From 5936f341320f8b4710649fd79d145af970c97469 Mon Sep 17 00:00:00 2001 From: Alexis VIALARET Date: Wed, 13 Dec 2023 20:19:33 +0100 Subject: [PATCH 1/8] add: database and auth mecanism --- README.md | 73 +---------------------- authentication.py | 41 +++++++++++++ client/main.py | 0 database/database.py | 30 ++++++++++ database/database_init.sql | 33 +++++++++++ document_store.py | 4 +- main.py | 118 ++++++++++++++++++++++++++++++++++--- model.py | 1 + requirements.txt | 4 +- sandbox_alexis/main.py | 2 +- tests/test_api.py | 21 +++++++ 11 files changed, 243 insertions(+), 84 deletions(-) create mode 100644 authentication.py create mode 100644 client/main.py create mode 100644 database/database.py create mode 100644 database/database_init.sql create mode 100644 tests/test_api.py diff --git a/README.md b/README.md index e68d0c7..1b43b74 100644 --- a/README.md +++ b/README.md @@ -2,75 +2,4 @@ # skaff-rag-accelerator -[![CI status](https://github.com/artefactory/skaff-rag-accelerator/actions/workflows/ci.yaml/badge.svg)](https://github.com/artefactory/skaff-rag-accelerator/actions/workflows/ci.yaml?query=branch%3Amain) -[![Python Version](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10-blue.svg)]() - -[![Linting , formatting, imports sorting: ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff) -[![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg)](https://github.com/PyCQA/bandit) -[![Pre-commit](https://img.shields.io/badge/pre--commit-enabled-informational?logo=pre-commit&logoColor=white)](https://github.com/artefactory/skaff-rag-accelerator/blob/main/.pre-commit-config.yaml) - - -TODO: if not done already, check out the [Skaff documentation](https://artefact.roadie.so/catalog/default/component/repo-builder-ds/docs/) for more information about the generated repository. - -Deploy RAGs quickly - -## Table of Contents - -- [skaff-rag-accelerator](#skaff-rag-accelerator) - - [Table of Contents](#table-of-contents) - - [Installation](#installation) - - [Usage](#usage) - - [Documentation](#documentation) - - [Repository Structure](#repository-structure) - -## Installation - -To install the required packages in a virtual environment, run the following command: - -```bash -make install -``` - -TODO: Choose between conda and venv if necessary or let the Makefile as is and copy/paste the [MORE INFO installation section](MORE_INFO.md#eased-installation) to explain how to choose between conda and venv. - -A complete list of available commands can be found using the following command: - -```bash -make help -``` - -## Usage - -TODO: Add usage instructions here - -## Documentation - -TODO: Github pages is not enabled by default, you need to enable it in the repository settings: Settings > Pages > Source: "Deploy from a branch" / Branch: "gh-pages" / Folder: "/(root)" - -A detailed documentation of this project is available [here](https://artefactory.github.io/skaff-rag-accelerator/) - -To serve the documentation locally, run the following command: - -```bash -mkdocs serve -``` - -To build it and deploy it to GitHub pages, run the following command: - -```bash -make deploy_docs -``` - -## Repository Structure - -``` -. -├── .github <- GitHub Actions workflows and PR template -├── bin <- Bash files -├── config <- Configuration files -├── docs <- Documentation files (mkdocs) -├── lib <- Python modules -├── notebooks <- Jupyter notebooks -├── secrets <- Secret files (ignored by git) -└── tests <- Unit tests -``` + \ No newline at end of file diff --git a/authentication.py b/authentication.py new file mode 100644 index 0000000..e796a22 --- /dev/null +++ b/authentication.py @@ -0,0 +1,41 @@ +from datetime import timedelta, datetime +import os +from pydantic import BaseModel +from jose import jwt + + +from database.database import DatabaseConnection + +SECRET_KEY = os.environ.get("SECRET_KEY", "default_unsecure_key") +ALGORITHM = "HS256" + +class User(BaseModel): + email: str = None + password: str = None + +def create_user(user: User): + with DatabaseConnection() as connection: + connection.query("INSERT INTO user (email, password) VALUES (?, ?)", (user.email, user.password)) + +def get_user(email: str): + with DatabaseConnection() as connection: + user_row = connection.query("SELECT * FROM user WHERE email = ?", (email,))[0] + for row in user_row: + return User(**row) + raise Exception("User not found") + +def authenticate_user(username: str, password: str): + user = get_user(username) + if not user or not password == user.password: + return False + return user + +def create_access_token(*, data: dict, expires_delta: timedelta = None): + to_encode = data.copy() + if expires_delta: + expire = datetime.utcnow() + expires_delta + else: + expire = datetime.utcnow() + timedelta(minutes=15) + to_encode.update({"exp": expire}) + encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM) + return encoded_jwt diff --git a/client/main.py b/client/main.py new file mode 100644 index 0000000..e69de29 diff --git a/database/database.py b/database/database.py new file mode 100644 index 0000000..0390c9a --- /dev/null +++ b/database/database.py @@ -0,0 +1,30 @@ +from pathlib import Path +import sqlite3 +from typing import List + +class DatabaseConnection: + def __enter__(self): + self.conn = sqlite3.connect(Path(__file__).parent / "database.sqlite") + self.conn.row_factory = sqlite3.Row + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + self.conn.commit() + self.conn.close() + + def query(self, query, params=None) -> List[List[sqlite3.Row]]: + cursor = self.conn.cursor() + results = [] + commands = filter(None, query.split(";")) + for command in commands: + cursor.execute(command, params or ()) + results.append(cursor.fetchall()) + return results + + def query_from_file(self, file_path): + with open(file_path, 'r') as file: + query = file.read() + self.query(query) + +with DatabaseConnection() as connection: + connection.query_from_file(Path(__file__).parent / "database_init.sql") \ No newline at end of file diff --git a/database/database_init.sql b/database/database_init.sql new file mode 100644 index 0000000..801befb --- /dev/null +++ b/database/database_init.sql @@ -0,0 +1,33 @@ +-- Go to https://dbdiagram.io/d/RAGAAS-63dbdcc6296d97641d7e07c8 +-- Make your changes +-- Export > Export to PostgresSQL (or other) +-- Translate to SQLite (works with a cmd+k in Cursor, or https://www.rebasedata.com/convert-postgresql-to-sqlite-online) +-- Paste here +-- Replace "CREATE TABLE" with "CREATE TABLE IF NOT EXISTS" + +CREATE TABLE IF NOT EXISTS "user" ( + "email" TEXT PRIMARY KEY, + "password" TEXT +); + +CREATE TABLE IF NOT EXISTS "chat" ( + "id" TEXT PRIMARY KEY, + "user_id" TEXT, + FOREIGN KEY ("user_id") REFERENCES "user" ("email") +); + +CREATE TABLE IF NOT EXISTS "message" ( + "id" TEXT PRIMARY KEY, + "timestamp" TEXT, + "chat_id" TEXT, + "sender" TEXT, + "content" TEXT, + FOREIGN KEY ("chat_id") REFERENCES "chat" ("id") +); + +CREATE TABLE IF NOT EXISTS "feedback" ( + "id" TEXT PRIMARY KEY, + "message_id" TEXT, + "feedback" TEXT, + FOREIGN KEY ("message_id") REFERENCES "message" ("id") +); diff --git a/document_store.py b/document_store.py index 327cb1c..035bda1 100644 --- a/document_store.py +++ b/document_store.py @@ -24,11 +24,11 @@ def persist_to_bucket(bucket_path: str, store: Chroma): def store_documents(docs: List[Document], bucket_path: str, storage_backend: StorageBackend): - lagnchain_documents = [doc.to_langchain_document() for doc in docs] + langchain_documents = [doc.to_langchain_document() for doc in docs] embeddings_model = OpenAIEmbeddings() persistent_client = chromadb.PersistentClient() collection = persistent_client.get_or_create_collection(get_storage_root_path(bucket_path, storage_backend)) - collection.add(documents=lagnchain_documents) + collection.add(documents=langchain_documents) langchain_chroma = Chroma( client=persistent_client, collection_name=bucket_path, diff --git a/main.py b/main.py index f857d95..2eabb6b 100644 --- a/main.py +++ b/main.py @@ -1,21 +1,123 @@ -from fastapi import FastAPI, HTTPException, status, Body +from datetime import timedelta from typing import List -from langchain.docstore.document import Document -from document_store import StorageBackend + +from fastapi import FastAPI, Depends, HTTPException, status +from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm +from jose import jwt, JWTError + import document_store -from model import ChatMessage +from authentication import (authenticate_user, create_access_token, create_user, + get_user, User, SECRET_KEY, ALGORITHM) +from document_store import StorageBackend from model import Doc + app = FastAPI() + +############################################ +### Authentication ### +############################################ + +oauth2_scheme = OAuth2PasswordBearer(tokenUrl="login") +async def get_current_user(token: str = Depends(oauth2_scheme)) -> User: + credentials_exception = HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Could not validate credentials", + headers={"WWW-Authenticate": "Bearer"}, + ) + try: + payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM]) + email: str = payload.get("email") # 'sub' is commonly used to store user identity + if email is None: + raise credentials_exception + # Here you should fetch the user from the database by user_id + user = get_user(email) + if user is None: + raise credentials_exception + return user + except JWTError: + raise credentials_exception + +@app.post("/user/signup") +async def signup(user: User): + try: + user = get_user(user.email) + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=f"User {user.email} already registered" + ) + except Exception as e: + create_user(user) + return {"email": user.email} + +@app.post("/user/login") +async def login(form_data: OAuth2PasswordRequestForm = Depends()): + user = authenticate_user(form_data.username, form_data.password) + if not user: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Incorrect username or password", + headers={"WWW-Authenticate": "Bearer"}, + ) + access_token_expires = timedelta(minutes=60) + access_token = create_access_token( + data=user.model_dump(), expires_delta=access_token_expires + ) + return {"access_token": access_token, "token_type": "bearer"} + +@app.get("/user/me") +async def user_me(current_user: User = Depends(get_current_user)): + return current_user + + +############################################ +### Chat ### +############################################ +# P1 +@app.post("/chat/new") +async def chat_new(current_user: User = Depends(get_current_user)): + pass + +# P1 +@app.post("/chat/user_message") +async def chat_prompt(current_user: User = Depends(get_current_user)): + pass + +@app.get("/chat/list") +async def chat_list(current_user: User = Depends(get_current_user)): + pass + +@app.get("/chat/{chat_id}") +async def chat(chat_id: str, current_user: User = Depends(get_current_user)): + pass + + +############################################ +### Feedback ### +############################################ + +@app.post("/feedback/thumbs_up") +async def feedback_thumbs_up(current_user: User = Depends(get_current_user)): + pass + +@app.post("/feedback/thumbs_down") +async def feedback_thumbs_down(current_user: User = Depends(get_current_user)): + pass + +@app.post("/feedback/regenerate") +async def feedback_regenerate(current_user: User = Depends(get_current_user)): + pass + + +############################################ +### Other ### +############################################ + @app.post("/index/documents") async def index_documents(chunks: List[Doc], bucket: str, storage_backend: StorageBackend): document_store.store_documents(chunks, bucket, storage_backend) -@app.post("/chat") -async def chat(chat_message: ChatMessage): - pass - if __name__ == "__main__": import uvicorn diff --git a/model.py b/model.py index c1c3740..dadba97 100644 --- a/model.py +++ b/model.py @@ -3,6 +3,7 @@ class ChatMessage(BaseModel): message: str + message_id: str session_id: str class Doc(BaseModel): diff --git a/requirements.txt b/requirements.txt index 746b00d..ec94ae1 100644 --- a/requirements.txt +++ b/requirements.txt @@ -5,4 +5,6 @@ universal_pathlib chromadb langchain langchainhub -gpt4all \ No newline at end of file +gpt4all +python-multipart +httpx \ No newline at end of file diff --git a/sandbox_alexis/main.py b/sandbox_alexis/main.py index f959c9b..2fd2166 100644 --- a/sandbox_alexis/main.py +++ b/sandbox_alexis/main.py @@ -14,5 +14,5 @@ split_documents = load_and_split_document(text=data) root_path = get_storage_root_path("dbt-server-alexis3-36fe-rag", StorageBackend.GCS) -vector_store = Chroma(persist_directory=str(root_path / "chromadb"), embedding_function=GPT4AllEmbeddings()) +vector_store = Chroma(persist_directory=root_path / "chromadb", embedding_function=GPT4AllEmbeddings()) db = vector_store.add_documents(split_documents) \ No newline at end of file diff --git a/tests/test_api.py b/tests/test_api.py new file mode 100644 index 0000000..ca663d0 --- /dev/null +++ b/tests/test_api.py @@ -0,0 +1,21 @@ +from fastapi.testclient import TestClient +from main import app + +client = TestClient(app) + +def test_signup(): + response = client.post("/user/signup", json={"email": "test@example.com", "password": "testpassword"}) + assert response.status_code == 200 + assert response.json()["email"] == "test@example.com" + +def test_login(): + response = client.post("/user/login", data={"username": "test@example.com", "password": "testpassword"}) + assert response.status_code == 200 + assert "access_token" in response.json() + +def test_user_me(): + login_response = client.post("/user/login", data={"username": "test@example.com", "password": "testpassword"}) + token = login_response.json()["access_token"] + response = client.get("/user/me", headers={"Authorization": f"Bearer {token}"}) + assert response.status_code == 200 + assert response.json()["email"] == "test@example.com" From 2a7daadd87c90872a981c5b11d2ec72244b56647 Mon Sep 17 00:00:00 2001 From: Alexis VIALARET Date: Thu, 14 Dec 2023 09:05:30 +0100 Subject: [PATCH 2/8] upd: better db class, better testing --- authentication.py | 6 ++-- database/database.py | 19 ++++++++++-- main.py | 31 +++++++++++++++---- sandbox_alexis/storage_backend.py | 15 ---------- tests/test_api.py | 40 +++++++++++++++++++++---- user_management.py | 50 +++++++++++++++++++++++++++++++ 6 files changed, 129 insertions(+), 32 deletions(-) delete mode 100644 sandbox_alexis/storage_backend.py create mode 100644 user_management.py diff --git a/authentication.py b/authentication.py index e796a22..92e477f 100644 --- a/authentication.py +++ b/authentication.py @@ -4,7 +4,7 @@ from jose import jwt -from database.database import DatabaseConnection +from database.database import Database SECRET_KEY = os.environ.get("SECRET_KEY", "default_unsecure_key") ALGORITHM = "HS256" @@ -14,11 +14,11 @@ class User(BaseModel): password: str = None def create_user(user: User): - with DatabaseConnection() as connection: + with Database() as connection: connection.query("INSERT INTO user (email, password) VALUES (?, ?)", (user.email, user.password)) def get_user(email: str): - with DatabaseConnection() as connection: + with Database() as connection: user_row = connection.query("SELECT * FROM user WHERE email = ?", (email,))[0] for row in user_row: return User(**row) diff --git a/database/database.py b/database/database.py index 0390c9a..bab151a 100644 --- a/database/database.py +++ b/database/database.py @@ -1,14 +1,21 @@ +import os from pathlib import Path import sqlite3 from typing import List -class DatabaseConnection: +class Database: + def __init__(self): + db_name = "test.sqlite" if os.getenv("TESTING", "false").lower() == "true" else "database.sqlite" + self.db_path = Path(__file__).parent / db_name + def __enter__(self): - self.conn = sqlite3.connect(Path(__file__).parent / "database.sqlite") + self.conn = sqlite3.connect(self.db_path) self.conn.row_factory = sqlite3.Row return self def __exit__(self, exc_type, exc_val, exc_tb): + if exc_type is not None: + self.conn.rollback() self.conn.commit() self.conn.close() @@ -26,5 +33,11 @@ def query_from_file(self, file_path): query = file.read() self.query(query) -with DatabaseConnection() as connection: + def delete_db(self): + if self.conn: + self.conn.close() + if self.db_path.exists(): + self.db_path.unlink(missing_ok=True) + +with Database() as connection: connection.query_from_file(Path(__file__).parent / "database_init.sql") \ No newline at end of file diff --git a/main.py b/main.py index 2eabb6b..c089cdd 100644 --- a/main.py +++ b/main.py @@ -6,8 +6,8 @@ from jose import jwt, JWTError import document_store -from authentication import (authenticate_user, create_access_token, create_user, - get_user, User, SECRET_KEY, ALGORITHM) +from user_management import (authenticate_user, create_access_token, create_user, + get_user, User, SECRET_KEY, ALGORITHM, user_exists) from document_store import StorageBackend from model import Doc @@ -41,16 +41,35 @@ async def get_current_user(token: str = Depends(oauth2_scheme)) -> User: @app.post("/user/signup") async def signup(user: User): - try: - user = get_user(user.email) + if user_exists(user.email): raise HTTPException( status_code=status.HTTP_400_BAD_REQUEST, detail=f"User {user.email} already registered" ) - except Exception as e: - create_user(user) + + create_user(user) return {"email": user.email} + +@app.delete("/user/") +async def delete_user(current_user: User = Depends(get_current_user)): + email = current_user.email + try: + user = get_user(email) + if user is None: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"User {email} not found" + ) + delete_user(email) + return {"detail": f"User {email} deleted"} + except Exception as e: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail="Internal Server Error" + ) + + @app.post("/user/login") async def login(form_data: OAuth2PasswordRequestForm = Depends()): user = authenticate_user(form_data.username, form_data.password) diff --git a/sandbox_alexis/storage_backend.py b/sandbox_alexis/storage_backend.py deleted file mode 100644 index 693f63e..0000000 --- a/sandbox_alexis/storage_backend.py +++ /dev/null @@ -1,15 +0,0 @@ -from upath import UPath as Path -from enum import Enum - - -class StorageBackend(Enum): - LOCAL = "local" - MEMORY = "memory" - GCS = "gcs" - S3 = "s3" - AZURE = "az" - - -def get_storage_root_path(bucket_name, storage_backend: StorageBackend): - root_path = Path(f"{storage_backend.value}://{bucket_name}") - return root_path diff --git a/tests/test_api.py b/tests/test_api.py index ca663d0..893afae 100644 --- a/tests/test_api.py +++ b/tests/test_api.py @@ -1,21 +1,51 @@ +import os +os.environ["TESTING"] = "True" + +from pathlib import Path from fastapi.testclient import TestClient +import pytest + +from database.database import Database from main import app client = TestClient(app) -def test_signup(): +@pytest.fixture() +def initialize_database(): + db = Database() + with db: + db.query_from_file(Path(__file__).parents[1] / "database" / "database_init.sql") + yield db + db.delete_db() + +def test_signup(initialize_database): + response = client.post("/user/signup", json={"email": "test@example.com", "password": "testpassword"}) + assert response.status_code == 200 + assert response.json()["email"] == "test@example.com" + + response = client.post("/user/signup", json={"email": "test@example.com", "password": "testpassword"}) + assert response.status_code == 400 + assert "detail" in response.json() + assert response.json()["detail"] == "User test@example.com already registered" + +def test_login(initialize_database): response = client.post("/user/signup", json={"email": "test@example.com", "password": "testpassword"}) assert response.status_code == 200 assert response.json()["email"] == "test@example.com" + response = client.post("/user/login", data={"username": "test@example.com", "password": "testpassword"}) + assert response.status_code == 200 + assert "access_token" in response.json() -def test_login(): +def test_user_me(initialize_database): + response = client.post("/user/signup", json={"email": "test@example.com", "password": "testpassword"}) + assert response.status_code == 200 + assert response.json()["email"] == "test@example.com" + response = client.post("/user/login", data={"username": "test@example.com", "password": "testpassword"}) assert response.status_code == 200 assert "access_token" in response.json() -def test_user_me(): - login_response = client.post("/user/login", data={"username": "test@example.com", "password": "testpassword"}) - token = login_response.json()["access_token"] + token = response.json()["access_token"] response = client.get("/user/me", headers={"Authorization": f"Bearer {token}"}) assert response.status_code == 200 assert response.json()["email"] == "test@example.com" diff --git a/user_management.py b/user_management.py new file mode 100644 index 0000000..0574614 --- /dev/null +++ b/user_management.py @@ -0,0 +1,50 @@ +from datetime import timedelta, datetime +import os +from pydantic import BaseModel +from jose import jwt + + +from database.database import Database + +SECRET_KEY = os.environ.get("SECRET_KEY", "default_unsecure_key") +ALGORITHM = "HS256" + +class User(BaseModel): + email: str = None + password: str = None + +def create_user(user: User): + with Database() as connection: + connection.query("INSERT INTO user (email, password) VALUES (?, ?)", (user.email, user.password)) + +def user_exists(email: str) -> bool: + with Database() as connection: + result = connection.query("SELECT 1 FROM user WHERE email = ?", (email,))[0] + return bool(result) + +def get_user(email: str): + with Database() as connection: + user_row = connection.query("SELECT * FROM user WHERE email = ?", (email,))[0] + for row in user_row: + return User(**row) + raise Exception("User not found") + +def delete_user(email: str): + with Database() as connection: + connection.query("DELETE FROM user WHERE email = ?", (email,)) + +def authenticate_user(username: str, password: str): + user = get_user(username) + if not user or not password == user.password: + return False + return user + +def create_access_token(*, data: dict, expires_delta: timedelta = None): + to_encode = data.copy() + if expires_delta: + expire = datetime.utcnow() + expires_delta + else: + expire = datetime.utcnow() + timedelta(minutes=15) + to_encode.update({"exp": expire}) + encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM) + return encoded_jwt From 3b5ba630ee27fd3d36948abd0d8d08dc47cf99b8 Mon Sep 17 00:00:00 2001 From: Alexis VIALARET Date: Thu, 14 Dec 2023 10:36:26 +0100 Subject: [PATCH 3/8] add: implmemented feedback endpoints --- main.py | 24 +++++++----- tests/test_feedback.py | 55 ++++++++++++++++++++++++++++ tests/{test_api.py => test_users.py} | 0 3 files changed, 69 insertions(+), 10 deletions(-) create mode 100644 tests/test_feedback.py rename tests/{test_api.py => test_users.py} (100%) diff --git a/main.py b/main.py index c089cdd..cbc829d 100644 --- a/main.py +++ b/main.py @@ -1,9 +1,11 @@ from datetime import timedelta from typing import List +from uuid import uuid4 from fastapi import FastAPI, Depends, HTTPException, status from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm from jose import jwt, JWTError +from database.database import Database import document_store from user_management import (authenticate_user, create_access_token, create_user, @@ -103,6 +105,10 @@ async def chat_new(current_user: User = Depends(get_current_user)): async def chat_prompt(current_user: User = Depends(get_current_user)): pass +@app.post("/chat/regenerate") +async def chat_regenerate(current_user: User = Depends(get_current_user)): + pass + @app.get("/chat/list") async def chat_list(current_user: User = Depends(get_current_user)): pass @@ -116,17 +122,15 @@ async def chat(chat_id: str, current_user: User = Depends(get_current_user)): ### Feedback ### ############################################ -@app.post("/feedback/thumbs_up") -async def feedback_thumbs_up(current_user: User = Depends(get_current_user)): - pass - -@app.post("/feedback/thumbs_down") -async def feedback_thumbs_down(current_user: User = Depends(get_current_user)): - pass +@app.post("/feedback/{message_id}/thumbs_up") +async def feedback_thumbs_up(message_id, current_user: User = Depends(get_current_user)): + with Database() as connection: + connection.query("INSERT INTO feedback (id, message_id, feedback) VALUES (?, ?, ?)", (str(uuid4()), message_id, "thumbs_up")) -@app.post("/feedback/regenerate") -async def feedback_regenerate(current_user: User = Depends(get_current_user)): - pass +@app.post("/feedback/{message_id}/thumbs_down") +async def feedback_thumbs_down(message_id, current_user: User = Depends(get_current_user)): + with Database() as connection: + connection.query("INSERT INTO feedback (id, message_id, feedback) VALUES (?, ?, ?)", (str(uuid4()), message_id, "thumbs_down")) ############################################ diff --git a/tests/test_feedback.py b/tests/test_feedback.py new file mode 100644 index 0000000..a0b8031 --- /dev/null +++ b/tests/test_feedback.py @@ -0,0 +1,55 @@ +import os +os.environ["TESTING"] = "True" + +from pathlib import Path + +import pytest +from fastapi.testclient import TestClient + +from database.database import Database +from main import app + + +client = TestClient(app) + +@pytest.fixture(scope="module") +def context(): + db = Database() + with db: + db.query_from_file(Path(__file__).parents[1] / "database" / "database_init.sql") + + user_data = { + "email": "test@example.com", + "password": "testpassword" + } + + response = client.post("/user/signup", json=user_data) + assert response.status_code == 200 + response = client.post("/user/login", data={"username": user_data["email"], "password": user_data["password"]}) + assert response.status_code == 200 + token = response.json()["access_token"] + client.headers = { + **client.headers, + "Authorization": f"Bearer {token}" + } + + yield client.headers, db + db.delete_db() + +def test_feedback_thumbs_up(context): + headers, db = context[0], context[1] + message_id = "test_message_id_1" + response = client.post(f"/feedback/{message_id}/thumbs_up", headers=headers) + assert response.status_code == 200 + with db: + result = db.query("SELECT 1 FROM feedback WHERE message_id = ?", (message_id, ))[0] + assert len(result) == 1 + +def test_feedback_thumbs_down(context): + headers, db = context[0], context[1] + message_id = "test_message_id_2" + response = client.post(f"/feedback/{message_id}/thumbs_down", headers=headers) + assert response.status_code == 200 + with db: + result = db.query("SELECT 1 FROM feedback WHERE message_id = ?", (message_id, ))[0] + assert len(result) == 1 diff --git a/tests/test_api.py b/tests/test_users.py similarity index 100% rename from tests/test_api.py rename to tests/test_users.py From 3eec28e7bcdbc55520cd7c399aa007741adb374a Mon Sep 17 00:00:00 2001 From: Sarah LAUZERAL Date: Sun, 17 Dec 2023 16:07:34 +0100 Subject: [PATCH 4/8] init streamlit --- .github/workflows/ci.yaml | 4 +- .github/workflows/deploy_docs.yaml | 2 +- .gitignore | 1 + .pre-commit-config.yaml | 40 ++ Makefile | 26 ++ app/app.py | 94 +++++ app/assets/logo_tab.jpeg | Bin 0 -> 4218 bytes app/assets/logo_title.jpeg | Bin 0 -> 32311 bytes app/assets/logo_user.png | Bin 0 -> 13125 bytes app/lib/chatbot.py | 221 +++++++++++ app/lib/logs.py | 66 ++++ bin/install_with_conda.sh | 18 + bin/install_with_venv.sh | 20 + lib/backend.py | 92 +++++ pyproject.toml | 87 +++++ requirements.in | 30 ++ requirements.txt | 579 ++++++++++++++++++++++++++++- test_sla.ipynb | 141 +++++++ 18 files changed, 1408 insertions(+), 13 deletions(-) create mode 100644 .pre-commit-config.yaml create mode 100644 Makefile create mode 100644 app/app.py create mode 100644 app/assets/logo_tab.jpeg create mode 100644 app/assets/logo_title.jpeg create mode 100644 app/assets/logo_user.png create mode 100644 app/lib/chatbot.py create mode 100644 app/lib/logs.py create mode 100644 bin/install_with_conda.sh create mode 100644 bin/install_with_venv.sh create mode 100644 lib/backend.py create mode 100644 pyproject.toml create mode 100644 requirements.in create mode 100644 test_sla.ipynb diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml index 6052675..d0c5245 100644 --- a/.github/workflows/ci.yaml +++ b/.github/workflows/ci.yaml @@ -8,7 +8,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: ['3.8', '3.9', '3.10'] + python-version: ['3.11'] steps: - uses: actions/checkout@v2 @@ -20,6 +20,6 @@ jobs: - name: Install requirements run: | python -m pip install --upgrade pip - pip install -r requirements-developer.txt + pip install -r requirements.txt - name: Run Pre commit hook (formatting, linting & tests) run: pre-commit run --all-files --hook-stage pre-push --show-diff-on-failure diff --git a/.github/workflows/deploy_docs.yaml b/.github/workflows/deploy_docs.yaml index d8b7124..39f1f5e 100644 --- a/.github/workflows/deploy_docs.yaml +++ b/.github/workflows/deploy_docs.yaml @@ -19,7 +19,7 @@ jobs: - name: Install requirements run: | python -m pip install --upgrade pip - pip install -r requirements-developer.txt + pip install -r requirements.txt - name: Deploying MkDocs documentation run: | mkdocs build diff --git a/.gitignore b/.gitignore index 0dbaa4d..b6bc6d8 100644 --- a/.gitignore +++ b/.gitignore @@ -136,3 +136,4 @@ secrets/* # Mac OS .DS_Store +data/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..4318519 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,40 @@ +repos: + - repo: "https://github.com/pre-commit/pre-commit-hooks" + rev: v4.4.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-toml + - id: check-yaml + - id: check-json + - id: check-added-large-files + - repo: local + hooks: + - id: black + name: Formatting (black) + entry: black + types: [python] + language: system + - id: isort + name: Sorting imports (isort) + entry: isort + types: [python] + language: system + - id: ruff + name: Linting (ruff) + entry: ruff + types: [python] + language: system + - id: nbstripout + name: Strip Jupyter notebook output (nbstripout) + entry: nbstripout + types: [file] + files: (.ipynb)$ + language: system + - id: python-bandit-vulnerability-check + name: Security check (bandit) + entry: bandit + types: [python] + args: ["-c", "pyproject.toml"] + language: system +exclude: ^(.svn|CVS|.bzr|.hg|.git|__pycache__|.tox|.ipynb_checkpoints|assets|tests/assets/|venv/|.venv/) diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..aaef9f6 --- /dev/null +++ b/Makefile @@ -0,0 +1,26 @@ +USE_CONDA ?= 1 +INSTALL_SCRIPT = install_with_conda.sh +ifeq (false,$(USE_CONDA)) + INSTALL_SCRIPT = install_with_venv.sh +endif + +# help: help - Display this makefile's help information +.PHONY: help +help: + @grep "^# help\:" Makefile | grep -v grep | sed 's/\# help\: //' | sed 's/\# help\://' + +# help: install - Create a virtual environment and install dependencies +.PHONY: install +install: + @bash bin/$(INSTALL_SCRIPT) + +# help: install_precommit - Install pre-commit hooks +.PHONY: install_precommit +install_precommit: + @pre-commit install -t pre-commit + @pre-commit install -t pre-push + +# help: format_code - Run pre-commit on all files +.PHONY: format_code +format_code: + @pre-commit run -a diff --git a/app/app.py b/app/app.py new file mode 100644 index 0000000..231181f --- /dev/null +++ b/app/app.py @@ -0,0 +1,94 @@ +import os +from datetime import datetime + +import streamlit as st +from dotenv import load_dotenv +from langchain.memory import ConversationBufferMemory +from langchain.memory.chat_message_histories import StreamlitChatMessageHistory +from PIL import Image +from streamlit_feedback import streamlit_feedback + +import lib.chatbot as utils +from lib.auth import auth_cloud_run + +load_dotenv() +embedding_api_base = os.getenv("EMBEDDING_OPENAI_API_BASE") +embedding_api_key = os.getenv("EMBEDDING_API_KEY") + + +if __name__ == "__main__": + logo_title = Image.open("interface/assets/Hello_bank_logo.png") + logo_tab = Image.open("interface/assets/hello_bank_chat_logo.jpeg") + logo_chat = Image.open("interface/assets/helloiz_logo.png") + logo_user = Image.open("interface/assets/logo_user.png") + + st.set_page_config( + page_title="Helloïz ChatBot", + page_icon=logo_tab, + ) + + if not auth_cloud_run(): + st.stop() + + col1, mid, col2 = st.columns([4, 4, 20]) + with col1: + st.image(logo_title, width=100) + with col2: + st.title("Helloïz demo") + st.caption( + "Helloïz demo est un assistant IA offrant des conseils sur les offres \ + et services de la banque en ligne Hello Bank.\ + Il ne remplace pas un conseiller bancaire. Helloïz peut commettre des erreurs." + ) + + msgs = StreamlitChatMessageHistory(key="special_app_key") + memory = ConversationBufferMemory( + memory_key="chat_history", chat_memory=msgs, return_messages=True + ) + + llm_40 = utils.get_llm(temperature=0.1, model_version="4", live_streaming=True) + embeddings = utils.get_embeddings_model(embedding_api_base, embedding_api_key) + + documents = utils.load_documents(source="site") + texts = utils.get_chunks(documents, chunk_size=1500, chunk_overlap=200) + docsearch = utils.get_vector_store(texts, embeddings) + answer_chain = utils.get_answer_chain(llm_40, docsearch, memory) + + if len(msgs.messages) == 0: + msgs.add_ai_message( + f"Bonjour {st.session_state['name']} !\ + Je suis Helloïz, comment puis-je vous aider ?" + ) + + for msg in msgs.messages: + msg_content_formatted = utils.format_history_msg(msg.content) + if msg.type == "ai": + with st.chat_message(msg.type, avatar=logo_chat): + st.markdown(msg_content_formatted) + else: + with st.chat_message(msg.type, avatar=logo_user): + st.markdown(msg_content_formatted) + + if prompt := st.chat_input(): + st.chat_message("human", avatar=logo_user).write(prompt) + with st.chat_message("ai", avatar=logo_chat): + response = utils.get_response(answer_chain, prompt) + st.markdown(response) + + # if st.session_state.get("run_id"): + feedback = streamlit_feedback( + feedback_type="thumbs", + optional_text_label="[Optional] Please provide an explanation", + # on_submit= + # key=f"feedback_{st.session_state.run_id}", + ) + + if feedback: + data_dict = { + "query": prompt, + "answer": response, + "user": st.session_state.get("name", False), + "horodate": datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S"), + "feedback": feedback.get("feedback_type"), + } + print(data_dict) diff --git a/app/assets/logo_tab.jpeg b/app/assets/logo_tab.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..a92b5dc9ad8f1b94e5b0cd32c4577134a6d76022 GIT binary patch literal 4218 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ziB*E1%=@Vb^j1^e!)wztlwVqMBOs)v!-#|%0Xp%90&%L-k=`ID%P+5Qj-WMg$SB~x z)seW6lati6LP;)cKOsR`BIF6;u;YFjv&U9P1@+ZEhqmTDaqPBt=c0lP_H%uVM?4)= zviR{Ev3M}c{XaQaHu#^;8?6*9<`1!qaMa7w^o7g!et7}9Ka{hN{+y-6v%yKeXjPBU z1u{!kqHLB9C$_#X7aVz|FE{l z_E+!kyzaQus`mh>F9wzSSo~@F`dt)H1d-hV^|pV97xB+l(BTN5*!`?YQ}z4yG*8y} z)*aRUTj-ogiJs+qi{fz9UB7#G+y^>R`)c;Vhh!>2=zNuQQ?+$>@TTOW%TjKn1LK(A z!<-4EU;gU{=aS`zrymI+k;G@5^)uG{XHYLshYSTo_u?qL`-mAs50&Hy1W_)Oh2@H()sw=5xY+b$YWyC82i7@B-; z=d5AIT1U!?VD8WEgjn$JH5!rRL2CrB0{C!7yqW7cAX`)Z-t;OpO)R1iJ1)8WwOh(q zSu(#xd`3F#E~uXjAjuH685VILv#GH$7x&x(LpI*d`QRLjTR6W-pFEng754$3rhYMz zrG6`>ibGY14cxJ8=7@VCBKCdi;ibvrlZ@wfV~6>+yUxvyf`!Dp{yCEygW z>ZIgDH2$_Svjf~(SOi7lZ~rw2fWiBs-Qg5qFw<}TEC~59A=%X99RW0zoVZ~KNmg~I z)>tk>s5%X1LLk^G$V}p15ZVIN$Y83Egtrp20yHC*L^MJQJ(79Vn1rV!FZ2pf>Tt+t z_yL1l$wVl5p!DBHWA=DT&ly1Xqvw`Ez}yWI=+wf^nh=KWc{gWc3%} ziDQD^h(RAP5l`uhU$u-015{C>)bR|r%qtO1cS1 AzureChatOpenAI: + """Returns an instance of AzureChatOpenAI based on the provided parameters.""" + if model_version == "4": + llm = AzureChatOpenAI( + deployment_name="gpt-4", + temperature=temperature, + openai_api_version="2023-07-01-preview", + streaming=live_streaming, + verbose=live_streaming, + ) + elif model_version == "3.5": + llm = AzureChatOpenAI( + deployment_name="gpt-35-turbo", + temperature=temperature, + openai_api_version="2023-03-15-preview", + streaming=live_streaming, + verbose=live_streaming, + ) + return llm + + +@st.cache_resource +def get_embeddings_model(embedding_api_base: str, embedding_api_key: str) -> OpenAIEmbeddings: + """Returns an instance of OpenAIEmbeddings based on the provided parameters.""" + return OpenAIEmbeddings( + deployment="text-embedding-ada-002", + openai_api_type="azure", + openai_api_base=embedding_api_base, + openai_api_key=embedding_api_key, + chunk_size=16, + ) + + +def get_documents(data: pd.DataFrame) -> List[Document]: + """Converts a dataframe into a list of Document objects.""" + docs = data["answer"].tolist() + metadatas = data[["source", "question"]].to_dict("records") + + documents = [] + for text, metadata in zip(docs, metadatas): + document = Document(page_content=text, metadata=metadata) + documents.append(document) + return documents + + +@st.cache_data +def load_documents(source: str) -> List[Document]: + """Loads documents from two CSV files and returns a combined list of these documents.""" + if source == "faq": + data_faq = pd.read_csv( + "../interface/assets/scraping_faq.csv", delimiter="\t", encoding="utf-8-sig" + ) + documents = get_documents(data_faq) + + elif source == "site": + data_site = pd.read_csv( + "interface/assets/scraping_site.csv", delimiter="\t", encoding="utf-8-sig" + ) # ../interface/assets/scraping_site.csv + data_site["question"] = ( + data_site["source"].str.rsplit("/", n=2).str[-2].str.replace("-", " ") + ) + data_site = data_site.rename(columns={"description": "answer"}) + documents = get_documents(data_site) + + elif source == "both": + data_faq = pd.read_csv( + "../interface/assets/scraping_faq.csv", delimiter="\t", encoding="utf-8-sig" + ) + documents_faq = get_documents(data_faq) + + data_site = pd.read_csv( + "../interface/assets/scraping_site.csv", delimiter="\t", encoding="utf-8-sig" + ) + data_site["question"] = ( + data_site["source"].str.rsplit("/", n=2).str[-2].str.replace("-", " ") + ) + data_site = data_site.rename(columns={"description": "answer"}) + documents_site = get_documents(data_site) + documents = documents_faq + documents_site + + return documents + + +@st.cache_data +def get_chunks(_documents: List[str], chunk_size: int, chunk_overlap: int) -> List[str]: + """Splits the documents into chunks.""" + text_splitter = RecursiveCharacterTextSplitter( + separators=["\n\n", "\n", " "], chunk_size=chunk_size, chunk_overlap=chunk_overlap + ) + return text_splitter.split_documents(_documents) + + +@st.cache_resource +def get_vector_store(_texts: List[str], _embeddings: OpenAIEmbeddings) -> Chroma: + """Returns an instance of Chroma based on the provided parameters.""" + return Chroma.from_documents(_texts, _embeddings) + + +def get_answer_chain( + llm: AzureChatOpenAI, docsearch: Chroma, memory: ConversationBufferMemory +) -> ConversationalRetrievalChain: + """Returns an instance of ConversationalRetrievalChain based on the provided parameters.""" + template = """Étant donné l'historique de conversation et la question suivante, \ +pouvez-vous reformuler dans sa langue d'origine la question de l'utilisateur \ +pour qu'elle soit auto porteuse. Assurez-vous d'éviter l'utilisation de pronoms peu clairs. + +Historique de chat : +{chat_history} +Question complémentaire : {question} + +Question reformulée : +""" + condense_question_prompt = PromptTemplate.from_template(template) + condense_question_chain = LLMChain( + llm=llm, + prompt=condense_question_prompt, + ) + + messages = [ + SystemMessage( + content=( + """En tant qu'assistant bancaire nommé Helloïz, spécialisé dans les +services de la banque en ligne Hello Bank, votre mission est de répondre de manière \ +précise et concise aux interrogations des utilisateurs. +Il est essentiel de répondre dans la même langue que celle utilisée pour poser la question. +Les réponses doivent être rédigées dans un style professionnel et doivent faire preuve \ +d'une grande attention aux détails. +Pour répondre à chaque question, veuillez structurer votre réponse sous la forme \ +d'un objet JSON avec les clés suivantes : +- 'answer': Fournissez une réponse claire, précise et excacte à la question. +- 'source': Enumérez le contenu spécifique du document que vous avez utilisé pour formuler \ +votre réponse. + +Exemple : +{ +"answer": "Si vous ne parvenez pas à effectuer un virement unitaire ou permanent, \ +nous vous invitons à contacter la Hello Team.", +"source": ["https://www.hellobank.fr/faq/mon-virement-a-ete-bloque-que-faire.html"] +} +""" + ) + ), + HumanMessage(content="Répondez à la question en prenant en compte le contexte suivant"), + HumanMessagePromptTemplate.from_template("{context}"), + HumanMessagePromptTemplate.from_template("Question: {question}"), + HumanMessage(content="Tips: Make sure to answer in the specific JSON format requested."), + ] + system_prompt = ChatPromptTemplate(messages=messages) + qa_chain = LLMChain( + llm=llm, + prompt=system_prompt, + ) + + doc_prompt = PromptTemplate( + template="Content: {page_content}\nSource: {source}", + input_variables=["page_content", "source"], + ) + + final_qa_chain = StuffDocumentsChain( + llm_chain=qa_chain, + document_variable_name="context", + document_prompt=doc_prompt, + ) + + return ConversationalRetrievalChain( + question_generator=condense_question_chain, + retriever=docsearch.as_retriever(), + memory=memory, + combine_docs_chain=final_qa_chain, + verbose=False, + ) + + +def format_chatbot_answer(response_msg: str) -> str: + """Formats the chatbot's answer from a JSON string to a more readable string format.""" + response = response_msg.replace("\n\n", "\\n") + json_response = json.loads(response) + answer = json_response["answer"] + source = json_response["source"] + chatbot_answer = f"{answer}\n\n" + for ref in source: + add_ref = f"Pour en savoir plus, vous pouvez consulter la page suivante: {ref} \n\n" + chatbot_answer += add_ref + return chatbot_answer + + +def get_response(answer_chain: ConversationalRetrievalChain, query: str) -> str: + """Processes the given query through the answer chain and returns the formatted response.""" + response = answer_chain.run(query) + return format_chatbot_answer(response) + + +def format_history_msg(msg_content: str) -> str: + """Formats the history message content.""" + if msg_content.startswith("{"): + return format_chatbot_answer(msg_content) + return msg_content diff --git a/app/lib/logs.py b/app/lib/logs.py new file mode 100644 index 0000000..9451968 --- /dev/null +++ b/app/lib/logs.py @@ -0,0 +1,66 @@ +import os +from typing import Any, Dict, List, Sequence + +import streamlit as st +from langchain.callbacks.base import BaseCallbackHandler +from langchain.schema.document import Document + + +class StreamHandler(BaseCallbackHandler): + """StreamHandler is a class that handles the streaming of text. + + It is a callback handler for a language model. \ + It displays the generated text in a Streamlit container \ + and handles the start of the language model and the generation of new tokens. + """ + + def __init__( + self, container: st.delta_generator.DeltaGenerator, initial_text: str = "" + ) -> None: + """Initialize the StreamHandler.""" + self.container = container + self.text = initial_text + self.run_id_ignore_token = None + + def on_llm_start( + self, serialized: dict, prompts: List[str], **kwargs: Dict[str, Any] # noqa: ARG002 + ) -> None: + """Handle the start of the language model.""" + if "Question reformulée :" in prompts[0]: + self.run_id_ignore_token = kwargs.get("run_id") + + def on_llm_new_token(self, token: str, **kwargs: Dict[str, Any]) -> None: + """Handle the generation of a new token by the language model.""" + if self.run_id_ignore_token == kwargs.get("run_id", False): + return + self.text += token + self.container.markdown(self.text) + + +class PrintRetrievalHandler(BaseCallbackHandler): + """PrintRetrievalHandler is a class that handles the retrieval of documents. + + It is a callback handler for a document retriever. \ + It displays the status and content of the retrieved documents in a Streamlit container. + """ + + def __init__(self, container: st.delta_generator.DeltaGenerator) -> None: + """Initialize the PrintRetrievalHandler.""" + self.status = container.status("**Context Retrieval**") + + def on_retriever_start( + self, serialized: Dict[str, Any], query: str, **kwargs: Dict[str, Any] # noqa: ARG002 + ) -> None: + """Handle the start of the document retrieval.""" + self.status.write(f"**Question:** {query}") + self.status.update(label=f"**Context Retrieval:** {query}") + + def on_retriever_end( + self, documents: Sequence[Document], **kwargs: Dict[str, Any] # noqa: ARG002 + ) -> None: + """Handle the end of the document retrieval.""" + for idx, doc in enumerate(documents): + source = os.path.basename(doc.metadata["source"]) # noqa: PTH119 + self.status.write(f"**Document {idx} from {source}**") + self.status.markdown(doc.page_content) + self.status.update(state="complete") diff --git a/bin/install_with_conda.sh b/bin/install_with_conda.sh new file mode 100644 index 0000000..af3fd9c --- /dev/null +++ b/bin/install_with_conda.sh @@ -0,0 +1,18 @@ +#!/bin/bash -e + +read -p "Want to install conda env named 'skaff-rag-accelerator'? (y/n)" answer +if [ "$answer" = "y" ]; then + echo "Installing conda env..." + conda create -n skaff-rag-accelerator python=3.11 -y + source $(conda info --base)/etc/profile.d/conda.sh + conda activate skaff-rag-accelerator + echo "Installing requirements..." + pip install -r requirements.txt + python3 -m ipykernel install --user --name=skaff-rag-accelerator + conda install -c conda-forge --name skaff-rag-accelerator notebook -y + echo "Installing pre-commit..." + make install_precommit + echo "Installation complete!"; +else + echo "Installation of conda env aborted!"; +fi diff --git a/bin/install_with_venv.sh b/bin/install_with_venv.sh new file mode 100644 index 0000000..f610f2a --- /dev/null +++ b/bin/install_with_venv.sh @@ -0,0 +1,20 @@ +#!/bin/bash -e + +read -p "Want to install virtual env named 'venv' in this project ? (y/n)" answer +if [ "$answer" = "y" ]; then + echo "Installing virtual env..." + declare VENV_DIR=$(pwd)/venv + if ! [ -d "$VENV_DIR" ]; then + python3 -m venv $VENV_DIR + fi + + source $VENV_DIR/bin/activate + echo "Installing requirements..." + pip install -r requirements.txt + python3 -m ipykernel install --user --name=venv + echo "Installing pre-commit..." + make install_precommit + echo "Installation complete!"; +else + echo "Installation of virtual env aborted!"; +fi diff --git a/lib/backend.py b/lib/backend.py new file mode 100644 index 0000000..ed2b92b --- /dev/null +++ b/lib/backend.py @@ -0,0 +1,92 @@ +from typing import List + +import streamlit as st +from langchain.chat_models import AzureChatOpenAI +from langchain.document_loaders import ( + BaseLoader, + CSVLoader, + Docx2txtLoader, + PyPDFLoader, + UnstructuredExcelLoader, + UnstructuredPowerPointLoader, +) +from langchain.embeddings import OpenAIEmbeddings +from langchain.text_splitter import ( + CharacterTextSplitter, + RecursiveCharacterTextSplitter, +) +from langchain.vectorstores import Chroma + + +def get_llm( + temperature: float, model_version: str, live_streaming: bool = False +) -> AzureChatOpenAI: + """Returns an instance of AzureChatOpenAI based on the provided parameters.""" + if model_version == "4": + llm = AzureChatOpenAI( + deployment_name="gpt-4", + temperature=temperature, + openai_api_version="2023-07-01-preview", + streaming=live_streaming, + verbose=live_streaming, + ) + elif model_version == "3.5": + llm = AzureChatOpenAI( + deployment_name="gpt-35-turbo", + temperature=temperature, + openai_api_version="2023-03-15-preview", + streaming=live_streaming, + verbose=live_streaming, + ) + return llm + + +def get_embeddings_model(embedding_api_base: str, embedding_api_key: str) -> OpenAIEmbeddings: + """Returns an instance of OpenAIEmbeddings based on the provided parameters.""" + return OpenAIEmbeddings( + deployment="text-embedding-ada-002", + openai_api_type="azure", + openai_api_base=embedding_api_base, + openai_api_key=embedding_api_key, + chunk_size=16, + ) + + +def load_documents(file_extension: str, file_path: str) -> BaseLoader: + """Loads documents based on the file extension and path provided.""" + if file_extension == ".pdf": + loader = PyPDFLoader(file_path) + elif file_extension in [".csv"]: + loader = CSVLoader(file_path, encoding="utf-8-sig", csv_args={"delimiter": "\t"}) + elif file_extension in [".xlsx"]: + loader = UnstructuredExcelLoader(file_path, mode="elements") + elif file_extension in [".pptx"]: + loader = UnstructuredPowerPointLoader(file_path) + elif file_extension in [".docx"]: + loader = Docx2txtLoader(file_path) + else: + st.error("Unsupported file type!") + + return loader.load() + + +def get_chunks( + _documents: List[str], chunk_size: int, chunk_overlap: int, text_splitter_type: int +) -> List[str]: + """Splits the documents into chunks.""" + if text_splitter_type == "basic": + text_splitter = CharacterTextSplitter( + separator="\n\n", + chunk_size=chunk_size, + chunk_overlap=chunk_overlap, + ) + elif text_splitter_type == "recursive": + text_splitter = RecursiveCharacterTextSplitter( + separators=["\n\n", "\n", " "], chunk_size=chunk_size, chunk_overlap=chunk_overlap + ) + return text_splitter.split_documents(_documents) + + +def get_vector_store(_texts: List[str], _embeddings: OpenAIEmbeddings) -> Chroma: + """Returns an instance of Chroma based on the provided parameters.""" + return Chroma.from_documents(_texts, _embeddings) diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..05ceef8 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,87 @@ +[build-system] +requires = ["setuptools"] +build-backend = "setuptools.build_meta" + +[project] +name = "scraping-hello-bank" +authors = [ + { name = "sarah-lauzeral", email = "sarah.lauzeral@artefact.com" }, +] # TODO: Add more authors if collaborators are added +description = "scraping-hello-bank" +version = "0.0.1" +readme = "README.md" +requires-python = ">=3.8" + +[project.urls] +"Homepage" = "https://github.com/artefactory-fr/scraping-hello-bank" +"Documentation" = "https://artefactory-fr.github.io/scraping-hello-bank" + +[tool.setuptools] +packages = ["lib", "config", "tests"] + +[tool.ruff] +select = [ + "E", + "W", + "F", + "I", + "N", + "D", + "ANN", + "Q", + "RET", + "ARG", + "PTH", + "PD", +] # See: https://beta.ruff.rs/docs/rules/ +ignore = ["D100", "D203", "D213", "ANN101", "ANN102"] +line-length = 100 +target-version = "py310" +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "venv", +] + +[tool.ruff.pydocstyle] +convention = "google" + +# https://black.readthedocs.io/en/stable/usage_and_configuration/the_basics.html +[tool.black] +line-length = 100 +target-version = ["py310"] +include = '\.pyi?$' +exclude = ''' +( + /( + \.direnv + | \.eggs + | \.git + | \.tox + | \.venv + | _build + | build + | dist + | venv + )/ +) +''' + +[tool.isort] +profile = "black" + +[tool.bandit] +exclude_dirs = [".venv", "tests"] +skips = ["B101"] diff --git a/requirements.in b/requirements.in new file mode 100644 index 0000000..8e23fce --- /dev/null +++ b/requirements.in @@ -0,0 +1,30 @@ +pre-commit +black +isort +ruff +nbstripout +bandit +numpy +pandas +requests +bs4 +streamlit +google-cloud-storage +openai==0.28.1 +langchain==0.0.316 +chromadb==0.4.14 +tiktoken +gcsfs +s3fs +adlfs +universal_pathlib +langchainhub +gpt4all +pypdf +docx2txt +unstructured +python-pptx +networkx +openpyxl +python-multipart +httpx diff --git a/requirements.txt b/requirements.txt index ec94ae1..ed31094 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,10 +1,569 @@ -gcsfs -s3fs -adlfs -universal_pathlib -chromadb -langchain -langchainhub -gpt4all -python-multipart -httpx \ No newline at end of file +# +# This file is autogenerated by pip-compile with Python 3.10 +# by the following command: +# +# pip-compile requirements.in +# +adlfs==2023.10.0 + # via -r requirements.in +aiobotocore==2.8.0 + # via s3fs +aiohttp==3.9.1 + # via + # adlfs + # aiobotocore + # black + # gcsfs + # langchain + # openai + # s3fs +aioitertools==0.11.0 + # via aiobotocore +aiosignal==1.3.1 + # via aiohttp +altair==5.2.0 + # via streamlit +annotated-types==0.6.0 + # via pydantic +anyio==3.7.1 + # via + # fastapi + # httpx + # langchain + # starlette + # watchfiles +async-timeout==4.0.3 + # via + # aiohttp + # langchain +attrs==23.1.0 + # via + # aiohttp + # jsonschema + # referencing +azure-core==1.29.5 + # via + # adlfs + # azure-identity + # azure-storage-blob +azure-datalake-store==0.0.53 + # via adlfs +azure-identity==1.15.0 + # via adlfs +azure-storage-blob==12.19.0 + # via adlfs +backoff==2.2.1 + # via + # posthog + # unstructured +bandit==1.7.6 + # via -r requirements.in +bcrypt==4.1.1 + # via chromadb +beautifulsoup4==4.12.2 + # via + # bs4 + # unstructured +black==23.12.0 + # via -r requirements.in +blinker==1.7.0 + # via streamlit +botocore==1.33.1 + # via aiobotocore +bs4==0.0.1 + # via -r requirements.in +cachetools==5.3.2 + # via + # google-auth + # streamlit +certifi==2023.11.17 + # via + # httpcore + # httpx + # pulsar-client + # requests +cffi==1.16.0 + # via + # azure-datalake-store + # cryptography +cfgv==3.4.0 + # via pre-commit +chardet==5.2.0 + # via unstructured +charset-normalizer==3.3.2 + # via requests +chroma-hnswlib==0.7.3 + # via chromadb +chromadb==0.4.14 + # via -r requirements.in +click==8.1.7 + # via + # black + # nltk + # streamlit + # typer + # uvicorn +coloredlogs==15.0.1 + # via onnxruntime +cryptography==41.0.7 + # via + # azure-identity + # azure-storage-blob + # msal + # pyjwt +dataclasses-json==0.6.3 + # via + # langchain + # unstructured +decorator==5.1.1 + # via gcsfs +distlib==0.3.8 + # via virtualenv +docx2txt==0.8 + # via -r requirements.in +emoji==2.9.0 + # via unstructured +et-xmlfile==1.1.0 + # via openpyxl +exceptiongroup==1.2.0 + # via anyio +fastapi==0.105.0 + # via chromadb +fastjsonschema==2.19.0 + # via nbformat +filelock==3.13.1 + # via + # huggingface-hub + # virtualenv +filetype==1.2.0 + # via unstructured +flatbuffers==23.5.26 + # via onnxruntime +frozenlist==1.4.0 + # via + # aiohttp + # aiosignal +fsspec==2023.12.1 + # via + # adlfs + # gcsfs + # huggingface-hub + # s3fs + # universal-pathlib +gcsfs==2023.12.1 + # via -r requirements.in +gitdb==4.0.11 + # via gitpython +gitpython==3.1.40 + # via + # bandit + # streamlit +google-api-core==2.15.0 + # via + # google-cloud-core + # google-cloud-storage +google-auth==2.25.2 + # via + # gcsfs + # google-api-core + # google-auth-oauthlib + # google-cloud-core + # google-cloud-storage +google-auth-oauthlib==1.1.0 + # via gcsfs +google-cloud-core==2.4.1 + # via google-cloud-storage +google-cloud-storage==2.13.0 + # via + # -r requirements.in + # gcsfs +google-crc32c==1.5.0 + # via + # google-cloud-storage + # google-resumable-media +google-resumable-media==2.6.0 + # via google-cloud-storage +googleapis-common-protos==1.62.0 + # via google-api-core +gpt4all==2.0.2 + # via -r requirements.in +grpcio==1.60.0 + # via chromadb +h11==0.14.0 + # via + # httpcore + # uvicorn +httpcore==1.0.2 + # via httpx +httptools==0.6.1 + # via uvicorn +httpx==0.25.2 + # via -r requirements.in +huggingface-hub==0.19.4 + # via tokenizers +humanfriendly==10.0 + # via coloredlogs +identify==2.5.33 + # via pre-commit +idna==3.6 + # via + # anyio + # httpx + # requests + # yarl +importlib-metadata==6.11.0 + # via streamlit +importlib-resources==6.1.1 + # via chromadb +isodate==0.6.1 + # via azure-storage-blob +isort==5.13.1 + # via -r requirements.in +jinja2==3.1.2 + # via + # altair + # pydeck +jmespath==1.0.1 + # via botocore +joblib==1.3.2 + # via nltk +jsonpatch==1.33 + # via langchain +jsonpointer==2.4 + # via jsonpatch +jsonschema==4.20.0 + # via + # altair + # nbformat +jsonschema-specifications==2023.11.2 + # via jsonschema +jupyter-core==5.5.0 + # via nbformat +langchain==0.0.316 + # via -r requirements.in +langchainhub==0.1.14 + # via -r requirements.in +langdetect==1.0.9 + # via unstructured +langsmith==0.0.69 + # via langchain +lxml==4.9.3 + # via + # python-pptx + # unstructured +markdown-it-py==3.0.0 + # via rich +markupsafe==2.1.3 + # via jinja2 +marshmallow==3.20.1 + # via dataclasses-json +mdurl==0.1.2 + # via markdown-it-py +monotonic==1.6 + # via posthog +mpmath==1.3.0 + # via sympy +msal==1.26.0 + # via + # azure-datalake-store + # azure-identity + # msal-extensions +msal-extensions==1.1.0 + # via azure-identity +multidict==6.0.4 + # via + # aiohttp + # yarl +mypy-extensions==1.0.0 + # via + # black + # typing-inspect +nbformat==5.9.2 + # via nbstripout +nbstripout==0.6.1 + # via -r requirements.in +networkx==3.2.1 + # via -r requirements.in +nltk==3.8.1 + # via unstructured +nodeenv==1.8.0 + # via pre-commit +numpy==1.26.2 + # via + # -r requirements.in + # altair + # chroma-hnswlib + # chromadb + # langchain + # onnxruntime + # pandas + # pyarrow + # pydeck + # streamlit + # unstructured +oauthlib==3.2.2 + # via requests-oauthlib +onnxruntime==1.16.3 + # via chromadb +openai==0.28.1 + # via -r requirements.in +openpyxl==3.1.2 + # via -r requirements.in +overrides==7.4.0 + # via chromadb +packaging==23.2 + # via + # altair + # black + # huggingface-hub + # marshmallow + # msal-extensions + # onnxruntime + # streamlit +pandas==2.1.4 + # via + # -r requirements.in + # altair + # streamlit +pathspec==0.12.1 + # via black +pbr==6.0.0 + # via stevedore +pillow==10.1.0 + # via + # python-pptx + # streamlit +platformdirs==4.1.0 + # via + # black + # jupyter-core + # virtualenv +portalocker==2.8.2 + # via msal-extensions +posthog==3.1.0 + # via chromadb +pre-commit==3.6.0 + # via -r requirements.in +protobuf==4.25.1 + # via + # google-api-core + # googleapis-common-protos + # onnxruntime + # streamlit +pulsar-client==3.3.0 + # via chromadb +pyarrow==14.0.1 + # via streamlit +pyasn1==0.5.1 + # via + # pyasn1-modules + # rsa +pyasn1-modules==0.3.0 + # via google-auth +pycparser==2.21 + # via cffi +pydantic==2.5.2 + # via + # chromadb + # fastapi + # langchain + # langsmith +pydantic-core==2.14.5 + # via pydantic +pydeck==0.8.1b0 + # via streamlit +pygments==2.17.2 + # via rich +pyjwt[crypto]==2.8.0 + # via msal +pypdf==3.17.2 + # via -r requirements.in +pypika==0.48.9 + # via chromadb +python-dateutil==2.8.2 + # via + # botocore + # pandas + # posthog + # streamlit +python-dotenv==1.0.0 + # via uvicorn +python-iso639==2023.12.11 + # via unstructured +python-magic==0.4.27 + # via unstructured +python-multipart==0.0.6 + # via -r requirements.in +python-pptx==0.6.23 + # via -r requirements.in +pytz==2023.3.post1 + # via pandas +pyyaml==6.0.1 + # via + # bandit + # huggingface-hub + # langchain + # pre-commit + # uvicorn +rapidfuzz==3.5.2 + # via unstructured +referencing==0.32.0 + # via + # jsonschema + # jsonschema-specifications +regex==2023.10.3 + # via + # nltk + # tiktoken +requests==2.31.0 + # via + # -r requirements.in + # azure-core + # azure-datalake-store + # chromadb + # gcsfs + # google-api-core + # google-cloud-storage + # gpt4all + # huggingface-hub + # langchain + # langchainhub + # langsmith + # msal + # openai + # posthog + # requests-oauthlib + # streamlit + # tiktoken + # unstructured +requests-oauthlib==1.3.1 + # via google-auth-oauthlib +rich==13.7.0 + # via + # bandit + # streamlit +rpds-py==0.13.2 + # via + # jsonschema + # referencing +rsa==4.9 + # via google-auth +ruff==0.1.7 + # via -r requirements.in +s3fs==2023.12.1 + # via -r requirements.in +six==1.16.0 + # via + # azure-core + # isodate + # langdetect + # posthog + # python-dateutil +smmap==5.0.1 + # via gitdb +sniffio==1.3.0 + # via + # anyio + # httpx +soupsieve==2.5 + # via beautifulsoup4 +sqlalchemy==2.0.23 + # via langchain +starlette==0.27.0 + # via fastapi +stevedore==5.1.0 + # via bandit +streamlit==1.29.0 + # via -r requirements.in +sympy==1.12 + # via onnxruntime +tabulate==0.9.0 + # via unstructured +tenacity==8.2.3 + # via + # langchain + # streamlit +tiktoken==0.5.2 + # via -r requirements.in +tokenizers==0.15.0 + # via chromadb +toml==0.10.2 + # via streamlit +tomli==2.0.1 + # via black +toolz==0.12.0 + # via altair +tornado==6.4 + # via streamlit +tqdm==4.66.1 + # via + # chromadb + # gpt4all + # huggingface-hub + # nltk + # openai +traitlets==5.14.0 + # via + # jupyter-core + # nbformat +typer==0.9.0 + # via chromadb +types-requests==2.31.0.10 + # via langchainhub +typing-extensions==4.9.0 + # via + # altair + # azure-core + # azure-storage-blob + # black + # chromadb + # fastapi + # huggingface-hub + # pydantic + # pydantic-core + # sqlalchemy + # streamlit + # typer + # typing-inspect + # unstructured + # uvicorn +typing-inspect==0.9.0 + # via dataclasses-json +tzdata==2023.3 + # via pandas +tzlocal==5.2 + # via streamlit +universal-pathlib==0.1.4 + # via -r requirements.in +unstructured==0.11.2 + # via -r requirements.in +urllib3==2.0.7 + # via + # botocore + # requests + # types-requests +uvicorn[standard]==0.24.0.post1 + # via chromadb +uvloop==0.19.0 + # via uvicorn +validators==0.22.0 + # via streamlit +virtualenv==20.25.0 + # via pre-commit +watchfiles==0.21.0 + # via uvicorn +websockets==12.0 + # via uvicorn +wrapt==1.16.0 + # via + # aiobotocore + # unstructured +xlsxwriter==3.1.9 + # via python-pptx +yarl==1.9.4 + # via aiohttp +zipp==3.17.0 + # via importlib-metadata + +# The following packages are considered to be unsafe in a requirements file: +# setuptools diff --git a/test_sla.ipynb b/test_sla.ipynb new file mode 100644 index 0000000..6553ba5 --- /dev/null +++ b/test_sla.ipynb @@ -0,0 +1,141 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "\n", + "current_directory = os.getcwd()\n", + "data_folder_path = f\"{current_directory}/data\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import lib.backend as utils\n", + "from dotenv import load_dotenv\n", + "\n", + "load_dotenv()\n", + "embedding_api_base = os.getenv(\"EMBEDDING_OPENAI_API_BASE\")\n", + "embedding_api_key = os.getenv(\"EMBEDDING_API_KEY\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from typing import List\n", + "\n", + "def collect_files_with_extension(folder_path: str, extension: str) -> List[str]:\n", + " \"\"\"Collects and returns a list of file names with a given extension within the specified folder.\"\"\"\n", + " files_with_extension = []\n", + "\n", + " if not extension.startswith('.'):\n", + " extension = '.' + extension\n", + "\n", + " for file_name in os.listdir(folder_path):\n", + " if file_name.endswith(extension):\n", + " files_with_extension.append(file_name)\n", + "\n", + " return files_with_extension[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "file_extension = \".pdf\"\n", + "file_name = collect_files_with_extension(data_folder_path, file_extension)\n", + "file_path = f\"{data_folder_path}/{file_name}\"\n", + "file_path" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "documents = utils.load_documents(file_extension, file_path)\n", + "texts = utils.get_chunks(documents, chunk_size=1500, chunk_overlap=200, text_splitter_type=\"recursive\")\n", + "print(len(texts))\n", + "texts[1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "llm = utils.get_llm(temperature=0.1, model_version=\"4\", live_streaming=True)\n", + "embeddings = utils.get_embeddings_model(embedding_api_base, embedding_api_key)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def choose_momery_type(memory_type):\n", + " if memory_type == \"\":\n", + " memory = " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "documents = utils.load_documents(source=\"site\")\n", + "texts = utils.get_chunks(documents, chunk_size=1500, chunk_overlap=200)\n", + "docsearch = utils.get_vector_store(texts, embeddings)\n", + "answer_chain = utils.get_answer_chain(llm, docsearch, memory)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "skaff-rag-accelerator", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From ceccf5e5a3ab532b28324d309fa8e71b0c41c4a2 Mon Sep 17 00:00:00 2001 From: Sarah LAUZERAL Date: Sun, 17 Dec 2023 17:06:36 +0100 Subject: [PATCH 5/8] fix CI --- README.md | 2 +- authentication.py | 35 +++++++---- database/database.py | 34 +++++++---- document_store.py | 41 +++++++------ main.py | 101 ++++++++++++++++++++++---------- model.py | 13 +++- pyproject.toml | 2 +- requirements.in | 2 + requirements.txt | 25 +++++++- sandbox_alexis/main.py | 53 +++++++++++++---- sandbox_alexis/text_splitter.py | 11 ++-- sandbox_alexis/vector_store.py | 3 +- tests/test_feedback.py | 39 ++++++------ tests/test_users.py | 50 +++++++++++----- user_management.py | 41 +++++++++---- 15 files changed, 306 insertions(+), 146 deletions(-) diff --git a/README.md b/README.md index 1b43b74..9d6e60f 100644 --- a/README.md +++ b/README.md @@ -2,4 +2,4 @@ # skaff-rag-accelerator - \ No newline at end of file + diff --git a/authentication.py b/authentication.py index 92e477f..0db1baa 100644 --- a/authentication.py +++ b/authentication.py @@ -1,41 +1,54 @@ -from datetime import timedelta, datetime import os -from pydantic import BaseModel -from jose import jwt +from datetime import datetime, timedelta +from typing import Optional +from jose import jwt +from pydantic import BaseModel from database.database import Database SECRET_KEY = os.environ.get("SECRET_KEY", "default_unsecure_key") ALGORITHM = "HS256" + class User(BaseModel): + """Represents a user with an email and password.""" + email: str = None password: str = None -def create_user(user: User): + +def create_user(user: User) -> None: + """Create a new user in the database.""" with Database() as connection: - connection.query("INSERT INTO user (email, password) VALUES (?, ?)", (user.email, user.password)) - -def get_user(email: str): + connection.query( + "INSERT INTO user (email, password) VALUES (?, ?)", (user.email, user.password) + ) + + +def get_user(email: str) -> User: + """Retrieve a user from the database by email.""" with Database() as connection: user_row = connection.query("SELECT * FROM user WHERE email = ?", (email,))[0] for row in user_row: return User(**row) raise Exception("User not found") -def authenticate_user(username: str, password: str): + +def authenticate_user(username: str, password: str) -> Optional[User]: + """Authenticate a user by their username and password.""" user = get_user(username) if not user or not password == user.password: return False return user -def create_access_token(*, data: dict, expires_delta: timedelta = None): + +def create_access_token(*, data: dict, expires_delta: Optional[timedelta] = None) -> str: + """Create a JWT access token with optional expiry.""" to_encode = data.copy() if expires_delta: expire = datetime.utcnow() + expires_delta else: expire = datetime.utcnow() + timedelta(minutes=15) to_encode.update({"exp": expire}) - encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM) - return encoded_jwt + return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM) diff --git a/database/database.py b/database/database.py index bab151a..dd77032 100644 --- a/database/database.py +++ b/database/database.py @@ -1,25 +1,34 @@ import os -from pathlib import Path import sqlite3 -from typing import List +from pathlib import Path +from typing import List, Optional, Tuple + class Database: + """A simple wrapper class for SQLite database operations.""" + def __init__(self): - db_name = "test.sqlite" if os.getenv("TESTING", "false").lower() == "true" else "database.sqlite" + """Initialize the Database object by setting the database path based on the environment.""" + db_name = ( + "test.sqlite" if os.getenv("TESTING", "false").lower() == "true" else "database.sqlite" + ) self.db_path = Path(__file__).parent / db_name - def __enter__(self): + def __enter__(self) -> "Database": + """Enter the runtime context related to the database connection.""" self.conn = sqlite3.connect(self.db_path) self.conn.row_factory = sqlite3.Row return self - def __exit__(self, exc_type, exc_val, exc_tb): + def __exit__(self, exc_type: Optional[type]) -> None: + """Exit the runtime context and close the database connection properly.""" if exc_type is not None: self.conn.rollback() self.conn.commit() self.conn.close() - def query(self, query, params=None) -> List[List[sqlite3.Row]]: + def query(self, query: str, params: Optional[Tuple] = None) -> List[List[sqlite3.Row]]: + """Execute a query against the database.""" cursor = self.conn.cursor() results = [] commands = filter(None, query.split(";")) @@ -27,17 +36,20 @@ def query(self, query, params=None) -> List[List[sqlite3.Row]]: cursor.execute(command, params or ()) results.append(cursor.fetchall()) return results - - def query_from_file(self, file_path): - with open(file_path, 'r') as file: + + def query_from_file(self, file_path: Path) -> None: + """Execute a query from a SQL file.""" + with Path.open(file_path, "r") as file: query = file.read() self.query(query) - def delete_db(self): + def delete_db(self) -> None: + """Delete the database file from the filesystem.""" if self.conn: self.conn.close() if self.db_path.exists(): self.db_path.unlink(missing_ok=True) + with Database() as connection: - connection.query_from_file(Path(__file__).parent / "database_init.sql") \ No newline at end of file + connection.query_from_file(Path(__file__).parent / "database_init.sql") diff --git a/document_store.py b/document_store.py index 035bda1..106ec8e 100644 --- a/document_store.py +++ b/document_store.py @@ -1,12 +1,16 @@ -from langchain.docstore.document import Document from enum import Enum -from typing_extensions import List -from langchain.vectorstores import Chroma +from pathlib import Path +from typing import List + import chromadb +from langchain.docstore.document import Document from langchain.embeddings import OpenAIEmbeddings +from langchain.vectorstores import Chroma class StorageBackend(Enum): + """Enumeration of supported storage backends.""" + LOCAL = "local" MEMORY = "memory" GCS = "gcs" @@ -14,20 +18,27 @@ class StorageBackend(Enum): AZURE = "az" -def get_storage_root_path(bucket_name, storage_backend: StorageBackend): - root_path = Path(f"{storage_backend.value}://{bucket_name}") - return root_path +def get_storage_root_path(bucket_name: str, storage_backend: StorageBackend) -> Path: + """Constructs the root path for the storage based on the bucket name and storage backend.""" + return Path(f"{storage_backend.value}://{bucket_name}") -def persist_to_bucket(bucket_path: str, store: Chroma): - store.persist('./db/chroma') - #TODO: Uplaod persisted file on disk to gcs +def persist_to_bucket(bucket_path: str, store: Chroma) -> None: + """Persists the data in the given Chroma store to a bucket.""" + store.persist("./db/chroma") + # TODO: Uplaod persisted file on disk to bucket_path gcs -def store_documents(docs: List[Document], bucket_path: str, storage_backend: StorageBackend): + +def store_documents( + docs: List[Document], bucket_path: str, storage_backend: StorageBackend +) -> None: + """Stores a list of documents in a specified bucket using a given storage backend.""" langchain_documents = [doc.to_langchain_document() for doc in docs] embeddings_model = OpenAIEmbeddings() persistent_client = chromadb.PersistentClient() - collection = persistent_client.get_or_create_collection(get_storage_root_path(bucket_path, storage_backend)) + collection = persistent_client.get_or_create_collection( + get_storage_root_path(bucket_path, storage_backend) + ) collection.add(documents=langchain_documents) langchain_chroma = Chroma( client=persistent_client, @@ -35,11 +46,3 @@ def store_documents(docs: List[Document], bucket_path: str, storage_backend: Sto embedding_function=embeddings_model.embed_documents, ) print("There are", langchain_chroma._collection.count(), "in the collection") - - - - - - - - diff --git a/main.py b/main.py index cbc829d..aa7c340 100644 --- a/main.py +++ b/main.py @@ -2,17 +2,24 @@ from typing import List from uuid import uuid4 -from fastapi import FastAPI, Depends, HTTPException, status +from fastapi import Depends, FastAPI, HTTPException, status from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm -from jose import jwt, JWTError -from database.database import Database +from jose import JWTError, jwt import document_store -from user_management import (authenticate_user, create_access_token, create_user, - get_user, User, SECRET_KEY, ALGORITHM, user_exists) +from database.database import Database from document_store import StorageBackend from model import Doc - +from user_management import ( + ALGORITHM, + SECRET_KEY, + User, + authenticate_user, + create_access_token, + create_user, + get_user, + user_exists, +) app = FastAPI() @@ -22,7 +29,10 @@ ############################################ oauth2_scheme = OAuth2PasswordBearer(tokenUrl="login") + + async def get_current_user(token: str = Depends(oauth2_scheme)) -> User: + """Get the current user by decoding the JWT token.""" credentials_exception = HTTPException( status_code=status.HTTP_401_UNAUTHORIZED, detail="Could not validate credentials", @@ -41,39 +51,40 @@ async def get_current_user(token: str = Depends(oauth2_scheme)) -> User: except JWTError: raise credentials_exception + @app.post("/user/signup") -async def signup(user: User): +async def signup(user: User) -> dict: + """Sign up a new user.""" if user_exists(user.email): raise HTTPException( - status_code=status.HTTP_400_BAD_REQUEST, - detail=f"User {user.email} already registered" + status_code=status.HTTP_400_BAD_REQUEST, detail=f"User {user.email} already registered" ) - + create_user(user) return {"email": user.email} @app.delete("/user/") -async def delete_user(current_user: User = Depends(get_current_user)): +async def delete_user(current_user: User = Depends(get_current_user)) -> dict: + """Delete an existing user.""" email = current_user.email try: user = get_user(email) if user is None: raise HTTPException( - status_code=status.HTTP_404_NOT_FOUND, - detail=f"User {email} not found" + status_code=status.HTTP_404_NOT_FOUND, detail=f"User {email} not found" ) delete_user(email) return {"detail": f"User {email} deleted"} - except Exception as e: + except Exception: raise HTTPException( - status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, - detail="Internal Server Error" + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="Internal Server Error" ) @app.post("/user/login") -async def login(form_data: OAuth2PasswordRequestForm = Depends()): +async def login(form_data: OAuth2PasswordRequestForm = Depends()) -> dict: + """Log in a user and return an access token.""" user = authenticate_user(form_data.username, form_data.password) if not user: raise HTTPException( @@ -82,13 +93,13 @@ async def login(form_data: OAuth2PasswordRequestForm = Depends()): headers={"WWW-Authenticate": "Bearer"}, ) access_token_expires = timedelta(minutes=60) - access_token = create_access_token( - data=user.model_dump(), expires_delta=access_token_expires - ) + access_token = create_access_token(data=user.model_dump(), expires_delta=access_token_expires) return {"access_token": access_token, "token_type": "bearer"} + @app.get("/user/me") -async def user_me(current_user: User = Depends(get_current_user)): +async def user_me(current_user: User = Depends(get_current_user)) -> User: + """Get the current user's profile.""" return current_user @@ -97,24 +108,33 @@ async def user_me(current_user: User = Depends(get_current_user)): ############################################ # P1 @app.post("/chat/new") -async def chat_new(current_user: User = Depends(get_current_user)): +async def chat_new(current_user: User = Depends(get_current_user)) -> dict: + """Create a new chat session for the current user.""" pass + # P1 @app.post("/chat/user_message") -async def chat_prompt(current_user: User = Depends(get_current_user)): +async def chat_prompt(current_user: User = Depends(get_current_user)) -> dict: + """Send a message in a chat session.""" pass + @app.post("/chat/regenerate") -async def chat_regenerate(current_user: User = Depends(get_current_user)): +async def chat_regenerate(current_user: User = Depends(get_current_user)) -> dict: + """Regenerate a chat session for the current user.""" pass + @app.get("/chat/list") -async def chat_list(current_user: User = Depends(get_current_user)): +async def chat_list(current_user: User = Depends(get_current_user)) -> List[dict]: + """Get a list of chat sessions for the current user.""" pass + @app.get("/chat/{chat_id}") -async def chat(chat_id: str, current_user: User = Depends(get_current_user)): +async def chat(chat_id: str, current_user: User = Depends(get_current_user)) -> dict: + """Get details of a specific chat session.""" pass @@ -122,26 +142,43 @@ async def chat(chat_id: str, current_user: User = Depends(get_current_user)): ### Feedback ### ############################################ + @app.post("/feedback/{message_id}/thumbs_up") -async def feedback_thumbs_up(message_id, current_user: User = Depends(get_current_user)): +async def feedback_thumbs_up( + message_id: str, current_user: User = Depends(get_current_user) +) -> None: + """Record a 'thumbs up' feedback for a message.""" with Database() as connection: - connection.query("INSERT INTO feedback (id, message_id, feedback) VALUES (?, ?, ?)", (str(uuid4()), message_id, "thumbs_up")) + connection.query( + "INSERT INTO feedback (id, message_id, feedback) VALUES (?, ?, ?)", + (str(uuid4()), message_id, "thumbs_up"), + ) + @app.post("/feedback/{message_id}/thumbs_down") -async def feedback_thumbs_down(message_id, current_user: User = Depends(get_current_user)): +async def feedback_thumbs_down( + message_id: str, current_user: User = Depends(get_current_user) +) -> None: + """Record a 'thumbs down' feedback for a message.""" with Database() as connection: - connection.query("INSERT INTO feedback (id, message_id, feedback) VALUES (?, ?, ?)", (str(uuid4()), message_id, "thumbs_down")) + connection.query( + "INSERT INTO feedback (id, message_id, feedback) VALUES (?, ?, ?)", + (str(uuid4()), message_id, "thumbs_down"), + ) ############################################ ### Other ### ############################################ + @app.post("/index/documents") -async def index_documents(chunks: List[Doc], bucket: str, storage_backend: StorageBackend): +async def index_documents(chunks: List[Doc], bucket: str, storage_backend: StorageBackend) -> None: + """Index documents in a specified storage backend.""" document_store.store_documents(chunks, bucket, storage_backend) if __name__ == "__main__": import uvicorn - uvicorn.run(app, host="0.0.0.0", port=8000) \ No newline at end of file + + uvicorn.run(app, host="0.0.0.0", port=8000) diff --git a/model.py b/model.py index dadba97..f71a791 100644 --- a/model.py +++ b/model.py @@ -1,14 +1,21 @@ -from pydantic import BaseModel from langchain.docstore.document import Document +from pydantic import BaseModel + class ChatMessage(BaseModel): + """Represents a chat message within a session.""" + message: str message_id: str session_id: str + class Doc(BaseModel): + """Represents a document with content and associated metadata.""" + content: str metadata: dict - def to_langchain_document(): - return Document(page_content=self.content, metadata=self.metadata) \ No newline at end of file + def to_langchain_document(self) -> Document: + """Converts the current Doc instance into a langchain Document.""" + return Document(page_content=self.content, metadata=self.metadata) diff --git a/pyproject.toml b/pyproject.toml index 05ceef8..72b3027 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -84,4 +84,4 @@ profile = "black" [tool.bandit] exclude_dirs = [".venv", "tests"] -skips = ["B101"] +skips = ["B101", "B104"] diff --git a/requirements.in b/requirements.in index 8e23fce..9374b81 100644 --- a/requirements.in +++ b/requirements.in @@ -28,3 +28,5 @@ networkx openpyxl python-multipart httpx +pytest +python-jose diff --git a/requirements.txt b/requirements.txt index ed31094..30157d2 100644 --- a/requirements.txt +++ b/requirements.txt @@ -121,12 +121,16 @@ distlib==0.3.8 # via virtualenv docx2txt==0.8 # via -r requirements.in +ecdsa==0.18.0 + # via python-jose emoji==2.9.0 # via unstructured et-xmlfile==1.1.0 # via openpyxl exceptiongroup==1.2.0 - # via anyio + # via + # anyio + # pytest fastapi==0.105.0 # via chromadb fastjsonschema==2.19.0 @@ -215,6 +219,8 @@ importlib-metadata==6.11.0 # via streamlit importlib-resources==6.1.1 # via chromadb +iniconfig==2.0.0 + # via pytest isodate==0.6.1 # via azure-storage-blob isort==5.13.1 @@ -319,6 +325,7 @@ packaging==23.2 # marshmallow # msal-extensions # onnxruntime + # pytest # streamlit pandas==2.1.4 # via @@ -338,6 +345,8 @@ platformdirs==4.1.0 # black # jupyter-core # virtualenv +pluggy==1.3.0 + # via pytest portalocker==2.8.2 # via msal-extensions posthog==3.1.0 @@ -357,6 +366,7 @@ pyarrow==14.0.1 pyasn1==0.5.1 # via # pyasn1-modules + # python-jose # rsa pyasn1-modules==0.3.0 # via google-auth @@ -380,6 +390,8 @@ pypdf==3.17.2 # via -r requirements.in pypika==0.48.9 # via chromadb +pytest==7.4.3 + # via -r requirements.in python-dateutil==2.8.2 # via # botocore @@ -390,6 +402,8 @@ python-dotenv==1.0.0 # via uvicorn python-iso639==2023.12.11 # via unstructured +python-jose==3.3.0 + # via -r requirements.in python-magic==0.4.27 # via unstructured python-multipart==0.0.6 @@ -447,7 +461,9 @@ rpds-py==0.13.2 # jsonschema # referencing rsa==4.9 - # via google-auth + # via + # google-auth + # python-jose ruff==0.1.7 # via -r requirements.in s3fs==2023.12.1 @@ -455,6 +471,7 @@ s3fs==2023.12.1 six==1.16.0 # via # azure-core + # ecdsa # isodate # langdetect # posthog @@ -490,7 +507,9 @@ tokenizers==0.15.0 toml==0.10.2 # via streamlit tomli==2.0.1 - # via black + # via + # black + # pytest toolz==0.12.0 # via altair tornado==6.4 diff --git a/sandbox_alexis/main.py b/sandbox_alexis/main.py index 2fd2166..83552e3 100644 --- a/sandbox_alexis/main.py +++ b/sandbox_alexis/main.py @@ -1,18 +1,49 @@ -from langchain.vectorstores.chroma import Chroma -from storage_backend import get_storage_root_path, StorageBackend from langchain.embeddings import GPT4AllEmbeddings - +from langchain.vectorstores.chroma import Chroma +from storage_backend import StorageBackend, get_storage_root_path from text_splitter import load_and_split_document -data = """One of the most important things I didn't understand about the world when I was a child is the degree to which the returns for performance are superlinear. - -Teachers and coaches implicitly told us the returns were linear. "You get out," I heard a thousand times, "what you put in." They meant well, but this is rarely true. If your product is only half as good as your competitor's, you don't get half as many customers. You get no customers, and you go out of business.It's obviously true that the returns for performance are superlinear in business. Some think this is a flaw of capitalism, and that if we changed the rules it would stop being true. But superlinear returns for performance are a feature of the world, not an artifact of rules we've invented. We see the same pattern in fame, power, military victories, knowledge, and even benefit to humanity. In all of these, the rich get richer. [1]You can't understand the world without understanding the concept of superlinear returns. And if you're ambitious you definitely should, because this will be the wave you surf on. - -It may seem as if there are a lot of different situations with superlinear returns, but as far as I can tell they reduce to two fundamental causes: exponential growth and thresholds.The most obvious case of superlinear returns is when you're working on something that grows exponentially. For example, growing bacterial cultures. When they grow at all, they grow exponentially. But they're tricky to grow. Which means the difference in outcome between someone who's adept at it and someone who's not is very great.Startups can also grow exponentially, and we see the same pattern there. Some manage to achieve high growth rates. Most don't. And as a result you get qualitatively different outcomes: the companies with high growth rates tend to become immensely valuable, while the ones with lower growth rates may not even survive.Y Combinator encourages founders to focus on growth rate rather than absolute numbers. It prevents them from being discouraged early on, when the absolute numbers are still low. It also helps them decide what to focus on: you can use growth rate as a compass to tell you how to evolve the company. But the main advantage is that by focusing on growth rate you tend to get something that grows exponentially.YC doesn't explicitly tell founders that with growth rate "you get out what you put in," but it's not far from the truth. And if growth rate were proportional to performance, then the reward for performance p over time t would be proportional to pt. +data = """One of the most important things I didn't understand about the world when I was a child \ +is the degree to which the returns for performance are superlinear. +Teachers and coaches implicitly told us the returns were linear. +"You get out," I heard a thousand times, "what you put in." +They meant well, but this is rarely true. +If your product is only half as good as your competitor's, you don't get half as many customers. +You get no customers, and you go out of business. +It's obviously true that the returns for performance are superlinear in business. +Some think this is a flaw of capitalism, and that if we changed the rules it would stop being true. +But superlinear returns for performance are a feature of the world, \ +not an artifact of rules we've invented. We see the same pattern in fame, power, \ +military victories, knowledge, and even benefit to humanity. In all of these, the rich get richer. +[1]You can't understand the world without understanding the concept of superlinear returns. +And if you're ambitious you definitely should, because this will be the wave you surf on. -Even after decades of thinking about this, I find that sentence startling.""" +It may seem as if there are a lot of different situations with superlinear returns, \ +but as far as I can tell they reduce to two fundamental causes: exponential growth and thresholds. +The most obvious case of superlinear returns is when you're working on something \ +that grows exponentially. For example, growing bacterial cultures. +When they grow at all, they grow exponentially. But they're tricky to grow. +Which means the difference in outcome between someone who's adept at it \ +and someone who's not is very great. Startups can also grow exponentially, \ +and we see the same pattern there. Some manage to achieve high growth rates. Most don't. +And as a result you get qualitatively different outcomes: \ +the companies with high growth rates tend to become immensely valuable, \ +while the ones with lower growth rates may not even survive. +Y Combinator encourages founders to focus on growth rate rather than absolute numbers. +It prevents them from being discouraged early on, when the absolute numbers are still low. +It also helps them decide what to focus on: \ +you can use growth rate as a compass to tell you how to evolve the company. \ +But the main advantage is that by focusing on growth rate \ +you tend to get something that grows exponentially. +YC doesn't explicitly tell founders that with growth rate "you get out what you put in," \ +but it's not far from the truth. And if growth rate were proportional to performance, \ +then the reward for performance p over time t would be proportional to pt. +Even after decades of thinking about this, I find that sentence startling. +""" split_documents = load_and_split_document(text=data) root_path = get_storage_root_path("dbt-server-alexis3-36fe-rag", StorageBackend.GCS) -vector_store = Chroma(persist_directory=root_path / "chromadb", embedding_function=GPT4AllEmbeddings()) -db = vector_store.add_documents(split_documents) \ No newline at end of file +vector_store = Chroma( + persist_directory=root_path / "chromadb", embedding_function=GPT4AllEmbeddings() +) +db = vector_store.add_documents(split_documents) diff --git a/sandbox_alexis/text_splitter.py b/sandbox_alexis/text_splitter.py index 937edc5..919ae2d 100644 --- a/sandbox_alexis/text_splitter.py +++ b/sandbox_alexis/text_splitter.py @@ -1,8 +1,8 @@ -from typing import Optional +from typing import List, Optional -from langchain.text_splitter import RecursiveCharacterTextSplitter from langchain.document_loaders import TextLoader from langchain.schema.document import Document +from langchain.text_splitter import RecursiveCharacterTextSplitter def load_and_split_document( @@ -10,7 +10,8 @@ def load_and_split_document( text: Optional[str] = None, chunk_size: Optional[int] = 5000, chunk_overlap: Optional[int] = 50, -) -> list[Document]: +) -> List[Document]: + """Loads a document from a file or text and splits it into chunks.""" if file_path and text: raise ValueError("Only one of `file_path` or `text` should be provided.") @@ -21,9 +22,7 @@ def load_and_split_document( if file_path: loader = TextLoader(file_path=file_path) doc = loader.load() - if text: doc = [Document(page_content=text)] - chunks = text_splitter.split_documents(doc) - return chunks \ No newline at end of file + return text_splitter.split_documents(doc) diff --git a/sandbox_alexis/vector_store.py b/sandbox_alexis/vector_store.py index d6e0858..2954171 100644 --- a/sandbox_alexis/vector_store.py +++ b/sandbox_alexis/vector_store.py @@ -1,7 +1,6 @@ import chromadb from storage_backend import StorageBackend, get_storage_root_path - root_path = get_storage_root_path("sample_bucket", StorageBackend.GCS) client = chromadb.PersistentClient(root_path / "chromadb") -collection = client.get_or_create_collection("embeddings") \ No newline at end of file +collection = client.get_or_create_collection("embeddings") diff --git a/tests/test_feedback.py b/tests/test_feedback.py index a0b8031..1777bb2 100644 --- a/tests/test_feedback.py +++ b/tests/test_feedback.py @@ -1,7 +1,6 @@ import os -os.environ["TESTING"] = "True" - from pathlib import Path +from typing import Generator, Tuple import pytest from fastapi.testclient import TestClient @@ -9,47 +8,49 @@ from database.database import Database from main import app - +os.environ["TESTING"] = "True" client = TestClient(app) + @pytest.fixture(scope="module") -def context(): +def context() -> Generator[Tuple[dict, Database], None, None]: + """Set up the database context and provides a client with an authorized header.""" db = Database() with db: db.query_from_file(Path(__file__).parents[1] / "database" / "database_init.sql") - user_data = { - "email": "test@example.com", - "password": "testpassword" - } - + user_data = {"email": "test@example.com", "password": "testpassword"} + response = client.post("/user/signup", json=user_data) assert response.status_code == 200 - response = client.post("/user/login", data={"username": user_data["email"], "password": user_data["password"]}) + response = client.post( + "/user/login", data={"username": user_data["email"], "password": user_data["password"]} + ) assert response.status_code == 200 token = response.json()["access_token"] - client.headers = { - **client.headers, - "Authorization": f"Bearer {token}" - } - + client.headers = {**client.headers, "Authorization": f"Bearer {token}"} + yield client.headers, db db.delete_db() -def test_feedback_thumbs_up(context): + +def test_feedback_thumbs_up(context: Tuple[dict, Database]) -> None: + """Test to ensure that giving a thumbs up feedback works correctly.""" headers, db = context[0], context[1] message_id = "test_message_id_1" response = client.post(f"/feedback/{message_id}/thumbs_up", headers=headers) assert response.status_code == 200 with db: - result = db.query("SELECT 1 FROM feedback WHERE message_id = ?", (message_id, ))[0] + result = db.query("SELECT 1 FROM feedback WHERE message_id = ?", (message_id,))[0] assert len(result) == 1 -def test_feedback_thumbs_down(context): + +def test_feedback_thumbs_down(context: Tuple[dict, Database]) -> None: + """Test to ensure that giving a thumbs down feedback works correctly.""" headers, db = context[0], context[1] message_id = "test_message_id_2" response = client.post(f"/feedback/{message_id}/thumbs_down", headers=headers) assert response.status_code == 200 with db: - result = db.query("SELECT 1 FROM feedback WHERE message_id = ?", (message_id, ))[0] + result = db.query("SELECT 1 FROM feedback WHERE message_id = ?", (message_id,))[0] assert len(result) == 1 diff --git a/tests/test_users.py b/tests/test_users.py index 893afae..049485b 100644 --- a/tests/test_users.py +++ b/tests/test_users.py @@ -1,47 +1,67 @@ import os -os.environ["TESTING"] = "True" - from pathlib import Path -from fastapi.testclient import TestClient + import pytest +from fastapi.testclient import TestClient from database.database import Database from main import app +os.environ["TESTING"] = "True" client = TestClient(app) + @pytest.fixture() -def initialize_database(): +def initialize_database() -> Database: + """Initialize the test database by applying the initialization SQL script.""" db = Database() with db: db.query_from_file(Path(__file__).parents[1] / "database" / "database_init.sql") yield db db.delete_db() -def test_signup(initialize_database): - response = client.post("/user/signup", json={"email": "test@example.com", "password": "testpassword"}) + +def test_signup(initialize_database: Database) -> None: + """Test the user signup process.""" + response = client.post( + "/user/signup", json={"email": "test@example.com", "password": "testpassword"} + ) assert response.status_code == 200 assert response.json()["email"] == "test@example.com" - - response = client.post("/user/signup", json={"email": "test@example.com", "password": "testpassword"}) + + response = client.post( + "/user/signup", json={"email": "test@example.com", "password": "testpassword"} + ) assert response.status_code == 400 assert "detail" in response.json() assert response.json()["detail"] == "User test@example.com already registered" -def test_login(initialize_database): - response = client.post("/user/signup", json={"email": "test@example.com", "password": "testpassword"}) + +def test_login(initialize_database: Database) -> None: + """Test the user login process.""" + response = client.post( + "/user/signup", json={"email": "test@example.com", "password": "testpassword"} + ) assert response.status_code == 200 assert response.json()["email"] == "test@example.com" - response = client.post("/user/login", data={"username": "test@example.com", "password": "testpassword"}) + response = client.post( + "/user/login", data={"username": "test@example.com", "password": "testpassword"} + ) assert response.status_code == 200 assert "access_token" in response.json() -def test_user_me(initialize_database): - response = client.post("/user/signup", json={"email": "test@example.com", "password": "testpassword"}) + +def test_user_me(initialize_database: Database) -> None: + """Test the retrieval of user profile information.""" + response = client.post( + "/user/signup", json={"email": "test@example.com", "password": "testpassword"} + ) assert response.status_code == 200 assert response.json()["email"] == "test@example.com" - - response = client.post("/user/login", data={"username": "test@example.com", "password": "testpassword"}) + + response = client.post( + "/user/login", data={"username": "test@example.com", "password": "testpassword"} + ) assert response.status_code == 200 assert "access_token" in response.json() diff --git a/user_management.py b/user_management.py index 0574614..c6f47cd 100644 --- a/user_management.py +++ b/user_management.py @@ -1,50 +1,67 @@ -from datetime import timedelta, datetime import os -from pydantic import BaseModel -from jose import jwt +from datetime import datetime, timedelta +from typing import Optional +from jose import jwt +from pydantic import BaseModel from database.database import Database SECRET_KEY = os.environ.get("SECRET_KEY", "default_unsecure_key") ALGORITHM = "HS256" + class User(BaseModel): + """User model representing the user's email and password.""" + email: str = None password: str = None -def create_user(user: User): + +def create_user(user: User) -> None: + """Create a new user in the database.""" with Database() as connection: - connection.query("INSERT INTO user (email, password) VALUES (?, ?)", (user.email, user.password)) + connection.query( + "INSERT INTO user (email, password) VALUES (?, ?)", (user.email, user.password) + ) + def user_exists(email: str) -> bool: + """Check if a user exists in the database by email.""" with Database() as connection: result = connection.query("SELECT 1 FROM user WHERE email = ?", (email,))[0] return bool(result) -def get_user(email: str): + +def get_user(email: str) -> Optional[User]: + """Retrieve a user from the database by email.""" with Database() as connection: user_row = connection.query("SELECT * FROM user WHERE email = ?", (email,))[0] for row in user_row: return User(**row) raise Exception("User not found") - -def delete_user(email: str): + + +def delete_user(email: str) -> None: + """Delete a user from the database by email.""" with Database() as connection: connection.query("DELETE FROM user WHERE email = ?", (email,)) -def authenticate_user(username: str, password: str): + +def authenticate_user(username: str, password: str) -> Optional[User]: + """Authenticate a user by their username and password.""" user = get_user(username) if not user or not password == user.password: return False return user -def create_access_token(*, data: dict, expires_delta: timedelta = None): + +def create_access_token(*, data: dict, expires_delta: Optional[timedelta] = None) -> str: + """Create a JWT access token for a user.""" to_encode = data.copy() if expires_delta: expire = datetime.utcnow() + expires_delta else: expire = datetime.utcnow() + timedelta(minutes=15) to_encode.update({"exp": expire}) - encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM) - return encoded_jwt + return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM) From 855852d2647501e8c4e47e61614a7de07ac31b18 Mon Sep 17 00:00:00 2001 From: Sarah LAUZERAL Date: Sun, 17 Dec 2023 18:13:17 +0100 Subject: [PATCH 6/8] add endpoints to lib --- app/app.py | 30 +++++-------- app/assets/logo_chat.png | Bin 0 -> 26958 bytes authentication.py => lib/authentication.py | 0 lib/backend.py | 45 ++++++++++++++++++- document_store.py => lib/document_store.py | 0 main.py => lib/main.py | 8 ++-- model.py => lib/model.py | 0 user_management.py => lib/user_management.py | 0 test_sla.ipynb => notebooks/test_sla.ipynb | 24 +++++++++- requirements.in | 1 + requirements.txt | 17 ++++++- tests/test_feedback.py | 2 +- tests/test_users.py | 2 +- 13 files changed, 100 insertions(+), 29 deletions(-) create mode 100644 app/assets/logo_chat.png rename authentication.py => lib/authentication.py (100%) rename document_store.py => lib/document_store.py (100%) rename main.py => lib/main.py (97%) rename model.py => lib/model.py (100%) rename user_management.py => lib/user_management.py (100%) rename test_sla.ipynb => notebooks/test_sla.ipynb (73%) diff --git a/app/app.py b/app/app.py index 231181f..f080533 100644 --- a/app/app.py +++ b/app/app.py @@ -9,37 +9,34 @@ from streamlit_feedback import streamlit_feedback import lib.chatbot as utils -from lib.auth import auth_cloud_run load_dotenv() embedding_api_base = os.getenv("EMBEDDING_OPENAI_API_BASE") embedding_api_key = os.getenv("EMBEDDING_API_KEY") +FASTAPI_URL = "http://localhost:8000" if __name__ == "__main__": - logo_title = Image.open("interface/assets/Hello_bank_logo.png") - logo_tab = Image.open("interface/assets/hello_bank_chat_logo.jpeg") - logo_chat = Image.open("interface/assets/helloiz_logo.png") - logo_user = Image.open("interface/assets/logo_user.png") + logo_chat = Image.open("app/assets/logo_chat.png") + logo_tab = Image.open("app/assets/logo_tab.jpeg") + logo_title = Image.open("app/assets/logo_title.jpeg") + logo_user = Image.open("app/assets/logo_user.png") st.set_page_config( - page_title="Helloïz ChatBot", + page_title="RAG ChatBot", page_icon=logo_tab, ) - if not auth_cloud_run(): - st.stop() - col1, mid, col2 = st.columns([4, 4, 20]) with col1: st.image(logo_title, width=100) with col2: - st.title("Helloïz demo") - st.caption( - "Helloïz demo est un assistant IA offrant des conseils sur les offres \ - et services de la banque en ligne Hello Bank.\ - Il ne remplace pas un conseiller bancaire. Helloïz peut commettre des erreurs." - ) + st.title("RAG ChatBot demo") + # st.caption( + # "Helloïz demo est un assistant IA offrant des conseils sur les offres \ + # et services de la banque en ligne Hello Bank.\ + # Il ne remplace pas un conseiller bancaire. Helloïz peut commettre des erreurs." + # ) msgs = StreamlitChatMessageHistory(key="special_app_key") memory = ConversationBufferMemory( @@ -75,12 +72,9 @@ response = utils.get_response(answer_chain, prompt) st.markdown(response) - # if st.session_state.get("run_id"): feedback = streamlit_feedback( feedback_type="thumbs", optional_text_label="[Optional] Please provide an explanation", - # on_submit= - # key=f"feedback_{st.session_state.run_id}", ) if feedback: diff --git a/app/assets/logo_chat.png b/app/assets/logo_chat.png new file mode 100644 index 0000000000000000000000000000000000000000..0ce3798e9d484a4e53cd82fec2ffe75b9660ebd8 GIT binary patch literal 26958 zcmd431zTH9)HVtP5?qQqg%)>rcXx_Yio09!6ez`?;_hz6g1eRAmg1o}DGsGTp&z{G zJ?HxiC;Qsh4B2aD_RN}fFPjjnt*L~ANr8!kgoLA_EU$}%giP{sqXVD6DbZ-xdM=Q? zb(Lh1>ZhrWp8xn{`%cA9Lj#HRxsHy6hWrW%@Ivx@At6&Bq5V%C2}u>1^8c&rA~XLl z4GI!cj3W~2|I(N|moJ~>=li+!|CWG4l-z{P13YhqXtOVSr4DL{Q&;#@A^JnJYKLm z9`6oi0)k;TYo%VJzaab 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index ed2b92b..cc9b2fc 100644 --- a/lib/backend.py +++ b/lib/backend.py @@ -1,4 +1,4 @@ -from typing import List +from typing import List, Tuple, Union import streamlit as st from langchain.chat_models import AzureChatOpenAI @@ -11,6 +11,13 @@ UnstructuredPowerPointLoader, ) from langchain.embeddings import OpenAIEmbeddings +from langchain.memory import ( + ConversationBufferMemory, + ConversationBufferWindowMemory, + ConversationSummaryBufferMemory, + ConversationSummaryMemory, +) +from langchain.memory.chat_message_histories import StreamlitChatMessageHistory from langchain.text_splitter import ( CharacterTextSplitter, RecursiveCharacterTextSplitter, @@ -90,3 +97,39 @@ def get_chunks( def get_vector_store(_texts: List[str], _embeddings: OpenAIEmbeddings) -> Chroma: """Returns an instance of Chroma based on the provided parameters.""" return Chroma.from_documents(_texts, _embeddings) + + +def choose_memory_type( + memory_type: str, llm: AzureChatOpenAI +) -> Tuple[ + StreamlitChatMessageHistory, + Union[ + ConversationBufferMemory, + ConversationBufferWindowMemory, + ConversationSummaryMemory, + ConversationSummaryBufferMemory, + ], +]: + """Chooses the memory type for the conversation based on the provided memory_type string.""" + msgs = StreamlitChatMessageHistory(key="special_app_key") + if memory_type == "": + memory = ConversationBufferMemory( + memory_key="chat_history", chat_memory=msgs, return_messages=True + ) + elif memory_type == "": + memory = ConversationBufferWindowMemory( + k=2, memory_key="chat_history", chat_memory=msgs, return_messages=True + ) + elif memory_type == "": + memory = ConversationSummaryMemory( + llm=llm, memory_key="chat_history", chat_memory=msgs, return_messages=True + ) + elif memory_type == "": + memory = ConversationSummaryBufferMemory( + llm=llm, + max_token_limit=100, + memory_key="chat_history", + chat_memory=msgs, + return_messages=True, + ) + return msgs, memory diff --git a/document_store.py b/lib/document_store.py similarity index 100% rename from document_store.py rename to lib/document_store.py diff --git a/main.py b/lib/main.py similarity index 97% rename from main.py rename to lib/main.py index aa7c340..c2aff6f 100644 --- a/main.py +++ b/lib/main.py @@ -6,11 +6,11 @@ from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm from jose import JWTError, jwt -import document_store +import lib.document_store as document_store from database.database import Database -from document_store import StorageBackend -from model import Doc -from user_management import ( +from lib.document_store import StorageBackend +from lib.model import Doc +from lib.user_management import ( ALGORITHM, SECRET_KEY, User, diff --git a/model.py b/lib/model.py similarity index 100% rename from model.py rename to lib/model.py diff --git a/user_management.py b/lib/user_management.py similarity index 100% rename from user_management.py rename to lib/user_management.py diff --git a/test_sla.ipynb b/notebooks/test_sla.ipynb similarity index 73% rename from test_sla.ipynb rename to notebooks/test_sla.ipynb index 6553ba5..523a617 100644 --- a/test_sla.ipynb +++ b/notebooks/test_sla.ipynb @@ -20,6 +20,8 @@ "import sys\n", "\n", "current_directory = os.getcwd()\n", + "parent_directory = os.path.dirname(current_directory)\n", + "sys.path.append(parent_directory)\n", "data_folder_path = f\"{current_directory}/data\"" ] }, @@ -99,9 +101,27 @@ "metadata": {}, "outputs": [], "source": [ - "def choose_momery_type(memory_type):\n", + "from langchain.memory import ConversationBufferMemory, ConversationBufferWindowMemory, ConversationSummaryMemory, ConversationSummaryBufferMemory\n", + "from langchain.memory.chat_message_histories import StreamlitChatMessageHistory" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def choose_momery_type(memory_type, llm):\n", + " msgs = StreamlitChatMessageHistory(key=\"special_app_key\")\n", " if memory_type == \"\":\n", - " memory = " + " memory = ConversationBufferMemory(memory_key=\"chat_history\", chat_memory=msgs, return_messages=True)\n", + " elif memory_type == \"\":\n", + " memory = ConversationBufferWindowMemory(k=2, memory_key=\"chat_history\", chat_memory=msgs, return_messages=True)\n", + " elif memory_type == \"\":\n", + " memory = ConversationSummaryMemory(llm=llm, memory_key=\"chat_history\", chat_memory=msgs, return_messages=True)\n", + " elif memory_type == \"\":\n", + " memory = ConversationSummaryBufferMemory(llm=llm, max_token_limit=100, memory_key=\"chat_history\", chat_memory=msgs, return_messages=True)\n", + " return memory\n" ] }, { diff --git a/requirements.in b/requirements.in index 9374b81..7c75132 100644 --- a/requirements.in +++ b/requirements.in @@ -30,3 +30,4 @@ python-multipart httpx pytest python-jose +trubrics[streamlit] diff --git a/requirements.txt b/requirements.txt index 30157d2..0a4c26e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -253,6 +253,8 @@ langdetect==1.0.9 # via unstructured langsmith==0.0.69 # via langchain +loguru==0.7.2 + # via trubrics lxml==4.9.3 # via # python-pptx @@ -378,6 +380,7 @@ pydantic==2.5.2 # fastapi # langchain # langsmith + # trubrics pydantic-core==2.14.5 # via pydantic pydeck==0.8.1b0 @@ -449,6 +452,7 @@ requests==2.31.0 # requests-oauthlib # streamlit # tiktoken + # trubrics # unstructured requests-oauthlib==1.3.1 # via google-auth-oauthlib @@ -491,7 +495,12 @@ starlette==0.27.0 stevedore==5.1.0 # via bandit streamlit==1.29.0 - # via -r requirements.in + # via + # -r requirements.in + # streamlit-feedback + # trubrics +streamlit-feedback==0.1.2 + # via trubrics sympy==1.12 # via onnxruntime tabulate==0.9.0 @@ -525,8 +534,12 @@ traitlets==5.14.0 # via # jupyter-core # nbformat +trubrics[streamlit]==1.6.2 + # via -r requirements.in typer==0.9.0 - # via chromadb + # via + # chromadb + # trubrics types-requests==2.31.0.10 # via langchainhub typing-extensions==4.9.0 diff --git a/tests/test_feedback.py b/tests/test_feedback.py index 1777bb2..46695ac 100644 --- a/tests/test_feedback.py +++ b/tests/test_feedback.py @@ -6,7 +6,7 @@ from fastapi.testclient import TestClient from database.database import Database -from main import app +from lib.main import app os.environ["TESTING"] = "True" client = TestClient(app) diff --git a/tests/test_users.py b/tests/test_users.py index 049485b..76920a7 100644 --- a/tests/test_users.py +++ b/tests/test_users.py @@ -5,7 +5,7 @@ from fastapi.testclient import TestClient from database.database import Database -from main import app +from lib.main import app os.environ["TESTING"] = "True" client = TestClient(app) From df1ca033183cf7980b8b1bf6602738e367d929a0 Mon Sep 17 00:00:00 2001 From: Sarah LAUZERAL Date: Mon, 18 Dec 2023 00:06:51 +0100 Subject: [PATCH 7/8] start app authent --- .streamlit/config.toml | 12 ++ README.md | 4 + app/app.py | 88 ----------- database/database.py | 4 +- database/database.sqlite | Bin 0 -> 36864 bytes interface/app.py | 91 +++++++++++ {app => interface}/assets/logo_chat.png | Bin {app => interface}/assets/logo_tab.jpeg | Bin {app => interface}/assets/logo_title.jpeg | Bin {app => interface}/assets/logo_user.png | Bin interface/lib/auth.py | 60 ++++++++ {app => interface}/lib/chatbot.py | 174 ++++++++++++---------- {app => interface}/lib/logs.py | 0 lib/backend.py | 12 +- notebooks/test_auth.ipynb | 125 ++++++++++++++++ requirements.in | 1 + requirements.txt | 4 +- 17 files changed, 397 insertions(+), 178 deletions(-) create mode 100644 .streamlit/config.toml delete mode 100644 app/app.py create mode 100644 database/database.sqlite create mode 100644 interface/app.py rename {app => interface}/assets/logo_chat.png (100%) rename {app => interface}/assets/logo_tab.jpeg (100%) rename {app => interface}/assets/logo_title.jpeg (100%) rename {app => interface}/assets/logo_user.png (100%) create mode 100644 interface/lib/auth.py rename {app => interface}/lib/chatbot.py (57%) rename {app => interface}/lib/logs.py (100%) create mode 100644 notebooks/test_auth.ipynb diff --git a/.streamlit/config.toml b/.streamlit/config.toml new file mode 100644 index 0000000..1b21916 --- /dev/null +++ b/.streamlit/config.toml @@ -0,0 +1,12 @@ +[theme] +base="light" +primaryColor="#dcd5bf" +secondaryBackgroundColor="#ededed" +textColor="#000000" + +[server] +maxMessageSize = 10000 +maxUploadSize = 5 + +[ui] +hideTopBar = true diff --git a/README.md b/README.md index 9d6e60f..8acdbb3 100644 --- a/README.md +++ b/README.md @@ -2,4 +2,8 @@ # skaff-rag-accelerator +```bash +export PYTHONPATH="/Users/sarah.lauzeral/Library/CloudStorage/GoogleDrive-sarah.lauzeral@artefact.com/Mon Drive/internal_projects/skaff-rag-accelerator/" +``` + diff --git a/app/app.py b/app/app.py deleted file mode 100644 index f080533..0000000 --- a/app/app.py +++ /dev/null @@ -1,88 +0,0 @@ -import os -from datetime import datetime - -import streamlit as st -from dotenv import load_dotenv -from langchain.memory import ConversationBufferMemory -from langchain.memory.chat_message_histories import StreamlitChatMessageHistory -from PIL import Image -from streamlit_feedback import streamlit_feedback - -import lib.chatbot as utils - -load_dotenv() -embedding_api_base = os.getenv("EMBEDDING_OPENAI_API_BASE") -embedding_api_key = os.getenv("EMBEDDING_API_KEY") -FASTAPI_URL = "http://localhost:8000" - - -if __name__ == "__main__": - logo_chat = Image.open("app/assets/logo_chat.png") - logo_tab = Image.open("app/assets/logo_tab.jpeg") - logo_title = Image.open("app/assets/logo_title.jpeg") - logo_user = Image.open("app/assets/logo_user.png") - - st.set_page_config( - page_title="RAG ChatBot", - page_icon=logo_tab, - ) - - col1, mid, col2 = st.columns([4, 4, 20]) - with col1: - st.image(logo_title, width=100) - with col2: - st.title("RAG ChatBot demo") - # st.caption( - # "Helloïz demo est un assistant IA offrant des conseils sur les offres \ - # et services de la banque en ligne Hello Bank.\ - # Il ne remplace pas un conseiller bancaire. Helloïz peut commettre des erreurs." - # ) - - msgs = StreamlitChatMessageHistory(key="special_app_key") - memory = ConversationBufferMemory( - memory_key="chat_history", chat_memory=msgs, return_messages=True - ) - - llm_40 = utils.get_llm(temperature=0.1, model_version="4", live_streaming=True) - embeddings = utils.get_embeddings_model(embedding_api_base, embedding_api_key) - - documents = utils.load_documents(source="site") - texts = utils.get_chunks(documents, chunk_size=1500, chunk_overlap=200) - docsearch = utils.get_vector_store(texts, embeddings) - answer_chain = utils.get_answer_chain(llm_40, docsearch, memory) - - if len(msgs.messages) == 0: - msgs.add_ai_message( - f"Bonjour {st.session_state['name']} !\ - Je suis Helloïz, comment puis-je vous aider ?" - ) - - for msg in msgs.messages: - msg_content_formatted = utils.format_history_msg(msg.content) - if msg.type == "ai": - with st.chat_message(msg.type, avatar=logo_chat): - st.markdown(msg_content_formatted) - else: - with st.chat_message(msg.type, avatar=logo_user): - st.markdown(msg_content_formatted) - - if prompt := st.chat_input(): - st.chat_message("human", avatar=logo_user).write(prompt) - with st.chat_message("ai", avatar=logo_chat): - response = utils.get_response(answer_chain, prompt) - st.markdown(response) - - feedback = streamlit_feedback( - feedback_type="thumbs", - optional_text_label="[Optional] Please provide an explanation", - ) - - if feedback: - data_dict = { - "query": prompt, - "answer": response, - "user": st.session_state.get("name", False), - "horodate": datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S"), - "feedback": feedback.get("feedback_type"), - } - print(data_dict) diff --git a/database/database.py b/database/database.py index dd77032..b618196 100644 --- a/database/database.py +++ b/database/database.py @@ -20,7 +20,9 @@ def __enter__(self) -> "Database": self.conn.row_factory = sqlite3.Row return self - def __exit__(self, exc_type: Optional[type]) -> None: + def __exit__( + self, exc_type: Optional[type], exc_val: Optional[type], exc_tb: Optional[type] + ) -> None: """Exit the runtime context and close the database connection properly.""" if exc_type is not None: self.conn.rollback() diff --git a/database/database.sqlite b/database/database.sqlite new file mode 100644 index 0000000000000000000000000000000000000000..e03d11acd7fd18240224ada2ee5788d4c869bc1e GIT binary patch literal 36864 zcmeI&zi!h&9KdlqZu6&VY9xp}M4={2TZt4!Y_KFmZdFkVq!FSE){!_gB56wOsuf$x zldv(eRq8V!F*39A1dQAzHmxHiuvLn_CtZBKv+wTrIcLaS_h0UI0?%&u2R#wk54BsG zu4@(B)-)|8b4KPUEy#k(QPQKrjB85UZ2!udzqR!8rDpcc?<-%;t?ZYT;qqnnbjEWu zA%Fk^2q1s}0tg_000P$phL2Jyt5DF-w*&FE>$N?v^;R_BN7r<%?o=C&-KajslUC9J;cLOnOG+mLQ) zQE1xT90$nf>5(@%j$FSjXs+FaCJ0$)sM=F`0T^($Fm=g zG3`}77QTPlAB69+oJeBUL{!IaS$!Jvimsr+*Rx2q1s}0tg_000IagfB*sr%&~wv|L6Dr z94|1TA%Fk^2q1s}0tg_000IagAO$%8=QTh80R#|0009ILKmY**5I|u51vvko|1~B; z1Q0*~0R#|0009ILKmY**IREDzKmY**5I_I{1Q0*~0R#|0VEzR-|DXRgCPD-dKmY** P5I_I{1Q0*~0R;X4q+&a1 literal 0 HcmV?d00001 diff --git a/interface/app.py b/interface/app.py new file mode 100644 index 0000000..07000dd --- /dev/null +++ b/interface/app.py @@ -0,0 +1,91 @@ +import os +import tempfile +from datetime import datetime + +import streamlit as st +from dotenv import load_dotenv +from PIL import Image +from streamlit_feedback import streamlit_feedback + +import interface.lib.chatbot as utils +from interface.lib.auth import login_form + +load_dotenv() +embedding_api_base = os.getenv("EMBEDDING_OPENAI_API_BASE") +embedding_api_key = os.getenv("EMBEDDING_API_KEY") +FASTAPI_URL = "http://localhost:8000" + + +if __name__ == "__main__": + logo_chat = Image.open("interface/assets/logo_chat.png") + logo_tab = Image.open("interface/assets/logo_tab.jpeg") + logo_title = Image.open("interface/assets/logo_title.jpeg") + logo_user = Image.open("interface/assets/logo_user.png") + + st.set_page_config( + page_title="RAG ChatBot", + page_icon=logo_tab, + ) + + if not login_form(): + st.stop() + + st.image(logo_title) + st.caption( + "Démo d'un assistant IA, cloud agnostic, permettant de faire du RAG \ + sur différent type de document.\ + Le backend du ChatBot est APéïsé ce qui permet une meilleure scalabilité et robustesse." + ) + + uploaded_file = st.file_uploader("Upload a file", type=["pdf", "csv", "xlsx", "pptx", "docx"]) + + if uploaded_file: + temp_dir = tempfile.TemporaryDirectory() + temp_filepath = os.path.join(temp_dir.name, uploaded_file.name) + with open(temp_filepath, "wb") as f: + f.write(uploaded_file.read()) + + file_title, file_extension = os.path.splitext(uploaded_file.name) + + llm_40 = utils.get_llm(temperature=0.1, model_version="4", live_streaming=True) + embeddings = utils.get_embeddings_model(embedding_api_base, embedding_api_key) + + documents = utils.load_documents(file_extension, temp_filepath) + texts = utils.get_chunks( + documents, chunk_size=1500, chunk_overlap=200, text_splitter_type="recursive" + ) + docsearch = utils.get_vector_store(texts, embeddings) + msgs, memory = utils.choose_memory_type(memory_type="buffer") + answer_chain = utils.get_answer_chain(llm_40, docsearch, memory) + + if len(msgs.messages) == 0: + msgs.add_ai_message(f"Bonjour ! Je suis le ChatBot Skaff, comment puis-je vous aider ?") + + for msg in msgs.messages: + if msg.type == "ai": + with st.chat_message(msg.type, avatar=logo_chat): + st.markdown(msg.content) + else: + with st.chat_message(msg.type, avatar=logo_user): + st.markdown(msg.content) + + if prompt := st.chat_input(): + st.chat_message("human", avatar=logo_user).write(prompt) + with st.chat_message("ai", avatar=logo_chat): + response = utils.get_response(answer_chain, prompt) + st.markdown(response) + + feedback = streamlit_feedback( + feedback_type="thumbs", + optional_text_label="[Optional] Please provide an explanation", + ) + + if feedback: + data_dict = { + "query": prompt, + "answer": response, + "user": st.session_state.get("name", False), + "horodate": datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S"), + "feedback": feedback.get("feedback_type"), + } + print(data_dict) diff --git a/app/assets/logo_chat.png b/interface/assets/logo_chat.png similarity index 100% rename from app/assets/logo_chat.png rename to interface/assets/logo_chat.png diff --git a/app/assets/logo_tab.jpeg b/interface/assets/logo_tab.jpeg similarity index 100% rename from app/assets/logo_tab.jpeg rename to interface/assets/logo_tab.jpeg diff --git a/app/assets/logo_title.jpeg b/interface/assets/logo_title.jpeg similarity index 100% rename from app/assets/logo_title.jpeg rename to interface/assets/logo_title.jpeg diff --git a/app/assets/logo_user.png b/interface/assets/logo_user.png similarity index 100% rename from app/assets/logo_user.png rename to interface/assets/logo_user.png diff --git a/interface/lib/auth.py b/interface/lib/auth.py new file mode 100644 index 0000000..81788c8 --- /dev/null +++ b/interface/lib/auth.py @@ -0,0 +1,60 @@ +from typing import Optional + +import streamlit as st +from fastapi.testclient import TestClient + +from lib.main import app + +client = TestClient(app) + + +def log_in(username: str, password: str) -> Optional[str]: + response = client.post("/user/login", data={"username": username, "password": password}) + if response.status_code == 200 and "access_token" in response.json(): + return response.json()["access_token"] + else: + return None + + +def sign_up(username: str, password: str) -> str: + response = client.post("/user/signup", json={"username": username, "password": password}) + if response.status_code == 200 and "email" in response.json(): + return f"User {username} registered successfully." + else: + return "Registration failed." + + +def reset_pwd(username: str) -> str: + # Assuming there's an endpoint to request a password reset + response = client.post("/user/reset-password", json={"username": username}) + if response.status_code == 200: + return "Password reset link sent." + else: + return "Failed to send password reset link." + + +def login_form(): + """Form with widgets to collect user information.""" + action = st.selectbox("Choose Action", ["Log in", "Sign up", "Reset Password"]) + + with st.form("Credentials"): + username = st.text_input("Username") + # Password should not be asked when the user wants to reset the password + password = st.text_input("Password", type="password") if action != "Reset Password" else "" + + submitted = st.form_submit_button("Submit") + + if submitted: + if action == "Log in": + token = log_in(username, password) + if token: + st.success("Logged in successfully.") + # You can use the token here to make authenticated requests + else: + st.error("Login failed.") + elif action == "Sign up": + result = sign_up(username, password) + st.info(result) + elif action == "Reset Password": + result = reset_pwd(username, password) + st.info(result) diff --git a/app/lib/chatbot.py b/interface/lib/chatbot.py similarity index 57% rename from app/lib/chatbot.py rename to interface/lib/chatbot.py index a8d9e09..53649ac 100644 --- a/app/lib/chatbot.py +++ b/interface/lib/chatbot.py @@ -1,13 +1,25 @@ -import json -from typing import List +from typing import List, Optional, Tuple, Union import pandas as pd import streamlit as st from langchain.chains import ConversationalRetrievalChain, LLMChain from langchain.chains.combine_documents.stuff import StuffDocumentsChain from langchain.chat_models import AzureChatOpenAI +from langchain.document_loaders import ( + CSVLoader, + Docx2txtLoader, + PyPDFLoader, + UnstructuredExcelLoader, + UnstructuredPowerPointLoader, +) from langchain.embeddings import OpenAIEmbeddings -from langchain.memory import ConversationBufferMemory +from langchain.memory import ( + ConversationBufferMemory, + ConversationBufferWindowMemory, + ConversationSummaryBufferMemory, + ConversationSummaryMemory, +) +from langchain.memory.chat_message_histories import StreamlitChatMessageHistory from langchain.prompts import ( ChatPromptTemplate, HumanMessagePromptTemplate, @@ -15,9 +27,14 @@ ) from langchain.schema.document import Document from langchain.schema.messages import HumanMessage, SystemMessage -from langchain.text_splitter import RecursiveCharacterTextSplitter +from langchain.text_splitter import ( + CharacterTextSplitter, + RecursiveCharacterTextSplitter, +) from langchain.vectorstores import Chroma +from interface.lib.logs import StreamHandler + @st.cache_resource def get_llm( @@ -47,7 +64,7 @@ def get_llm( def get_embeddings_model(embedding_api_base: str, embedding_api_key: str) -> OpenAIEmbeddings: """Returns an instance of OpenAIEmbeddings based on the provided parameters.""" return OpenAIEmbeddings( - deployment="text-embedding-ada-002", + deployment="embeddings", openai_api_type="azure", openai_api_base=embedding_api_base, openai_api_key=embedding_api_key, @@ -68,49 +85,39 @@ def get_documents(data: pd.DataFrame) -> List[Document]: @st.cache_data -def load_documents(source: str) -> List[Document]: - """Loads documents from two CSV files and returns a combined list of these documents.""" - if source == "faq": - data_faq = pd.read_csv( - "../interface/assets/scraping_faq.csv", delimiter="\t", encoding="utf-8-sig" - ) - documents = get_documents(data_faq) - - elif source == "site": - data_site = pd.read_csv( - "interface/assets/scraping_site.csv", delimiter="\t", encoding="utf-8-sig" - ) # ../interface/assets/scraping_site.csv - data_site["question"] = ( - data_site["source"].str.rsplit("/", n=2).str[-2].str.replace("-", " ") - ) - data_site = data_site.rename(columns={"description": "answer"}) - documents = get_documents(data_site) - - elif source == "both": - data_faq = pd.read_csv( - "../interface/assets/scraping_faq.csv", delimiter="\t", encoding="utf-8-sig" - ) - documents_faq = get_documents(data_faq) - - data_site = pd.read_csv( - "../interface/assets/scraping_site.csv", delimiter="\t", encoding="utf-8-sig" - ) - data_site["question"] = ( - data_site["source"].str.rsplit("/", n=2).str[-2].str.replace("-", " ") - ) - data_site = data_site.rename(columns={"description": "answer"}) - documents_site = get_documents(data_site) - documents = documents_faq + documents_site - - return documents +def load_documents(file_extension: str, file_path: str): + """Loads documents based on the file extension and path provided.""" + if file_extension == ".pdf": + loader = PyPDFLoader(file_path) + elif file_extension in [".csv"]: + loader = CSVLoader(file_path, encoding="utf-8-sig", csv_args={"delimiter": "\t"}) + elif file_extension in [".xlsx"]: + loader = UnstructuredExcelLoader(file_path, mode="elements") + elif file_extension in [".pptx"]: + loader = UnstructuredPowerPointLoader(file_path) + elif file_extension in [".docx"]: + loader = Docx2txtLoader(file_path) + else: + st.error("Unsupported file type!") + + return loader.load() @st.cache_data -def get_chunks(_documents: List[str], chunk_size: int, chunk_overlap: int) -> List[str]: +def get_chunks( + _documents: List[str], chunk_size: int, chunk_overlap: int, text_splitter_type: int +) -> List[str]: """Splits the documents into chunks.""" - text_splitter = RecursiveCharacterTextSplitter( - separators=["\n\n", "\n", " "], chunk_size=chunk_size, chunk_overlap=chunk_overlap - ) + if text_splitter_type == "basic": + text_splitter = CharacterTextSplitter( + separator="\n\n", + chunk_size=chunk_size, + chunk_overlap=chunk_overlap, + ) + elif text_splitter_type == "recursive": + text_splitter = RecursiveCharacterTextSplitter( + separators=["\n\n", "\n", " "], chunk_size=chunk_size, chunk_overlap=chunk_overlap + ) return text_splitter.split_documents(_documents) @@ -120,6 +127,43 @@ def get_vector_store(_texts: List[str], _embeddings: OpenAIEmbeddings) -> Chroma return Chroma.from_documents(_texts, _embeddings) +@st.cache_data +def choose_memory_type( + memory_type: str, _llm: Optional[AzureChatOpenAI] = None +) -> Tuple[ + StreamlitChatMessageHistory, + Union[ + ConversationBufferMemory, + ConversationBufferWindowMemory, + ConversationSummaryMemory, + ConversationSummaryBufferMemory, + ], +]: + """Chooses the memory type for the conversation based on the provided memory_type string.""" + msgs = StreamlitChatMessageHistory(key="special_app_key") + if memory_type == "buffer": + memory = ConversationBufferMemory( + memory_key="chat_history", chat_memory=msgs, return_messages=True + ) + elif memory_type == "buffer_window": + memory = ConversationBufferWindowMemory( + k=2, memory_key="chat_history", chat_memory=msgs, return_messages=True + ) + elif memory_type == "summary": + memory = ConversationSummaryMemory( + llm=_llm, memory_key="chat_history", chat_memory=msgs, return_messages=True + ) + elif memory_type == "summary_buffer": + memory = ConversationSummaryBufferMemory( + llm=_llm, + max_token_limit=100, + memory_key="chat_history", + chat_memory=msgs, + return_messages=True, + ) + return msgs, memory + + def get_answer_chain( llm: AzureChatOpenAI, docsearch: Chroma, memory: ConversationBufferMemory ) -> ConversationalRetrievalChain: @@ -143,31 +187,17 @@ def get_answer_chain( messages = [ SystemMessage( content=( - """En tant qu'assistant bancaire nommé Helloïz, spécialisé dans les -services de la banque en ligne Hello Bank, votre mission est de répondre de manière \ -précise et concise aux interrogations des utilisateurs. + """En tant qu'assistant chatbot, votre mission est de répondre de manière \ +précise et concise aux interrogations des utilisateurs à partir des documents donnés en input. Il est essentiel de répondre dans la même langue que celle utilisée pour poser la question. Les réponses doivent être rédigées dans un style professionnel et doivent faire preuve \ d'une grande attention aux détails. -Pour répondre à chaque question, veuillez structurer votre réponse sous la forme \ -d'un objet JSON avec les clés suivantes : -- 'answer': Fournissez une réponse claire, précise et excacte à la question. -- 'source': Enumérez le contenu spécifique du document que vous avez utilisé pour formuler \ -votre réponse. - -Exemple : -{ -"answer": "Si vous ne parvenez pas à effectuer un virement unitaire ou permanent, \ -nous vous invitons à contacter la Hello Team.", -"source": ["https://www.hellobank.fr/faq/mon-virement-a-ete-bloque-que-faire.html"] -} """ ) ), HumanMessage(content="Répondez à la question en prenant en compte le contexte suivant"), HumanMessagePromptTemplate.from_template("{context}"), HumanMessagePromptTemplate.from_template("Question: {question}"), - HumanMessage(content="Tips: Make sure to answer in the specific JSON format requested."), ] system_prompt = ChatPromptTemplate(messages=messages) qa_chain = LLMChain( @@ -195,27 +225,7 @@ def get_answer_chain( ) -def format_chatbot_answer(response_msg: str) -> str: - """Formats the chatbot's answer from a JSON string to a more readable string format.""" - response = response_msg.replace("\n\n", "\\n") - json_response = json.loads(response) - answer = json_response["answer"] - source = json_response["source"] - chatbot_answer = f"{answer}\n\n" - for ref in source: - add_ref = f"Pour en savoir plus, vous pouvez consulter la page suivante: {ref} \n\n" - chatbot_answer += add_ref - return chatbot_answer - - def get_response(answer_chain: ConversationalRetrievalChain, query: str) -> str: """Processes the given query through the answer chain and returns the formatted response.""" - response = answer_chain.run(query) - return format_chatbot_answer(response) - - -def format_history_msg(msg_content: str) -> str: - """Formats the history message content.""" - if msg_content.startswith("{"): - return format_chatbot_answer(msg_content) - return msg_content + stream_handler = StreamHandler(st.empty()) + return answer_chain.run(query, callbacks=[stream_handler]) diff --git a/app/lib/logs.py b/interface/lib/logs.py similarity index 100% rename from app/lib/logs.py rename to interface/lib/logs.py diff --git a/lib/backend.py b/lib/backend.py index cc9b2fc..a21dc3a 100644 --- a/lib/backend.py +++ b/lib/backend.py @@ -1,4 +1,4 @@ -from typing import List, Tuple, Union +from typing import List, Optional, Tuple, Union import streamlit as st from langchain.chat_models import AzureChatOpenAI @@ -100,7 +100,7 @@ def get_vector_store(_texts: List[str], _embeddings: OpenAIEmbeddings) -> Chroma def choose_memory_type( - memory_type: str, llm: AzureChatOpenAI + memory_type: str, llm: Optional[AzureChatOpenAI] ) -> Tuple[ StreamlitChatMessageHistory, Union[ @@ -112,19 +112,19 @@ def choose_memory_type( ]: """Chooses the memory type for the conversation based on the provided memory_type string.""" msgs = StreamlitChatMessageHistory(key="special_app_key") - if memory_type == "": + if memory_type == "buffer": memory = ConversationBufferMemory( memory_key="chat_history", chat_memory=msgs, return_messages=True ) - elif memory_type == "": + elif memory_type == "buffer_window": memory = ConversationBufferWindowMemory( k=2, memory_key="chat_history", chat_memory=msgs, return_messages=True ) - elif memory_type == "": + elif memory_type == "summary": memory = ConversationSummaryMemory( llm=llm, memory_key="chat_history", chat_memory=msgs, return_messages=True ) - elif memory_type == "": + elif memory_type == "summary_buffer": memory = ConversationSummaryBufferMemory( llm=llm, max_token_limit=100, diff --git a/notebooks/test_auth.ipynb b/notebooks/test_auth.ipynb new file mode 100644 index 0000000..4980182 --- /dev/null +++ b/notebooks/test_auth.ipynb @@ -0,0 +1,125 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import sys\n", + "\n", + "current_directory = os.getcwd()\n", + "parent_directory = os.path.dirname(current_directory)\n", + "sys.path.append(parent_directory)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from typing import NoReturn\n", + "from fastapi.testclient import TestClient\n", + "from lib.main import app\n", + "\n", + "import streamlit as st\n", + "import requests\n", + "\n", + "client = TestClient(app)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def log_in(username: str, password: str) -> Optional[str]:\n", + " response = client.post(\n", + " \"/user/login\", data={\"username\": username, \"password\": password}\n", + " )\n", + " if response.status_code == 200 and \"access_token\" in response.json():\n", + " return response.json()[\"access_token\"]\n", + " else:\n", + " return None\n", + "\n", + "def sign_up(username: str, password: str) -> str:\n", + " response = client.post(\n", + " \"/user/signup\", json={\"username\": username, \"password\": password}\n", + " )\n", + " if response.status_code == 200 and \"email\" in response.json():\n", + " return f\"User {username} registered successfully.\"\n", + " else:\n", + " return \"Registration failed.\"\n", + "\n", + "def reset_pwd(username: str) -> str:\n", + " # Assuming there's an endpoint to request a password reset\n", + " response = client.post(\n", + " \"/user/reset-password\", json={\"username\": username}\n", + " )\n", + " if response.status_code == 200:\n", + " return \"Password reset link sent.\"\n", + " else:\n", + " return \"Failed to send password reset link.\"\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sign_up(\"sarah.lauzeral@artefact.com\", \"test_pwd\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sign_up(\"test@example.com\", \"test_pwd\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "skaff-rag-accelerator", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/requirements.in b/requirements.in index 7c75132..fba8e9d 100644 --- a/requirements.in +++ b/requirements.in @@ -31,3 +31,4 @@ httpx pytest python-jose trubrics[streamlit] +uvicorn diff --git a/requirements.txt b/requirements.txt index 0a4c26e..00a25a9 100644 --- a/requirements.txt +++ b/requirements.txt @@ -575,7 +575,9 @@ urllib3==2.0.7 # requests # types-requests uvicorn[standard]==0.24.0.post1 - # via chromadb + # via + # -r requirements.in + # chromadb uvloop==0.19.0 # via uvicorn validators==0.22.0 From d042167ab5bb4b14974ac2120392fd573ce15889 Mon Sep 17 00:00:00 2001 From: Alexis VIALARET Date: Tue, 19 Dec 2023 13:31:08 +0100 Subject: [PATCH 8/8] upd: basic model picking --- interface/lib/logs.py => backend/_logs.py | 0 {lib => backend}/authentication.py | 0 lib/backend.py => backend/backend_.py | 5 +- backend/billionaires_csv.csv | 2641 +++++++++++++++++ {interface/lib => backend}/chatbot.py | 180 +- {lib => backend}/document_store.py | 0 backend/llm.py | 17 + {lib => backend}/main.py | 17 +- {lib => backend}/model.py | 0 backend/models_config.yaml | 21 + {lib => backend}/user_management.py | 0 client/main.py | 0 database/database.sqlite | Bin 36864 -> 36864 bytes frontend/app.py | 40 + {interface => frontend}/assets/logo_chat.png | Bin {interface => frontend}/assets/logo_tab.jpeg | Bin .../assets/logo_title.jpeg | Bin {interface => frontend}/assets/logo_user.png | Bin frontend/lib/auth.py | 100 + frontend/lib/chat.py | 43 + interface/app.py | 91 - interface/lib/auth.py | 60 - lib/.gitkeep | 0 pyproject.toml | 8 +- sandbox_alexis/main.py | 49 - sandbox_alexis/text_splitter.py | 28 - sandbox_alexis/vector_store.py | 6 - 27 files changed, 2959 insertions(+), 347 deletions(-) rename interface/lib/logs.py => backend/_logs.py (100%) rename {lib => backend}/authentication.py (100%) rename lib/backend.py => backend/backend_.py (97%) create mode 100644 backend/billionaires_csv.csv rename {interface/lib => backend}/chatbot.py (83%) rename {lib => backend}/document_store.py (100%) create mode 100644 backend/llm.py rename {lib => backend}/main.py (94%) rename {lib => backend}/model.py (100%) create mode 100644 backend/models_config.yaml rename {lib => backend}/user_management.py (100%) delete mode 100644 client/main.py create mode 100644 frontend/app.py rename {interface => frontend}/assets/logo_chat.png (100%) rename {interface => frontend}/assets/logo_tab.jpeg (100%) rename {interface => frontend}/assets/logo_title.jpeg (100%) rename {interface => frontend}/assets/logo_user.png (100%) create mode 100644 frontend/lib/auth.py create mode 100644 frontend/lib/chat.py delete mode 100644 interface/app.py delete mode 100644 interface/lib/auth.py delete mode 100644 lib/.gitkeep delete mode 100644 sandbox_alexis/main.py delete mode 100644 sandbox_alexis/text_splitter.py delete mode 100644 sandbox_alexis/vector_store.py diff --git a/interface/lib/logs.py b/backend/_logs.py similarity index 100% rename from interface/lib/logs.py rename to backend/_logs.py diff --git a/lib/authentication.py b/backend/authentication.py similarity index 100% rename from lib/authentication.py rename to backend/authentication.py diff --git a/lib/backend.py b/backend/backend_.py similarity index 97% rename from lib/backend.py rename to backend/backend_.py index a21dc3a..890de6b 100644 --- a/lib/backend.py +++ b/backend/backend_.py @@ -3,7 +3,6 @@ import streamlit as st from langchain.chat_models import AzureChatOpenAI from langchain.document_loaders import ( - BaseLoader, CSVLoader, Docx2txtLoader, PyPDFLoader, @@ -31,7 +30,7 @@ def get_llm( """Returns an instance of AzureChatOpenAI based on the provided parameters.""" if model_version == "4": llm = AzureChatOpenAI( - deployment_name="gpt-4", + deployment_name="gpt4v", temperature=temperature, openai_api_version="2023-07-01-preview", streaming=live_streaming, @@ -59,7 +58,7 @@ def get_embeddings_model(embedding_api_base: str, embedding_api_key: str) -> Ope ) -def load_documents(file_extension: str, file_path: str) -> BaseLoader: +def load_documents(file_extension: str, file_path: str): """Loads documents based on the file extension and path provided.""" if file_extension == ".pdf": loader = PyPDFLoader(file_path) diff --git a/backend/billionaires_csv.csv b/backend/billionaires_csv.csv new file mode 100644 index 0000000..a8fa1e1 --- /dev/null +++ b/backend/billionaires_csv.csv @@ -0,0 +1,2641 @@ +rank,finalWorth,category,personName,age,country,city,source,industries,countryOfCitizenship,organization,selfMade,status,gender,birthDate,lastName,firstName,title,date,state,residenceStateRegion,birthYear,birthMonth,birthDay,cpi_country,cpi_change_country,gdp_country,gross_tertiary_education_enrollment,gross_primary_education_enrollment_country,life_expectancy_country,tax_revenue_country_country,total_tax_rate_country,population_country,latitude_country,longitude_country +1,211000,Fashion & Retail,Bernard Arnault & family,74,France,Paris,LVMH,Fashion & Retail,France,LVMH Moët Hennessy Louis Vuitton,FALSE,U,M,3/5/1949 0:00,Arnault,Bernard,Chairman and CEO,4/4/2023 5:01,,,1949,3,5,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +2,180000,Automotive,Elon Musk,51,United States,Austin,"Tesla, SpaceX",Automotive,United States,Tesla,TRUE,D,M,6/28/1971 0:00,Musk,Elon,CEO,4/4/2023 5:01,Texas,South,1971,6,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +3,114000,Technology,Jeff Bezos,59,United States,Medina,Amazon,Technology,United States,Amazon,TRUE,D,M,1/12/1964 0:00,Bezos,Jeff,Chairman and Founder,4/4/2023 5:01,Washington,West,1964,1,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +4,107000,Technology,Larry Ellison,78,United States,Lanai,Oracle,Technology,United States,Oracle,TRUE,U,M,8/17/1944 0:00,Ellison,Larry,CTO and Founder,4/4/2023 5:01,Hawaii,West,1944,8,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +5,106000,Finance & Investments,Warren Buffett,92,United States,Omaha,Berkshire Hathaway,Finance & Investments,United States,Berkshire Hathaway Inc. (Cl A),TRUE,D,M,8/30/1930 0:00,Buffett,Warren,CEO,4/4/2023 5:01,Nebraska,Midwest,1930,8,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +6,104000,Technology,Bill Gates,67,United States,Medina,Microsoft,Technology,United States,Bill & Melinda Gates Foundation,TRUE,D,M,10/28/1955 0:00,Gates,Bill,Cochair,4/4/2023 5:01,Washington,West,1955,10,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +7,94500,Media & Entertainment,Michael Bloomberg,81,United States,New York,Bloomberg LP,Media & Entertainment,United States,Bloomberg,TRUE,U,M,2/14/1942 0:00,Bloomberg,Michael,CEO,4/4/2023 5:01,New York,Northeast,1942,2,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +8,93000,Telecom,Carlos Slim Helu & family,83,Mexico,Mexico City,Telecom,Telecom,Mexico,América Móvil,TRUE,U,M,1/28/1940 0:00,Slim Helu,Carlos,Honorary Chairman,4/4/2023 5:01,,,1940,1,28,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +9,83400,Diversified,Mukesh Ambani,65,India,Mumbai,Diversified,Diversified,India,Reliance Industries,FALSE,D,M,4/19/1957 0:00,Ambani,Mukesh,Founder and Chairman,4/4/2023 5:01,,,1957,4,19,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +10,80700,Technology,Steve Ballmer,67,United States,Hunts Point,Microsoft,Technology,United States,Los Angeles Clippers,TRUE,D,M,3/24/1956 0:00,Ballmer,Steve,Owner,4/4/2023 5:01,Washington,West,1956,3,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +11,80500,Fashion & Retail,Francoise Bettencourt Meyers & family,69,France,Paris,L'Oréal,Fashion & Retail,France,,FALSE,U,F,7/10/1953 0:00,Bettencourt Meyers,Francoise,,4/4/2023 5:01,,,1953,7,10,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +12,79200,Technology,Larry Page,50,United States,Palo Alto,Google,Technology,United States,Alphabet,TRUE,D,M,3/26/1973 0:00,Page,Larry,Cofounder and board member,4/4/2023 5:01,California,West,1973,3,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +13,77300,Fashion & Retail,Amancio Ortega,87,Spain,La Coruna,Zara,Fashion & Retail,Spain,,TRUE,U,M,3/28/1936 0:00,Ortega,Amancio,,4/4/2023 5:01,,,1936,3,28,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +14,76000,Technology,Sergey Brin,49,United States,Los Altos,Google,Technology,United States,Alphabet,TRUE,D,M,8/21/1973 0:00,Brin,Sergey,Cofounder and board member,4/4/2023 5:01,California,West,1973,8,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +15,68000,Food & Beverage,Zhong Shanshan,68,China,Hangzhou,"Beverages, pharmaceuticals",Food & Beverage,China,,TRUE,U,M,12/1/1954 0:00,Zhong,Shanshan,,4/4/2023 5:01,,,1954,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +16,64400,Technology,Mark Zuckerberg,38,United States,Palo Alto,Facebook,Technology,United States,Meta Platforms,TRUE,D,M,5/14/1984 0:00,Zuckerberg,Mark,Cofounder,4/4/2023 5:01,California,West,1984,5,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +17,59000,Diversified,Charles Koch & family,87,United States,Wichita,Koch Industries,Diversified,United States,"Koch Industries, Inc.",FALSE,D,M,11/1/1935 0:00,Koch,Charles,Chairman and CEO,4/4/2023 5:01,Kansas,Midwest,1935,11,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +17,59000,Diversified,Julia Koch & family,60,United States,New York,Koch Industries,Diversified,United States,,FALSE,D,F,4/12/1962 0:00,Koch,Julia,,4/4/2023 5:01,New York,Northeast,1962,4,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +19,58800,Fashion & Retail,Jim Walton,74,United States,Bentonville,Walmart,Fashion & Retail,United States,"Arvest Bank Group, Inc.",FALSE,D,M,6/7/1948 0:00,Walton,Jim,Chairman and CEO,4/4/2023 5:01,Arkansas,South,1948,6,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +20,57600,Fashion & Retail,Rob Walton & family,78,United States,Bentonville,Walmart,Fashion & Retail,United States,Walmart,FALSE,D,M,10/27/1944 0:00,Walton,Rob,Director,4/4/2023 5:01,Arkansas,South,1944,10,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +21,56700,Fashion & Retail,Alice Walton,73,United States,Fort Worth,Walmart,Fashion & Retail,United States,Crystal Bridges Museum of American Art,FALSE,D,F,10/7/1949 0:00,Walton,Alice,Philanthropist,4/4/2023 5:01,Texas,South,1949,10,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +22,54400,Media & Entertainment,David Thomson & family,65,Canada,Toronto,Media,Media & Entertainment,Canada,Thomson Reuters Corporation,FALSE,U,M,6/12/1957 0:00,Thomson,David,Chairman,4/4/2023 5:01,,,1957,6,12,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +23,50100,Technology,Michael Dell,58,United States,Austin,Dell Technologies,Technology,United States,Dell Inc.,TRUE,D,M,2/23/1965 0:00,Dell,Michael,Chairman and CEO,4/4/2023 5:01,Texas,South,1965,2,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +24,47200,Diversified,Gautam Adani,60,India,Ahmedabad,"Infrastructure, commodities",Diversified,India,,TRUE,D,M,6/24/1962 0:00,Adani,Gautam,,4/4/2023 5:01,,,1962,6,24,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +25,45100,Fashion & Retail,Phil Knight & family,85,United States,Hillsboro,Nike,Fashion & Retail,United States,Nike,TRUE,D,M,2/24/1938 0:00,Knight,Phil,Chairman,4/4/2023 5:01,Oregon,West,1938,2,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +26,45000,Technology,Zhang Yiming,39,China,Beijing,TikTok,Technology,China,ByteDance,TRUE,D,M,1/1/1984 0:00,Zhang,Yiming,Founder,4/4/2023 5:01,,,1984,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +27,42900,Fashion & Retail,Dieter Schwarz,83,Germany,Neckarsulm,Retail,Fashion & Retail,Germany,,FALSE,D,M,9/24/1939 0:00,Schwarz,Dieter,,4/4/2023 5:01,,,1939,9,24,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +28,40100,Fashion & Retail,François Pinault & family,86,France,Paris,Luxury goods,Fashion & Retail,France,,TRUE,D,M,8/21/1936 0:00,Pinault,François,,4/4/2023 5:01,,,1936,8,21,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +29,39100,Logistics,Klaus-Michael Kuehne,85,Switzerland,Schindellegi,Shipping,Logistics,Germany,,FALSE,U,M,6/2/1937 0:00,Kuehne,Klaus-Michael,,4/4/2023 5:01,,,1937,6,2,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +30,38900,Food & Beverage,Giovanni Ferrero,58,Belgium,Brussels,"Nutella, chocolates",Food & Beverage,Italy,,FALSE,U,M,9/21/1964 0:00,Ferrero,Giovanni,,4/4/2023 5:01,,,1964,9,21,117.11,1.4,"$529,606,710,418 ",79.7,103.9,81.6,24,55.4,11484055,50.503887,4.469936 +31,38300,Food & Beverage,Jacqueline Mars,83,United States,The Plains,"Candy, pet food",Food & Beverage,United States,,FALSE,U,F,10/10/1939 0:00,Mars,Jacqueline,,4/4/2023 5:01,Virginia,South,1939,10,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +31,38300,Food & Beverage,John Mars,87,United States,Jackson,"Candy, pet food",Food & Beverage,United States,,FALSE,U,M,10/15/1935 0:00,Mars,John,,4/4/2023 5:01,Wyoming,South,1935,10,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +33,38000,Diversified,Li Ka-shing,94,Hong Kong,,Diversified,Diversified,Hong Kong,CK Hutchison Holdings,TRUE,U,M,6/13/1928 0:00,Li,Ka-shing,Senior Advisor,4/4/2023 5:01,,,1928,6,13,,,,,,,,,,, +34,35300,Technology,Ma Huateng,51,China,Shenzhen,Internet media,Technology,China,Tencent Holdings,TRUE,D,M,10/29/1971 0:00,Ma,Huateng,Chairman and CEO,4/4/2023 5:01,,,1971,10,29,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +35,35000,Gambling & Casinos,Miriam Adelson & family,77,United States,Las Vegas,Casinos,Gambling & Casinos,United States,,FALSE,U,F,10/10/1945 0:00,Adelson,Miriam,,4/4/2023 5:01,Nevada,West,1945,10,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +35,35000,Finance & Investments,Ken Griffin,54,United States,Miami,Hedge funds,Finance & Investments,United States,Citadel LLC,TRUE,U,M,10/15/1968 0:00,Griffin,Ken,Founder & CEO,4/4/2023 5:01,Florida,South,1968,10,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +37,34700,Food & Beverage,Mark Mateschitz,30,Austria,Salzburg,Red Bull,Food & Beverage,Austria,,FALSE,N,M,5/7/1992 0:00,Mateschitz,Mark,,4/4/2023 5:01,,,1992,5,7,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +38,33400,Automotive,Robin Zeng,54,China,Ningde,Batteries,Automotive,Hong Kong,,TRUE,D,M,1/1/1969 0:00,Zeng,Robin,,4/4/2023 5:01,,,1969,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +39,32600,Fashion & Retail,Tadashi Yanai & family,74,Japan,Tokyo,Fashion retail,Fashion & Retail,Japan,,TRUE,U,M,2/7/1949 0:00,Yanai,Tadashi,,4/4/2023 5:01,,,1949,2,7,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +40,32100,Diversified,Len Blavatnik,65,United Kingdom,London,"Music, chemicals",Diversified,United States,,TRUE,D,M,6/1/1957 0:00,Blavatnik,Len,,4/4/2023 5:01,,,1957,6,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +41,31600,Fashion & Retail,Alain Wertheimer,74,United States,New York,Chanel,Fashion & Retail,France,,FALSE,U,M,8/28/1948 0:00,Wertheimer,Alain,,4/4/2023 5:01,New York,Northeast,1948,8,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +41,31600,Fashion & Retail,Gerard Wertheimer,72,United States,New York,Chanel,Fashion & Retail,France,,FALSE,U,M,1/9/1951 0:00,Wertheimer,Gerard,,4/4/2023 5:01,New York,Northeast,1951,1,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +43,31200,Logistics,Gianluigi Aponte,82,Switzerland,Geneva,Shipping,Logistics,Switzerland,,TRUE,Split Family Fortune,M,6/27/1940 0:00,Aponte,Gianluigi,,4/4/2023 5:01,,,1940,6,27,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +43,31200,Logistics,Rafaela Aponte-Diamant,78,Switzerland,Geneva,Shipping,Logistics,Switzerland,,TRUE,Split Family Fortune,F,3/26/1945 0:00,Aponte-Diamant,Rafaela,,4/4/2023 5:01,,,1945,3,26,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +45,30200,Technology,Colin Zheng Huang,43,China,Shanghai,E-commerce,Technology,China,,TRUE,U,M,2/2/1980 0:00,Huang,Colin Zheng,,4/4/2023 5:01,,,1980,2,2,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +46,29700,Manufacturing,Reinhold Wuerth & family,87,Germany,Kuenzelsau,Fasteners,Manufacturing,Germany,,TRUE,U,M,4/20/1935 0:00,Wuerth,Reinhold,,4/4/2023 5:01,,,1935,4,20,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +47,29500,Real Estate,Lee Shau Kee,95,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,TRUE,D,M,1/29/1928 0:00,Lee,Shau Kee,,4/4/2023 5:01,,,1928,1,29,,,,,,,,,,, +48,28500,Finance & Investments,Jeff Yass,64,United States,Haverford,"Trading, investments",Finance & Investments,United States,,TRUE,U,M,7/17/1958 0:00,Yass,Jeff,,4/4/2023 5:01,Pennsylvania,Northeast,1958,7,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +49,28100,Finance & Investments,Jim Simons,84,United States,East Setauket,Hedge funds,Finance & Investments,United States,Renaissance Technologies Corp.,TRUE,D,M,4/25/1938 0:00,Simons,Jim,Founder,4/4/2023 5:01,New York,Northeast,1938,4,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +50,27800,Finance & Investments,Stephen Schwarzman,76,United States,New York,Investments,Finance & Investments,United States,Blackstone Group,TRUE,D,M,2/14/1947 0:00,Schwarzman,Stephen,Chairman and CEO,4/4/2023 5:01,New York,Northeast,1947,2,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +51,27400,Automotive,Susanne Klatten,60,Germany,Bad Homburg,"BMW, pharmaceuticals",Automotive,Germany,,FALSE,U,F,4/28/1962 0:00,Klatten,Susanne,,4/4/2023 5:01,,,1962,4,28,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +52,27000,Metals & Mining,Gina Rinehart,69,Australia,Perth,Mining,Metals & Mining,Australia,Hancock Prospecting,FALSE,D,F,2/9/1954 0:00,Rinehart,Gina,Executive Chairman,4/4/2023 5:01,,,1954,2,9,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +53,26700,Technology,William Ding,51,China,Hangzhou,Online games,Technology,China,,TRUE,U,M,10/1/1971 0:00,Ding,William,,4/4/2023 5:01,,,1971,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +54,26600,Metals & Mining,Germán Larrea Mota Velasco & family,69,Mexico,Mexico City,Mining,Metals & Mining,Mexico,,FALSE,D,M,10/26/1953 0:00,Larrea Mota Velasco,Germán,,4/4/2023 5:01,,,1953,10,26,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +55,25600,Technology,Shiv Nadar,77,India,Delhi,software services,Technology,India,,TRUE,D,M,7/18/1945 0:00,Nadar,Shiv,,4/4/2023 5:01,,,1945,7,18,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +56,25500,Energy,Low Tuck Kwong,74,Indonesia,Jakarta,Coal,Energy,Indonesia,,TRUE,U,M,4/17/1948 0:00,Low Tuck,Kwong,,4/4/2023 5:01,,,1948,4,17,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +57,25300,Finance & Investments,Thomas Peterffy,78,United States,Palm Beach,Discount brokerage,Finance & Investments,United States,,TRUE,U,M,9/30/1944 0:00,Peterffy,Thomas,,4/4/2023 5:01,Florida,South,1944,9,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +58,25200,Metals & Mining,Andrey Melnichenko & family,51,United Arab Emirates,Ras Al Khaimah,"Fertilizers, coal",Metals & Mining,Russia,,TRUE,U,M,3/8/1972 0:00,Melnichenko,Andrey,,4/4/2023 5:01,,,1972,3,8,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +59,24600,Automotive,Stefan Quandt,56,Germany,Frankfurt,BMW,Automotive,Germany,,FALSE,U,M,5/9/1966 0:00,Quandt,Stefan,,4/4/2023 5:01,,,1966,5,9,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +60,24400,Technology,MacKenzie Scott,52,United States,Seattle,Amazon,Technology,United States,,FALSE,D,F,4/7/1970 0:00,Scott,MacKenzie,Philanthropist,4/4/2023 5:01,Washington,West,1970,4,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +61,24200,Finance & Investments,R. Budi Hartono,82,Indonesia,Kudus,"Banking, tobacco",Finance & Investments,Indonesia,,FALSE,U,M,1/1/1941 0:00,Hartono,R. Budi,,4/4/2023 5:01,,,1941,1,1,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +62,23700,Metals & Mining,Vladimir Potanin,62,Russia,Moscow,Metals,Metals & Mining,Russia,,TRUE,U,M,1/3/1961 0:00,Potanin,Vladimir,,4/4/2023 5:01,,,1961,1,3,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +63,23500,Technology,Jack Ma,58,China,Hangzhou,E-commerce,Technology,China,,TRUE,U,M,9/10/1964 0:00,Ma,Jack,,4/4/2023 5:01,,,1964,9,10,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +64,23400,Manufacturing,He Xiangjian & family,80,China,Foshan,Home appliances,Manufacturing,China,,TRUE,D,M,8/11/1942 0:00,He,Xiangjian,,4/4/2023 5:01,,,1942,8,11,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +65,23100,Metals & Mining,Iris Fontbona & family,80,Chile,Santiago,Mining,Metals & Mining,Chile,,FALSE,U,F,1/1/1943 0:00,Fontbona,Iris,,4/4/2023 5:01,,,1943,1,1,131.91,2.6,"$282,318,159,745 ",88.5,101.4,80,18.2,34,18952038,-35.675147,-71.542969 +65,23100,Manufacturing,Michael Hartono,83,Indonesia,Kudus,"Banking, tobacco",Manufacturing,Indonesia,,FALSE,U,M,10/2/1939 0:00,Hartono,Michael,,4/4/2023 5:01,,,1939,10,2,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +67,22900,Manufacturing,James Ratcliffe,70,United Kingdom,London,Chemicals,Manufacturing,United Kingdom,,TRUE,U,M,1/1/1953 0:00,Ratcliffe,James,,4/4/2023 5:01,,,1953,1,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +68,22600,Healthcare,Cyrus Poonawalla,81,India,Pune,Vaccines,Healthcare,India,,FALSE,D,M,5/11/1941 0:00,Poonawalla,Cyrus,,4/4/2023 5:01,,,1941,5,11,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +69,22400,Telecom,Masayoshi Son,65,Japan,Tokyo,"Internet, telecom",Telecom,Japan,SoftBank Group Corp.,TRUE,U,M,8/11/1957 0:00,Son,Masayoshi,CEO,4/4/2023 5:01,,,1957,8,11,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +70,22100,Metals & Mining,Vladimir Lisin,66,Russia,Moscow,"Steel, transport",Metals & Mining,Russia,,TRUE,U,M,5/7/1956 0:00,Lisin,Vladimir,,4/4/2023 5:01,,,1956,5,7,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +71,22000,Food & Beverage,Emmanuel Besnier,52,France,Laval,Cheese,Food & Beverage,France,,FALSE,D,M,9/18/1970 0:00,Besnier,Emmanuel,,4/4/2023 5:01,,,1970,9,18,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +72,21600,Finance & Investments,Abigail Johnson,61,United States,Milton,Fidelity,Finance & Investments,United States,Fidelity Investments,FALSE,U,F,12/19/1961 0:00,Johnson,Abigail,CEO,4/4/2023 5:01,Massachusetts,Northeast,1961,12,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +72,21600,Energy,Leonid Mikhelson & family,67,Russia,Moscow,"Gas, chemicals",Energy,Russia,,TRUE,U,M,8/11/1955 0:00,Mikhelson,Leonid,,4/4/2023 5:01,,,1955,8,11,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +74,21200,Fashion & Retail,Lukas Walton,36,United States,Chicago,Walmart,Fashion & Retail,United States,,FALSE,U,M,9/19/1986 0:00,Walton,Lukas,,4/4/2023 5:01,Illinois,Midwest,1986,9,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +74,21200,Service,Wang Wei,52,China,Shenzhen,Package delivery,Service,China,,TRUE,D,M,10/1/1970 0:00,Wang,Wei,,4/4/2023 5:01,,,1970,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +76,21100,Technology,Jensen Huang,60,United States,Los Altos,Semiconductors,Technology,United States,Nvidia,TRUE,U,M,2/17/1963 0:00,Huang,Jensen,CEO & President,4/4/2023 5:01,California,West,1963,2,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +77,21000,Fashion & Retail,Leonard Lauder,90,United States,New York,Estee Lauder,Fashion & Retail,United States,The Estée Lauder Companies,FALSE,D,M,3/19/1933 0:00,Lauder,Leonard,Chairman Emeritus,4/4/2023 5:01,New York,Northeast,1933,3,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +77,21000,Manufacturing,Takemitsu Takizaki,77,Japan,Osaka,Sensors,Manufacturing,Japan,,TRUE,D,M,6/10/1945 0:00,Takizaki,Takemitsu,,4/4/2023 5:01,,,1945,6,10,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +79,20900,Metals & Mining,Alexey Mordashov & family,57,Russia,Moscow,"Steel, investments",Metals & Mining,Russia,,TRUE,U,M,9/26/1965 0:00,Mordashov,Alexey,,4/4/2023 5:01,,,1965,9,26,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +80,20500,Energy,Vagit Alekperov,72,Russia,Moscow,Oil,Energy,Russia,,TRUE,U,M,9/1/1950 0:00,Alekperov,Vagit,,4/4/2023 5:01,,,1950,9,1,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +81,20200,Healthcare,"Thomas Frist, Jr. & family",84,United States,Nashville,Hospitals,Healthcare,United States,,TRUE,D,M,8/12/1938 0:00,Frist,Thomas,,4/4/2023 5:01,Tennessee,South,1938,8,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +82,19600,Metals & Mining,Andrew Forrest,61,Australia,Perth,Mining,Metals & Mining,Australia,,TRUE,U,M,11/18/1961 0:00,Forrest,Andrew,,4/4/2023 5:01,,,1961,11,18,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +83,19100,Finance & Investments,Ray Dalio,73,United States,Greenwich,Hedge funds,Finance & Investments,United States,Bridgewater Associates,TRUE,D,M,8/8/1949 0:00,Dalio,Ray,Founder & Co-Chief Investment Officer,4/4/2023 5:01,Connecticut,Northeast,1949,8,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +84,19000,Automotive,Eric Li,59,China,Hangzhou,Automobiles,Automotive,China,,TRUE,D,M,6/1/1963 0:00,Li,Eric,,4/4/2023 5:01,,,1963,6,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +84,19000,Metals & Mining,Wang Wenyin,55,China,Shenzhen,"Mining, copper products",Metals & Mining,China,,TRUE,U,M,3/1/1968 0:00,Wang,Wenyin,,4/4/2023 5:01,,,1968,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +86,18900,Diversified,Eyal Ofer,72,Monaco,Monte Carlo,"Real estate, shipping",Diversified,Israel,,FALSE,U,M,6/2/1950 0:00,Ofer,Eyal,,4/4/2023 5:01,,,1950,6,2,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +86,18900,Food & Beverage,Qin Yinglin,57,China,Nanyang,Pig breeding,Food & Beverage,China,,TRUE,D,M,4/17/1965 0:00,Qin,Yinglin,,4/4/2023 5:01,,,1965,4,17,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +88,18700,Automotive,Wang Chuanfu,57,China,Shenzhen,"Batteries, automobiles",Automotive,China,,TRUE,D,M,2/15/1966 0:00,Wang,Chuanfu,,4/4/2023 5:01,,,1966,2,15,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +89,18500,Energy,Harold Hamm & family,77,United States,Oklahoma City,Oil & gas,Energy,United States,Continental Resources Inc. ,TRUE,U,M,12/11/1945 0:00,Hamm,Harold,Chairman and CEO,4/4/2023 5:01,Oklahoma,South,1945,12,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +89,18500,Finance & Investments,David Tepper,65,United States,Palm Beach,Hedge funds,Finance & Investments,United States,Appaloosa Management,TRUE,U,M,9/11/1957 0:00,Tepper,David,President and Founder,4/4/2023 5:01,Florida,South,1957,9,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +89,18500,Energy,Gennady Timchenko,70,Russia,Moscow,"Oil, gas",Energy,Russia,,TRUE,U,M,11/9/1952 0:00,Timchenko,Gennady,,4/4/2023 5:01,,,1952,11,9,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +92,18000,Finance & Investments,Daniel Gilbert,61,United States,Franklin,Quicken Loans,Finance & Investments,United States,,TRUE,D,M,1/17/1962 0:00,Gilbert,Daniel,,4/4/2023 5:01,Michigan,Midwest,1962,1,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +93,17700,Metals & Mining,Lakshmi Mittal,72,United Kingdom,London,Steel,Metals & Mining,India,ArcelorMittal (ADR),FALSE,D,M,6/15/1950 0:00,Mittal,Lakshmi,Chairman and CEO,4/4/2023 5:01,,,1950,6,15,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +94,17500,Finance & Investments,Steve Cohen,66,United States,Greenwich,Hedge funds,Finance & Investments,United States,Point72 Asset Management,TRUE,U,M,6/11/1956 0:00,Cohen,Steve,Founder,4/4/2023 5:01,Connecticut,Northeast,1956,6,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +94,17500,Finance & Investments,Carl Icahn,87,United States,Indian Creek,Investments,Finance & Investments,United States,Icahn Capital Management,TRUE,U,M,2/16/1936 0:00,Icahn,Carl,Founder,4/4/2023 5:01,Florida,South,1936,2,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +94,17500,Metals & Mining,Savitri Jindal & family,73,India,Hisar,Steel,Metals & Mining,India,,FALSE,D,F,3/20/1950 0:00,Jindal,Savitri,,4/4/2023 5:01,,,1950,3,20,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +97,17400,Real Estate,Donald Bren,90,United States,Newport Beach,Real estate,Real Estate,United States,Irvine Company,TRUE,U,M,5/11/1932 0:00,Bren,Donald,Chairman,4/4/2023 5:01,California,West,1932,5,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +97,17400,Fashion & Retail,"John Menard, Jr.",83,United States,Eau Claire,Home improvement stores,Fashion & Retail,United States,"Menard, Inc.",TRUE,U,M,1/22/1940 0:00,Menard,John,Founder,4/4/2023 5:01,Wisconsin,Midwest,1940,1,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +99,17100,Media & Entertainment,Rupert Murdoch & family,92,United States,New York,"Newspapers, TV network",Media & Entertainment,United States,News Corp Class A,FALSE,D,M,3/11/1931 0:00,Murdoch,Rupert,Chairman and CEO,4/4/2023 5:01,New York,Northeast,1931,3,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +100,16700,Finance & Investments,Vicky Safra & family,70,Switzerland,Crans-Montana,Banking,Finance & Investments,Brazil,,FALSE,U,F,1/1/1953 0:00,Safra,Vicky,,4/4/2023 5:01,,,1953,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +101,16500,Fashion & Retail,"Theo Albrecht, Jr. & family",72,Germany,Mulheim an der Ruhr,"Aldi, Trader Joe's",Fashion & Retail,Germany,,FALSE,D,M,1/1/1951 0:00,Albrecht,Theo,,4/4/2023 5:01,,,1951,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +101,16500,Finance & Investments,Renata Kellnerova & family,55,Czech Republic,Prague,"Finance, telecommunications",Finance & Investments,Czech Republic,,FALSE,D,F,7/4/1967 0:00,Kellnerova,Renata,,4/4/2023 5:01,,,1967,7,4,116.48,2.8,"$246,489,245,495 ",64.1,100.7,79,14.9,46.1,10669709,49.817492,15.472962 +103,16300,Healthcare,Li Xiting,72,China,Shenzhen,medical devices,Healthcare,Singapore,,TRUE,D,M,1/1/1951 0:00,Li,Xiting,,4/4/2023 5:01,,,1951,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +104,16200,Fashion & Retail,Stefan Persson,75,Sweden,Stockholm,H&M,Fashion & Retail,Sweden,Hennes & Mauritz Unsponsored ADR,FALSE,D,M,10/4/1947 0:00,Persson,Stefan,Chairman,4/4/2023 5:01,,,1947,10,4,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +104,16200,Technology,Eric Schmidt,67,United States,Atherton,Google,Technology,United States,,TRUE,D,M,4/27/1955 0:00,Schmidt,Eric,,4/4/2023 5:01,California,West,1955,4,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +106,16000,Finance & Investments,Michael Platt,55,Switzerland,Geneva,Hedge funds,Finance & Investments,United Kingdom,BlueCrest Capital Management,TRUE,U,M,3/18/1968 0:00,Platt,Michael,Founder ,4/4/2023 5:01,,,1968,3,18,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +107,15900,Food & Beverage,Pang Kang,67,China,Foshan,Soy sauce,Food & Beverage,China,,TRUE,D,M,1/19/1956 0:00,Pang,Kang,,4/4/2023 5:01,,,1956,1,19,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +108,15800,Fashion & Retail,Karl Albrecht Jr. & family,,Germany,,Supermarkets,Fashion & Retail,Germany,,FALSE,Split Family Fortune,M,,Albrecht Jr.,Karl,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +108,15800,Fashion & Retail,Beate Heister,,,,Supermarkets,Fashion & Retail,Germany,,FALSE,Split Family Fortune,F,,Heister,Beate,,4/4/2023 5:01,,,,,,,,,,,,,,,, +108,15800,Food & Beverage,Jorge Paulo Lemann & family,83,Switzerland,Zurich,Beer,Food & Beverage,Brazil,,TRUE,U,M,8/26/1939 0:00,Lemann,Jorge Paulo,"Investor, Philanthropist",4/4/2023 5:01,,,1939,8,26,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +108,15800,Real Estate,Peter Woo,76,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,D,M,9/5/1946 0:00,Woo,Peter,,4/4/2023 5:01,,,1946,9,5,,,,,,,,,,, +112,15600,Healthcare,Dilip Shanghvi,67,India,Mumbai,Pharmaceuticals,Healthcare,India,,TRUE,E,M,10/1/1955 0:00,Shanghvi,Dilip,,4/4/2023 5:01,,,1955,10,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +113,15500,Technology,Robert Pera,45,United States,San Jose,Wireless networking,Technology,United States,Ubiquiti,TRUE,U,M,3/10/1978 0:00,Pera,Robert,Chief Executive Officer,4/4/2023 5:01,California,West,1978,3,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +114,15300,Fashion & Retail,Radhakishan Damani,68,India,Mumbai,"Retail, investments",Fashion & Retail,India,,TRUE,D,M,1/1/1955 0:00,Damani,Radhakishan,,4/4/2023 5:01,,,1955,1,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +115,15200,Automotive,Huang Shilin,56,China,Ningde,Batteries,Automotive,China,,TRUE,D,M,1/1/1967 0:00,Huang,Shilin,,4/4/2023 5:01,,,1967,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +116,14900,Diversified,Dhanin Chearavanont,83,Thailand,Bangkok,Diversified,Diversified,Thailand,,FALSE,U,M,4/19/1939 0:00,Chearavanont,Dhanin,,4/4/2023 5:01,,,1939,4,19,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +116,14900,Fashion & Retail,David Green & family,81,United States,Oklahoma City,Retail,Fashion & Retail,United States,Hobby Lobby,TRUE,U,M,11/13/1941 0:00,Green,David,CEO,4/4/2023 5:01,Oklahoma,South,1941,11,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +118,14800,Food & Beverage,Charoen Sirivadhanabhakdi,78,Thailand,Bangkok,"Alcohol, real estate",Food & Beverage,Thailand,,TRUE,U,M,5/2/1944 0:00,Sirivadhanabhakdi,Charoen,,4/4/2023 5:01,,,1944,5,2,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +119,14700,Food & Beverage,Charlene de Carvalho-Heineken & family,68,United Kingdom,London,Heineken,Food & Beverage,Netherlands,,FALSE,D,F,6/30/1954 0:00,de Carvalho-Heineken,Charlene,,4/4/2023 5:01,,,1954,6,30,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +120,14600,Healthcare,Xu Hang,60,China,Shenzhen,Medical devices,Healthcare,Hong Kong,,TRUE,D,M,5/22/1962 0:00,Xu,Hang,,4/4/2023 5:01,,,1962,5,22,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +121,14500,Automotive,Wei Jianjun & family,59,China,Baoding,Automobiles,Automotive,China,,TRUE,D,M,3/1/1964 0:00,Wei,Jianjun,,4/4/2023 5:01,,,1964,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +122,14400,Metals & Mining,Alisher Usmanov,69,Uzbekistan,Tashkent,"Steel, telecom, investments",Metals & Mining,Russia,Metalloinvest,TRUE,U,M,9/9/1953 0:00,Usmanov,Alisher,Founder,4/4/2023 5:01,,,1953,9,9,,,"$57,921,286,440 ",10.1,104.2,71.6,14.8,31.6,33580650,41.377491,64.585262 +123,14300,Manufacturing,Goh Cheng Liang,95,Singapore,Singapore,Paints,Manufacturing,Singapore,,TRUE,U,M,6/27/1927 0:00,Goh,Cheng Liang,,4/4/2023 5:01,,,1927,6,27,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +124,14200,Diversified,Kumar Birla,55,India,Mumbai,Commodities,Diversified,India,,FALSE,D,M,6/14/1967 0:00,Birla,Kumar,,4/4/2023 5:01,,,1967,6,14,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +124,14200,Manufacturing,Aliko Dangote,65,Nigeria,Lagos,"Cement, sugar",Manufacturing,Nigeria,Dangote Group,TRUE,U,M,4/10/1957 0:00,Dangote,Aliko,CEO,4/4/2023 5:01,,,1957,4,10,267.51,11.4,"$448,120,428,859 ",10.2,84.7,54.3,1.5,34.8,200963599,9.081999,8.675277 +126,14100,Real Estate,Kwong Siu-hing,93,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,U,F,12/2/1929 0:00,Kwong,Siu-hing,,4/4/2023 5:01,,,1929,12,2,,,,,,,,,,, +127,14000,Diversified,Idan Ofer,67,United Kingdom,London,Shipping,Diversified,Israel,,FALSE,U,M,10/2/1955 0:00,Ofer,Idan,,4/4/2023 5:01,,,1955,10,2,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +128,13900,Healthcare,Chen Bang,57,China,Changsha,Hospitals,Healthcare,China,,TRUE,U,M,9/1/1965 0:00,Chen,Bang,,4/4/2023 5:01,,,1965,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +128,13900,Gambling & Casinos,Lui Che Woo,94,Hong Kong,Hong Kong,Casinos/hotels,Gambling & Casinos,Hong Kong,,TRUE,U,M,4/1/1929 0:00,Lui,Che Woo,,4/4/2023 5:01,,,1929,4,1,,,,,,,,,,, +130,13700,Logistics,John Fredriksen,78,United Kingdom,London,Shipping,Logistics,Cyprus,,TRUE,U,M,2/1/1945 0:00,Fredriksen,John,Investor,4/4/2023 5:01,,,1945,2,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +130,13700,Construction & Engineering,Diane Hendricks,76,United States,Afton,Building supplies,Construction & Engineering,United States,ABC Supply,TRUE,U,F,3/2/1947 0:00,Hendricks,Diane,Cofounder,4/4/2023 5:01,Wisconsin,Midwest,1947,3,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +130,13700,Technology,Jan Koum,47,United States,Atherton,WhatsApp,Technology,United States,WhatsApp Inc.,TRUE,U,M,2/24/1976 0:00,Koum,Jan,"CEO, cofounder",4/4/2023 5:01,California,West,1976,2,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +133,13300,Sports,Jerry Jones,80,United States,Dallas,Dallas Cowboys,Sports,United States,Dallas Cowboys,TRUE,U,M,10/13/1942 0:00,Jones,Jerry,President and General Manager,4/4/2023 5:01,Texas,South,1942,10,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +133,13300,Energy,George Kaiser,80,United States,Tulsa,"Oil & gas, banking",Energy,United States,BOK Financial Corp.,FALSE,U,M,7/29/1942 0:00,Kaiser,George,Chairman,4/4/2023 5:01,Oklahoma,South,1942,7,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +133,13300,Real Estate,Joseph Lau,71,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,TRUE,D,M,7/21/1951 0:00,Lau,Joseph,,4/4/2023 5:01,,,1951,7,21,,,,,,,,,,, +136,13200,Automotive,Lu Xiangyang,60,China,Guangzhou,"Automobiles, batteries",Automotive,China,,TRUE,D,M,12/28/1962 0:00,Lu,Xiangyang,,4/4/2023 5:01,,,1962,12,28,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +137,13100,Real Estate,Harry Triguboff,90,Australia,Sydney,Real estate,Real Estate,Australia,,TRUE,U,M,3/3/1933 0:00,Triguboff,Harry,,4/4/2023 5:01,,,1933,3,3,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +138,12900,Finance & Investments,Uday Kotak,64,India,Mumbai,Banking,Finance & Investments,India,,TRUE,D,M,3/15/1959 0:00,Kotak,Uday,,4/4/2023 5:01,,,1959,3,15,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +138,12900,Sports,Stanley Kroenke,75,United States,Electra,"Sports, real estate",Sports,United States,,TRUE,U,M,7/29/1947 0:00,Kroenke,Stanley,,4/4/2023 5:01,Texas,South,1947,7,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +140,12600,Energy,Mikhail Fridman,58,United Kingdom,London,"Oil, banking, telecom",Energy,Russia,,TRUE,U,M,4/21/1964 0:00,Fridman,Mikhail,,4/4/2023 5:01,,,1964,4,21,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +141,12300,Energy,Sarath Ratanavadi,57,Thailand,Bangkok,Energy,Energy,Thailand,,TRUE,U,M,7/12/1965 0:00,Ratanavadi,Sarath,,4/4/2023 5:01,,,1965,7,12,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +142,12200,Metals & Mining,Dang Yanbao,50,China,Yinchuan,Coal,Metals & Mining,China,,TRUE,D,M,2/1/1973 0:00,Dang,Yanbao,,4/4/2023 5:01,,,1973,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +142,12200,Healthcare,Jiang Rensheng & family,69,China,Chongqing,Vaccines,Healthcare,China,,TRUE,D,M,10/8/1953 0:00,Jiang,Rensheng,,4/4/2023 5:01,,,1953,10,8,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +144,12100,Automotive,Shahid Khan,72,United States,Naples,Auto parts,Automotive,United States,,TRUE,U,M,7/18/1950 0:00,Khan,Shahid,,4/4/2023 5:01,Florida,South,1950,7,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +145,12000,Technology,Laurene Powell Jobs & family,59,United States,Palo Alto,"Apple, Disney",Technology,United States,Emerson Collective,FALSE,D,F,11/6/1963 0:00,Powell Jobs,Laurene,"Investor, Philanthropist",4/4/2023 5:01,California,West,1963,11,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +146,11800,Diversified,Robert Kuok,99,Hong Kong,Hong Kong,"Palm oil, shipping, property",Diversified,Malaysia,,TRUE,U,M,10/6/1923 0:00,Kuok,Robert,,4/4/2023 5:01,,,1923,10,6,,,,,,,,,,, +147,11600,Real Estate,Stephen Ross,82,United States,New York,Real estate,Real Estate,United States,,TRUE,U,M,5/10/1940 0:00,Ross,Stephen,,4/4/2023 5:01,New York,Northeast,1940,5,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +148,11500,Technology,Pavel Durov,38,United Arab Emirates,Dubai,Messaging app,Technology,United Arab Emirates,,TRUE,D,M,10/10/1984 0:00,Durov,Pavel,,4/4/2023 5:01,,,1984,10,10,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +148,11500,Healthcare,Andreas Struengmann & family,73,Germany,Tegernsee,Pharmaceuticals,Healthcare,Germany,,TRUE,D,M,2/16/1950 0:00,Struengmann,Andreas,,4/4/2023 5:01,,,1950,2,16,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +148,11500,Healthcare,Thomas Struengmann & family,73,Germany,Tegernsee,Pharmaceuticals,Healthcare,Germany,,TRUE,D,M,2/16/1950 0:00,Struengmann,Thomas,,4/4/2023 5:01,,,1950,2,16,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +151,11400,Food & Beverage,Liu Hanyuan,59,China,Chengdu,Agribusiness,Food & Beverage,China,,TRUE,D,M,1/1/1964 0:00,Liu,Hanyuan,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +151,11400,Fashion & Retail,Michael Rubin,50,United States,Bryn Mawr,Online retail,Fashion & Retail,United States,Kynetic,TRUE,U,M,7/21/1972 0:00,Rubin,Michael,CEO,4/4/2023 5:01,Pennsylvania,Northeast,1972,7,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +153,11300,Finance & Investments,Israel Englander,74,United States,New York,Hedge funds,Finance & Investments,United States,"Millennium Management, L.L.C.",TRUE,D,M,9/30/1948 0:00,Englander,Israel,Founder,4/4/2023 5:01,New York,Northeast,1948,9,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +153,11300,Manufacturing,Viatcheslav Kantor,69,Israel,Herzliya,"Fertilizer, real estate",Manufacturing,Russia,,TRUE,U,M,9/8/1953 0:00,Kantor,Viatcheslav,,4/4/2023 5:01,,,1953,9,8,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +153,11300,Manufacturing,Anthony Pratt,62,Australia,Melbourne,Manufacturing,Manufacturing,Australia,,FALSE,D,M,4/11/1960 0:00,Pratt,Anthony,,4/4/2023 5:01,,,1960,4,11,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +153,11300,Finance & Investments,Mikhail Prokhorov,57,Switzerland,Frauenfeld,Investments,Finance & Investments,Russia,,TRUE,U,M,5/3/1965 0:00,Prokhorov,Mikhail,,4/4/2023 5:01,,,1965,5,3,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +157,11100,Fashion & Retail,Giorgio Armani,88,Italy,Milan,Luxury goods,Fashion & Retail,Italy,,TRUE,U,M,7/11/1934 0:00,Armani,Giorgio,,4/4/2023 5:01,,,1934,7,11,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +157,11100,Fashion & Retail,Johann Rupert & family,72,South Africa,Cape Town,Luxury goods,Fashion & Retail,South Africa,,FALSE,U,M,6/1/1950 0:00,Rupert,Johann,,4/4/2023 5:01,,,1950,6,1,158.93,4.1,"$351,431,649,241 ",22.4,100.9,63.9,27.5,29.2,58558270,-30.559482,22.937506 +159,11000,Finance & Investments,Gong Hongjia & family,58,Hong Kong,Hong Kong,Video surveillance,Finance & Investments,Hong Kong,,TRUE,D,M,1/1/1965 0:00,Gong,Hongjia,,4/4/2023 5:01,,,1965,1,1,,,,,,,,,,, +159,11000,Technology,Zhang Zhidong,51,China,Shenzhen,Internet media,Technology,China,,TRUE,D,M,1/1/1972 0:00,Zhang,Zhidong,,4/4/2023 5:01,,,1972,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +161,10900,Finance & Investments,Philip Anschutz,83,United States,Denver,"Energy, sports, entertainment",Finance & Investments,United States,,FALSE,E,M,12/28/1939 0:00,Anschutz,Philip,,4/4/2023 5:01,Colorado,West,1939,12,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +161,10900,Fashion & Retail,Judy Love & family,85,United States,Oklahoma City,Gas stations,Fashion & Retail,United States,Love's Travel Stops and Country Stores,TRUE,U,F,6/17/1937 0:00,Love,Judy,Chairman and CEO,4/4/2023 5:01,Oklahoma,South,1937,6,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +161,10900,Fashion & Retail,Ricardo Salinas Pliego & family,67,Mexico,Mexico City,"Retail, media",Fashion & Retail,Mexico,,FALSE,D,M,10/19/1955 0:00,Salinas Pliego,Ricardo,,4/4/2023 5:01,,,1955,10,19,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +164,10700,Media & Entertainment,Donald Newhouse,93,United States,New York,Media,Media & Entertainment,United States,,FALSE,D,M,8/5/1929 0:00,Newhouse,Donald,,4/4/2023 5:01,New York,Northeast,1929,8,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +165,10600,Sports,Robert Kraft,81,United States,Brookline,"Manufacturing, New England Patriots",Sports,United States,The Kraft Group,TRUE,U,M,6/5/1941 0:00,Kraft,Robert,Chairman & CEO,4/4/2023 5:01,Massachusetts,Northeast,1941,6,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +165,10600,Food & Beverage,Marcel Herrmann Telles,73,Brazil,Sao Paulo,Beer,Food & Beverage,Brazil,,TRUE,U,M,1/1/1950 0:00,Telles,Marcel Herrmann,,4/4/2023 5:01,,,1950,1,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +167,10500,Finance & Investments,Suleiman Kerimov & family,57,Russia,Moscow,Gold,Finance & Investments,Russia,,TRUE,U,M,3/12/1966 0:00,Kerimov & family,Suleiman,,4/4/2023 5:01,,,1966,3,12,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +167,10500,Fashion & Retail,Sky Xu,39,China,Guangzhou,E-commerce,Fashion & Retail,China,,TRUE,U,M,1/1/1984 0:00,Xu,Sky,,4/4/2023 5:01,,,1984,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +167,10500,Finance & Investments,Changpeng Zhao,45,United Arab Emirates,Dubai,Cryptocurrency exchange,Finance & Investments,Canada,,TRUE,D,M,9/10/1977 0:00,Zhao,Changpeng,,4/4/2023 5:01,,,1977,9,10,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +170,10300,Finance & Investments,Andrew Beal,70,United States,Dallas,"Banks, real estate",Finance & Investments,United States,,TRUE,U,M,11/29/1952 0:00,Beal,Andrew,,4/4/2023 5:01,Texas,South,1952,11,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +171,10200,Technology,Mike Cannon-Brookes,43,Australia,Sydney,Software,Technology,Australia,,TRUE,D,M,11/17/1979 0:00,Cannon-Brookes,Mike,,4/4/2023 5:01,,,1979,11,17,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +171,10200,Healthcare,Carl Cook,60,United States,Bloomington,Medical devices,Healthcare,United States,,FALSE,D,M,8/19/1962 0:00,Cook,Carl,,4/4/2023 5:01,Indiana,Midwest,1962,8,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +171,10200,Technology,David Duffield,82,United States,Incline Village,Business software,Technology,United States,Workday,TRUE,D,M,9/21/1940 0:00,Duffield,David,Chairman and Cofounder,4/4/2023 5:01,Nevada,West,1940,9,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +171,10200,Energy,Jeffery Hildebrand,64,United States,Houston,Oil,Energy,United States,,TRUE,U,M,3/5/1959 0:00,Hildebrand,Jeffery,,4/4/2023 5:01,Texas,South,1959,3,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +171,10200,Manufacturing,Viktor Rashnikov,74,Russia,Magnitogorsk,Steel,Manufacturing,Russia,,TRUE,U,M,10/13/1948 0:00,Rashnikov,Viktor,,4/4/2023 5:01,,,1948,10,13,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +171,10200,Technology,Eduardo Saverin,41,Singapore,Singapore,Facebook,Technology,Brazil,Meta Platforms,TRUE,D,M,3/19/1982 0:00,Saverin,Eduardo,Investor,4/4/2023 5:01,,,1982,3,19,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +171,10200,Automotive,Georg Schaeffler,58,Germany,Herzogenaurach,Auto parts,Automotive,Germany,,FALSE,U,M,10/19/1964 0:00,Schaeffler,Georg,,4/4/2023 5:01,,,1964,10,19,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +171,10200,Fashion & Retail,Christy Walton,74,United States,Jackson,Walmart,Fashion & Retail,United States,,FALSE,U,F,2/8/1949 0:00,Walton,Christy,,4/4/2023 5:01,Wyoming,South,1949,2,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +179,10100,Technology,Scott Farquhar,43,Australia,Sydney,Software,Technology,Australia,,TRUE,D,M,12/17/1979 0:00,Farquhar,Scott,,4/4/2023 5:01,,,1979,12,17,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +179,10100,Diversified,Quek Leng Chan,81,Malaysia,Kuala Lumpur,"Banking, property",Diversified,Malaysia,,FALSE,D,M,8/12/1941 0:00,Quek,Leng Chan,,4/4/2023 5:01,,,1941,8,12,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +179,10100,Real Estate,Wu Yajun,59,China,Beijing,Real estate,Real Estate,China,,TRUE,D,F,1/1/1964 0:00,Wu,Yajun,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +182,10000,Energy,Autry Stephens,85,United States,Midland,Oil,Energy,United States,,TRUE,U,M,3/8/1938 0:00,Stephens,Autry,,4/4/2023 5:01,Texas,South,1938,3,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +183,9900,Service,Liu Yongxing,74,China,Shanghai,Diversified,Service,China,East Hope Group,TRUE,D,M,6/1/1948 0:00,Liu,Yongxing,Chairman,4/4/2023 5:01,,,1948,6,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +184,9800,Diversified,Vinod Adani,74,United Arab Emirates,Dubai,"Infrastructure, commodities",Diversified,Cyprus,,TRUE,Split Family Fortune,M,1/10/1949 0:00,Adani,Vinod,,4/4/2023 5:01,,,1949,1,10,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +184,9800,Fashion & Retail,Nicolas Puech,80,Switzerland,Martigny,Hermes,Fashion & Retail,France,,FALSE,U,M,1/29/1943 0:00,Puech,Nicolas,,4/4/2023 5:01,,,1943,1,29,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +184,9800,Logistics,"Jacques Saadé, Jr.",51,France,Marseille,Shipping,Logistics,France,,FALSE,Split Family Fortune,M,8/10/1971 0:00,Saadé,Jacques,,4/4/2023 5:01,,,1971,8,10,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +184,9800,Logistics,Rodolphe Saadé,53,France,Marseille,Shipping,Logistics,France,CMA CGM,FALSE,Split Family Fortune,M,3/3/1970 0:00,Saadé,Rodolphe,Chairman and CEO,4/4/2023 5:01,,,1970,3,3,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +184,9800,Logistics,Tanya Saadé Zeenny,55,France,Marseille,Shipping,Logistics,France,,FALSE,Split Family Fortune,F,2/1/1968 0:00,Saadé Zeenny,Tanya,,4/4/2023 5:01,,,1968,2,1,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +184,9800,Finance & Investments,Melker Schorling & family,75,Sweden,Stockholm,Investments,Finance & Investments,Sweden,,TRUE,D,M,5/15/1947 0:00,Schorling,Melker,,4/4/2023 5:01,,,1947,5,15,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +190,9700,Manufacturing,Andrei Guriev & family,63,Russia,Moscow,Fertilizers,Manufacturing,Russia,,TRUE,U,M,3/24/1960 0:00,Guriev & family,Andrei,,4/4/2023 5:01,,,1960,3,24,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +190,9700,Finance & Investments,Michael Kim,59,South Korea,Seoul,Private equity,Finance & Investments,United States,MBK Partners,TRUE,U,M,10/1/1963 0:00,Kim,Michael,,4/4/2023 5:01,,,1963,10,1,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +190,9700,Technology,Lei Jun,53,China,Beijing,Smartphones,Technology,China,Xiaomi,TRUE,D,M,12/16/1969 0:00,Lei,Jun,Founder and CEO,4/4/2023 5:01,,,1969,12,16,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +190,9700,Manufacturing,Friedhelm Loh,76,Germany,Haiger,Manufacturing,Manufacturing,Germany,,FALSE,U,M,8/15/1946 0:00,Loh,Friedhelm,,4/4/2023 5:01,,,1946,8,15,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +190,9700,Healthcare,Sun Piaoyang,64,China,Lianyungang,Pharmaceuticals,Healthcare,China,,TRUE,D,M,9/1/1958 0:00,Sun,Piaoyang,,4/4/2023 5:01,,,1958,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +195,9600,Technology,Rick Cohen & family,70,United States,Keene,Warehouse automation,Technology,United States,C&S Wholesale Grocers,FALSE,N,M,7/25/1952 0:00,Cohen,Rick,Entrepreneur,4/4/2023 5:01,New Hampshire,Northeast,1952,7,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +195,9600,Energy,Jin Baofang,70,China,Xingtai,Solar panels,Energy,China,,TRUE,D,M,9/1/1952 0:00,Jin,Baofang,,4/4/2023 5:01,,,1952,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +195,9600,Manufacturing,Luo Liguo & family,67,China,Ningbo,Chemicals,Manufacturing,China,,TRUE,D,M,3/1/1956 0:00,Luo,Liguo,,4/4/2023 5:01,,,1956,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +195,9600,Food & Beverage,Marijke Mars,58,United States,Los Angeles,"Candy, pet food",Food & Beverage,United States,,FALSE,U,F,7/28/1964 0:00,Mars,Marijke,,4/4/2023 5:01,California,West,1964,7,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +195,9600,Food & Beverage,Pamela Mars,62,United States,Alexandria,"Candy, pet food",Food & Beverage,United States,,FALSE,U,F,8/1/1960 0:00,Mars,Pamela,,4/4/2023 5:01,Virginia,South,1960,8,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +195,9600,Food & Beverage,Valerie Mars,64,United States,New York,"Candy, pet food",Food & Beverage,United States,,FALSE,U,F,1/26/1959 0:00,Mars,Valerie,,4/4/2023 5:01,New York,Northeast,1959,1,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +195,9600,Food & Beverage,Victoria Mars,66,United States,Philadelphia,"Candy, pet food",Food & Beverage,United States,,FALSE,U,F,12/15/1956 0:00,Mars,Victoria,,4/4/2023 5:01,Pennsylvania,Northeast,1956,12,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +202,9500,Finance & Investments,Vincent Bolloré & family,71,France,Paris,Investments,Finance & Investments,France,,FALSE,U,M,4/1/1952 0:00,Bolloré,Vincent,,4/4/2023 5:01,,,1952,4,1,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +202,9500,Diversified,Jim Pattison,94,Canada,Vancouver,Diversified,Diversified,Canada,Jim Pattison Group,TRUE,D,M,10/1/1928 0:00,Pattison,Jim,"Founder, Chairman and CEO",4/4/2023 5:01,,,1928,10,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +204,9400,Healthcare,Ernesto Bertarelli,57,Switzerland,Gstaad,"Biotech, investments",Healthcare,Switzerland,,FALSE,U,M,9/22/1965 0:00,Bertarelli,Ernesto,,4/4/2023 5:01,,,1965,9,22,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +204,9400,Technology,Wang Xing,44,China,Beijing,Food delivery,Technology,China,,TRUE,D,M,2/18/1979 0:00,Wang,Xing,,4/4/2023 5:01,,,1979,2,18,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +206,9300,Technology,Brian Chesky,41,United States,San Francisco,Airbnb,Technology,United States,"Airbnb, Inc.",TRUE,D,M,8/29/1981 0:00,Chesky,Brian,CEO and Cofounder,4/4/2023 5:01,California,West,1981,8,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +206,9300,Manufacturing,James Dyson,75,United Kingdom,Gloucestershire,Vacuums,Manufacturing,United Kingdom,,TRUE,U,M,5/2/1947 0:00,Dyson,James,,4/4/2023 5:01,,,1947,5,2,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +208,9200,Diversified,Roman Abramovich & family,56,Russia,Moscow,"Steel, investments",Diversified,Russia,,TRUE,U,M,10/24/1966 0:00,Abramovich,Roman,,4/4/2023 5:01,,,1966,10,24,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +208,9200,Diversified,Antonia Ax:son Johnson & family,79,Sweden,Stockholm,Diversified,Diversified,Sweden,,FALSE,U,F,9/6/1943 0:00,Ax:son Johnson,Antonia,,4/4/2023 5:01,,,1943,9,6,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +208,9200,Energy,Daniel Kretinsky,47,Czech Republic,Prague,"Energy, investments",Energy,Czech Republic,,TRUE,U,M,7/9/1975 0:00,Kretinsky,Daniel,,4/4/2023 5:01,,,1975,7,9,116.48,2.8,"$246,489,245,495 ",64.1,100.7,79,14.9,46.1,10669709,49.817492,15.472962 +208,9200,Media & Entertainment,John Malone,82,United States,Elizabeth,Cable television,Media & Entertainment,United States,,TRUE,U,M,3/7/1941 0:00,Malone,John,,4/4/2023 5:01,Colorado,West,1941,3,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +208,9200,Technology,Azim Premji,77,India,Bangalore,Software services,Technology,India,Wipro Ltd.,FALSE,D,M,7/24/1945 0:00,Premji,Azim,Founder Chairman,4/4/2023 5:01,,,1945,7,24,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +208,9200,Finance & Investments,Charles Schwab,85,United States,Woodside,Discount brokerage,Finance & Investments,United States,Charles Schwab Corp.,TRUE,D,M,7/29/1937 0:00,Schwab,Charles,Investor,4/4/2023 5:01,California,West,1937,7,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +208,9200,Fashion & Retail,Eric Smidt,63,United States,Beverly Hills,Hardware stores,Fashion & Retail,United States,,TRUE,U,M,1/1/1960 0:00,Smidt,Eric,,4/4/2023 5:01,California,West,1960,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +215,9000,Technology,David Cheriton,72,United States,Palo Alto,Google,Technology,Canada,Stanford University,TRUE,D,M,3/29/1951 0:00,Cheriton,David,Professor,4/4/2023 5:01,California,West,1951,3,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +215,9000,Metals & Mining,Ivan Glasenberg,66,Switzerland,Ruschlikon,Mining,Metals & Mining,Switzerland,,TRUE,D,M,1/7/1957 0:00,Glasenberg,Ivan,,4/4/2023 5:01,,,1957,1,7,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +215,9000,Real Estate,Alexander Otto,55,Germany,Hamburg,Real estate,Real Estate,Germany,,FALSE,D,M,7/7/1967 0:00,Otto,Alexander,,4/4/2023 5:01,,,1967,7,7,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +215,9000,Food & Beverage,Anthony von Mandl,73,Canada,Vancouver,Alcoholic beverages,Food & Beverage,Canada,,TRUE,U,M,3/10/1950 0:00,von Mandl,Anthony,,4/4/2023 5:01,,,1950,3,10,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +215,9000,Manufacturing,Wang Liping & family,57,China,Changzhou,Hydraulic machinery,Manufacturing,China,,TRUE,U,M,2/24/1966 0:00,Wang,Liping,,4/4/2023 5:01,,,1966,2,24,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +220,8900,Food & Beverage,Finn Rausing,68,United Kingdom,London,Packaging,Food & Beverage,Sweden,,FALSE,D,M,1/1/1955 0:00,Rausing,Finn,,4/4/2023 5:01,,,1955,1,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +220,8900,Food & Beverage,Jorn Rausing,63,United Kingdom,Surrey,Packaging,Food & Beverage,Sweden,,FALSE,D,M,1/1/1960 0:00,Rausing,Jorn,,4/4/2023 5:01,,,1960,1,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +220,8900,Food & Beverage,Kirsten Rausing,70,United Kingdom,Newmarket,Packaging,Food & Beverage,Sweden,,FALSE,D,F,6/6/1952 0:00,Rausing,Kirsten,,4/4/2023 5:01,,,1952,6,6,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +223,8800,Fashion & Retail,Tatyana Bakalchuk,47,Russia,Moscow region,Ecommerce,Fashion & Retail,Russia,,TRUE,U,F,10/16/1975 0:00,Bakalchuk,Tatyana,,4/4/2023 5:01,,,1975,10,16,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +223,8800,Technology,John Doerr,71,United States,Woodside,Venture capital,Technology,United States,Kleiner Perkins,TRUE,D,M,6/29/1951 0:00,Doerr,John,Investor,4/4/2023 5:01,California,West,1951,6,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +223,8800,Technology,Richard Liu,49,China,Beijing,E-commerce,Technology,China,,TRUE,D,M,3/10/1974 0:00,Liu,Richard,,4/4/2023 5:01,,,1974,3,10,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +223,8800,Technology,Dustin Moskovitz,38,United States,San Francisco,Facebook,Technology,United States,Asana,TRUE,D,M,5/22/1984 0:00,Moskovitz,Dustin,Cofounder,4/4/2023 5:01,California,West,1984,5,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +223,8800,Technology,Pierre Omidyar,55,United States,Honolulu,"EBay, PayPal",Technology,United States,eBay,TRUE,D,M,6/21/1967 0:00,Omidyar,Pierre,Founder,4/4/2023 5:01,Hawaii,West,1967,6,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +223,8800,Energy,Pei Zhenhua,64,China,Ningde,Batteries,Energy,China,,TRUE,D,M,1/1/1959 0:00,Pei,Zhenhua,,4/4/2023 5:01,,,1959,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +223,8800,Energy,Carrie Perrodo & family,72,United Kingdom,London,Oil,Energy,France,,FALSE,U,F,1/1/1951 0:00,Perrodo,Carrie,Philanthropist,4/4/2023 5:01,,,1951,1,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +230,8700,Manufacturing,Chen Jianhua,52,China,Wujiang,Chemicals,Manufacturing,China,,TRUE,U,M,1/1/1971 0:00,Chen,Jianhua,,4/4/2023 5:01,,,1971,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +230,8700,Fashion & Retail,Michael Otto,79,Germany,Hamburg,"Retail, real estate",Fashion & Retail,Germany,,FALSE,D,M,4/12/1943 0:00,Otto,Michael,,4/4/2023 5:01,,,1943,4,12,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +232,8600,Finance & Investments,Leon Black,71,United States,New York,Private equity,Finance & Investments,United States,,TRUE,D,M,7/31/1951 0:00,Black,Leon,,4/4/2023 5:01,New York,Northeast,1951,7,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +232,8600,Finance & Investments,Graeme Hart,67,New Zealand,Auckland,Investments,Finance & Investments,New Zealand,,TRUE,D,M,6/6/1955 0:00,Hart,Graeme,,4/4/2023 5:01,,,1955,6,6,114.24,1.6,"$206,928,765,544 ",82,100,81.9,29,34.6,4841000,-40.900557,174.885971 +232,8600,Food & Beverage,Ravi Jaipuria,68,India,Delhi,"Soft drinks, fast food",Food & Beverage,India,,FALSE,U,M,11/28/1954 0:00,Jaipuria,Ravi,,4/4/2023 5:01,,,1954,11,28,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +232,8600,Technology,Hasso Plattner & family,79,Germany,Heidelberg,Software,Technology,Germany,,TRUE,U,M,1/21/1944 0:00,Plattner,Hasso,,4/4/2023 5:01,,,1944,1,21,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +232,8600,Food & Beverage,Carlos Alberto Sicupira & family,75,Switzerland,St. Gallen,Beer,Food & Beverage,Brazil,,TRUE,U,M,1/1/1948 0:00,Sicupira,Carlos Alberto,,4/4/2023 5:01,,,1948,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +232,8600,Real Estate,Manuel Villar,73,Philippines,Manila,Real estate,Real Estate,Philippines,,TRUE,U,M,12/13/1949 0:00,Villar,Manuel,,4/4/2023 5:01,,,1949,12,13,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +232,8600,Technology,Andreas von Bechtolsheim & family,67,United States,Palo Alto,Google,Technology,Germany,Arista Networks,TRUE,D,M,9/30/1955 0:00,von Bechtolsheim,Andreas,"Cofounder, Chief Development Officer and Chairman",4/4/2023 5:01,California,West,1955,9,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +239,8500,Finance & Investments,"Chase Coleman, III.",47,United States,New York,Investments,Finance & Investments,United States,Tiger Global Management,TRUE,D,M,6/21/1975 0:00,Coleman,Chase,Investor,4/4/2023 5:01,New York,Northeast,1975,6,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +239,8500,Fashion & Retail,Ann Walton Kroenke,74,United States,Electra,Walmart,Fashion & Retail,United States,,FALSE,D,F,12/18/1948 0:00,Kroenke,Ann Walton,,4/4/2023 5:01,Texas,South,1948,12,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +239,8500,Manufacturing,Li Zhenguo & family,55,China,Xi'an,Solar wafers and modules,Manufacturing,China,,TRUE,D,M,1/1/1968 0:00,Li,Zhenguo,,4/4/2023 5:01,,,1968,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +242,8400,Media & Entertainment,Jim Kennedy,75,United States,Atlanta,"Media, automotive",Media & Entertainment,United States,Cox Enterprises,FALSE,U,M,11/29/1947 0:00,Kennedy,Jim,Chairman Emeritus,4/4/2023 5:01,Georgia,South,1947,11,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +242,8400,Metals & Mining,Nicky Oppenheimer & family,77,South Africa,Johannesburg,Diamonds,Metals & Mining,South Africa,,FALSE,D,M,6/8/1945 0:00,Oppenheimer,Nicky,,4/4/2023 5:01,,,1945,6,8,158.93,4.1,"$351,431,649,241 ",22.4,100.9,63.9,27.5,29.2,58558270,-30.559482,22.937506 +242,8400,Media & Entertainment,Blair Parry-Okeden,72,Australia,New South Wales,"Media, automotive",Media & Entertainment,United States,,FALSE,U,F,5/21/1950 0:00,Parry-Okeden,Blair,,4/4/2023 5:01,,,1950,5,21,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +242,8400,Metals & Mining,Zheng Shuliang & family,77,China,Binzhou,Aluminum products,Metals & Mining,China,,FALSE,D,F,1/1/1946 0:00,Zheng,Shuliang,,4/4/2023 5:01,,,1946,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +246,8300,Fashion & Retail,John Morris,75,United States,Springfield,Sporting goods retail,Fashion & Retail,United States,,TRUE,U,M,3/19/1948 0:00,Morris,John,,4/4/2023 5:01,Missouri,Midwest,1948,3,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +246,8300,Fashion & Retail,Stefano Pessina,81,Monaco,Monte Carlo,Drugstores,Fashion & Retail,Monaco,,FALSE,D,M,6/4/1941 0:00,Pessina,Stefano,,4/4/2023 5:01,,,1941,6,4,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +246,8300,Finance & Investments,Francine von Finck & family,,Switzerland,Thurgau,Investments,Finance & Investments,Germany,,FALSE,D,F,,von Finck,Francine,,4/4/2023 5:01,,,,,,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +249,8200,Real Estate,Francis Choi,75,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,TRUE,U,M,9/18/1947 0:00,Choi,Francis,,4/4/2023 5:01,,,1947,9,18,,,,,,,,,,, +249,8200,Energy,German Khan,61,Russia,Moscow,"Oil, banking, telecom",Energy,Russia,,TRUE,U,M,10/24/1961 0:00,Khan,German,,4/4/2023 5:01,,,1961,10,24,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +249,8200,Diversified,Abdulsamad Rabiu,62,Nigeria,Lagos,"Cement, sugar",Diversified,Nigeria,,FALSE,U,M,8/4/1960 0:00,Rabiu,Abdulsamad,,4/4/2023 5:01,,,1960,8,4,267.51,11.4,"$448,120,428,859 ",10.2,84.7,54.3,1.5,34.8,200963599,9.081999,8.675277 +249,8200,Finance & Investments,George Roberts,79,United States,Atherton,Private equity,Finance & Investments,United States,,TRUE,U,M,9/14/1943 0:00,Roberts,George,,4/4/2023 5:01,California,West,1943,9,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +249,8200,Real Estate,Kushal Pal Singh,91,India,Delhi,Real estate,Real Estate,India,,FALSE,D,M,8/15/1931 0:00,Singh,Kushal Pal,,4/4/2023 5:01,,,1931,8,15,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +249,8200,Real Estate,Wang Jianlin,68,China,Beijing,Real estate,Real Estate,China,Dalian Wanda Group,TRUE,D,M,10/1/1954 0:00,Wang,Jianlin,Chairman,4/4/2023 5:01,,,1954,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +249,8200,Real Estate,Yang Huiyan & family,41,China,Foshan,Real estate,Real Estate,China,,FALSE,D,F,9/27/1981 0:00,Yang,Huiyan,,4/4/2023 5:01,,,1981,9,27,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +256,8100,Diversified,Laurent Dassault,69,France,Paris,Diversified,Diversified,France,,FALSE,D,M,7/7/1953 0:00,Dassault,Laurent,,4/4/2023 5:01,,,1953,7,7,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +256,8100,Diversified,Thierry Dassault,66,France,Paris,Diversified,Diversified,France,,FALSE,D,M,3/26/1957 0:00,Dassault,Thierry,,4/4/2023 5:01,,,1957,3,26,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +256,8100,Food & Beverage,Tilman Fertitta,65,United States,Houston,"Houston Rockets, entertainment",Food & Beverage,United States,Landry's Inc,TRUE,U,M,6/25/1957 0:00,Fertitta,Tilman,Chairman and CEO,4/4/2023 5:01,Texas,South,1957,6,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +256,8100,Diversified,Marie-Hélène Habert-Dassault,58,France,Paris,Diversified,Diversified,France,,FALSE,D,F,4/4/1965 0:00,Habert-Dassault,Marie-Hélène,,4/4/2023 5:01,,,1965,4,4,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +256,8100,Gambling & Casinos,Karel Komarek,54,Switzerland,Verbier,"Oil and gas, IT, lotteries",Gambling & Casinos,Czech Republic,,TRUE,U,M,3/15/1969 0:00,Komarek,Karel,,4/4/2023 5:01,,,1969,3,15,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +261,8000,Technology,Nathan Blecharczyk,39,United States,San Francisco,Airbnb,Technology,United States,,TRUE,D,M,6/11/1983 0:00,Blecharczyk,Nathan,,4/4/2023 5:01,California,West,1983,6,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +261,8000,Energy,Leonid Fedun,66,Russia,Moscow,Oil,Energy,Russia,,TRUE,U,M,4/5/1956 0:00,Fedun,Leonid,,4/4/2023 5:01,,,1956,4,5,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +261,8000,Fashion & Retail,Bernard Marcus,93,United States,Atlanta,Home Depot,Fashion & Retail,United States,Home Depot,TRUE,D,M,5/12/1929 0:00,Marcus,Bernard,"Co-founder, ex chairman of the board",4/4/2023 5:01,Georgia,South,1929,5,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +261,8000,Finance & Investments,Patrick Ryan,85,United States,Winnetka,Insurance,Finance & Investments,United States,Ryan Specialty Group,TRUE,E,M,5/15/1937 0:00,Ryan,Patrick,Chairman and CEO,4/4/2023 5:01,Illinois,Midwest,1937,5,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +261,8000,Finance & Investments,Robert F. Smith,60,United States,Austin,Private equity,Finance & Investments,United States,,TRUE,U,M,12/1/1962 0:00,Smith,Robert F.,Investor,4/4/2023 5:01,Texas,South,1962,12,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +261,8000,Metals & Mining,Pavel Tykac,58,Czech Republic,Prague,Coal mines,Metals & Mining,Czech Republic,,TRUE,U,M,5/15/1964 0:00,Tykac,Pavel,,4/4/2023 5:01,,,1964,5,15,116.48,2.8,"$246,489,245,495 ",64.1,100.7,79,14.9,46.1,10669709,49.817492,15.472962 +261,8000,Finance & Investments,Eric Wittouck,76,Monaco,,Investments,Finance & Investments,Belgium,,FALSE,D,M,10/1/1946 0:00,Wittouck,Eric,,4/4/2023 5:01,,,1946,10,1,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +268,7900,Finance & Investments,Orlando Bravo,52,United States,Miami Beach,Private equity,Finance & Investments,United States,,TRUE,U,M,9/23/1970 0:00,Bravo,Orlando,,4/4/2023 5:01,Florida,South,1970,9,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +268,7900,Fashion & Retail,Ding Shizhong,52,China,Quanzhou,Sports apparel,Fashion & Retail,China,,TRUE,U,M,12/1/1970 0:00,Ding,Shizhong,,4/4/2023 5:01,,,1970,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +268,7900,Fashion & Retail,Nancy Walton Laurie,71,United States,Henderson,Walmart,Fashion & Retail,United States,,FALSE,D,F,5/15/1951 0:00,Laurie,Nancy Walton,,4/4/2023 5:01,Nevada,West,1951,5,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +268,7900,Technology,Jay Y. Lee,54,South Korea,Seoul,Samsung,Technology,South Korea,,FALSE,D,M,6/23/1968 0:00,Lee,Jay Y.,,4/4/2023 5:01,,,1968,6,23,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +268,7900,Finance & Investments,Ramzi Musallam,54,United States,New York,Private equity,Finance & Investments,United States,,TRUE,U,M,9/17/1968 0:00,Musallam,Ramzi,,4/4/2023 5:01,New York,Northeast,1968,9,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +268,7900,Finance & Investments,David Shaw,72,United States,New York,Hedge funds,Finance & Investments,United States,"D. E. Shaw & Co., L.P.",TRUE,U,M,3/29/1951 0:00,Shaw,David,Founder,4/4/2023 5:01,New York,Northeast,1951,3,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +268,7900,Metals & Mining,Andrei Skoch & family,57,Russia,Moscow,Metals and mining,Metals & Mining,Russia,,TRUE,U,M,1/30/1966 0:00,Skoch & family,Andrei,,4/4/2023 5:01,,,1966,1,30,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +268,7900,Diversified,Georg Stumpf,50,Austria,Vienna,"Real estate, construction",Diversified,Austria,,TRUE,E,M,9/14/1972 0:00,Stumpf,Georg,,4/4/2023 5:01,,,1972,9,14,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +276,7800,Telecom,Rocco Commisso,73,United States,Saddle River,Telecom,Telecom,United States,,TRUE,U,M,11/25/1949 0:00,Commisso,Rocco,,4/4/2023 5:01,New Jersey,Northeast,1949,11,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +276,7800,Manufacturing,Li Shuirong & family,66,China,Hangzhou,Petrochemicals,Manufacturing,China,,TRUE,D,M,7/1/1956 0:00,Li,Shuirong,,4/4/2023 5:01,,,1956,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +276,7800,Manufacturing,Lin Shu-hong,94,Taiwan,Taipei,Petrochemicals,Manufacturing,Taiwan,,TRUE,U,M,8/1/1928 0:00,Lin,Shu-hong,,4/4/2023 5:01,,,1928,8,1,,,,,,,,,,, +276,7800,Technology,Qi Shi & family,53,China,Shanghai,Financial information,Technology,China,,TRUE,D,M,1/3/1970 0:00,Qi,Shi,,4/4/2023 5:01,,,1970,1,3,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +276,7800,Manufacturing,Yao Liangsong,58,China,Guangzhou,Furniture,Manufacturing,China,,TRUE,D,M,8/1/1964 0:00,Yao,Liangsong,,4/4/2023 5:01,,,1964,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +276,7800,Fashion & Retail,Zhang Congyuan,75,Taiwan,Taoyuan,Shoes,Fashion & Retail,Taiwan,,TRUE,D,M,1/1/1948 0:00,Zhang,Congyuan,,4/4/2023 5:01,,,1948,1,1,,,,,,,,,,, +282,7700,Food & Beverage,Jean-Michel Besnier,55,France,Laval,Cheese,Food & Beverage,France,,FALSE,D,M,6/5/1967 0:00,Besnier,Jean-Michel,,4/4/2023 5:01,,,1967,6,5,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +282,7700,Food & Beverage,Marie Besnier Beauvalot,42,France,Laval,Cheese,Food & Beverage,France,,FALSE,D,F,7/30/1980 0:00,Besnier Beauvalot,Marie,,4/4/2023 5:01,,,1980,7,30,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +282,7700,Media & Entertainment,David Geffen,80,United States,Beverly Hills,"Movies, record labels",Media & Entertainment,United States,DreamWorks Animation SKG Inc. (Cl A),TRUE,D,M,2/21/1943 0:00,Geffen,David,Cofounder,4/4/2023 5:01,California,West,1943,2,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +282,7700,Technology,Robin Li,54,China,Beijing,Internet search,Technology,China,Baidu,TRUE,U,M,11/17/1968 0:00,Li,Robin,Founder and CEO,4/4/2023 5:01,,,1968,11,17,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +282,7700,Service,Liu Yonghao & family,71,China,Chengdu,Agribusiness,Service,China,,TRUE,D,M,9/1/1951 0:00,Liu,Yonghao,,4/4/2023 5:01,,,1951,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +282,7700,Technology,Henry Samueli,68,United States,Newport Beach,Semiconductors,Technology,United States,Broadcom,TRUE,U,M,9/20/1954 0:00,Samueli,Henry,"Cofounder, Chief Technology Officer and Chairman",4/4/2023 5:01,California,West,1954,9,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +282,7700,Healthcare,Reinhold Schmieding,68,United States,Naples,Medical devices,Healthcare,United States,,TRUE,U,M,1/3/1955 0:00,Schmieding,Reinhold,,4/4/2023 5:01,Florida,South,1955,1,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +282,7700,Real Estate,Ivar Tollefsen,61,Norway,Oslo,Real estate,Real Estate,Norway,,TRUE,U,M,6/23/1961 0:00,Tollefsen,Ivar,,4/4/2023 5:01,,,1961,6,23,120.27,2.2,"$403,336,363,636 ",82,100.3,82.8,23.9,36.2,5347896,60.472024,8.468946 +290,7600,Energy,Cao Renxian,54,China,Hefei,Photovoltaic equipment,Energy,China,,TRUE,D,M,7/24/1968 0:00,Cao,Renxian,,4/4/2023 5:01,,,1968,7,24,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +290,7600,Healthcare,Hasmukh Chudgar & family,89,India,Ahmedabad,Pharmaceuticals,Healthcare,India,,TRUE,U,M,9/19/1933 0:00,Chudgar,Hasmukh,,4/4/2023 5:01,,,1933,9,19,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +290,7600,Manufacturing,Andrew Currie,67,United Kingdom,London,Chemicals,Manufacturing,United Kingdom,,TRUE,U,M,12/4/1955 0:00,Currie,Andrew,,4/4/2023 5:01,,,1955,12,4,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +290,7600,Technology,Joe Gebbia,41,United States,Austin,Airbnb,Technology,United States,"Airbnb, Inc.",TRUE,D,M,8/21/1981 0:00,Gebbia,Joe,Cofounder & Chair of Airbnb.org,4/4/2023 5:01,Texas,South,1981,8,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +290,7600,Real Estate,Philip Ng,64,Singapore,Singapore,Real Estate,Real Estate,Singapore,,FALSE,Split Family Fortune,M,1/1/1959 0:00,Ng,Philip,,4/4/2023 5:01,,,1959,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +290,7600,Manufacturing,John Reece,66,United Kingdom,London,Chemicals,Manufacturing,United Kingdom,,TRUE,U,M,3/7/1957 0:00,Reece,John,,4/4/2023 5:01,,,1957,3,7,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +290,7600,Real Estate,Leonard Stern,85,United States,New York,Real estate,Real Estate,United States,"Hartz Mountain Industries, Inc.",FALSE,U,M,3/28/1938 0:00,Stern,Leonard,Chairman and CEO,4/4/2023 5:01,New York,Northeast,1938,3,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +290,7600,Technology,Joseph Tsai,59,Hong Kong,Hong Kong,E-commerce,Technology,Canada,,TRUE,D,M,1/19/1964 0:00,Tsai,Joseph,,4/4/2023 5:01,,,1964,1,19,,,,,,,,,,, +290,7600,Healthcare,Zhong Huijuan,62,China,Shanghai,Pharmaceuticals,Healthcare,China,,TRUE,D,F,1/1/1961 0:00,Zhong,Huijuan,,4/4/2023 5:01,,,1961,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +299,7500,Sports,Arthur Blank,80,United States,Atlanta,Home Depot,Sports,United States,Atlanta Falcons,TRUE,U,M,9/27/1942 0:00,Blank,Arthur,Chairman,4/4/2023 5:01,Georgia,South,1942,9,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +299,7500,Fashion & Retail,Charles Butt,85,United States,San Antonio,Supermarkets,Fashion & Retail,United States,,FALSE,R,M,2/3/1938 0:00,Butt,Charles,,4/4/2023 5:01,Texas,South,1938,2,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +299,7500,Fashion & Retail,Ding Shijia,59,China,Quanzhou,Sports apparel,Fashion & Retail,China,,TRUE,D,M,1/1/1964 0:00,Ding,Shijia,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +299,7500,Finance & Investments,"Paul Tudor Jones, II.",68,United States,Palm Beach,Hedge funds,Finance & Investments,United States,Tudor Investment Corporation,TRUE,U,M,9/28/1954 0:00,Jones,Paul Tudor,Founder,4/4/2023 5:01,Florida,South,1954,9,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +299,7500,Finance & Investments,Henry Kravis,79,United States,New York,Private equity,Finance & Investments,United States,KKR & Co.,TRUE,D,M,1/6/1944 0:00,Kravis,Henry,Co-Chair and Co-CEO,4/4/2023 5:01,New York,Northeast,1944,1,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +299,7500,Food & Beverage,Zhang Yong,52,Singapore,Singapore,Restaurants,Food & Beverage,Singapore,,TRUE,U,M,7/1/1970 0:00,Zhang,Yong,,4/4/2023 5:01,,,1970,7,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +305,7400,Technology,James Goodnight,80,United States,Cary,Software,Technology,United States,SAS Institute,TRUE,U,M,1/6/1943 4:00,Goodnight,James,CEO,4/4/2023 9:01,North Carolina,South,1943,1,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +305,7400,Manufacturing,Sri Prakash Lohia,70,United Kingdom,London,Petrochemicals,Manufacturing,Indonesia,,FALSE,U,M,8/11/1952 0:00,Lohia,Sri Prakash,,4/4/2023 5:01,,,1952,8,11,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +305,7400,Fashion & Retail,Ma Jianrong,59,China,Ningbo,"Textiles, apparel",Fashion & Retail,China,,TRUE,D,M,1/1/1964 0:00,Ma,Jianrong,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +305,7400,Real Estate,Robert Ng,71,Singapore,Singapore,Real estate,Real Estate,Singapore,,FALSE,Split Family Fortune,M,1/1/1952 0:00,Ng,Robert,,4/4/2023 5:01,,,1952,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +305,7400,Manufacturing,Steven Rales,72,United States,Santa Barbara,"Manufacturing, investments",Manufacturing,United States,Danaher,TRUE,D,M,3/31/1951 0:00,Rales,Steven,Investor,4/4/2023 5:01,California,West,1951,3,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +305,7400,Construction & Engineering,Nassef Sawiris,62,Egypt,Cairo,"Construction, investments",Construction & Engineering,Egypt,,FALSE,D,M,1/19/1961 0:00,Sawiris,Nassef,,4/4/2023 5:01,,,1961,1,19,288.57,9.2,"$303,175,127,598 ",35.2,106.3,71.8,12.5,44.4,100388073,26.820553,30.802498 +305,7400,Food & Beverage,Harry Stine,81,United States,Adel,Agriculture,Food & Beverage,United States,,TRUE,U,M,11/30/1941 0:00,Stine,Harry,,4/4/2023 5:01,Iowa,Midwest,1941,11,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +312,7300,Manufacturing,Benu Gopal Bangur,91,India,Kolkata,Cement,Manufacturing,India,,FALSE,U,M,6/1/1931 0:00,Bangur,Benu Gopal,,4/4/2023 5:01,,,1931,6,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +312,7300,Metals & Mining,Iskander Makhmudov,59,Russia,Moscow,"Mining, metals, machinery",Metals & Mining,Russia,,TRUE,U,M,12/5/1963 0:00,Makhmudov,Iskander,,4/4/2023 5:01,,,1963,12,5,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +312,7300,Fashion & Retail,Anders Holch Povlsen,50,Denmark,Aarhus,Fashion retail,Fashion & Retail,Denmark,,FALSE,D,M,11/4/1972 0:00,Povlsen,Anders Holch,,4/4/2023 5:01,,,1972,11,4,110.35,0.8,"$348,078,018,464 ",80.6,101.3,81,32.4,23.8,5818553,56.26392,9.501785 +312,7300,Logistics,Enrique Razon Jr.,63,Philippines,Manila,Ports,Logistics,Philippines,,FALSE,U,M,3/3/1960 0:00,Razon Jr.,Enrique,,4/4/2023 5:01,,,1960,3,3,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +312,7300,Technology,Wang Laichun,55,China,Shenzhen,Electronics components,Technology,Hong Kong,,TRUE,D,F,6/3/1967 0:00,Wang,Laichun,,4/4/2023 5:01,,,1967,6,3,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +317,7200,Finance & Investments,Arthur Dantchik,65,United States,Gladwyne,"Trading, investments",Finance & Investments,United States,,TRUE,N,M,11/25/1957 0:00,Dantchik,Arthur,,4/4/2023 5:01,Pennsylvania,Northeast,1957,11,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +317,7200,Technology,Terry Gou,72,Taiwan,Taipei,Electronics,Technology,Taiwan,Hon Hai Precision Industries,TRUE,U,M,10/18/1950 0:00,Gou,Terry,CEO,4/4/2023 5:01,,,1950,10,18,,,,,,,,,,, +317,7200,Real Estate,Jeff Greene,68,United States,Palm Beach,"Real estate, investments",Real Estate,United States,,TRUE,U,M,12/10/1954 0:00,Greene,Jeff,,4/4/2023 5:01,Florida,South,1954,12,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +317,7200,Finance & Investments,Don Hankey,79,United States,Malibu,Auto loans,Finance & Investments,United States,Hankey Group,TRUE,U,M,6/13/1943 0:00,Hankey,Don,Chairman,4/4/2023 5:01,California,West,1943,6,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +317,7200,Energy,Richard Kinder,78,United States,Houston,Pipelines,Energy,United States,Kinder Morgan Inc,TRUE,D,M,10/19/1944 0:00,Kinder,Richard,Chairman and CEO,4/4/2023 5:01,Texas,South,1944,10,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +317,7200,Finance & Investments,Guillaume Pousaz,41,United Arab Emirates,Dubai,Fintech,Finance & Investments,Switzerland,,TRUE,D,M,8/15/1981 0:00,Pousaz,Guillaume,,4/4/2023 5:01,,,1981,8,15,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +317,7200,Fashion & Retail,Takahisa Takahara,61,Japan,Tokyo,Personal care goods,Fashion & Retail,Japan,,FALSE,U,M,7/12/1961 0:00,Takahara,Takahisa,,4/4/2023 5:01,,,1961,7,12,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +317,7200,Food & Beverage,Zong Qinghou,77,China,Hangzhou,Beverages,Food & Beverage,China,Hangzhou Wahaha Group,TRUE,D,M,10/1/1945 0:00,Zong,Qinghou,Chairman,4/4/2023 5:01,,,1945,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +325,7100,Technology,Judy Faulkner,79,United States,Madison,Healthcare software,Technology,United States,Epic Systems,TRUE,U,F,8/1/1943 0:00,Faulkner,Judy,Founder and CEO,4/4/2023 5:01,Wisconsin,Midwest,1943,8,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +325,7100,Gambling & Casinos,Johann Graf,76,Austria,Vienna,Gambling,Gambling & Casinos,Austria,,TRUE,U,M,1/3/1947 0:00,Graf,Johann,,4/4/2023 5:01,,,1947,1,3,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +325,7100,Service,Tamara Gustavson,61,United States,Lexington,Self storage,Service,United States,,FALSE,D,F,11/16/1961 0:00,Gustavson,Tamara,,4/4/2023 5:01,Kentucky,South,1961,11,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +325,7100,Manufacturing,Liang Wengen,66,China,Changsha,Construction equipment,Manufacturing,China,,TRUE,D,M,12/14/1956 0:00,Liang,Wengen,,4/4/2023 5:01,,,1956,12,14,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +325,7100,Healthcare,Frederik Paulsen,72,Switzerland,Lausanne,Health care,Healthcare,Sweden,,FALSE,D,M,10/30/1950 0:00,Paulsen,Frederik,,4/4/2023 5:01,,,1950,10,30,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +325,7100,Finance & Investments,Wee Cho Yaw,94,Singapore,Singapore,Banking,Finance & Investments,Singapore,,FALSE,D,M,1/10/1929 0:00,Wee,Cho Yaw,,4/4/2023 5:01,,,1929,1,10,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +325,7100,Manufacturing,Zhang Hejun,71,China,Ningbo,Electronics,Manufacturing,China,,TRUE,U,M,1/1/1952 0:00,Zhang,Hejun,,4/4/2023 5:01,,,1952,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +332,7000,Technology,Marc Benioff,58,United States,San Francisco,Business software,Technology,United States,Salesforce.com,TRUE,D,M,9/25/1964 0:00,Benioff,Marc,Chairman and CEO,4/4/2023 5:01,California,West,1964,9,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +332,7000,Media & Entertainment,Dmitri Bukhman,37,United Kingdom,London,Online games,Media & Entertainment,Israel,,TRUE,D,M,5/27/1985 0:00,Bukhman,Dmitri,,4/4/2023 5:01,,,1985,5,27,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +332,7000,Media & Entertainment,Igor Bukhman,41,United Kingdom,London,Online games,Media & Entertainment,Israel,,TRUE,D,M,3/29/1982 0:00,Bukhman,Igor,,4/4/2023 5:01,,,1982,3,29,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +332,7000,Technology,Jack Dangermond,77,United States,Redlands,Mapping software,Technology,United States,,TRUE,U,M,7/23/1945 0:00,Dangermond,Jack,,4/4/2023 5:01,California,West,1945,7,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +332,7000,Manufacturing,Ashwin Dani & family,80,India,Mumbai,Paints,Manufacturing,India,,FALSE,D,M,10/24/1942 0:00,Dani,Ashwin,,4/4/2023 5:01,,,1942,10,24,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +332,7000,Fashion & Retail,Ralph Lauren,83,United States,New York,Apparel,Fashion & Retail,United States,Ralph Lauren,TRUE,U,M,10/14/1939 0:00,Lauren,Ralph,Chairman ,4/4/2023 5:01,New York,Northeast,1939,10,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +332,7000,Real Estate,Law Kar Po,74,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,U,M,8/2/1948 0:00,Law,Kar Po,,4/4/2023 5:01,,,1948,8,2,,,,,,,,,,, +332,7000,Diversified,Rohiqa Cyrus Mistry,55,India,Mumbai,Diversified,Diversified,India,,FALSE,N,F,6/6/1967 0:00,Mistry,Rohiqa Cyrus,,4/4/2023 5:01,,,1967,6,6,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +332,7000,Diversified,Shapoor Mistry,58,India,Mumbai,Diversified,Diversified,Ireland,,FALSE,N,M,9/6/1964 0:00,Mistry,Shapoor,,4/4/2023 5:01,,,1964,9,6,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +332,7000,Food & Beverage,J. Christopher Reyes,69,United States,Hobe Sound,Food distribution,Food & Beverage,United States,"Reyes Holdings, LLC",TRUE,D,M,12/29/1953 0:00,Reyes,J. Christopher,Co-Chairman,4/4/2023 5:01,Florida,South,1953,12,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +332,7000,Food & Beverage,Jude Reyes,67,United States,Palm Beach,Food distribution,Food & Beverage,United States,"Reyes Holdings, LLC",TRUE,D,M,9/16/1955 0:00,Reyes,Jude,Co-Chairman,4/4/2023 5:01,Florida,South,1955,9,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +332,7000,Food & Beverage,Don Vultaggio & family,71,United States,Port Washington,Beverages,Food & Beverage,United States,,TRUE,U,M,2/26/1952 0:00,Vultaggio,Don,,4/4/2023 5:01,New York,Northeast,1952,2,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +344,6900,Diversified,Alejandro Bailleres Gual & family,62,Mexico,,Diversified,Diversified,Mexico,,FALSE,U,M,1/1/1961 0:00,Bailleres Gual,Alejandro,,4/4/2023 5:01,,,1961,1,1,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +344,6900,Diversified,Edythe Broad & family,87,United States,Los Angeles,"Homebuilding, insurance",Diversified,United States,,FALSE,E,F,1/1/1936 0:00,Broad,Edythe,,4/4/2023 5:01,California,West,1936,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +344,6900,Food & Beverage,Pauline MacMillan Keinath,89,United States,St. Louis,Cargill,Food & Beverage,United States,,FALSE,D,F,1/1/1934 0:00,Keinath,Pauline MacMillan,,4/4/2023 5:01,Missouri,Midwest,1934,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +344,6900,Finance & Investments,Philippe Laffont,55,United States,New York,Hedge fund,Finance & Investments,United States,Coatue Management,TRUE,U,M,9/16/1967 0:00,Laffont,Philippe,Founder,4/4/2023 5:01,New York,Northeast,1967,9,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +344,6900,Technology,Liu Jincheng & family,58,China,Huizhou,Lithium batteries,Technology,China,,TRUE,D,M,9/22/1964 0:00,Liu,Jincheng,,4/4/2023 5:01,,,1964,9,22,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +344,6900,Real Estate,Igor Olenicoff,80,United States,Lighthouse Point,Real estate,Real Estate,United States,,TRUE,U,M,9/20/1942 0:00,Olenicoff,Igor,,4/4/2023 5:01,Florida,South,1942,9,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +344,6900,Fashion & Retail,Sandra Ortega Mera,54,Spain,La Coruna,Zara,Fashion & Retail,Spain,,FALSE,U,F,7/9/1968 0:00,Ortega Mera,Sandra,,4/4/2023 5:01,,,1968,7,9,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +344,6900,Healthcare,Ronda Stryker,68,United States,Portage,Medical equipment,Healthcare,United States,,FALSE,U,F,5/1/1954 0:00,Stryker,Ronda,,4/4/2023 5:01,Michigan,Midwest,1954,5,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +352,6800,Energy,Dannine Avara,59,United States,Houston,Pipelines,Energy,United States,,FALSE,U,F,3/9/1964 0:00,Avara,Dannine,,4/4/2023 5:01,Texas,South,1964,3,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +352,6800,Diversified,Silvio Berlusconi & family,86,Italy,Milan,Media,Diversified,Italy,,TRUE,D,M,9/29/1936 0:00,Berlusconi,Silvio,,4/4/2023 5:01,,,1936,9,29,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +352,6800,Gambling & Casinos,Denise Coates,55,United Kingdom,Stoke-on-Trent,Online gambling,Gambling & Casinos,United Kingdom,,TRUE,U,F,9/26/1967 0:00,Coates,Denise,,4/4/2023 5:01,,,1967,9,26,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +352,6800,Energy,Scott Duncan,40,United States,Houston,Pipelines,Energy,United States,,FALSE,U,M,11/1/1982 0:00,Duncan,Scott,,4/4/2023 5:01,Texas,South,1982,11,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +352,6800,Energy,Milane Frantz,53,United States,Houston,Pipelines,Energy,United States,,FALSE,U,F,8/12/1969 0:00,Frantz,Milane,,4/4/2023 5:01,Texas,South,1969,8,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +352,6800,Finance & Investments,"Edward Johnson, IV.",58,United States,Boston,Fidelity,Finance & Investments,United States,,FALSE,U,M,11/18/1964 0:00,Johnson,Edward,,4/4/2023 5:01,Massachusetts,Northeast,1964,11,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +352,6800,Finance & Investments,Yuri Milner,61,United States,Los Altos,Tech investments,Finance & Investments,Israel,DST Global,TRUE,D,M,11/11/1961 0:00,Milner,Yuri,Investor,4/4/2023 5:01,California,West,1961,11,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +352,6800,Technology,Gordon Moore,94,United States,Woodside,Intel,Technology,United States,Intel Corp.,TRUE,D,M,1/3/1929 0:00,Moore,Gordon,Cofounder and Chairman Emeritus,4/4/2023 5:01,California,,1929,1,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +352,6800,Finance & Investments,John Overdeck,53,United States,Millburn,Hedge funds,Finance & Investments,United States,Two Sigma,TRUE,U,M,12/21/1969 0:00,Overdeck,John,Investor,4/4/2023 5:01,New Jersey,Northeast,1969,12,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +352,6800,Finance & Investments,David Siegel,61,United States,Scarsdale,Hedge funds,Finance & Investments,United States,Two Sigma,TRUE,U,M,7/15/1961 0:00,Siegel,David,Investor,4/4/2023 5:01,New York,Northeast,1961,7,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +352,6800,Diversified,Viktor Vekselberg,65,Russia,Moscow,"Metals, investments",Diversified,Russia,,TRUE,U,M,4/14/1957 0:00,Vekselberg,Viktor,,4/4/2023 5:01,,,1957,4,14,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +352,6800,Technology,Wang Laisheng,58,China,Shenzhen,Electronics components,Technology,Hong Kong,,TRUE,D,M,12/14/1964 0:00,Wang,Laisheng,,4/4/2023 5:01,,,1964,12,14,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +352,6800,Energy,Randa Duncan Williams,61,United States,Houston,Pipelines,Energy,United States,Enterprise GP Holdings,FALSE,U,F,8/28/1961 0:00,Williams,Randa Duncan,Non-Executive Chairman of the Board,4/4/2023 5:01,Texas,South,1961,8,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +365,6700,Finance & Investments,Ken Fisher,72,United States,Dallas,Money management,Finance & Investments,United States,,TRUE,U,M,11/29/1950 0:00,Fisher,Ken,,4/4/2023 5:01,Texas,South,1950,11,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +365,6700,Finance & Investments,Christopher Hohn,56,United Kingdom,London,Hedge funds,Finance & Investments,United Kingdom,The Children's Investment Fund Management,TRUE,D,M,10/27/1966 0:00,Hohn,Christopher,Investor,4/4/2023 5:01,,,1966,10,27,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +365,6700,Manufacturing,Kjeld Kirk Kristiansen,75,Denmark,Billund,Lego,Manufacturing,Denmark,,FALSE,D,M,12/27/1947 0:00,Kristiansen,Kjeld Kirk,,4/4/2023 5:01,,,1947,12,27,110.35,0.8,"$348,078,018,464 ",80.6,101.3,81,32.4,23.8,5818553,56.26392,9.501785 +365,6700,Manufacturing,Sofie Kirk Kristiansen,47,Denmark,Billund,Lego,Manufacturing,Denmark,,FALSE,D,F,1/1/1976 0:00,Kristiansen,Sofie Kirk,,4/4/2023 5:01,,,1976,1,1,110.35,0.8,"$348,078,018,464 ",80.6,101.3,81,32.4,23.8,5818553,56.26392,9.501785 +365,6700,Manufacturing,Thomas Kirk Kristiansen,44,Denmark,Billund,Lego,Manufacturing,Denmark,,FALSE,D,M,1/1/1979 0:00,Kristiansen,Thomas Kirk,,4/4/2023 5:01,,,1979,1,1,110.35,0.8,"$348,078,018,464 ",80.6,101.3,81,32.4,23.8,5818553,56.26392,9.501785 +365,6700,Healthcare,Massimiliana Landini Aleotti & family,80,Italy,Fiesole,Pharmaceuticals,Healthcare,Italy,,FALSE,U,F,1/1/1943 0:00,Landini Aleotti,Massimiliana,,4/4/2023 5:01,,,1943,1,1,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +365,6700,Automotive,Li Ping,55,China,Ningde,Batteries,Automotive,Hong Kong,,TRUE,D,M,1/1/1968 0:00,Li,Ping,,4/4/2023 5:01,,,1968,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +365,6700,Manufacturing,Lin Jianhua,60,China,Hangzhou,Solar panel components,Manufacturing,China,,TRUE,Split Family Fortune,M,8/1/1962 0:00,Lin,Jianhua,,4/4/2023 5:01,,,1962,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +365,6700,Manufacturing,Magdalena Martullo-Blocher,54,Switzerland,Feldmeilen,Chemicals,Manufacturing,Switzerland,,FALSE,D,F,1/1/1969 0:00,Martullo-Blocher,Magdalena,,4/4/2023 5:01,,,1969,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +365,6700,Telecom,Xavier Niel,55,France,Paris,"Internet, telecom",Telecom,France,,TRUE,D,M,8/25/1967 0:00,Niel,Xavier,,4/4/2023 5:01,,,1967,8,25,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +365,6700,Energy,Terrence Pegula,72,United States,Boca Raton,Natural gas,Energy,United States,Buffalo Sabres,TRUE,U,M,3/27/1951 0:00,Pegula,Terrence,Owner,4/4/2023 5:01,Florida,South,1951,3,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +365,6700,Real Estate,"Edward Roski, Jr.",84,United States,Los Angeles,Real estate,Real Estate,United States,"Majestic Realty, Co.",FALSE,U,M,12/25/1938 0:00,Roski,Edward,President and Chairman,4/4/2023 5:01,California,West,1938,12,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +365,6700,Real Estate,John A. Sobrato & family,83,United States,Atherton,Real estate,Real Estate,United States,Sobrato Development Cos.,TRUE,U,M,5/23/1939 0:00,Sobrato,John A.,Founder and Chairman,4/4/2023 5:01,California,West,1939,5,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +365,6700,Finance & Investments,George Soros,92,United States,Katonah,Hedge funds,Finance & Investments,United States,Soros Fund Management LLC,TRUE,D,M,8/12/1930 0:00,Soros,George,Founder,4/4/2023 5:01,New York,Northeast,1930,8,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +365,6700,Technology,David Sun,71,United States,Irvine,Computer hardware,Technology,United States,Kingston Technology Corporation,TRUE,U,M,10/12/1951 0:00,Sun,David,COO,4/4/2023 5:01,California,West,1951,10,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +365,6700,Manufacturing,Agnete Kirk Thinggaard,39,Denmark,Billund,Lego,Manufacturing,Denmark,,FALSE,D,F,5/18/1983 0:00,Thinggaard,Agnete Kirk,,4/4/2023 5:01,,,1983,5,18,110.35,0.8,"$348,078,018,464 ",80.6,101.3,81,32.4,23.8,5818553,56.26392,9.501785 +365,6700,Technology,John Tu,81,United States,Rolling Hills,Computer hardware,Technology,United States,Kingston Technology Corporation,TRUE,U,M,8/12/1941 0:00,Tu,John,President,4/4/2023 5:01,California,West,1941,8,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +365,6700,Food & Beverage,Xu Shihui,65,China,Quanzhou,"Snacks, beverages",Food & Beverage,China,,TRUE,D,M,1/1/1958 0:00,Xu,Shihui,,4/4/2023 5:01,,,1958,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +383,6600,Manufacturing,Rahel Blocher,47,Switzerland,Wilen bei Wollerau,Chemicals,Manufacturing,Switzerland,,FALSE,D,F,1/1/1976 0:00,Blocher,Rahel,,4/4/2023 5:01,,,1976,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +383,6600,Food & Beverage,Bubba Cathy,68,United States,Atlanta,Chick-fil-A,Food & Beverage,United States,,FALSE,U,M,4/22/1954 0:00,Cathy,Bubba,,4/4/2023 5:01,Georgia,South,1954,4,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +383,6600,Food & Beverage,Dan Cathy,70,United States,Atlanta,Chick-fil-A,Food & Beverage,United States,,FALSE,U,M,3/1/1953 0:00,Cathy,Dan,,4/4/2023 5:01,Georgia,South,1953,3,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +383,6600,Food & Beverage,Trudy Cathy White,67,United States,Hampton,Chick-fil-A,Food & Beverage,United States,,FALSE,U,F,12/17/1955 0:00,Cathy White,Trudy,,4/4/2023 5:01,Georgia,South,1955,12,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +383,6600,Finance & Investments,Bruce Kovner,78,United States,New York,Hedge funds,Finance & Investments,United States,Caxton Associates LP,TRUE,U,M,2/25/1945 0:00,Kovner,Bruce,Founder,4/4/2023 5:01,New York,Northeast,1945,2,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +383,6600,Technology,"Henry Nicholas, III.",63,United States,Newport Coast,Semiconductors,Technology,United States,Broadcom,TRUE,U,M,10/8/1959 0:00,Nicholas,Henry,Cofounder,4/4/2023 5:01,California,West,1959,10,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +383,6600,Finance & Investments,Nadia Thiele,47,Germany,Munich,Investments,Finance & Investments,Germany,,FALSE,U,F,1/7/1976 0:00,Thiele,Nadia,,4/4/2023 5:01,,,1976,1,7,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +390,6500,Finance & Investments,David Bonderman,80,United States,Fort Worth,Private equity,Finance & Investments,United States,,TRUE,U,M,11/27/1942 0:00,Bonderman,David,,4/4/2023 5:01,Texas,South,1942,11,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +390,6500,Technology,Melinda French Gates,58,United States,Medina,Microsoft,Technology,United States,Bill & Melinda Gates Foundation,FALSE,U,F,8/15/1964 0:00,French Gates,Melinda,Cochair,4/4/2023 5:01,Washington,West,1964,8,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +390,6500,Fashion & Retail,Nathan Kirsh,91,Eswatini (Swaziland),Ezulwini,"Retail, real estate",Fashion & Retail,Eswatini (Swaziland),,TRUE,U,M,1/6/1932 0:00,Kirsh,Nathan,,4/4/2023 5:01,,,1932,1,6,,,,,,,,,,, +390,6500,Real Estate,Annette Lerner & family,93,United States,Chevy Chase,Real estate,Real Estate,United States,,FALSE,N,F,2/27/1930 0:00,Lerner,Annette,,4/4/2023 5:01,Maryland,South,1930,2,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +390,6500,Real Estate,David Reuben,84,United Kingdom,London,"Investments, real estate",Real Estate,United Kingdom,,TRUE,D,M,9/1/1938 0:00,Reuben,David,,4/4/2023 5:01,,,1938,9,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +390,6500,Diversified,Simon Reuben,81,Monaco,Monaco,"Real estate, investments",Diversified,United Kingdom,,TRUE,D,M,5/1/1941 0:00,Reuben,Simon,,4/4/2023 5:01,,,1941,5,1,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +390,6500,Real Estate,Radovan Vitek,51,Switzerland,Crans Montana,Real estate,Real Estate,Czech Republic,,TRUE,U,M,4/22/1971 0:00,Vitek,Radovan,,4/4/2023 5:01,,,1971,4,22,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +397,6400,Finance & Investments,Carl Bennet,71,Sweden,Gothenberg,Investments,Finance & Investments,Sweden,,TRUE,D,M,8/19/1951 0:00,Bennet,Carl,,4/4/2023 5:01,,,1951,8,19,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +397,6400,Sports,Stephen Bisciotti,62,United States,Hobe Sound,"Staffing, Baltimore Ravens",Sports,United States,Baltimore Ravens,TRUE,U,M,4/10/1960 0:00,Bisciotti,Stephen,Owner,4/4/2023 5:01,Florida,South,1960,4,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +397,6400,Finance & Investments,Stanley Druckenmiller,69,United States,New York,Hedge funds,Finance & Investments,United States,Duquesne Family Office,TRUE,D,M,6/14/1953 0:00,Druckenmiller,Stanley,Founder,4/4/2023 5:01,New York,Northeast,1953,6,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +397,6400,Healthcare,Jian Jun,59,China,Beijing,Biomedical products,Healthcare,China,,TRUE,U,F,11/1/1963 0:00,Jian,Jun,,4/4/2023 5:01,,,1963,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +397,6400,Energy,Alexei Kuzmichev,60,France,Paris,"Oil, banking, telecom",Energy,Russia,,TRUE,U,M,10/15/1962 0:00,Kuzmichev,Alexei,,4/4/2023 5:01,,,1962,10,15,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +397,6400,Manufacturing,Dmitry Rybolovlev & family,56,Monaco,Monaco,Fertilizer,Manufacturing,Russia,,TRUE,D,M,11/22/1966 0:00,Rybolovlev,Dmitry,,4/4/2023 5:01,,,1966,11,22,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +397,6400,Finance & Investments,Luis Carlos Sarmiento,90,Colombia,Bogota,Banking,Finance & Investments,Colombia,,TRUE,D,M,1/27/1933 0:00,Sarmiento,Luis Carlos,,4/4/2023 5:01,,,1933,1,27,140.95,3.5,"$323,802,808,108 ",55.3,114.5,77.1,14.4,71.2,50339443,4.570868,-74.297333 +397,6400,Logistics,Dennis Washington,88,United States,Missoula,"Construction, mining",Logistics,United States,,TRUE,D,M,7/27/1934 0:00,Washington,Dennis,,4/4/2023 5:01,Montana,West,1934,7,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +405,6300,Construction & Engineering,Anthony Bamford & family,77,United Kingdom,Gloucestershire,Construction equipment,Construction & Engineering,United Kingdom,,FALSE,U,M,10/23/1945 0:00,Bamford,Anthony,,4/4/2023 5:01,,,1945,10,23,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +405,6300,Energy,Gao Jifan & family,58,China,Changzhou,Solar equipment,Energy,China,,TRUE,D,M,1/1/1965 0:00,Gao,Jifan,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +405,6300,Finance & Investments,John Grayken,66,United Kingdom,London,Private equity,Finance & Investments,Ireland,,TRUE,D,M,6/1/1956 0:00,Grayken,John,Investor,4/4/2023 5:01,,,1956,6,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +405,6300,Healthcare,Alain Merieux & family,85,France,Lyon,Pharmaceuticals,Healthcare,France,,FALSE,D,M,1/1/1938 0:00,Merieux,Alain,,4/4/2023 5:01,,,1938,1,1,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +405,6300,Energy,Wang Yusuo & family,59,China,Langfang,Natural gas distribution,Energy,China,,TRUE,U,M,3/11/1964 0:00,Wang,Yusuo,,4/4/2023 5:01,,,1964,3,11,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +405,6300,Manufacturing,Stef Wertheimer & family,96,Israel,Tel Aviv,Metalworking tools,Manufacturing,Israel,,TRUE,U,M,7/16/1926 0:00,Wertheimer,Stef,,4/4/2023 5:01,,,1926,7,16,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +411,6200,Food & Beverage,Maria Asuncion Aramburuzabala & family,59,Mexico,Mexico City,"Beer, investments",Food & Beverage,Mexico,,FALSE,E,F,5/2/1963 0:00,Aramburuzabala,Maria Asuncion,,4/4/2023 5:01,,,1963,5,2,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +411,6200,Diversified,Gustaf Douglas,85,Sweden,Stockholm,Investments,Diversified,Sweden,,TRUE,D,M,3/3/1938 0:00,Douglas,Gustaf,,4/4/2023 5:01,,,1938,3,3,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +411,6200,Service,Frits Goldschmeding,89,Netherlands,Amsterdam,Temp agency,Service,Netherlands,,TRUE,U,M,8/2/1933 0:00,Goldschmeding,Frits,,4/4/2023 5:01,,,1933,8,2,115.91,2.6,"$909,070,395,161 ",85,104.2,81.8,23,41.2,17332850,52.132633,5.291266 +411,6200,Food & Beverage,Lin Muqin & family,59,China,Shenzhen,Beverages,Food & Beverage,China,,TRUE,U,M,1/1/1964 0:00,Lin,Muqin,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +411,6200,Manufacturing,Ruan Liping,59,China,Ningbo,Power strips,Manufacturing,Hong Kong,,TRUE,U,M,1/1/1964 0:00,Ruan,Liping,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +411,6200,Manufacturing,Ruan Xueping,51,China,Ningbo,Power strip,Manufacturing,Hong Kong,,TRUE,U,M,1/1/1972 0:00,Ruan,Xueping,,4/4/2023 5:01,,,1972,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +411,6200,Finance & Investments,Michal Solowow,60,Poland,Kielce,Investments,Finance & Investments,Poland,,TRUE,E,M,7/11/1962 0:00,Solowow,Michal,,4/4/2023 5:01,,,1962,7,11,114.11,2.2,"$592,164,400,688 ",67.8,100,77.6,17.4,40.8,37970874,51.919438,19.145136 +418,6100,Diversified,Mike Adenuga,69,Nigeria,Lagos,"Telecom, oil",Diversified,Nigeria,,TRUE,D,M,4/29/1953 0:00,Adenuga,Mike,,4/4/2023 5:01,,,1953,4,29,267.51,11.4,"$448,120,428,859 ",10.2,84.7,54.3,1.5,34.8,200963599,9.081999,8.675277 +418,6100,Finance & Investments,Tom Gores,58,United States,Beverly Hills,Private equity,Finance & Investments,United States,,TRUE,U,M,7/31/1964 0:00,Gores,Tom,,4/4/2023 5:01,California,West,1964,7,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +418,6100,Fashion & Retail,Michael Herz,79,Germany,Hamburg,Coffee,Fashion & Retail,Germany,,FALSE,U,M,9/28/1943 0:00,Herz,Michael,,4/4/2023 5:01,,,1943,9,28,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +418,6100,Fashion & Retail,Wolfgang Herz,72,Germany,Hamburg,Coffee,Fashion & Retail,Germany,,FALSE,U,M,1/1/1951 0:00,Herz,Wolfgang,,4/4/2023 5:01,,,1951,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +418,6100,Energy,Michael Kadoorie,81,Hong Kong,Hong Kong,"Hotels, energy",Energy,Hong Kong,,FALSE,D,M,7/19/1941 0:00,Kadoorie,Michael,,4/4/2023 5:01,,,1941,7,19,,,,,,,,,,, +418,6100,Telecom,Sunil Mittal,65,,,Telecom,Telecom,India,,TRUE,Split Family Fortune,M,10/23/1957 0:00,Mittal,Sunil,,4/4/2023 5:01,,,1957,10,23,,,,,,,,,,, +418,6100,Technology,Zhou Qunfei,53,Hong Kong,Hong Kong,Smartphone screens,Technology,Hong Kong,Lens Technology,TRUE,D,F,,Zhou,Qunfei,Founder and CEO,4/4/2023 5:01,,,,,,,,,,,,,,,, +425,6000,Metals & Mining,Alexander Abramov,64,Russia,Moscow,"Steel, mining",Metals & Mining,Russia,,TRUE,U,M,2/20/1959 0:00,Abramov,Alexander,,4/4/2023 5:01,,,1959,2,20,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +425,6000,Real Estate,Rene Benko,46,Austria,,"Real estate, retail",Real Estate,Austria,,TRUE,U,M,3/20/1977 0:00,Benko,Rene,,4/4/2023 5:01,,,1977,3,20,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +425,6000,Real Estate,Neil Bluhm,85,United States,Chicago,Real estate,Real Estate,United States,,TRUE,U,M,1/12/1938 0:00,Bluhm,Neil,,4/4/2023 5:01,Illinois,Midwest,1938,1,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +425,6000,Fashion & Retail,Alain Bouchard,74,Canada,Montreal,Convinience stores,Fashion & Retail,Canada,Alimentation Couche Tard Inc. Cl A,TRUE,U,M,2/18/1949 0:00,Bouchard,Alain,Chairman and CEO,4/4/2023 5:01,,,1949,2,18,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +425,6000,Technology,Jay Chaudhry,63,United States,Reno,Security software,Technology,United States,,TRUE,D,M,8/26/1959 0:00,Chaudhry,Jay,,4/4/2023 5:01,Nevada,West,1959,8,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +425,6000,Fashion & Retail,Gopikishan Damani,65,India,Mumbai,"Retail, investments",Fashion & Retail,India,,TRUE,D,M,1/1/1958 0:00,Damani,Gopikishan,,4/4/2023 5:01,,,1958,1,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +425,6000,Diversified,Sumet Jiaravanon,88,Thailand,Bangkok,Diversified,Diversified,Thailand,,FALSE,U,M,11/2/1934 0:00,Jiaravanon,Sumet,,4/4/2023 5:01,,,1934,11,2,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +425,6000,Finance & Investments,Joe Lewis,86,Bahamas,Albany,Investments,Finance & Investments,United Kingdom,,TRUE,U,M,2/5/1937 0:00,Lewis,Joe,,4/4/2023 5:01,,,1937,2,5,,,,,,,,,,, +425,6000,Finance & Investments,Frank Lowy,92,Israel,Tel Aviv,Investments,Finance & Investments,Australia,,TRUE,D,M,10/22/1930 0:00,Lowy,Frank,,4/4/2023 5:01,,,1930,10,22,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +425,6000,Finance & Investments,Michael Milken,76,United States,Los Angeles,Investments,Finance & Investments,United States,,TRUE,U,M,7/4/1946 0:00,Milken,Michael,,4/4/2023 5:01,California,West,1946,7,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +425,6000,Technology,David Steward,71,United States,St. Louis,IT provider,Technology,United States,,TRUE,U,M,7/2/1951 0:00,Steward,David,,4/4/2023 5:01,Missouri,Midwest,1951,7,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +425,6000,Fashion & Retail,Les Wexner & family,85,United States,New Albany,Retail,Fashion & Retail,United States,,TRUE,U,M,9/8/1937 0:00,Wexner,Les,,4/4/2023 5:01,Ohio,Midwest,1937,9,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +437,5900,Real Estate,Cai Kui,60,China,Chengdu,Real estate,Real Estate,China,,TRUE,D,M,1/1/1963 0:00,Cai,Kui,,4/4/2023 5:01,,,1963,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +437,5900,Diversified,Jaran Chiaravanont,93,Thailand,Bangkok,Diversified,Diversified,Thailand,,FALSE,U,M,4/1/1930 0:00,Chiaravanont,Jaran,,4/4/2023 5:01,,,1930,4,1,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +437,5900,Finance & Investments,Andreas Halvorsen,61,United States,Darien,Hedge funds,Finance & Investments,Norway,Viking Global Investors,TRUE,D,M,4/23/1961 0:00,Halvorsen,Andreas,Investor,4/4/2023 5:01,Connecticut,Northeast,1961,4,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +437,5900,Finance & Investments,Antony Ressler,62,United States,Los Angeles,Finance,Finance & Investments,United States,,TRUE,U,M,10/12/1960 0:00,Ressler,Antony,,4/4/2023 5:01,California,West,1960,10,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +437,5900,Food & Beverage,Tsai Eng-meng,66,China,Shanghai,"Food, beverages",Food & Beverage,Taiwan,,FALSE,D,M,1/15/1957 0:00,Tsai,Eng-meng,,4/4/2023 5:01,,,1957,1,15,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +442,5800,Finance & Investments,Josh Harris,58,United States,Miami,Private equity,Finance & Investments,United States,,TRUE,E,M,12/29/1964 0:00,Harris,Josh,,4/4/2023 5:01,Florida,South,1964,12,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +442,5800,Healthcare,Niels Peter Louis-Hansen,75,Denmark,Humlebaek,Medical devices,Healthcare,Denmark,,FALSE,D,M,10/25/1947 0:00,Louis-Hansen,Niels Peter,,4/4/2023 5:01,,,1947,10,25,110.35,0.8,"$348,078,018,464 ",80.6,101.3,81,32.4,23.8,5818553,56.26392,9.501785 +442,5800,Healthcare,Patrick Soon-Shiong,70,United States,Los Angeles,Pharmaceuticals,Healthcare,United States,,TRUE,D,M,7/29/1952 0:00,Soon-Shiong,Patrick,,4/4/2023 5:01,California,West,1952,7,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +445,5700,Metals & Mining,Rinat Akhmetov,56,Ukraine,Donetsk,"Steel, coal",Metals & Mining,Ukraine,,TRUE,U,M,9/21/1966 0:00,Akhmetov,Rinat,,4/4/2023 5:01,,,1966,9,21,281.66,7.9,"$153,781,069,118 ",82.7,99,71.6,20.1,45.2,44385155,48.379433,31.16558 +445,5700,Healthcare,John Brown,88,United States,Atlanta,Medical equipment,Healthcare,United States,,TRUE,U,M,9/15/1934 0:00,Brown,John,,4/4/2023 5:01,Georgia,South,1934,9,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +445,5700,Media & Entertainment,Clive Calder,76,Cayman Islands,Grand Cayman,Record label,Media & Entertainment,United Kingdom,,TRUE,E,M,12/13/1946 0:00,Calder,Clive,,4/4/2023 5:01,,,1946,12,13,,,,,,,,,,, +445,5700,Energy,Arthur Irving,93,Canada,Saint John,Oil,Energy,Canada,,FALSE,U,M,1/1/1930 0:00,Irving,Arthur,,4/4/2023 5:01,,,1930,1,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +445,5700,Real Estate,Fredrik Lundberg,71,Sweden,Stockholm,"Real estate, investments",Real Estate,Sweden,,FALSE,D,M,8/5/1951 0:00,Lundberg,Fredrik,,4/4/2023 5:01,,,1951,8,5,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +445,5700,Construction & Engineering,Thomas Schmidheiny,77,Switzerland,Jona,Cement,Construction & Engineering,Switzerland,,FALSE,U,M,12/17/1945 0:00,Schmidheiny,Thomas,,4/4/2023 5:01,,,1945,12,17,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +445,5700,Logistics,Helmut Sohmen,83,Hong Kong,Hong Kong,Shipping,Logistics,Austria,,FALSE,U,M,12/10/1939 0:00,Sohmen,Helmut,,4/4/2023 5:01,,,1939,12,10,,,,,,,,,,, +445,5700,Finance & Investments,Daniel Ziff,51,United States,New York,Investments,Finance & Investments,United States,,FALSE,U,M,11/2/1971 0:00,Ziff,Daniel,,4/4/2023 5:01,New York,Northeast,1971,11,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +445,5700,Finance & Investments,Dirk Ziff,59,United States,North Palm Beach,Investments,Finance & Investments,United States,,FALSE,U,M,4/1/1964 0:00,Ziff,Dirk,,4/4/2023 5:01,Florida,South,1964,4,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +445,5700,Finance & Investments,Robert Ziff,56,United States,New York,Investments,Finance & Investments,United States,,FALSE,U,M,8/12/1966 0:00,Ziff,Robert,,4/4/2023 5:01,New York,Northeast,1966,8,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +455,5600,Logistics,Maria Angelicoussis,41,Greece,,Shipping,Logistics,Greece,,FALSE,N,F,2/18/1982 0:00,Angelicoussis,Maria,,4/4/2023 5:01,,,1982,2,18,101.87,0.2,"$209,852,761,469 ",136.6,99.6,81.3,26.2,51.9,10716322,39.074208,21.824312 +455,5600,Energy,Ray Lee Hunt,79,United States,Dallas,"Oil, real estate",Energy,United States,,FALSE,D,M,4/6/1943 0:00,Hunt,Ray Lee,,4/4/2023 5:01,Texas,South,1943,4,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +455,5600,Logistics,Lai Meisong,52,China,Shanghai,Package delivery,Logistics,China,,TRUE,U,M,12/1/1970 0:00,Lai,Meisong,,4/4/2023 5:01,,,1970,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +455,5600,Automotive,Vikram Lal & family,81,India,Delhi,Motorcycles,Automotive,India,,FALSE,U,M,3/5/1942 0:00,Lal,Vikram,,4/4/2023 5:01,,,1942,3,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +455,5600,Finance & Investments,Ken Langone,87,United States,Sands Point,Investments,Finance & Investments,United States,,TRUE,D,M,9/16/1935 0:00,Langone,Ken,,4/4/2023 5:01,New York,Northeast,1935,9,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +455,5600,Healthcare,Li Ge,56,China,Shanghai,Pharmaceutical ingredients,Healthcare,United States,,TRUE,Split Family Fortune,M,1/1/1967 0:00,Li,Ge,,4/4/2023 5:01,,,1967,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +455,5600,Finance & Investments,Karen Pritzker,65,United States,Branford,"Hotels, investments",Finance & Investments,United States,,FALSE,D,F,1/7/1958 0:00,Pritzker,Karen,,4/4/2023 5:01,Connecticut,Northeast,1958,1,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +455,5600,Service,Robert Rowling,69,United States,Dallas,"Hotels, investments",Service,United States,,FALSE,U,M,9/26/1953 0:00,Rowling,Robert,,4/4/2023 5:01,Texas,South,1953,9,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +455,5600,Gambling & Casinos,Teddy Sagi,51,Israel,Tel Aviv,Gambling software,Gambling & Casinos,Israel,,TRUE,E,M,11/1/1971 0:00,Sagi,Teddy,,4/4/2023 5:01,,,1971,11,1,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +455,5600,Healthcare,Seo Jung-jin,65,South Korea,Seoul,Biotech,Healthcare,South Korea,Celltrion Inc.,TRUE,D,M,10/23/1957 0:00,Seo,Jung-jin,,4/4/2023 5:01,,,1957,10,23,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +455,5600,Automotive,Wu Jianshu,59,China,Ningbo,Auto parts,Automotive,Hong Kong,,TRUE,D,M,1/1/1964 0:00,Wu,Jianshu,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +466,5500,Service,Micky Arison,73,United States,Bal Harbour,Carnival Cruises,Service,United States,Carnival Corp.,FALSE,D,M,6/29/1949 0:00,Arison,Micky,Chairman and CEO,4/4/2023 5:01,Florida,South,1949,6,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +466,5500,Media & Entertainment,James Chambers,65,United States,Palisades,"Media, automotive",Media & Entertainment,United States,,FALSE,U,M,4/12/1957 0:00,Chambers,James,,4/4/2023 5:01,New York,Northeast,1957,4,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +466,5500,Technology,Pierre Chen,66,Taiwan,Taipei,Electronics,Technology,Taiwan,,TRUE,U,M,9/28/1956 0:00,Chen,Pierre,,4/4/2023 5:01,,,1956,9,28,,,,,,,,,,, +466,5500,Technology,John Collison,32,United States,San Francisco,Payments software,Technology,Ireland,Stripe,TRUE,D,M,8/6/1990 0:00,Collison,John,Cofounder,4/4/2023 5:01,California,West,1990,8,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +466,5500,Technology,Patrick Collison,34,United States,San Francisco,Payment software,Technology,Ireland,Stripe,TRUE,D,M,9/9/1988 0:00,Collison,Patrick,Cofounder,4/4/2023 5:01,California,West,1988,9,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +466,5500,Manufacturing,Archie Aldis Emmerson & family,93,United States,Redding,"Timberland, lumber mills",Manufacturing,United States,,TRUE,U,M,4/10/1929 0:00,Emmerson,Archie Aldis,,4/4/2023 5:01,California,West,1929,4,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +466,5500,Automotive,Piero Ferrari,77,Italy,Modena,Automobiles,Automotive,Italy,,FALSE,U,M,5/22/1945 0:00,Ferrari,Piero,,4/4/2023 5:01,,,1945,5,22,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +466,5500,Automotive,Dan Friedkin,58,United States,Houston,Toyota dealerships,Automotive,United States,Gulf States Toyota,FALSE,U,M,2/27/1965 0:00,Friedkin,Dan,owner and ceo,4/4/2023 5:01,Texas,South,1965,2,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +466,5500,Diversified,James Irving,95,Canada,Saint John,Diversified,Diversified,Canada,,FALSE,U,M,3/20/1928 0:00,Irving,James,,4/4/2023 5:01,,,1928,3,20,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +466,5500,Manufacturing,Jiang Weiping & family,68,China,Chengdu,Chemicals,Manufacturing,China,,TRUE,D,M,3/1/1955 0:00,Jiang,Weiping,,4/4/2023 5:01,,,1955,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +466,5500,Healthcare,Wolfgang Marguerre & family,81,Germany,Heidelberg,Pharmaceuticals,Healthcare,Germany,,TRUE,U,M,6/4/1941 0:00,Marguerre,Wolfgang,,4/4/2023 5:01,,,1941,6,4,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +466,5500,Finance & Investments,Ludwig Merckle,58,Germany,Ulm,Pharmaceuticals,Finance & Investments,Germany,,FALSE,D,M,1/1/1965 0:00,Merckle,Ludwig,,4/4/2023 5:01,,,1965,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +466,5500,Manufacturing,Mitchell Rales,66,United States,Potomac,"Manufacturing, investments",Manufacturing,United States,,TRUE,D,M,8/21/1956 0:00,Rales,Mitchell,,4/4/2023 5:01,Maryland,South,1956,8,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +466,5500,Media & Entertainment,Katharine Rayner,78,United States,East Hampton,"Media, automotive",Media & Entertainment,United States,,FALSE,U,F,1/12/1945 0:00,Rayner,Katharine,,4/4/2023 5:01,New York,Northeast,1945,1,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +466,5500,Finance & Investments,Jean Salata,57,Hong Kong,Hong Kong,Finance,Finance & Investments,Chile,,TRUE,U,M,12/1/1965 0:00,Salata,Jean,,4/4/2023 5:01,,,1965,12,1,,,,,,,,,,, +466,5500,Finance & Investments,Paul Singer,78,United States,New York,Hedge funds,Finance & Investments,United States,Elliott Management,TRUE,U,M,8/22/1944 0:00,Singer,Paul,Investor,4/4/2023 5:01,New York,Northeast,1944,8,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +466,5500,Healthcare,Sergio Stevanato & family,80,Italy,Venice,Medical packaging,Healthcare,Italy,,TRUE,U,M,3/20/1943 0:00,Stevanato,Sergio,,4/4/2023 5:01,,,1943,3,20,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +466,5500,Media & Entertainment,Margaretta Taylor,80,United States,Southampton,"Media, automotive",Media & Entertainment,United States,,FALSE,U,F,4/15/1942 0:00,Taylor,Margaretta,,4/4/2023 5:01,New York,Northeast,1942,4,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +466,5500,Technology,Richard White,68,Australia,Sydney,Software,Technology,Australia,,TRUE,U,M,4/1/1955 0:00,White,Richard,,4/4/2023 5:01,,,1955,4,1,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +466,5500,Diversified,Zhao Yan,56,China,Beijing,Biotech,Diversified,China,,TRUE,D,F,1/1/1967 0:00,Zhao,Yan,,4/4/2023 5:01,,,1967,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +486,5400,Fashion & Retail,Patrizio Bertelli,77,Italy,Milan,Luxury goods,Fashion & Retail,Italy,,TRUE,U,M,1/1/1946 0:00,Bertelli,Patrizio,,4/4/2023 5:01,,,1946,1,1,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +486,5400,Manufacturing,Mahendra Choksi & family,81,India,Mumbai,Paints,Manufacturing,India,,FALSE,D,M,4/19/1941 0:00,Choksi,Mahendra,,4/4/2023 5:01,,,1941,4,19,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +486,5400,Finance & Investments,Mat Ishbia,43,United States,Bloomfield Hills,Mortgage lender,Finance & Investments,United States,,FALSE,U,M,1/6/1980 0:00,Ishbia,Mat,,4/4/2023 5:01,Michigan,Midwest,1980,1,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +486,5400,Technology,Leo Koguan,68,Singapore,Singapore,IT provider,Technology,United States,,TRUE,D,M,2/15/1955 0:00,Koguan,Leo,,4/4/2023 5:01,,,1955,2,15,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +486,5400,Diversified,Miao Hangen,58,China,Suzhou,"Textiles, petrochemicals",Diversified,China,,TRUE,D,M,1/1/1965 0:00,Miao,Hangen,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +486,5400,Manufacturing,Michael Pieper,77,Switzerland,Lucerne,Kitchen appliances,Manufacturing,Switzerland,Artemis Real Estate Partners,TRUE,U,M,2/5/1946 0:00,Pieper,Michael,CEO of Artemis Group,4/4/2023 5:01,,,1946,2,5,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +486,5400,Fashion & Retail,Miuccia Prada,73,Italy,Milan,Luxury goods,Fashion & Retail,Italy,Prada,FALSE,U,F,5/10/1949 0:00,Prada,Miuccia,"CEO, Fashion Designer",4/4/2023 5:01,,,1949,5,10,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +486,5400,Fashion & Retail,Wolfgang Reimann,70,Germany,Passau,Consumer goods,Fashion & Retail,Germany,,FALSE,D,M,10/4/1952 0:00,Reimann,Wolfgang,,4/4/2023 5:01,,,1952,10,4,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +486,5400,Fashion & Retail,Matthias Reimann-Andersen,58,Germany,Munich,Consumer goods,Fashion & Retail,Germany,,FALSE,D,M,3/30/1965 0:00,Reimann-Andersen,Matthias,,4/4/2023 5:01,,,1965,3,30,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +486,5400,Fashion & Retail,Stefan Reimann-Andersen,59,Austria,Vienna,Consumer goods,Fashion & Retail,Germany,,FALSE,D,M,7/13/1963 0:00,Reimann-Andersen,Stefan,,4/4/2023 5:01,,,1963,7,13,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +486,5400,Fashion & Retail,Renate Reimann-Haas,71,Austria,Vienna,Consumer goods,Fashion & Retail,Germany,,FALSE,D,F,10/8/1951 0:00,Reimann-Haas,Renate,,4/4/2023 5:01,,,1951,10,8,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +497,5300,Finance & Investments,Todd Boehly,49,United States,Darien,Finance,Finance & Investments,United States,,TRUE,U,M,9/20/1973 0:00,Boehly,Todd,,4/4/2023 5:01,Connecticut,Northeast,1973,9,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +497,5300,Real Estate,Rick Caruso,64,United States,Los Angeles,Real estate,Real Estate,United States,,TRUE,U,M,1/7/1959 0:00,Caruso,Rick,,4/4/2023 5:01,California,West,1959,1,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +497,5300,Manufacturing,Ibrahim Erdemoglu,60,Turkey,Istanbul,Carpet,Manufacturing,Turkey,,TRUE,U,M,9/26/1962 0:00,Erdemoglu,Ibrahim,,4/4/2023 5:01,,,1962,9,26,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +497,5300,Finance & Investments,Elizabeth Johnson,59,United States,Boston,Fidelity,Finance & Investments,United States,,FALSE,U,F,5/7/1963 0:00,Johnson,Elizabeth,,4/4/2023 5:01,Massachusetts,Northeast,1963,5,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +497,5300,Finance & Investments,Douglas Leone,65,United States,Atherton,Venture capital,Finance & Investments,United States,Sequoia,TRUE,D,M,7/4/1957 0:00,Leone,Douglas,Global Managing Partner,4/4/2023 5:01,California,West,1957,7,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +497,5300,Diversified,Prajogo Pangestu,78,Indonesia,Jakarta,Petrochemicals,Diversified,Indonesia,,FALSE,D,M,5/13/1944 0:00,Pangestu,Prajogo,,4/4/2023 5:01,,,1944,5,13,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +497,5300,Finance & Investments,Thomas Pritzker,72,United States,Chicago,"Hotels, investments",Finance & Investments,United States,Hyatt Hotels,FALSE,U,M,6/6/1950 0:00,Pritzker,Thomas,Executive Chairman,4/4/2023 5:01,Illinois,Midwest,1950,6,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +497,5300,Food & Beverage,Lynda Resnick,80,United States,Beverly Hills,Agriculture,Food & Beverage,United States,,TRUE,Split Family Fortune,F,1/2/1943 0:00,Resnick,Lynda,,4/4/2023 5:01,California,West,1943,1,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +497,5300,Food & Beverage,Stewart Resnick,86,United States,Beverly Hills,Agriculture,Food & Beverage,United States,,TRUE,Split Family Fortune,M,12/24/1936 0:00,Resnick,Stewart,,4/4/2023 5:01,California,West,1936,12,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +497,5300,Service,Gary Rollins,78,United States,Atlanta,Pest control,Service,United States,,FALSE,E,M,8/30/1944 0:00,Rollins,Gary,,4/4/2023 5:01,Georgia,South,1944,8,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +497,5300,Finance & Investments,Mark Walter,62,United States,Chicago,"Finance, asset management",Finance & Investments,United States,Guggenheim Partners LLC,TRUE,U,M,5/22/1960 0:00,Walter,Mark,CEO,4/4/2023 5:01,Illinois,Midwest,1960,5,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +497,5300,Manufacturing,Ronald Wanek,81,United States,Saint Petersburg,Furniture,Manufacturing,United States,,TRUE,D,M,5/19/1941 0:00,Wanek,Ronald,,4/4/2023 5:01,Florida,South,1941,5,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +497,5300,Food & Beverage,Erich Wesjohann & family,77,Germany,Visbek,Poultry genetics,Food & Beverage,Germany,,TRUE,D,M,6/2/1945 0:00,Wesjohann,Erich,,4/4/2023 5:01,,,1945,6,2,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +497,5300,Fashion & Retail,M.A. Yusuff Ali,67,United Arab Emirates,Abu Dhabi,Retail,Fashion & Retail,India,,TRUE,D,M,11/15/1955 0:00,Yusuff Ali,M.A.,,4/4/2023 5:01,,,1955,11,15,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +511,5200,Finance & Investments,Alexandre Behring,56,United States,Greenwich,Investments,Finance & Investments,Brazil,,TRUE,U,M,2/20/1967 0:00,Behring,Alexandre,,4/4/2023 5:01,Connecticut,Northeast,1967,2,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +511,5200,Food & Beverage,Cheng Xue,53,China,Foshan,Soy sauce,Food & Beverage,China,,TRUE,D,F,2/26/1970 0:00,Cheng,Xue,,4/4/2023 5:01,,,1970,2,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +511,5200,Real Estate,Robert Faith,59,United States,Charleston,Real estate management,Real Estate,United States,,TRUE,N,M,10/3/1963 0:00,Faith,Robert,,4/4/2023 5:01,South Carolina,South,1963,10,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +511,5200,Fashion & Retail,Gao Dekang & family,71,China,Changshu,Apparel,Fashion & Retail,China,,TRUE,U,M,2/1/1952 0:00,Gao,Dekang,,4/4/2023 5:01,,,1952,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +511,5200,Fashion & Retail,Micky Jagtiani,71,United Arab Emirates,Dubai,Retail,Fashion & Retail,India,,FALSE,U,M,9/28/1951 0:00,Jagtiani,Micky,,4/4/2023 5:01,,,1951,9,28,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +511,5200,Telecom,Ananda Krishnan,85,Malaysia,Kuala Lumpur,"Telecoms, media, oil-services",Telecom,Malaysia,,TRUE,D,M,4/1/1938 0:00,Krishnan,Ananda,,4/4/2023 5:01,,,1938,4,1,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +511,5200,Technology,Barry Lam,73,Taiwan,Taipei,Electronics,Technology,Taiwan,,TRUE,D,M,4/24/1949 0:00,Lam,Barry,,4/4/2023 5:01,,,1949,4,24,,,,,,,,,,, +511,5200,Food & Beverage,"Robert Rich, Jr.",82,United States,Islamorada,Frozen foods,Food & Beverage,United States,,FALSE,U,M,1/25/1941 0:00,Rich,Robert,,4/4/2023 5:01,Florida,South,1941,1,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +511,5200,Gambling & Casinos,Mark Scheinberg,49,United Kingdom,Isle of Man,Online gambling,Gambling & Casinos,Canada,,TRUE,D,M,12/27/1973 0:00,Scheinberg,Mark,,4/4/2023 5:01,,,1973,12,27,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +511,5200,Technology,Charles Simonyi,74,United States,Medina,Microsoft,Technology,United States,,TRUE,D,M,9/10/1948 0:00,Simonyi,Charles,,4/4/2023 5:01,Washington,West,1948,9,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +511,5200,Real Estate,Ty Warner,78,United States,Oak Brook,"Plush toys, real estate",Real Estate,United States,,TRUE,U,M,9/3/1944 0:00,Warner,Ty,,4/4/2023 5:01,Illinois,Midwest,1944,9,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +511,5200,Real Estate,Sam Zell,81,United States,Chicago,"Real estate, private equity",Real Estate,United States,,TRUE,D,M,9/28/1941 0:00,Zell,Sam,,4/4/2023 5:01,Illinois,,1941,9,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +523,5100,Manufacturing,Fang Wei,49,China,Beijing,Steel,Manufacturing,China,,TRUE,U,M,9/4/1973 0:00,Fang,Wei,,4/4/2023 5:01,,,1973,9,4,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +523,5100,Finance & Investments,Rekha Jhunjhunwala,59,India,Mumbai,Investments,Finance & Investments,India,,FALSE,N,F,9/12/1963 0:00,Jhunjhunwala,Rekha,,4/4/2023 5:01,,,1963,9,12,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +523,5100,Finance & Investments,Charles B. Johnson,90,United States,Palm Beach,Franklin Templeton,Finance & Investments,United States,Franklin Resources Inc.,FALSE,E,M,1/6/1933 0:00,Johnson,Charles B.,Former Chairman and CEO,4/4/2023 5:01,Florida,South,1933,1,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +523,5100,Media & Entertainment,Kwon Hyuk-bin,49,South Korea,Seoul,Online games,Media & Entertainment,South Korea,Smilegate Holdings,TRUE,D,M,1/1/1974 0:00,Kwon,Hyuk-bin,,4/4/2023 5:01,,,1974,1,1,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +523,5100,Finance & Investments,Sami Mnaymneh,61,United States,Miami Beach,Private equity,Finance & Investments,United States,,TRUE,U,M,7/13/1961 0:00,Mnaymneh,Sami,,4/4/2023 5:01,Florida,South,1961,7,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +523,5100,Logistics,Kjell Inge Rokke,64,Norway,Vettre,"Shipping, seafood",Logistics,Norway,,TRUE,D,M,10/25/1958 0:00,Rokke,Kjell Inge,,4/4/2023 5:01,,,1958,10,25,120.27,2.2,"$403,336,363,636 ",82,100.3,82.8,23.9,36.2,5347896,60.472024,8.468946 +523,5100,Finance & Investments,Tony Tamer,65,United States,New York,Private equity,Finance & Investments,United States,,TRUE,U,M,10/12/1957 0:00,Tamer,Tony,,4/4/2023 5:01,New York,Northeast,1957,10,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +523,5100,Healthcare,Tse Ping & family,71,Hong Kong,Hong Kong,Pharmaceuticals,Healthcare,China,,TRUE,D,M,1/3/1952 0:00,Tse,Ping,,4/4/2023 5:01,,,1952,1,3,,,,,,,,,,, +523,5100,Technology,Romesh T. Wadhwani,75,United States,Palo Alto,Software,Technology,United States,Symphony Technology Group,TRUE,U,M,8/25/1947 0:00,Wadhwani,Romesh T.,Founder and Chairman,4/4/2023 5:01,California,West,1947,8,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +523,5100,Healthcare,Hansjoerg Wyss,88,United States,Wilson,Medical devices,Healthcare,Switzerland,,TRUE,U,M,1/1/1935 0:00,Wyss,Hansjoerg,,4/4/2023 5:01,Wyoming,South,1935,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +523,5100,Sports,Denise York & family,72,United States,Youngstown,San Francisco 49ers,Sports,United States,San Francisco 49ers,FALSE,U,F,10/21/1950 0:00,York,Denise,Co-Chairman,4/4/2023 5:01,Ohio,Midwest,1950,10,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +534,5000,Finance & Investments,Ron Baron,79,United States,New York,Money management,Finance & Investments,United States,,TRUE,U,M,5/23/1943 0:00,Baron,Ron,,4/4/2023 5:01,New York,Northeast,1943,5,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +534,5000,Energy,Robert Bass,75,United States,Fort Worth,"Oil, investments",Energy,United States,,FALSE,D,M,3/19/1948 0:00,Bass,Robert,,4/4/2023 5:01,Texas,South,1948,3,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +534,5000,Healthcare,Dona Bertarelli,55,Switzerland,Gstaad,Biotech and investments,Healthcare,Switzerland,,FALSE,U,F,1/1/1968 0:00,Bertarelli,Dona,,4/4/2023 5:01,,,1968,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +534,5000,Finance & Investments,Alexander Gerko,43,United Kingdom,London,Trading,Finance & Investments,United Kingdom,,TRUE,N,M,12/3/1979 0:00,Gerko,Alexander,,4/4/2023 5:01,,,1979,12,3,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +534,5000,Technology,Martin Haefner,69,Switzerland,Zurich,"Software, investments",Technology,Switzerland,,FALSE,U,M,1/1/1954 0:00,Haefner,Martin,,4/4/2023 5:01,,,1954,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +534,5000,Telecom,"Robert Hale, Jr.",56,United States,Boston,Telecom,Telecom,United States,,TRUE,U,M,7/8/1966 0:00,Hale,Robert,,4/4/2023 5:01,Massachusetts,Northeast,1966,7,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +534,5000,Healthcare,Viktor Kharitonin,50,Russia,Moscow,Pharmaceuticals,Healthcare,Russia,,TRUE,U,M,11/20/1972 0:00,Kharitonin,Viktor,,4/4/2023 5:01,,,1972,11,20,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +534,5000,Technology,Kim Beom-su,57,South Korea,Seoul,Online services,Technology,South Korea,,TRUE,D,M,3/27/1966 0:00,Kim,Beom-su,,4/4/2023 5:01,,,1966,3,27,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +534,5000,Fashion & Retail,Jane Lauder,50,United States,New York,Estée Lauder,Fashion & Retail,United States,,FALSE,D,F,1/1/1973 0:00,Lauder,Jane,,4/4/2023 5:01,New York,Northeast,1973,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +534,5000,Fashion & Retail,Michel Leclercq & family,83,France,Lille,Sporting goods,Fashion & Retail,France,,FALSE,U,M,5/27/1939 0:00,Leclercq,Michel,,4/4/2023 5:01,,,1939,5,27,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +534,5000,Media & Entertainment,George Lucas,78,United States,San Anselmo,Star Wars,Media & Entertainment,United States,,TRUE,D,M,5/14/1944 0:00,Lucas,George,,4/4/2023 5:01,California,West,1944,5,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +534,5000,Sports,Janice McNair,86,United States,Houston,"Energy, sports",Sports,United States,,FALSE,U,F,9/30/1936 0:00,McNair,Janice,,4/4/2023 5:01,Texas,South,1936,9,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +534,5000,Healthcare,Ugur Sahin,57,Germany,Mainz,Biotechnology,Healthcare,Germany,,TRUE,D,M,9/19/1965 0:00,Sahin,Ugur,,4/4/2023 5:01,,,1965,9,19,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +534,5000,Real Estate,Alexandra Schoerghuber & family,64,Germany,Munich,Real estate,Real Estate,Germany,,FALSE,U,F,7/24/1958 0:00,Schoerghuber,Alexandra,,4/4/2023 5:01,,,1958,7,24,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +534,5000,Healthcare,Thomas Straumann,59,Switzerland,Basel,Dental implants,Healthcare,Switzerland,,FALSE,D,M,7/22/1963 0:00,Straumann,Thomas,,4/4/2023 5:01,,,1963,7,22,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +534,5000,Food & Beverage,Murat Ulker,64,Turkey,Istanbul,Food,Food & Beverage,Turkey,,FALSE,U,M,3/23/1959 0:00,Ulker,Murat,,4/4/2023 5:01,,,1959,3,23,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +534,5000,Fashion & Retail,Chip Wilson,66,Canada,Vancouver,Lululemon,Fashion & Retail,Canada,Lululemon,TRUE,D,M,1/1/1957 0:00,Wilson,Chip,Chairman,4/4/2023 5:01,,,1957,1,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +534,5000,Real Estate,Zhu Yan & family,,China,Beijing,Real estate,Real Estate,China,,FALSE,U,F,,Zhu,Yan,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +552,4900,Manufacturing,Jim Davis & family,79,United States,Newton,New Balance,Manufacturing,United States,New Balance,TRUE,D,M,5/17/1943 0:00,Davis,Jim,Chairman,4/4/2023 5:01,Massachusetts,Northeast,1943,5,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +552,4900,Healthcare,Murali Divi & family,72,India,Hyderabad,Pharmaceuticals,Healthcare,India,,TRUE,D,M,3/17/1951 0:00,Divi,Murali,,4/4/2023 5:01,,,1951,3,17,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +552,4900,Technology,Dagmar Dolby & family,81,United States,San Francisco,Dolby Laboratories,Technology,United States,,FALSE,U,F,6/28/1941 0:00,Dolby,Dagmar,,4/4/2023 5:01,California,West,1941,6,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +552,4900,Technology,Marcos Galperin,,Argentina,Buenos Aires,E-commerce,Technology,Argentina,,TRUE,U,M,,Galperin,Marcos,,4/4/2023 5:01,,,,,,232.75,53.5,"$449,663,446,954 ",90,109.7,76.5,10.1,106.3,44938712,-38.416097,-63.616672 +552,4900,Service,Tom Golisano,81,United States,Naples,Payroll services,Service,United States,,TRUE,D,M,11/14/1941 0:00,Golisano,Tom,,4/4/2023 5:01,Florida,South,1941,11,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +552,4900,Finance & Investments,Jonathan Gray,53,United States,New York,Investments,Finance & Investments,United States,,TRUE,D,M,2/4/1970 0:00,Gray,Jonathan,,4/4/2023 5:01,New York,Northeast,1970,2,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +552,4900,Finance & Investments,Bidzina Ivanishvili,67,Georgia,Tbilisi,Investments,Finance & Investments,Georgia,,TRUE,U,M,2/18/1956 0:00,Ivanishvili,Bidzina,,4/4/2023 5:01,,,1956,2,18,133.61,4.9,"$17,743,195,770 ",63.9,98.6,73.6,21.7,9.9,3720382,42.315407,43.356892 +552,4900,Metals & Mining,Lim Hariyanto Wijaya Sarwono,94,Indonesia,Jakarta,"Palm oil, nickel mining",Metals & Mining,Indonesia,,TRUE,U,M,11/1/1928 0:00,Lim,Hariyanto Wijaya Sarwono,,4/4/2023 5:01,,,1928,11,1,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +552,4900,Healthcare,Rudolf Maag,77,Switzerland,Binningen,Medical devices,Healthcare,Switzerland,,TRUE,D,M,1/31/1946 0:00,Maag,Rudolf,,4/4/2023 5:01,,,1946,1,31,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +552,4900,Food & Beverage,Emanuele (Lino) Saputo & family,86,Canada,Montreal,Cheese,Food & Beverage,Canada,Saputo,FALSE,U,M,1/1/1937 0:00,Saputo,Emanuele (Lino),Chairman,4/4/2023 5:01,,,1937,1,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +552,4900,Automotive,Mark Shoen,72,United States,Phoenix,U-Haul,Automotive,United States,,FALSE,U,M,11/20/1950 0:00,Shoen,Mark,,4/4/2023 5:01,Arizona,West,1950,11,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +552,4900,Sports,Dan Snyder,58,United States,Potomac,Washington Commanders,Sports,United States,,TRUE,U,M,11/23/1964 0:00,Snyder,Dan,,4/4/2023 5:01,Maryland,South,1964,11,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +552,4900,Diversified,Chairul Tanjung,60,Indonesia,Jakarta,Diversified,Diversified,Indonesia,,TRUE,D,M,6/18/1962 0:00,Tanjung,Chairul,,4/4/2023 5:01,,,1962,6,18,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +552,4900,Energy,Kelcy Warren,67,United States,Dallas,Pipelines,Energy,United States,,TRUE,U,M,11/9/1955 0:00,Warren,Kelcy,,4/4/2023 5:01,Texas,South,1955,11,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +552,4900,Fashion & Retail,Zhang Tao,50,China,Beijing,E-commerce,Fashion & Retail,China,,TRUE,D,M,11/1/1972 0:00,Zhang,Tao,,4/4/2023 5:01,,,1972,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +567,4800,Fashion & Retail,Michael Ashley,58,United Kingdom,Hertfordshire,Sports retailing,Fashion & Retail,United Kingdom,,TRUE,U,M,9/12/1964 0:00,Ashley,Michael,,4/4/2023 5:01,,,1964,9,12,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +567,4800,Fashion & Retail,Tomasz Biernacki,50,Poland,"Krotoszyn,",Supermarkets,Fashion & Retail,Poland,,TRUE,U,M,1/1/1973 0:00,Biernacki,Tomasz,,4/4/2023 5:01,,,1973,1,1,114.11,2.2,"$592,164,400,688 ",67.8,100,77.6,17.4,40.8,37970874,51.919438,19.145136 +567,4800,Healthcare,Bernard Broermann,79,Germany,Koenigstein,Hospitals,Healthcare,Germany,,TRUE,U,M,11/22/1943 0:00,Broermann,Bernard,,4/4/2023 5:01,,,1943,11,22,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +567,4800,Fashion & Retail,Jimmy Haslam,69,United States,Knoxville,"Gas stations, retail",Fashion & Retail,United States,Pilot Flying J,FALSE,U,M,3/9/1954 0:00,Haslam,Jimmy,CEO,4/4/2023 5:01,Tennessee,South,1954,3,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +567,4800,Manufacturing,H. Fisk Johnson,64,United States,Racine,Cleaning products,Manufacturing,United States,,FALSE,U,M,5/19/1958 0:00,Johnson,H. Fisk,,4/4/2023 5:01,Wisconsin,Midwest,1958,5,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +567,4800,Manufacturing,S. Curtis Johnson,67,United States,Racine,Cleaning products,Manufacturing,United States,,FALSE,U,M,5/5/1955 0:00,Johnson,S. Curtis,,4/4/2023 5:01,Wisconsin,Midwest,1955,5,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +567,4800,Manufacturing,Helen Johnson-Leipold,66,United States,Racine,Cleaning products,Manufacturing,United States,,FALSE,U,F,12/30/1956 0:00,Johnson-Leipold,Helen,,4/4/2023 5:01,Wisconsin,Midwest,1956,12,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +567,4800,Technology,Vinod Khosla,68,United States,Portola Valley,Venture capital,Technology,United States,Khosla Ventures,TRUE,D,M,1/28/1955 0:00,Khosla,Vinod,Investor,4/4/2023 5:01,California,West,1955,1,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +567,4800,Technology,Thai Lee,64,United States,Austin,IT provider,Technology,United States,,TRUE,U,F,11/27/1958 0:00,Lee,Thai,,4/4/2023 5:01,Texas,South,1958,11,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +567,4800,Manufacturing,Winifred J. Marquart,63,United States,Virginia Beach,Cleaning products,Manufacturing,United States,,FALSE,U,F,4/6/1959 0:00,Marquart,Winifred J.,,4/4/2023 5:01,Virginia,South,1959,4,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +567,4800,Healthcare,Pankaj Patel,70,India,Ahmedabad,Pharmaceuticals,Healthcare,India,,FALSE,U,M,3/19/1953 0:00,Patel,Pankaj,,4/4/2023 5:01,,,1953,3,19,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +567,4800,Manufacturing,Horst Julius Pudwill,78,Hong Kong,Hong Kong,Manufacturing,Manufacturing,Germany,,TRUE,D,M,10/23/1944 0:00,Pudwill,Horst Julius,,4/4/2023 5:01,,,1944,10,23,,,,,,,,,,, +567,4800,Finance & Investments,Yu Yong,62,China,Shanghai,Mining,Finance & Investments,China,,TRUE,U,M,2/1/1961 0:00,Yu,Yong,,4/4/2023 5:01,,,1961,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +580,4700,Diversified,Maria Fernanda Amorim & family,88,Portugal,Grijo,"Energy, investments",Diversified,Portugal,,FALSE,E,F,1/16/1935 0:00,Amorim,Maria Fernanda,,4/4/2023 5:01,,,1935,1,16,110.62,0.3,"$237,686,075,635 ",63.9,106.2,81.3,22.8,39.8,10269417,39.399872,-8.224454 +580,4700,Sports,Gayle Benson,76,United States,New Orleans,New Orleans Saints,Sports,United States,,FALSE,U,F,1/26/1947 0:00,Benson,Gayle,,4/4/2023 5:01,Louisiana,South,1947,1,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +580,4700,Technology,Jason Chang,78,Taiwan,Taipei,Electronics,Technology,Singapore,,TRUE,U,M,5/1/1944 0:00,Chang,Jason,,4/4/2023 5:01,,,1944,5,1,,,,,,,,,,, +580,4700,Manufacturing,Ali Erdemoglu,63,Turkey,Istanbul,Carpet,Manufacturing,Turkey,,TRUE,U,M,11/20/1959 0:00,Erdemoglu,Ali,,4/4/2023 5:01,,,1959,11,20,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +580,4700,Finance & Investments,Andre Esteves,54,Brazil,Sao paulo,Banking,Finance & Investments,Brazil,,TRUE,D,M,7/12/1968 0:00,Esteves,Andre,,4/4/2023 5:01,,,1968,7,12,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +580,4700,Real Estate,Carlo Fidani,68,Canada,Toronto,Real estate,Real Estate,Canada,Orlando Corporation,FALSE,U,M,1/1/1955 0:00,Fidani,Carlo,Chairman,4/4/2023 5:01,,,1955,1,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +580,4700,Technology,Hong Ra-hee,77,South Korea,Seoul,Samsung,Technology,South Korea,,FALSE,D,F,7/15/1945 0:00,Hong,Ra-hee,,4/4/2023 5:01,,,1945,7,15,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +580,4700,Manufacturing,Li Gaiteng,50,China,Shanghai,Hair dryers,Manufacturing,China,,TRUE,U,M,4/8/1972 0:00,Li,Gaiteng,,4/4/2023 5:01,,,1972,4,8,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +580,4700,Media & Entertainment,Thomas Secunda,68,United States,Croton-on-Hudson,Bloomberg LP,Media & Entertainment,United States,,TRUE,U,M,6/23/1954 0:00,Secunda,Thomas,,4/4/2023 5:01,New York,Northeast,1954,6,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +580,4700,Diversified,Zuowen Song,76,China,Longkou,"Aluminum, diversified",Diversified,China,,TRUE,U,M,3/19/1947 0:00,Song,Zuowen,,4/4/2023 5:01,,,1947,3,19,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +580,4700,Media & Entertainment,Tim Sweeney,52,United States,Cary,Video games,Media & Entertainment,United States,,TRUE,D,M,12/13/1970 0:00,Sweeney,Tim,,4/4/2023 5:01,North Carolina,South,1970,12,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Food & Beverage,Bert Beveridge,61,United States,Austin,Vodka,Food & Beverage,United States,,TRUE,U,M,1/1/1962 0:00,Beveridge,Bert,,4/4/2023 5:01,Texas,South,1962,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Media & Entertainment,Mark Cuban,64,United States,Dallas,"Online media, Dallas Mavericks",Media & Entertainment,United States,Dallas Mavericks,TRUE,D,M,7/31/1958 0:00,Cuban,Mark,Owner,4/4/2023 5:01,Texas,South,1958,7,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Media & Entertainment,Charles Dolan & family,96,United States,Oyster Bay,Cable television,Media & Entertainment,United States,Cablevision Systems Corp.,TRUE,D,M,10/16/1926 0:00,Dolan,Charles,Chairman and Founder,4/4/2023 5:01,New York,Northeast,1926,10,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Technology,Jack Dorsey,46,United States,San Francisco,"Twitter, Square",Technology,United States,Twitter,TRUE,D,M,11/19/1976 0:00,Dorsey,Jack,Cofounder,4/4/2023 5:01,California,West,1976,11,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Energy,Fan Hongwei,56,China,Wujiang,Petrochemicals,Energy,China,,TRUE,D,F,1/1/1967 0:00,Fan,Hongwei,,4/4/2023 5:01,,,1967,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +591,4600,Metals & Mining,Vladimir Kim,62,Kazakhstan,Almaty,Mining,Metals & Mining,Kazakhstan,,TRUE,D,M,10/29/1960 0:00,Kim,Vladimir,,4/4/2023 5:01,,,1960,10,29,182.75,5.2,"$180,161,741,180 ",61.7,104.4,73.2,11.7,28.4,18513930,48.019573,66.923684 +591,4600,Finance & Investments,"Andre Koo, Sr.",55,Taiwan,Taipei,Financial services,Finance & Investments,Taiwan,,FALSE,D,M,5/25/1967 0:00,Koo,Andre,,4/4/2023 5:01,,,1967,5,25,,,,,,,,,,, +591,4600,Fashion & Retail,Ronald Lauder,79,United States,New York,Estee Lauder,Fashion & Retail,United States,,FALSE,D,M,2/26/1944 0:00,Lauder,Ronald,,4/4/2023 5:01,New York,Northeast,1944,2,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Manufacturing,Li Chunan,54,China,Fushun,Renewable energy,Manufacturing,China,,TRUE,D,M,10/10/1968 0:00,Li,Chunan,,4/4/2023 5:01,,,1968,10,10,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +591,4600,Media & Entertainment,Forrest Li,45,Singapore,Singapore,Gaming,Media & Entertainment,Singapore,,TRUE,D,M,1/1/1978 0:00,Li,Forrest,,4/4/2023 5:01,,,1978,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +591,4600,Telecom,Richard Li,56,Hong Kong,Hong Kong,Telecom,Telecom,Hong Kong,,FALSE,D,M,11/8/1966 0:00,Li,Richard,,4/4/2023 5:01,,,1966,11,8,,,,,,,,,,, +591,4600,Fashion & Retail,Doug Meijer & family,69,United States,Grand Rapids,Supermarkets,Fashion & Retail,United States,,FALSE,Split Family Fortune,M,1/22/1954 0:00,Meijer,Doug,,4/4/2023 5:01,Michigan,Midwest,1954,1,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Fashion & Retail,Hank Meijer & family,71,United States,Grand Rapids,Supermarkets,Fashion & Retail,United States,,FALSE,Split Family Fortune,M,2/15/1952 0:00,Meijer,Hank,,4/4/2023 5:01,Michigan,Midwest,1952,2,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Fashion & Retail,Mark Meijer & family,65,United States,Grand Rapids,Supermarkets,Fashion & Retail,United States,,FALSE,Split Family Fortune,M,10/21/1957 0:00,Meijer,Mark,,4/4/2023 5:01,Michigan,Midwest,1957,10,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Food & Beverage,Issad Rebrab & family,79,Algeria,Algiers,Food,Food & Beverage,Algeria,,TRUE,D,M,1/1/1944 0:00,Rebrab,Issad,,4/4/2023 5:01,,,1944,1,1,151.36,2,"$169,988,236,398 ",51.4,109.9,76.7,37.2,66.1,43053054,28.033886,1.659626 +591,4600,Logistics,Fred Smith,78,United States,Memphis,FedEx,Logistics,United States,FedEx Corp.,TRUE,D,M,8/11/1944 0:00,Smith,Fred,Chairman and CEO,4/4/2023 5:01,Tennessee,South,1944,8,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Finance & Investments,Barry Sternlicht,62,United States,Miami,Private equity,Finance & Investments,United States,,TRUE,U,M,11/27/1960 0:00,Sternlicht,Barry,,4/4/2023 5:01,Florida,South,1960,11,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Manufacturing,Maximilian Viessmann,34,Germany,Battenberg,"Heating, cooling equipment",Manufacturing,Germany,,FALSE,D,M,2/11/1989 0:00,Viessmann,Maximilian,,4/4/2023 5:01,,,1989,2,11,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +591,4600,Food & Beverage,Russ Weiner,52,United States,Delray Beach,Energy drinks,Food & Beverage,United States,,TRUE,U,M,5/5/1970 0:00,Weiner,Russ,,4/4/2023 5:01,Florida,South,1970,5,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +591,4600,Healthcare,Xue Min,66,China,Wuhan,Healthcare,Healthcare,China,,TRUE,N,M,1/1/1957 0:00,Xue,Min,,4/4/2023 5:01,,,1957,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +611,4500,Food & Beverage,Juan Domingo Beckmann Legorreta & family,55,Mexico,,Tequila,Food & Beverage,Mexico,,FALSE,U,M,7/1/1967 0:00,Beckmann Legorreta,Juan Domingo,,4/4/2023 5:01,,,1967,7,1,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +611,4500,Technology,Dietmar Hopp & family,82,Germany,Walldorf,Software,Technology,Germany,,TRUE,D,M,4/26/1940 0:00,Hopp,Dietmar,,4/4/2023 5:01,,,1940,4,26,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +611,4500,Technology,Jiang Bin,56,China,Weifang,Acoustic components,Technology,China,,TRUE,D,M,9/16/1966 0:00,Jiang,Bin,,4/4/2023 5:01,,,1966,9,16,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +611,4500,Technology,Joseph Liemandt,54,United States,Austin,Software,Technology,United States,,TRUE,U,M,8/5/1968 0:00,Liemandt,Joseph,,4/4/2023 5:01,Texas,South,1968,8,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +611,4500,Food & Beverage,Theo Mueller,83,Switzerland,Zurich,Dairy,Food & Beverage,Germany,,FALSE,D,M,1/30/1940 0:00,Mueller,Theo,,4/4/2023 5:01,,,1940,1,30,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +611,4500,Technology,N.R. Narayana Murthy,76,India,Bangalore,Software services,Technology,India,,TRUE,U,M,8/20/1946 0:00,Murthy,N.R. Narayana,,4/4/2023 5:01,,,1946,8,20,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +611,4500,Fashion & Retail,Odd Reitan & family,71,Norway,Trondheim,"Retail, real estate",Fashion & Retail,Norway,,FALSE,D,M,9/11/1951 0:00,Reitan,Odd,,4/4/2023 5:01,,,1951,9,11,120.27,2.2,"$403,336,363,636 ",82,100.3,82.8,23.9,36.2,5347896,60.472024,8.468946 +611,4500,Finance & Investments,Marc Rowan,60,United States,New York,Private equity,Finance & Investments,United States,,TRUE,D,M,8/19/1962 0:00,Rowan,Marc,,4/4/2023 5:01,New York,Northeast,1962,8,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +611,4500,Real Estate,Hussain Sajwani,70,United Arab Emirates,Dubai,Real estate,Real Estate,United Arab Emirates,,TRUE,U,M,3/1/1953 0:00,Sajwani,Hussain,,4/4/2023 5:01,,,1953,3,1,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +611,4500,Finance & Investments,David Velez & family,41,Brazil,Sao Paulo,Fintech,Finance & Investments,Colombia,,TRUE,D,M,10/2/1981 0:00,Velez,David,,4/4/2023 5:01,,,1981,10,2,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +611,4500,Manufacturing,Xu Jinfu,59,China,Guangzhou,Chemicals,Manufacturing,China,,TRUE,D,M,1/1/1964 0:00,Xu,Jinfu,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +611,4500,Diversified,Samuel Yin,72,Taiwan,Taipei,Retail,Diversified,Taiwan,,FALSE,D,M,8/16/1950 0:00,Yin,Samuel,,4/4/2023 5:01,,,1950,8,16,,,,,,,,,,, +611,4500,Manufacturing,You Xiaoping & family,65,China,Wenzhou,"Chemicals, spandex",Manufacturing,China,,TRUE,D,M,1/21/1958 0:00,You,Xiaoping,,4/4/2023 5:01,,,1958,1,21,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +624,4400,Healthcare,Stéphane Bancel,50,United States,Boston,"Biotech, vaccines",Healthcare,France,,TRUE,D,M,7/20/1972 0:00,Bancel,Stéphane,,4/4/2023 5:01,Massachusetts,Northeast,1972,7,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +624,4400,Technology,Margot Birmingham Perot,89,United States,Dallas,"Computer services, real estate",Technology,United States,,FALSE,U,F,11/15/1933 0:00,Birmingham Perot,Margot,,4/4/2023 5:01,Texas,South,1933,11,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +624,4400,Manufacturing,Neal Blue & family,88,United States,San Diego,Defense,Manufacturing,United States,,TRUE,U,M,4/4/1935 0:00,Blue,Neal,,4/4/2023 5:01,California,West,1935,4,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +624,4400,Service,Jim Davis,63,United States,Cockeysville,Staffing & recruiting,Service,United States,,TRUE,U,M,3/13/1960 0:00,Davis,Jim,,4/4/2023 5:01,Maryland,South,1960,3,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +624,4400,Construction & Engineering,Rafael Del Pino,64,Spain,Madrid,Construction,Construction & Engineering,Spain,,FALSE,U,M,7/18/1958 0:00,Del Pino,Rafael,,4/4/2023 5:01,,,1958,7,18,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +624,4400,Healthcare,Peter Grogg,81,Switzerland,Liestal,Biochemicals,Healthcare,Switzerland,,TRUE,D,M,1/10/1942 0:00,Grogg,Peter,,4/4/2023 5:01,,,1942,1,10,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +624,4400,Fashion & Retail,Christian Haub,58,Germany,Munich,Retail,Fashion & Retail,Germany,,FALSE,E,M,7/22/1964 0:00,Haub,Christian,,4/4/2023 5:01,,,1964,7,22,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +624,4400,Real Estate,Mangal Prabhat Lodha,67,India,Mumbai,Real estate,Real Estate,India,,TRUE,D,M,12/1/1955 0:00,Lodha,Mangal Prabhat,,4/4/2023 5:01,,,1955,12,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +624,4400,Sports,Jeffrey Lurie & family,71,United States,Wynnewood,Philadelphia Eagles,Sports,United States,,FALSE,U,M,9/8/1951 0:00,Lurie,Jeffrey,,4/4/2023 5:01,Pennsylvania,Northeast,1951,9,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +624,4400,Finance & Investments,Joe Mansueto,66,United States,Chicago,Investment research,Finance & Investments,United States,Morningstar Inc.,TRUE,D,M,9/3/1956 0:00,Mansueto,Joe,"Entrepreneur, Investor",4/4/2023 5:01,Illinois,Midwest,1956,9,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +624,4400,Manufacturing,Qian Dongqi & family,65,China,Suzhou,Home-cleaning robots,Manufacturing,China,,TRUE,D,M,1/1/1958 0:00,Qian,Dongqi,,4/4/2023 5:01,,,1958,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +624,4400,Metals & Mining,Mikhail Shelkov,54,Russia,Moscow,Titanium,Metals & Mining,Russia,,TRUE,U,M,5/30/1968 0:00,Shelkov,Mikhail,,4/4/2023 5:01,,,1968,5,30,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +636,4300,Telecom,Patrick Drahi,59,Switzerland,Zermatt,Telecom,Telecom,France,,TRUE,D,M,8/20/1963 0:00,Drahi,Patrick,,4/4/2023 5:01,,,1963,8,20,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +636,4300,Finance & Investments,Behdad Eghbali,46,United States,Los Angeles,Private equity,Finance & Investments,United States,,TRUE,U,M,5/6/1976 0:00,Eghbali,Behdad,,4/4/2023 5:01,California,West,1976,5,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +636,4300,Finance & Investments,Juan Carlos Escotet,63,Spain,A Coruña,Banking,Finance & Investments,Venezuela,,TRUE,U,M,7/23/1959 0:00,Escotet,Juan Carlos,,4/4/2023 5:01,,,1959,7,23,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +636,4300,Finance & Investments,Jose E. Feliciano,49,United States,Los Angeles,Private equity,Finance & Investments,United States,,TRUE,U,M,5/29/1973 0:00,Feliciano,Jose E.,,4/4/2023 5:01,California,West,1973,5,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +636,4300,Healthcare,Hu Kaijun,61,China,Beijing,Pharmaceuticals,Healthcare,China,,TRUE,U,M,1/1/1962 0:00,Hu,Kaijun,,4/4/2023 5:01,,,1962,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +636,4300,Logistics,Johnelle Hunt,91,United States,Fayetteville,Trucking,Logistics,United States,,TRUE,D,F,1/4/1932 0:00,Hunt,Johnelle,,4/4/2023 5:01,Arkansas,South,1932,1,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +636,4300,Food & Beverage,Marian Ilitch,90,United States,Bingham Farms,Little Caesars Pizza,Food & Beverage,United States,,TRUE,D,F,1/7/1933 0:00,Ilitch,Marian,,4/4/2023 5:01,Michigan,Midwest,1933,1,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +636,4300,Diversified,Daryl Katz,61,Canada,Edmonton,Pharmacies,Diversified,Canada,Katz Group,TRUE,D,M,9/1/1961 0:00,Katz,Daryl,Founder and Chairman,4/4/2023 5:01,,,1961,9,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +636,4300,Metals & Mining,Andrei Kozitsyn,62,Russia,Verkhniaya Pyshma,Metals,Metals & Mining,Russia,,TRUE,U,M,6/9/1960 0:00,Kozitsyn,Andrei,,4/4/2023 5:01,,,1960,6,9,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +636,4300,Finance & Investments,Timur Kulibaev,56,Kazakhstan,Almaty,Banking,Finance & Investments,Kazakhstan,,TRUE,U,M,9/10/1966 0:00,Kulibaev,Timur,,4/4/2023 5:01,,,1966,9,10,182.75,5.2,"$180,161,741,180 ",61.7,104.4,73.2,11.7,28.4,18513930,48.019573,66.923684 +636,4300,Finance & Investments,Dinara Kulibaeva,55,Kazakhstan,Almaty,Banking,Finance & Investments,Kazakhstan,,FALSE,U,F,8/19/1967 0:00,Kulibaeva,Dinara,,4/4/2023 5:01,,,1967,8,19,182.75,5.2,"$180,161,741,180 ",61.7,104.4,73.2,11.7,28.4,18513930,48.019573,66.923684 +636,4300,Real Estate,Ian Livingstone,60,,,Real estate,Real Estate,United Kingdom,,TRUE,Split Family Fortune,M,5/22/1962 0:00,Livingstone,Ian,,4/4/2023 5:01,,,1962,5,22,,,,,,,,,,, +636,4300,Real Estate,Richard Livingstone,58,,,Real estate,Real Estate,United Kingdom,,TRUE,Split Family Fortune,M,11/29/1964 0:00,Livingstone,Richard,,4/4/2023 5:01,,,1964,11,29,,,,,,,,,,, +636,4300,Food & Beverage,Gwendolyn Sontheim Meyer,61,United States,Rancho Santa Fe,Cargill,Food & Beverage,United States,,FALSE,D,F,10/27/1961 0:00,Meyer,Gwendolyn Sontheim,,4/4/2023 5:01,California,West,1961,10,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +636,4300,Real Estate,Jay Paul,75,United States,San Francisco,Real estate,Real Estate,United States,,TRUE,U,M,7/8/1947 0:00,Paul,Jay,,4/4/2023 5:01,California,West,1947,7,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +636,4300,Diversified,Pham Nhat Vuong,54,Vietnam,Hanoi,Diversified,Diversified,Vietnam,,TRUE,D,M,8/5/1968 0:00,Pham,Nhat Vuong,,4/4/2023 5:01,,,1968,8,5,163.52,2.8,"$261,921,244,843 ",28.5,110.6,75.3,19.1,37.6,96462106,14.058324,108.277199 +636,4300,Healthcare,Jon Stryker,64,United States,New York,Medical equipment,Healthcare,United States,,FALSE,U,M,5/3/1958 0:00,Stryker,Jon,,4/4/2023 5:01,New York,Northeast,1958,5,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +636,4300,Finance & Investments,Daniel Tsai,66,Taiwan,Taipei,Finance,Finance & Investments,Taiwan,,FALSE,D,M,4/25/1956 0:00,Tsai,Daniel,,4/4/2023 5:01,,,1956,4,25,,,,,,,,,,, +636,4300,Finance & Investments,Richard Tsai,65,Taiwan,Taipei,Finance,Finance & Investments,Taiwan,,FALSE,D,M,6/2/1957 0:00,Tsai,Richard,,4/4/2023 5:01,,,1957,6,2,,,,,,,,,,, +636,4300,Technology,Frank Wang,42,China,Shenzhen,Drones,Technology,China,DJI Technology Co.,TRUE,D,M,10/30/1980 0:00,Wang,Frank,Founder and CEO,4/4/2023 5:01,,,1980,10,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +636,4300,Manufacturing,Wang Junshi & family,74,China,Ningbo,Solar inverters,Manufacturing,China,,TRUE,D,M,1/1/1949 0:00,Wang,Junshi,,4/4/2023 5:01,,,1949,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +636,4300,Technology,Wang Wenjing,58,China,Beijing,Business software,Technology,China,,TRUE,D,M,12/5/1964 0:00,Wang,Wenjing,,4/4/2023 5:01,,,1964,12,5,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +636,4300,Finance & Investments,Herbert Wertheim,83,United States,Coral Gables,Investments,Finance & Investments,United States,,TRUE,U,M,5/23/1939 0:00,Wertheim,Herbert,,4/4/2023 5:01,Florida,South,1939,5,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +659,4200,Service,Shari Arison,65,Israel,Tel Aviv,Carnival Cruises,Service,Israel,,FALSE,D,F,9/9/1957 0:00,Arison,Shari,"Investor, Philanthropist",4/4/2023 5:01,,,1957,9,9,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +659,4200,Finance & Investments,Pyotr Aven,68,Latvia,,"Oil, banking, telecom",Finance & Investments,Russia,,TRUE,D,M,3/16/1955 0:00,Aven,Pyotr,,4/4/2023 5:01,,,1955,3,16,116.86,2.8,"$34,117,202,555 ",88.1,99.4,74.7,22.9,38.1,1912789,56.879635,24.603189 +659,4200,Real Estate,Chan Laiwa & family,82,China,Beijing,Real estate,Real Estate,China,,TRUE,D,F,1/1/1941 0:00,Chan,Laiwa,Philanthropist,4/4/2023 5:01,,,1941,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +659,4200,Real Estate,Chen Hua,57,China,Shenzhen,Real estate,Real Estate,China,,TRUE,U,M,1/1/1966 0:00,Chen,Hua,,4/4/2023 5:01,,,1966,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +659,4200,Finance & Investments,Thomas Hagen,87,United States,Erie,Insurance,Finance & Investments,United States,,FALSE,U,M,1/1/1936 0:00,Hagen,Thomas,,4/4/2023 5:01,Pennsylvania,Northeast,1936,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +659,4200,Finance & Investments,"Rupert Johnson, Jr.",82,United States,Burlingame,Franklin Templeton,Finance & Investments,United States,Franklin Resources Inc.,FALSE,D,M,8/10/1940 0:00,Johnson,Rupert,Vice Chairman and Director,4/4/2023 5:01,California,West,1940,8,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +659,4200,Energy,Dewi Kam,72,Indonesia,Jakarta,Coal,Energy,Indonesia,,TRUE,N,F,7/23/1950 0:00,Kam,Dewi,,4/4/2023 5:01,,,1950,7,23,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +659,4200,Technology,Min Kao & family,74,United States,Leawood,Navigation equipment,Technology,United States,,TRUE,D,M,1/10/1949 0:00,Kao,Min,,4/4/2023 5:01,Kansas,Midwest,1949,1,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +659,4200,Finance & Investments,Marc Ladreit de Lacharriere,82,France,Paris,Finance,Finance & Investments,France,,TRUE,U,M,11/6/1940 0:00,Ladreit de Lacharriere,Marc,,4/4/2023 5:01,,,1940,11,6,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +659,4200,Technology,Eric Lefkofsky,53,United States,Glencoe,"Groupon, investments",Technology,United States,Groupon,TRUE,U,M,9/2/1969 0:00,Lefkofsky,Eric,Chairman,4/4/2023 5:01,Illinois,Midwest,1969,9,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +659,4200,Technology,Lin Bin,55,China,Shenzhen,Smartphones,Technology,United States,,TRUE,D,M,2/1/1968 0:00,Lin,Bin,,4/4/2023 5:01,,,1968,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +659,4200,Finance & Investments,Lin Li,59,China,Shenzhen,Investments,Finance & Investments,China,,TRUE,D,M,5/1/1963 0:00,Lin,Li,,4/4/2023 5:01,,,1963,5,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +659,4200,Technology,Michael Moritz,68,United States,San Francisco,Venture capital,Technology,United States,Sequoia,TRUE,D,M,9/12/1954 0:00,Moritz,Michael,Investor,4/4/2023 5:01,California,West,1954,9,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +659,4200,Service,Jean (Gigi) Pritzker,60,United States,Los Angeles,"Hotels, investments",Service,United States,,FALSE,U,F,7/1/1962 0:00,Pritzker,Jean (Gigi),,4/4/2023 5:01,California,West,1962,7,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +659,4200,Automotive,E. Joe Shoen,73,United States,Phoenix,U-Haul,Automotive,United States,,FALSE,U,M,10/28/1949 0:00,Shoen,E. Joe,,4/4/2023 5:01,Arizona,West,1949,10,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +659,4200,Technology,Jeff Skoll,58,United States,Los Angeles,EBay,Technology,United States,,TRUE,D,M,1/16/1965 0:00,Skoll,Jeff,,4/4/2023 5:01,California,West,1965,1,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +659,4200,Food & Beverage,Lynsi Snyder,40,United States,Glendora,In-N-Out Burger,Food & Beverage,United States,,FALSE,E,F,5/5/1982 0:00,Snyder,Lynsi,,4/4/2023 5:01,California,West,1982,5,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +659,4200,Fashion & Retail,Djoko Susanto,73,Indonesia,Jakarta,Supermarkets,Fashion & Retail,Indonesia,,TRUE,U,M,2/9/1950 0:00,Susanto,Djoko,,4/4/2023 5:01,,,1950,2,9,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +659,4200,Diversified,Tahir & family,71,Indonesia,Jakarta,Diversified,Diversified,Indonesia,,TRUE,U,M,3/26/1952 0:00,Tahir,,,4/4/2023 5:01,,,1952,3,26,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +659,4200,Finance & Investments,Peter Thiel,55,United States,Los Angeles,"Facebook, investments",Finance & Investments,United States,Founders Fund,TRUE,D,M,10/11/1967 0:00,Thiel,Peter,Investor,4/4/2023 5:01,California,West,1967,10,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +679,4100,Food & Beverage,Andrej Babis,68,Czech Republic,Prague,Agriculture,Food & Beverage,Czech Republic,,TRUE,D,M,9/2/1954 0:00,Babis,Andrej,,4/4/2023 5:01,,,1954,9,2,116.48,2.8,"$246,489,245,495 ",64.1,100.7,79,14.9,46.1,10669709,49.817492,15.472962 +679,4100,Service,Danielle Bellon & family,83,France,Paris,Food services,Service,France,,FALSE,U,F,2/8/1940 0:00,Bellon,Danielle,,4/4/2023 5:01,,,1940,2,8,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +679,4100,Media & Entertainment,Hubert Burda,83,Germany,Munich,Publishing,Media & Entertainment,Germany,,FALSE,U,M,2/9/1940 0:00,Burda,Hubert,,4/4/2023 5:01,,,1940,2,9,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +679,4100,Food & Beverage,Nick Caporella,87,United States,Plantation,Beverages,Food & Beverage,United States,,TRUE,U,M,1/15/1936 0:00,Caporella,Nick,,4/4/2023 5:01,Florida,South,1936,1,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +679,4100,Energy,John Catsimatidis,74,United States,New York,"Oil, real estate",Energy,United States,,TRUE,U,M,9/7/1948 0:00,Catsimatidis,John,,4/4/2023 5:01,New York,Northeast,1948,9,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +679,4100,Technology,Scott Cook,70,United States,Woodside,Software,Technology,United States,,TRUE,D,M,7/26/1952 0:00,Cook,Scott,,4/4/2023 5:01,California,West,1952,7,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +679,4100,Food & Beverage,Luca Garavoglia,54,Italy,Milan,Spirits,Food & Beverage,Italy,,FALSE,U,M,2/27/1969 0:00,Garavoglia,Luca,,4/4/2023 5:01,,,1969,2,27,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +679,4100,Manufacturing,Antti Herlin,66,Finland,Kirkkonummi,"Elevators, escalators",Manufacturing,Finland,,FALSE,D,M,11/14/1956 0:00,Herlin,Antti,,4/4/2023 5:01,,,1956,11,14,112.33,1,"$268,761,201,365 ",88.2,100.2,81.7,20.8,36.6,5520314,61.92411,25.748151 +679,4100,Manufacturing,Hong Jie,55,China,Putian,Paint,Manufacturing,China,,TRUE,U,M,10/1/1967 0:00,Hong,Jie,,4/4/2023 5:01,,,1967,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +679,4100,Service,"Jeremy Jacobs, Sr. & family",83,United States,East Aurora,Food service,Service,United States,,FALSE,U,M,1/21/1940 0:00,Jacobs,Jeremy,,4/4/2023 5:01,New York,Northeast,1940,1,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +679,4100,Fashion & Retail,Igor Kesaev,56,Russia,Moscow,"Tobacco distribution, retail",Fashion & Retail,Russia,,TRUE,U,M,10/30/1966 0:00,Kesaev,Igor,,4/4/2023 5:01,,,1966,10,30,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +679,4100,Food & Beverage,Mary Alice Dorrance Malone,73,United States,Coatesville,Campbell Soup,Food & Beverage,United States,,FALSE,U,F,2/3/1950 0:00,Malone,Mary Alice Dorrance,,4/4/2023 5:01,Pennsylvania,Northeast,1950,2,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +679,4100,Diversified,Joao Moreira Salles,61,Brazil,Rio de Janeiro,"Banking, minerals",Diversified,Brazil,,FALSE,U,M,1/1/1962 0:00,Moreira Salles,Joao,,4/4/2023 5:01,,,1962,1,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +679,4100,Finance & Investments,Walther Moreira Salles Junior,66,Brazil,Rio de Janeiro,"Banking, minerals",Finance & Investments,Brazil,,FALSE,U,M,4/12/1956 0:00,Moreira Salles Junior,Walther,,4/4/2023 5:01,,,1956,4,12,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +679,4100,Sports,Arturo Moreno,76,United States,Phoenix,"Billboards, Los Angeles Angels",Sports,United States,,TRUE,U,M,8/14/1946 0:00,Moreno,Arturo,,4/4/2023 5:01,Arizona,West,1946,8,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +679,4100,Manufacturing,Peter Spuhler,63,Switzerland,Weiningen,Train cars,Manufacturing,Switzerland,,TRUE,D,M,9/1/1959 0:00,Spuhler,Peter,,4/4/2023 5:01,,,1959,9,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +679,4100,Real Estate,Donald Sterling,88,United States,Beverly Hills,Real estate,Real Estate,United States,,TRUE,U,M,4/26/1934 0:00,Sterling,Donald,,4/4/2023 5:01,California,West,1934,4,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +679,4100,Diversified,Kerry Stokes,82,Australia,Perth,"Construction equipment, media",Diversified,Australia,,TRUE,D,M,9/13/1940 0:00,Stokes,Kerry,,4/4/2023 5:01,,,1940,9,13,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +679,4100,Technology,Ken Xie,60,United States,Los Altos Hills,Cybersecurity,Technology,United States,,TRUE,D,M,1/26/1963 0:00,Xie,Ken,,4/4/2023 5:01,California,West,1963,1,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +679,4100,Healthcare,Liangzhi Xie & family,57,China,Beijing,Biotech,Healthcare,China,,TRUE,D,M,1/1/1966 0:00,Xie,Liangzhi,,4/4/2023 5:01,,,1966,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +699,4000,Energy,Sid Bass,80,United States,Fort Worth,"Oil, investments",Energy,United States,,FALSE,U,M,4/9/1942 0:00,Bass,Sid,,4/4/2023 5:01,Texas,South,1942,4,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +699,4000,Technology,Ben Chestnut,48,United States,Atlanta,Email marketing,Technology,United States,,TRUE,D,M,6/15/1974 0:00,Chestnut,Ben,,4/4/2023 5:01,Georgia,South,1974,6,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +699,4000,Food & Beverage,Elisabeth DeLuca & family,75,United States,,Subway,Food & Beverage,United States,,FALSE,N,F,7/25/1947 0:00,DeLuca,Elisabeth,,4/4/2023 5:01,,South,1947,7,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +699,4000,Diversified,Guangchang Guo,56,China,Shanghai,Conglomerate,Diversified,China,,TRUE,D,M,2/16/1967 0:00,Guo,Guangchang,,4/4/2023 5:01,,,1967,2,16,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +699,4000,Manufacturing,Vinod Rai Gupta,77,India,Delhi,Electrical equipment,Manufacturing,India,,FALSE,U,F,9/15/1945 0:00,Gupta,Vinod Rai,,4/4/2023 5:01,,,1945,9,15,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +699,4000,Sports,John Henry,73,United States,Boca Raton,Sports,Sports,United States,,TRUE,U,M,9/13/1949 0:00,Henry,John,,4/4/2023 5:01,Florida,South,1949,9,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +699,4000,Technology,Travis Kalanick,46,United States,Los Angeles,Uber,Technology,United States,Uber Technologies Inc.,TRUE,U,M,8/6/1976 0:00,Kalanick,Travis,Cofounder,4/4/2023 5:01,California,West,1976,8,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +699,4000,Manufacturing,Koon Poh Keong,61,Malaysia,Petaling Jaya,Aluminum,Manufacturing,Malaysia,,TRUE,D,M,4/25/1961 0:00,Koon,Poh Keong,,4/4/2023 5:01,,,1961,4,25,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +699,4000,Technology,Dan Kurzius,51,United States,Atlanta,Email marketing,Technology,United States,,TRUE,D,M,12/1/1971 0:00,Kurzius,Dan,,4/4/2023 5:01,Georgia,South,1971,12,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +699,4000,Manufacturing,Paul Lee,65,China,Yuxi,Battery separators,Manufacturing,United States,,TRUE,D,M,1/1/1958 0:00,Lee,Paul,,4/4/2023 5:01,,,1958,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +699,4000,Technology,Tobi Lutke,42,Canada,Ottawa,E-commerce,Technology,Canada,,TRUE,D,M,7/16/1980 0:00,Lutke,Tobi,,4/4/2023 5:01,,,1980,7,16,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +699,4000,Automotive,Gail Miller,79,United States,Salt Lake City,Car dealerships,Automotive,United States,,TRUE,U,F,10/14/1943 0:00,Miller,Gail,,4/4/2023 5:01,Utah,West,1943,10,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +699,4000,Telecom,Rajan Mittal,63,India,Delhi,Telecom,Telecom,India,,FALSE,Split Family Fortune,M,1/5/1960 0:00,Mittal,Rajan,,4/4/2023 5:01,,,1960,1,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +699,4000,Telecom,Rakesh Mittal,67,India,Delhi,Telecom,Telecom,India,,FALSE,Split Family Fortune,M,9/18/1955 0:00,Mittal,Rakesh,,4/4/2023 5:01,,,1955,9,18,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +699,4000,Media & Entertainment,Isaac Perlmutter,80,United States,Palm Beach,Marvel comics,Media & Entertainment,United States,Marvel Entertainment,TRUE,D,M,12/1/1942 0:00,Perlmutter,Isaac,Chairman,4/4/2023 5:01,Florida,South,1942,12,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +699,4000,Finance & Investments,"Bernard Saul, II.",90,United States,Chevy Chase,"Banking, real estate",Finance & Investments,United States,Saul Centers,FALSE,U,M,4/15/1932 0:00,Saul,Bernard,Chairman and CEO,4/4/2023 5:01,Maryland,South,1932,4,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +699,4000,Telecom,Shaul Shani,68,Italy,Milan,Telecom,Telecom,Israel,,TRUE,D,M,1/1/1955 0:00,Shani,Shaul,,4/4/2023 5:01,,,1955,1,1,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +699,4000,Media & Entertainment,Steven Spielberg,76,United States,Pacific Palisades,Movies,Media & Entertainment,United States,,TRUE,U,M,12/18/1946 0:00,Spielberg,Steven,,4/4/2023 5:01,California,West,1946,12,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +699,4000,Healthcare,Jerzy Starak,75,Poland,Konstancin,Pharmaceuticals,Healthcare,Poland,,TRUE,E,M,12/12/1947 0:00,Starak,Jerzy,,4/4/2023 5:01,,,1947,12,12,114.11,2.2,"$592,164,400,688 ",67.8,100,77.6,17.4,40.8,37970874,51.919438,19.145136 +699,4000,Energy,Torbjorn Tornqvist,69,Switzerland,Geneva,Oil trading,Energy,Sweden,,TRUE,U,M,11/8/1953 0:00,Tornqvist,Torbjorn,,4/4/2023 5:01,,,1953,11,8,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +699,4000,Metals & Mining,Rufino Vigil Gonzalez,74,Mexico,Mexico City,Steel,Metals & Mining,Mexico,,TRUE,U,M,6/1/1948 0:00,Vigil Gonzalez,Rufino,,4/4/2023 5:01,,,1948,6,1,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +699,4000,Diversified,Zhang Daocai,73,China,Shaoxing,Valves,Diversified,China,,TRUE,U,M,1/1/1950 0:00,Zhang,Daocai,,4/4/2023 5:01,,,1950,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +721,3900,Manufacturing,Juergen Blickle,76,Germany,Bruchsal,Auto parts,Manufacturing,Germany,,FALSE,D,M,1/1/1947 0:00,Blickle,Juergen,,4/4/2023 5:01,,,1947,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +721,3900,Food & Beverage,"Austen Cargill, II.",72,United States,Livingston,Cargill,Food & Beverage,United States,,FALSE,D,M,3/9/1951 0:00,Cargill,Austen,,4/4/2023 5:01,Montana,West,1951,3,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +721,3900,Food & Beverage,"James Cargill, II.",73,United States,Birchwood,Cargill,Food & Beverage,United States,,FALSE,D,M,4/7/1949 0:00,Cargill,James,,4/4/2023 5:01,Wisconsin,Midwest,1949,4,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +721,3900,Finance & Investments,Vanich Chaiyawan,91,Thailand,Bangkok,"Insurance, beverages",Finance & Investments,Thailand,,TRUE,U,M,1/1/1932 0:00,Chaiyawan,Vanich,,4/4/2023 5:01,,,1932,1,1,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +721,3900,Finance & Investments,Chen Dongsheng,65,China,Beijing,Insurance,Finance & Investments,China,,TRUE,U,M,12/1/1957 0:00,Chen,Dongsheng,,4/4/2023 5:01,,,1957,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +721,3900,Automotive,Mong-Koo Chung,85,South Korea,Seoul,Hyundai,Automotive,South Korea,,FALSE,D,M,3/19/1938 0:00,Chung,Mong-Koo,,4/4/2023 5:01,,,1938,3,19,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +721,3900,Finance & Investments,Kenneth Dart,67,Cayman Islands,George Town,Investments,Finance & Investments,Belize,,FALSE,U,M,4/21/1955 0:00,Dart,Kenneth,,4/4/2023 5:01,,,1955,4,21,,,,,,,,,,, +721,3900,Fashion & Retail,Giuseppe De'Longhi & family,83,Italy,Treviso,Coffee makers,Fashion & Retail,Italy,,FALSE,D,M,4/24/1939 0:00,De'Longhi,Giuseppe,,4/4/2023 5:01,,,1939,4,24,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +721,3900,Healthcare,Guenther Fielmann & family,83,Germany,Hamburg,Optometry,Healthcare,Germany,,TRUE,D,M,9/17/1939 0:00,Fielmann,Guenther,,4/4/2023 5:01,,,1939,9,17,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +721,3900,Energy,W. Herbert Hunt,94,United States,Dallas,Oil,Energy,United States,,FALSE,D,M,3/6/1929 0:00,Hunt,W. Herbert,Investor,4/4/2023 5:01,Texas,South,1929,3,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +721,3900,Sports,James Irsay,63,United States,Carmel,Indianapolis Colts,Sports,United States,Indianapolis Colts,FALSE,U,M,6/13/1959 0:00,Irsay,James,CEO,4/4/2023 5:01,Indiana,Midwest,1959,6,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +721,3900,Diversified,Somurai Jaruphnit,,Thailand,Bangkok,Diversified,Diversified,Thailand,,FALSE,N,F,,Jaruphnit,Somurai,,4/4/2023 5:01,,,,,,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +721,3900,Food & Beverage,Marianne Liebmann,69,United States,Bozeman,Cargill,Food & Beverage,United States,,FALSE,D,F,7/11/1953 0:00,Liebmann,Marianne,,4/4/2023 5:01,Montana,West,1953,7,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +721,3900,Healthcare,Jorge Moll Filho & family,78,Brazil,Rio de Janeiro,Hospitals,Healthcare,Brazil,,TRUE,D,M,1/1/1945 0:00,Moll Filho,Jorge,,4/4/2023 5:01,,,1945,1,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +721,3900,Diversified,Fernando Roberto Moreira Salles,76,Brazil,Sao Paulo,"Banking, minerals",Diversified,Brazil,,FALSE,U,M,5/29/1946 0:00,Moreira Salles,Fernando Roberto,,4/4/2023 5:01,,,1946,5,29,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +721,3900,Diversified,Pedro Moreira Salles,63,Brazil,Sao Paulo,"Banking, minerals",Diversified,Brazil,,FALSE,U,M,10/20/1959 0:00,Moreira Salles,Pedro,,4/4/2023 5:01,,,1959,10,20,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +721,3900,Gambling & Casinos,Gabe Newell,60,United States,Seattle,Videogames,Gambling & Casinos,United States,Valve Corporation,TRUE,E,M,11/3/1962 0:00,Newell,Gabe,Cofounder and CEO,4/4/2023 5:01,Washington,West,1962,11,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +721,3900,Fashion & Retail,Alfred Oetker,56,Germany,Bielefeld,Consumer goods,Fashion & Retail,Germany,,FALSE,U,M,1/1/1967 0:00,Oetker,Alfred,,4/4/2023 5:01,,,1967,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +721,3900,Fashion & Retail,Carl Ferdinand Oetker,50,Germany,Bielefeld,Consumer goods,Fashion & Retail,Germany,,FALSE,U,M,10/3/1972 0:00,Oetker,Carl Ferdinand,,4/4/2023 5:01,,,1972,10,3,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +721,3900,Fashion & Retail,Julia Oetker,44,Germany,Bielefeld,Consumer goods,Fashion & Retail,Germany,,FALSE,U,F,1/26/1979 0:00,Oetker,Julia,,4/4/2023 5:01,,,1979,1,26,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +721,3900,Manufacturing,Ruan Hongliang & family,62,China,Jiaxing,Glass,Manufacturing,China,,TRUE,D,M,1/1/1961 0:00,Ruan,Hongliang,,4/4/2023 5:01,,,1961,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +721,3900,Finance & Investments,Mark Stevens,63,United States,Steamboat Springs,Venture capital,Finance & Investments,United States,,TRUE,D,M,2/17/1960 0:00,Stevens,Mark,,4/4/2023 5:01,Colorado,West,1960,2,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +721,3900,Finance & Investments,Tsai Hong-tu,70,Taiwan,Taipei,Finance,Finance & Investments,Taiwan,,FALSE,D,M,8/1/1952 0:00,Tsai,Hong-tu,,4/4/2023 5:01,,,1952,8,1,,,,,,,,,,, +721,3900,Food & Beverage,Nusli Wadia,79,India,Mumbai,Consumer goods,Food & Beverage,India,,FALSE,U,M,2/15/1944 0:00,Wadia,Nusli,,4/4/2023 5:01,,,1944,2,15,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +721,3900,Healthcare,Wu Yiling,73,China,Shijiazhuang,Pharmaceuticals,Healthcare,China,,TRUE,E,M,10/24/1949 0:00,Wu,Yiling,,4/4/2023 5:01,,,1949,10,24,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +721,3900,Manufacturing,Yu Renrong,57,China,Ningbo,Semiconductors,Manufacturing,China,,TRUE,D,M,4/1/1966 0:00,Yu,Renrong,,4/4/2023 5:01,,,1966,4,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +721,3900,Healthcare,Zhu Baoguo & family,60,China,Shenzhen,Pharmaceuticals,Healthcare,China,,TRUE,D,M,4/25/1962 0:00,Zhu,Baoguo,,4/4/2023 5:01,,,1962,4,25,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +748,3800,Service,Rahul Bhatia,63,India,Delhi,Aviation,Service,India,,FALSE,Split Family Fortune,M,6/10/1959 0:00,Bhatia,Rahul,,4/4/2023 5:01,,,1959,6,10,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +748,3800,Construction & Engineering,Francesco Gaetano Caltagirone,80,Italy,Rome,"Cement, diversified",Construction & Engineering,Italy,,TRUE,D,M,3/21/1943 0:00,Caltagirone,Francesco Gaetano,,4/4/2023 5:01,,,1943,3,21,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +748,3800,Media & Entertainment,Barry Diller,81,United States,New York,Online media,Media & Entertainment,United States,,TRUE,D,M,2/2/1942 0:00,Diller,Barry,,4/4/2023 5:01,New York,Northeast,1942,2,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +748,3800,Finance & Investments,Wesley Edens,61,United States,New York,Investments,Finance & Investments,United States,,TRUE,U,M,10/31/1961 0:00,Edens,Wesley,,4/4/2023 5:01,New York,Northeast,1961,10,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +748,3800,Finance & Investments,Stephen Feinberg,63,United States,New York,Private equity,Finance & Investments,United States,Cerberus Capital Management,TRUE,U,M,3/29/1960 0:00,Feinberg,Stephen,Co-founder and CEO,4/4/2023 5:01,New York,Northeast,1960,3,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +748,3800,Service,Rakesh Gangwal,69,United States,Miami,Airline,Service,United States,,TRUE,D,M,7/25/1953 0:00,Gangwal,Rakesh,,4/4/2023 5:01,Florida,South,1953,7,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +748,3800,Food & Beverage,Joseph Grendys,61,United States,Chicago,Poultry processing,Food & Beverage,United States,,TRUE,U,M,12/1/1961 0:00,Grendys,Joseph,,4/4/2023 5:01,Illinois,Midwest,1961,12,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +748,3800,Media & Entertainment,Martha Ingram & family,87,United States,Nashville,"Book distribution, transportation",Media & Entertainment,United States,"Ingram Industries, Inc.",FALSE,D,F,8/20/1935 0:00,Ingram,Martha,Former Chairman,4/4/2023 5:01,Tennessee,South,1935,8,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +748,3800,Automotive,Li Xiang,41,China,Beijing,Electric vehicles,Automotive,China,,TRUE,D,M,10/1/1981 0:00,Li,Xiang,,4/4/2023 5:01,,,1981,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +748,3800,Real Estate,"H. Ross Perot, Jr.",64,United States,Dallas,Real estate,Real Estate,United States,,FALSE,U,M,11/7/1958 0:00,Perot,H. Ross,,4/4/2023 5:01,Texas,South,1958,11,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +748,3800,Real Estate,Chandru Raheja,82,India,Mumbai,Real estate,Real Estate,India,,FALSE,U,M,10/1/1940 0:00,Raheja,Chandru,,4/4/2023 5:01,,,1940,10,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +748,3800,Energy,Trevor Rees-Jones,71,United States,Dallas,Oil & gas,Energy,United States,,TRUE,D,M,8/12/1951 0:00,Rees-Jones,Trevor,,4/4/2023 5:01,Texas,South,1951,8,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +748,3800,Telecom,Yasumitsu Shigeta,58,Japan,Tokyo,Mobile phone retailer,Telecom,Japan,,TRUE,U,M,2/25/1965 0:00,Shigeta,Yasumitsu,,4/4/2023 5:01,,,1965,2,25,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +748,3800,Healthcare,Su Qingcan,54,China,Xiamen,Healthcare,Healthcare,China,,TRUE,N,M,1/1/1969 0:00,Su,Qingcan,,4/4/2023 5:01,,,1969,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +748,3800,Finance & Investments,Tsai Cheng-ta,73,Taiwan,Taipei,Finance,Finance & Investments,Taiwan,,FALSE,D,M,4/1/1950 0:00,Tsai,Cheng-ta,,4/4/2023 5:01,,,1950,4,1,,,,,,,,,,, +748,3800,Service,Steven Udvar-Hazy,77,United States,Westlake,Aircraft leasing,Service,United States,Air Lease Corp.,TRUE,D,M,2/23/1946 0:00,Udvar-Hazy,Steven,CEO and Chairman,4/4/2023 5:01,Texas,South,1946,2,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +748,3800,Manufacturing,Elizabeth Uihlein,77,United States,Lake Forest,Packaging materials,Manufacturing,United States,,TRUE,N,F,7/7/1945 0:00,Uihlein,Elizabeth,Entrepreneur,4/4/2023 5:01,Illinois,Midwest,1945,7,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +748,3800,Manufacturing,Richard Uihlein,77,United States,Lake Forest,Packaging materials,Manufacturing,United States,,TRUE,N,M,8/27/1945 0:00,Uihlein,Richard,,4/4/2023 5:01,Illinois,Midwest,1945,8,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Finance & Investments,Hayes Barnard,51,United States,Austin,Fintech,Finance & Investments,United States,,TRUE,N,M,2/15/1972 0:00,Barnard,Hayes,,4/4/2023 5:01,Texas,South,1972,2,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Finance & Investments,William Berkley,76,United States,Coconut Grove,Insurance,Finance & Investments,United States,WR Berkley,TRUE,E,M,9/1/1946 0:00,Berkley,William,Chairman and CEO,4/4/2023 5:01,Florida,South,1946,9,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Real Estate,Charles Cohen,71,United States,New York,Real estate,Real Estate,United States,,FALSE,U,M,2/8/1952 0:00,Cohen,Charles,,4/4/2023 5:01,New York,Northeast,1952,2,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Real Estate,Yakir Gabay,56,United Kingdom,London,Real estate,Real Estate,Cyprus,,TRUE,D,M,4/13/1966 0:00,Gabay,Yakir,,4/4/2023 5:01,,,1966,4,13,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +766,3700,Technology,Huang Li,59,China,Wuhan,Imaging systems,Technology,China,,TRUE,D,M,6/27/1963 0:00,Huang,Li,,4/4/2023 5:01,,,1963,6,27,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +766,3700,Logistics,Brad Jacobs,66,United States,Greenwich,Logistics,Logistics,United States,,TRUE,E,M,7/1/1956 0:00,Jacobs,Brad,,4/4/2023 5:01,Connecticut,Northeast,1956,7,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Real Estate,Ji Qi,56,China,Shanghai,"Hotels, motels",Real Estate,China,,TRUE,U,M,10/1/1966 0:00,Ji,Qi,,4/4/2023 5:01,,,1966,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +766,3700,Media & Entertainment,Jason Jiang,50,China,Shanghai,Advertising,Media & Entertainment,Singapore,,TRUE,D,M,1/1/1973 0:00,Jiang,Jason,,4/4/2023 5:01,,,1973,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +766,3700,Technology,Jim Kavanaugh,60,United States,St. Louis,IT provider,Technology,United States,,TRUE,U,M,10/17/1962 0:00,Kavanaugh,Jim,,4/4/2023 5:01,Missouri,Midwest,1962,10,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Real Estate,Richard LeFrak & family,77,United States,New York,Real estate,Real Estate,United States,,FALSE,E,M,8/29/1945 0:00,LeFrak,Richard,,4/4/2023 5:01,New York,Northeast,1945,8,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Finance & Investments,Mikhail Lomtadze,47,Kazakhstan,Almaty,Fintech,Finance & Investments,Georgia,,TRUE,U,M,10/17/1975 0:00,Lomtadze,Mikhail,,4/4/2023 5:01,,,1975,10,17,182.75,5.2,"$180,161,741,180 ",61.7,104.4,73.2,11.7,28.4,18513930,48.019573,66.923684 +766,3700,Fashion & Retail,Tom Morris,68,United Kingdom,Merseyside,Retail,Fashion & Retail,United Kingdom,,TRUE,U,M,10/2/1954 0:00,Morris,Tom,,4/4/2023 5:01,,,1954,10,2,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +766,3700,Manufacturing,Shigenobu Nagamori,78,Japan,Kyoto,Motors,Manufacturing,Japan,,TRUE,D,M,8/28/1944 0:00,Nagamori,Shigenobu,,4/4/2023 5:01,,,1944,8,28,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +766,3700,Finance & Investments,Daniel Och,62,United States,Miami Beach,Hedge funds,Finance & Investments,United States,Och-Ziff Capital Management,TRUE,D,M,1/27/1961 0:00,Och,Daniel,Founder,4/4/2023 5:01,Florida,South,1961,1,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Fashion & Retail,Horst Paulmann & family,88,Chile,Santiago,Retail,Fashion & Retail,Chile,,TRUE,U,M,1/1/1935 0:00,Paulmann,Horst,,4/4/2023 5:01,,,1935,1,1,131.91,2.6,"$282,318,159,745 ",88.5,101.4,80,18.2,34,18952038,-35.675147,-71.542969 +766,3700,Service,Anthony Pritzker,62,United States,Los Angeles,"Hotels, investments",Service,United States,,FALSE,E,M,1/7/1961 0:00,Pritzker,Anthony,,4/4/2023 5:01,California,West,1961,1,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Technology,John Sall,75,United States,Cary,Software,Technology,United States,SAS Institute,TRUE,U,M,4/4/1948 0:00,Sall,John,"Co-Founder, Executive Vice President",4/4/2023 5:01,North Carolina,South,1948,4,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Food & Beverage,Howard Schultz,69,United States,Seattle,Starbucks,Food & Beverage,United States,,TRUE,D,M,7/19/1953 0:00,Schultz,Howard,,4/4/2023 5:01,Washington,West,1953,7,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Fashion & Retail,Richard Schulze,82,United States,Naples,Best Buy,Fashion & Retail,United States,Best Buy Co. Inc.,TRUE,D,M,1/2/1941 0:00,Schulze,Richard,Chairman,4/4/2023 5:01,Florida,South,1941,1,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +766,3700,Real Estate,Yitzhak Tshuva,74,Israel,Netanya,Real estate,Real Estate,Israel,,TRUE,D,M,7/7/1948 0:00,Tshuva,Yitzhak,,4/4/2023 5:01,,,1948,7,7,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +766,3700,Manufacturing,Wang Yanqing & family,56,China,Wuxi,Electrical equipment,Manufacturing,China,,TRUE,D,M,4/7/1966 0:00,Wang,Yanqing,,4/4/2023 5:01,,,1966,4,7,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +787,3600,Diversified,Rajiv Bajaj,56,India,Pune,Diversified,Diversified,India,,FALSE,Split Family Fortune,M,12/21/1966 0:00,Bajaj,Rajiv,,4/4/2023 5:01,,,1966,12,21,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +787,3600,Diversified,Sanjiv Bajaj,53,India,Pune,Diversified,Diversified,India,,FALSE,Split Family Fortune,M,11/2/1969 0:00,Bajaj,Sanjiv,,4/4/2023 5:01,,,1969,11,2,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +787,3600,Finance & Investments,Leonid Boguslavsky,71,Italy,Florence,Venture capital,Finance & Investments,Canada,,TRUE,D,M,6/17/1951 0:00,Boguslavsky,Leonid,,4/4/2023 5:01,,,1951,6,17,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +787,3600,Finance & Investments,Jim Coulter,63,United States,San Francisco,Private equity,Finance & Investments,United States,,TRUE,U,M,12/1/1959 0:00,Coulter,Jim,,4/4/2023 5:01,California,West,1959,12,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +787,3600,Automotive,Nicolas D'Ieteren,47,Switzerland,Anzere,"Auto parts, distribution",Automotive,Belgium,,FALSE,N,M,4/13/1975 0:00,D'Ieteren,Nicolas ,,4/4/2023 5:01,,,1975,4,13,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +787,3600,Food & Beverage,Beatriz Davila de Santo Domingo,84,Bermuda,,Beer,Food & Beverage,Colombia,,FALSE,U,F,3/7/1939 0:00,Davila de Santo Domingo,Beatriz,,4/4/2023 5:01,,,1939,3,7,,,,,,,,,,, +787,3600,Real Estate,Bob Gaglardi,82,Canada,Vancouver,Hotels,Real Estate,Canada,,TRUE,U,M,2/19/1941 0:00,Gaglardi,Bob,,4/4/2023 5:01,,,1941,2,19,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +787,3600,Finance & Investments,Jaime Gilinski Bacal,65,United Kingdom,London,Banking,Finance & Investments,Colombia,,FALSE,D,M,12/14/1957 0:00,Gilinski Bacal,Jaime,Investor,4/4/2023 5:01,,,1957,12,14,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +787,3600,Gambling & Casinos,Pansy Ho,60,Hong Kong,Hong Kong,Casinos,Gambling & Casinos,Hong Kong,,FALSE,U,F,8/26/1962 0:00,Ho,Pansy,,4/4/2023 5:01,,,1962,8,26,,,,,,,,,,, +787,3600,Finance & Investments,Alan Howard,59,Switzerland,Geneva,Hedge funds,Finance & Investments,United Kingdom,Brevan Howard Asset Management,TRUE,U,M,9/1/1963 0:00,Howard,Alan,Founder,4/4/2023 5:01,,,1963,9,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +787,3600,Automotive,Huang Yi,61,China,Beijing,Car dealerships,Automotive,Hong Kong,,TRUE,D,M,1/1/1962 0:00,Huang,Yi,,4/4/2023 5:01,,,1962,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +787,3600,Finance & Investments,Peter Kellogg,80,United States,Short Hills,Investments,Finance & Investments,United States,,FALSE,E,M,9/1/1942 0:00,Kellogg,Peter,,4/4/2023 5:01,New Jersey,Northeast,1942,9,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +787,3600,Finance & Investments,Vyacheslav Kim,53,Kazakhstan,Almaty,Fintech,Finance & Investments,Kazakhstan,,TRUE,U,M,6/12/1969 0:00,Kim,Vyacheslav,,4/4/2023 5:01,,,1969,6,12,182.75,5.2,"$180,161,741,180 ",61.7,104.4,73.2,11.7,28.4,18513930,48.019573,66.923684 +787,3600,Finance & Investments,Josh Kushner,37,United States,New York City,Venture capital,Finance & Investments,United States,Thrive Capital,TRUE,U,M,6/12/1985 0:00,Kushner,Josh,Managing Partner,4/4/2023 5:01,New York,Northeast,1985,6,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +787,3600,Real Estate,Samuel Tak Lee,83,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,D,M,4/9/1939 0:00,Lee,Samuel Tak,,4/4/2023 5:01,,,1939,4,9,,,,,,,,,,, +787,3600,Real Estate,Edwin Leong,71,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,TRUE,D,M,12/4/1951 0:00,Leong,Edwin,,4/4/2023 5:01,,,1951,12,4,,,,,,,,,,, +787,3600,Finance & Investments,"Stephen Mandel, Jr.",67,United States,Greenwich,Hedge funds,Finance & Investments,United States,Lone Pine Capital,TRUE,D,M,3/12/1956 0:00,Mandel,Stephen,Founder,4/4/2023 5:01,Connecticut,Northeast,1956,3,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +787,3600,Diversified,Mohamed Mansour,75,United Kingdom,London,Diversified,Diversified,Egypt,,TRUE,U,M,1/23/1948 0:00,Mansour,Mohamed,,4/4/2023 5:01,,,1948,1,23,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +787,3600,Fashion & Retail,Masahiro Miki,67,Japan,Tokyo,Shoes,Fashion & Retail,Japan,,TRUE,U,M,7/26/1955 0:00,Miki,Masahiro,,4/4/2023 5:01,,,1955,7,26,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +787,3600,Technology,Masahiro Noda,84,Japan,Tokyo,Software,Technology,Japan,,TRUE,U,M,8/24/1938 0:00,Noda,Masahiro,,4/4/2023 5:01,,,1938,8,24,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +787,3600,Technology,Cliff Obrecht,37,Australia,Sydney,Software,Technology,Australia,,TRUE,D,M,12/28/1985 0:00,Obrecht,Cliff,,4/4/2023 5:01,,,1985,12,28,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +787,3600,Technology,Melanie Perkins,35,Australia,Sydney,Software,Technology,Australia,Canva,TRUE,D,F,5/13/1987 0:00,Perkins,Melanie,Cofounder & CEO,4/4/2023 5:01,,,1987,5,13,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +787,3600,Finance & Investments,J.B. Pritzker,58,United States,Springfield,"Hotels, investments",Finance & Investments,United States,,FALSE,E,M,1/19/1965 0:00,Pritzker,J.B.,,4/4/2023 5:01,Illinois,Midwest,1965,1,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +787,3600,Fashion & Retail,Juan Roig,73,Spain,Valencia,Supermarkets,Fashion & Retail,Spain,,FALSE,D,M,10/8/1949 0:00,Roig,Juan,,4/4/2023 5:01,,,1949,10,8,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +787,3600,Real Estate,Jerry Speyer & family,82,United States,New York,Real estate,Real Estate,United States,,TRUE,E,M,6/23/1940 0:00,Speyer,Jerry,,4/4/2023 5:01,New York,Northeast,1940,6,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +787,3600,Fashion & Retail,Lawrence Stroll,63,Switzerland,Geneva,Fashion investments,Fashion & Retail,Canada,,TRUE,U,M,7/11/1959 0:00,Stroll,Lawrence,,4/4/2023 5:01,,,1959,7,11,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +787,3600,Logistics,Tung Chee Chen,80,Hong Kong,Hong Kong,Shipping,Logistics,Hong Kong,,FALSE,E,M,12/15/1942 0:00,Tung,Chee Chen,,4/4/2023 5:01,,,1942,12,15,,,,,,,,,,, +787,3600,Food & Beverage,Wang Junlin,60,China,Chengdu,Liquor,Food & Beverage,China,,TRUE,D,M,9/1/1962 0:00,Wang,Junlin,,4/4/2023 5:01,,,1962,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +787,3600,Automotive,Xia Zuoquan,61,China,Shenzhen,"Automobiles, batteries",Automotive,China,,TRUE,U,M,1/1/1962 0:00,Xia,Zuoquan,,4/4/2023 5:01,,,1962,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +787,3600,Technology,Zeng Fangqin,57,China,Shenzhen,Smartphone components,Technology,China,,TRUE,D,F,12/25/1965 0:00,Zeng,Fangqin,,4/4/2023 5:01,,,1965,12,25,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +787,3600,Manufacturing,Zhang Jian,54,China,Tianjin,"Electric bikes, scooters",Manufacturing,China,,TRUE,U,M,1/1/1969 0:00,Zhang,Jian,,4/4/2023 5:01,,,1969,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +818,3500,Fashion & Retail,Rocco Basilico,33,United States,Los Angeles,Eyeglasses,Fashion & Retail,Italy,,FALSE,N,M,7/11/1989 0:00,Basilico,Rocco,,4/4/2023 5:01,California,West,1989,7,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +818,3500,Healthcare,Maurizio Billi,65,Brazil,Sao Paulo,Generic drugs,Healthcare,Brazil,,FALSE,U,M,11/22/1957 0:00,Billi,Maurizio,,4/4/2023 5:01,,,1957,11,22,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +818,3500,Finance & Investments,Fashu Chen,62,China,Fuzhou,Investments,Finance & Investments,China,,TRUE,D,M,10/26/1960 0:00,Chen,Fashu,,4/4/2023 5:01,,,1960,10,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +818,3500,Manufacturing,Giuseppe Crippa & family,87,Italy,Cernusco Lombardone,Microchip testing,Manufacturing,Italy,,TRUE,U,M,5/5/1935 0:00,Crippa,Giuseppe,,4/4/2023 5:01,,,1935,5,5,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +818,3500,Finance & Investments,Daniel D'Aniello,76,United States,Vienna,Private equity,Finance & Investments,United States,,TRUE,D,M,9/14/1946 0:00,D'Aniello,Daniel,,4/4/2023 5:01,Virginia,South,1946,9,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +818,3500,Fashion & Retail,Claudio Del Vecchio,66,United States,Muttontown,Eyeglasses,Fashion & Retail,Italy,,FALSE,N,M,2/26/1957 0:00,Del Vecchio,Claudio,,4/4/2023 5:01,New York,Northeast,1957,2,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +818,3500,Fashion & Retail,Clemente Del Vecchio,18,Italy,Milan,Eyeglases,Fashion & Retail,Italy,,FALSE,N,M,5/6/2004 0:00,Del Vecchio,Clemente,,4/4/2023 5:01,,,2004,5,6,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +818,3500,Fashion & Retail,Leonardo Maria Del Vecchio,27,Italy,Milan,Eyeglasses,Fashion & Retail,Italy,,FALSE,N,M,5/6/1995 0:00,Del Vecchio,Leonardo Maria,,4/4/2023 5:01,,,1995,5,6,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +818,3500,Fashion & Retail,Luca Del Vecchio,21,Italy,Milan,Eyeglasses,Fashion & Retail,Italy,,FALSE,N,M,8/31/2001 0:00,Del Vecchio,Luca,,4/4/2023 5:01,,,2001,8,31,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +818,3500,Fashion & Retail,Marisa Del Vecchio,64,Italy,Rome,Eyeglasses,Fashion & Retail,Italy,,FALSE,N,F,7/10/1958 0:00,Del Vecchio,Marisa,,4/4/2023 5:01,,,1958,7,10,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +818,3500,Fashion & Retail,Paola Del Vecchio,61,Luxembourg,Luxembourg,Eyeglasses,Fashion & Retail,Italy,,FALSE,N,F,5/14/1961 0:00,Del Vecchio,Paola,,4/4/2023 5:01,,,1961,5,14,115.09,1.7,"$71,104,919,108 ",19.2,102.3,82.1,26.5,20.4,645397,49.815273,6.129583 +818,3500,Finance & Investments,Walter P.J. Droege,70,Germany,Dusseldorf,Investing,Finance & Investments,Germany,,TRUE,D,M,11/25/1952 0:00,Droege,Walter P.J.,,4/4/2023 5:01,,,1952,11,25,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +818,3500,Fashion & Retail,Fan Daidi,57,China,Xian,Skincare,Fashion & Retail,China,,TRUE,N,F,1/1/1966 0:00,Fan ,Daidi,,4/4/2023 5:01,,,1966,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +818,3500,Technology,Peter Gassner,58,United States,Pleasanton,Software,Technology,United States,,TRUE,U,M,2/26/1965 0:00,Gassner,Peter,,4/4/2023 5:01,California,West,1965,2,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +818,3500,Energy,Mikhail Gutseriev,65,Russia,Moscow,"Oil, coal, real estate",Energy,Russia,,TRUE,U,M,3/9/1958 0:00,Gutseriev,Mikhail,,4/4/2023 5:01,,,1958,3,9,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +818,3500,Manufacturing,Patrick Lee,81,Hong Kong,Hong Kong,Paper,Manufacturing,Hong Kong,,TRUE,D,M,1/1/1942 0:00,Lee,Patrick,,4/4/2023 5:01,,,1942,1,1,,,,,,,,,,, +818,3500,Food & Beverage,Leng Youbin,54,China,Beijing,Infant formula,Food & Beverage,China,,TRUE,D,M,1/1/1969 0:00,Leng,Youbin,,4/4/2023 5:01,,,1969,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +818,3500,Finance & Investments,Daniel Loeb,61,United States,New York,Hedge funds,Finance & Investments,United States,Third Point,TRUE,D,M,12/18/1961 0:00,Loeb,Daniel,Investor,4/4/2023 5:01,New York,Northeast,1961,12,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +818,3500,Food & Beverage,Margarita Louis-Dreyfus & family,60,Switzerland,Davos,Commodities,Food & Beverage,Switzerland,Louis Dreyfus SAS,FALSE,D,F,6/1/1962 0:00,Louis-Dreyfus,Margarita,President,4/4/2023 5:01,,,1962,6,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +818,3500,Healthcare,Prasert Prasarttong-Osoth,90,Thailand,Bangkok,Hospitals,Healthcare,Thailand,,TRUE,U,M,3/26/1933 0:00,Prasarttong-Osoth,Prasert,,4/4/2023 5:01,,,1933,3,26,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +818,3500,Finance & Investments,Ira Rennert,88,United States,New York,Investments,Finance & Investments,United States,,TRUE,D,M,5/31/1934 0:00,Rennert,Ira,,4/4/2023 5:01,New York,Northeast,1934,5,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +818,3500,Fashion & Retail,Dirk Rossmann & family,76,Germany,Lower-Saxony,Drugstores,Fashion & Retail,Germany,,TRUE,U,M,9/7/1946 0:00,Rossmann,Dirk,,4/4/2023 5:01,,,1946,9,7,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +818,3500,Construction & Engineering,Arkady Rotenberg,71,Russia,Moscow,"Construction, pipes, banking",Construction & Engineering,Russia,,TRUE,U,M,12/15/1951 0:00,Rotenberg,Arkady,,4/4/2023 5:01,,,1951,12,15,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +818,3500,Fashion & Retail,Remo Ruffini,61,Italy,Como,Winter jackets,Fashion & Retail,Italy,,TRUE,U,M,8/27/1961 0:00,Ruffini,Remo,,4/4/2023 5:01,,,1961,8,27,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +818,3500,Healthcare,Karin Sartorius-Herbst,,Germany,Northeim,Biopharmaceuticals,Healthcare,Germany,,FALSE,U,F,,Sartorius-Herbst,Karin,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +818,3500,Automotive,Vivek Chaand Sehgal,66,India,Delhi,Auto parts,Automotive,Australia,,TRUE,U,M,9/28/1956 0:00,Sehgal,Vivek Chaand,,4/4/2023 5:01,,,1956,9,28,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +818,3500,Finance & Investments,Scott Shleifer,45,United States,New York,Private equity,Finance & Investments,United States,Tiger Global Management,TRUE,D,M,6/14/1977 0:00,Shleifer,Scott,Investor,4/4/2023 5:01,New York,Northeast,1977,6,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +818,3500,Technology,Thomas Siebel,70,United States,Woodside,Business software,Technology,United States,,TRUE,E,M,11/22/1952 0:00,Siebel,Thomas,,4/4/2023 5:01,California,West,1952,11,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +818,3500,Manufacturing,Wim van der Leegte & family,75,Netherlands,Eindhoven,Manufacturing,Manufacturing,Netherlands,,FALSE,U,M,8/23/1947 0:00,van der Leegte,Wim,,4/4/2023 5:01,,,1947,8,23,115.91,2.6,"$909,070,395,161 ",85,104.2,81.8,23,41.2,17332850,52.132633,5.291266 +818,3500,Diversified,Xiao Yongming & family,58,China,Beijing,Fertilizer,Diversified,China,,TRUE,D,M,7/1/1964 0:00,Xiao,Yongming,,4/4/2023 5:01,,,1964,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +818,3500,Technology,Michael Xie,54,United States,Los Altos Hills,Cybersecurity,Technology,United States,,TRUE,U,M,2/20/1969 0:00,Xie,Michael,,4/4/2023 5:01,California,West,1969,2,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +818,3500,Logistics,Yang Shaopeng,65,China,Qingdao,Shipping,Logistics,China,,TRUE,D,M,1/1/1958 0:00,Yang,Shaopeng,,4/4/2023 5:01,,,1958,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +818,3500,Fashion & Retail,Nicoletta Zampillo,65,Monaco,Monaco,Eyeglasses,Fashion & Retail,Italy,,FALSE,N,F,3/28/1958 0:00,Zampillo,Nicoletta,,4/4/2023 5:01,,,1958,3,28,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +818,3500,Manufacturing,Barry Zekelman,56,Canada,Windsor,Steel,Manufacturing,Canada,,FALSE,U,M,1/3/1967 0:00,Zekelman,Barry,,4/4/2023 5:01,,,1967,1,3,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +852,3400,Finance & Investments,William Ackman,56,United States,New York,Hedge funds,Finance & Investments,United States,"Pershing Square Capital Management, L.P.",TRUE,U,M,5/11/1966 0:00,Ackman,William,"Founder, CEO",4/4/2023 5:01,New York,Northeast,1966,5,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +852,3400,Energy,Somphote Ahunai,55,Thailand,Bangkok,Renewable energy,Energy,Thailand,,TRUE,D,M,6/1/1967 0:00,Ahunai,Somphote,,4/4/2023 5:01,,,1967,6,1,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +852,3400,Metals & Mining,Igor Altushkin,52,Russia,Yekaterinburg,Metals,Metals & Mining,Russia,,TRUE,U,M,9/10/1970 0:00,Altushkin,Igor,,4/4/2023 5:01,,,1970,9,10,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +852,3400,Food & Beverage,Ramon Ang,69,Philippines,Manila,Diversified,Food & Beverage,Philippines,,TRUE,U,M,1/14/1954 0:00,Ang,Ramon,,4/4/2023 5:01,,,1954,1,14,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +852,3400,Food & Beverage,Acharya Balkrishna,50,India,Haridwar,Consumer goods,Food & Beverage,India,,TRUE,U,M,7/25/1972 0:00,Balkrishna,Acharya,,4/4/2023 5:01,,,1972,7,25,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +852,3400,Manufacturing,Markus Blocher,52,Switzerland,Wilen bei Wollerau,Chemicals,Manufacturing,Switzerland,,FALSE,U,M,1/1/1971 0:00,Blocher,Markus,,4/4/2023 5:01,,,1971,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +852,3400,Diversified,Richard Branson,72,British Virgin Islands,Necker Island,Virgin,Diversified,United Kingdom,,TRUE,D,M,7/18/1950 0:00,Branson,Richard,,4/4/2023 5:01,,,1950,7,18,,,,,,,,,,, +852,3400,Finance & Investments,Cho Jung-ho,64,South Korea,Seoul,Finance,Finance & Investments,South Korea,Meritz Financial Group,FALSE,U,M,10/5/1958 0:00,Cho,Jung-ho,,4/4/2023 5:01,,,1958,10,5,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +852,3400,Food & Beverage,Alessandra Garavoglia,63,Italy,Milan,Spirits,Food & Beverage,Italy,,FALSE,U,F,2/6/1960 0:00,Garavoglia,Alessandra,,4/4/2023 5:01,,,1960,2,6,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +852,3400,Fashion & Retail,Laurence Graff & family,84,Switzerland,Gstaad,Diamond jewelry,Fashion & Retail,United Kingdom,,TRUE,E,M,6/13/1938 0:00,Graff,Laurence,,4/4/2023 5:01,,,1938,6,13,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +852,3400,Media & Entertainment,"Amos Hostetter, Jr.",86,United States,Boston,Cable television,Media & Entertainment,United States,Pilot House Associates,TRUE,D,M,1/12/1937 0:00,Hostetter,Amos,Chair,4/4/2023 5:01,Massachusetts,Northeast,1937,1,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +852,3400,Sports,Robert Johnson,75,United States,Palm Beach,"Johnson & Johnson, sports",Sports,United States,,FALSE,N,M,4/12/1947 0:00,Johnson,Robert ,,4/4/2023 5:01,Florida,South,1947,4,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +852,3400,Finance & Investments,Steven Klinsky,66,United States,New York,Investments,Finance & Investments,United States,New Mountain Capital,TRUE,E,M,5/30/1956 0:00,Klinsky,Steven,Founder & CEO,4/4/2023 5:01,New York,Northeast,1956,5,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +852,3400,Fashion & Retail,William Lauder,62,United States,New York,Estee Lauder,Fashion & Retail,United States,,FALSE,D,M,4/11/1960 0:00,Lauder,William,,4/4/2023 5:01,New York,Northeast,1960,4,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +852,3400,Food & Beverage,John Middleton,68,United States,Bryn Mawr,Tobacco,Food & Beverage,United States,,FALSE,E,M,3/2/1955 0:00,Middleton,John,,4/4/2023 5:01,Pennsylvania,Northeast,1955,3,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +852,3400,Fashion & Retail,Hiroshi Mikitani,58,Japan,Tokyo,Online retail,Fashion & Retail,Japan,,TRUE,D,M,3/11/1965 0:00,Mikitani,Hiroshi,,4/4/2023 5:01,,,1965,3,11,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +852,3400,Technology,Bob Parsons,72,United States,Scottsdale,Web hosting,Technology,United States,,TRUE,E,M,11/27/1950 0:00,Parsons,Bob,,4/4/2023 5:01,Arizona,West,1950,11,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +852,3400,Finance & Investments,J. Joe Ricketts & family,81,United States,Little Jackson Hole,TD Ameritrade,Finance & Investments,United States,,TRUE,D,M,7/16/1941 0:00,Ricketts,J. Joe,,4/4/2023 5:01,Wyoming,South,1941,7,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +852,3400,Real Estate,Herb Simon,88,United States,Indianapolis,Real estate,Real Estate,United States,Simon Property Group,TRUE,D,M,10/23/1934 0:00,Simon,Herb,"Chairman Emeritus of the Board of Simon Property Group, Inc.",4/4/2023 5:01,Indiana,Midwest,1934,10,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +852,3400,Healthcare,Leena Tewari,65,India,Mumbai,Pharmaceuticals,Healthcare,India,,FALSE,D,F,9/3/1957 0:00,Tewari,Leena,,4/4/2023 5:01,,,1957,9,3,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +852,3400,Media & Entertainment,Stefan von Holtzbrinck,59,Germany,Stuttgart,Publishing,Media & Entertainment,Germany,,FALSE,U,M,5/15/1963 0:00,von Holtzbrinck,Stefan,,4/4/2023 5:01,,,1963,5,15,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +852,3400,Food & Beverage,Hans Peter Wild,81,Switzerland,Zug,Flavorings,Food & Beverage,Switzerland,,FALSE,D,M,6/16/1941 0:00,Wild,Hans Peter,,4/4/2023 5:01,,,1941,6,16,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +852,3400,Healthcare,Wu Guanjiang & family,54,China,Chongqing,Pharmaceuticals,Healthcare,China,,TRUE,D,M,12/21/1968 0:00,Wu,Guanjiang,,4/4/2023 5:01,,,1968,12,21,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +852,3400,Technology,Yi Zheng,52,China,Hangzhou,Software,Technology,China,,TRUE,U,M,10/15/1970 0:00,Yi,Zheng,,4/4/2023 5:01,,,1970,10,15,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +852,3400,Technology,Eric Yuan & family,53,United States,Santa Clara,Zoom Video Communications,Technology,United States,Zoom Video Communications,TRUE,D,M,2/20/1970 0:00,Yuan,Eric,Founder and CEO,4/4/2023 5:01,California,West,1970,2,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +852,3400,Media & Entertainment,Charles Zegar,75,United States,New York,Bloomberg LP,Media & Entertainment,United States,,TRUE,U,M,2/29/1948 0:00,Zegar,Charles,,4/4/2023 5:01,New York,Northeast,1948,2,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +878,3300,Construction & Engineering,Mohed Altrad,75,France,Montpellier,"Scaffolding, cement mixers",Construction & Engineering,France,,TRUE,D,M,3/9/1948 0:00,Altrad,Mohed,,4/4/2023 5:01,,,1948,3,9,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +878,3300,Finance & Investments,John Arnold,49,United States,Houston,Hedge funds,Finance & Investments,United States,Centaurus Advisors,TRUE,E,M,3/9/1974 0:00,Arnold,John,Founder,4/4/2023 5:01,Texas,South,1974,3,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +878,3300,Manufacturing,Bill Austin,81,United States,Brownsville,Hearing aids,Manufacturing,United States,,TRUE,U,M,2/25/1942 0:00,Austin,Bill,,4/4/2023 5:01,Texas,South,1942,2,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +878,3300,Manufacturing,Chen Shibin,56,China,Lianyungang,Quartz products,Manufacturing,China,,TRUE,U,M,11/1/1966 0:00,Chen,Shibin,,4/4/2023 5:01,,,1966,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +878,3300,Food & Beverage,Bennett Dorrance,77,United States,Paradise Valley,Campbell Soup,Food & Beverage,United States,,FALSE,U,M,2/9/1946 0:00,Dorrance,Bennett,,4/4/2023 5:01,Arizona,West,1946,2,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +878,3300,Food & Beverage,Walter Faria,68,Brazil,Rio de Janeiro,Beer,Food & Beverage,Brazil,,TRUE,E,M,4/1/1955 0:00,Faria,Walter,,4/4/2023 5:01,,,1955,4,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +878,3300,Automotive,Walter Frey,79,Switzerland,Küsnacht,Car dealerships,Automotive,Switzerland,,FALSE,U,M,7/30/1943 0:00,Frey,Walter,,4/4/2023 5:01,,,1943,7,30,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +878,3300,Technology,Fu Liquan & family,55,China,Hangzhou,Surveillance equipment,Technology,China,,TRUE,D,M,8/1/1967 0:00,Fu,Liquan,,4/4/2023 5:01,,,1967,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +878,3300,Real Estate,John Gandel,88,Australia,Melbourne,Shopping malls,Real Estate,Australia,,FALSE,E,M,8/13/1934 0:00,Gandel,John,,4/4/2023 5:01,,,1934,8,13,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +878,3300,Construction & Engineering,Peter Gilgan,72,Canada,Oakville,Homebuilding,Construction & Engineering,Canada,Mattamy Group Corp.,TRUE,U,M,1/1/1951 0:00,Gilgan,Peter,"Founder, CEO and Chairman",4/4/2023 5:01,,,1951,1,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +878,3300,Diversified,Kwek Leng Beng,82,Singapore,Singapore,Diversified,Diversified,Singapore,,FALSE,U,M,1/1/1941 0:00,Kwek,Leng Beng,,4/4/2023 5:01,,,1941,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +878,3300,Finance & Investments,Pablo Legorreta,59,United States,Sag Harbor,Investments,Finance & Investments,United States,,TRUE,D,M,10/30/1963 0:00,Legorreta,Pablo,,4/4/2023 5:01,New York,Northeast,1963,10,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +878,3300,Media & Entertainment,Arnon Milchan,78,Israel,Tel Aviv,Movie making,Media & Entertainment,Israel,,TRUE,D,M,12/6/1944 0:00,Milchan,Arnon,,4/4/2023 5:01,,,1944,12,6,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +878,3300,Fashion & Retail,Akio Nitori,79,Japan,Hokkaido,Home furnishings,Fashion & Retail,Japan,,TRUE,D,M,3/5/1944 0:00,Nitori,Akio,,4/4/2023 5:01,,,1944,3,5,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +878,3300,Metals & Mining,Julio Ponce Lerou,77,Chile,Santiago,Fertilizer,Metals & Mining,Chile,,TRUE,D,M,11/13/1945 0:00,Ponce Lerou,Julio,,4/4/2023 5:01,,,1945,11,13,131.91,2.6,"$282,318,159,745 ",88.5,101.4,80,18.2,34,18952038,-35.675147,-71.542969 +878,3300,Finance & Investments,Rodger Riney & family,77,United States,St. Louis,Discount brokerage,Finance & Investments,United States,"Scottrade, Inc.",TRUE,D,M,1/1/1946 0:00,Riney,Rodger,Cofounder,4/4/2023 5:01,Missouri,Midwest,1946,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +878,3300,Diversified,Phil Ruffin,88,United States,Las Vegas,"Casinos, real estate",Diversified,United States,,TRUE,U,M,3/17/1935 0:00,Ruffin,Phil,,4/4/2023 5:01,Nevada,West,1935,3,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +878,3300,Telecom,Naguib Sawiris,68,Egypt,Cairo,Telecom,Telecom,Egypt,,FALSE,D,M,6/15/1954 0:00,Sawiris,Naguib,,4/4/2023 5:01,,,1954,6,15,288.57,9.2,"$303,175,127,598 ",35.2,106.3,71.8,12.5,44.4,100388073,26.820553,30.802498 +878,3300,Finance & Investments,Neil Shen,55,China,Hong Kong,Venture capital,Finance & Investments,Hong Kong,Sequoia China,TRUE,D,M,12/16/1967 0:00,Shen,Neil,Investor,4/4/2023 5:01,,,1967,12,16,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +878,3300,Technology,Gil Shwed,54,Israel,Tel Aviv,Software,Technology,Israel,,TRUE,D,M,6/12/1968 0:00,Shwed,Gil,,4/4/2023 5:01,,,1968,6,12,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +878,3300,Finance & Investments,Stephen Smith,71,Canada,Toronto,Finance and investments,Finance & Investments,Canada,,TRUE,U,M,6/2/1951 0:00,Smith,Stephen,,4/4/2023 5:01,,,1951,6,2,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +878,3300,Finance & Investments,Nik Storonsky,38,United Kingdom,London,Fintech,Finance & Investments,United Kingdom,,TRUE,D,M,7/21/1984 0:00,Storonsky,Nik,,4/4/2023 5:01,,,1984,7,21,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +878,3300,Finance & Investments,Jeffrey Talpins,48,United States,Larchmont,Hedge fund,Finance & Investments,United States,Element Capital Management,TRUE,U,M,3/6/1975 0:00,Talpins,Jeffrey,Founder,4/4/2023 5:01,New York,Northeast,1975,3,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +878,3300,Finance & Investments,Carl Thoma,74,United States,Dallas,Investments,Finance & Investments,United States,,TRUE,U,M,10/12/1948 0:00,Thoma,Carl,Investor,4/4/2023 5:01,Texas,South,1948,10,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +878,3300,Manufacturing,Todd Wanek,59,United States,St. Petersburg,Furniture,Manufacturing,United States,,FALSE,D,M,3/16/1964 0:00,Wanek,Todd,,4/4/2023 5:01,Florida,South,1964,3,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +878,3300,Manufacturing,Xue Hua,53,China,Guangzhou,Agribusiness,Manufacturing,China,,TRUE,D,M,,Xue,Hua,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +878,3300,Fashion & Retail,Takao Yasuda,73,Singapore,Singapore,Retail,Fashion & Retail,Japan,,TRUE,U,M,5/7/1949 0:00,Yasuda,Takao,,4/4/2023 5:01,,,1949,5,7,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +905,3200,Food & Beverage,Karen Virginia Beckmann Legoretta,53,,,Tequila,Food & Beverage,Mexico,,FALSE,U,F,,Beckmann Legoretta,Karen Virginia,,4/4/2023 5:01,,,,,,,,,,,,,,,, +905,3200,Fashion & Retail,Giuliana Benetton,85,Italy,Treviso,"Fashion retail, investments",Fashion & Retail,Italy,,TRUE,U,F,7/8/1937 0:00,Benetton,Giuliana,,4/4/2023 5:01,,,1937,7,8,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +905,3200,Fashion & Retail,Luciano Benetton,87,Italy,Ponzano Veneto,"Fashion retail, investments",Fashion & Retail,Italy,,TRUE,U,M,5/13/1935 0:00,Benetton,Luciano,,4/4/2023 5:01,,,1935,5,13,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +905,3200,Manufacturing,Arun Bharat Ram,82,India,Delhi,Chemicals,Manufacturing,India,,FALSE,D,M,11/15/1940 0:00,Bharat Ram,Arun,,4/4/2023 5:01,,,1940,11,15,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +905,3200,Finance & Investments,Ron Burkle,70,United Kingdom,London,"Supermarkets, investments",Finance & Investments,United States,"The Yucaipa Companies, LLC",TRUE,U,M,11/12/1952 0:00,Burkle,Ron,Investor,4/4/2023 5:01,,,1952,11,12,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +905,3200,Manufacturing,Chen Kaixuan,64,China,Guangzhou,Household chemicals,Manufacturing,China,,TRUE,D,M,5/1/1958 0:00,Chen,Kaixuan,,4/4/2023 5:01,,,1958,5,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +905,3200,Fashion & Retail,Brunello Cucinelli & family,69,Italy,Solomeo,Fashion,Fashion & Retail,Italy,,TRUE,U,M,9/3/1953 0:00,Cucinelli,Brunello,,4/4/2023 5:01,,,1953,9,3,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +905,3200,Manufacturing,Antonio Del Valle Ruiz & family,84,Mexico,Mexico City,Chemicals,Manufacturing,Mexico,,TRUE,D,M,8/13/1938 0:00,Del Valle Ruiz,Antonio,,4/4/2023 5:01,,,1938,8,13,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +905,3200,Healthcare,Gustavo Denegri & family,86,Italy,torino,Biotech,Healthcare,Italy,,TRUE,Split Family Fortune,M,3/17/1937 0:00,Denegri,Gustavo,,4/4/2023 5:01,,,1937,3,17,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +905,3200,Automotive,Dong Jinggui,53,China,Wuxi,Electric scooters,Automotive,China,,TRUE,U,M,,Dong,Jinggui,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +905,3200,Media & Entertainment,Charles Ergen,70,United States,Denver,Satellite TV,Media & Entertainment,United States,DISH Network,TRUE,D,M,3/1/1953 0:00,Ergen,Charles,Founder and Chairman,4/4/2023 5:01,Colorado,West,1953,3,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Technology,David Filo,56,United States,Palo Alto,Yahoo,Technology,United States,Yahoo!,TRUE,D,M,4/15/1966 0:00,Filo,David,Chief Yahoo,4/4/2023 5:01,California,West,1966,4,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Logistics,Lindsay Fox,85,Australia,Melbourne,"Logistics, real estate",Logistics,Australia,,TRUE,U,M,4/19/1937 0:00,Fox,Lindsay,,4/4/2023 5:01,,,1937,4,19,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +905,3200,Fashion & Retail,Sergei Galitsky,55,Russia,Krasnodar,Retail,Fashion & Retail,Russia,,TRUE,E,M,8/14/1967 0:00,Galitsky,Sergei,,4/4/2023 5:01,,,1967,8,14,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +905,3200,Technology,Senapathy Gopalakrishnan,67,India,Bangalore,Software services,Technology,India,,TRUE,D,M,4/5/1955 0:00,Gopalakrishnan,Senapathy,,4/4/2023 5:01,,,1955,4,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +905,3200,Fashion & Retail,Luciano Hang,60,Brazil,Brusque,Department stores,Fashion & Retail,Brazil,,TRUE,D,M,10/11/1962 0:00,Hang,Luciano,,4/4/2023 5:01,,,1962,10,11,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +905,3200,Finance & Investments,Michael Hintze,69,United Kingdom,London,Investment,Finance & Investments,Australia,CQS LLP,TRUE,E,M,7/27/1953 0:00,Hintze,Michael,Founder,4/4/2023 5:01,,,1953,7,27,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +905,3200,Healthcare,Hu Baifan,60,China,Shaoxing,Pharmaceuticals,Healthcare,China,,TRUE,D,M,10/1/1962 0:00,Hu,Baifan,,4/4/2023 5:01,,,1962,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +905,3200,Finance & Investments,Hamilton James & family,71,United States,New York,Investments,Finance & Investments,United States,,TRUE,U,M,8/3/1951 0:00,James,Hamilton,,4/4/2023 5:01,New York,Northeast,1951,8,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Technology,Lee Boo-jin,52,South Korea,Seoul,Samsung,Technology,South Korea,,FALSE,D,F,10/6/1970 0:00,Lee,Boo-jin,,4/4/2023 5:01,,,1970,10,6,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +905,3200,Manufacturing,Li Liangbin,55,China,Xinyu,Lithium,Manufacturing,China,,TRUE,D,M,9/1/1967 0:00,Li,Liangbin,,4/4/2023 5:01,,,1967,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +905,3200,Manufacturing,Liang Feng,54,China,Shanghai,Manufacturing,Manufacturing,China,,TRUE,D,M,11/22/1968 0:00,Liang,Feng,,4/4/2023 5:01,,,1968,11,22,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +905,3200,Healthcare,Samir Mehta,59,India,Ahmedabad,"Pharmaceuticals, power",Healthcare,India,,FALSE,U,M,9/18/1963 0:00,Mehta,Samir,,4/4/2023 5:01,,,1963,9,18,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +905,3200,Healthcare,Sudhir Mehta,68,India,Ahmedabad,"Pharmaceuticals, power",Healthcare,India,,FALSE,U,M,4/10/1954 0:00,Mehta,Sudhir,,4/4/2023 5:01,,,1954,4,10,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +905,3200,Metals & Mining,Aristotelis Mistakidis,61,Switzerland,Zug,"Mining, commodities",Metals & Mining,Greece,,TRUE,D,M,11/21/1961 0:00,Mistakidis,Aristotelis,,4/4/2023 5:01,,,1961,11,21,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +905,3200,Real Estate,Geoffrey Palmer,72,United States,Beverly Hills,Real estate,Real Estate,United States,,FALSE,N,M,5/11/1950 0:00,Palmer,Geoffrey,,4/4/2023 5:01,California,West,1950,5,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Automotive,Roger Penske,86,United States,Birmingham,Cars,Automotive,United States,,TRUE,U,M,2/20/1937 0:00,Penske,Roger,,4/4/2023 5:01,Michigan,Midwest,1937,2,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Construction & Engineering,Ravi Pillai,69,United Arab Emirates,Dubai,Construction,Construction & Engineering,India,,TRUE,U,M,9/2/1953 0:00,Pillai,Ravi,,4/4/2023 5:01,,,1953,9,2,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +905,3200,Finance & Investments,David Rubenstein,73,United States,Bethesda,Private equity,Finance & Investments,United States,Carlyle Group,TRUE,D,M,8/11/1949 0:00,Rubenstein,David,Cofounder and Co-executive Chairman,4/4/2023 5:01,Maryland,South,1949,8,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Food & Beverage,Hilton Schlosberg,70,United States,Irvine,Energy drinks,Food & Beverage,United Kingdom,,TRUE,U,M,1/1/1953 0:00,Schlosberg,Hilton,,4/4/2023 5:01,California,West,1953,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Service,Klaus-Peter Schulenberg,71,Germany,Bremen,Ticketing service,Service,Germany,,TRUE,U,M,7/1/1951 0:00,Schulenberg,Klaus-Peter,,4/4/2023 5:01,,,1951,7,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +905,3200,Energy,Lynn Schusterman & family,84,United States,Tulsa,"Oil & gas, investments",Energy,United States,,FALSE,D,F,1/21/1939 0:00,Schusterman,Lynn,,4/4/2023 5:01,Oklahoma,South,1939,1,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Manufacturing,Isabella Seràgnoli,77,Italy,Bologna,Packaging,Manufacturing,Italy,,FALSE,U,F,12/23/1945 0:00,Seràgnoli,Isabella,,4/4/2023 5:01,,,1945,12,23,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +905,3200,Fashion & Retail,Shen Guojun,60,China,Beijing,Retail,Fashion & Retail,China,,TRUE,D,M,7/31/1962 0:00,Shen,Guojun,,4/4/2023 5:01,,,1962,7,31,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +905,3200,Finance & Investments,Warren Stephens,66,United States,Little Rock,Investment banking,Finance & Investments,United States,,FALSE,U,M,2/18/1957 0:00,Stephens,Warren,,4/4/2023 5:01,Arkansas,South,1957,2,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Healthcare,Pat Stryker,66,United States,Fort Collins,Medical equipment,Healthcare,United States,,FALSE,U,F,4/6/1956 0:00,Stryker,Pat,,4/4/2023 5:01,Colorado,West,1956,4,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Logistics,Roman Trotsenko,52,Russia,Moscow,"Transport, engineering, real estate",Logistics,Russia,,TRUE,R,M,9/12/1970 0:00,Trotsenko,Roman,,4/4/2023 5:01,,,1970,9,12,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +905,3200,Technology,Harald Tschira,48,Germany,Heidelberg,Software,Technology,Germany,,FALSE,Split Family Fortune,M,4/25/1974 0:00,Tschira,Harald,,4/4/2023 5:01,,,1974,4,25,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +905,3200,Technology,Udo Tschira,53,Germany,Wiesloch,Software,Technology,Germany,,FALSE,Split Family Fortune,M,9/17/1969 0:00,Tschira,Udo,,4/4/2023 5:01,,,1969,9,17,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +905,3200,Finance & Investments,Vincent Viola,67,United States,New York,Electronic trading,Finance & Investments,United States,,TRUE,D,M,2/12/1956 0:00,Viola,Vincent,,4/4/2023 5:01,New York,Northeast,1956,2,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Food & Beverage,Wu Shaoxun,67,China,Daye,Wine,Food & Beverage,China,,TRUE,D,M,1/1/1956 0:00,Wu,Shaoxun,,4/4/2023 5:01,,,1956,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +905,3200,Gambling & Casinos,Steve Wynn,81,United States,Palm Beach,"Casinos, hotels",Gambling & Casinos,United States,Wynn Resorts,TRUE,D,M,1/27/1942 0:00,Wynn,Steve,Cofounder,4/4/2023 5:01,Florida,South,1942,1,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Gambling & Casinos,Jon Yarbrough,65,United States,Franklin,Video games,Gambling & Casinos,United States,,TRUE,U,M,5/10/1957 0:00,Yarbrough,Jon,,4/4/2023 5:01,Tennessee,South,1957,5,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +905,3200,Manufacturing,Zhou Bajin,87,China,Changzhou,Auto parts,Manufacturing,China,,TRUE,D,M,5/1/1935 0:00,Zhou,Bajin,,4/4/2023 5:01,,,1935,5,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +949,3100,Manufacturing,Cho Tak Wong,76,China,Fuqing,Auto parts,Manufacturing,Hong Kong,,TRUE,D,M,5/15/1946 0:00,Cho,Tak Wong,,4/4/2023 5:01,,,1946,5,15,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +949,3100,Gambling & Casinos,John Coates,53,United Kingdom,Stoke-On-Trent,Online gambling,Gambling & Casinos,United Kingdom,,TRUE,U,M,1/7/1970 0:00,Coates,John,,4/4/2023 5:01,,,1970,1,7,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +949,3100,Finance & Investments,Ryan Cohen,37,United States,Bal Harbour,Investments,Finance & Investments,Canada,,TRUE,U,M,8/4/1985 0:00,Cohen,Ryan,,4/4/2023 5:01,Florida,South,1985,8,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +949,3100,Food & Beverage,Deng Wen,55,China,Chengdu,Flavorings,Food & Beverage,China,,TRUE,U,M,3/1/1968 0:00,Deng,Wen,,4/4/2023 5:01,,,1968,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +949,3100,Manufacturing,Gurbachan Singh Dhingra,72,India,Delhi,Paints,Manufacturing,India,,TRUE,D,M,4/9/1950 0:00,Dhingra,Gurbachan Singh,,4/4/2023 5:01,,,1950,4,9,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +949,3100,Manufacturing,Kuldip Singh Dhingra,75,India,Delhi,Paints,Manufacturing,India,,TRUE,D,M,9/2/1947 0:00,Dhingra,Kuldip Singh,,4/4/2023 5:01,,,1947,9,2,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +949,3100,Finance & Investments,Martin Ebner,77,Switzerland,Wilen,Investments,Finance & Investments,Switzerland,,TRUE,D,M,8/1/1945 0:00,Ebner,Martin,,4/4/2023 5:01,,,1945,8,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +949,3100,Manufacturing,Charles Edelstenne,85,France,Paris,Aviation,Manufacturing,France,,TRUE,D,M,1/3/1938 0:00,Edelstenne,Charles,,4/4/2023 5:01,,,1938,1,3,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +949,3100,Real Estate,Sergei Gordeev,50,Russia,Moscow,Real estate,Real Estate,Russia,,TRUE,U,M,11/22/1972 0:00,Gordeev,Sergei,,4/4/2023 5:01,,,1972,11,22,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +949,3100,Media & Entertainment,Jeff T. Green,46,United States,Newbury Park,Digital advertising,Media & Entertainment,United States,,TRUE,D,M,3/30/1977 0:00,Green,Jeff T.,,4/4/2023 5:01,California,West,1977,3,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +949,3100,Technology,Reed Hastings,62,United States,Santa Cruz,Netflix,Technology,United States,Netflix,TRUE,D,M,10/8/1960 0:00,Hastings,Reed,CEO,4/4/2023 5:01,California,West,1960,10,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +949,3100,Service,Bertil Hult,82,Switzerland,Lucerne,Education,Service,Sweden,,TRUE,D,M,2/10/1941 0:00,Hult,Bertil,,4/4/2023 5:01,,,1941,2,10,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +949,3100,Fashion & Retail,Miguel Krigsner,73,Brazil,Sao Jose dos Pinhais,Cosmetics,Fashion & Retail,Brazil,,TRUE,D,M,1/9/1950 0:00,Krigsner,Miguel,,4/4/2023 5:01,,,1950,1,9,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +949,3100,Manufacturing,Kuok Khoon Hong,73,Singapore,Singapore,Palm oil,Manufacturing,Singapore,,FALSE,D,M,1/1/1950 0:00,Kuok,Khoon Hong,,4/4/2023 5:01,,,1950,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +949,3100,Fashion & Retail,Aerin Lauder,52,United States,New York,Estee Lauder,Fashion & Retail,United States,,FALSE,D,F,4/23/1970 0:00,Lauder,Aerin,,4/4/2023 5:01,New York,Northeast,1970,4,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +949,3100,Food & Beverage,Sheldon Lavin,90,United States,Highland Park,Meat processing,Food & Beverage,United States,,TRUE,U,M,6/17/1932 0:00,Lavin,Sheldon,,4/4/2023 5:01,Illinois,,1932,6,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +949,3100,Manufacturing,Yin Yee Lee,71,Hong Kong,Hong Kong,Glass,Manufacturing,China,,TRUE,D,M,1/1/1952 0:00,Lee,Yin Yee,,4/4/2023 5:01,,,1952,1,1,,,,,,,,,,, +949,3100,Manufacturing,Vladimir Litvinenko & family,67,Russia,Saint Petersburg,Chemical industry,Manufacturing,Russia,,TRUE,R,M,8/14/1955 0:00,Litvinenko,Vladimir,,4/4/2023 5:01,,,1955,8,14,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +949,3100,Metals & Mining,Daniel Mate,59,Switzerland,Kanton Schwyz,"Mining, commodities",Metals & Mining,Spain,,TRUE,D,M,6/2/1963 0:00,Mate,Daniel,,4/4/2023 5:01,,,1963,6,2,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +949,3100,Fashion & Retail,Ravi Modi,46,India,Kolkata,Readymade garments,Fashion & Retail,India,,TRUE,U,M,3/13/1977 0:00,Modi,Ravi,,4/4/2023 5:01,,,1977,3,13,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +949,3100,Diversified,Farhad Moshiri,67,Monaco,Monaco,Diversified,Diversified,United Kingdom,,TRUE,U,M,5/18/1955 0:00,Moshiri,Farhad,,4/4/2023 5:01,,,1955,5,18,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +949,3100,Finance & Investments,Jonathan Nelson,66,United States,Providence,Private equity,Finance & Investments,United States,Providence Equity Partners,TRUE,U,M,5/18/1956 0:00,Nelson,Jonathan,Executive Chairman ,4/4/2023 5:01,Rhode Island,Northeast,1956,5,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +949,3100,Real Estate,Or Wai Sheun,71,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,TRUE,D,M,6/1/1951 0:00,Or,Wai Sheun,,4/4/2023 5:01,,,1951,6,1,,,,,,,,,,, +949,3100,Real Estate,Katharina Otto-Bernstein,59,United States,New York,Real estate,Real Estate,Germany,,FALSE,D,F,1/1/1964 0:00,Otto-Bernstein,Katharina,,4/4/2023 5:01,New York,Northeast,1964,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +949,3100,Finance & Investments,Sergei Popov,51,Switzerland,,Banking,Finance & Investments,Russia,,TRUE,E,M,8/12/1971 0:00,Popov,Sergei,,4/4/2023 5:01,,,1971,8,12,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +949,3100,Finance & Investments,Penny Pritzker,63,United States,Chicago,"Hotels, investments",Finance & Investments,United States,Inspired Capital,FALSE,D,F,5/2/1959 0:00,Pritzker,Penny,Cofounder,4/4/2023 5:01,Illinois,Midwest,1959,5,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +949,3100,Diversified,Theodore Rachmat,79,Indonesia,Jakarta,Diversified,Diversified,Indonesia,,FALSE,D,M,12/15/1943 0:00,Rachmat,Theodore,,4/4/2023 5:01,,,1943,12,15,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +949,3100,Fashion & Retail,Renzo Rosso & family,67,Italy,Bassano del Grappa,Fashion,Fashion & Retail,Italy,,TRUE,D,M,9/15/1955 0:00,Rosso,Renzo,,4/4/2023 5:01,,,1955,9,15,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +949,3100,Media & Entertainment,Friede Springer,80,Germany,Berlin,Publishing,Media & Entertainment,Germany,,FALSE,D,F,8/15/1942 0:00,Springer,Friede,,4/4/2023 5:01,,,1942,8,15,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +949,3100,Real Estate,Rita Tong Liu,74,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,TRUE,D,F,6/29/1948 0:00,Tong Liu,Rita,,4/4/2023 5:01,,,1948,6,29,,,,,,,,,,, +949,3100,Finance & Investments,Timur Turlov,35,Kazakhstan,Almaty,Stock brokerage,Finance & Investments,Kazakhstan,,TRUE,U,M,11/13/1987 0:00,Turlov,Timur,,4/4/2023 5:01,,,1987,11,13,182.75,5.2,"$180,161,741,180 ",61.7,104.4,73.2,11.7,28.4,18513930,48.019573,66.923684 +949,3100,Fashion & Retail,Frank VanderSloot,74,United States,Idaho Falls,"Nutrition, wellness products",Fashion & Retail,United States,,TRUE,U,M,8/14/1948 0:00,VanderSloot,Frank,,4/4/2023 5:01,Idaho,West,1948,8,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +949,3100,Media & Entertainment,Yoo Jung-hyun,53,South Korea,Jeju-do,Online games,Media & Entertainment,South Korea,,TRUE,U,F,4/16/1969 0:00,Yoo,Jung-hyun,,4/4/2023 5:01,,,1969,4,16,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +982,3000,Diversified,Abdulla bin Ahmad Al Ghurair & family,,United Arab Emirates,Dubai,Diversified,Diversified,United Arab Emirates,,FALSE,U,M,,Al Ghurair,Abdulla bin Ahmad,Athlete,4/4/2023 5:01,,,,,,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +982,3000,Diversified,Semahat Sevim Arsel,94,Turkey,Istanbul,Diversified,Diversified,Turkey,,FALSE,U,F,9/8/1928 0:00,Arsel,Semahat Sevim,,4/4/2023 5:01,,,1928,9,8,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +982,3000,Real Estate,Nicolas Berggruen,61,United States,Beverly Hills,"Real estate, investments",Real Estate,United States,,FALSE,U,M,8/10/1961 0:00,Berggruen,Nicolas,,4/4/2023 5:01,California,West,1961,8,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +982,3000,Energy,George Bishop,85,United States,The Woodlands,Oil & gas,Energy,United States,,TRUE,U,M,10/6/1937 0:00,Bishop,George,,4/4/2023 5:01,Texas,South,1937,10,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +982,3000,Automotive,Norman Braman,90,United States,Miami,"Art, car dealerships",Automotive,United States,,TRUE,U,M,8/22/1932 0:00,Braman,Norman,,4/4/2023 5:01,Florida,South,1932,8,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +982,3000,Technology,Eva Maria Bucher-Haefner,66,Switzerland,Zurich,"Software, investments",Technology,Switzerland,,FALSE,E,F,1/1/1957 0:00,Bucher-Haefner,Eva Maria,,4/4/2023 5:01,,,1957,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +982,3000,Healthcare,Cai Dongchen,70,China,Luancheng,Pharmaceuticals,Healthcare,China,,TRUE,D,M,2/1/1953 0:00,Cai,Dongchen,,4/4/2023 5:01,,,1953,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +982,3000,Food & Beverage,Jean-Pierre Cayard,80,France,Paris,Spirits,Food & Beverage,France,,FALSE,U,M,1/1/1943 0:00,Cayard,Jean-Pierre,,4/4/2023 5:01,,,1943,1,1,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +982,3000,Real Estate,Chan Tan Ching-fen,,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,D,F,,Chan,Tan Ching-fen,,4/4/2023 5:01,,,,,,,,,,,,,,,, +982,3000,Fashion & Retail,Todd Christopher,60,United States,Clearwater,Hair care products,Fashion & Retail,United States,,TRUE,E,M,10/8/1962 0:00,Christopher,Todd,,4/4/2023 5:01,Florida,South,1962,10,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +982,3000,Real Estate,Mang Yee Chu & family,63,China,Guangzhou,Real estate,Real Estate,China,,TRUE,D,M,1/1/1960 0:00,Chu,Mang Yee,,4/4/2023 5:01,,,1960,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +982,3000,Finance & Investments,"William Conway, Jr.",73,United States,McLean,Private equity,Finance & Investments,United States,Carlyle Group,TRUE,D,M,8/27/1949 0:00,Conway,William,Co-Chief Executive Officer and Co-founder,4/4/2023 5:01,Virginia,South,1949,8,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +982,3000,Fashion & Retail,Jean Coutu & family,95,Canada,Montreal,Drugstores,Fashion & Retail,Canada,Jean Coutu Group (PJC) Inc. (Cl A),TRUE,D,M,5/29/1927 0:00,Coutu,Jean,Chairman,4/4/2023 5:01,,,1927,5,29,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +982,3000,Automotive,Catheline Perier D'Ieteren,78,,,"Auto parts, distribution",Automotive,Belgium,,FALSE,N,F,7/5/1944 0:00,D'Ieteren,Catheline Perier,,4/4/2023 5:01,,,1944,7,5,,,,,,,,,,, +982,3000,Real Estate,"Edward DeBartolo, Jr.",76,United States,Tampa,Shopping centers,Real Estate,United States,,FALSE,U,M,11/6/1946 0:00,DeBartolo,Edward,,4/4/2023 5:01,Florida,South,1946,11,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +982,3000,Finance & Investments,Stephen Deckoff,57,United States,St. John,Private equity,Finance & Investments,United States,,TRUE,N,M,11/4/1965 0:00,Deckoff,Stephen,,4/4/2023 5:01,U.S. Virgin Islands,U.S. Territories,1965,11,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +982,3000,Metals & Mining,Feng Hailiang,62,China,Zhuji,"Copper, education",Metals & Mining,China,,TRUE,U,M,10/1/1960 0:00,Feng,Hailiang,,4/4/2023 5:01,,,1960,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +982,3000,Automotive,"Ernest Garcia, II.",65,United States,Tempe,Used cars,Automotive,United States,,TRUE,D,M,5/21/1957 0:00,Garcia,Ernest,,4/4/2023 5:01,Arizona,West,1957,5,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +982,3000,Food & Beverage,Sam Goi,76,Singapore,Singapore,Frozen foods,Food & Beverage,Singapore,,TRUE,U,M,12/28/1946 0:00,Goi,Sam,,4/4/2023 5:01,,,1946,12,28,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +982,3000,Diversified,Carlos Hank Rhon,75,Mexico,Mexico City,Banking,Diversified,Mexico,,FALSE,U,M,12/10/1947 0:00,Hank Rhon,Carlos,,4/4/2023 5:01,,,1947,12,10,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +982,3000,Manufacturing,Susan Carol Holland,66,Italy,Milan,Hearing aids,Manufacturing,Italy,,FALSE,D,F,5/27/1956 0:00,Holland,Susan Carol,,4/4/2023 5:01,,,1956,5,27,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +982,3000,Real Estate,Hui Ka Yan,64,China,Shenzhen,Real estate,Real Estate,China,,TRUE,D,M,10/1/1958 0:00,Hui,Ka Yan,,4/4/2023 5:01,,,1958,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +982,3000,Manufacturing,Vivek Jain,67,India,Delhi,Chemicals,Manufacturing,India,,FALSE,U,M,8/30/1955 0:00,Jain,Vivek,,4/4/2023 5:01,,,1955,8,30,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +982,3000,Fashion & Retail,Friedrich Knapp,71,Germany,Brunswick,Fashion retail,Fashion & Retail,Germany,,TRUE,D,M,5/6/1951 0:00,Knapp,Friedrich,,4/4/2023 5:01,,,1951,5,6,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +982,3000,Healthcare,Egor Kulkov,51,Switzerland,Grimisuat,Pharmaceuticals,Healthcare,Russia,,TRUE,U,M,12/7/1971 0:00,Kulkov,Egor,,4/4/2023 5:01,,,1971,12,7,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +982,3000,Fashion & Retail,Lin Ming-hsiung,73,Taiwan,Taipei,Supermarkets,Fashion & Retail,Taiwan,,TRUE,D,M,1/1/1950 0:00,Lin,Ming-hsiung,,4/4/2023 5:01,,,1950,1,1,,,,,,,,,,, +982,3000,Technology,Lin Xiucheng & family,67,China,Xiamen,Electronics,Technology,China,,TRUE,D,M,10/10/1955 0:00,Lin,Xiucheng,,4/4/2023 5:01,,,1955,10,10,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +982,3000,Food & Beverage,Harsh Mariwala,71,India,Mumbai,Consumer goods,Food & Beverage,India,,FALSE,D,M,5/14/1951 0:00,Mariwala,Harsh,,4/4/2023 5:01,,,1951,5,14,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +982,3000,Healthcare,Gilles Martin,59,France,Nantes,Laboratory services,Healthcare,France,,TRUE,D,M,10/20/1963 0:00,Martin,Gilles,,4/4/2023 5:01,,,1963,10,20,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +982,3000,Healthcare,Maja Oeri,68,Switzerland,Basel,Pharmaceuticals,Healthcare,Switzerland,,FALSE,D,F,1/1/1955 0:00,Oeri,Maja,,4/4/2023 5:01,,,1955,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +982,3000,Finance & Investments,John Paulson,67,United States,New York,Hedge funds,Finance & Investments,United States,Paulson & Co. Inc.,TRUE,D,M,12/14/1955 0:00,Paulson,John,Founder,4/4/2023 5:01,New York,Northeast,1955,12,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +982,3000,Healthcare,Ajay Piramal,67,India,Mumbai,Pharmaceuticals,Healthcare,India,,FALSE,D,M,8/3/1955 0:00,Piramal,Ajay,,4/4/2023 5:01,,,1955,8,3,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +982,3000,Fashion & Retail,Guanghe Qiu & family,71,China,Wenzhou,Fashion retail,Fashion & Retail,China,,TRUE,D,M,11/10/1951 0:00,Qiu,Guanghe,,4/4/2023 5:01,,,1951,11,10,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +982,3000,Fashion & Retail,Stephen Rubin,86,United Kingdom,London,Sports apparel,Fashion & Retail,United Kingdom,,FALSE,R,M,3/12/1937 0:00,Rubin,Stephen,,4/4/2023 5:01,,,1937,3,12,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +982,3000,Food & Beverage,Robert Sands,64,United States,Delray Beach,Liquor,Food & Beverage,United States,,FALSE,Split Family Fortune,M,6/10/1958 0:00,Sands,Robert,,4/4/2023 5:01,Florida,South,1958,6,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +982,3000,Real Estate,Erik Selin,55,Sweden,Göteborg,Real estate,Real Estate,Sweden,,TRUE,D,M,5/8/1967 0:00,Selin,Erik,,4/4/2023 5:01,,,1967,5,8,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +982,3000,Food & Beverage,Yonghong Shi & family,54,China,Chengdu,Restaurants,Food & Beverage,China,,TRUE,D,M,1/1/1969 0:00,Shi,Yonghong,,4/4/2023 5:01,,,1969,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +982,3000,Manufacturing,Martua Sitorus,63,Singapore,Singapore,Palm oil,Manufacturing,Indonesia,,TRUE,U,M,2/18/1960 0:00,Sitorus,Martua,,4/4/2023 5:01,,,1960,2,18,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +982,3000,Diversified,Guangxin Sun,60,China,Urumqi,Diversified,Diversified,China,,TRUE,U,M,12/1/1962 0:00,Sun,Guangxin,,4/4/2023 5:01,,,1962,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +982,3000,Diversified,Sukanto Tanoto,73,Singapore,Singapore,Diversified,Diversified,Indonesia,,TRUE,U,M,12/25/1949 0:00,Tanoto,Sukanto,,4/4/2023 5:01,,,1949,12,25,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +982,3000,Service,Sunny Varkey,65,United Arab Emirates,Dubai,Education,Service,India,,FALSE,U,M,4/9/1957 0:00,Varkey,Sunny,,4/4/2023 5:01,,,1957,4,9,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +982,3000,Media & Entertainment,Gang Ye,42,Singapore,Singapore,Gaming,Media & Entertainment,Singapore,,TRUE,D,M,6/1/1980 0:00,Ye,Gang,,4/4/2023 5:01,,,1980,6,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +982,3000,Healthcare,Ye Xiaoping,60,China,Hangzhou,Pharmaceuticals,Healthcare,China,,TRUE,U,M,2/1/1963 0:00,Ye,Xiaoping,,4/4/2023 5:01,,,1963,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +982,3000,Finance & Investments,Lei Zhang,50,Hong Kong,Hong Kong,Investments,Finance & Investments,China,,TRUE,E,M,12/1/1972 0:00,Zhang,Lei,,4/4/2023 5:01,,,1972,12,1,,,,,,,,,,, +982,3000,Manufacturing,Zhu Gongshan & family,65,China,Shanghai,Solar panel materials,Manufacturing,China,,TRUE,D,M,1/1/1958 0:00,Zhu,Gongshan,,4/4/2023 5:01,,,1958,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1027,2900,Fashion & Retail,Isak Andic & family,69,Spain,Barcelona,Fashion retail,Fashion & Retail,Spain,,TRUE,U,M,10/20/1953 0:00,Andic,Isak,,4/4/2023 5:01,,,1953,10,20,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1027,2900,Automotive,Alberto Bombassei,82,Italy,Bergamo,Automotive brakes,Automotive,Italy,,FALSE,U,M,10/5/1940 0:00,Bombassei,Alberto,,4/4/2023 5:01,,,1940,10,5,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1027,2900,Healthcare,Cao Longxiang & family,65,China,Taixing,Pharmaceuticals,Healthcare,China,,TRUE,E,M,9/5/1957 0:00,Cao,Longxiang,,4/4/2023 5:01,,,1957,9,5,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1027,2900,Real Estate,"Roy Carroll, II.",60,United States,Greensboro,Real estate,Real Estate,United States,,TRUE,N,M,11/1/1962 0:00,Carroll,Roy,,4/4/2023 5:01,North Carolina,South,1962,11,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1027,2900,Telecom,John Caudwell,70,United Kingdom,Stoke-on-Trent,Mobile phones,Telecom,United Kingdom,,TRUE,D,M,10/1/1952 0:00,Caudwell,John,,4/4/2023 5:01,,,1952,10,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1027,2900,Technology,James Clark,79,United States,Palm Beach,"Netscape, investments",Technology,United States,Netscape Communications Corporation,TRUE,D,M,3/23/1944 0:00,Clark,James,Cofounder,4/4/2023 5:01,Florida,South,1944,3,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1027,2900,Fashion & Retail,Jacques D'Amours,66,Canada,Montreal,Convenience stores,Fashion & Retail,Canada,Alimentation Couche Tard Inc. Cl A,TRUE,U,M,12/8/1956 0:00,D'Amours,Jacques,Vice President and Cofounder,4/4/2023 5:01,,,1956,12,8,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1027,2900,Fashion & Retail,John Paul DeJoria,78,United States,Austin,"Hair products, tequila",Fashion & Retail,United States,,TRUE,U,M,4/13/1944 0:00,DeJoria,John Paul,,4/4/2023 5:01,Texas,South,1944,4,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1027,2900,Sports,Bernard Ecclestone & family,92,United Kingdom,London,Formula One,Sports,United Kingdom,,TRUE,D,M,10/28/1930 0:00,Ecclestone,Bernard,,4/4/2023 5:01,,,1930,10,28,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1027,2900,Technology,Michael Federmann & family,79,Israel,Tel Aviv,"Defense, hotels",Technology,Israel,,TRUE,D,M,9/9/1943 0:00,Federmann,Michael,,4/4/2023 5:01,,,1943,9,9,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +1027,2900,Media & Entertainment,Kenneth Feld & family,74,United States,Sarasota,Live entertainment,Media & Entertainment,United States,Feld Entertainment,FALSE,U,M,10/31/1948 0:00,Feld,Kenneth,Chairman,4/4/2023 5:01,Florida,South,1948,10,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1027,2900,Manufacturing,Gu Yuhua & family,73,China,Hangzhou,Furniture,Manufacturing,China,,TRUE,D,M,10/5/1949 0:00,Gu,Yuhua,,4/4/2023 5:01,,,1949,10,5,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1027,2900,Construction & Engineering,Otto Happel,75,Switzerland,Luzerne,Engineering,Construction & Engineering,Germany,,FALSE,D,M,2/9/1948 0:00,Happel,Otto,,4/4/2023 5:01,,,1948,2,9,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1027,2900,Healthcare,Gudrun Heine,68,Germany,Ohningen,Medical devices,Healthcare,Germany,,FALSE,D,F,10/19/1954 0:00,Heine,Gudrun,,4/4/2023 5:01,,,1954,10,19,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1027,2900,Real Estate,Donald Horton & family,73,United States,Fort Worth,Homebuilding,Real Estate,United States,,TRUE,U,M,3/5/1950 0:00,Horton,Donald,,4/4/2023 5:01,Texas,South,1950,3,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1027,2900,Real Estate,Zarakh Iliev,56,Russia,Moscow,Real estate,Real Estate,Russia,,TRUE,U,M,9/9/1966 0:00,Iliev,Zarakh,,4/4/2023 5:01,,,1966,9,9,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1027,2900,Diversified,Ipek Kirac,38,Turkey,Istanbul,Diversified,Diversified,Turkey,,FALSE,U,F,11/28/1984 0:00,Kirac,Ipek,,4/4/2023 5:01,,,1984,11,28,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1027,2900,Technology,Lee Seo-hyun,49,South Korea,Seoul,Samsung,Technology,South Korea,,FALSE,D,F,9/20/1973 0:00,Lee,Seo-hyun,,4/4/2023 5:01,,,1973,9,20,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +1027,2900,Healthcare,Li Jianquan & family,66,China,Shenzhen,Consumer products,Healthcare,Hong Kong,,TRUE,D,M,1/1/1957 0:00,Li,Jianquan,,4/4/2023 5:01,,,1957,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1027,2900,Healthcare,Li Li,57,China,Changsha,Healthcare,Healthcare,China,,TRUE,U,M,9/1/1965 0:00,Li,Li,,4/4/2023 5:01,,,1965,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1027,2900,Manufacturing,Li Xiaohua & family,61,China,Yuxi,Packaging,Manufacturing,China,,TRUE,D,M,1/1/1962 0:00,Li,Xiaohua,,4/4/2023 5:01,,,1962,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1027,2900,Manufacturing,Liu Xiaodong,55,China,Shanghai,Flavorings,Manufacturing,China,,TRUE,U,M,7/3/1967 0:00,Liu,Xiaodong,,4/4/2023 5:01,,,1967,7,3,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1027,2900,Technology,Martin Lorentzon,54,Sweden,Stockholm,Spotify,Technology,Sweden,,TRUE,E,M,4/1/1969 0:00,Lorentzon,Martin,,4/4/2023 5:01,,,1969,4,1,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1027,2900,Energy,Ronald McAulay,87,Hong Kong,Hong Kong,Energy,Energy,Hong Kong,,FALSE,D,M,10/5/1935 0:00,McAulay,Ronald,,4/4/2023 5:01,,,1935,10,5,,,,,,,,,,, +1027,2900,Fashion & Retail,Erwin Franz Mueller,90,Germany,Ulm,Drugstores,Fashion & Retail,Germany,,TRUE,U,M,8/9/1932 0:00,Mueller,Erwin Franz,,4/4/2023 5:01,,,1932,8,9,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1027,2900,Technology,Georg Nemetschek & family,89,Germany,Munich,Software,Technology,Germany,,TRUE,D,M,1/1/1934 0:00,Nemetschek,Georg,,4/4/2023 5:01,,,1934,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1027,2900,Real Estate,God Nisanov,50,Russia,Moscow,Real estate,Real Estate,Russia,,TRUE,U,M,4/24/1972 0:00,Nisanov,God,,4/4/2023 5:01,,,1972,4,24,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1027,2900,Real Estate,Vikas Oberoi,52,India,Mumbai,Real estate,Real Estate,India,,FALSE,D,M,9/8/1970 0:00,Oberoi,Vikas,,4/4/2023 5:01,,,1970,9,8,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1027,2900,Energy,Gregorio Perez Companc & family,87,Argentina,Buenos Aires,Oil & gas,Energy,Argentina,,TRUE,U,M,8/23/1935 0:00,Perez Companc,Gregorio,,4/4/2023 5:01,,,1935,8,23,232.75,53.5,"$449,663,446,954 ",90,109.7,76.5,10.1,106.3,44938712,-38.416097,-63.616672 +1027,2900,Finance & Investments,Sebastian Piñera & family,73,Chile,Santiago,Investments,Finance & Investments,Chile,Chile,TRUE,U,M,12/1/1949 0:00,Piñera,Sebastian,President,4/4/2023 5:01,,,1949,12,1,131.91,2.6,"$282,318,159,745 ",88.5,101.4,80,18.2,34,18952038,-35.675147,-71.542969 +1027,2900,Automotive,Arvind Poddar,65,India,Mumbai,Tires,Automotive,India,,FALSE,D,M,11/7/1957 0:00,Poddar,Arvind,,4/4/2023 5:01,,,1957,11,7,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1027,2900,Healthcare,Alexey Repik,43,Russia,Moscow,Pharmaceuticals,Healthcare,Russia,,TRUE,U,M,8/27/1979 0:00,Repik,Alexey,,4/4/2023 5:01,,,1979,8,27,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1027,2900,Media & Entertainment,Haim Saban,78,United States,Beverly Hills,"TV network, investments",Media & Entertainment,United States,,TRUE,D,M,10/15/1944 0:00,Saban,Haim,,4/4/2023 5:01,California,West,1944,10,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1027,2900,Food & Beverage,Rodney Sacks,73,United States,Laguna Beach,Energy drinks,Food & Beverage,United States,Monster Beverage,TRUE,U,M,12/24/1949 0:00,Sacks,Rodney,CEO,4/4/2023 5:01,California,West,1949,12,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1027,2900,Finance & Investments,Karthik Sarma,48,United States,New York,Hedge fund,Finance & Investments,India,,TRUE,D,M,12/1/1974 0:00,Sarma,Karthik,,4/4/2023 5:01,New York,Northeast,1974,12,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1027,2900,Healthcare,Sybill Storz,85,Germany,Leipzig,Medical devices,Healthcare,Germany,,FALSE,D,F,4/6/1937 0:00,Storz,Sybill,,4/4/2023 5:01,,,1937,4,6,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1027,2900,Finance & Investments,Daniel Sundheim,46,United States,New York,Hedge funds,Finance & Investments,United States,,TRUE,D,M,3/29/1977 0:00,Sundheim,Daniel,Investor,4/4/2023 5:01,New York,Northeast,1977,3,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1027,2900,Food & Beverage,"William Wrigley, Jr.",59,United States,North Palm Beach,Chewing gum,Food & Beverage,United States,"Wrigley Management, Inc.",FALSE,D,M,11/1/1963 0:00,Wrigley,William,Investor,4/4/2023 5:01,Florida,South,1963,11,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1027,2900,Fashion & Retail,Zhang Wenzhong,61,China,Beijing,Supermarkets,Fashion & Retail,China,,TRUE,D,M,1/1/1962 0:00,Zhang,Wenzhong,,4/4/2023 5:01,,,1962,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1027,2900,Fashion & Retail,Zhou Jianping,62,China,Jiangyin,Fashion retail,Fashion & Retail,China,,TRUE,E,M,5/28/1960 0:00,Zhou,Jianping,,4/4/2023 5:01,,,1960,5,28,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1067,2800,Fashion & Retail,Joy Alukkas,66,India,Cochin,Jewelry,Fashion & Retail,India,,FALSE,U,M,9/4/1956 0:00,Alukkas,Joy,,4/4/2023 5:01,,,1956,9,4,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1067,2800,Healthcare,Kang An,74,China,Xinxiang,Pharmaceuticals,Healthcare,China,,TRUE,D,M,1/1/1949 0:00,An,Kang,,4/4/2023 5:01,,,1949,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1067,2800,Technology,Garrett Camp,44,United States,San Francisco,Uber,Technology,Canada,Uber Technologies Inc.,TRUE,E,M,10/4/1978 0:00,Camp,Garrett,Cofounder and Chairman,4/4/2023 5:01,California,West,1978,10,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1067,2800,Gambling & Casinos,Chen Lip Keong,75,Cambodia,Phnom Penh,"Casinos, property, energy",Gambling & Casinos,Malaysia,,TRUE,U,M,7/1/1947 0:00,Chen,Lip Keong,,4/4/2023 5:01,,,1947,7,1,127.63,2.5,"$27,089,389,787 ",13.7,107.4,69.6,17.1,23.1,16486542,12.565679,104.990963 +1067,2800,Real Estate,Choo Chong Ngen,69,Singapore,Singapore,Hotels,Real Estate,Singapore,,TRUE,U,M,4/21/1953 0:00,Choo,Chong Ngen,,4/4/2023 5:01,,,1953,4,21,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1067,2800,Automotive,Euisun Chung,52,South Korea,Seoul,Hyundai,Automotive,South Korea,Hyundai Motor Co. Ltd.,FALSE,D,M,10/18/1970 0:00,Chung,Euisun,,4/4/2023 5:01,,,1970,10,18,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +1067,2800,Diversified,Smita Crishna-Godrej,72,India,Mumbai,Consumer goods,Diversified,India,,FALSE,U,F,12/30/1950 0:00,Crishna-Godrej,Smita,,4/4/2023 5:01,,,1950,12,30,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1067,2800,Fashion & Retail,Eleanor Butt Crook & family,90,United States,San Marcos,Supermarkets,Fashion & Retail,United States,,FALSE,N,F,7/21/1932 0:00,Crook,Eleanor Butt,,4/4/2023 5:01,Texas,South,1932,7,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1067,2800,Manufacturing,Du Jiangtao & family,53,China,Beijing,Chemicals,Manufacturing,China,,TRUE,D,M,11/17/1969 0:00,Du,Jiangtao,,4/4/2023 5:01,,,1969,11,17,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1067,2800,Sports,Lorenzo Fertitta,54,United States,Las Vegas,"Casinos, mixed martial arts",Sports,United States,,FALSE,U,M,1/3/1969 0:00,Fertitta,Lorenzo,,4/4/2023 5:01,Nevada,West,1969,1,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1067,2800,Technology,Sebastian Glaser,,Germany,Munich,Sensor technology,Technology,Germany,,FALSE,U,M,,Glaser,Sebastian,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1067,2800,Diversified,Adi Godrej,81,India,Mumbai,Consumer goods,Diversified,India,,FALSE,U,M,4/3/1942 0:00,Godrej,Adi,,4/4/2023 5:01,,,1942,4,3,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1067,2800,Diversified,Jamshyd Godrej,74,India,Mumbai,Diversified,Diversified,India,,FALSE,U,M,1/24/1949 0:00,Godrej,Jamshyd,,4/4/2023 5:01,,,1949,1,24,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1067,2800,Real Estate,Lee Yeow Chor,56,Malaysia,,"Palm oil, property",Real Estate,Malaysia,,FALSE,Split Family Fortune,M,1/1/1967 0:00,Lee,Yeow Chor,,4/4/2023 5:01,,,1967,1,1,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +1067,2800,Manufacturing,Li Weiguo,58,China,Beijing,Construction materials,Manufacturing,China,,TRUE,D,M,1/1/1965 0:00,Li,Weiguo,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1067,2800,Manufacturing,Dmitry Mazepin,54,Russia,Moscow,Chemicals,Manufacturing,Russia,,TRUE,R,M,4/18/1968 0:00,Mazepin,Dmitry,,4/4/2023 5:01,,,1968,4,18,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1067,2800,Fashion & Retail,"Drayton McLane, Jr.",86,United States,Temple,"Walmart, logistics",Fashion & Retail,United States,,FALSE,D,M,7/22/1936 0:00,McLane,Drayton,,4/4/2023 5:01,Texas,South,1936,7,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1067,2800,Telecom,Najib Mikati,67,Lebanon,Beirut,Telecom,Telecom,Lebanon,,TRUE,D,M,11/24/1955 0:00,Mikati,Najib,,4/4/2023 5:01,,,1955,11,24,130.02,3,"$53,367,042,272 ",26.3,95.1,78.9,15.3,32.2,6855713,33.854721,35.862285 +1067,2800,Telecom,Taha Mikati,78,Lebanon,Beirut,Telecom,Telecom,Lebanon,,TRUE,D,M,1/1/1945 0:00,Mikati,Taha,,4/4/2023 5:01,,,1945,1,1,130.02,3,"$53,367,042,272 ",26.3,95.1,78.9,15.3,32.2,6855713,33.854721,35.862285 +1067,2800,Real Estate,Akira Mori & family,86,Japan,Tokyo,Real estate,Real Estate,Japan,,FALSE,D,M,7/12/1936 0:00,Mori,Akira,,4/4/2023 5:01,,,1936,7,12,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1067,2800,Diversified,Rishad Naoroji,71,India,Mumbai,Consumer goods,Diversified,India,,FALSE,U,M,8/30/1951 0:00,Naoroji,Rishad,,4/4/2023 5:01,,,1951,8,30,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1067,2800,Diversified,Philip Niarchos,69,France,Paris,Art collection,Diversified,Greece,,FALSE,E,M,1/1/1954 0:00,Niarchos,Philip,,4/4/2023 5:01,,,1954,1,1,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +1067,2800,Technology,Nandan Nilekani,67,India,Bangalore,Software services,Technology,India,,TRUE,D,M,6/2/1955 0:00,Nilekani,Nandan,,4/4/2023 5:01,,,1955,6,2,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1067,2800,Fashion & Retail,Benjamin Otto,,Germany,Hamburg,Retail,Fashion & Retail,Germany,,FALSE,D,M,,Otto,Benjamin,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1067,2800,Diversified,Maren Otto,,Germany,Berlin,"Retail, real estate",Diversified,Germany,,FALSE,D,F,,Otto,Maren,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1067,2800,Service,Ranjan Pai,50,India,Bangalore,Education,Service,India,,FALSE,U,M,11/11/1972 0:00,Pai,Ranjan,,4/4/2023 5:01,,,1972,11,11,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1067,2800,Manufacturing,Madhukar Parekh,76,India,Mumbai,Adhesives,Manufacturing,India,,FALSE,D,M,1/1/1947 0:00,Parekh,Madhukar,,4/4/2023 5:01,,,1947,1,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1067,2800,Technology,Sean Parker,43,United States,Los Angeles,Facebook,Technology,United States,,TRUE,E,M,12/3/1979 0:00,Parker,Sean,,4/4/2023 5:01,California,West,1979,12,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1067,2800,Healthcare,Stewart Rahr,77,United States,New York,Drug distribution,Healthcare,United States,,FALSE,U,M,2/18/1946 0:00,Rahr,Stewart,,4/4/2023 5:01,New York,Northeast,1946,2,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1067,2800,Media & Entertainment,Su Hua,41,China,Beijing,Video streaming,Media & Entertainment,China,,TRUE,D,M,1/1/1982 0:00,Su,Hua,,4/4/2023 5:01,,,1982,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1067,2800,Manufacturing,Sun Shoukuan,73,China,Yingkou,"Metals, coal",Manufacturing,China,,TRUE,E,M,10/1/1949 0:00,Sun,Shoukuan,,4/4/2023 5:01,,,1949,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1067,2800,Manufacturing,Tseng Cheng,61,Taiwan,,Petrochemicals,Manufacturing,Taiwan,,FALSE,U,M,12/1/1961 0:00,Tseng,Cheng,,4/4/2023 5:01,,,1961,12,1,,,,,,,,,,, +1067,2800,Logistics,Tung Chee Hwa,85,Hong Kong,Hong Kong,Shipping,Logistics,Hong Kong,,FALSE,E,M,7/7/1937 0:00,Tung,Chee Hwa,,4/4/2023 5:01,,,1937,7,7,,,,,,,,,,, +1067,2800,Technology,Meg Whitman,66,United States,Los Angeles,EBay,Technology,United States,Quibi,TRUE,D,F,8/4/1956 0:00,Whitman,Meg,CEO,4/4/2023 5:01,California,West,1956,8,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1067,2800,Manufacturing,Wong Luen Hei,61,Hong Kong,Hong Kong,Building materials,Manufacturing,China,,TRUE,D,M,1/1/1962 0:00,Wong,Luen Hei,,4/4/2023 5:01,,,1962,1,1,,,,,,,,,,, +1067,2800,Healthcare,Chenghai Ye & family,79,Hong Kong,Hong Kong,Pharmaceuticals,Healthcare,Hong Kong,,TRUE,D,M,8/15/1943 0:00,Ye,Chenghai,,4/4/2023 5:01,,,1943,8,15,,,,,,,,,,, +1067,2800,Manufacturing,Zhu Xingming,56,China,Shenzhen,Electrical equipment,Manufacturing,China,,TRUE,U,M,3/1/1967 0:00,Zhu,Xingming,,4/4/2023 5:01,,,1967,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1104,2700,Finance & Investments,Jose Joao Abdalla Filho,77,Brazil,Rio de Janeiro,Investments,Finance & Investments,Brazil,,FALSE,D,M,5/30/1945 0:00,Abdalla Filho,Jose Joao,,4/4/2023 5:01,,,1945,5,30,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1104,2700,Finance & Investments,Juan Abello,81,Spain,Madrid,Investments,Finance & Investments,Spain,,FALSE,D,M,12/16/1941 0:00,Abello,Juan,,4/4/2023 5:01,,,1941,12,16,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1104,2700,Diversified,Suhail Bahwan,84,Oman,Muscat,Diversified,Diversified,Oman,,TRUE,U,M,1/1/1939 0:00,Bahwan,Suhail,,4/4/2023 5:01,,,1939,1,1,113.53,0.1,"$76,983,094,928 ",38,103.4,77.6,2.5,27.4,5266535,21.4735329,55.975413 +1104,2700,Diversified,Madhur Bajaj,70,India,Mumbai,Diversified,Diversified,India,,FALSE,Split Family Fortune,M,8/19/1952 0:00,Bajaj,Madhur,,4/4/2023 5:01,,,1952,8,19,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1104,2700,Diversified,Niraj Bajaj,68,India,Mumbai,Diversified,Diversified,India,,FALSE,Split Family Fortune,M,10/10/1954 0:00,Bajaj,Niraj,,4/4/2023 5:01,,,1954,10,10,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1104,2700,Diversified,Shekhar Bajaj,74,India,Mumbai,Diversified,Diversified,India,,FALSE,Split Family Fortune,M,6/8/1948 0:00,Bajaj,Shekhar,,4/4/2023 5:01,,,1948,6,8,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1104,2700,Finance & Investments,Harindarpal Banga,72,Hong Kong,Hong Kong,Commodities,Finance & Investments,India,,TRUE,U,M,8/10/1950 0:00,Banga,Harindarpal,,4/4/2023 5:01,,,1950,8,10,,,,,,,,,,, +1104,2700,Healthcare,Ulrike Baro,,Germany,Munich,Biopharmaceuticals,Healthcare,Germany,,FALSE,U,F,,Baro,Ulrike,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1104,2700,Healthcare,Anne Beaufour,59,United Kingdom,,Pharmaceuticals,Healthcare,France,,FALSE,U,F,8/8/1963 0:00,Beaufour,Anne,,4/4/2023 5:01,,,1963,8,8,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1104,2700,Healthcare,Henri Beaufour,57,United Kingdom,London,Pharmaceuticals,Healthcare,France,,FALSE,U,M,6/1/1965 0:00,Beaufour,Henri,,4/4/2023 5:01,,,1965,6,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1104,2700,Manufacturing,Andrei Bokarev,56,Russia,Moscow,"Metals, mining",Manufacturing,Russia,,TRUE,U,M,10/23/1966 0:00,Bokarev,Andrei,,4/4/2023 5:01,,,1966,10,23,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1104,2700,Food & Beverage,Jack Cowin,80,Australia,Sydney,Fast food,Food & Beverage,Australia,,TRUE,D,M,7/13/1942 0:00,Cowin,Jack,,4/4/2023 5:01,,,1942,7,13,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1104,2700,Finance & Investments,Glenn Dubin,65,United States,New York,Hedge funds,Finance & Investments,United States,,TRUE,U,M,4/13/1957 0:00,Dubin,Glenn,,4/4/2023 5:01,New York,Northeast,1957,4,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Energy,N. Murray Edwards,63,United Kingdom,London,Oil & gas,Energy,Canada,,TRUE,D,M,12/10/1959 0:00,Edwards,N. Murray,,4/4/2023 5:01,,,1959,12,10,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1104,2700,Sports,"Frank Fertitta, III.",61,United States,Las Vegas,"Casinos, mixed martial arts",Sports,United States,,FALSE,U,M,2/24/1962 0:00,Fertitta,Frank,,4/4/2023 5:01,Nevada,West,1962,2,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Automotive,Abhay Firodia,78,India,Pune,Automobiles,Automotive,India,,FALSE,D,M,11/5/1944 0:00,Firodia,Abhay,,4/4/2023 5:01,,,1944,11,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1104,2700,Finance & Investments,Bruce Flatt,57,United Kingdom,London,Money management,Finance & Investments,Canada,,TRUE,D,M,6/1/1965 0:00,Flatt,Bruce,Investor,4/4/2023 5:01,,,1965,6,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1104,2700,Service,Miguel Fluxa Rossello,84,Spain,Esporles,Hotels,Service,Spain,,FALSE,D,M,7/27/1938 0:00,Fluxa Rossello,Miguel,,4/4/2023 5:01,,,1938,7,27,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1104,2700,Metals & Mining,Robert Friedland,72,Singapore,Singapore,Mining,Metals & Mining,United States,Ivanhoe Mines Ltd.,TRUE,U,M,8/18/1950 0:00,Friedland,Robert,Founder and Executive Chairman,4/4/2023 5:01,,,1950,8,18,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1104,2700,Metals & Mining,Alexander Frolov,58,Russia,Moscow,"Mining, steel",Metals & Mining,Russia,,TRUE,U,M,5/17/1964 0:00,Frolov,Alexander,,4/4/2023 5:01,,,1964,5,17,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1104,2700,Diversified,Nadir Godrej,72,India,Mumbai,Consumer goods,Diversified,India,,FALSE,U,M,1/1/1951 0:00,Godrej,Nadir,,4/4/2023 5:01,,,1951,1,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1104,2700,Service,Maggie Hardy,57,United States,Belle Vernon,Building materials,Service,United States,,FALSE,U,F,12/7/1965 0:00,Hardy Knox,Maggie,,4/4/2023 5:01,Pennsylvania,Northeast,1965,12,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Finance & Investments,Nithin Kamath,43,India,Bangalore,Financial services,Finance & Investments,India,,TRUE,N,M,10/5/1979 0:00,Kamath,Nithin,,4/4/2023 5:01,,,1979,10,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1104,2700,Construction & Engineering,Samvel Karapetyan,57,Russia,Moscow,Real estate,Construction & Engineering,Russia,,TRUE,U,M,8/18/1965 0:00,Karapetyan,Samvel,,4/4/2023 5:01,,,1965,8,18,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1104,2700,Real Estate,Kei Hoi Pang,57,Hong Kong,Hong Kong,Real estate,Real Estate,China,,TRUE,D,M,1/1/1966 0:00,Kei,Hoi Pang,,4/4/2023 5:01,,,1966,1,1,,,,,,,,,,, +1104,2700,Diversified,Mustafa Rahmi Koc,92,Turkey,Istanbul,Diversified,Diversified,Turkey,,FALSE,U,M,10/9/1930 0:00,Koc,Mustafa Rahmi,,4/4/2023 5:01,,,1930,10,9,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1104,2700,Finance & Investments,Yuri Kovalchuk & family,71,Russia,St. Petersburg,"Banking, insurance, media",Finance & Investments,Russia,,TRUE,U,M,7/25/1951 0:00,Kovalchuk,Yuri,,4/4/2023 5:01,,,1951,7,25,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1104,2700,Real Estate,Geoffrey Kwok,37,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,D,M,5/1/1985 0:00,Kwok,Geoffrey,,4/4/2023 5:01,,,1985,5,1,,,,,,,,,,, +1104,2700,Real Estate,Jonathan Kwok,31,Hong Kong,Hong Kong,Real Estate,Real Estate,Hong Kong,,FALSE,U,M,3/1/1992 0:00,Kwok,Jonathan,,4/4/2023 5:01,,,1992,3,1,,,,,,,,,,, +1104,2700,Manufacturing,Hans Langer,71,Germany,Gräfelfing,3D printing,Manufacturing,Germany,,TRUE,U,M,1/18/1952 0:00,Langer,Hans,,4/4/2023 5:01,,,1952,1,18,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1104,2700,Manufacturing,Frank Laukien,63,United States,Boston,Scientific equipment,Manufacturing,United States,,FALSE,U,M,2/4/1960 0:00,Laukien,Frank,,4/4/2023 5:01,Massachusetts,Northeast,1960,2,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Real Estate,Maritsa Lazari & family,78,United Kingdom,London,Real estate,Real Estate,United Kingdom,,TRUE,D,F,10/14/1944 0:00,Lazari,Maritsa,,4/4/2023 5:01,,,1944,10,14,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1104,2700,Real Estate,Angela Leong,62,Hong Kong,Hong Kong,Casinos,Real Estate,Hong Kong,,FALSE,D,F,3/23/1961 0:00,Leong,Angela,,4/4/2023 5:01,,,1961,3,23,,,,,,,,,,, +1104,2700,Technology,Li Zhongchu,59,China,Beijing,Software,Technology,China,,TRUE,D,M,8/26/1963 0:00,Li,Zhongchu,,4/4/2023 5:01,,,1963,8,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1104,2700,Food & Beverage,Liang Yunchao,54,China,Guangzhou,Nutritional supplements,Food & Beverage,China,,TRUE,D,M,1/3/1969 0:00,Liang,Yunchao,,4/4/2023 5:01,,,1969,1,3,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1104,2700,Sports,Vincent McMahon,77,United States,Greenwich,Entertainment,Sports,United States,,TRUE,U,M,8/24/1945 0:00,McMahon,Vincent,,4/4/2023 5:01,Connecticut,Northeast,1945,8,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Metals & Mining,Patrice Motsepe,61,South Africa,Johannesburg,Mining,Metals & Mining,South Africa,,TRUE,D,M,1/28/1962 0:00,Motsepe,Patrice,,4/4/2023 5:01,,,1962,1,28,158.93,4.1,"$351,431,649,241 ",22.4,100.9,63.9,27.5,29.2,58558270,-30.559482,22.937506 +1104,2700,Telecom,Denis O'Brien,64,Ireland,Dublin,Telecom,Telecom,Ireland,,TRUE,D,M,4/17/1958 0:00,O'Brien,Denis,,4/4/2023 5:01,,,1958,4,17,,,,,,,,,,, +1104,2700,Food & Beverage,Timm Oberwelland,,,,Candy,Food & Beverage,Germany,,FALSE,Split Family Fortune,M,,Oberwelland,Timm,,4/4/2023 5:01,,,,,,,,,,,,,,,, +1104,2700,Diversified,Dan Olsson,76,Sweden,Gothenburg,Diversified,Diversified,Sweden,,FALSE,E,M,1/1/1947 0:00,Olsson,Dan,,4/4/2023 5:01,,,1947,1,1,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1104,2700,Technology,Yuji Otsuka,69,Japan,Tokyo,"Copy machines, software",Technology,Japan,,FALSE,U,M,2/13/1954 0:00,Otsuka,Yuji,,4/4/2023 5:01,,,1954,2,13,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1104,2700,Fashion & Retail,Pan Dong,58,Hong Kong,Hong Kong,Consumer goods,Fashion & Retail,Canada,,TRUE,D,F,1/1/1965 0:00,Pan,Dong,,4/4/2023 5:01,,,1965,1,1,,,,,,,,,,, +1104,2700,Diversified,Karsanbhai Patel,79,India,Ahmedabad,Consumer goods,Diversified,India,,TRUE,D,M,1/7/1944 0:00,Patel,Karsanbhai,,4/4/2023 5:01,,,1944,1,7,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1104,2700,Real Estate,Richard Peery,84,United States,Palo Alto,Real estate,Real Estate,United States,,TRUE,D,M,10/1/1938 0:00,Peery,Richard,,4/4/2023 5:01,California,West,1938,10,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Metals & Mining,Gianfelice Rocca,75,,,Pipe Manufacturing,Metals & Mining,Italy,,FALSE,Split Family Fortune,M,3/2/1948 0:00,Rocca,Gianfelice,,4/4/2023 5:01,,,1948,3,2,,,,,,,,,,, +1104,2700,Metals & Mining,Paolo Rocca,70,,,Pipe Manufacturing,Metals & Mining,Italy,,FALSE,Split Family Fortune,M,10/14/1952 0:00,Rocca,Paolo,,4/4/2023 5:01,,,1952,10,14,,,,,,,,,,, +1104,2700,Healthcare,Wayne Rothbaum,55,United States,Delray Beach,Biotech investing,Healthcare,United States,,TRUE,N,M,2/17/1968 0:00,Rothbaum,Wayne,Investor,4/4/2023 5:01,Florida,South,1968,2,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Technology,Jeff Rothschild,68,United States,Palo Alto,Facebook,Technology,United States,Meta Platforms,TRUE,D,M,1/2/1955 0:00,Rothschild,Jeff,Advisor,4/4/2023 5:01,California,West,1955,1,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Technology,Raj Sardana,63,United States,Atlanta,Technology services,Technology,United States,,TRUE,N,M,3/8/1960 0:00,Sardana,Raj,,4/4/2023 5:01,Georgia,South,1960,3,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Media & Entertainment,Christiane Schoeller,,,,Publishing,Media & Entertainment,Germany,,FALSE,U,F,,Schoeller,Christiane,,4/4/2023 5:01,,,,,,,,,,,,,,,, +1104,2700,Manufacturing,Salil Singhal,75,India,Delhi,Agrochemicals,Manufacturing,India,,FALSE,U,M,7/21/1947 0:00,Singhal,Salil,,4/4/2023 5:01,,,1947,7,21,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1104,2700,Logistics,Alexander Skorobogatko,55,Russia,Moscow,"Real estate, airport",Logistics,Russia,,TRUE,U,M,9/25/1967 0:00,Skorobogatko,Alexander,,4/4/2023 5:01,,,1967,9,25,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1104,2700,Technology,Evan Spiegel,32,United States,Los Angeles,Snapchat,Technology,United States,Snap,TRUE,D,M,6/4/1990 0:00,Spiegel,Evan,Cofounder,4/4/2023 5:01,California,West,1990,6,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Service,Glen Taylor,81,United States,Mankato,Printing,Service,United States,,TRUE,U,M,4/20/1941 0:00,Taylor,Glen,,4/4/2023 5:01,Minnesota,Midwest,1941,4,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Media & Entertainment,Thomas Tull,52,United States,Pittsburgh,"Movies, investments",Media & Entertainment,United States,,TRUE,U,M,6/11/1970 0:00,Tull,Thomas,,4/4/2023 5:01,Pennsylvania,Northeast,1970,6,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1104,2700,Metals & Mining,Bulat Utemuratov,65,Kazakhstan,Nur-Sultan,"Mining, banking, hotels",Metals & Mining,Kazakhstan,,TRUE,D,M,1/1/1958 0:00,Utemuratov,Bulat,,4/4/2023 5:01,,,1958,1,1,182.75,5.2,"$180,161,741,180 ",61.7,104.4,73.2,11.7,28.4,18513930,48.019573,66.923684 +1104,2700,Food & Beverage,Gustav Magnar Witzoe,29,Norway,Kverva,Fish farming,Food & Beverage,Norway,,FALSE,D,M,4/22/1993 0:00,Witzoe,Gustav Magnar,,4/4/2023 5:01,,,1993,4,22,120.27,2.2,"$403,336,363,636 ",82,100.3,82.8,23.9,36.2,5347896,60.472024,8.468946 +1104,2700,Manufacturing,Wong Man Li,58,Hong Kong,Hong Kong,Furniture,Manufacturing,Hong Kong,,TRUE,D,M,2/12/1965 0:00,Wong,Man Li,,4/4/2023 5:01,,,1965,2,12,,,,,,,,,,, +1104,2700,Healthcare,Guangming Wu,61,China,Danyang,Medical equipment,Healthcare,China,,TRUE,D,M,2/27/1962 0:00,Wu,Guangming,,4/4/2023 5:01,,,1962,2,27,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1104,2700,Healthcare,Zhu Yi,59,China,Chengdu,Pharmaceuticals,Healthcare,China,,TRUE,N,M,12/1/1963 0:00,Zhu ,Yi ,,4/4/2023 5:01,,,1963,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1164,2600,Real Estate,Ben Ashkenazy,53,United States,New York,Real estate,Real Estate,United States,,TRUE,D,M,9/23/1969 0:00,Ashkenazy,Ben,,4/4/2023 5:01,New York,Northeast,1969,9,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Finance & Investments,Felix Baker,54,United States,New York,Biotech investing,Finance & Investments,United States,,TRUE,D,M,3/29/1969 0:00,Baker,Felix,,4/4/2023 5:01,New York,Northeast,1969,3,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Finance & Investments,Julian Baker,56,United States,New York,Investing,Finance & Investments,United States,,TRUE,D,M,5/21/1966 0:00,Baker,Julian,,4/4/2023 5:01,New York,Northeast,1966,5,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Media & Entertainment,David Baszucki,60,United States,San Francisco,Online games,Media & Entertainment,United States,,TRUE,U,M,1/20/1963 0:00,Baszucki,David,,4/4/2023 5:01,California,West,1963,1,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Food & Beverage,Joesley Batista,51,Brazil,Sao Paulo,Beef processing,Food & Beverage,Brazil,,FALSE,D,M,2/5/1972 0:00,Batista,Joesley,,4/4/2023 5:01,,,1972,2,5,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1164,2600,Food & Beverage,Wesley Batista,50,Brazil,Sao Paulo,Beef packing,Food & Beverage,Brazil,,FALSE,D,M,12/8/1972 0:00,Batista,Wesley,,4/4/2023 5:01,,,1972,12,8,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1164,2600,Media & Entertainment,Yvonne Bauer,46,Germany,Hamburg,"Magazines, media",Media & Entertainment,Germany,,FALSE,D,F,3/29/1977 0:00,Bauer,Yvonne,,4/4/2023 5:01,,,1977,3,29,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1164,2600,Manufacturing,Miriam Baumann-Blocher,48,Switzerland,Rheinfelden,Chemicals,Manufacturing,Switzerland,,FALSE,D,F,1/1/1975 0:00,Baumann-Blocher,Miriam,,4/4/2023 5:01,,,1975,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1164,2600,Healthcare,Cen Junda,58,China,Lianyungang,Pharmaceuticals,Healthcare,China,,TRUE,U,M,6/18/1964 0:00,Cen,Junda,,4/4/2023 5:01,,,1964,6,18,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1164,2600,Finance & Investments,Richard Chandler,64,Singapore,Singapore,Investments,Finance & Investments,New Zealand,,FALSE,U,M,1/1/1959 0:00,Chandler,Richard,,4/4/2023 5:01,,,1959,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1164,2600,Manufacturing,Chen Zhiping,47,China,Shenzhen,E-cigarettes,Manufacturing,China,,TRUE,D,M,1/1/1976 0:00,Chen,Zhiping,,4/4/2023 5:01,,,1976,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1164,2600,Service,Fernando Chico Pardo,71,Mexico,Mexico City,Airport management,Service,Mexico,,TRUE,U,M,2/15/1952 0:00,Chico Pardo,Fernando,,4/4/2023 5:01,,,1952,2,15,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +1164,2600,Energy,Ray Davis,81,United States,Dallas,Pipelines,Energy,United States,,TRUE,U,M,12/18/1941 0:00,Davis,Ray,,4/4/2023 5:01,Texas,South,1941,12,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Construction & Engineering,Maria Del Pino,67,Spain,Madrid,Construction,Construction & Engineering,Spain,,FALSE,U,F,3/19/1956 0:00,Del Pino,Maria,,4/4/2023 5:01,,,1956,3,19,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1164,2600,Manufacturing,Deng Weiming & family,54,China,Changsha,Battery components,Manufacturing,China,,TRUE,D,M,9/1/1968 0:00,Deng,Weiming,,4/4/2023 5:01,,,1968,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1164,2600,Food & Beverage,"John Dorrance, III.",79,Ireland,Dublin,Campbell Soup,Food & Beverage,Ireland,,FALSE,D,M,1/1/1944 0:00,Dorrance,John,,4/4/2023 5:01,,,1944,1,1,,,,,,,,,,, +1164,2600,Diversified,Carl Douglas,61,Sweden,Stockholm,Investments,Diversified,Sweden,,FALSE,D,M,5/5/1961 0:00,Douglas,Carl,,4/4/2023 5:01,,,1961,5,5,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1164,2600,Diversified,Eric Douglas,54,Sweden,Stockholm,Investments,Diversified,Sweden,,FALSE,D,M,5/1/1968 0:00,Douglas,Eric,,4/4/2023 5:01,,,1968,5,1,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1164,2600,Manufacturing,Fiona Geminder,58,Australia,Melbourne,Manufacturing,Manufacturing,Australia,,FALSE,D,F,12/1/1964 0:00,Geminder,Fiona,,4/4/2023 5:01,,,1964,12,1,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1164,2600,Finance & Investments,Stewart Horejsi & family,85,United States,Phoenix,Berkshire Hathaway,Finance & Investments,United States,,TRUE,D,M,9/19/1937 0:00,Horejsi,Stewart,,4/4/2023 5:01,Arizona,West,1937,9,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Healthcare,Hou Juncheng,58,China,Hangzhou,Cosmetics,Healthcare,China,,TRUE,U,M,12/17/1964 0:00,Hou,Juncheng,,4/4/2023 5:01,,,1964,12,17,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1164,2600,Construction & Engineering,Zhenda Huang & family,75,China,Shantou,Construction,Construction & Engineering,China,,TRUE,D,M,9/1/1947 0:00,Huang,Zhenda,,4/4/2023 5:01,,,1947,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1164,2600,Service,Dmitry Kamenshchik,54,Russia,Moscow,Airport,Service,Russia,,TRUE,U,M,4/26/1968 0:00,Kamenshchik,Dmitry,,4/4/2023 5:01,,,1968,4,26,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1164,2600,Finance & Investments,Alicia Koplowitz,69,Spain,Madrid,"Construction, investments",Finance & Investments,Spain,,FALSE,D,F,9/12/1953 0:00,Koplowitz,Alicia,,4/4/2023 5:01,,,1953,9,12,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1164,2600,Real Estate,Adam Kwok,40,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,U,M,4/1/1983 0:00,Kwok,Adam,,4/4/2023 5:01,,,1983,4,1,,,,,,,,,,, +1164,2600,Finance & Investments,Henry Laufer,77,United States,Lake Worth,Hedge funds,Finance & Investments,United States,,TRUE,U,M,8/13/1945 0:00,Laufer,Henry,Investor,4/4/2023 5:01,Florida,South,1945,8,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Food & Beverage,Louis Le Duff,76,France,Paris,Bakeries,Food & Beverage,France,,TRUE,U,M,8/1/1946 0:00,Le Duff,Louis,,4/4/2023 5:01,,,1946,8,1,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +1164,2600,Technology,Mark Leonard & family,66,Canada,Toronto,Software,Technology,Canada,,TRUE,U,M,5/6/1956 0:00,Leonard,Mark,,4/4/2023 5:01,,,1956,5,6,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1164,2600,Automotive,Li Guoqiang,59,China,Beijing,Auto dealerships,Automotive,China,,TRUE,D,M,1/1/1964 0:00,Li,Guoqiang,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1164,2600,Service,Li Yongxin,47,China,Beijing,Education,Service,China,,TRUE,D,M,3/9/1976 0:00,Li,Yongxin,,4/4/2023 5:01,,,1976,3,9,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1164,2600,Finance & Investments,Peter Lim,69,Singapore,Singapore,Investments,Finance & Investments,Singapore,,TRUE,U,M,6/1/1953 0:00,Lim,Peter,,4/4/2023 5:01,,,1953,6,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1164,2600,Diversified,Lu Weiding,52,China,Hangzhou,Diversified,Diversified,China,,FALSE,D,M,3/1/1971 0:00,Lu,Weiding,,4/4/2023 5:01,,,1971,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1164,2600,Service,Sergio Mantegazza,95,Switzerland,Lugano,Travel,Service,Switzerland,,TRUE,D,M,10/31/1927 0:00,Mantegazza,Sergio,,4/4/2023 5:01,,,1927,10,31,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1164,2600,Finance & Investments,Hans Melchers,84,Netherlands,Vorden,"Chemicals, investments",Finance & Investments,Netherlands,,TRUE,D,M,4/28/1938 0:00,Melchers,Hans,,4/4/2023 5:01,,,1938,4,28,115.91,2.6,"$909,070,395,161 ",85,104.2,81.8,23,41.2,17332850,52.132633,5.291266 +1164,2600,Food & Beverage,C. Dean Metropoulos,76,United States,Palm Beach,Investments,Food & Beverage,United States,,TRUE,D,M,5/5/1946 0:00,Metropoulos,C. Dean,,4/4/2023 5:01,Florida,South,1946,5,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Manufacturing,Hans Georg Naeder,61,Germany,Duderstadt,Prosthetics,Manufacturing,Germany,,FALSE,E,M,9/4/1961 0:00,Naeder,Hans Georg,,4/4/2023 5:01,,,1961,9,4,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1164,2600,Fashion & Retail,Falguni Nayar,60,India,Mumbai,Retailing,Fashion & Retail,India,Nykaa,TRUE,D,F,2/19/1963 0:00,Nayar,Falguni,Founder & CEO,4/4/2023 5:01,,,1963,2,19,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1164,2600,Finance & Investments,James Packer,55,United States,Los Angeles,Investments,Finance & Investments,Australia,,FALSE,D,M,9/8/1967 0:00,Packer,James,,4/4/2023 5:01,California,West,1967,9,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Logistics,Alexander Ponomarenko,58,Russia,Moscow,"Real estate, airport",Logistics,Russia,,TRUE,U,M,10/27/1964 0:00,Ponomarenko,Alexander,,4/4/2023 5:01,,,1964,10,27,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1164,2600,Finance & Investments,Nicholas Pritzker,79,United States,Nicasio,"Hotels, investments",Finance & Investments,United States,,FALSE,D,M,1/1/1944 0:00,Pritzker,Nicholas,,4/4/2023 5:01,California,West,1944,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Food & Beverage,Alejandro Santo Domingo,46,United States,New York,Beer,Food & Beverage,United States,,FALSE,E,M,2/13/1977 0:00,Santo Domingo,Alejandro,,4/4/2023 5:01,New York,Northeast,1977,2,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Technology,Steven Sarowitz,57,United States,Highland Park,Payroll software,Technology,United States,,TRUE,D,M,11/7/1965 0:00,Sarowitz,Steven,,4/4/2023 5:01,Illinois,Midwest,1965,11,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Automotive,Maria-Elisabeth Schaeffler-Thumann,81,Germany,Herzogenaurach,Auto parts,Automotive,Germany,,FALSE,U,F,8/17/1941 0:00,Schaeffler-Thumann,Maria-Elisabeth,,4/4/2023 5:01,,,1941,8,17,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1164,2600,Healthcare,Leonard Schleifer,70,United States,Tarrytown,Pharmaceuticals,Healthcare,United States,Regeneron Pharmaceuticals,TRUE,U,M,7/7/1952 0:00,Schleifer,Leonard,CEO and Founder,4/4/2023 5:01,New York,Northeast,1952,7,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Manufacturing,Dieter Schnabel,77,Germany,Hamburg,Chemicals,Manufacturing,Germany,,FALSE,U,M,1/1/1946 0:00,Schnabel,Dieter,,4/4/2023 5:01,,,1946,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1164,2600,Energy,Michael S. Smith,67,United States,Miami Beach,Liquefied natural gas,Energy,United States,,TRUE,U,M,5/9/1955 0:00,Smith,Michael S.,Investor,4/4/2023 5:01,Florida,South,1955,5,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Manufacturing,Julia Thiele-Schuerhoff,51,Germany,Munich,"Brakes, investments",Manufacturing,Germany,,FALSE,D,F,1/1/1972 0:00,Thiele-Schuerhoff,Julia,,4/4/2023 5:01,,,1972,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1164,2600,Food & Beverage,John Tyson & family,69,United States,Springdale,Food processing,Food & Beverage,United States,,FALSE,D,M,9/5/1953 0:00,Tyson,John,,4/4/2023 5:01,Arkansas,South,1953,9,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1164,2600,Manufacturing,Anna Katharina Viessmann,,Germany,Battenberg,Heating and cooling equipment,Manufacturing,Germany,,FALSE,D,F,,Viessmann,Anna Katharina,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1164,2600,Construction & Engineering,Jurgen Wirtgen,57,,,Construction Vehicles,Construction & Engineering,Germany,,FALSE,N,M,7/1/1965 0:00,Wirtgen,Jurgen,,4/4/2023 5:01,,,1965,7,1,,,,,,,,,,, +1164,2600,Construction & Engineering,Stefan Wirtgen,52,,,Construction Vehicles,Construction & Engineering,Germany,,FALSE,N,M,7/1/1970 0:00,Wirtgen,Stefan,,4/4/2023 5:01,,,1970,7,1,,,,,,,,,,, +1164,2600,Technology,Zhao Lixin,57,China,Shanghai,Electronics,Technology,China,,TRUE,D,M,1/1/1966 0:00,Zhao,Lixin,,4/4/2023 5:01,,,1966,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1164,2600,Technology,Hongyi Zhou,52,China,Beijing,Security software,Technology,China,,TRUE,U,M,10/1/1970 0:00,Zhou,Hongyi,,4/4/2023 5:01,,,1970,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1217,2500,Food & Beverage,S. Daniel Abraham,98,United States,Palm Beach,Slim-Fast,Food & Beverage,United States,S. Daniel Abraham Center for Middle East Peace,TRUE,U,M,8/15/1924 0:00,Abraham,S. Daniel,Chairman,4/4/2023 5:01,Florida,South,1924,8,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Fashion & Retail,Bill Alfond,74,United States,Boston,Shoes,Fashion & Retail,United States,,FALSE,D,M,5/16/1948 0:00,Alfond,Bill,,4/4/2023 5:01,Massachusetts,Northeast,1948,5,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Fashion & Retail,Susan Alfond,77,United States,Scarborough,Shoes,Fashion & Retail,United States,,FALSE,D,F,7/19/1945 0:00,Alfond,Susan,,4/4/2023 5:01,Maine,Northeast,1945,7,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Fashion & Retail,Ted Alfond,78,United States,Weston,Shoes,Fashion & Retail,United States,,FALSE,D,M,8/19/1944 0:00,Alfond,Ted,,4/4/2023 5:01,Massachusetts,Northeast,1944,8,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Construction & Engineering,Riley Bechtel & family,71,United States,San Francisco,"Engineering, construction",Construction & Engineering,United States,Bechtel Corp.,FALSE,D,M,3/25/1952 0:00,Bechtel,Riley,former Chairman and CEO,4/4/2023 5:01,California,West,1952,3,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Diversified,Thor Bjorgolfsson,56,United Kingdom,London,Investments,Diversified,Iceland,,TRUE,E,M,3/19/1967 0:00,Bjorgolfsson,Thor,,4/4/2023 5:01,,,1967,3,19,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1217,2500,Food & Beverage,Charles Bronfman,91,United States,Palm Beach,Liquor,Food & Beverage,Canada,,FALSE,E,M,6/27/1931 0:00,Bronfman,Charles,,4/4/2023 5:01,Florida,South,1931,6,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Food & Beverage,Vivek Chand Burman,85,India,Delhi,Consumer goods,Food & Beverage,India,,FALSE,D,M,4/28/1937 0:00,Burman,Vivek Chand,,4/4/2023 5:01,,,1937,4,28,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1217,2500,Automotive,Herb Chambers,81,United States,Boston,Car dealerships,Automotive,United States,,TRUE,U,M,1/1/1942 0:00,Chambers,Herb,,4/4/2023 5:01,Massachusetts,Northeast,1942,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Media & Entertainment,Cheng Yixiao,39,China,Beijing,Video streaming app,Media & Entertainment,China,,TRUE,D,M,1/1/1984 0:00,Cheng,Yixiao,,4/4/2023 5:01,,,1984,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1217,2500,Food & Beverage,Andrew Cherng,75,United States,Las Vegas,Fast food,Food & Beverage,United States,,TRUE,Split Family Fortune,M,4/2/1948 0:00,Cherng,Andrew,,4/4/2023 5:01,Nevada,West,1948,4,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Food & Beverage,Peggy Cherng,75,United States,Las Vegas,Fast food,Food & Beverage,United States,,TRUE,Split Family Fortune,F,12/18/1947 0:00,Cherng,Peggy,,4/4/2023 5:01,Nevada,West,1947,12,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Finance & Investments,Leon G. Cooperman,79,United States,Boca Raton,Hedge funds,Finance & Investments,United States,"Omega Advisors, Inc.",TRUE,E,M,4/25/1943 0:00,Cooperman,Leon G.,Founder,4/4/2023 5:01,Florida,South,1943,4,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Manufacturing,Yadu Hari Dalmia & family,75,India,Delhi,Cement,Manufacturing,India,,FALSE,U,M,6/2/1947 0:00,Dalmia,Yadu Hari,,4/4/2023 5:01,,,1947,6,2,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1217,2500,Food & Beverage,Henry Davis,72,United States,Omaha,Beef processing,Food & Beverage,United States,,FALSE,U,M,2/16/1951 0:00,Davis,Henry,,4/4/2023 5:01,Nebraska,Midwest,1951,2,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Metals & Mining,Oleg Deripaska,55,Russia,Moscow,"Aluminum, utilities",Metals & Mining,Russia,,TRUE,U,M,1/2/1968 0:00,Deripaska,Oleg,,4/4/2023 5:01,,,1968,1,2,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1217,2500,Technology,Sergey Dmitriev,57,Cyprus,Paralimni,Software,Technology,Cyprus,,TRUE,D,M,3/11/1966 0:00,Dmitriev,Sergey,,4/4/2023 5:01,,,1966,3,11,102.51,0.3,"$24,564,647,935 ",75.9,99.3,80.8,24.5,22.4,1198575,35.126413,33.429859 +1217,2500,Finance & Investments,Joseph Edelman,67,United States,New York,Hedge funds,Finance & Investments,United States,Perceptive Advisors,TRUE,D,M,6/10/1955 0:00,Edelman,Joseph,Founder & CEO,4/4/2023 5:01,New York,Northeast,1955,6,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Manufacturing,Sandeep Engineer,61,India,Ahmedabad,Plastic pipes,Manufacturing,India,,TRUE,D,M,5/11/1961 0:00,Engineer,Sandeep,,4/4/2023 5:01,,,1961,5,11,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1217,2500,Energy,Alceu Elias Feldmann & family,73,Brazil,Curitiba,Fertilizer,Energy,Brazil,,TRUE,D,M,7/1/1949 0:00,Feldmann,Alceu Elias,,4/4/2023 5:01,,,1949,7,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1217,2500,Technology,Serge Godin,73,Canada,Westmount,Information technology,Technology,Canada,CGI Group,TRUE,U,M,11/17/1949 0:00,Godin,Serge,Chairman and CEO,4/4/2023 5:01,,,1949,11,17,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1217,2500,Finance & Investments,Alec Gores,70,United States,Beverly Hills,Private equity,Finance & Investments,United States,,TRUE,D,M,3/18/1953 0:00,Gores,Alec,,4/4/2023 5:01,California,West,1953,3,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Fashion & Retail,Bill Haslam,64,United States,Knoxville,Gas stations,Fashion & Retail,United States,,FALSE,U,M,8/23/1958 0:00,Haslam,Bill,,4/4/2023 5:01,Tennessee,South,1958,8,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Finance & Investments,J. Tomilson Hill,74,United States,New York,Investments,Finance & Investments,United States,,TRUE,D,M,5/24/1948 0:00,Hill,J. Tomilson,,4/4/2023 5:01,New York,Northeast,1948,5,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Media & Entertainment,Jay-Z,53,United States,New York,Music,Media & Entertainment,United States,,TRUE,U,M,12/4/1969 0:00,Jay-Z,,,4/4/2023 5:01,New York,Northeast,1969,12,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Automotive,Baba Kalyani,74,India,Pune,Engineering,Automotive,India,,FALSE,E,M,1/7/1949 0:00,Kalyani,Baba,,4/4/2023 5:01,,,1949,1,7,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1217,2500,Energy,Saban Cemil Kazanci,62,Turkey,Istanbul,Energy,Energy,Turkey,,FALSE,R,M,2/13/1961 0:00,Kazanci,Saban Cemil,,4/4/2023 5:01,,,1961,2,13,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1217,2500,Real Estate,Brad Kelley,66,United States,Franklin,Tobacco,Real Estate,United States,,TRUE,D,M,12/23/1956 0:00,Kelley,Brad,,4/4/2023 5:01,Tennessee,South,1956,12,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Construction & Engineering,Wolfgang Leitner,70,Austria,Graz,Engineering,Construction & Engineering,Austria,,TRUE,U,M,3/27/1953 0:00,Leitner,Wolfgang,,4/4/2023 5:01,,,1953,3,27,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +1217,2500,Manufacturing,Li Hongxin & family,70,China,Yanzhou,Paper & related products,Manufacturing,China,,TRUE,D,M,3/7/1953 0:00,Li,Hongxin,,4/4/2023 5:01,,,1953,3,7,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1217,2500,Real Estate,Lin Chen-hai,76,Taiwan,Taipei,Real estate,Real Estate,Taiwan,,TRUE,D,M,3/1/1947 0:00,Lin,Chen-hai,,4/4/2023 5:01,,,1947,3,1,,,,,,,,,,, +1217,2500,Fashion & Retail,Lu Yiwen,36,China,Shenzhen,Jewelry,Fashion & Retail,China,,TRUE,D,F,1/1/1987 0:00,Lu,Yiwen,,4/4/2023 5:01,,,1987,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1217,2500,Food & Beverage,Prayudh Mahagitsiri,77,Thailand,Bangkok,"Coffee, shipping",Food & Beverage,Thailand,,FALSE,U,M,1/1/1946 0:00,Mahagitsiri,Prayudh,,4/4/2023 5:01,,,1946,1,1,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1217,2500,Healthcare,Willy Michel,76,Switzerland,Burgdorf,Medical devices,Healthcare,Switzerland,,TRUE,E,M,1/1/1947 0:00,Michel,Willy,,4/4/2023 5:01,,,1947,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1217,2500,Automotive,Lachhman Das Mittal,92,India,Delhi,Tractors,Automotive,India,,FALSE,E,M,11/5/1930 0:00,Mittal,Lachhman Das,,4/4/2023 5:01,,,1930,11,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1217,2500,Technology,Bobby Murphy,34,United States,Venice,Snapchat,Technology,United States,Snap,TRUE,D,M,7/19/1988 0:00,Murphy,Bobby,Cofounder,4/4/2023 5:01,California,West,1988,7,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Real Estate,Tomas Olivo Lopez,49,Spain,Marbella,Shopping centers,Real Estate,Spain,,TRUE,U,M,1/1/1974 0:00,Olivo Lopez,Tomas,,4/4/2023 5:01,,,1974,1,1,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1217,2500,Manufacturing,Eren Ozmen,64,United States,Reno,Aerospace,Manufacturing,United States,,TRUE,D,F,9/3/1958 0:00,Ozmen,Eren,,4/4/2023 5:01,Nevada,West,1958,9,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Finance & Investments,John Pritzker,69,United States,San Francisco,"Hotels, investments",Finance & Investments,United States,,FALSE,D,M,8/10/1953 0:00,Pritzker,John,,4/4/2023 5:01,California,West,1953,8,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Technology,Qiu Minxiu,77,China,Shangyu,Semiconductors,Technology,China,,TRUE,E,F,9/17/1945 0:00,Qiu,Minxiu,,4/4/2023 5:01,,,1945,9,17,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1217,2500,Diversified,Ferit Faik Sahenk,59,Turkey,Istanbul,Diversified,Diversified,Turkey,,FALSE,U,M,3/18/1964 0:00,Sahenk,Ferit Faik,,4/4/2023 5:01,,,1964,3,18,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1217,2500,Metals & Mining,Wenrong Shen,77,China,Zhangjiagang,Steel production,Metals & Mining,China,,TRUE,U,M,2/13/1946 0:00,Shen,Wenrong,,4/4/2023 5:01,,,1946,2,13,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1217,2500,Diversified,Yuzhu Shi,60,China,Shanghai,"Online games, investments",Diversified,China,,TRUE,D,M,9/1/1962 0:00,Shi,Yuzhu,,4/4/2023 5:01,,,1962,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1217,2500,Real Estate,Jeff Sutton,63,United States,New York,Real estate,Real Estate,United States,,TRUE,D,M,1/17/1960 0:00,Sutton,Jeff,,4/4/2023 5:01,New York,Northeast,1960,1,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Diversified,"Henry Sy, Jr.",69,Philippines,Manila,Diversified,Diversified,Philippines,,FALSE,D,M,1/1/1954 0:00,Sy,Henry,,4/4/2023 5:01,,,1954,1,1,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +1217,2500,Diversified,Andrew Tan,71,Philippines,Manila,Diversified,Diversified,Philippines,,TRUE,D,M,2/1/1952 0:00,Tan,Andrew,,4/4/2023 5:01,,,1952,2,1,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +1217,2500,Energy,Arvind Tiku,53,Singapore,Singapore,"Oil & gas, investments",Energy,India,,TRUE,U,M,2/22/1970 0:00,Tiku,Arvind,,4/4/2023 5:01,,,1970,2,22,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1217,2500,Finance & Investments,Byron Trott,64,United States,Winnetka,Investments,Finance & Investments,United States,,TRUE,U,M,12/2/1958 0:00,Trott,Byron,,4/4/2023 5:01,Illinois,Midwest,1958,12,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Real Estate,Donald Trump,76,United States,Palm Beach,Real estate,Real Estate,United States,,FALSE,D,M,6/14/1946 0:00,Trump,Donald,,4/4/2023 5:01,Florida,South,1946,6,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Automotive,Peter Unger,78,Germany,Neustadt an der Waldnaab,Auto repair,Automotive,Germany,,TRUE,U,M,8/20/1944 0:00,Unger,Peter,,4/4/2023 5:01,,,1944,8,20,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1217,2500,Fashion & Retail,Roger Wang,74,China,Nanjing,Retail,Fashion & Retail,United States,,TRUE,D,M,1/1/1949 0:00,Wang,Roger,,4/4/2023 5:01,,,1949,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1217,2500,Media & Entertainment,Oprah Winfrey,69,United States,Montecito,TV shows,Media & Entertainment,United States,,TRUE,D,F,1/29/1954 0:00,Winfrey,Oprah,"Entrepreneur, Personality, Philanthropist",4/4/2023 5:01,California,West,1954,1,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1217,2500,Food & Beverage,Wu Zhigang & family,88,China,Shenyang,Bakery chain,Food & Beverage,China,,TRUE,D,M,1/14/1935 0:00,Wu,Zhigang,,4/4/2023 5:01,,,1935,1,14,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1217,2500,Metals & Mining,Xie Weitong,66,Singapore,,Cobalt,Metals & Mining,Taiwan,,TRUE,D,M,1/1/1957 0:00,Xie,Weitong,,4/4/2023 5:01,,,1957,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1217,2500,Fashion & Retail,Ye Guofu,45,China,Guangzhou,Retail,Fashion & Retail,China,,TRUE,R,M,1/1/1978 0:00,Ye,Guofu,,4/4/2023 5:01,,,1978,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1272,2400,Technology,Brian Acton,51,United States,Palo Alto,WhatsApp,Technology,United States,WhatsApp Inc.,TRUE,D,M,2/17/1972 0:00,Acton,Brian,Cofounder,4/4/2023 5:01,California,West,1972,2,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Automotive,Abdulla Al Futtaim & family,83,United Arab Emirates,Dubai,"Auto dealers, investments",Automotive,United Arab Emirates,,FALSE,D,M,1/1/1940 0:00,Al Futtaim,Abdulla,,4/4/2023 5:01,,,1940,1,1,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +1272,2400,Energy,Edward Bass,77,United States,Fort Worth,"Oil, investments",Energy,United States,,FALSE,E,M,9/10/1945 0:00,Bass,Edward,,4/4/2023 5:01,Texas,South,1945,9,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Media & Entertainment,Koos Bekker,70,South Africa,Cape Town,"Media, investments",Media & Entertainment,South Africa,,TRUE,U,M,12/14/1952 0:00,Bekker,Koos,,4/4/2023 5:01,,,1952,12,14,158.93,4.1,"$351,431,649,241 ",22.4,100.9,63.9,27.5,29.2,58558270,-30.559482,22.937506 +1272,2400,Healthcare,Otto Philipp Braun,45,Germany,Melsungen,Medical technology,Healthcare,Germany,,FALSE,D,M,1/1/1978 0:00,Braun,Otto Philipp,,4/4/2023 5:01,,,1978,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1272,2400,Fashion & Retail,Chen Tei-fu,74,United States,Los Angeles,Herbal products,Fashion & Retail,Taiwan,,TRUE,D,M,4/19/1948 0:00,Chen,Tei-fu,,4/4/2023 5:01,California,West,1948,4,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Fashion & Retail,Abilio dos Santos Diniz,86,Brazil,Sao Paulo,Retail,Fashion & Retail,Brazil,,FALSE,D,M,12/28/1936 0:00,Diniz,Abilio dos Santos,,4/4/2023 5:01,,,1936,12,28,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1272,2400,Finance & Investments,Marcel Erni,58,Switzerland,Zug,Private equity,Finance & Investments,Switzerland,,TRUE,D,M,1/1/1965 0:00,Erni,Marcel,,4/4/2023 5:01,,,1965,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1272,2400,Fashion & Retail,Doris Fisher,91,United States,San Francisco,Gap,Fashion & Retail,United States,Gap Inc.,TRUE,D,F,8/23/1931 0:00,Fisher,Doris,Cofounder,4/4/2023 5:01,California,West,1931,8,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Finance & Investments,Gerald Ford,78,United States,Dallas,Banking,Finance & Investments,United States,Ford Financial Fund,TRUE,D,M,8/4/1944 0:00,Ford,Gerald,Managing Member,4/4/2023 5:01,Texas,South,1944,8,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Healthcare,Bernard Fraisse & family,66,France,Paris,Pharmaceuticals,Healthcare,France,,TRUE,E,M,8/10/1956 0:00,Fraisse,Bernard,,4/4/2023 5:01,,,1956,8,10,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +1272,2400,Finance & Investments,Alfred Gantner,55,Switzerland,Zug,Private equity,Finance & Investments,Switzerland,,TRUE,D,M,4/1/1968 0:00,Gantner,Alfred,,4/4/2023 5:01,,,1968,4,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1272,2400,Gambling & Casinos,Paul Gauselmann & family,88,Germany,Espelkamp,Gambling,Gambling & Casinos,Germany,,TRUE,D,M,8/26/1934 0:00,Gauselmann,Paul,,4/4/2023 5:01,,,1934,8,26,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1272,2400,Real Estate,Mitchell Goldhar,61,Canada,North York,Real estate,Real Estate,Canada,SmartCentres,TRUE,D,M,7/15/1961 0:00,Goldhar,Mitchell,Owner,4/4/2023 5:01,,,1961,7,15,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1272,2400,Finance & Investments,Peter Hargreaves,76,United Kingdom,Bristol,Financial services,Finance & Investments,United Kingdom,,TRUE,D,M,10/5/1946 0:00,Hargreaves,Peter,,4/4/2023 5:01,,,1946,10,5,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1272,2400,Healthcare,Xuande Hua & family,79,China,Taizhou,Pharmaceuticals,Healthcare,China,,TRUE,D,M,10/30/1943 0:00,Hua,Xuande,,4/4/2023 5:01,,,1943,10,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1272,2400,Diversified,Kwek Leng Kee,68,Singapore,Singapore,Diversified,Diversified,Singapore,,FALSE,U,M,1/1/1955 0:00,Kwek,Leng Kee,,4/4/2023 5:01,,,1955,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1272,2400,Manufacturing,Catherine Lozick,77,United States,Fort Lauderdale,Valve manufacturing,Manufacturing,United States,,FALSE,U,F,5/1/1945 0:00,Lozick,Catherine,,4/4/2023 5:01,Florida,South,1945,5,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Media & Entertainment,Kalanithi Maran,57,India,Chennai,Media,Media & Entertainment,India,,TRUE,E,M,7/26/1965 0:00,Maran,Kalanithi,,4/4/2023 5:01,,,1965,7,26,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1272,2400,Finance & Investments,Jed McCaleb,48,United States,Berkeley,Cryptocurrency,Finance & Investments,United States,,TRUE,D,M,1/1/1975 0:00,McCaleb,Jed,,4/4/2023 5:01,California,West,1975,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Manufacturing,Fatih Ozmen,65,United States,Reno,Aerospace,Manufacturing,United States,,TRUE,D,M,2/2/1958 0:00,Ozmen,Fatih,,4/4/2023 5:01,Nevada,West,1958,2,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Food & Beverage,Pan Laican,,China,foshan,Soy sauce,Food & Beverage,China,,TRUE,D,M,,Pan,Laican,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1272,2400,Metals & Mining,Tor Peterson,58,Switzerland,Zug,Commodities,Metals & Mining,United States,,TRUE,D,M,8/7/1964 0:00,Peterson,Tor,,4/4/2023 5:01,,,1964,8,7,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1272,2400,Finance & Investments,Daniel Pritzker,63,United States,Marin County,"Hotels, investments",Finance & Investments,United States,,FALSE,D,M,9/15/1959 0:00,Pritzker,Daniel,,4/4/2023 5:01,California,West,1959,9,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Real Estate,Jinxing Qi,61,China,Hangzhou,Real estate,Real Estate,China,,TRUE,U,M,3/28/1962 0:00,Qi,Jinxing,,4/4/2023 5:01,,,1962,3,28,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1272,2400,Manufacturing,Qiu Jianping & family,61,China,Hangzhou,Hand tools,Manufacturing,China,,TRUE,U,M,1/28/1962 0:00,Qiu,Jianping,,4/4/2023 5:01,,,1962,1,28,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1272,2400,Diversified,Rajan Raheja & family,68,India,Mumbai,Diversified,Diversified,India,,FALSE,E,M,6/1/1954 0:00,Raheja,Rajan,,4/4/2023 5:01,,,1954,6,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1272,2400,Finance & Investments,Matthias Reinhart,63,Switzerland,Zurich,Financial services,Finance & Investments,Switzerland,,TRUE,D,M,1/1/1960 0:00,Reinhart,Matthias,,4/4/2023 5:01,,,1960,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1272,2400,Technology,Arnout Schuijff,55,Netherlands,Amsterdam,Payments software,Technology,Netherlands,,TRUE,D,M,10/16/1967 0:00,Schuijff,Arnout,,4/4/2023 5:01,,,1967,10,16,115.91,2.6,"$909,070,395,161 ",85,104.2,81.8,23,41.2,17332850,52.132633,5.291266 +1272,2400,Diversified,Hans Sy,67,Philippines,Manila,Diversified,Diversified,Philippines,,FALSE,D,M,9/29/1955 0:00,Sy,Hans,,4/4/2023 5:01,,,1955,9,29,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +1272,2400,Diversified,Herbert Sy,66,Philippines,Manila,Diversified,Diversified,Philippines,,FALSE,D,M,10/1/1956 0:00,Sy,Herbert,,4/4/2023 5:01,,,1956,10,1,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +1272,2400,Diversified,Lucio Tan,88,Philippines,Manila,Diversified,Diversified,Philippines,,TRUE,U,M,7/17/1934 0:00,Tan,Lucio,,4/4/2023 5:01,,,1934,7,17,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +1272,2400,Technology,Tsai Ming-kai,72,Taiwan,Hsinchu,Semiconductors,Technology,Taiwan,,TRUE,D,M,4/6/1950 0:00,Tsai,Ming-kai,,4/4/2023 5:01,,,1950,4,6,,,,,,,,,,, +1272,2400,Media & Entertainment,Ted Turner,84,United States,Atlanta,Cable television,Media & Entertainment,United States,,FALSE,U,M,11/19/1938 0:00,Turner,Ted,,4/4/2023 5:01,Georgia,South,1938,11,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Real Estate,David Walentas,84,United States,New York,Real estate,Real Estate,United States,,TRUE,U,M,8/7/1938 0:00,Walentas,David,,4/4/2023 5:01,New York,Northeast,1938,8,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Finance & Investments,Urs Wietlisbach,61,Switzerland,Zug,Private equity,Finance & Investments,Switzerland,,TRUE,D,M,8/25/1961 0:00,Wietlisbach,Urs,,4/4/2023 5:01,,,1961,8,25,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1272,2400,Technology,Jerry Yang,54,United States,Los Altos Hills,Yahoo,Technology,United States,Yahoo!,TRUE,D,M,11/6/1968 0:00,Yang,Jerry,Cofounder,4/4/2023 5:01,California,West,1968,11,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1272,2400,Manufacturing,Yang Jianliang & family,53,China,Wuxi,Machinery,Manufacturing,China,,TRUE,D,M,6/1/1969 0:00,Yang,Jianliang,,4/4/2023 5:01,,,1969,6,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1272,2400,Manufacturing,Yang Weidong & family,54,China,Jiaxing,Chemicals,Manufacturing,China,,TRUE,D,M,9/9/1968 0:00,Yang,Weidong,,4/4/2023 5:01,,,1968,9,9,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1272,2400,Real Estate,Mortimer Zuckerman,85,United States,New York,"Real estate, media",Real Estate,United States,Boston Properties,TRUE,D,M,6/4/1937 0:00,Zuckerman,Mortimer,Chairman and CEO,4/4/2023 5:01,New York,Northeast,1937,6,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Finance & Investments,John Armitage,63,United Kingdom,London,Hedge funds,Finance & Investments,Ireland,Egerton Capital,TRUE,D,M,12/1/1959 0:00,Armitage,John,,4/4/2023 5:01,,,1959,12,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1312,2300,Energy,Lee Bass,66,United States,Fort Worth,"Oil, investments",Energy,United States,,FALSE,U,M,5/24/1956 0:00,Bass,Lee,,4/4/2023 5:01,Texas,South,1956,5,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Technology,John Bicket,43,United States,San Francisco,Sensor systems,Technology,United States,,TRUE,U,M,3/20/1980 0:00,Bicket,John,,4/4/2023 5:01,California,West,1980,3,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Technology,Sanjit Biswas,41,United States,San Francisco,Sensor systems,Technology,United States,,TRUE,U,M,1/12/1982 0:00,Biswas,Sanjit,,4/4/2023 5:01,California,West,1982,1,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Fashion & Retail,Timothy Boyle,73,United States,Portland,Columbia Sportswear,Fashion & Retail,United States,,TRUE,E,M,9/7/1949 0:00,Boyle,Timothy,,4/4/2023 5:01,Oregon,West,1949,9,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Technology,Morris Chang,91,Taiwan,Hsinchu,Semiconductors,Technology,Taiwan,,TRUE,D,M,7/10/1931 0:00,Chang,Morris,,4/4/2023 5:01,,,1931,7,10,,,,,,,,,,, +1312,2300,Real Estate,Chao Teng-hsiung,78,Taiwan,Taipei,Real estate,Real Estate,Taiwan,,TRUE,D,M,10/4/1944 0:00,Chao,Teng-hsiung,,4/4/2023 5:01,,,1944,10,4,,,,,,,,,,, +1312,2300,Finance & Investments,Samuel Chen,73,,,Investments,Finance & Investments,Taiwan,,TRUE,N,M,1/1/1950 0:00,Chen,Samuel,,4/4/2023 5:01,,,1950,1,1,,,,,,,,,,, +1312,2300,Manufacturing,Chu Lam Yiu,53,Hong Kong,Hong Kong,Flavorings,Manufacturing,Hong Kong,,TRUE,E,F,12/1/1969 0:00,Chu,Lam Yiu,,4/4/2023 5:01,,,1969,12,1,,,,,,,,,,, +1312,2300,Technology,K. Dinesh,68,India,Bangalore,Software services,Technology,India,,TRUE,D,M,6/6/1954 0:00,Dinesh,K.,,4/4/2023 5:01,,,1954,6,6,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1312,2300,Diversified,James Duff,62,United States,Hattiesburg,"Tires, diversified",Diversified,United States,,TRUE,U,M,3/7/1961 0:00,Duff,James,,4/4/2023 5:01,Mississippi,South,1961,3,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Diversified,Thomas Duff,66,United States,Hattiesburg,"Tires, diversified",Diversified,United States,,TRUE,U,M,12/31/1956 0:00,Duff,Thomas,,4/4/2023 5:01,Mississippi,South,1956,12,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Technology,Daniel Ek,40,Sweden,Stockholm,Spotify,Technology,Sweden,Spotify,TRUE,D,M,2/21/1983 0:00,Ek,Daniel,CEO,4/4/2023 5:01,,,1983,2,21,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1312,2300,Fashion & Retail,John Fisher,61,United States,San Francisco,Gap,Fashion & Retail,United States,"Pisces, Inc.",FALSE,D,M,6/1/1961 0:00,Fisher,John,President,4/4/2023 5:01,California,West,1961,6,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Fashion & Retail,Georg Haub,61,Germany,Berlin,Retail,Fashion & Retail,Germany,,FALSE,U,M,1/1/1962 0:00,Haub,Georg,,4/4/2023 5:01,,,1962,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1312,2300,Construction & Engineering,Erman Ilicak,55,Turkey,Ankara,Construction,Construction & Engineering,Turkey,,TRUE,E,M,10/3/1967 0:00,Ilicak,Erman,,4/4/2023 5:01,,,1967,10,3,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1312,2300,Finance & Investments,Justin Ishbia,45,United States,Chicago,Private equity,Finance & Investments,United States,,FALSE,U,M,9/18/1977 0:00,Ishbia,Justin,,4/4/2023 5:01,Illinois,Midwest,1977,9,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Technology,Long Jiang,49,China,Weifang,Manufacturing,Technology,China,,TRUE,U,M,2/1/1974 0:00,Jiang,Long,,4/4/2023 5:01,,,1974,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1312,2300,Finance & Investments,Bruce Karsh,67,United States,Los Angeles,Private equity,Finance & Investments,United States,Oaktree Capital Group LLC,TRUE,U,M,10/10/1955 0:00,Karsh,Bruce,President,4/4/2023 5:01,California,West,1955,10,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Technology,Bom Kim,44,South Korea,Seoul,Online retailing,Technology,United States,Coupang,TRUE,D,M,10/1/1978 0:00,Kim,Bom,,4/4/2023 5:01,,,1978,10,1,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +1312,2300,Food & Beverage,Jianping Lai,,China,Foshan,Soy sauce,Food & Beverage,China,,TRUE,D,M,,Lai,Jianping,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1312,2300,Healthcare,Lam Kong,58,Hong Kong,Hong Kong,Pharmaceuticals,Healthcare,China,,TRUE,D,M,6/15/1964 0:00,Lam,Kong,,4/4/2023 5:01,,,1964,6,15,,,,,,,,,,, +1312,2300,Finance & Investments,Stephen Lansdown,70,Guernsey,St. Peter Port,Financial services,Finance & Investments,Guernsey,,TRUE,D,M,8/30/1952 0:00,Lansdown,Stephen,,4/4/2023 5:01,,,1952,8,30,,,,,,,,,,, +1312,2300,Fashion & Retail,Kevin David Lehmann,20,,,Drugstores,Fashion & Retail,Germany,,FALSE,D,M,9/1/2002 0:00,Lehmann,Kevin David,,4/4/2023 5:01,,,2002,9,1,,,,,,,,,,, +1312,2300,Food & Beverage,Li Haiyan,,China,Chengdu,Restaurants,Food & Beverage,China,,TRUE,U,F,,Li,Haiyan,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1312,2300,Finance & Investments,Hua Li,45,China,Shenzhen,Financial services,Finance & Investments,China,,TRUE,U,M,1/1/1978 0:00,Li,Hua,,4/4/2023 5:01,,,1978,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1312,2300,Gambling & Casinos,Lim Kok Thay,71,Malaysia,Kuala Lumpur,Casinos,Gambling & Casinos,Malaysia,,FALSE,U,M,8/16/1951 0:00,Lim,Kok Thay,,4/4/2023 5:01,,,1951,8,16,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +1312,2300,Food & Beverage,Kishore Mariwala,88,India,Mumbai,Consumer goods,Food & Beverage,India,,FALSE,D,M,2/14/1935 0:00,Mariwala,Kishore,,4/4/2023 5:01,,,1935,2,14,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1312,2300,Food & Beverage,Clayton Mathile,82,United States,Brookville,Pet food,Food & Beverage,United States,,TRUE,E,M,1/11/1941 0:00,Mathile,Clayton,"Investor, Philanthropist",4/4/2023 5:01,Ohio,,1941,1,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Fashion & Retail,Mi Enhua,65,China,Urumqi,Retail,Fashion & Retail,China,,TRUE,D,M,4/1/1958 0:00,Mi,Enhua,,4/4/2023 5:01,,,1958,4,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1312,2300,Food & Beverage,Vadim Moshkovich,55,Russia,Moscow,"Agriculture, land",Food & Beverage,Russia,,TRUE,U,M,4/6/1967 0:00,Moshkovich,Vadim,,4/4/2023 5:01,,,1967,4,6,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1312,2300,Food & Beverage,David Murdock,99,United States,Ventura,"Dole, real estate",Food & Beverage,United States,,TRUE,E,M,4/10/1923 0:00,Murdock,David,,4/4/2023 5:01,California,West,1923,4,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Fashion & Retail,David Nahmad,75,United States,New York,Art collection,Fashion & Retail,Monaco,,TRUE,U,M,4/14/1947 0:00,Nahmad,David,,4/4/2023 5:01,New York,Northeast,1947,4,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Finance & Investments,Lirio Parisotto,69,Brazil,Manaus,Investments,Finance & Investments,Brazil,,TRUE,D,M,12/18/1953 0:00,Parisotto,Lirio,,4/4/2023 5:01,,,1953,12,18,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1312,2300,Food & Beverage,Augusto Perfetti,,Switzerland,Lugano,Candy,Food & Beverage,Italy,,FALSE,Split Family Fortune,M,,Perfetti,Augusto,,4/4/2023 5:01,,,,,,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1312,2300,Food & Beverage,Giorgio Perfetti,,Switzerland,Lugano,Candy,Food & Beverage,Italy,,FALSE,Split Family Fortune,M,,Perfetti,Giorgio,,4/4/2023 5:01,,,,,,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1312,2300,Fashion & Retail,Alberto Prada,69,Italy,Milan,Luxury goods,Fashion & Retail,Italy,,FALSE,U,M,2/21/1954 0:00,Prada,Alberto,,4/4/2023 5:01,,,1954,2,21,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1312,2300,Fashion & Retail,Marina Prada,77,Italy,Milan,Luxury goods,Fashion & Retail,Italy,,FALSE,U,F,7/14/1945 0:00,Prada,Marina,,4/4/2023 5:01,,,1945,7,14,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1312,2300,Diversified,Filiz Sahenk,56,Turkey,Istanbul,Diversified,Diversified,Turkey,,FALSE,U,F,2/14/1967 0:00,Sahenk,Filiz,,4/4/2023 5:01,,,1967,2,14,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1312,2300,Food & Beverage,Richard Sands,72,United States,Delray Beach,Liquor,Food & Beverage,United States,,FALSE,Split Family Fortune,M,3/3/1951 0:00,Sands,Richard,,4/4/2023 5:01,Florida,South,1951,3,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Finance & Investments,Stephan Schmidheiny,75,Switzerland,Hurden,Investments,Finance & Investments,Switzerland,,FALSE,E,M,10/29/1947 0:00,Schmidheiny,Stephan,,4/4/2023 5:01,,,1947,10,29,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1312,2300,Healthcare,Alberto Siccardi & family,78,Switzerland,Lugano,Medical devices,Healthcare,Switzerland,,FALSE,D,M,5/1/1944 0:00,Siccardi,Alberto,,4/4/2023 5:01,,,1944,5,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1312,2300,Real Estate,Stefan Soloviev,47,United States,Delray Beach,"Real estate, grains",Real Estate,United States,,FALSE,N,M,5/21/1975 0:00,Soloviev,Stefan,,4/4/2023 5:01,Florida,South,1975,5,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Fashion & Retail,Tang Yiu,89,Hong Kong,Hong Kong,Fashion retail,Fashion & Retail,Hong Kong,,TRUE,D,M,4/1/1934 0:00,Tang,Yiu,,4/4/2023 5:01,,,1934,4,1,,,,,,,,,,, +1312,2300,Technology,Tian Ming,69,China,Hefei,Measuring instruments,Technology,China,,TRUE,U,M,12/20/1953 0:00,Tian,Ming,,4/4/2023 5:01,,,1953,12,20,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1312,2300,Finance & Investments,T.Y. Tsai,70,Taiwan,Taipei,Finance,Finance & Investments,Taiwan,,FALSE,D,M,1/1/1953 0:00,Tsai,T.Y.,,4/4/2023 5:01,,,1953,1,1,,,,,,,,,,, +1312,2300,Technology,Jayshree Ullal,62,United States,Saratoga,Computer networking,Technology,United States,Arista,TRUE,U,F,3/27/1961 0:00,Ullal,Jayshree,CEO,4/4/2023 5:01,California,West,1961,3,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1312,2300,Finance & Investments,Georg von Opel,56,United Kingdom,London,"Real estate, investments",Finance & Investments,Switzerland,,FALSE,U,M,5/4/1966 0:00,von Opel,Georg,,4/4/2023 5:01,,,1966,5,4,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1312,2300,Real Estate,Lang Walker,77,Australia,Sydney,Real estate,Real Estate,Australia,,TRUE,U,M,7/5/1945 0:00,Walker,Lang,,4/4/2023 5:01,,,1945,7,5,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1312,2300,Manufacturing,Xicheng Wang & family,74,China,Zhaoyuan,Tires,Manufacturing,China,,TRUE,D,M,11/1/1948 0:00,Wang,Xicheng,,4/4/2023 5:01,,,1948,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1312,2300,Real Estate,Wang Zhenhua,61,China,Shanghai,Real estate,Real Estate,China,,TRUE,D,M,3/1/1962 0:00,Wang,Zhenhua,,4/4/2023 5:01,,,1962,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1312,2300,Food & Beverage,Paul-Heinz Wesjohann & family,79,Germany,Rechterfeld,Chicken processing,Food & Beverage,Germany,,TRUE,D,M,5/25/1943 0:00,Wesjohann,Paul-Heinz,,4/4/2023 5:01,,,1943,5,25,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1312,2300,Fashion & Retail,Xie Bingkun & family,56,China,Fuzhou,Pearlescent pigments,Fashion & Retail,China,,TRUE,U,M,8/25/1966 0:00,Xie,Bingkun,,4/4/2023 5:01,,,1966,8,25,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1312,2300,Manufacturing,Xu Shugen,57,China,Hangzhou,"Construction, mining machinery",Manufacturing,China,,TRUE,U,M,6/12/1965 0:00,Xu,Shugen,,4/4/2023 5:01,,,1965,6,12,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1312,2300,Healthcare,Christoph Zeller,65,Liechtenstein,Vaduz,Dental materials,Healthcare,Liechtenstein,,FALSE,E,M,5/4/1957 0:00,Zeller,Christoph,,4/4/2023 5:01,,,1957,5,4,,,"$6,552,858,739 ",35.6,104.7,83,,21.6,38019,47.1410392,9.520935 +1312,2300,Manufacturing,Zhang Jingzhang & family,87,China,Ningbo,Precision machinery,Manufacturing,China,,TRUE,U,M,1/1/1936 0:00,Zhang,Jingzhang,,4/4/2023 5:01,,,1936,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Real Estate,George Argyros & family,86,United States,Newport Beach,"Real estate, investments",Real Estate,United States,Arnel & Affiliates,TRUE,D,M,2/4/1937 0:00,Argyros,George,Investor,4/4/2023 5:01,California,West,1937,2,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Finance & Investments,Brian Armstrong,40,United States,San Francisco,Cryptocurrency,Finance & Investments,United States,,TRUE,D,M,1/25/1983 0:00,Armstrong,Brian,,4/4/2023 5:01,California,West,1983,1,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Energy,Albert Avdolyan,52,Russia,Moscow,"Oil, mining",Energy,Russia,,TRUE,R,M,11/8/1970 0:00,Avdolyan,Albert,,4/4/2023 5:01,,,1970,11,8,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1368,2200,Diversified,Sezai Bacaksiz,73,Turkey,Ankara,Diversified,Diversified,Turkey,,TRUE,U,M,7/27/1949 0:00,Bacaksiz,Sezai,,4/4/2023 5:01,,,1949,7,27,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1368,2200,Technology,Aneel Bhusri,57,United States,San Francisco,Business software,Technology,United States,Workday,TRUE,D,M,2/4/1966 0:00,Bhusri,Aneel,Investor,4/4/2023 5:01,California,West,1966,2,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Fashion & Retail,Brett Blundy,63,Bahamas,Paradise Island,"Retail, agribusiness",Fashion & Retail,Australia,,TRUE,E,M,1/17/1960 0:00,Blundy,Brett,,4/4/2023 5:01,,,1960,1,17,,,,,,,,,,, +1368,2200,Finance & Investments,J. Hyatt Brown,85,United States,Ormond Beach,Insurance,Finance & Investments,United States,,FALSE,D,M,7/12/1937 0:00,Brown,J. Hyatt,,4/4/2023 5:01,Florida,South,1937,7,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Finance & Investments,Chen Jinxia,55,China,Shanghai,Investments,Finance & Investments,China,,FALSE,D,F,3/28/1968 0:00,Chen,Jinxia,,4/4/2023 5:01,,,1968,3,28,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Healthcare,Chen Xueli,71,China,Weihai,Pharmaceuticals,Healthcare,China,,TRUE,U,M,10/1/1951 0:00,Chen,Xueli,,4/4/2023 5:01,,,1951,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Finance & Investments,Dermot Desmond,72,Ireland,Dublin,Finance,Finance & Investments,Ireland,,TRUE,U,M,7/1/1950 0:00,Desmond,Dermot,,4/4/2023 5:01,,,1950,7,1,,,,,,,,,,, +1368,2200,Healthcare,Dong Wei,52,China,Lianyungang,Pharmaceuticals,Healthcare,China,,TRUE,D,M,1/1/1971 0:00,Dong,Wei,,4/4/2023 5:01,,,1971,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Fashion & Retail,Tom Ford,61,United States,Los Angeles,Fashion,Fashion & Retail,United States,,TRUE,N,M,8/27/1961 0:00,Ford,Tom,,4/4/2023 5:01,California,West,1961,8,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Food & Beverage,Fu Guangming & family,69,China,Nanping,Poultry,Food & Beverage,China,,TRUE,U,M,10/2/1953 0:00,Fu,Guangming,,4/4/2023 5:01,,,1953,10,2,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Finance & Investments,Noam Gottesman,61,United States,New York,Hedge funds,Finance & Investments,United States,TOMS Capital,TRUE,D,M,5/24/1961 0:00,Gottesman,Noam,Chief Executive Officer,4/4/2023 5:01,New York,Northeast,1961,5,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Finance & Investments,Jeffrey Gundlach,64,United States,Los Angeles,Investments,Finance & Investments,United States,DoubleLine Capital,TRUE,E,M,1/1/1959 0:00,Gundlach,Jeffrey,CEO,4/4/2023 5:01,California,West,1959,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Healthcare,Hao Hong,67,China,Tianjin,Pharmaceuticals,Healthcare,United States,,TRUE,D,M,1/1/1956 0:00,Hao,Hong,,4/4/2023 5:01,,,1956,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Automotive,Shmuel Harlap,78,Israel,Tel Aviv,Automotive,Automotive,Israel,,FALSE,U,M,11/13/1944 0:00,Harlap,Shmuel,,4/4/2023 5:01,,,1944,11,13,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +1368,2200,Technology,Hans-Werner Hector,83,Germany,Weinheim,SAP,Technology,Germany,,TRUE,D,M,1/17/1940 0:00,Hector,Hans-Werner,,4/4/2023 5:01,,,1940,1,17,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1368,2200,Healthcare,Lutz Mario Helmig & family,76,Germany,Grebenhain,Hospitals,Healthcare,Germany,,TRUE,U,M,8/29/1946 0:00,Helmig,Lutz Mario,,4/4/2023 5:01,,,1946,8,29,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1368,2200,Real Estate,Chulong Huang,64,China,Shenzhen,Real estate,Real Estate,Canada,,TRUE,D,M,1/1/1959 0:00,Huang,Chulong,,4/4/2023 5:01,,,1959,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Finance & Investments,Thomas James,80,United States,Saint Petersburg,Finance,Finance & Investments,United States,,FALSE,U,M,5/10/1942 0:00,James,Thomas,,4/4/2023 5:01,Florida,South,1942,5,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Fashion & Retail,James Jannard,73,United States,San Juan Islands,Sunglasses,Fashion & Retail,United States,,TRUE,D,M,6/8/1949 0:00,Jannard,James,,4/4/2023 5:01,Washington,West,1949,6,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Automotive,Willis Johnson,75,United States,Franklin,Damaged cars,Automotive,United States,,TRUE,U,M,5/26/1947 0:00,Johnson,Willis,,4/4/2023 5:01,Tennessee,South,1947,5,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Fashion & Retail,Lai Shixian,48,China,Quanzhou,Sports apparel,Fashion & Retail,China,,TRUE,U,M,1/1/1975 0:00,Lai,Shixian,,4/4/2023 5:01,,,1975,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Finance & Investments,Chris Larsen,62,United States,San Francisco,Cryptocurrency,Finance & Investments,United States,,TRUE,D,M,6/15/1960 0:00,Larsen,Chris,,4/4/2023 5:01,California,West,1960,6,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Fashion & Retail,Solomon Lew,78,Australia,Melbourne,Retail,Fashion & Retail,Australia,,TRUE,D,M,3/22/1945 0:00,Lew,Solomon,,4/4/2023 5:01,,,1945,3,22,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1368,2200,Diversified,Liang Xinjun,54,Singapore,Singapore,Conglomerate,Diversified,Singapore,,TRUE,E,M,10/1/1968 0:00,Liang,Xinjun,,4/4/2023 5:01,,,1968,10,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1368,2200,Diversified,Harald Link,68,Thailand,Bangkok,Diversified,Diversified,Thailand,,FALSE,U,M,1/12/1955 0:00,Link,Harald,,4/4/2023 5:01,,,1955,1,12,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1368,2200,Technology,Max Lytvyn,43,United States,San Francisco,Software,Technology,Canada,,TRUE,D,M,1/1/1980 0:00,Lytvyn,Max,,4/4/2023 5:01,California,West,1980,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Energy,Igor Makarov,60,United States,Miami,Investments,Energy,Cyprus,,TRUE,U,M,4/15/1962 0:00,Makarov,Igor,,4/4/2023 5:01,Florida,South,1962,4,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Finance & Investments,Howard Marks,76,United States,New York,Private equity,Finance & Investments,United States,Oaktree Capital Group LLC,TRUE,E,M,4/23/1946 0:00,Marks,Howard,Chairman,4/4/2023 5:01,New York,Northeast,1946,4,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Finance & Investments,Charles Munger,99,United States,Los Angeles,Berkshire Hathaway,Finance & Investments,United States,Berkshire Hathaway Inc. (Cl A),TRUE,D,M,1/1/1924 0:00,Munger,Charles,Vice Chairman,4/4/2023 5:01,California,West,1924,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Real Estate,Adam Neumann,44,United States,Miami,WeWork,Real Estate,Israel,,TRUE,U,M,4/1/1979 0:00,Neumann,Adam,,4/4/2023 5:01,Florida,South,1979,4,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Diversified,Thi Phuong Thao Nguyen,52,Vietnam,Ho Chi Minh City,Airlines,Diversified,Vietnam,Sovico Holdings,TRUE,D,F,6/7/1970 0:00,Nguyen,Thi Phuong Thao,Cofounder and Chairman,4/4/2023 5:01,,,1970,6,7,163.52,2.8,"$261,921,244,843 ",28.5,110.6,75.3,19.1,37.6,96462106,14.058324,108.277199 +1368,2200,Food & Beverage,Ni Yongpei & family,71,China,Liuan,Beverages,Food & Beverage,China,,TRUE,D,M,1/23/1952 0:00,Ni,Yongpei,,4/4/2023 5:01,,,1952,1,23,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Manufacturing,Heloise Pratt,60,Australia,Melbourne,"Manufacturing, investment",Manufacturing,Australia,,FALSE,D,F,9/13/1962 0:00,Pratt,Heloise,,4/4/2023 5:01,,,1962,9,13,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1368,2200,Technology,Qi Xiangdong,52,China,Beijing,Software,Technology,China,,TRUE,U,M,10/1/1970 0:00,Qi,Xiangdong,,4/4/2023 5:01,,,1970,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Technology,Phillip T. (Terry) Ragon,73,United States,Boston,Health IT,Technology,United States,,TRUE,U,M,6/1/1949 0:00,Ragon,Phillip T. (Terry),,4/4/2023 5:01,Massachusetts,Northeast,1949,6,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Healthcare,Prathap Reddy,91,India,Chennai,Healthcare,Healthcare,India,,TRUE,D,M,2/5/1932 0:00,Reddy,Prathap,,4/4/2023 5:01,,,1932,2,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1368,2200,Sports,Jerry Reinsdorf,87,United States,Chicago,Sports teams,Sports,United States,,TRUE,U,M,2/25/1936 0:00,Reinsdorf,Jerry,,4/4/2023 5:01,Illinois,Midwest,1936,2,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Technology,Chad Richison,52,United States,Edmond,Payroll processing,Technology,United States,,TRUE,D,M,10/10/1970 0:00,Richison,Chad,,4/4/2023 5:01,Oklahoma,South,1970,10,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Fashion & Retail,"Karl Scheufele, III. & family",84,Switzerland,Geneva,Jewelry,Fashion & Retail,Switzerland,,TRUE,U,M,1/1/1939 0:00,Scheufele,Karl,,4/4/2023 5:01,,,1939,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1368,2200,Healthcare,Alice Schwartz,96,United States,El Cerrito,Biotech,Healthcare,United States,,TRUE,U,F,7/2/1926 0:00,Schwartz,Alice,,4/4/2023 5:01,California,West,1926,7,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Technology,Alex Shevchenko,43,Canada,,Software,Technology,Canada,,TRUE,D,M,1/1/1980 0:00,Shevchenko,Alex,,4/4/2023 5:01,,,1980,1,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1368,2200,Technology,Kavitark Ram Shriram,66,United States,Menlo Park,"Venture capital, Google",Technology,United States,Sherpalo Ventures,TRUE,D,M,1/21/1957 0:00,Shriram,Kavitark Ram,Investor,4/4/2023 5:01,California,West,1957,1,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Real Estate,Jeffrey Soffer,55,United States,Aventura,Real estate,Real Estate,United States,,FALSE,N,M,12/13/1967 0:00,Soffer,Jeffrey,,4/4/2023 5:01,Florida,South,1967,12,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Technology,William Stone,67,United States,East Lyme,Software,Technology,United States,,TRUE,D,M,4/9/1955 0:00,Stone,William,,4/4/2023 5:01,Connecticut,Northeast,1955,4,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Finance & Investments,Henry Swieca,65,United States,New York,Hedge funds,Finance & Investments,United States,Talpion Fund Management,TRUE,U,M,5/9/1957 0:00,Swieca,Henry,Founder,4/4/2023 5:01,New York,Northeast,1957,5,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Diversified,Harley Sy,63,Philippines,Manila,Diversified,Diversified,Philippines,,FALSE,D,M,6/1/1959 0:00,Sy,Harley,,4/4/2023 5:01,,,1959,6,1,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +1368,2200,Diversified,Teresita Sy-Coson,72,Philippines,Manila,Diversified,Diversified,Philippines,,FALSE,D,F,10/1/1950 0:00,Sy-Coson,Teresita,,4/4/2023 5:01,,,1950,10,1,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +1368,2200,Real Estate,Katsumi Tada,77,Japan,Tokyo,Real estate,Real Estate,Japan,,TRUE,D,M,7/12/1945 0:00,Tada,Katsumi,,4/4/2023 5:01,,,1945,7,12,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1368,2200,Manufacturing,Tang Jinkui & family,67,China,Suzhou,"Textiles, petrochemicals",Manufacturing,China,,TRUE,D,M,9/19/1955 0:00,Tang,Jinkui,,4/4/2023 5:01,,,1955,9,19,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Technology,Tang Xiao'ou,55,China,Shanghai,Software,Technology,Hong Kong,,TRUE,D,M,1/1/1968 0:00,Tang,Xiao'ou,,4/4/2023 5:01,,,1968,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Fashion & Retail,Lottie Tham & family,73,Sweden,Stockholm,H&M,Fashion & Retail,Sweden,,FALSE,D,F,4/18/1949 0:00,Tham,Lottie,,4/4/2023 5:01,,,1949,4,18,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1368,2200,Healthcare,Shamsheer Vayalil,46,United Arab Emirates,Abu Dhabi,Healthcare,Healthcare,India,,FALSE,R,M,1/11/1977 0:00,Vayalil,Shamsheer,,4/4/2023 5:01,,,1977,1,11,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +1368,2200,Technology,Radha Vembu,50,India,Chennai,Business software,Technology,India,,FALSE,U,F,12/24/1972 0:00,Vembu,Radha,,4/4/2023 5:01,,,1972,12,24,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1368,2200,Fashion & Retail,Wang Wenmo,66,China,Quanzhou,Sports apparel,Fashion & Retail,China,,TRUE,U,M,1/1/1957 0:00,Wang,Wenmo,,4/4/2023 5:01,,,1957,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Service,Wang Zhenghua,78,China,Shanghai,Budget airline,Service,China,,TRUE,U,M,4/25/1944 0:00,Wang,Zhenghua,,4/4/2023 5:01,,,1944,4,25,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Food & Beverage,David Wertheim,65,Israel,,Coca-Cola Israel,Food & Beverage,Israel,,FALSE,D,M,1/1/1958 0:00,Wertheim,David,,4/4/2023 5:01,,,1958,1,1,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +1368,2200,Energy,Kai Wu,55,China,Ningde,Batteries,Energy,China,,TRUE,D,M,1/1/1968 0:00,Wu,Kai,,4/4/2023 5:01,,,1968,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Food & Beverage,Xu Yingzhuo,55,China,Guangzhou,Agribusiness,Food & Beverage,China,,TRUE,D,M,1/1/1968 0:00,Xu,Yingzhuo,,4/4/2023 5:01,,,1968,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Manufacturing,Yeung Kin-man,59,Hong Kong,Hong Kong,Electronics,Manufacturing,Hong Kong,,TRUE,D,M,4/1/1964 0:00,Yeung,Kin-man,,4/4/2023 5:01,,,1964,4,1,,,,,,,,,,, +1368,2200,Logistics,Huijiao Yu,57,China,Shanghai,Package delivery,Logistics,China,Shanghai YTO Express (Logistics),TRUE,D,M,4/1/1966 0:00,Yu,Huijiao,Founder and Chairman,4/4/2023 5:01,,,1966,4,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1368,2200,Finance & Investments,Oren Zeev,58,United States,Los Altos,Investments,Finance & Investments,Israel,,TRUE,D,M,9/23/1964 0:00,Zeev,Oren,,4/4/2023 5:01,California,West,1964,9,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1368,2200,Manufacturing,Clayton Zekelman,54,Canada,Windsor,Steel,Manufacturing,Canada,,FALSE,U,M,1/1/1969 0:00,Zekelman,Clayton,,4/4/2023 5:01,,,1969,1,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1368,2200,Energy,Zhao Fenggang,57,China,Ningde,Batteries,Energy,China,,TRUE,D,M,1/1/1966 0:00,Zhao,Fenggang,,4/4/2023 5:01,,,1966,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Metals & Mining,Alex Beard,55,United Kingdom,London,"Mining, commodities",Metals & Mining,United Kingdom,,TRUE,D,M,8/3/1967 0:00,Beard,Alex,,4/4/2023 5:01,,,1967,8,3,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1434,2100,Food & Beverage,Travis Boersma,52,United States,Grants Pass,Coffee,Food & Beverage,United States,,TRUE,D,M,1/1/1971 0:00,Boersma,Travis,,4/4/2023 5:01,Oregon,West,1971,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Construction & Engineering,Martin Bouygues,,France,Paris,"Construction, media",Construction & Engineering,France,,FALSE,Split Family Fortune,M,,Bouygues,Martin,,4/4/2023 5:01,,,,,,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +1434,2100,Construction & Engineering,Olivier Bouygues,72,,,"Construction, media",Construction & Engineering,France,,FALSE,Split Family Fortune,M,9/14/1950 0:00,Bouygues,Olivier,,4/4/2023 5:01,,,1950,9,14,,,,,,,,,,, +1434,2100,Gambling & Casinos,William Boyd & family,91,United States,Las Vegas,"Casinos, banking",Gambling & Casinos,United States,,TRUE,D,M,11/4/1931 0:00,Boyd,William,,4/4/2023 5:01,Nevada,West,1931,11,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Food & Beverage,Anand Burman,70,India,Delhi,Consumer goods,Food & Beverage,India,,FALSE,D,M,5/5/1952 0:00,Burman,Anand,,4/4/2023 5:01,,,1952,5,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1434,2100,Manufacturing,Cao Ji,71,China,Hangzhou,Manufacturing,Manufacturing,China,,TRUE,D,M,1/1/1952 0:00,Cao,Ji,,4/4/2023 5:01,,,1952,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Technology,Bruce Cheng,86,Taiwan,Taipei,Electronics,Technology,Taiwan,,TRUE,E,M,11/3/1936 0:00,Cheng,Bruce,,4/4/2023 5:01,,,1936,11,3,,,,,,,,,,, +1434,2100,Technology,Chi Yufeng,52,China,Beijing,Software,Technology,China,,FALSE,U,M,1/1/1971 0:00,Chi,Yufeng,,4/4/2023 5:01,,,1971,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Energy,Daniel Chiu,62,Hong Kong,Hong Kong,Oil & gas,Energy,Hong Kong,,TRUE,U,M,11/30/1960 0:00,Chiu,Daniel,,4/4/2023 5:01,,,1960,11,30,,,,,,,,,,, +1434,2100,Healthcare,Beda Diethelm,82,Switzerland,Zurich,Hearing aids,Healthcare,Switzerland,,TRUE,D,M,1/1/1941 0:00,Diethelm,Beda,,4/4/2023 5:01,,,1941,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1434,2100,Fashion & Retail,Domenico Dolce,64,Italy,Milan,Luxury goods,Fashion & Retail,Italy,,TRUE,U,M,8/13/1958 0:00,Dolce,Domenico,,4/4/2023 5:01,,,1958,8,13,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1434,2100,Technology,Ralph Dommermuth,59,Germany,Montabaur,Internet service provider,Technology,Germany,,TRUE,D,M,11/19/1963 0:00,Dommermuth,Ralph,,4/4/2023 5:01,,,1963,11,19,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1434,2100,Diversified,Georgi Domuschiev,50,United Kingdom,London,"Animal health, investments",Diversified,Bulgaria,,TRUE,U,M,8/6/1972 0:00,Domuschiev,Georgi,,4/4/2023 5:01,,,1972,8,6,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1434,2100,Diversified,Kiril Domuschiev,53,United Kingdom,London,"Animal health, investments",Diversified,Bulgaria,,TRUE,U,M,4/18/1969 0:00,Domuschiev,Kiril,,4/4/2023 5:01,,,1969,4,18,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1434,2100,Real Estate,Bob Ell,78,Australia,Surfers Paradise,Real estate,Real Estate,Australia,,TRUE,E,M,12/22/1944 0:00,Ell,Bob,,4/4/2023 5:01,,,1944,12,22,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1434,2100,Energy,Paul Foster,65,United States,El Paso,Oil refining,Energy,United States,Western Refining,TRUE,U,M,10/8/1957 0:00,Foster,Paul,Chairman,4/4/2023 5:01,Texas,South,1957,10,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Fashion & Retail,Stefano Gabbana,60,Italy,Milan,Luxury goods,Fashion & Retail,Italy,,TRUE,U,M,11/14/1962 0:00,Gabbana,Stefano,,4/4/2023 5:01,,,1962,11,14,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1434,2100,Manufacturing,Xingjiang Gao,59,China,Huzhou,Steel,Manufacturing,China,,TRUE,D,M,11/1/1963 0:00,Gao,Xingjiang,,4/4/2023 5:01,,,1963,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Energy,Gordon Getty,89,United States,San Francisco,Getty Oil,Energy,United States,Ann & Gordon Getty Foundation,FALSE,E,M,12/20/1933 0:00,Getty,Gordon,President and Chairman,4/4/2023 5:01,California,West,1933,12,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Energy,Kamal Ghaffarian,64,United States,Naples,"Space, energy",Energy,United States,,TRUE,N,M,4/28/1958 0:00,Ghaffarian,Kamal,,4/4/2023 5:01,Florida,South,1958,4,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Healthcare,Dennis Gillings,78,United States,Durham,Clinical trials,Healthcare,United Kingdom,,TRUE,E,M,4/25/1944 0:00,Gillings,Dennis,,4/4/2023 5:01,North Carolina,South,1944,4,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Diversified,Harsh Goenka,65,India,Mumbai,Diversified,Diversified,India,,FALSE,E,M,12/10/1957 0:00,Goenka,Harsh,,4/4/2023 5:01,,,1957,12,10,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1434,2100,Diversified,Sanjiv Goenka,62,India,Kolkata,Diversified,Diversified,India,,FALSE,D,M,1/29/1961 0:00,Goenka,Sanjiv,,4/4/2023 5:01,,,1961,1,29,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1434,2100,Real Estate,Jane Goldman,67,United States,New York,Real estate,Real Estate,United States,,FALSE,D,F,7/29/1955 0:00,Goldman,Jane,,4/4/2023 5:01,New York,Northeast,1955,7,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Fashion & Retail,Stein Erik Hagen,66,Norway,Oslo,Consumer goods,Fashion & Retail,Norway,,TRUE,D,M,7/22/1956 0:00,Hagen,Stein Erik,,4/4/2023 5:01,,,1956,7,22,120.27,2.2,"$403,336,363,636 ",82,100.3,82.8,23.9,36.2,5347896,60.472024,8.468946 +1434,2100,Real Estate,Bahaa Hariri,56,Switzerland,Geneva,"Real estate, investments",Real Estate,Lebanon,,FALSE,E,M,4/26/1966 0:00,Hariri,Bahaa,,4/4/2023 5:01,,,1966,4,26,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1434,2100,Fashion & Retail,Hortensia Herrero,72,Spain,Valencia,Supermarkets,Fashion & Retail,Spain,,FALSE,D,F,5/20/1950 0:00,Herrero,Hortensia,,4/4/2023 5:01,,,1950,5,20,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1434,2100,Diversified,Douglas Hsu,80,Taiwan,Taipei,Diversified,Diversified,Taiwan,,FALSE,D,M,8/24/1942 0:00,Hsu,Douglas,,4/4/2023 5:01,,,1942,8,24,,,,,,,,,,, +1434,2100,Manufacturing,Huang Min,49,China,Suzhou,Machinery,Manufacturing,China,,TRUE,U,M,7/1/1973 0:00,Huang,Min,,4/4/2023 5:01,,,1973,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Technology,Jared Isaacman,40,United States,Easton,Payment processing,Technology,United States,,TRUE,U,M,2/11/1983 0:00,Isaacman,Jared,,4/4/2023 5:01,Pennsylvania,Northeast,1983,2,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Technology,Eugene Kaspersky,57,Russia,Moscow,Software,Technology,Russia,,TRUE,U,M,10/4/1965 0:00,Kaspersky,Eugene,,4/4/2023 5:01,,,1965,10,4,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1434,2100,Fashion & Retail,Artem Khachatryan,48,Cyprus,Limassol,Retail,Fashion & Retail,Russia,,TRUE,R,M,1/3/1975 0:00,Khachatryan,Artem,,4/4/2023 5:01,,,1975,1,3,102.51,0.3,"$24,564,647,935 ",75.9,99.3,80.8,24.5,22.4,1198575,35.126413,33.429859 +1434,2100,Food & Beverage,Andrei Krivenko,47,Russia,Moscow,Retail,Food & Beverage,Russia,,TRUE,N,M,7/25/1975 0:00,Krivenko,Andrei,,4/4/2023 5:01,,,1975,7,25,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1434,2100,Real Estate,Thomas Kwok,71,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,U,M,10/6/1951 0:00,Kwok,Thomas,,4/4/2023 5:01,,,1951,10,6,,,,,,,,,,, +1434,2100,Manufacturing,Lam Wai-ying,,Hong Kong,Hong Kong,Smartphone screens,Manufacturing,Hong Kong,Biel Crystal,TRUE,D,F,,Lam,Wai-ying,Chairman ,4/4/2023 5:01,,,,,,,,,,,,,,,, +1434,2100,Finance & Investments,Marc Lasry,62,United States,New York,Hedge funds,Finance & Investments,United States,Avenue Capital Group,TRUE,U,M,9/23/1960 0:00,Lasry,Marc,Founder,4/4/2023 5:01,New York,Northeast,1960,9,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Finance & Investments,Christian Latouche & family,82,France,Lyon,Accounting services,Finance & Investments,France,,TRUE,D,M,7/18/1940 0:00,Latouche,Christian,,4/4/2023 5:01,,,1940,7,18,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +1434,2100,Sports,Theodore Leonsis,67,United States,Bethesda,Sports teams,Sports,United States,,TRUE,U,M,1/8/1956 0:00,Leonsis,Theodore,,4/4/2023 5:01,Maryland,South,1956,1,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Real Estate,Lin Chang Su-O,82,Taiwan,Taipei,Real estate,Real Estate,Taiwan,,FALSE,D,F,8/1/1940 4:00,Lin,Chang Su-O,,4/4/2023 9:01,,,1940,8,1,,,,,,,,,,, +1434,2100,Manufacturing,Liu Chengyu & family,60,China,Shenzhen,Power supply equipment,Manufacturing,China,,TRUE,U,M,7/26/1962 0:00,Liu,Chengyu,,4/4/2023 5:01,,,1962,7,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Fashion & Retail,Sergey Lomakin,49,Cyprus,Paphos,Retail,Fashion & Retail,Russia,,TRUE,R,M,5/23/1973 0:00,Lomakin,Sergey,,4/4/2023 5:01,,,1973,5,23,102.51,0.3,"$24,564,647,935 ",75.9,99.3,80.8,24.5,22.4,1198575,35.126413,33.429859 +1434,2100,Food & Beverage,Daniel Lubetzky,54,United States,New York,Snack bars,Food & Beverage,United States,,TRUE,D,M,9/28/1968 0:00,Lubetzky,Daniel,,4/4/2023 5:01,New York,Northeast,1968,9,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Technology,Melissa Ma,,China,Beijing,Internet search,Technology,China,,TRUE,U,F,,Ma,Melissa,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Diversified,Anand Mahindra,67,India,Mumbai,Diversified,Diversified,India,,FALSE,U,M,5/1/1955 0:00,Mahindra,Anand,,4/4/2023 5:01,,,1955,5,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1434,2100,Fashion & Retail,Rafique Malik,72,India,Mumbai,Footwear,Fashion & Retail,India,,FALSE,U,M,10/31/1950 0:00,Malik,Rafique,,4/4/2023 5:01,,,1950,10,31,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1434,2100,Diversified,Katarina Martinson,41,Sweden,Stockholm,Investments,Diversified,Sweden,,FALSE,U,F,5/4/1981 0:00,Martinson,Katarina,,4/4/2023 5:01,,,1981,5,4,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1434,2100,Healthcare,Kiran Mazumdar-Shaw,70,India,Bangalore,Biopharmaceuticals,Healthcare,India,Biocon,TRUE,D,F,3/23/1953 0:00,Mazumdar-Shaw,Kiran,Chair,4/4/2023 5:01,,,1953,3,23,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1434,2100,Automotive,Nirmal Minda,65,India,Gurgaon,Auto parts,Automotive,India,,FALSE,D,M,11/7/1957 0:00,Minda,Nirmal,,4/4/2023 5:01,,,1957,11,7,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1434,2100,Technology,Mu Rongjun,43,China,Beijing,E-commerce,Technology,China,,TRUE,D,M,1/1/1980 0:00,Mu,Rongjun,,4/4/2023 5:01,,,1980,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Manufacturing,Eugene Murtagh,80,Ireland,Kingscourt,Building materials,Manufacturing,Ireland,,TRUE,D,M,6/23/1942 0:00,Murtagh,Eugene,,4/4/2023 5:01,,,1942,6,23,,,,,,,,,,, +1434,2100,Finance & Investments,Alexander Nesis,60,Russia,Moscow,"Metals, banking, fertilizers",Finance & Investments,Russia,,TRUE,U,M,12/19/1962 0:00,Nesis,Alexander,,4/4/2023 5:01,,,1962,12,19,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1434,2100,Manufacturing,Zugen Ni,66,China,Suzhou,Appliances,Manufacturing,China,,TRUE,U,M,1/18/1957 0:00,Ni,Zugen,,4/4/2023 5:01,,,1957,1,18,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Construction & Engineering,Florentino Perez,76,Spain,Madrid,Construction,Construction & Engineering,Spain,,TRUE,U,M,3/8/1947 0:00,Perez,Florentino,,4/4/2023 5:01,,,1947,3,8,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1434,2100,Metals & Mining,Victor Pinchuk,62,Ukraine,Kiev,"Steel pipes, diversified",Metals & Mining,Ukraine,,TRUE,U,M,12/14/1960 0:00,Pinchuk,Victor,,4/4/2023 5:01,,,1960,12,14,281.66,7.9,"$153,781,069,118 ",82.7,99,71.6,20.1,45.2,44385155,48.379433,31.16558 +1434,2100,Technology,Leonid Radvinsky,40,United States,,E-commerce,Technology,United States,,TRUE,U,M,5/30/1982 0:00,Radvinsky,Leonid,,4/4/2023 5:01,Florida,South,1982,5,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Technology,Raveendran Byju,41,India,Bangalore,Education technology,Technology,India,,TRUE,D,M,7/6/1981 0:00,Raveendran,Byju,,4/4/2023 5:01,,,1981,7,6,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1434,2100,Construction & Engineering,P.P. Reddy,65,India,Hyderabad,Infrastructure,Construction & Engineering,India,,TRUE,U,M,8/30/1957 0:00,Reddy,P.P.,,4/4/2023 5:01,,,1957,8,30,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1434,2100,Fashion & Retail,Richard Saghian,41,United States,Los Angeles,Fast fashion,Fashion & Retail,United States,,TRUE,U,M,8/6/1981 0:00,Saghian,Richard,,4/4/2023 5:01,California,West,1981,8,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Healthcare,Shi Yifeng,49,China,Beijing,Medical cosmetics,Healthcare,China,,TRUE,U,M,1/1/1974 0:00,Shi,Yifeng,,4/4/2023 5:01,,,1974,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Finance & Investments,Thaksin Shinawatra,73,United Arab Emirates,Dubai,Investments,Finance & Investments,Thailand,,TRUE,U,M,7/26/1949 0:00,Shinawatra,Thaksin,,4/4/2023 5:01,,,1949,7,26,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +1434,2100,Food & Beverage,Shu Ping,53,Singapore,Singapore,Restaurants,Food & Beverage,Singapore,,TRUE,U,F,,Shu,Ping,,4/4/2023 5:01,,,,,,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1434,2100,Healthcare,Timothy Springer,75,United States,Chestnut Hill,Biotech,Healthcare,United States,,TRUE,E,M,2/23/1948 0:00,Springer,Timothy,,4/4/2023 5:01,Massachusetts,Northeast,1948,2,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Automotive,Venu Srinivasan,70,India,Chennai,Two-wheelers,Automotive,India,,FALSE,U,M,12/11/1952 0:00,Srinivasan,Venu,,4/4/2023 5:01,,,1952,12,11,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1434,2100,Fashion & Retail,Edward Stack,68,United States,Sewickley,Dick's Sporting Goods,Fashion & Retail,United States,Dick's Sporting Goods,TRUE,U,M,12/27/1954 0:00,Stack,Edward,Chairman and CEO,4/4/2023 5:01,Pennsylvania,Northeast,1954,12,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Food & Beverage,Sun Mengquan & family,73,China,Yantai,Edible oil,Food & Beverage,China,,TRUE,D,M,3/1/1950 0:00,Sun,Mengquan,,4/4/2023 5:01,,,1950,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Finance & Investments,Alexander Svetakov,55,Russia,Moscow,Real estate,Finance & Investments,Russia,,TRUE,D,M,2/15/1968 0:00,Svetakov,Alexander,,4/4/2023 5:01,,,1968,2,15,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1434,2100,Fashion & Retail,Torsten Toeller,56,Germany,Krefeld,Pet food,Fashion & Retail,Germany,,TRUE,D,M,4/6/1966 0:00,Toeller,Torsten,,4/4/2023 5:01,,,1966,4,6,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1434,2100,Food & Beverage,Barbara Tyson,74,United States,Fayetteville,Food processing,Food & Beverage,United States,,FALSE,N,F,3/6/1949 0:00,Tyson,Barbara,,4/4/2023 5:01,Arkansas,South,1949,3,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Food & Beverage,Hamdi Ulukaya,50,United States,Norwich,Greek yogurt,Food & Beverage,Turkey,Chobani,TRUE,D,M,10/26/1972 0:00,Ulukaya,Hamdi,Founder and CEO,4/4/2023 5:01,New York,Northeast,1972,10,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Construction & Engineering,Wang Linpeng,54,China,Beijing,Furniture retailing,Construction & Engineering,China,,TRUE,D,M,5/1/1968 0:00,Wang,Linpeng,,4/4/2023 5:01,,,1968,5,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Food & Beverage,Wei Ing-Chou,69,China,Tianjin,"Food, beverages",Food & Beverage,Taiwan,,TRUE,U,M,7/1/1953 0:00,Wei,Ing-Chou,,4/4/2023 5:01,,,1953,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Food & Beverage,Wei Yin-Chun,66,Taiwan,Taipei,"Food, beverages",Food & Beverage,Taiwan,,TRUE,U,M,3/8/1957 0:00,Wei,Yin-Chun,,4/4/2023 5:01,,,1957,3,8,,,,,,,,,,, +1434,2100,Food & Beverage,Wei Yin-Heng,64,China,Shanghai,"Food, beverages",Food & Beverage,Taiwan,,TRUE,U,M,1/1/1959 0:00,Wei,Yin-Heng,,4/4/2023 5:01,,,1959,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Food & Beverage,Wei Ying-Chiao,68,Taiwan,Taipei,"Food, beverages",Food & Beverage,Taiwan,,TRUE,U,M,2/4/1955 0:00,Wei,Ying-Chiao,,4/4/2023 5:01,,,1955,2,4,,,,,,,,,,, +1434,2100,Gambling & Casinos,Elaine Wynn,80,United States,Las Vegas,"Casinos, hotels",Gambling & Casinos,United States,"Wynn Las Vegas, LLC",TRUE,U,F,4/28/1942 0:00,Wynn,Elaine,Board Member,4/4/2023 5:01,Nevada,West,1942,4,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1434,2100,Automotive,Xu Xudong & family,53,China,Ningbo,Auto parts,Automotive,China,,TRUE,U,M,3/1/1970 0:00,Xu,Xudong,,4/4/2023 5:01,,,1970,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Fashion & Retail,Michael Ying,73,Hong Kong,Hong Kong,Retail,Fashion & Retail,Hong Kong,,TRUE,U,M,12/1/1949 0:00,Ying,Michael,,4/4/2023 5:01,,,1949,12,1,,,,,,,,,,, +1434,2100,Manufacturing,Yu Qibing & family,57,China,Ningbo,Glass,Manufacturing,China,,TRUE,D,M,11/1/1965 0:00,Yu,Qibing,,4/4/2023 5:01,,,1965,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Manufacturing,Yuan Fugen & family,72,China,Suzhou,Metal processing,Manufacturing,China,,TRUE,U,M,11/15/1950 0:00,Yuan,Fugen,,4/4/2023 5:01,,,1950,11,15,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Manufacturing,Zhang Ning & family,49,China,Shanghai,Chemicals,Manufacturing,Canada,,TRUE,D,F,4/1/1974 0:00,Zhang,Ning,,4/4/2023 5:01,,,1974,4,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1434,2100,Healthcare,Zhao Tao,57,China,Xi'an,Pharmaceuticals,Healthcare,Singapore,,FALSE,D,M,1/1/1966 0:00,Zhao,Tao,,4/4/2023 5:01,,,1966,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Construction & Engineering,Anu Aga,80,India,Pune,Engineering,Construction & Engineering,India,,FALSE,U,F,8/1/1942 0:00,Aga,Anu,,4/4/2023 5:01,,,1942,8,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1516,2000,Fashion & Retail,Mohamed Al Fayed,94,United Kingdom,London,"Retail, investments",Fashion & Retail,Egypt,,TRUE,D,M,1/27/1929 0:00,Al Fayed,Mohamed,,4/4/2023 5:01,,,1929,1,27,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1516,2000,Technology,Andrey Andreev,49,United Kingdom,London,Online dating,Technology,United Kingdom,,TRUE,E,M,2/3/1974 0:00,Andreev,Andrey,,4/4/2023 5:01,,,1974,2,3,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1516,2000,Finance & Investments,Michael Ashcroft,77,Turks and Caicos Islands,Turks and Caicos Islands,Security,Finance & Investments,United Kingdom,,TRUE,D,M,1/1/1946 0:00,Ashcroft,Michael,,4/4/2023 5:01,,,1946,1,1,,,,,,,,,,, +1516,2000,Technology,Pavel Baudis,62,Czech Republic,Prague,Software,Technology,Czech Republic,,TRUE,D,M,5/15/1960 0:00,Baudis,Pavel,,4/4/2023 5:01,,,1960,5,15,116.48,2.8,"$246,489,245,495 ",64.1,100.7,79,14.9,46.1,10669709,49.817492,15.472962 +1516,2000,Healthcare,Wilhelm Beier & family,66,Germany,,Pharmaceuticals,Healthcare,Germany,,TRUE,D,M,4/21/1956 0:00,Beier,Wilhelm,,4/4/2023 5:01,,,1956,4,21,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1516,2000,Manufacturing,Cao Jianwei,44,China,Shangyu,Semiconductors,Manufacturing,China,,TRUE,E,M,5/30/1978 0:00,Cao,Jianwei,,4/4/2023 5:01,,,1978,5,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Manufacturing,Huwen Chen,52,China,Shanghai,Stationery,Manufacturing,China,,TRUE,D,M,7/1/1970 0:00,Chen,Huwen,,4/4/2023 5:01,,,1970,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Diversified,Phongthep Chiaravanont,71,Thailand,Bangkok,Diversified,Diversified,Thailand,,FALSE,U,M,1/1/1952 0:00,Chiaravanont,Phongthep,,4/4/2023 5:01,,,1952,1,1,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1516,2000,Diversified,Dou Zhenggang,69,China,Hangzhou,"Energy, chemicals",Diversified,China,,TRUE,D,M,5/21/1953 0:00,Dou,Zhenggang,,4/4/2023 5:01,,,1953,5,21,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Food & Beverage,Maria Franca Fissolo,88,Monaco,Monaco,"Nutella, chocolates",Food & Beverage,Italy,,FALSE,E,F,1/1/1935 0:00,Fissolo,Maria Franca,,4/4/2023 5:01,,,1935,1,1,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +1516,2000,Diversified,William Franke,85,United States,Houston,Low-cost airlines,Diversified,United States,,TRUE,D,M,4/15/1937 0:00,Franke,William,,4/4/2023 5:01,Texas,South,1937,4,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Healthcare,Mario Germano Giuliani,51,Monaco,Monaco,Pharmaceuticals,Healthcare,Switzerland,,FALSE,D,M,2/26/1972 0:00,Giuliani,Mario Germano,,4/4/2023 5:01,,,1972,2,26,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +1516,2000,Real Estate,Amy Goldman Fowler,68,United States,Rhinebeck,Real estate,Real Estate,United States,,FALSE,D,F,4/19/1954 0:00,Goldman Fowler,Amy,,4/4/2023 5:01,New York,Northeast,1954,4,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Metals & Mining,John Hancock,47,United Kingdom,London,Mining,Metals & Mining,Australia,,FALSE,D,M,1/2/1976 0:00,Hancock,John,,4/4/2023 5:01,,,1976,1,2,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1516,2000,Technology,Hu Yangzhong,58,China,Hangzhou,Technology,Technology,China,,TRUE,D,M,3/6/1965 0:00,Hu,Yangzhong,,4/4/2023 5:01,,,1965,3,6,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Manufacturing,Huang Dawen,62,Hong Kong,Hong Kong,Silicon,Manufacturing,Hong Kong,,TRUE,D,M,11/1/1960 0:00,Huang,Dawen,,4/4/2023 5:01,,,1960,11,1,,,,,,,,,,, +1516,2000,Media & Entertainment,Huang Qiaoling,64,China,Hangzhou,Amusement parks,Media & Entertainment,China,,TRUE,U,M,11/15/1958 0:00,Huang,Qiaoling,,4/4/2023 5:01,,,1958,11,15,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Finance & Investments,Rajiv Jain,55,United States,Fort Lauderdale,Finance,Finance & Investments,United States,,TRUE,N,M,1/27/1968 0:00,Jain,Rajiv,,4/4/2023 5:01,Florida,South,1968,1,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Sports,Michael Jordan,60,United States,Jupiter,"Charlotte Hornets, endorsements",Sports,United States,,TRUE,U,M,2/17/1963 0:00,Jordan,Michael,Athlete,4/4/2023 5:01,Florida,South,1963,2,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Real Estate,Diane Kemper,77,United States,New York,Real estate,Real Estate,United States,,FALSE,D,F,7/21/1945 0:00,Kemper,Diane,,4/4/2023 5:01,New York,Northeast,1945,7,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Technology,Shlomo Kramer,57,Israel,Tel Aviv,"Software, investments",Technology,Israel,,TRUE,D,M,3/14/1966 0:00,Kramer,Shlomo,,4/4/2023 5:01,,,1966,3,14,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +1516,2000,Healthcare,Heikki Kyostila,77,Finland,Helsinki,Dental products,Healthcare,Finland,,TRUE,U,M,1/19/1946 0:00,Kyostila,Heikki,,4/4/2023 5:01,,,1946,1,19,112.33,1,"$268,761,201,365 ",88.2,100.2,81.7,20.8,36.6,5520314,61.92411,25.748151 +1516,2000,Technology,Martin Lau,50,Hong Kong,Hong Kong,E-commerce,Technology,Hong Kong,,TRUE,D,M,4/1/1973 0:00,Lau,Martin,,4/4/2023 5:01,,,1973,4,1,,,,,,,,,,, +1516,2000,Technology,Li Min,57,China,Fuzhou,Semiconductor,Technology,China,,TRUE,D,M,12/26/1965 0:00,Li,Min,,4/4/2023 5:01,,,1965,12,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Technology,Liang Rubo,40,China,Beijing,TikTok,Technology,China,,TRUE,D,M,1/1/1983 0:00,Liang,Rubo,,4/4/2023 5:01,,,1983,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Manufacturing,Liang Zhaoxian,58,China,Foshan,Appliances,Manufacturing,China,,FALSE,D,M,1/1/1965 0:00,Liang,Zhaoxian,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Energy,Lin Fanlian,61,China,Linyi,"Energy, real estate",Energy,China,,TRUE,D,M,6/1/1961 0:00,Lin,Fanlian,,4/4/2023 5:01,,,1961,6,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Manufacturing,Aloke Lohia,64,Thailand,Bangkok,Petrochemicals,Manufacturing,India,,FALSE,D,M,11/27/1958 0:00,Lohia,Aloke,,4/4/2023 5:01,,,1958,11,27,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1516,2000,Real Estate,Bill Malhotra,73,Canada,Ottawa,Real estate,Real Estate,Canada,,TRUE,U,M,9/8/1949 0:00,Malhotra,Bill,,4/4/2023 5:01,,,1949,9,8,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1516,2000,Finance & Investments,Alexander Mamut,63,Israel,Tel Aviv,Investments,Finance & Investments,Russia,,TRUE,D,M,1/29/1960 0:00,Mamut,Alexander,,4/4/2023 5:01,,,1960,1,29,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +1516,2000,Telecom,Craig McCaw,73,United States,Hunts Point,Telecom,Telecom,United States,,FALSE,D,M,8/11/1949 0:00,McCaw,Craig,,4/4/2023 5:01,Washington,West,1949,8,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Manufacturing,Cunhui Nan,59,China,Wenzhou,Power equipment,Manufacturing,China,,TRUE,D,M,7/9/1963 0:00,Nan,Cunhui,,4/4/2023 5:01,,,1963,7,9,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Service,Tengyun Nie & family,47,China,Shanghai,Logistics,Service,China,,TRUE,D,M,1/24/1976 0:00,Nie,Tengyun,,4/4/2023 5:01,,,1976,1,24,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Finance & Investments,Oei Hong Leong,75,Singapore,Singapore,Investments,Finance & Investments,Singapore,,FALSE,U,M,3/21/1948 0:00,Oei,Hong Leong,,4/4/2023 5:01,,,1948,3,21,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1516,2000,Metals & Mining,Clive Palmer,69,Australia,Brisbane,Mining,Metals & Mining,Australia,,TRUE,D,M,3/26/1954 0:00,Palmer,Clive,,4/4/2023 5:01,,,1954,3,26,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1516,2000,Technology,Matthew Prince,48,United States,Park City,Cybersecurity,Technology,United States,,TRUE,D,M,1/1/1975 0:00,Prince,Matthew,,4/4/2023 5:01,Utah,West,1975,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Service,Linda Pritzker,69,United States,Missoula,"Hotels, investments",Service,United States,,FALSE,E,F,9/14/1953 0:00,Pritzker,Linda,,4/4/2023 5:01,Montana,West,1953,9,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Construction & Engineering,P.V. Krishna Reddy,53,India,Hyderabad,Infrastructure,Construction & Engineering,India,,TRUE,U,M,6/30/1969 0:00,Reddy,P.V. Krishna,,4/4/2023 5:01,,,1969,6,30,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1516,2000,Metals & Mining,Bianca Rinehart,46,Australia,Brisbane,Mining,Metals & Mining,Australia,,FALSE,D,F,3/19/1977 0:00,Rinehart,Bianca,,4/4/2023 5:01,,,1977,3,19,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1516,2000,Metals & Mining,Ginia Rinehart,36,Australia,Sydney,Mining,Metals & Mining,Australia,,FALSE,D,F,9/6/1986 0:00,Rinehart,Ginia,,4/4/2023 5:01,,,1986,9,6,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1516,2000,Finance & Investments,T. Denny Sanford,87,United States,Sioux Falls,"Banking, credit cards",Finance & Investments,United States,,TRUE,D,M,12/23/1935 0:00,Sanford,T. Denny,,4/4/2023 5:01,South Dakota,Midwest,1935,12,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Manufacturing,Bhadresh Shah,71,India,Ahmedabad,Engineering,Manufacturing,India,,TRUE,U,M,10/7/1951 0:00,Shah,Bhadresh,,4/4/2023 5:01,,,1951,10,7,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1516,2000,Media & Entertainment,Zygmunt Solorz-Zak,66,Poland,Warsaw,TV broadcasting,Media & Entertainment,Poland,,TRUE,D,M,8/4/1956 0:00,Solorz-Zak,Zygmunt,,4/4/2023 5:01,,,1956,8,4,114.11,2.2,"$592,164,400,688 ",67.8,100,77.6,17.4,40.8,37970874,51.919438,19.145136 +1516,2000,Manufacturing,Michal Strnad,30,,,Defense Contracting,Manufacturing,Czech Republic,,FALSE,N,M,8/4/1992 0:00,Strnad ,Michal,,4/4/2023 5:01,,,1992,8,4,,,,,,,,,,, +1516,2000,Fashion & Retail,Sylvia Stroeher,67,Germany,Darmstadt,Cosmetics,Fashion & Retail,Germany,,FALSE,E,F,5/30/1955 0:00,Stroeher,Sylvia,,4/4/2023 5:01,,,1955,5,30,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1516,2000,Technology,Otto Toto Sugiri,69,Indonesia,Jakarta,Data centers,Technology,Indonesia,,TRUE,D,M,9/23/1953 0:00,Sugiri,Otto Toto,,4/4/2023 5:01,,,1953,9,23,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +1516,2000,Sports,Larry Tanenbaum,77,Canada,Toronto,Sports,Sports,Canada,,TRUE,N,M,7/1/1945 0:00,Tanenbaum,Larry,,4/4/2023 5:01,,,1945,7,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1516,2000,Finance & Investments,Wichai Thongtang,76,Thailand,Bangkok,Investments,Finance & Investments,Thailand,,TRUE,E,M,1/1/1947 0:00,Thongtang,Wichai,,4/4/2023 5:01,,,1947,1,1,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1516,2000,Finance & Investments,Ion Tiriac,83,Romania,Bucharest,"Banking, insurance",Finance & Investments,Romania,,TRUE,U,M,5/9/1939 0:00,Tiriac,Ion,,4/4/2023 5:01,,,1939,5,9,123.78,3.8,"$250,077,444,017 ",49.4,85.2,75.4,14.6,20,19356544,45.943161,24.96676 +1516,2000,Metals & Mining,Hope Welker,37,United States,New York,Mining,Metals & Mining,Australia,,FALSE,D,F,8/13/1985 0:00,Welker,Hope,,4/4/2023 5:01,New York,Northeast,1985,8,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Manufacturing,William Young,82,United States,Ypsilanti,Plastics,Manufacturing,United States,,TRUE,D,M,1/1/1941 0:00,Young,William,,4/4/2023 5:01,Michigan,Midwest,1941,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1516,2000,Fashion & Retail,Ales Zavoral,46,,,E-commerce,Fashion & Retail,Czech Republic,,TRUE,N,M,10/24/1976 0:00,Zavoral,Ales,,4/4/2023 5:01,,,1976,10,24,,,,,,,,,,, +1516,2000,Technology,Zhang Fan,57,China,Shenzhen,Touch screens,Technology,China,,TRUE,D,M,12/29/1965 0:00,Zhang,Fan,,4/4/2023 5:01,,,1965,12,29,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Technology,Shilong Zhang & family,57,China,Beijing,Semiconductor,Technology,China,,TRUE,D,M,1/1/1966 0:00,Zhang,Shilong,,4/4/2023 5:01,,,1966,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Manufacturing,Zhang Wanzhen,73,China,Chaozhou,Electronics components,Manufacturing,China,,TRUE,D,M,12/1/1949 0:00,Zhang,Wanzhen,,4/4/2023 5:01,,,1949,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Technology,Hongfei Zhao,48,China,Beijing,Software,Technology,China,,TRUE,D,M,6/1/1974 0:00,Zhao,Hongfei,,4/4/2023 5:01,,,1974,6,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Energy,Zhou Jian,46,China,Shenzhen,Solar energy equipment,Energy,China,,TRUE,D,M,7/1/1976 0:00,Zhou,Jian,,4/4/2023 5:01,,,1976,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1516,2000,Healthcare,Zhu Yiwen & family,59,China,Shanghai,Healthcare,Healthcare,China,,TRUE,U,M,1/1/1964 0:00,Zhu,Yiwen,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Diversified,Roberto Angelini Rossi,74,Chile,Santiago,"Forestry, mining",Diversified,Chile,,FALSE,U,M,7/30/1948 0:00,Angelini Rossi,Roberto,,4/4/2023 5:01,,,1948,7,30,131.91,2.6,"$282,318,159,745 ",88.5,101.4,80,18.2,34,18952038,-35.675147,-71.542969 +1575,1900,Energy,Mika Anttonen,56,Finland,Helsinki,Oil & gas,Energy,Finland,,TRUE,U,M,12/18/1966 0:00,Anttonen,Mika,,4/4/2023 5:01,,,1966,12,18,112.33,1,"$268,761,201,365 ",88.2,100.2,81.7,20.8,36.6,5520314,61.92411,25.748151 +1575,1900,Sports,David Blitzer,53,United States,New York,Sports,Sports,United States,,TRUE,N,M,9/7/1969 0:00,Blitzer,David,,4/4/2023 5:01,New York,Northeast,1969,9,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Finance & Investments,Julio Bozano,87,Brazil,Rio de Janeiro,Banking,Finance & Investments,Brazil,,TRUE,D,M,2/1/1936 0:00,Bozano,Julio,,4/4/2023 5:01,,,1936,2,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1575,1900,Energy,Nikolai Buinov,55,Russia,Irkutsk,"Oil, gas",Energy,Russia,,TRUE,U,M,7/9/1967 0:00,Buinov,Nikolai,,4/4/2023 5:01,,,1967,7,9,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1575,1900,Fashion & Retail,Nicola Bulgari,82,Italy,Rome,Luxury goods,Fashion & Retail,Italy,,FALSE,E,M,1/16/1941 0:00,Bulgari,Nicola,,4/4/2023 5:01,,,1941,1,16,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1575,1900,Fashion & Retail,"Howard Butt, III. & family",71,United States,San Antonio,Supermarkets,Fashion & Retail,United States,,FALSE,N,M,4/4/1952 0:00,Butt,Howard,,4/4/2023 5:01,Texas,South,1952,4,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Fashion & Retail,Stephen Butt & family,67,,,Supermarkets,Fashion & Retail,United States,,FALSE,N,M,5/24/1955 0:00,Butt,Stephen,,4/4/2023 5:01,,,1955,5,24,,,,,,,,,,, +1575,1900,Fashion & Retail,Jianxing Che,56,China,Shanghai,Furniture retailing,Fashion & Retail,China,,TRUE,D,M,7/18/1966 0:00,Che,Jianxing,,4/4/2023 5:01,,,1966,7,18,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Manufacturing,Huxiong Chen,52,China,Shanghai,Stationery,Manufacturing,China,,TRUE,D,M,7/1/1970 0:00,Chen,Huxiong,,4/4/2023 5:01,,,1970,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Energy,Chen Qiongxiang,,China,Ningde,Batteries,Energy,China,,TRUE,D,F,,Chen,Qiongxiang,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Technology,Chen Zhisong,57,China,Xiamen,Communication equipment,Technology,China,,TRUE,D,M,1/7/1966 0:00,Chen,Zhisong,,4/4/2023 5:01,,,1966,1,7,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Diversified,Manas Chiaravanond,,Thailand,Bangkok,Diversified,Diversified,Thailand,,FALSE,U,M,,Chiaravanond,Manas,,4/4/2023 5:01,,,,,,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1575,1900,Diversified,Prathip Chiravanond,74,Thailand,Bangkok,Diversified,Diversified,Thailand,,FALSE,R,M,10/21/1948 0:00,Chiravanond,Prathip,,4/4/2023 5:01,,,1948,10,21,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1575,1900,Food & Beverage,Alexandra Daitch,60,United States,Old Lyme,Cargill,Food & Beverage,United States,,FALSE,D,F,1/1/1963 0:00,Daitch,Alexandra,,4/4/2023 5:01,Connecticut,Northeast,1963,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Food & Beverage,Sol Daurella,57,Spain,Madrid,Coca-Cola bottler,Food & Beverage,Spain,,FALSE,U,F,1/1/1966 0:00,Daurella,Sol,,4/4/2023 5:01,,,1966,1,1,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1575,1900,Sports,Mark Davis,67,United States,Henderson,Las Vegas Raiders,Sports,United States,,FALSE,N,M,5/18/1955 0:00,Davis,Mark,,4/4/2023 5:01,Nevada,West,1955,5,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Finance & Investments,James Dinan,63,United States,North Salem,Hedge funds,Finance & Investments,United States,York Capital Management,TRUE,E,M,5/22/1959 0:00,Dinan,James,Founder,4/4/2023 5:01,New York,Northeast,1959,5,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Healthcare,Dong Fan,53,China,Zhuhai,Medical devices,Healthcare,China,,TRUE,D,M,,Dong,Fan,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Automotive,Fritz Draexlmaier,,Germany,Landshut,Auto parts,Automotive,Germany,,FALSE,U,M,,Draexlmaier,Fritz,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1575,1900,Diversified,Bulent Eczacibasi,73,Turkey,Istanbul,"Pharmaceuticals, diversified",Diversified,Turkey,,FALSE,U,M,12/25/1949 0:00,Eczacibasi,Bulent,,4/4/2023 5:01,,,1949,12,25,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1575,1900,Diversified,Faruk Eczacibasi,68,Turkey,Istanbul,"Pharmaceuticals, diversified",Diversified,Turkey,,FALSE,U,M,6/15/1954 0:00,Eczacibasi,Faruk,,4/4/2023 5:01,,,1954,6,15,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1575,1900,Diversified,Eduardo Eurnekian,90,Argentina,Buenos Aires,"Airports, investments",Diversified,Argentina,,TRUE,U,M,12/4/1932 0:00,Eurnekian,Eduardo,,4/4/2023 5:01,,,1932,12,4,232.75,53.5,"$449,663,446,954 ",90,109.7,76.5,10.1,106.3,44938712,-38.416097,-63.616672 +1575,1900,Real Estate,David Fong,65,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,N,M,5/29/1957 0:00,Fong,David,,4/4/2023 5:01,,,1957,5,29,,,,,,,,,,, +1575,1900,Fashion & Retail,Guo Zhenyu & family,59,China,Kunming,Cosmetics,Fashion & Retail,Canada,,TRUE,D,M,11/1/1963 0:00,Guo,Zhenyu,,4/4/2023 5:01,,,1963,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Manufacturing,Surjit Kumar Gupta,81,India,Delhi,Electrical equipment,Manufacturing,India,,FALSE,U,M,1/13/1942 0:00,Gupta,Surjit Kumar,,4/4/2023 5:01,,,1942,1,13,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1575,1900,Diversified,Caroline Hagen Kjos,39,Switzerland,Wollerau,Conglomerate,Diversified,Norway,,FALSE,D,F,1/1/1984 0:00,Hagen Kjos,Caroline,,4/4/2023 5:01,,,1984,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1575,1900,Finance & Investments,Roberto Hernandez Ramirez,81,Mexico,Mexico City,"Banking, investments",Finance & Investments,Mexico,,TRUE,E,M,3/24/1942 0:00,Hernandez Ramirez,Roberto,,4/4/2023 5:01,,,1942,3,24,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +1575,1900,Technology,Reid Hoffman,55,United States,Palo Alto,LinkedIn,Technology,United States,Greylock,TRUE,D,M,8/5/1967 0:00,Hoffman,Reid,Partner,4/4/2023 5:01,California,West,1967,8,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Manufacturing,Hu Rongda & family,64,China,Jinhua,Chemicals,Manufacturing,China,,TRUE,U,M,1/1/1959 0:00,Hu,Rongda,,4/4/2023 5:01,,,1959,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Real Estate,"B. Wayne Hughes, Jr.",63,United States,Jackson,Storage facilities,Real Estate,United States,,FALSE,D,M,5/27/1959 0:00,Hughes,B. Wayne,,4/4/2023 5:01,Wyoming,South,1959,5,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Real Estate,Hui Wing Mau,72,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,TRUE,D,M,7/1/1950 0:00,Hui,Wing Mau,,4/4/2023 5:01,,,1950,7,1,,,,,,,,,,, +1575,1900,Finance & Investments,Scott Kapnick,64,United States,Naples,Private equity,Finance & Investments,United States,,TRUE,U,M,2/9/1959 0:00,Kapnick,Scott,Investor,4/4/2023 5:01,Florida,South,1959,2,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Finance & Investments,Richard Kayne,77,United States,Santa Monica,Investments,Finance & Investments,United States,,TRUE,U,M,1/1/1946 0:00,Kayne,Richard,,4/4/2023 5:01,California,West,1946,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Finance & Investments,Dominika Kulczyk,45,United Kingdom,London,Diversified,Finance & Investments,Poland,,FALSE,U,F,7/30/1977 0:00,Kulczyk,Dominika,,4/4/2023 5:01,,,1977,7,30,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1575,1900,Finance & Investments,Edward Lampert,60,United States,Miami Beach,Sears,Finance & Investments,United States,ESL Investments Inc.,TRUE,U,M,7/19/1962 0:00,Lampert,Edward,Founder,4/4/2023 5:01,Florida,South,1962,7,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Diversified,Somsri Lamsam,,Thailand,Bangkok,Diversified,Diversified,Thailand,,FALSE,N,M,,Lamsam,Somsri,,4/4/2023 5:01,,,,,,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1575,1900,Food & Beverage,James Leprino,85,United States,Indian Hills,Cheese,Food & Beverage,United States,Leprino Foods,FALSE,D,M,11/22/1937 0:00,Leprino,James,Chairman,4/4/2023 5:01,Colorado,West,1937,11,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Real Estate,David Lichtenstein,61,United States,Monsey,Real estate,Real Estate,United States,,TRUE,E,M,11/21/1961 0:00,Lichtenstein,David,,4/4/2023 5:01,New York,Northeast,1961,11,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Real Estate,Lin Dingqiang & family,56,China,Beijing,Real estate,Real Estate,Hong Kong,,TRUE,E,M,10/1/1966 0:00,Lin,Dingqiang,,4/4/2023 5:01,,,1966,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Food & Beverage,Sarah MacMillan,69,United States,Los Angeles,Cargill,Food & Beverage,United States,,FALSE,D,F,1/1/1954 0:00,MacMillan,Sarah,,4/4/2023 5:01,California,West,1954,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Telecom,Strive Masiyiwa,62,United Kingdom,London,Telecom,Telecom,Zimbabwe,,TRUE,D,M,1/29/1961 0:00,Masiyiwa,Strive,,4/4/2023 5:01,,,1961,1,29,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1575,1900,Fashion & Retail,Robert Miller,89,Hong Kong,Hong Kong,Retail,Fashion & Retail,United Kingdom,,TRUE,D,M,5/23/1933 0:00,Miller,Robert,,4/4/2023 5:01,,,1933,5,23,,,,,,,,,,, +1575,1900,Technology,Simon Nixon,55,United Kingdom,"St. Brelade, Jersey",Price comparison website,Technology,United Kingdom,,TRUE,U,M,8/1/1967 0:00,Nixon,Simon,,4/4/2023 5:01,,,1967,8,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1575,1900,Food & Beverage,Kentaro Ogawa,74,Japan,Tokyo,Restaurants,Food & Beverage,Japan,,TRUE,U,M,7/1/1948 0:00,Ogawa,Kentaro,,4/4/2023 5:01,,,1948,7,1,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1575,1900,Manufacturing,Ajay Parekh,65,India,Mumbai,Adhesives,Manufacturing,India,,FALSE,D,M,6/23/1957 0:00,Parekh,Ajay,,4/4/2023 5:01,,,1957,6,23,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1575,1900,Manufacturing,Narendrakumar Parekh,84,India,Mumbai,Adhesives,Manufacturing,India,,FALSE,D,M,4/17/1938 0:00,Parekh,Narendrakumar,,4/4/2023 5:01,,,1938,4,17,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1575,1900,Finance & Investments,Jennifer Pritzker,72,United States,Chicago,"Hotels, investments",Finance & Investments,United States,Tawani Enterprises,FALSE,D,F,8/13/1950 0:00,Pritzker,Jennifer,CEO,4/4/2023 5:01,Illinois,Midwest,1950,8,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Fashion & Retail,G. Rajendran,80,India,Chennai,Jewellery,Fashion & Retail,India,,TRUE,U,M,10/5/1942 0:00,Rajendran,G.,,4/4/2023 5:01,,,1942,10,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1575,1900,Manufacturing,Ren Jianhua,66,China,Hangzhou,Kitchen appliances,Manufacturing,China,,TRUE,D,M,8/1/1956 0:00,Ren,Jianhua,,4/4/2023 5:01,,,1956,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Finance & Investments,Larry Robbins,53,United States,Alpine,Hedge funds,Finance & Investments,United States,Glenview Capital Management,TRUE,E,M,10/21/1969 0:00,Robbins,Larry,Investor,4/4/2023 5:01,New Jersey,Northeast,1969,10,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Construction & Engineering,Dwight Schar,81,United States,Palm Beach,"Homebuilding, NFL team",Construction & Engineering,United States,,TRUE,E,M,2/8/1942 0:00,Schar,Dwight,,4/4/2023 5:01,Florida,South,1942,2,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Energy,Shao Jianxiong,,China,Hangzhou,Photovoltaics,Energy,China,,TRUE,U,M,,Shao,Jianxiong,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Manufacturing,Qinxiang Shao,68,China,Hangzhou,Diversified,Manufacturing,China,,TRUE,U,M,9/1/1954 0:00,Shao,Qinxiang,,4/4/2023 5:01,,,1954,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Technology,Hua Shen,60,China,Jiaxing,Semiconductors,Technology,United States,,TRUE,D,M,1/1/1963 0:00,Shen,Hua,,4/4/2023 5:01,,,1963,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Manufacturing,Shi Wen-long,95,Taiwan,Tainan,Plastics,Manufacturing,Taiwan,,TRUE,D,M,2/1/1928 0:00,Shi,Wen-long,,4/4/2023 5:01,,,1928,2,1,,,,,,,,,,, +1575,1900,Finance & Investments,Peter Sondakh,73,Indonesia,Surabaya,Investments,Finance & Investments,Indonesia,,TRUE,D,M,2/26/1950 0:00,Sondakh,Peter,,4/4/2023 5:01,,,1950,2,26,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +1575,1900,Food & Beverage,Lucy Stitzer,63,United States,Greenwich,Cargill,Food & Beverage,United States,,FALSE,D,F,1/1/1960 0:00,Stitzer,Lucy,,4/4/2023 5:01,Connecticut,Northeast,1960,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Diversified,Elizabeth Sy,70,Philippines,Manila,Diversified,Diversified,Philippines,,FALSE,D,F,6/1/1952 0:00,Sy,Elizabeth,,4/4/2023 5:01,,,1952,6,1,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +1575,1900,Manufacturing,Hermanto Tanoko,60,Indonesia,Surabaya,Paints,Manufacturing,Indonesia,,FALSE,Split Family Fortune,M,9/17/1962 0:00,Tanoko,Hermanto,,4/4/2023 5:01,,,1962,9,17,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +1575,1900,Construction & Engineering,Mehmet Sinan Tara,64,Turkey,Istanbul,Construction,Construction & Engineering,Turkey,,FALSE,U,M,5/24/1958 0:00,Tara,Mehmet Sinan,,4/4/2023 5:01,,,1958,5,24,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1575,1900,Fashion & Retail,Masateru Uno & family,76,Japan,Fukuoka,Drugstores,Fashion & Retail,Japan,,TRUE,D,M,2/6/1947 0:00,Uno,Masateru,,4/4/2023 5:01,,,1947,2,6,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1575,1900,Energy,Vardis Vardinoyannis & family,90,Greece,Athens,Oil and gas,Energy,Greece,,TRUE,U,M,1/1/1933 0:00,Vardinoyannis & family,Vardis,,4/4/2023 5:01,,,1933,1,1,101.87,0.2,"$209,852,761,469 ",136.6,99.6,81.3,26.2,51.9,10716322,39.074208,21.824312 +1575,1900,Real Estate,Jitendra Virwani,57,India,Bangalore,Real estate,Real Estate,India,,FALSE,D,M,2/18/1966 0:00,Virwani,Jitendra,,4/4/2023 5:01,,,1966,2,18,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1575,1900,Real Estate,Wang Chaobin,67,China,Zhengzhou,Real estate,Real Estate,China,,TRUE,E,M,1/1/1956 0:00,Wang,Chaobin,,4/4/2023 5:01,,,1956,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Fashion & Retail,Wang Ren-sheng,91,China,Zhengzhou,Retail,Fashion & Retail,Taiwan,,TRUE,D,M,12/1/1931 0:00,Wang,Ren-sheng,,4/4/2023 5:01,,,1931,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Food & Beverage,Charlotte Colket Weber,80,United States,Hobe Sound,Campbell Soup,Food & Beverage,United States,Campbell Soup,FALSE,U,F,11/19/1942 0:00,Weber,Charlotte Colket,Director,4/4/2023 5:01,Florida,South,1942,11,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1575,1900,Healthcare,Xie Juhua & family,72,China,Nanjing,Pharmaceuticals,Healthcare,China,,FALSE,D,F,1/1/1951 0:00,Xie,Juhua,,4/4/2023 5:01,,,1951,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Manufacturing,Chuanhua Xu & family,88,China,Hangzhou,"Chemicals, logistics",Manufacturing,China,Transfar Group,TRUE,D,M,1/1/1935 0:00,Xu,Chuanhua,Founder,4/4/2023 5:01,,,1935,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Finance & Investments,Gavril Yushvaev & family,65,Israel,,"Precious metals, real estate",Finance & Investments,Russia,,TRUE,U,M,7/23/1957 0:00,Yushvaev,Gavril,,4/4/2023 5:01,,,1957,7,23,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +1575,1900,Diversified,Zhang Hongwei,68,China,Beijing,"Oil, banking",Diversified,China,,TRUE,D,M,12/26/1954 0:00,Zhang,Hongwei,,4/4/2023 5:01,,,1954,12,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1575,1900,Manufacturing,Anita Zucker,71,United States,Charleston,Chemicals,Manufacturing,United States,,FALSE,U,F,1/19/1952 0:00,Zucker,Anita,,4/4/2023 5:01,South Carolina,South,1952,1,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Technology,Cameron Adams,43,Australia,Sydney,Software,Technology,Australia,,TRUE,D,M,12/26/1979 0:00,Adams,Cameron,,4/4/2023 5:01,,,1979,12,26,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1647,1800,Fashion & Retail,Will Adderley,51,United Kingdom,,Home furnishings,Fashion & Retail,United Kingdom,,FALSE,Split Family Fortune,M,3/4/1972 0:00,Adderley,Will,,4/4/2023 5:01,,,1972,3,4,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1647,1800,Diversified,Faisal Bin Qassim Al Thani,75,Qatar,Doha,"Hotels, diversified",Diversified,Qatar,,TRUE,D,M,1/1/1948 0:00,Al Thani,Faisal Bin Qassim,,4/4/2023 5:01,,,1948,1,1,115.38,-0.7,"$183,466,208,791 ",17.9,103.8,80.1,14.7,11.3,2832067,25.354826,51.183884 +1647,1800,Sports,Leslie Alexander,79,United States,Houston,Sports team,Sports,United States,,TRUE,E,M,6/30/1943 0:00,Alexander,Leslie,,4/4/2023 5:01,Texas,South,1943,6,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Real Estate,Masaaki Arai,57,Japan,Tokyo,Home sales,Real Estate,Japan,,TRUE,D,M,10/29/1965 0:00,Arai,Masaaki,,4/4/2023 5:01,,,1965,10,29,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1647,1800,Fashion & Retail,Sabrina Benetton,49,Italy,Treviso,"Fashion retail, investments",Fashion & Retail,Italy,,FALSE,U,F,10/4/1973 0:00,Benetton,Sabrina,,4/4/2023 5:01,,,1973,10,4,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1647,1800,Technology,Sanjeev Bikhchandani,59,India,Delhi,Internet,Technology,India,,TRUE,D,M,6/29/1963 0:00,Bikhchandani,Sanjeev,,4/4/2023 5:01,,,1963,6,29,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1647,1800,Finance & Investments,O. Francis Biondi,58,United States,New York,Hedge funds,Finance & Investments,United States,,TRUE,E,M,7/4/1964 0:00,Biondi,O. Francis,,4/4/2023 5:01,New York,Northeast,1964,7,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Energy,Alejandro Bulgheroni,78,Uruguay,Manantiales,Oil & gas,Energy,Argentina,,FALSE,D,M,11/1/1944 0:00,Bulgheroni,Alejandro,,4/4/2023 5:01,,,1944,11,1,202.92,7.9,"$56,045,912,952 ",63.1,108.5,77.8,20.1,41.8,3461734,-32.522779,-55.765835 +1647,1800,Food & Beverage,R.G. Chandramogan,74,India,Chennai,Dairy,Food & Beverage,India,,TRUE,D,M,3/1/1949 0:00,Chandramogan,R.G.,,4/4/2023 5:01,,,1949,3,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1647,1800,Diversified,Binod Chaudhary,67,Nepal,Kathmandu,Diversified,Diversified,Nepal,,FALSE,U,M,4/14/1955 0:00,Chaudhary,Binod,,4/4/2023 5:01,,,1955,4,14,188.73,5.6,"$30,641,380,604 ",12.4,142.1,70.5,20.7,41.8,28608710,28.394857,84.124008 +1647,1800,Technology,Parker Conrad,42,United States,San Francisco,Software,Technology,United States,,TRUE,N,M,4/13/1980 0:00,Conrad,Parker,,4/4/2023 5:01,California,West,1980,4,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Technology,Tim Cook,62,United States,Cupertino,Apple,Technology,United States,Apple,TRUE,D,M,11/1/1960 0:00,Cook,Tim,CEO,4/4/2023 5:01,California,West,1960,11,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Finance & Investments,Mark Coombs,62,United Kingdom,London,Finance,Finance & Investments,United Kingdom,,TRUE,E,M,1/1/1961 0:00,Coombs,Mark,,4/4/2023 5:01,,,1961,1,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1647,1800,Media & Entertainment,John de Mol,68,Netherlands,Blaricum,TV programs,Media & Entertainment,Netherlands,,TRUE,E,M,3/24/1955 0:00,de Mol,John,,4/4/2023 5:01,,,1955,3,24,115.91,2.6,"$909,070,395,161 ",85,104.2,81.8,23,41.2,17332850,52.132633,5.291266 +1647,1800,Construction & Engineering,D. Leopoldo Del Pino,60,Spain,Madrid,Construction,Construction & Engineering,Spain,,FALSE,D,M,7/30/1962 0:00,Del Pino,D. Leopoldo,,4/4/2023 5:01,,,1962,7,30,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1647,1800,Technology,Diao Zhizhong,59,China,Beijing,Software,Technology,China,,TRUE,U,M,11/6/1963 0:00,Diao,Zhizhong,,4/4/2023 5:01,,,1963,11,6,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Healthcare,Robert Duggan,78,United States,Clearwater,Pharmaceuticals,Healthcare,United States,,TRUE,D,M,4/28/1944 0:00,Duggan,Robert,,4/4/2023 5:01,Florida,South,1944,4,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Sports,James France,78,United States,Daytona Beach,"Nascar, racing",Sports,United States,,FALSE,E,M,10/24/1944 0:00,France,James,,4/4/2023 5:01,Florida,South,1944,10,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Healthcare,Phillip Frost,86,United States,Miami Beach,Pharmaceuticals,Healthcare,United States,,TRUE,D,M,11/11/1936 0:00,Frost,Phillip,,4/4/2023 5:01,Florida,South,1936,11,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Finance & Investments,Jayme Garfinkel & family,77,Brazil,Sao Paulo,Insurance,Finance & Investments,Brazil,,FALSE,U,M,11/30/1945 0:00,Garfinkel,Jayme,,4/4/2023 5:01,,,1945,11,30,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1647,1800,Food & Beverage,Christopher Goldsbury,80,United States,San Antonio,Salsa,Food & Beverage,United States,Silver Ventures,FALSE,E,M,1/1/1943 0:00,Goldsbury,Christopher,Chief Executive Officer,4/4/2023 5:01,Texas,South,1943,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Healthcare,Yusuf Hamied,86,India,Mumbai,Pharmaceuticals,Healthcare,India,,FALSE,D,M,7/26/1936 0:00,Hamied,Yusuf,,4/4/2023 5:01,,,1936,7,26,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1647,1800,Finance & Investments,Brian Higgins,58,United States,New York,Hedge funds,Finance & Investments,United States,King Street Capital Management,TRUE,E,M,2/8/1965 0:00,Higgins,Brian,Investor,4/4/2023 5:01,New York,Northeast,1965,2,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Real Estate,Wei Huang,63,China,Hangzhou,Real estate,Real Estate,China,,TRUE,U,M,9/30/1959 0:00,Huang,Wei,,4/4/2023 5:01,,,1959,9,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Automotive,Yintai Jiang & family,72,China,Shanghai,Auto parts,Automotive,China,,TRUE,U,M,7/30/1950 0:00,Jiang,Yintai,,4/4/2023 5:01,,,1950,7,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Healthcare,Lei Jin,57,China,Changchun,Pharmaceuticals,Healthcare,China,,TRUE,U,M,8/1/1965 0:00,Jin,Lei,,4/4/2023 5:01,,,1965,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Healthcare,Jin Lei & family,68,China,Beijing,Medical equipment,Healthcare,China,,TRUE,U,M,9/23/1954 0:00,Jin,Lei,,4/4/2023 5:01,,,1954,9,23,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Technology,Valentin Kipyatkov,46,Cyprus,Peyia,Software,Technology,Cyprus,,TRUE,D,M,6/5/1976 0:00,Kipyatkov,Valentin,,4/4/2023 5:01,,,1976,6,5,102.51,0.3,"$24,564,647,935 ",75.9,99.3,80.8,24.5,22.4,1198575,35.126413,33.429859 +1647,1800,Diversified,Koo Kwang-mo,45,South Korea,Seoul,LG,Diversified,South Korea,,FALSE,U,M,1/23/1978 0:00,Koo,Kwang-mo,,4/4/2023 5:01,,,1978,1,23,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +1647,1800,Technology,George Kurtz,52,United States,Paradise Valley,Security software,Technology,United States,,TRUE,D,M,10/1/1970 0:00,Kurtz,George,,4/4/2023 5:01,Arizona,West,1970,10,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Sports,Joe Lacob,67,United States,Atherton,Golden State Warriors,Sports,United States,,TRUE,U,M,1/10/1956 0:00,Lacob,Joe,,4/4/2023 5:01,California,West,1956,1,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Technology,Joe Lau,33,United States,Stanford,"Blockchain, technology",Technology,United States,,TRUE,D,M,7/1/1989 0:00,Lau,Joe,,4/4/2023 5:01,California,West,1989,7,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Diversified,Louise Lindh,43,Sweden,Stockholm,Investments,Diversified,Sweden,,FALSE,U,F,10/20/1979 0:00,Lindh,Louise,,4/4/2023 5:01,,,1979,10,20,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1647,1800,Metals & Mining,Luo Yangyong & family,47,China,Panzhihua,Mining,Metals & Mining,China,,TRUE,D,M,6/2/1975 0:00,Luo,Yangyong,,4/4/2023 5:01,,,1975,6,2,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Media & Entertainment,Joao Roberto Marinho,69,Brazil,Rio de Janeiro,Media,Media & Entertainment,Brazil,,FALSE,D,M,9/16/1953 0:00,Marinho,Joao Roberto,,4/4/2023 5:01,,,1953,9,16,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1647,1800,Media & Entertainment,Jose Roberto Marinho,67,Brazil,Rio de Janeiro,Media,Media & Entertainment,Brazil,,FALSE,D,M,12/26/1955 0:00,Marinho,Jose Roberto,,4/4/2023 5:01,,,1955,12,26,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1647,1800,Media & Entertainment,Roberto Irineu Marinho,75,Brazil,Rio de Janeiro,Media,Media & Entertainment,Brazil,,FALSE,D,M,10/13/1947 0:00,Marinho,Roberto Irineu,,4/4/2023 5:01,,,1947,10,13,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1647,1800,Healthcare,Gary Michelson,74,United States,Los Angeles,Medical patents,Healthcare,United States,,TRUE,E,M,1/14/1949 0:00,Michelson,Gary,,4/4/2023 5:01,California,West,1949,1,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Technology,Robert G. Miller,77,Canada,Montreal,Electronics components,Technology,Canada,Future Electronics,TRUE,E,M,7/3/1945 0:00,Miller,Robert G.,Founder,4/4/2023 5:01,,,1945,7,3,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1647,1800,Real Estate,David Mindus,51,Sweden,Stockholm,Real estate,Real Estate,Sweden,,TRUE,D,M,1/26/1972 0:00,Mindus,David,,4/4/2023 5:01,,,1972,1,26,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1647,1800,Technology,Adriaan Mol,39,Netherlands,Amsterdam,Fintech,Technology,Netherlands,,TRUE,N,M,3/14/1984 0:00,Mol,Adriaan,,4/4/2023 5:01,,,1984,3,14,115.91,2.6,"$909,070,395,161 ",85,104.2,81.8,23,41.2,17332850,52.132633,5.291266 +1647,1800,Real Estate,Mofatraj Munot,78,India,Mumbai,Real estate,Real Estate,India,,TRUE,U,M,10/4/1944 0:00,Munot,Mofatraj,,4/4/2023 5:01,,,1944,10,4,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1647,1800,Finance & Investments,Ezra Nahmad,77,Monaco,Monte Carlo,Art,Finance & Investments,Monaco,,FALSE,U,M,7/31/1945 0:00,Nahmad,Ezra,Investor,4/4/2023 5:01,,,1945,7,31,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +1647,1800,Manufacturing,Satyanarayan Nuwal,70,India,Nagpur,Industrial explosives,Manufacturing,India,,TRUE,U,M,7/25/1952 0:00,Nuwal,Satyanarayan,,4/4/2023 5:01,,,1952,7,25,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1647,1800,Food & Beverage,Maike Oberwelland-Height,,,,Candy,Food & Beverage,Germany,,FALSE,Split Family Fortune,F,,Oberwelland-Height,Maike,,4/4/2023 5:01,,,,,,,,,,,,,,,, +1647,1800,Diversified,Nihat Ozdemir,72,Turkey,Ankara,Diversified,Diversified,Turkey,,TRUE,D,M,4/5/1950 0:00,Ozdemir,Nihat,,4/4/2023 5:01,,,1950,4,5,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1647,1800,Technology,Benjamin Zhengmin Pan & family,53,China,Shenzhen,Electronics,Technology,China,,TRUE,D,M,12/1/1969 0:00,Pan,Benjamin Zhengmin,,4/4/2023 5:01,,,1969,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Media & Entertainment,Pierre Karl Péladeau,61,Canada,Montreal,Media,Media & Entertainment,Canada,,FALSE,E,M,10/16/1961 0:00,Péladeau,Pierre Karl,,4/4/2023 5:01,,,1961,10,16,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1647,1800,Finance & Investments,Ronald Perelman,80,United States,New York,Leveraged buyouts,Finance & Investments,United States,,TRUE,D,M,1/1/1943 0:00,Perelman,Ronald,,4/4/2023 5:01,New York,Northeast,1943,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Technology,Olivier Pomel,46,United States,New York,Cloud computing,Technology,France,Datadog,TRUE,D,M,3/26/1977 0:00,Pomel,Olivier,Cofounder,4/4/2023 5:01,New York,Northeast,1977,3,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Media & Entertainment,Krit Ratanarak,76,Thailand,Bangkok,"Media, real estate",Media & Entertainment,Thailand,,FALSE,E,M,4/19/1946 0:00,Ratanarak,Krit,,4/4/2023 5:01,,,1946,4,19,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1647,1800,Manufacturing,Vinod Saraf,70,India,Mumbai,Chemicals,Manufacturing,India,,TRUE,D,M,6/16/1952 0:00,Saraf,Vinod,,4/4/2023 5:01,,,1952,6,16,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1647,1800,Technology,Karin Schick,,Germany,Gaildorf,Information technology,Technology,Germany,,FALSE,D,F,,Schick,Karin,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1647,1800,Metals & Mining,Anatoly Sedykh,58,Russia,Moscow,Steel pipes,Metals & Mining,Russia,,TRUE,R,M,11/28/1964 0:00,Sedykh,Anatoly,,4/4/2023 5:01,,,1964,11,28,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1647,1800,Food & Beverage,Genhuo Shao,57,China,Beijing,Agribusiness,Food & Beverage,China,,TRUE,D,M,7/29/1965 0:00,Shao,Genhuo,,4/4/2023 5:01,,,1965,7,29,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Energy,Shen Xiqiang & family,75,China,Yixing,Chemical,Energy,China,,TRUE,D,M,3/2/1948 0:00,Shen,Xiqiang,,4/4/2023 5:01,,,1948,3,2,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Technology,S.D. Shibulal,68,India,Bangalore,Software services,Technology,India,,TRUE,D,M,3/1/1955 0:00,Shibulal,S.D.,,4/4/2023 5:01,,,1955,3,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1647,1800,Fashion & Retail,Suh Kyung-bae,60,South Korea,Seoul,Cosmetics,Fashion & Retail,South Korea,Amorepacific Corp. (New),FALSE,D,M,1/14/1963 0:00,Suh,Kyung-bae,Chairman,4/4/2023 5:01,,,1963,1,14,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +1647,1800,Food & Beverage,Bambang Sutantio,64,Indonesia,,Dairy & consumer products,Food & Beverage,Indonesia,,TRUE,U,M,12/26/1958 0:00,Sutantio,Bambang,,4/4/2023 5:01,,,1958,12,26,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +1647,1800,Manufacturing,Sze Man Bok,73,China,Jinjiang,Hygiene products,Manufacturing,China,,TRUE,D,M,1/1/1950 0:00,Sze,Man Bok,,4/4/2023 5:01,,,1950,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Logistics,Jim Thompson,83,Hong Kong,Hong Kong,Logistics,Logistics,United States,,TRUE,U,M,1/14/1940 0:00,Thompson,Jim,,4/4/2023 5:01,,,1940,1,14,,,,,,,,,,, +1647,1800,Manufacturing,Tran Dinh Long,62,Vietnam,Hanoi,Steel,Manufacturing,Vietnam,,TRUE,D,M,1/1/1961 0:00,Tran Dinh,Long,,4/4/2023 5:01,,,1961,1,1,163.52,2.8,"$261,921,244,843 ",28.5,110.6,75.3,19.1,37.6,96462106,14.058324,108.277199 +1647,1800,Technology,Alan Trefler,67,United States,Brookline,Software,Technology,United States,,TRUE,D,M,3/10/1956 0:00,Trefler,Alan,,4/4/2023 5:01,Massachusetts,Northeast,1956,3,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Finance & Investments,Riaz Valani,46,United States,Malibu,E-cigarettes,Finance & Investments,United States,,TRUE,D,M,9/1/1976 0:00,Valani,Riaz,,4/4/2023 5:01,California,West,1976,9,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Technology,Pieter van der Does,53,Netherlands,Amsterdam,Payments software,Technology,Netherlands,,TRUE,D,M,5/1/1969 0:00,van der Does,Pieter,,4/4/2023 5:01,,,1969,5,1,115.91,2.6,"$909,070,395,161 ",85,104.2,81.8,23,41.2,17332850,52.132633,5.291266 +1647,1800,Manufacturing,Martin Viessmann,69,Germany,Allendorf,Heating and cooling equipment,Manufacturing,Germany,,FALSE,D,M,10/10/1953 0:00,Viessmann,Martin,,4/4/2023 5:01,,,1953,10,10,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1647,1800,Technology,Nikil Viswanathan,35,United States,San Francisco,Blockchain technology,Technology,United States,,TRUE,D,M,10/16/1987 0:00,Viswanathan,Nikil,,4/4/2023 5:01,California,West,1987,10,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Media & Entertainment,Todd Wagner,62,United States,Dallas,Online media,Media & Entertainment,United States,,TRUE,D,M,8/2/1960 0:00,Wagner,Todd,,4/4/2023 5:01,Texas,South,1960,8,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Technology,Evan Williams,51,United States,San Francisco,Twitter,Technology,United States,Twitter,TRUE,D,M,3/31/1972 0:00,Williams,Evan,Cofounder and Director,4/4/2023 5:01,California,West,1972,3,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Metals & Mining,Kie Chie Wong,75,Australia,Sydney,Investments,Metals & Mining,Malaysia,,FALSE,U,M,4/4/1948 0:00,Wong,Kie Chie,,4/4/2023 5:01,,,1948,4,4,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1647,1800,Finance & Investments,Thomas Wu,72,Taiwan,Taipei,Finance,Finance & Investments,Taiwan,,FALSE,D,M,4/11/1950 0:00,Wu,Thomas,,4/4/2023 5:01,,,1950,4,11,,,,,,,,,,, +1647,1800,Energy,Wu Yingming,56,China,Ningde,Batteries,Energy,China,,TRUE,D,M,1/1/1967 0:00,Wu,Yingming,,4/4/2023 5:01,,,1967,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Healthcare,Amy Wyss,52,United States,Wilson,Medical equipment,Healthcare,United States,,FALSE,D,F,1/1/1971 0:00,Wyss,Amy,,4/4/2023 5:01,Wyoming,South,1971,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Real Estate,Yan Zhi,50,China,Wuhan,Real estate,Real Estate,China,,TRUE,D,M,7/1/1972 0:00,Yan,Zhi,,4/4/2023 5:01,,,1972,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1647,1800,Fashion & Retail,Yoshiaki Yoshida,82,Japan,,cosmetics,Fashion & Retail,Japan,,TRUE,U,M,1/31/1941 0:00,Yoshida,Yoshiaki,,4/4/2023 5:01,,,1941,1,31,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1647,1800,Manufacturing,Alan Zekelman,60,United States,Bloomfield Hills,Steel,Manufacturing,Canada,,FALSE,U,M,10/1/1962 0:00,Zekelman,Alan,,4/4/2023 5:01,Michigan,Midwest,1962,10,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1647,1800,Real Estate,Zhang Li,70,China,Guangzhou,Real estate,Real Estate,China,,TRUE,D,M,1/1/1953 0:00,Zhang,Li,,4/4/2023 5:01,,,1953,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Sports,Amy Adams Strunk,67,United States,Nashville,Tennessee Titans,Sports,United States,Tennessee Titans,FALSE,N,F,9/29/1955 0:00,Adams Strunk,Amy,Owner,4/4/2023 5:01,Tennessee,South,1955,9,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Finance & Investments,Marc Andreessen,51,United States,Atherton,Venture capital investing,Finance & Investments,United States,Andreessen Horowitz,TRUE,E,M,7/9/1971 0:00,Andreessen,Marc,Investor,4/4/2023 5:01,California,West,1971,7,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Metals & Mining,Giovanni Arvedi,85,Italy,Cremona,Steel,Metals & Mining,Italy,,TRUE,N,M,8/28/1937 0:00,Arvedi,Giovanni,,4/4/2023 5:01,,,1937,8,28,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1725,1700,Real Estate,Lesley Bamberger,57,Netherlands,Amsterdam,Real estate,Real Estate,Netherlands,,FALSE,U,M,6/3/1965 0:00,Bamberger,Lesley,,4/4/2023 5:01,,,1965,6,3,115.91,2.6,"$909,070,395,161 ",85,104.2,81.8,23,41.2,17332850,52.132633,5.291266 +1725,1700,Media & Entertainment,Bang Si-hyuk,50,South Korea,Seoul,Entertainment,Media & Entertainment,South Korea,,TRUE,D,M,8/9/1972 0:00,Bang,Si-hyuk,,4/4/2023 5:01,,,1972,8,9,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +1725,1700,Finance & Investments,David Booth,77,United States,Austin,Mutual funds,Finance & Investments,United States,Dimensional Fund Advisors,TRUE,E,M,1/1/1946 0:00,Booth,David,Chairman and CEO,4/4/2023 5:01,Texas,South,1946,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Technology,Jim Breyer,61,United States,Austin,Venture capital,Technology,United States,Breyer Capital,TRUE,D,M,7/26/1961 0:00,Breyer,Jim,Investor,4/4/2023 5:01,Texas,South,1961,7,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Manufacturing,Chen Kaichen,,China,Guangzhou,Household chemicals,Manufacturing,China,,TRUE,D,M,,Chen,Kaichen,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Manufacturing,Kommer Damen,79,Netherlands,Gorinchem,Shipbuilding,Manufacturing,Netherlands,,FALSE,D,M,3/30/1944 0:00,Damen,Kommer,,4/4/2023 5:01,,,1944,3,30,115.91,2.6,"$909,070,395,161 ",85,104.2,81.8,23,41.2,17332850,52.132633,5.291266 +1725,1700,Food & Beverage,Carl DeSantis,83,United States,Delray Beach,Energy drink,Food & Beverage,United States,,TRUE,U,M,7/19/1939 0:00,DeSantis,Carl,,4/4/2023 5:01,Florida,,1939,7,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Finance & Investments,Marek Dospiva,53,Czech Republic,Prague,Investments,Finance & Investments,Czech Republic,,TRUE,U,M,7/18/1969 0:00,Dospiva,Marek,,4/4/2023 5:01,,,1969,7,18,116.48,2.8,"$246,489,245,495 ",64.1,100.7,79,14.9,46.1,10669709,49.817492,15.472962 +1725,1700,Healthcare,Keith Dunleavy & family,53,United States,Annapolis,Health IT,Healthcare,United States,,TRUE,E,M,6/25/1969 0:00,Dunleavy,Keith,,4/4/2023 5:01,Maryland,South,1969,6,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Finance & Investments,John Elkann,47,Italy,Turin,"FIAT, investments",Finance & Investments,Italy,,FALSE,D,M,1/4/1976 0:00,Elkann,John,,4/4/2023 5:01,,,1976,1,4,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1725,1700,Automotive,Francois Feuillet & family,74,France,Paris,"Motorhomes, RVs",Automotive,France,,FALSE,D,M,1/1/1949 0:00,Feuillet,Francois,,4/4/2023 5:01,,,1949,1,1,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +1725,1700,Media & Entertainment,Yasuhiro Fukushima,75,Japan,Tokyo,Video games,Media & Entertainment,Japan,,TRUE,D,M,8/18/1947 0:00,Fukushima,Yasuhiro,,4/4/2023 5:01,,,1947,8,18,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1725,1700,Finance & Investments,Mario Gabelli,81,United States,Greenwich,Money management,Finance & Investments,United States,,TRUE,D,M,3/31/1942 0:00,Gabelli,Mario,,4/4/2023 5:01,Connecticut,Northeast,1942,3,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Finance & Investments,Rolf Gerling,68,Switzerland,Zurich,Insurance,Finance & Investments,Germany,,FALSE,E,M,12/15/1954 0:00,Gerling,Rolf,,4/4/2023 5:01,,,1954,12,15,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1725,1700,Real Estate,John Goff,67,United States,Fort Worth,Real estate,Real Estate,United States,,TRUE,U,M,8/26/1955 0:00,Goff,John,,4/4/2023 5:01,Texas,South,1955,8,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Fashion & Retail,Alexandre Grendene Bartelle,73,Brazil,Porto Alegre,Shoes,Fashion & Retail,Brazil,,TRUE,D,M,1/23/1950 0:00,Grendene Bartelle,Alexandre,,4/4/2023 5:01,,,1950,1,23,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1725,1700,Fashion & Retail,Gerry Harvey,83,Australia,Sydney,Retail,Fashion & Retail,Australia,,TRUE,D,M,9/18/1939 0:00,Harvey,Gerry,,4/4/2023 5:01,,,1939,9,18,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1725,1700,Technology,He Zhaoxi,49,China,Shenzhen,Software,Technology,China,,TRUE,E,M,1/1/1974 0:00,He,Zhaoxi,,4/4/2023 5:01,,,1974,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Real Estate,William Heinecke,73,Thailand,Bangkok,Hotels,Real Estate,Thailand,,TRUE,E,M,6/4/1949 0:00,Heinecke,William,,4/4/2023 5:01,,,1949,6,4,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1725,1700,Finance & Investments,Jay Hennick,66,Canada,Toronto,Real estate finance,Finance & Investments,Canada,,TRUE,D,M,1/20/1957 0:00,Hennick,Jay,,4/4/2023 5:01,,,1957,1,20,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1725,1700,Manufacturing,Ilkka Herlin,64,Finland,Helsinki,"Elevators, escalators",Manufacturing,Finland,,FALSE,U,M,1/1/1959 0:00,Herlin,Ilkka,,4/4/2023 5:01,,,1959,1,1,112.33,1,"$268,761,201,365 ",88.2,100.2,81.7,20.8,36.6,5520314,61.92411,25.748151 +1725,1700,Real Estate,Asok Kumar Hiranandani,68,Singapore,Singapore,Real estate,Real Estate,Singapore,,FALSE,U,M,11/28/1954 0:00,Hiranandani,Asok Kumar,,4/4/2023 5:01,,,1954,11,28,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1725,1700,Finance & Investments,Hal Jackman,90,Canada,Toronto,"Insurance, investments",Finance & Investments,Canada,,TRUE,D,M,6/10/1932 0:00,Jackman,Hal,,4/4/2023 5:01,,,1932,6,10,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1725,1700,Manufacturing,Pavan Jain,71,India,Delhi,Chemicals,Manufacturing,India,,FALSE,N,M,5/17/1951 0:00,Jain,Pavan,,4/4/2023 5:01,,,1951,5,17,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1725,1700,Real Estate,Keeree Kanjanapas,72,Thailand,Bangkok,Transportation,Real Estate,Thailand,,TRUE,D,M,10/18/1950 0:00,Kanjanapas,Keeree,,4/4/2023 5:01,,,1950,10,18,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1725,1700,Healthcare,Osman Kibar,52,United States,La Jolla,Biotech,Healthcare,United States,Samumed,TRUE,D,M,4/1/1971 0:00,Kibar,Osman,"Founder, CEO",4/4/2023 5:01,California,West,1971,4,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Fashion & Retail,Kim Chang-soo,62,South Korea,Seoul,Apparel,Fashion & Retail,South Korea,,TRUE,D,M,4/1/1961 0:00,Kim,Chang-soo,,4/4/2023 5:01,,,1961,4,1,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +1725,1700,Media & Entertainment,Kim Jung-min,21,,,Online gaming,Media & Entertainment,South Korea,,FALSE,N,F,1/1/2002 0:00,Kim,Jung-min,,4/4/2023 5:01,,,2002,1,1,,,,,,,,,,, +1725,1700,Media & Entertainment,Kim Jung-youn,19,,,Online gaming,Media & Entertainment,South Korea,,FALSE,N,F,1/1/2004 0:00,Kim,Jung-youn,,4/4/2023 5:01,,,2004,1,1,,,,,,,,,,, +1725,1700,Fashion & Retail,Mustafa Kucuk,59,Turkey,Istanbul,Fashion retail,Fashion & Retail,Turkey,,TRUE,U,M,6/3/1963 0:00,Kucuk,Mustafa,,4/4/2023 5:01,,,1963,6,3,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1725,1700,Real Estate,Christopher Kwok,37,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,U,M,4/1/1986 0:00,Kwok,Christopher,,4/4/2023 5:01,,,1986,4,1,,,,,,,,,,, +1725,1700,Real Estate,Edward Kwok,42,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,U,M,4/1/1981 0:00,Kwok,Edward,,4/4/2023 5:01,,,1981,4,1,,,,,,,,,,, +1725,1700,Logistics,Lai Jianfa,53,China,Shanghai,Express delivery,Logistics,China,,TRUE,U,M,,Lai,Jianfa,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Diversified,Lau Cho Kun,87,Malaysia,"Tawau, Sabah","Palm oil, property",Diversified,Malaysia,,FALSE,D,M,1/10/1936 0:00,Lau,Cho Kun,,4/4/2023 5:01,,,1936,1,10,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +1725,1700,Technology,Alexis Lê-Quôc,48,United States,New York,Cloud computing,Technology,United States,Datadog,TRUE,D,M,11/14/1974 0:00,Lê-Quôc,Alexis,Cofounder,4/4/2023 5:01,New York,Northeast,1974,11,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Healthcare,Lei Jufang,70,China,Lanzhou,Pharmaceuticals,Healthcare,China,,TRUE,D,F,1/3/1953 0:00,Lei,Jufang,,4/4/2023 5:01,,,1953,1,3,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Healthcare,James Leininger,78,United States,San Antonio,Medical products,Healthcare,United States,,TRUE,E,M,3/30/1945 0:00,Leininger,James,,4/4/2023 5:01,Texas,South,1945,3,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Food & Beverage,Xuhui Li,54,China,Foshan,Soy sauce,Food & Beverage,China,,TRUE,D,F,6/15/1968 0:00,Li,Xuhui,,4/4/2023 5:01,,,1968,6,15,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Food & Beverage,Jimmy John Liautaud,59,United States,Key Largo,Sandwich chain,Food & Beverage,United States,,TRUE,E,M,1/12/1964 0:00,Liautaud,Jimmy John,,4/4/2023 5:01,Florida,South,1964,1,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Metals & Mining,Lin Lairong & family,54,China,Bayannur,Iron ore mining,Metals & Mining,China,,TRUE,D,M,8/9/1968 0:00,Lin,Lairong,,4/4/2023 5:01,,,1968,8,9,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Technology,Lu Di,,China,Shenzhen,Drones,Technology,China,,TRUE,E,M,,Lu,Di,Investor,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Technology,Palmer Luckey,30,United States,Newport Beach,Virtual reality,Technology,United States,Oculus VR,TRUE,N,M,9/19/1992 0:00,Luckey,Palmer,Entrepreneur,4/4/2023 5:01,California,West,1992,9,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Finance & Investments,Duncan MacMillan,85,United States,Princeton,Bloomberg LP,Finance & Investments,United States,,TRUE,U,M,12/17/1937 0:00,MacMillan,Duncan,,4/4/2023 5:01,New Jersey,Northeast,1937,12,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Technology,Yusaku Maezawa,47,Japan,Chiba,Online retail,Technology,Japan,,TRUE,D,M,11/22/1975 0:00,Maezawa,Yusaku,,4/4/2023 5:01,,,1975,11,22,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1725,1700,Fashion & Retail,Ilson Mateus & family,60,Brazil,Sao Luis,Supermarkets,Fashion & Retail,Brazil,,TRUE,U,M,2/6/1963 0:00,Mateus,Ilson,,4/4/2023 5:01,,,1963,2,6,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1725,1700,Manufacturing,Meng Qingshan & family,74,China,Langfang,Chemicals,Manufacturing,China,,TRUE,U,M,11/17/1948 0:00,Meng,Qingshan,,4/4/2023 5:01,,,1948,11,17,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Fashion & Retail,Alberto Palatchi,73,Spain,Madrid,Wedding dresses,Fashion & Retail,Spain,,TRUE,E,M,6/26/1949 0:00,Palatchi,Alberto,,4/4/2023 5:01,,,1949,6,26,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1725,1700,Manufacturing,Mrudula Parekh,75,India,Mumbai,Adhesives,Manufacturing,India,,FALSE,D,F,1/1/1948 0:00,Parekh,Mrudula,,4/4/2023 5:01,,,1948,1,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1725,1700,Fashion & Retail,Dragos Paval,56,Romania,Bacau,Retail,Fashion & Retail,Romania,,TRUE,U,M,6/22/1966 0:00,Paval,Dragos,,4/4/2023 5:01,,,1966,6,22,123.78,3.8,"$250,077,444,017 ",49.4,85.2,75.4,14.6,20,19356544,45.943161,24.96676 +1725,1700,Real Estate,Jorge Perez,73,United States,Miami,Real estate,Real Estate,United States,,TRUE,E,M,10/17/1949 0:00,Perez,Jorge,,4/4/2023 5:01,Florida,South,1949,10,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Metals & Mining,Dmitry Pumpyansky,59,Russia,Moscow,Steel pipes,Metals & Mining,Russia,,TRUE,R,M,3/22/1964 0:00,Pumpyansky,Dmitry,,4/4/2023 5:01,,,1964,3,22,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1725,1700,Healthcare,Jinsheng Ren & family,60,China,Nanjing,Pharmaceutical,Healthcare,China,,TRUE,U,M,1/1/1963 0:00,Ren,Jinsheng,,4/4/2023 5:01,,,1963,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Media & Entertainment,Brian Roberts,63,United States,Philadelphia,Comcast,Media & Entertainment,United States,Comcast,FALSE,U,M,6/28/1959 0:00,Roberts,Brian,CEO,4/4/2023 5:01,Pennsylvania,Northeast,1959,6,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Food & Beverage,"Joe Rogers, Jr.",76,United States,Atlanta,Waffle House,Food & Beverage,United States,,FALSE,D,M,12/2/1946 0:00,Rogers,Joe,,4/4/2023 5:01,Georgia,South,1946,12,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Manufacturing,Ruan Shuilong & family,87,China,Shangyu,Chemicals,Manufacturing,China,,TRUE,D,M,12/1/1935 0:00,Ruan,Shuilong,,4/4/2023 5:01,,,1935,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Real Estate,Paul Saville,67,United States,Palm Beach,Homebuilder,Real Estate,United States,,TRUE,U,M,12/14/1955 0:00,Saville,Paul,,4/4/2023 5:01,Florida,South,1955,12,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Diversified,Ivan Savvidis & family,64,Russia,Rostov-on-Don,Agribusiness,Diversified,Russia,,TRUE,U,M,3/27/1959 0:00,Savvidis,Ivan,,4/4/2023 5:01,,,1959,3,27,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1725,1700,Healthcare,Keiichi Shibahara,58,Japan,Tokyo,Healthcare,Healthcare,Japan,,TRUE,U,M,10/9/1964 0:00,Shibahara,Keiichi,,4/4/2023 5:01,,,1964,10,9,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1725,1700,Manufacturing,Rajju Shroff,89,India,Mumbai,Agrochemicals,Manufacturing,India,,TRUE,D,M,10/20/1933 0:00,Shroff,Rajju,,4/4/2023 5:01,,,1933,10,20,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1725,1700,Fashion & Retail,Sun Huaiqing & family,53,China,Guangzhou,Cosmetics,Fashion & Retail,China,,TRUE,U,M,10/2/1969 0:00,Sun,Huaiqing,,4/4/2023 5:01,,,1969,10,2,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Real Estate,Alain Taravella,75,France,Paris,Real estate development,Real Estate,France,,TRUE,D,M,1/1/1948 0:00,Taravella,Alain,,4/4/2023 5:01,,,1948,1,1,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +1725,1700,Diversified,Jonathan Tisch,69,United States,New York,"Insurance, NFL team",Diversified,United States,,FALSE,U,M,12/7/1953 0:00,Tisch,Jonathan,,4/4/2023 5:01,New York,Northeast,1953,12,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Service,Kenneth Tuchman,63,United States,Denver,Call centers,Service,United States,,TRUE,D,M,10/23/1959 0:00,Tuchman,Kenneth,,4/4/2023 5:01,Colorado,West,1959,10,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Manufacturing,Wang Chou-hsiong,82,Taiwan,Yunlin,Footwear,Manufacturing,Taiwan,,TRUE,D,M,1/1/1941 0:00,Wang,Chou-hsiong,,4/4/2023 5:01,,,1941,1,1,,,,,,,,,,, +1725,1700,Technology,Wang Minwen,59,China,Beijing,Semiconductor,Technology,China,,TRUE,D,M,11/1/1963 0:00,Wang,Minwen,,4/4/2023 5:01,,,1963,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Sports,Tom Werner,72,United States,Los Angeles,Sports teams,Sports,United States,,TRUE,U,M,4/12/1950 0:00,Werner,Tom,,4/4/2023 5:01,California,West,1950,4,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Real Estate,Stephen Winn,76,United States,Dallas,Real estate services,Real Estate,United States,,TRUE,E,M,9/12/1946 0:00,Winn,Stephen,,4/4/2023 5:01,Texas,South,1946,9,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Energy,Ian Wood & family,80,United Kingdom,Aberdeen,Energy services,Energy,United Kingdom,,FALSE,E,M,7/21/1942 0:00,Wood,Ian,,4/4/2023 5:01,,,1942,7,21,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1725,1700,Manufacturing,Wu Lanlan & family,49,China,Shenzhen,Packaging,Manufacturing,China,,TRUE,D,F,1/1/1974 0:00,Wu,Lanlan,,4/4/2023 5:01,,,1974,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Food & Beverage,Xu Bingzhong,49,China,Shenzhen,Bars,Food & Beverage,China,,TRUE,U,M,1/1/1974 0:00,Xu,Bingzhong,,4/4/2023 5:01,,,1974,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Manufacturing,Yang Xuegang,58,China,Beijing,Coking,Manufacturing,China,,TRUE,D,M,2/1/1965 0:00,Yang,Xuegang,,4/4/2023 5:01,,,1965,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Telecom,Vladimir Yevtushenkov,74,Russia,Moscow,"Telecom, investments",Telecom,Russia,,TRUE,E,M,9/25/1948 0:00,Yevtushenkov,Vladimir,,4/4/2023 5:01,,,1948,9,25,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1725,1700,Technology,David Zalik,49,United States,Atlanta,Financial technology,Technology,United States,GreenSky,TRUE,D,M,2/2/1974 0:00,Zalik,David,CEO,4/4/2023 5:01,Georgia,South,1974,2,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1725,1700,Logistics,Zhang Xiaojuan,53,China,Shanghai,Logistics,Logistics,China,,TRUE,D,F,10/1/1969 0:00,Zhang,Xiaojuan,,4/4/2023 5:01,,,1969,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Manufacturing,Zheng Xiaodong,59,China,Shanghai,Manufacturing,Manufacturing,China,,TRUE,D,M,3/1/1964 0:00,Zheng,Xiaodong,,4/4/2023 5:01,,,1964,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1725,1700,Manufacturing,Zhong Ruonong & family,60,China,Zhuzhou,Electronics,Manufacturing,China,,TRUE,D,F,10/30/1962 0:00,Zhong,Ruonong,,4/4/2023 5:01,,,1962,10,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Healthcare,Noubar Afeyan,60,United States,Lexington,Biotech,Healthcare,United States,,TRUE,D,M,7/25/1962 0:00,Afeyan,Noubar,,4/4/2023 5:01,Massachusetts,Northeast,1962,7,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Construction & Engineering,Syed Mokhtar AlBukhary,71,Malaysia,Kuala Lumpur,"Engineering, automotive",Construction & Engineering,Malaysia,,TRUE,U,M,12/12/1951 0:00,AlBukhary,Syed Mokhtar,,4/4/2023 5:01,,,1951,12,12,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +1804,1600,Finance & Investments,"Herbert Allen, Jr. & family",83,United States,New York,Investment banking,Finance & Investments,United States,,FALSE,E,M,3/5/1940 0:00,Allen,Herbert,,4/4/2023 5:01,New York,Northeast,1940,3,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Metals & Mining,Vasily Anisimov,71,Switzerland,,Real estate,Metals & Mining,Russia,,TRUE,E,M,9/19/1951 0:00,Anisimov,Vasily,,4/4/2023 5:01,,,1951,9,19,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1804,1600,Finance & Investments,Clifford Asness,56,United States,Greenwich,Money management,Finance & Investments,United States,AQR Capital Management,TRUE,E,M,10/17/1966 0:00,Asness,Clifford,,4/4/2023 5:01,Connecticut,Northeast,1966,10,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Finance & Investments,Louis Bacon,66,United States,Oyster Bay,Hedge funds,Finance & Investments,United States,"Moore Capital Management, LP",TRUE,E,M,7/25/1956 0:00,Bacon,Louis,Founder,4/4/2023 5:01,New York,Northeast,1956,7,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Manufacturing,Bai Baokun,53,China,Dongguan,Hardware,Manufacturing,China,,TRUE,D,M,,Bai,Baokun,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Fashion & Retail,Alex Birkenstock,54,,,Shoes,Fashion & Retail,Germany,,FALSE,D,M,11/18/1968 0:00,Birkenstock,Alex,,4/4/2023 5:01,,,1968,11,18,,,,,,,,,,, +1804,1600,Fashion & Retail,Christian Birkenstock,50,Austria,Kitzbuhel,Shoes,Fashion & Retail,Germany,,FALSE,D,M,9/21/1972 0:00,Birkenstock,Christian,,4/4/2023 5:01,,,1972,9,21,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +1804,1600,Food & Beverage,Josef Boquoi & family,89,Germany,Straelen,Frozen foods,Food & Beverage,Germany,,TRUE,D,M,1/1/1934 0:00,Boquoi,Josef,,4/4/2023 5:01,,,1934,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1804,1600,Technology,Cai Huabo,47,China,Jiujiang,Electronics,Technology,China,,TRUE,N,M,1/1/1976 0:00,Cai,Huabo,,4/4/2023 5:01,,,1976,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Technology,Chen Tianshi,38,China,Beijing,Semiconductors,Technology,China,,TRUE,E,M,1/1/1985 0:00,Chen,Tianshi,,4/4/2023 5:01,,,1985,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Real Estate,Chen Yung-tai,87,Taiwan,Taipei,Real estate,Real Estate,Taiwan,,TRUE,D,M,1/20/1936 0:00,Chen,Yung-tai,,4/4/2023 5:01,,,1936,1,20,,,,,,,,,,, +1804,1600,Technology,Chey Tae-won,62,South Korea,Seoul,"Oil, semiconductor",Technology,South Korea,SK Holdings,FALSE,D,M,12/3/1960 0:00,Chey,Tae-won,,4/4/2023 5:01,,,1960,12,3,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +1804,1600,Real Estate,Ivan Chrenko,55,Slovakia,Bratislava,Real estate,Real Estate,Slovakia,,TRUE,D,M,6/27/1967 0:00,Chrenko,Ivan,,4/4/2023 5:01,,,1967,6,27,115.34,2.7,"$105,422,304,976 ",46.6,98.7,77.2,18.7,49.7,5454073,48.669026,19.699024 +1804,1600,Construction & Engineering,Robert Clark,64,United States,St. Louis,Construction,Construction & Engineering,United States,,TRUE,E,M,1/30/1959 0:00,Clark,Robert,,4/4/2023 5:01,Missouri,Midwest,1959,1,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Finance & Investments,Jack Cockwell,82,Canada,Toronto,"Real estate, private equity",Finance & Investments,Canada,,TRUE,D,M,1/12/1941 0:00,Cockwell,Jack,,4/4/2023 5:01,,,1941,1,12,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1804,1600,Finance & Investments,Tench Coxe,65,United States,Palo Alto,Venture capital,Finance & Investments,United States,,TRUE,D,M,1/14/1958 0:00,Coxe,Tench,,4/4/2023 5:01,California,West,1958,1,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Sports,Jim Crane,69,United States,Houston,"Logistics, baseball",Sports,United States,,TRUE,U,M,1/17/1954 0:00,Crane,Jim,,4/4/2023 5:01,Texas,South,1954,1,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Logistics,Norbert Dentressangle,68,France,Lyon,"Transport, logistics",Logistics,France,,TRUE,D,M,7/9/1954 0:00,Dentressangle,Norbert,,4/4/2023 5:01,,,1954,7,9,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +1804,1600,Finance & Investments,Jamie Dimon,67,United States,New York,Banking,Finance & Investments,United States,JPMorgan Chase & Co.,TRUE,E,M,3/13/1956 0:00,Dimon,Jamie,CEO,4/4/2023 5:01,New York,Northeast,1956,3,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Technology,Daniel Dines,51,United States,New York,Software,Technology,Romania,,TRUE,D,M,1/1/1972 0:00,Dines,Daniel,,4/4/2023 5:01,New York,Northeast,1972,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Finance & Investments,Alfredo Egydio Arruda Villela Filho,53,Brazil,Sao Paulo,Banking,Finance & Investments,Brazil,,FALSE,D,M,11/18/1969 0:00,Egydio Arruda Villela Filho,Alfredo,,4/4/2023 5:01,,,1969,11,18,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1804,1600,Metals & Mining,Gary Fegel,49,Switzerland,Gstaad,"Commodities, investments",Metals & Mining,Switzerland,,TRUE,E,M,1/1/1974 0:00,Fegel,Gary,,4/4/2023 5:01,,,1974,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1804,1600,Finance & Investments,"William Foley, II.",78,United States,Las Vegas,Financial services,Finance & Investments,United States,,TRUE,U,M,12/29/1944 0:00,Foley,William,,4/4/2023 5:01,Nevada,West,1944,12,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Fashion & Retail,Richard Fortin,74,Canada,Boucherville,Convinience stores,Fashion & Retail,Canada,,TRUE,U,M,9/1/1948 0:00,Fortin,Richard,,4/4/2023 5:01,,,1948,9,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1804,1600,Healthcare,Gao Yi & family,54,China,Changsha,Pharmaceuticals,Healthcare,China,,TRUE,U,M,10/25/1968 0:00,Gao,Yi,,4/4/2023 5:01,,,1968,10,25,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Healthcare,Giammaria Giuliani,45,Switzerland,Montagnola,Pharmaceuticals,Healthcare,Switzerland,,FALSE,D,M,2/20/1978 0:00,Giuliani,Giammaria,,4/4/2023 5:01,,,1978,2,20,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1804,1600,Finance & Investments,Bill Gross,78,United States,Laguna Beach,Investments,Finance & Investments,United States,Pacific Investment Management Company LLC,TRUE,E,M,4/13/1944 0:00,Gross,Bill,Cofounder and Co-Chief Investment Officer,4/4/2023 5:01,California,West,1944,4,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Finance & Investments,Sue Gross,73,United States,Laguna Beach,Investments,Finance & Investments,United States,,FALSE,E,F,2/17/1950 0:00,Gross,Sue,,4/4/2023 5:01,California,West,1950,2,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Sports,Irving Grousbeck & family,88,United States,Portola Valley,"Telecommunication, sports",Sports,United States,,TRUE,N,M,7/20/1934 0:00,Grousbeck,Irving,,4/4/2023 5:01,California,West,1934,7,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Energy,Timothy Headington,72,United States,Dallas,"Oil & gas, investments",Energy,United States,,FALSE,U,M,4/24/1950 0:00,Headington,Timothy,,4/4/2023 5:01,Texas,South,1950,4,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Manufacturing,Ilona Herlin,58,Finland,Helsinki,"Elevators, escalators",Manufacturing,Finland,,FALSE,U,F,1/1/1965 0:00,Herlin,Ilona,,4/4/2023 5:01,,,1965,1,1,112.33,1,"$268,761,201,365 ",88.2,100.2,81.7,20.8,36.6,5520314,61.92411,25.748151 +1804,1600,Diversified,David Hoffmann,70,United States,Naples,"Executive search, investments",Diversified,United States,,TRUE,U,M,8/7/1952 0:00,Hoffmann,David,,4/4/2023 5:01,Florida,South,1952,8,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Media & Entertainment,Stanley Hubbard,89,United States,St. Paul,DirecTV,Media & Entertainment,United States,"Hubbard Broadcasting, Inc.",FALSE,D,M,5/28/1933 0:00,Hubbard,Stanley,Chairman and CEO,4/4/2023 5:01,Minnesota,Midwest,1933,5,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Manufacturing,Hui Lin Chit,69,China,Jinjiang,Hygiene products,Manufacturing,China,,TRUE,D,M,6/16/1953 0:00,Hui,Lin Chit,,4/4/2023 5:01,,,1953,6,16,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Metals & Mining,Tianjiang Jia & family,60,China,Yinchuan,Non-ferrous metals,Metals & Mining,China,,TRUE,D,M,7/1/1962 0:00,Jia,Tianjiang,,4/4/2023 5:01,,,1962,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Real Estate,Zhaobai Jiang,59,China,Shanghai,Real estate,Real Estate,China,,TRUE,D,M,8/17/1963 0:00,Jiang,Zhaobai,,4/4/2023 5:01,,,1963,8,17,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Fashion & Retail,Sergei Katsiev,65,Russia,Moscow,"Retail, wholesale",Fashion & Retail,Russia,,TRUE,R,M,1/11/1958 0:00,Katsiev,Sergei,,4/4/2023 5:01,,,1958,1,11,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1804,1600,Media & Entertainment,Kim Jae-young,,,,Online games,Media & Entertainment,South Korea,,TRUE,N,M,11/1/1973 0:00,Kim,Jae-young,,4/4/2023 5:01,,,1973,11,1,,,,,,,,,,, +1804,1600,Healthcare,Randal J. Kirk,69,United States,Manalapan,Pharmaceuticals,Healthcare,United States,,TRUE,E,M,3/1/1954 0:00,Kirk,Randal J.,,4/4/2023 5:01,Florida,South,1954,3,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Energy,William Koch,82,United States,Palm Beach,"Oil, investments",Energy,United States,,FALSE,E,M,5/3/1940 0:00,Koch,William,,4/4/2023 5:01,Florida,South,1940,5,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Manufacturing,Pyotr Kondrashev,73,Austria,Wien,Investments,Manufacturing,Russia,,TRUE,U,M,7/16/1949 0:00,Kondrashev,Pyotr,,4/4/2023 5:01,,,1949,7,16,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +1804,1600,Logistics,Eiichi Kuriwada,76,Japan,Osaka,Package delivery,Logistics,Japan,,TRUE,D,M,10/10/1946 0:00,Kuriwada,Eiichi,,4/4/2023 5:01,,,1946,10,10,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +1804,1600,Healthcare,Robert Langer,74,United States,Boston,Biotech,Healthcare,United States,,TRUE,E,M,8/29/1948 0:00,Langer,Robert,,4/4/2023 5:01,Massachusetts,Northeast,1948,8,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Diversified,Anthony Langley,68,United Kingdom,Nottinghamshire,Manufacturing,Diversified,United Kingdom,,TRUE,D,M,12/2/1954 0:00,Langley,Anthony,,4/4/2023 5:01,,,1954,12,2,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1804,1600,Diversified,Marianna Latsis & family,70,Greece,Athens,"Banking, shipping",Diversified,Greece,,FALSE,N,F,3/29/1953 0:00,Latsis,Marianna,,4/4/2023 5:01,,,1953,3,29,101.87,0.2,"$209,852,761,469 ",136.6,99.6,81.3,26.2,51.9,10716322,39.074208,21.824312 +1804,1600,Real Estate,Lee Yeow Seng,45,Malaysia,,"Palm oil, property",Real Estate,Malaysia,,FALSE,Split Family Fortune,M,1/1/1978 0:00,Lee,Yeow Seng,,4/4/2023 5:01,,,1978,1,1,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +1804,1600,Real Estate,Li Sze Lim,66,China,Guangzhou,Real estate,Real Estate,Hong Kong,,TRUE,E,M,4/1/1957 0:00,Li,Sze Lim,,4/4/2023 5:01,,,1957,4,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Real Estate,Li Wa,57,China,Shenzhen,Real estate,Real Estate,Hong Kong,,TRUE,D,M,1/1/1966 0:00,Li,Wa,,4/4/2023 5:01,,,1966,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Technology,Li Weiwei,46,China,Shanghai,Online games,Technology,China,,TRUE,D,M,1/1/1977 0:00,Li,Weiwei,,4/4/2023 5:01,,,1977,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Technology,Liang Qin & family,51,China,Yangzhou,Semiconductor devices,Technology,China,,TRUE,D,F,10/26/1971 0:00,Liang,Qin,,4/4/2023 5:01,,,1971,10,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Real Estate,Vincent Lo,75,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,E,M,4/1/1948 0:00,Lo,Vincent,,4/4/2023 5:01,,,1948,4,1,,,,,,,,,,, +1804,1600,Telecom,Terence (Terry) Matthews,80,Canada,Ottawa,Telecom,Telecom,Canada,,TRUE,E,M,4/1/1943 0:00,Matthews,Terence (Terry),,4/4/2023 5:01,,,1943,4,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1804,1600,Technology,Jim McKelvey,57,United States,St. Louis,Mobile payments,Technology,United States,,TRUE,D,M,10/19/1965 0:00,McKelvey,Jim,,4/4/2023 5:01,Missouri,Midwest,1965,10,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Real Estate,P.N.C. Menon,74,United Arab Emirates,Dubai,Real estate,Real Estate,Oman,,TRUE,R,M,11/17/1948 0:00,Menon,P.N.C.,,4/4/2023 5:01,,,1948,11,17,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +1804,1600,Energy,Massimo Moratti,77,Italy,Milan,Oil refinery,Energy,Italy,,FALSE,U,M,5/16/1945 0:00,Moratti,Massimo,,4/4/2023 5:01,,,1945,5,16,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1804,1600,Finance & Investments,Liora Ofer,69,Israel,Tel Aviv,Investments,Finance & Investments,Israel,,FALSE,D,F,12/22/1953 0:00,Ofer,Liora,,4/4/2023 5:01,,,1953,12,22,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +1804,1600,Automotive,Stefan Pierer,66,Austria,Wels,Automotive,Automotive,Austria,,TRUE,U,M,11/25/1956 0:00,Pierer,Stefan,,4/4/2023 5:01,,,1956,11,25,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +1804,1600,Finance & Investments,Andreas Pohl,58,Germany,Marburg,Mutual funds,Finance & Investments,Germany,,FALSE,U,M,7/28/1964 0:00,Pohl,Andreas,,4/4/2023 5:01,,,1964,7,28,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1804,1600,Finance & Investments,"Reinfried Pohl, Jr.",63,Germany,Marburg,Mutual funds,Finance & Investments,Germany,,FALSE,U,M,11/2/1959 0:00,Pohl,Reinfried,,4/4/2023 5:01,,,1959,11,2,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1804,1600,Energy,Michael Polsky,74,United States,Chicago,Electric power,Energy,United States,,TRUE,U,M,1/1/1949 0:00,Polsky,Michael,,4/4/2023 5:01,Illinois,Midwest,1949,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Manufacturing,Francisco Jose Riberas Mera,58,Spain,Madrid,"Steel, autoparts",Manufacturing,Spain,,FALSE,U,M,6/1/1964 0:00,Riberas Mera,Francisco Jose,,4/4/2023 5:01,,,1964,6,1,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1804,1600,Metals & Mining,Juan Maria Riberas Mera,54,Spain,Madrid,"Steel, investments",Metals & Mining,Spain,,FALSE,R,M,10/1/1968 0:00,Riberas Mera,Juan Maria,,4/4/2023 5:01,,,1968,10,1,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +1804,1600,Food & Beverage,Andres Santo Domingo,44,United States,New York,Beer,Food & Beverage,United States,,FALSE,E,M,6/1/1978 0:00,Santo Domingo,Andres,,4/4/2023 5:01,New York,Northeast,1978,6,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Food & Beverage,Sathien Sathientham,68,Thailand,Bangkok,energy drinks,Food & Beverage,Thailand,,TRUE,E,M,4/20/1954 0:00,Sathientham,Sathien,,4/4/2023 5:01,,,1954,4,20,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1804,1600,Manufacturing,Shang Xiaobo & family,49,China,Hefei,Manufacturing,Manufacturing,China,,TRUE,D,M,3/30/1974 0:00,Shang,Xiaobo,,4/4/2023 5:01,,,1974,3,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Food & Beverage,Yuri Shefler,55,Switzerland,Geneva,Alcohol,Food & Beverage,Russia,,TRUE,U,M,9/10/1967 0:00,Shefler,Yuri,,4/4/2023 5:01,,,1967,9,10,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1804,1600,Metals & Mining,Evgeny (Eugene) Shvidler,59,United Kingdom,London,"Metals, investments",Metals & Mining,United States,,TRUE,E,M,3/23/1964 0:00,Shvidler,Evgeny (Eugene),,4/4/2023 5:01,,,1964,3,23,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1804,1600,Technology,Ryan Smith,44,United States,Provo,Cloud computing,Technology,United States,Qualtrics,TRUE,E,M,6/28/1978 0:00,Smith,Ryan,Co-Founder & CEO,4/4/2023 5:01,Utah,West,1978,6,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Diversified,Zakhar Smushkin,61,Russia,Saint Petersburg,"Pulp and paper, diversified",Diversified,Russia,,TRUE,R,M,1/23/1962 0:00,Smushkin,Zakhar,,4/4/2023 5:01,,,1962,1,23,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1804,1600,Service,Peter Sperling,63,United States,Phoenix,Education,Service,United States,,FALSE,E,M,11/22/1959 0:00,Sperling,Peter,,4/4/2023 5:01,Arizona,West,1959,11,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Diversified,Laurie Tisch,72,United States,New York,"Insurance, NFL team",Diversified,United States,,FALSE,U,F,2/19/1951 0:00,Tisch,Laurie,,4/4/2023 5:01,New York,Northeast,1951,2,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Diversified,Steven Tisch,74,United States,Beverly Hills,Insurance,Diversified,United States,,FALSE,U,M,2/14/1949 0:00,Tisch,Steven,,4/4/2023 5:01,California,West,1949,2,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Manufacturing,Michael Tojner,57,Austria,Vienna,"Batteries, investments",Manufacturing,Austria,,TRUE,D,M,3/31/1966 0:00,Tojner,Michael,,4/4/2023 5:01,,,1966,3,31,118.06,1.5,"$446,314,739,528 ",85.1,103.1,81.6,25.4,51.4,8877067,47.516231,14.550072 +1804,1600,Healthcare,August Troendle,67,United States,Cincinnati,Pharmaceutical services,Healthcare,United States,,TRUE,U,M,1/1/1956 0:00,Troendle,August,,4/4/2023 5:01,Ohio,Midwest,1956,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Manufacturing,Tseng Sing-ai,,Taiwan,,Petrochemicals,Manufacturing,Taiwan,,FALSE,E,F,,Tseng,Sing-ai,,4/4/2023 5:01,,,,,,,,,,,,,,,, +1804,1600,Technology,Sekar Vembu,51,India,Chennai,Business software,Technology,India,,TRUE,U,M,1/1/1972 0:00,Vembu,Sekar,,4/4/2023 5:01,,,1972,1,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1804,1600,Energy,Chris Wallin,70,Australia,Brisbane,Mining,Energy,Australia,,TRUE,R,M,1/1/1953 0:00,Wallin,Chris,,4/4/2023 5:01,,,1953,1,1,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1804,1600,Media & Entertainment,Wang Changtian,57,China,Beijing,"TV, movie production",Media & Entertainment,China,,TRUE,D,M,4/26/1965 0:00,Wang,Changtian,,4/4/2023 5:01,,,1965,4,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Media & Entertainment,Ning Wang & family,36,China,Beijing,Toys,Media & Entertainment,China,,TRUE,D,M,1/1/1987 0:00,Wang,Ning,,4/4/2023 5:01,,,1987,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Technology,Scott Watterson,67,United States,Logan,Fitness equipment,Technology,United States,,TRUE,E,M,5/18/1955 0:00,Watterson,Scott,,4/4/2023 5:01,Utah,West,1955,5,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Energy,Dan Wilks,66,United States,Cisco,Natural gas,Energy,United States,,TRUE,U,M,5/30/1956 0:00,Wilks,Dan,,4/4/2023 5:01,Texas,South,1956,5,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Fashion & Retail,Alan Wilson,82,Australia,Melbourne,Retailing,Fashion & Retail,Australia,,FALSE,Split Family Fortune,M,10/28/1940 0:00,Wilson,Alan,,4/4/2023 5:01,,,1940,10,28,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1804,1600,Fashion & Retail,Bruce Wilson,76,Australia,Melbourne,Retailing,Fashion & Retail,Australia,,FALSE,Split Family Fortune,M,4/19/1946 0:00,Wilson,Bruce,,4/4/2023 5:01,,,1946,4,19,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1804,1600,Fashion & Retail,John Wilson,85,Australia,Melbourne,Retailing,Fashion & Retail,Australia,,FALSE,Split Family Fortune,M,12/31/1937 0:00,Wilson,John,,4/4/2023 5:01,,,1937,12,31,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1804,1600,Technology,Anthony Wood,57,United States,Palo Alto,Roku,Technology,United States,,TRUE,D,M,12/4/1965 0:00,Wood,Anthony,,4/4/2023 5:01,California,West,1965,12,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Manufacturing,Wu Ying,58,China,Xianyang,Materials,Manufacturing,China,,TRUE,D,M,4/16/1964 0:00,Wu,Ying,,4/4/2023 5:01,,,1964,4,16,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Healthcare,Wu Yulan,53,China,Lianyungang,Pharmaceuticals,Healthcare,China,,TRUE,D,F,8/26/1969 0:00,Wu,Yulan,,4/4/2023 5:01,,,1969,8,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Technology,Zhongyi Wu,49,China,Xiamen,electronics,Technology,China,,TRUE,D,M,10/28/1973 0:00,Wu,Zhongyi,,4/4/2023 5:01,,,1973,10,28,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Manufacturing,Xiang Guangming & family,59,China,Wenzhou,Waste disposal,Manufacturing,China,,TRUE,D,M,10/1/1963 0:00,Xiang,Guangming,,4/4/2023 5:01,,,1963,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Technology,Xue Xiangdong & family,64,China,Beijing,Software,Technology,China,,TRUE,D,M,2/10/1959 0:00,Xue,Xiangdong,,4/4/2023 5:01,,,1959,2,10,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Healthcare,George Yancopoulos,63,United States,Yorktown Heights,Pharmaceuticals,Healthcare,United States,,TRUE,U,M,9/10/1959 0:00,Yancopoulos,George,,4/4/2023 5:01,New York,Northeast,1959,9,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1804,1600,Technology,Steven Meng Yang & family,40,China,Changsha,Electronics,Technology,China,,TRUE,D,M,5/1/1982 0:00,Yang,Steven Meng,,4/4/2023 5:01,,,1982,5,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Automotive,Ye Fan & family,52,China,Dongguan,Auto dealerships,Automotive,China,,TRUE,D,M,1/1/1971 0:00,Ye,Fan,,4/4/2023 5:01,,,1971,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Diversified,Yi Dasheng,62,China,Changsha,Conglomerate,Diversified,China,,TRUE,D,M,2/1/1961 0:00,Yi,Dasheng,,4/4/2023 5:01,,,1961,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Manufacturing,Yu Lili,55,China,Changsha,Electronic components,Manufacturing,China,,TRUE,D,F,1/1/1968 0:00,Yu,Lili,,4/4/2023 5:01,,,1968,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Technology,Zeng Kaitian,48,China,Shanghai,Online games,Technology,China,,TRUE,D,M,1/1/1975 0:00,Zeng,Kaitian,,4/4/2023 5:01,,,1975,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Metals & Mining,Zhang Xuexin & family,75,China,Liaocheng,Aluminum,Metals & Mining,China,,TRUE,D,M,7/1/1947 0:00,Zhang,Xuexin,,4/4/2023 5:01,,,1947,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Food & Beverage,Yubai Zhang,58,China,Suqian,Wine,Food & Beverage,China,,TRUE,D,M,10/1/1964 0:00,Zhang,Yubai,,4/4/2023 5:01,,,1964,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1804,1600,Gambling & Casinos,Fredrik Österberg,52,Sweden,Stockholm,Gambling products,Gambling & Casinos,Sweden,,TRUE,U,M,1/19/1971 0:00,Österberg,Fredrik,,4/4/2023 5:01,,,1971,1,19,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1905,1500,Food & Beverage,Shiv Kishan Agrawal,82,India,Nagpur,Snacks,Food & Beverage,India,,FALSE,N,M,1/1/1941 0:00,Agrawal,Shiv Kishan,,4/4/2023 5:01,,,1941,1,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1905,1500,Diversified,Aziz Akhannouch & family,62,Morocco,Casablanca,"Petroleum, diversified",Diversified,Morocco,,FALSE,D,M,1/1/1961 0:00,Akhannouch,Aziz,,4/4/2023 5:01,,,1961,1,1,111.07,0.2,"$118,725,279,596 ",35.9,113.9,76.5,21.9,45.8,36910560,31.791702,-7.09262 +1905,1500,Diversified,Hamdi Akin & family,68,Turkey,Istanbul,Diversified,Diversified,Turkey,,TRUE,E,M,1/1/1955 0:00,Akin,Hamdi,,4/4/2023 5:01,,,1955,1,1,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1905,1500,Manufacturing,Nerio Alessandri,61,Italy,Cesena,Gym equipment,Manufacturing,Italy,,TRUE,U,M,4/8/1961 0:00,Alessandri,Nerio,,4/4/2023 5:01,,,1961,4,8,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1905,1500,Diversified,Alexandra Andresen,26,Norway,Oslo,Investments,Diversified,Norway,,FALSE,U,F,7/23/1996 0:00,Andresen,Alexandra,,4/4/2023 5:01,,,1996,7,23,120.27,2.2,"$403,336,363,636 ",82,100.3,82.8,23.9,36.2,5347896,60.472024,8.468946 +1905,1500,Diversified,Katharina Andresen,27,Norway,Oslo,Investments,Diversified,Norway,,FALSE,U,F,5/21/1995 0:00,Andresen,Katharina,,4/4/2023 5:01,,,1995,5,21,120.27,2.2,"$403,336,363,636 ",82,100.3,82.8,23.9,36.2,5347896,60.472024,8.468946 +1905,1500,Diversified,Patricia Angelini Rossi,68,Chile,Santiago,"Forestry, mining",Diversified,Chile,,FALSE,U,F,4/5/1954 0:00,Angelini Rossi,Patricia,,4/4/2023 5:01,,,1954,4,5,131.91,2.6,"$282,318,159,745 ",88.5,101.4,80,18.2,34,18952038,-35.675147,-71.542969 +1905,1500,Healthcare,Mori Arkin,70,Israel,Herzliya Pituach,Pharmaceuticals,Healthcare,Israel,,TRUE,D,M,9/24/1952 0:00,Arkin,Mori,,4/4/2023 5:01,,,1952,9,24,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +1905,1500,Fashion & Retail,Barbara Benetton,53,Italy,Campodoro,"Fashion retail, investments",Fashion & Retail,Italy,,FALSE,U,F,7/2/1969 0:00,Benetton,Barbara,,4/4/2023 5:01,,,1969,7,2,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1905,1500,Metals & Mining,Angela Bennett,79,Australia,Perth,Mining,Metals & Mining,Australia,,FALSE,U,F,4/1/1944 0:00,Bennett,Angela,,4/4/2023 5:01,,,1944,4,1,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1905,1500,Diversified,Zadik Bino & family,79,Israel,Tel Aviv,"Banking, oil",Diversified,Israel,,TRUE,D,M,1/1/1944 0:00,Bino,Zadik,,4/4/2023 5:01,,,1944,1,1,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +1905,1500,Fashion & Retail,Paolo Bulgari,85,Italy,Rome,Luxury goods,Fashion & Retail,Italy,,FALSE,E,M,9/8/1937 0:00,Bulgari,Paolo,,4/4/2023 5:01,,,1937,9,8,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1905,1500,Food & Beverage,Saket Burman,46,United Arab Emirates,Dubai,Consumer goods,Food & Beverage,United Kingdom,,FALSE,D,M,3/10/1977 0:00,Burman,Saket,,4/4/2023 5:01,,,1977,3,10,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +1905,1500,Diversified,Ahmet Calik,65,Turkey,Istanbul,"Energy, banking, construction",Diversified,Turkey,,TRUE,E,M,3/1/1958 0:00,Calik,Ahmet,,4/4/2023 5:01,,,1958,3,1,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +1905,1500,Technology,Safra Catz,61,United States,Redwood City,Software,Technology,United States,Oracle,TRUE,E,F,12/13/1961 0:00,Catz,Safra,CEO,4/4/2023 5:01,California,South,1961,12,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Logistics,Chang Kuo-Hua,68,Taiwan,Taipei,"Shipping, airlines",Logistics,Taiwan,,FALSE,D,M,1/1/1955 0:00,Chang,Kuo-Hua,,4/4/2023 5:01,,,1955,1,1,,,,,,,,,,, +1905,1500,Manufacturing,Chu Jian,60,China,Hangzhou,Manufacturing,Manufacturing,China,,TRUE,U,M,4/1/1963 0:00,Chu,Jian,,4/4/2023 5:01,,,1963,4,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Diversified,Sandor Csanyi,70,Hungary,Budapest,"Finance, real estate",Diversified,Hungary,,TRUE,U,M,3/20/1953 0:00,Csanyi,Sandor,,4/4/2023 5:01,,,1953,3,20,121.64,3.3,"$160,967,157,504 ",48.5,100.8,75.8,23,37.9,9769949,47.162494,19.503304 +1905,1500,Finance & Investments,Ana Lucia de Mattos Barretto Villela,49,Brazil,Sao Paulo,Banking,Finance & Investments,Brazil,,FALSE,D,F,10/25/1973 0:00,de Mattos Barretto Villela,Ana Lucia,,4/4/2023 5:01,,,1973,10,25,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1905,1500,Manufacturing,Federico De Nora,55,Italy,Milan,Electrodes,Manufacturing,Italy,,FALSE,D,M,3/23/1968 0:00,De Nora,Federico,,4/4/2023 5:01,,,1968,3,23,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1905,1500,Technology,Bharat Desai,70,United States,Fisher Island,IT consulting,Technology,United States,Syntel,TRUE,E,M,11/20/1952 0:00,Desai,Bharat,Chairman and Co-founder,4/4/2023 5:01,Florida,South,1952,11,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Diversified,Mohammed Dewji,47,Tanzania,Dar es Salaam,Diversified,Diversified,Tanzania,,FALSE,E,M,5/8/1975 0:00,Dewji,Mohammed,,4/4/2023 5:01,,,1975,5,8,187.43,3.5,"$63,177,068,175 ",4,94.2,65,11.5,43.8,58005463,-6.369028,34.888822 +1905,1500,Finance & Investments,Egon Durban,49,United States,Atherton,Private equity,Finance & Investments,United States,,TRUE,E,M,8/23/1973 0:00,Durban,Egon,,4/4/2023 5:01,California,West,1973,8,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Manufacturing,Fu Mingkang & family,60,China,Ningbo,Manufacturing,Manufacturing,China,,TRUE,D,M,3/17/1963 0:00,Fu,Mingkang,,4/4/2023 5:01,,,1963,3,17,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Media & Entertainment,Alan Gerry,94,United States,Liberty,Cable television,Media & Entertainment,United States,,TRUE,E,M,12/25/1928 0:00,Gerry,Alan,,4/4/2023 5:01,New York,Northeast,1928,12,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Fashion & Retail,Philippe Ginestet & family,69,France,Pujols,Retail stores,Fashion & Retail,France,,TRUE,D,M,1/1/1954 0:00,Ginestet,Philippe,,4/4/2023 5:01,,,1954,1,1,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +1905,1500,Logistics,G. Gnanalingam,78,Malaysia,Kuala Lumpur,Ports,Logistics,Malaysia,,TRUE,D,M,9/10/1944 0:00,Gnanalingam,G.,,4/4/2023 5:01,,,1944,9,10,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +1905,1500,Fashion & Retail,Esther Grether,87,Switzerland,Basel,Art collection,Fashion & Retail,Switzerland,,FALSE,E,F,1/1/1936 0:00,Grether,Esther,,4/4/2023 5:01,,,1936,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1905,1500,Manufacturing,Wei Gu,58,China,Shenzhen,Consumer electronics,Manufacturing,China,,TRUE,E,M,1/27/1965 0:00,Gu,Wei,,4/4/2023 5:01,,,1965,1,27,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Technology,Patrick Hanrahan,67,United States,Portola Valley,Software,Technology,United States,,TRUE,D,M,5/8/1955 0:00,Hanrahan,Patrick,,4/4/2023 5:01,California,West,1955,5,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Finance & Investments,Kenneth Hao,54,United States,Hillsborough,Private equity,Finance & Investments,United States,,TRUE,E,M,9/11/1968 0:00,Hao,Kenneth,,4/4/2023 5:01,California,West,1968,9,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Finance & Investments,Jaroslav Hascak & family,53,Slovakia,Bratislava,Investments,Finance & Investments,Slovakia,,TRUE,U,M,8/30/1969 0:00,Hascak,Jaroslav,,4/4/2023 5:01,,,1969,8,30,115.34,2.7,"$105,422,304,976 ",46.6,98.7,77.2,18.7,49.7,5454073,48.669026,19.699024 +1905,1500,Manufacturing,He Zhenggang,69,China,Leshan,Chemicals,Manufacturing,China,,TRUE,D,M,3/25/1954 0:00,He,Zhenggang,,4/4/2023 5:01,,,1954,3,25,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Real Estate,Niranjan Hiranandani,73,India,Mumbai,Real estate,Real Estate,India,,TRUE,E,M,3/8/1950 0:00,Hiranandani,Niranjan,,4/4/2023 5:01,,,1950,3,8,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1905,1500,Finance & Investments,Ho Hung Anh,52,Vietnam,Hanoi,"Consumer products, banking",Finance & Investments,Vietnam,,TRUE,D,M,6/8/1970 0:00,Ho,Hung Anh,,4/4/2023 5:01,,,1970,6,8,163.52,2.8,"$261,921,244,843 ",28.5,110.6,75.3,19.1,37.6,96462106,14.058324,108.277199 +1905,1500,Technology,Archie Hwang,70,Taiwan,Taipei,Semiconductors,Technology,Taiwan,,TRUE,D,M,8/20/1952 0:00,Hwang,Archie,,4/4/2023 5:01,,,1952,8,20,,,,,,,,,,, +1905,1500,Media & Entertainment,Peter Jackson,61,New Zealand,Wellington,"Movies, digital effects",Media & Entertainment,New Zealand,Film,TRUE,E,M,10/31/1961 0:00,Jackson,Peter,Director,4/4/2023 5:01,,,1961,10,31,114.24,1.6,"$206,928,765,544 ",82,100,81.9,29,34.6,4841000,-40.900557,174.885971 +1905,1500,Finance & Investments,Stephen Jarislowsky,97,Canada,Montreal,Money management,Finance & Investments,Canada,Jarislowsky & Fraser,TRUE,D,M,9/9/1925 0:00,Jarislowsky,Stephen,Cofounder and Chairman,4/4/2023 5:01,,,1925,9,9,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +1905,1500,Healthcare,Rajeev Juneja,57,India,Delhi,Phamaceuticals,Healthcare,India,,TRUE,U,M,7/28/1965 0:00,Juneja,Rajeev,,4/4/2023 5:01,,,1965,7,28,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1905,1500,Healthcare,Ramesh Juneja,67,India,Delhi,Pharmaceuticals,Healthcare,India,,TRUE,U,M,7/28/1955 0:00,Juneja,Ramesh,,4/4/2023 5:01,,,1955,7,28,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1905,1500,Diversified,Ke Xiping & family,62,China,Xiamen,Investments,Diversified,China,,TRUE,E,M,6/7/1960 0:00,Ke,Xiping,,4/4/2023 5:01,,,1960,6,7,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Diversified,Kim Jun-ki,78,South Korea,Seoul,Diversified,Diversified,South Korea,Dongbu Insurance Co. Ltd.,TRUE,U,M,12/4/1944 0:00,Kim,Jun-ki,,4/4/2023 5:01,,,1944,12,4,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +1905,1500,Fashion & Retail,Sidney Kimmel,95,United States,New York,Retail,Fashion & Retail,United States,,TRUE,E,M,1/16/1928 0:00,Kimmel,Sidney,,4/4/2023 5:01,New York,Northeast,1928,1,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Food & Beverage,Jim Koch,73,United States,Newton,Beer,Food & Beverage,United States,,TRUE,D,M,5/27/1949 0:00,Koch,Jim,,4/4/2023 5:01,Massachusetts,Northeast,1949,5,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Real Estate,Raj Kumar,68,Singapore,Singapore,"Real estate, hotels",Real Estate,Singapore,,TRUE,Split Family Fortune,M,5/25/1954 0:00,Kumar,Raj,,4/4/2023 5:01,,,1954,5,25,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1905,1500,Diversified,Spiro Latsis & family,76,Switzerland,Geneva,"Banking, shipping",Diversified,Greece,,FALSE,R,M,8/15/1946 0:00,Latsis,Spiro,,4/4/2023 5:01,,,1946,8,15,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +1905,1500,Manufacturing,Peter Leibinger,56,Germany,Schwieberdingen,Machine tools,Manufacturing,Germany,,FALSE,D,M,1/1/1967 0:00,Leibinger,Peter,,4/4/2023 5:01,,,1967,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1905,1500,Manufacturing,Regine Leibinger,60,Germany,Berlin,Machine tools,Manufacturing,Germany,,FALSE,D,F,1/1/1963 0:00,Leibinger,Regine,,4/4/2023 5:01,,,1963,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1905,1500,Manufacturing,Nicola Leibinger-Kammueller,63,Germany,Berlin,Manufacturing,Manufacturing,Germany,,FALSE,D,F,12/15/1959 0:00,Leibinger-Kammueller,Nicola,,4/4/2023 5:01,,,1959,12,15,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +1905,1500,Manufacturing,Li Jianli,50,China,Shenzhen,Lithium-ion battery cap,Manufacturing,China,,TRUE,D,M,9/27/1972 0:00,Li,Jianli,,4/4/2023 5:01,,,1972,9,27,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Manufacturing,Li Jiaquan,59,China,Chengdu,Chemicals,Manufacturing,China,,TRUE,D,M,9/6/1963 0:00,Li,Jiaquan,,4/4/2023 5:01,,,1963,9,6,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Fashion & Retail,Li Rucheng,71,China,Ningbo,Apparel,Fashion & Retail,China,,TRUE,D,M,6/13/1951 0:00,Li,Rucheng,,4/4/2023 5:01,,,1951,6,13,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Manufacturing,Li Shui-po,66,China,Kunshan,Stainless steel products,Manufacturing,Taiwan,,TRUE,U,M,8/1/1956 0:00,Li,Shui-po,,4/4/2023 5:01,,,1956,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Technology,Scott Lin,90,Taiwan,Taichung,Optical components,Technology,Taiwan,,TRUE,U,M,1/1/1933 0:00,Lin,Scott,,4/4/2023 5:01,,,1933,1,1,,,,,,,,,,, +1905,1500,Manufacturing,Liu Xiucai & family,66,China,Shanghai,Chemicals,Manufacturing,United States,,TRUE,D,M,3/1/1957 0:00,Liu,Xiucai,,4/4/2023 5:01,,,1957,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Automotive,Lu Zhongfang,80,China,Tonghua,Education,Automotive,China,,TRUE,D,F,12/1/1942 0:00,Lu,Zhongfang,,4/4/2023 5:01,,,1942,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Logistics,Lu Zongjun,59,China,Shanghai,Logistics,Logistics,China,,TRUE,D,M,6/1/1963 0:00,Lu,Zongjun,,4/4/2023 5:01,,,1963,6,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Diversified,Youssef Mansour,77,Egypt,Cairo,Diversified,Diversified,Egypt,,TRUE,E,M,5/21/1945 0:00,Mansour,Youssef,,4/4/2023 5:01,,,1945,5,21,288.57,9.2,"$303,175,127,598 ",35.2,106.3,71.8,12.5,44.4,100388073,26.820553,30.802498 +1905,1500,Real Estate,Bruce Mathieson,79,Australia,Gold Coast,Hotels,Real Estate,Australia,,TRUE,D,M,2/14/1944 0:00,Mathieson,Bruce,,4/4/2023 5:01,,,1944,2,14,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1905,1500,Diversified,Romano Minozzi,88,Italy,Spilamberto,"Utilities, diversified",Diversified,Italy,,TRUE,D,M,3/6/1935 0:00,Minozzi,Romano,,4/4/2023 5:01,,,1935,3,6,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1905,1500,Finance & Investments,Greg Mondre,48,United States,New York,Private equity,Finance & Investments,United States,,TRUE,E,M,5/20/1974 0:00,Mondre,Greg,,4/4/2023 5:01,New York,Northeast,1974,5,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Fashion & Retail,Mario Moretti Polegato & family,70,Italy,Crocetta del Montello,Shoes,Fashion & Retail,Italy,,TRUE,D,M,8/16/1952 0:00,Moretti Polegato,Mario,,4/4/2023 5:01,,,1952,8,16,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +1905,1500,Service,Robert Mouawad,78,Bahrain,Manama,Fine jewelry,Service,Lebanon,,FALSE,E,M,1/1/1945 0:00,Mouawad,Robert,,4/4/2023 5:01,,,1945,1,1,117.59,2.1,"$38,574,069,149 ",50.5,99.4,77.2,4.2,13.8,1501635,26.0667,50.5577 +1905,1500,Logistics,Jerry Moyes & family,79,United States,Tolleson,Transportation,Logistics,United States,,TRUE,U,M,1/15/1944 0:00,Moyes,Jerry,,4/4/2023 5:01,Arizona,West,1944,1,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Technology,John Ocampo,63,United States,Los Altos,Semiconductors,Technology,United States,,TRUE,U,M,4/5/1959 0:00,Ocampo,John,,4/4/2023 5:01,California,West,1959,4,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Diversified,Stefan Olsson,74,United Kingdom,London,Diversified,Diversified,Sweden,,FALSE,U,M,1/1/1949 0:00,Olsson,Stefan,,4/4/2023 5:01,,,1949,1,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1905,1500,Energy,Rubens Ometto Silveira Mello,73,Brazil,Sao Paulo,"Sugar, ethanol",Energy,Brazil,,FALSE,D,M,1/1/1950 0:00,Ometto Silveira Mello,Rubens,,4/4/2023 5:01,,,1950,1,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +1905,1500,Finance & Investments,Anne Marie See Pastor,,,,Finance,Finance & Investments,Peru,,FALSE,Split Family Fortune,F,,Pastor,Anne Marie See,,4/4/2023 5:01,,,,,,,,,,,,,,,, +1905,1500,Finance & Investments,George Pastor,,,,Finance,Finance & Investments,Peru,,FALSE,Split Family Fortune,M,,Pastor,George,,4/4/2023 5:01,,,,,,,,,,,,,,,, +1905,1500,Finance & Investments,Nelson Peltz,80,United States,Bedford,Investments,Finance & Investments,United States,Trian Fund Management,TRUE,D,M,6/1/1942 0:00,Peltz,Nelson,Founder,4/4/2023 5:01,New York,Northeast,1942,6,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Construction & Engineering,David Penaloza Alanis,49,Mexico,Mexico City,Toll roads,Construction & Engineering,Mexico,,FALSE,U,M,1/1/1974 0:00,Penaloza Alanis,David,,4/4/2023 5:01,,,1974,1,1,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +1905,1500,Fashion & Retail,Karl-Johan Persson,48,Sweden,Stockholm,H&M,Fashion & Retail,Sweden,,FALSE,E,M,3/25/1975 0:00,Persson,Karl-Johan,,4/4/2023 5:01,,,1975,3,25,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1905,1500,Food & Beverage,Mike Repole,55,United States,Windermere,Sports drink,Food & Beverage,United States,,TRUE,E,M,1/21/1968 0:00,Repole,Mike,,4/4/2023 5:01,Florida,South,1968,1,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Food & Beverage,Duke Reyes,66,United States,Palm Beach,Beer distribution,Food & Beverage,United States,,FALSE,U,M,3/23/1957 0:00,Reyes,Duke,,4/4/2023 5:01,Florida,South,1957,3,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Real Estate,Kishin RK,39,Singapore,Singapore,"Real estate, hotels",Real Estate,Singapore,,FALSE,Split Family Fortune,M,5/5/1983 0:00,RK,Kishin,,4/4/2023 5:01,,,1983,5,5,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1905,1500,Finance & Investments,Carlos Rodriguez-Pastor,63,Peru,Lima,Finance,Finance & Investments,Peru,,FALSE,Split Family Fortune,M,4/11/1959 0:00,Rodriguez-Pastor,Carlos,,4/4/2023 5:01,,,1959,4,11,129.78,2.1,"$226,848,050,820 ",70.7,106.9,76.5,14.3,36.8,32510453,-9.189967,-75.015152 +1905,1500,Finance & Investments,Christopher Rokos,52,United Kingdom,London,Hedge fund,Finance & Investments,United Kingdom,Rokos Capital Management,TRUE,E,M,9/21/1970 0:00,Rokos,Christopher,CEO & Founder ,4/4/2023 5:01,,,1970,9,21,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +1905,1500,Service,John Ruiz,56,United States,Coral Gables,Healthcare services,Service,United States,,TRUE,N,M,1/7/1967 0:00,Ruiz,John,,4/4/2023 5:01,Florida,South,1967,1,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Technology,Sheryl Sandberg,53,United States,Menlo Park,Facebook,Technology,United States,Meta Platforms,TRUE,D,F,8/28/1969 0:00,Sandberg,Sheryl,COO,4/4/2023 5:01,California,West,1969,8,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Automotive,Amnon Shashua,62,Israel,Kfar Shmaryahu,Automotive technology,Automotive,Israel,,TRUE,E,M,5/26/1960 0:00,Shashua,Amnon,,4/4/2023 5:01,,,1960,5,26,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +1905,1500,Media & Entertainment,Ben Silbermann,40,United States,San Francisco,Social media,Media & Entertainment,United States,Pinterest,TRUE,U,M,7/14/1982 0:00,Silbermann,Ben,Cofounder,4/4/2023 5:01,California,West,1982,7,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Fashion & Retail,Ron Sim,64,Singapore,Singapore,retail,Fashion & Retail,Singapore,,TRUE,U,M,12/1/1958 0:00,Sim,Ron,,4/4/2023 5:01,,,1958,12,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +1905,1500,Finance & Investments,Leonid Simanovsky,73,Russia,Moscow,Investments,Finance & Investments,Russia,,TRUE,R,M,7/19/1949 0:00,Simanovsky,Leonid,,4/4/2023 5:01,,,1949,7,19,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1905,1500,Healthcare,Basudeo Singh,82,India,Mumbai,Pharmaceuticals,Healthcare,India,,TRUE,D,M,11/20/1940 0:00,Singh,Basudeo,,4/4/2023 5:01,,,1940,11,20,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +1905,1500,Technology,Frank Slootman,64,United States,Pleasanton,Software,Technology,United States,,TRUE,D,M,10/3/1958 0:00,Slootman,Frank,,4/4/2023 5:01,California,West,1958,10,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Real Estate,Terry Snow,79,Australia,Canberra,"Airports, real estate",Real Estate,Australia,,TRUE,U,M,12/23/1943 0:00,Snow,Terry,,4/4/2023 5:01,,,1943,12,23,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1905,1500,Real Estate,Axel Stawski,72,United States,Sagaponack,Real estate,Real Estate,United States,,TRUE,U,M,11/14/1950 0:00,Stawski,Axel,,4/4/2023 5:01,New York,Northeast,1950,11,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Finance & Investments,Thomas Steyer,65,United States,San Francisco,Hedge funds,Finance & Investments,United States,,TRUE,E,M,6/27/1957 0:00,Steyer,Thomas,,4/4/2023 5:01,California,West,1957,6,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Fashion & Retail,Sergei Studennikov & family,56,Russia,Moscow,"Liquor stores, supermarkets",Fashion & Retail,Russia,,TRUE,R,M,3/24/1967 0:00,Studennikov,Sergei,,4/4/2023 5:01,,,1967,3,24,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +1905,1500,Real Estate,Su Suyu & family,74,China,Shantou,"Utilities, real estate",Real Estate,China,,TRUE,D,F,11/24/1948 0:00,Su,Suyu,,4/4/2023 5:01,,,1948,11,24,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Technology,Kevin Systrom,39,United States,San Francisco,Instagram,Technology,United States,Instagram,TRUE,E,M,12/30/1983 0:00,Systrom,Kevin,Cofounder,4/4/2023 5:01,California,West,1983,12,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Food & Beverage,Tan Lili,,China,Guangzhou,Feed,Food & Beverage,China,,TRUE,D,F,,Tan,Lili,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Food & Beverage,Tang Binsen,40,China,Beijing,Beverages,Food & Beverage,China,,TRUE,E,M,12/12/1982 0:00,Tang,Binsen,,4/4/2023 5:01,,,1982,12,12,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Technology,Tang Rui,,China,Shanghai,Semiconductors,Technology,China,,TRUE,N,M,,Tang,Rui,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Manufacturing,Prachak Tangkaravakoon,79,Thailand,Bangkok,Paints,Manufacturing,Thailand,,TRUE,U,M,3/26/1944 0:00,Tangkaravakoon,Prachak,,4/4/2023 5:01,,,1944,3,26,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +1905,1500,Healthcare,Jeff Tangney,50,United States,Palo Alto,Healthcare IT,Healthcare,United States,Doximity,TRUE,D,M,8/9/1972 0:00,Tangney,Jeff,CEO,4/4/2023 5:01,California,West,1972,8,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Fashion & Retail,Yuequn Tao,63,China,Hefei,Contact Lens,Fashion & Retail,China,,TRUE,D,M,1/1/1960 0:00,Tao,Yuequn,,4/4/2023 5:01,,,1960,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Telecom,David Teoh,67,Australia,Sydney,Telecom,Telecom,Australia,,TRUE,D,M,1/1/1956 0:00,Teoh,David,,4/4/2023 5:01,,,1956,1,1,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +1905,1500,Manufacturing,Carmen Thyssen,79,Andorra,,"Investments, art",Manufacturing,Spain,,FALSE,U,F,4/23/1943 0:00,Thyssen,Carmen,,4/4/2023 5:01,,,1943,4,23,,,"$3,154,057,987 ",,106.4,,,,77142,42.506285,1.521801 +1905,1500,Automotive,Tran Ba Duong & family,63,Vietnam,Ho Chi Minh City,Automotive,Automotive,Vietnam,,TRUE,D,M,4/1/1960 0:00,Tran,Ba Duong,,4/4/2023 5:01,,,1960,4,1,163.52,2.8,"$261,921,244,843 ",28.5,110.6,75.3,19.1,37.6,96462106,14.058324,108.277199 +1905,1500,Telecom,Kenny Troutt,75,United States,Dallas,Telecom,Telecom,United States,,TRUE,E,M,1/8/1948 0:00,Troutt,Kenny,,4/4/2023 5:01,Texas,South,1948,1,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Gambling & Casinos,Jens von Bahr,52,Sweden,Stockholm,Gambling products,Gambling & Casinos,Sweden,,TRUE,U,M,2/22/1971 0:00,von Bahr,Jens,,4/4/2023 5:01,,,1971,2,22,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +1905,1500,Healthcare,Wang Junmin,54,China,Chengdu,Pharmaceuticals,Healthcare,China,,TRUE,U,M,12/12/1968 0:00,Wang,Junmin,,4/4/2023 5:01,,,1968,12,12,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Healthcare,Weng Xianding,61,China,Shenzhen,Medical devices,Healthcare,China,,TRUE,U,M,11/28/1961 0:00,Weng,Xianding,,4/4/2023 5:01,,,1961,11,28,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Energy,Farris Wilks,71,United States,Cisco,Natural gas,Energy,United States,,TRUE,U,M,2/9/1952 0:00,Wilks,Farris,,4/4/2023 5:01,Texas,South,1952,2,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +1905,1500,Real Estate,Gordon Wu,87,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,TRUE,D,M,12/3/1935 0:00,Wu,Gordon,,4/4/2023 5:01,,,1935,12,3,,,,,,,,,,, +1905,1500,Technology,Xiong Wu,47,China,Shenzhen,Software,Technology,China,,TRUE,E,M,1/1/1976 0:00,Xiong,Wu,,4/4/2023 5:01,,,1976,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Media & Entertainment,Xu Zhenhua,,China,Shanghai,Online games,Media & Entertainment,China,,TRUE,E,M,,Xu,Zhenhua,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Technology,Xu Zhihan,50,China,Wuxi,Electronics,Technology,China,,TRUE,D,M,11/30/1972 0:00,Xu,Zhihan,,4/4/2023 5:01,,,1972,11,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Food & Beverage,Tingdong Yang,62,China,Suqian,Brewery,Food & Beverage,China,,TRUE,D,M,5/20/1960 0:00,Yang,Tingdong,,4/4/2023 5:01,,,1960,5,20,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Service,Michael Minhong Yu,61,China,Beijing,Education,Service,China,,TRUE,R,M,1/1/1962 0:00,Yu,Michael Minhong,,4/4/2023 5:01,,,1962,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Media & Entertainment,Justin Yuan,,China,Shanghai,Online games,Media & Entertainment,China,,TRUE,E,M,,Yuan,Justin,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Service,Zhang Bangxin,43,China,Beijing,Education,Service,China,,TRUE,R,M,1/1/1980 0:00,Zhang,Bangxin,,4/4/2023 5:01,,,1980,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Energy,Zhang Hong,,China,Hangzhou,Solar,Energy,China,,TRUE,Split Family Fortune,F,,Zhang,Hong,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +1905,1500,Fashion & Retail,Zhou Zongwen & family,66,China,Shenzhen,Jewelry,Fashion & Retail,China,,TRUE,D,M,3/1/1957 0:00,Zhou,Zongwen,,4/4/2023 5:01,,,1957,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Diversified,Antti Aarnio-Wihuri,83,Finland,Helsinki,Diversified,Diversified,Finland,,FALSE,D,M,2/24/1940 0:00,Aarnio-Wihuri,Antti,,4/4/2023 5:01,,,1940,2,24,112.33,1,"$268,761,201,365 ",88.2,100.2,81.7,20.8,36.6,5520314,61.92411,25.748151 +2020,1400,Finance & Investments,Alberto Alcocer,80,Spain,Madrid,Investments,Finance & Investments,Spain,,TRUE,U,M,12/7/1942 0:00,Alcocer,Alberto,,4/4/2023 5:01,,,1942,12,7,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +2020,1400,Fashion & Retail,Nigel Austin,52,Australia,Melbourne,Retail,Fashion & Retail,Australia,,TRUE,D,M,9/25/1970 0:00,Austin,Nigel,,4/4/2023 5:01,,,1970,9,25,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +2020,1400,Technology,Binny Bansal,40,Singapore,Singapore,Flipkart,Technology,India,,TRUE,U,M,12/3/1982 0:00,Bansal,Binny,,4/4/2023 5:01,,,1982,12,3,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2020,1400,Healthcare,Girdhari Lal Bawri,75,India,Mumbai,Pharmaceuticals,Healthcare,India,,TRUE,D,M,8/3/1947 0:00,Bawri,Girdhari Lal,,4/4/2023 5:01,,,1947,8,3,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2020,1400,Diversified,John Bloor,79,United Kingdom,Aberdyfi,"Real estate, manufacturing",Diversified,United Kingdom,,TRUE,D,M,6/16/1943 0:00,Bloor,John,,4/4/2023 5:01,,,1943,6,16,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2020,1400,Energy,Vladimir Bogdanov,71,Russia,Surgut,Oil,Energy,Russia,,TRUE,R,M,5/28/1951 0:00,Bogdanov,Vladimir,,4/4/2023 5:01,,,1951,5,28,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2020,1400,Food & Beverage,Amit Burman,53,India,Delhi,Consumer goods,Food & Beverage,India,,FALSE,D,M,7/1/1969 0:00,Burman,Amit,,4/4/2023 5:01,,,1969,7,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2020,1400,Metals & Mining,Cai Jianyong,52,China,Ningbo,Nickel,Metals & Mining,China,,TRUE,N,M,1/1/1971 0:00,Cai ,Jianyong,,4/4/2023 5:01,,,1971,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Technology,Steve Case,64,United States,McLean,AOL,Technology,United States,,TRUE,D,M,8/21/1958 0:00,Case,Steve,,4/4/2023 5:01,Virginia,South,1958,8,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Technology,Chen Wenyuan & family,55,China,Suzhou,Testing equipment,Technology,China,,TRUE,E,M,1/1/1968 0:00,Chen,Wenyuan,,4/4/2023 5:01,,,1968,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Real Estate,Chua Thian Poh,74,Singapore,Singapore,Real estate,Real Estate,Singapore,,TRUE,U,M,7/11/1948 0:00,Chua,Thian Poh,,4/4/2023 5:01,,,1948,7,11,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2020,1400,Finance & Investments,Sasson Dayan & family,83,Brazil,Sao Paulo,Banking,Finance & Investments,Brazil,,TRUE,U,M,4/1/1940 0:00,Dayan,Sasson,,4/4/2023 5:01,,,1940,4,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2020,1400,Metals & Mining,Chris Ellison,65,Australia,Perth,Mining,Metals & Mining,Australia,,TRUE,N,M,6/26/1957 0:00,Ellison,Chris,,4/4/2023 5:01,,,1957,6,26,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +2020,1400,Manufacturing,John Farber,97,United States,New York,Chemicals,Manufacturing,United States,,TRUE,D,M,8/23/1925 0:00,Farber,John,Dr.,4/4/2023 5:01,New York,Northeast,1925,8,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Finance & Investments,J. Christopher Flowers,65,United States,Palm Beach,Investments,Finance & Investments,United States,J.C. Flowers & Co. LLC,TRUE,U,M,10/27/1957 0:00,Flowers,J. Christopher,Founder and Managing Director,4/4/2023 5:01,Florida,South,1957,10,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Fashion & Retail,Reinold Geiger,75,Switzerland,Geneva,Beauty products,Fashion & Retail,Austria,,TRUE,D,M,7/10/1947 0:00,Geiger,Reinold,,4/4/2023 5:01,,,1947,7,10,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +2020,1400,Technology,Ali Ghodsi,44,United States,San Francisco,Data analytics,Technology,Sweden,,TRUE,D,M,12/8/1978 0:00,Ghodsi,Ali,,4/4/2023 5:01,California,West,1978,12,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Diversified,Lance Gokongwei,55,Philippines,Manila,Diversified,Diversified,Philippines,,FALSE,D,M,12/1/1967 0:00,Gokongwei,Lance,,4/4/2023 5:01,,,1967,12,1,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +2020,1400,Food & Beverage,Guan Yihong,53,China,Guangzhou,Restaurant,Food & Beverage,China,,TRUE,U,M,,Guan,Yihong,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Rajinder Gupta,64,India,Ludhiana,"Textiles, paper",Manufacturing,India,,TRUE,D,M,1/2/1959 0:00,Gupta,Rajinder,,4/4/2023 5:01,,,1959,1,2,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2020,1400,Service,Torstein Hagen,80,Switzerland,Lucerne,Cruises,Service,Norway,,TRUE,D,M,2/18/1943 0:00,Hagen,Torstein,,4/4/2023 5:01,,,1943,2,18,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +2020,1400,Construction & Engineering,Ayman Hariri,44,France,Paris,"Construction, investments",Construction & Engineering,Lebanon,,FALSE,E,M,5/16/1978 0:00,Hariri,Ayman,,4/4/2023 5:01,,,1978,5,16,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +2020,1400,Finance & Investments,Alfredo Harp Helu & family,79,Mexico,Mexico City,"Banking, investments",Finance & Investments,Mexico,,TRUE,U,M,3/11/1944 0:00,Harp Helu,Alfredo,,4/4/2023 5:01,,,1944,3,11,141.54,3.6,"$1,258,286,717,125 ",40.2,105.8,75,13.1,55.1,126014024,23.634501,-102.552784 +2020,1400,Automotive,He Xiaopeng,45,China,Guangzhou,Electric vehicles,Automotive,China,,TRUE,D,M,11/3/1977 0:00,He,Xiaopeng,,4/4/2023 5:01,,,1977,11,3,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Fashion & Retail,Christoph Henkel,65,United Kingdom,London,Consumer goods,Fashion & Retail,Germany,,FALSE,E,M,2/11/1958 0:00,Henkel,Christoph,,4/4/2023 5:01,,,1958,2,11,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2020,1400,Fashion & Retail,Daniel Hirschfeld,81,United States,Kearney,Fashion retail,Fashion & Retail,United States,,FALSE,E,M,5/31/1941 0:00,Hirschfeld,Daniel,,4/4/2023 5:01,Nebraska,Midwest,1941,5,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Technology,Drew Houston,40,United States,Austin,Cloud storage service,Technology,United States,Dropbox,TRUE,D,M,3/4/1983 0:00,Houston,Drew,CEO,4/4/2023 5:01,Texas,South,1983,3,4,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Manufacturing,Huang Jinxiang & family,58,China,Xuancheng,Chemicals,Manufacturing,China,,TRUE,U,M,1/27/1965 0:00,Huang,Jinxiang,,4/4/2023 5:01,,,1965,1,27,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Rameshchandra Jain,74,India,Mumbai,Textiles,Manufacturing,India,,TRUE,U,M,6/22/1948 0:00,Jain,Rameshchandra,,4/4/2023 5:01,,,1948,6,22,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2020,1400,Healthcare,Ke Zunhong & family,68,China,Chengdu,Pharmaceuticals,Healthcare,China,,TRUE,D,M,7/1/1954 0:00,Ke,Zunhong,,4/4/2023 5:01,,,1954,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Media & Entertainment,Kim Taek-jin,56,South Korea,Seoul,Online games,Media & Entertainment,South Korea,NCSOFT Corporation,TRUE,D,M,3/14/1967 0:00,Kim,Taek-jin,,4/4/2023 5:01,,,1967,3,14,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +2020,1400,Real Estate,Koh Wee Meng,59,Singapore,Singapore,"Real estate, hotels",Real Estate,Singapore,,TRUE,U,M,7/1/1963 0:00,Koh,Wee Meng,,4/4/2023 5:01,,,1963,7,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2020,1400,Manufacturing,Sergei Kolesnikov,51,Russia,Moscow,Building materials,Manufacturing,Russia,,TRUE,U,M,2/25/1972 0:00,Kolesnikov,Sergei,,4/4/2023 5:01,,,1972,2,25,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2020,1400,Finance & Investments,Hemendra Kothari,76,India,Mumbai,Financial services,Finance & Investments,India,,FALSE,D,M,8/26/1946 0:00,Kothari,Hemendra,,4/4/2023 5:01,,,1946,8,26,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2020,1400,Finance & Investments,Sebastian Kulczyk,42,Switzerland,,Diversified,Finance & Investments,Poland,,FALSE,E,M,11/16/1980 0:00,Kulczyk,Sebastian,,4/4/2023 5:01,,,1980,11,16,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +2020,1400,Real Estate,Kwee Liong Keng,77,Singapore,Singapore,Real estate,Real Estate,Singapore,,FALSE,Split Family Fortune,M,1/1/1946 0:00,Kwee,Liong Keng,,4/4/2023 5:01,,,1946,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2020,1400,Real Estate,Kwee Liong Phing,65,Singapore,Singapore,Real estate,Real Estate,Singapore,,FALSE,Split Family Fortune,M,1/1/1958 0:00,Kwee,Liong Phing,,4/4/2023 5:01,,,1958,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2020,1400,Real Estate,Kwee Liong Seen,70,Singapore,Singapore,Real estate,Real Estate,Singapore,,FALSE,Split Family Fortune,M,1/1/1953 0:00,Kwee,Liong Seen,,4/4/2023 5:01,,,1953,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2020,1400,Real Estate,Kwee Liong Tek,76,Singapore,Singapore,Real estate,Real Estate,Singapore,,FALSE,Split Family Fortune,M,1/1/1947 0:00,Kwee,Liong Tek,,4/4/2023 5:01,,,1947,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2020,1400,Diversified,Kwek Leng Keow,71,Singapore,Singapore,Diversified,Diversified,Singapore,,FALSE,N,M,1/1/1952 0:00,Kwek,Leng Keow,,4/4/2023 5:01,,,1952,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2020,1400,Diversified,Kwek Leng Peck,67,Singapore,Singapore,Diversified,Diversified,Singapore,,FALSE,U,M,1/1/1956 0:00,Kwek,Leng Peck,,4/4/2023 5:01,,,1956,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2020,1400,Real Estate,Raymond Kwok,69,Hong Kong,Hong Kong,Real estate,Real Estate,Hong Kong,,FALSE,U,M,4/10/1953 0:00,Kwok,Raymond,,4/4/2023 5:01,,,1953,4,10,,,,,,,,,,, +2020,1400,Diversified,Lee Ho-jin,60,South Korea,Seoul,Diversified,Diversified,South Korea,Taekwang Industrial,FALSE,U,M,12/8/1962 0:00,Lee,Ho-jin,,4/4/2023 5:01,,,1962,12,8,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +2020,1400,Finance & Investments,Michael Lee-Chin,72,Canada,Burlington,Mutual funds,Finance & Investments,Canada,,TRUE,D,M,1/3/1951 0:00,Lee-Chin,Michael,,4/4/2023 5:01,,,1951,1,3,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +2020,1400,Service,Manfredi Lefebvre d'Ovidio & family,69,Monaco,Monte Carlo,Cruises,Service,Italy,,FALSE,D,M,4/30/1953 0:00,Lefebvre d'Ovidio,Manfredi,,4/4/2023 5:01,,,1953,4,30,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +2020,1400,Fashion & Retail,Bernard Lewis & family,97,United Kingdom,London,Fashion retailer,Fashion & Retail,United Kingdom,,TRUE,U,M,2/10/1926 0:00,Lewis,Bernard,,4/4/2023 5:01,,,1926,2,10,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2020,1400,Metals & Mining,Li Jinyang,,China,Chifeng,Mining,Metals & Mining,China,,FALSE,D,F,,Li,Jinyang,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Automotive,William Li,48,China,Beijing,Electric vehicles,Automotive,China,,TRUE,D,M,1/1/1975 0:00,Li,William,,4/4/2023 5:01,,,1975,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Jenny Lindén Urnes,52,Sweden,Helsingborg,Powdered metal,Manufacturing,Sweden,,FALSE,E,F,3/29/1971 0:00,Lindén Urnes,Jenny,,4/4/2023 5:01,,,1971,3,29,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +2020,1400,Healthcare,Liu Fangyi,53,China,Shanghai,Medical equipment,Healthcare,China,,TRUE,D,M,,Liu,Fangyi,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Technology,K.C. Liu,69,Taiwan,Taipei,Manufacturing,Technology,Taiwan,,TRUE,D,M,3/20/1954 0:00,Liu,K.C.,,4/4/2023 5:01,,,1954,3,20,,,,,,,,,,, +2020,1400,Manufacturing,Liu Ming Chung,60,Hong Kong,Hong Kong,Paper,Manufacturing,Brazil,,TRUE,D,M,1/1/1963 0:00,Liu,Ming Chung,,4/4/2023 5:01,,,1963,1,1,,,,,,,,,,, +2020,1400,Metals & Mining,Anatoly Lomakin,70,Russia,Moscow,Investments,Metals & Mining,Russia,,TRUE,E,M,6/30/1952 0:00,Lomakin,Anatoly,,4/4/2023 5:01,,,1952,6,30,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2020,1400,Food & Beverage,Brandt Louie,79,Canada,Vancouver,Drugstores,Food & Beverage,Canada,,FALSE,D,M,7/5/1943 0:00,Louie,Brandt,,4/4/2023 5:01,,,1943,7,5,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +2020,1400,Diversified,Lucia Maggi & family,90,Brazil,Rondonopolis,Agribusiness,Diversified,Brazil,,TRUE,Split Family Fortune,F,7/20/1932 0:00,Maggi,Lucia,Philanthropist,4/4/2023 5:01,,,1932,7,20,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2020,1400,Media & Entertainment,Gary Magness,69,United States,Denver,"Cable TV, investments",Media & Entertainment,United States,,FALSE,E,M,2/26/1954 0:00,Magness,Gary,,4/4/2023 5:01,Colorado,West,1954,2,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Technology,Mao Lixiang & family,82,China,Ningbo,Cooking appliances,Technology,China,,TRUE,D,M,1/1/1941 0:00,Mao,Lixiang,,4/4/2023 5:01,,,1941,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,David McMurtry,82,United Kingdom,Wotton-under-Edge,Manufacturing,Manufacturing,United Kingdom,,TRUE,D,M,5/3/1940 0:00,McMurtry,David,,4/4/2023 5:01,,,1940,5,3,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2020,1400,Manufacturing,Deepak Mehta,66,India,Vadodara,Chemicals,Manufacturing,India,,FALSE,D,M,12/12/1956 0:00,Mehta,Deepak,,4/4/2023 5:01,,,1956,12,12,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2020,1400,Real Estate,Miao Shouliang,68,China,Shenzhen,Real estate,Real Estate,China,,TRUE,D,M,1/1/1955 0:00,Miao,Shouliang,,4/4/2023 5:01,,,1955,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Healthcare,Miao Yongjun,55,China,Zhengzhou,Clinical diagnostics,Healthcare,China,,TRUE,U,M,12/1/1967 0:00,Miao,Yongjun,,4/4/2023 5:01,,,1967,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Real Estate,Yoshiko Mori,82,Japan,Tokyo,Real estate,Real Estate,Japan,,FALSE,U,F,9/24/1940 0:00,Mori,Yoshiko,,4/4/2023 5:01,,,1940,9,24,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2020,1400,Technology,Marius Nacht,57,Israel,Tel Aviv,Software,Technology,Israel,,TRUE,E,M,1/1/1966 0:00,Nacht,Marius,,4/4/2023 5:01,,,1966,1,1,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +2020,1400,Healthcare,Tadako Nakatani,,Japan,Kobe,Medical diagnostic equipment,Healthcare,Japan,,FALSE,D,F,,Nakatani,Tadako,,4/4/2023 5:01,,,,,,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2020,1400,Metals & Mining,Vadim Novinsky,59,Ukraine,Kiev,Steel,Metals & Mining,Ukraine,,TRUE,U,M,6/3/1963 0:00,Novinsky,Vadim,,4/4/2023 5:01,,,1963,6,3,281.66,7.9,"$153,781,069,118 ",82.7,99,71.6,20.1,45.2,44385155,48.379433,31.16558 +2020,1400,Finance & Investments,Niti Osathanugrah,49,Thailand,Bangkok,"Energy drinks,investments",Finance & Investments,Thailand,,FALSE,D,M,10/18/1973 0:00,Osathanugrah,Niti,,4/4/2023 5:01,,,1973,10,18,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +2020,1400,Finance & Investments,Gretel Packer,57,Australia,Sydney,Investments,Finance & Investments,Australia,,FALSE,D,F,4/1/1966 0:00,Packer,Gretel,,4/4/2023 5:01,,,1966,4,1,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +2020,1400,Manufacturing,Pan Longquan,58,China,Nanjing,Manufacturing,Manufacturing,China,,TRUE,N,M,1/1/1965 0:00,Pan,Longquan,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Real Estate,Pan Shiyi,60,China,Beijing,Real estate,Real Estate,China,,TRUE,Split Family Fortune,M,1/1/1963 0:00,Pan,Shiyi,,4/4/2023 5:01,,,1963,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Healthcare,David Paul,56,United States,Audubon,Medical devices,Healthcare,United States,Globus Medical,TRUE,D,M,12/25/1966 0:00,Paul,David,Founder and Executive Chairman,4/4/2023 5:01,Pennsylvania,Northeast,1966,12,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Fashion & Retail,Tom Persson,38,Sweden,Stockholm,H&M,Fashion & Retail,Sweden,,FALSE,D,M,1/1/1985 0:00,Persson,Tom,,4/4/2023 5:01,,,1985,1,1,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +2020,1400,Automotive,Qian Jinghong,50,China,Wuxi,Electric scooters,Automotive,China,,TRUE,R,F,1/1/1973 0:00,Qian,Jinghong,,4/4/2023 5:01,,,1973,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Qin Long,57,China,Qingdao,Tire,Manufacturing,China,,TRUE,D,M,7/1/1965 0:00,Qin,Long,,4/4/2023 5:01,,,1965,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Healthcare,M.Satyanarayana Reddy,65,India,Hyderabad,Pharmaceuticals,Healthcare,India,,TRUE,D,M,4/18/1957 0:00,Reddy,M.Satyanarayana,,4/4/2023 5:01,,,1957,4,18,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2020,1400,Diversified,Mochtar Riady & family,93,Indonesia,Jakarta,Diversified,Diversified,Indonesia,,TRUE,D,M,5/12/1929 0:00,Riady,Mochtar,,4/4/2023 5:01,,,1929,5,12,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2020,1400,Fashion & Retail,Rihanna,35,United States,Los Angeles,"Music, cosmetics",Fashion & Retail,Barbados,,TRUE,D,F,2/20/1988 0:00,Rihanna,,Musician,4/4/2023 5:01,California,West,1988,2,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Construction & Engineering,Boris Rotenberg,66,Russia,Moscow,"Construction, pipes, chemicals",Construction & Engineering,Russia,,TRUE,U,M,1/3/1957 0:00,Rotenberg,Boris,,4/4/2023 5:01,,,1957,1,3,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2020,1400,Real Estate,Subhash Runwal,79,India,Mumbai,Real estate,Real Estate,India,,TRUE,E,M,5/22/1943 0:00,Runwal,Subhash,,4/4/2023 5:01,,,1943,5,22,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2020,1400,Manufacturing,Igor Rybakov,50,Russia,Moscow,Building materials,Manufacturing,Russia,,TRUE,U,M,5/16/1972 0:00,Rybakov,Igor,,4/4/2023 5:01,,,1972,5,16,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2020,1400,Healthcare,Carlos Sanchez,61,Brazil,Santo Andre,Generic drugs,Healthcare,Brazil,,FALSE,E,M,1/21/1962 0:00,Sanchez,Carlos,,4/4/2023 5:01,,,1962,1,21,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2020,1400,Real Estate,Martin Selig,85,United States,Seattle,Real estate,Real Estate,United States,,TRUE,E,M,12/31/1937 0:00,Selig,Martin,,4/4/2023 5:01,Washington,West,1937,12,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Energy,Airat Shaimiev,61,Russia,Kazan,"Refinery, chemicals",Energy,Russia,,TRUE,U,M,3/7/1962 0:00,Shaimiev,Airat,,4/4/2023 5:01,,,1962,3,7,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2020,1400,Energy,Radik Shaimiev,58,Russia,Kazan,"Refinery, chemicals",Energy,Russia,,TRUE,U,M,11/14/1964 0:00,Shaimiev,Radik,,4/4/2023 5:01,,,1964,11,14,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2020,1400,Fashion & Retail,Nobutoshi Shimamura,97,Japan,Saitama,Retail,Fashion & Retail,Japan,,TRUE,U,M,3/8/1926 0:00,Shimamura,Nobutoshi,,4/4/2023 5:01,,,1926,3,8,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2020,1400,Technology,Jared Smith,48,United States,Provo,Cloud computing,Technology,United States,,TRUE,E,M,10/2/1974 0:00,Smith,Jared,,4/4/2023 5:01,Utah,West,1974,10,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Fashion & Retail,Charlotte Soderstrom,46,Sweden,Stockholm,H&M,Fashion & Retail,Sweden,,FALSE,D,F,1/1/1977 0:00,Soderstrom,Charlotte,,4/4/2023 5:01,,,1977,1,1,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +2020,1400,Healthcare,Anand Surana,52,India,Bangalore,Pharmaceuticals,Healthcare,India,,FALSE,D,M,3/24/1971 0:00,Surana,Anand,,4/4/2023 5:01,,,1971,3,24,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2020,1400,Healthcare,Dilip Surana,57,India,Bangalore,Pharmaceuticals,Healthcare,India,,FALSE,D,M,1/18/1966 0:00,Surana,Dilip,,4/4/2023 5:01,,,1966,1,18,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2020,1400,Finance & Investments,Wilma Tisch,95,United States,New York,Diversified,Finance & Investments,United States,,FALSE,D,F,6/25/1927 0:00,Tisch,Wilma,,4/4/2023 5:01,New York,Northeast,1927,6,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Technology,Jianyi Wang,60,China,Hangzhou,Fiber optic cables,Technology,China,,TRUE,U,M,1/12/1963 0:00,Wang,Jianyi,,4/4/2023 5:01,,,1963,1,12,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Logistics,Wang Jilei,58,China,Shanghai,Logistics,Logistics,China,,TRUE,U,M,1/1/1965 0:00,Wang,Jilei,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Shuifu Wang,68,China,Hangzhou,Manufacturing,Manufacturing,China,,TRUE,D,M,2/10/1955 0:00,Wang,Shuifu,,4/4/2023 5:01,,,1955,2,10,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Wang Yanqing & family,76,China,Weihai,Carbon fiber products,Manufacturing,China,,FALSE,D,F,7/2/1946 0:00,Wang,Yanqing,,4/4/2023 5:01,,,1946,7,2,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Metals & Mining,Wang Zelong,26,China,Jiaozuo,Chemicals,Metals & Mining,China,,FALSE,D,M,7/1/1996 0:00,Wang,Zelong,,4/4/2023 5:01,,,1996,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Werner O. Weber,84,Switzerland,Zurich,Electronic components,Manufacturing,Switzerland,,TRUE,E,M,2/9/1939 0:00,Weber,Werner O.,,4/4/2023 5:01,,,1939,2,9,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +2020,1400,Manufacturing,Anne Werninghaus,37,Brazil,Joinville,Industrial machinery,Manufacturing,Brazil,,FALSE,U,F,1/1/1986 0:00,Werninghaus,Anne,,4/4/2023 5:01,,,1986,1,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2020,1400,Finance & Investments,"Alfred West, Jr.",80,United States,Paoli,Money management,Finance & Investments,United States,,TRUE,U,M,12/7/1942 0:00,West,Alfred,,4/4/2023 5:01,Pennsylvania,Northeast,1942,12,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2020,1400,Manufacturing,Bo Wu,68,China,Nanjing,Machinery,Manufacturing,China,,TRUE,E,M,5/1/1954 0:00,Wu,Bo,,4/4/2023 5:01,,,1954,5,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Wu Chaoqun,53,China,Meishan,Chemicals,Manufacturing,China,,TRUE,U,M,5/18/1969 0:00,Wu,Chaoqun,,4/4/2023 5:01,,,1969,5,18,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Technology,Swift Xie,43,China,Shenzhen,Drones,Technology,China,DJI Technology Co.,TRUE,E,M,1/1/1980 0:00,Xie,Swift,Chief Marketing Officer,4/4/2023 5:01,,,1980,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Xu Guozhong & family,59,China,Changzhou,Motors,Manufacturing,China,,TRUE,D,M,9/1/1963 0:00,Xu,Guozhong,,4/4/2023 5:01,,,1963,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Food & Beverage,Yao Kuizhang,58,China,Hengshui,Beverages,Food & Beverage,China,,TRUE,D,M,1/1/1965 0:00,Yao,Kuizhang,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Real Estate,Yu Peidi,63,China,Shanghai,Real estate,Real Estate,Hong Kong,,TRUE,D,M,1/1/1960 0:00,Yu,Peidi,,4/4/2023 5:01,,,1960,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Healthcare,Yuan Liping,52,China,Shenzhen,Pharmaceuticals,Healthcare,Canada,,FALSE,D,F,1/1/1971 0:00,Yuan,Liping,,4/4/2023 5:01,,,1971,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Zhang Chuanwei & family,60,China,Zhongshan,Machinery,Manufacturing,China,,TRUE,D,M,6/15/1962 0:00,Zhang,Chuanwei,,4/4/2023 5:01,,,1962,6,15,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Real Estate,Zhang Keqiang,62,China,Guangzhou,Real estate,Real Estate,China,,TRUE,D,M,4/29/1960 0:00,Zhang,Keqiang,,4/4/2023 5:01,,,1960,4,29,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Real Estate,Zhang Xin,57,China,Beijing,Real estate,Real Estate,China,SOHO China,TRUE,Split Family Fortune,F,8/24/1965 0:00,Zhang,Xin,"Cofounder, CEO",4/4/2023 5:01,,,1965,8,24,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Xinghai Zhang & family,60,China,Chongqing,Machinery,Manufacturing,China,,TRUE,D,M,1/1/1963 0:00,Zhang,Xinghai,,4/4/2023 5:01,,,1963,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Manufacturing,Zheng Jianjiang & family,62,China,Ningbo,Electrical equipment,Manufacturing,China,,TRUE,D,M,1/1/1961 0:00,Zheng,Jianjiang,,4/4/2023 5:01,,,1961,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Real Estate,Zhong Sheng Jian,65,Singapore,Singapore,Real estate,Real Estate,Singapore,,TRUE,D,M,3/3/1958 0:00,Zhong,Sheng Jian,,4/4/2023 5:01,,,1958,3,3,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2020,1400,Fashion & Retail,Zhou Chengjian,57,China,Shanghai,Fashion retail,Fashion & Retail,China,,TRUE,D,M,4/30/1965 0:00,Zhou,Chengjian,,4/4/2023 5:01,,,1965,4,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2020,1400,Diversified,Boris Zingarevich,63,Russia,Saint Petersburg,"Pulp and paper, diversified",Diversified,Russia,,TRUE,R,M,7/8/1959 0:00,Zingarevich,Boris,,4/4/2023 5:01,,,1959,7,8,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2133,1300,Automotive,A. Jayson Adair,53,United States,Dallas,Damaged cars,Automotive,United States,,TRUE,U,M,10/16/1969 0:00,Adair,A. Jayson,,4/4/2023 5:01,Texas,South,1969,10,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Logistics,Soegiarto Adikoesoemo,85,Indonesia,Surabaya,Chemicals,Logistics,Indonesia,,TRUE,R,M,3/24/1938 0:00,Adikoesoemo,Soegiarto,,4/4/2023 5:01,,,1938,3,24,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2133,1300,Healthcare,Rajendra Agarwal,64,India,Mumbai,Pharmaceuticals,Healthcare,India,,TRUE,D,M,2/25/1959 0:00,Agarwal,Rajendra,,4/4/2023 5:01,,,1959,2,25,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Healthcare,Chirayu Amin,76,India,Baroda,Pharmaceuticals,Healthcare,India,,FALSE,D,M,12/4/1946 0:00,Amin,Chirayu,,4/4/2023 5:01,,,1946,12,4,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Real Estate,Anant Asavabhokhin,72,Thailand,Bangkok,Real estate,Real Estate,Thailand,,TRUE,E,M,8/11/1950 0:00,Asavabhokhin,Anant,,4/4/2023 5:01,,,1950,8,11,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +2133,1300,Finance & Investments,Roman Avdeev,55,Russia,Moscow,"Banking, development",Finance & Investments,Russia,,TRUE,R,M,7/17/1967 0:00,Avdeev,Roman,,4/4/2023 5:01,,,1967,7,17,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2133,1300,Automotive,Ziv Aviram,64,Israel,Mevaseret Zion,Automotive technology,Automotive,Israel,,TRUE,D,M,1/3/1959 0:00,Aviram,Ziv,,4/4/2023 5:01,,,1959,1,3,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +2133,1300,Fashion & Retail,Sachin Bansal,41,India,Bangalore,Flipkart,Fashion & Retail,India,,TRUE,E,M,8/5/1981 0:00,Bansal,Sachin,,4/4/2023 5:01,,,1981,8,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Energy,Kiki Barki,83,Indonesia,Jakarta,Coal,Energy,Indonesia,,TRUE,D,M,11/25/1939 0:00,Barki,Kiki,,4/4/2023 5:01,,,1939,11,25,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2133,1300,Construction & Engineering,Elena Baturina,60,United Kingdom,London,"Investments, real estate",Construction & Engineering,Russia,,TRUE,D,F,3/8/1963 0:00,Baturina,Elena,,4/4/2023 5:01,,,1963,3,8,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2133,1300,Healthcare,Banwari Lal Bawri,70,India,Mumbai,Pharmaceuticals,Healthcare,India,,TRUE,D,M,4/2/1953 0:00,Bawri,Banwari Lal,,4/4/2023 5:01,,,1953,4,2,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Finance & Investments,Othman Benjelloun & family,90,Morocco,Casablanca,"Banking, insurance",Finance & Investments,Morocco,,FALSE,E,M,11/1/1932 0:00,Benjelloun,Othman,,4/4/2023 5:01,,,1932,11,1,111.07,0.2,"$118,725,279,596 ",35.9,113.9,76.5,21.9,45.8,36910560,31.791702,-7.09262 +2133,1300,Diversified,Hari Bhartia,66,India,Delhi,Diversified,Diversified,India,,FALSE,D,M,12/12/1956 0:00,Bhartia,Hari,,4/4/2023 5:01,,,1956,12,12,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Healthcare,Shyam Bhartia,70,India,Delhi,"Pharmaceuticals, food",Healthcare,India,,FALSE,D,M,11/9/1952 0:00,Bhartia,Shyam,,4/4/2023 5:01,,,1952,11,9,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Technology,Stewart Butterfield,50,United States,Aspen,Messaging software,Technology,Canada,Slack,TRUE,D,M,3/21/1973 0:00,Butterfield,Stewart,Cofounder and CEO,4/4/2023 5:01,Colorado,West,1973,3,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Technology,Cai Mingtong,71,China,Quanzhou,Electronic components,Technology,China,,TRUE,D,M,2/15/1952 0:00,Cai,Mingtong,,4/4/2023 5:01,,,1952,2,15,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Technology,Anthony Casalena,40,United States,Monkton,Software,Technology,United States,,TRUE,E,M,4/24/1982 0:00,Casalena,Anthony,,4/4/2023 5:01,Maryland,South,1982,4,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Manufacturing,Chang Jianming & family,58,China,Shanghai,Industrial equipment,Manufacturing,China,,TRUE,N,M,2/11/1965 0:00,Chang,Jianming,,4/4/2023 5:01,,,1965,2,11,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Real Estate,Richard Chang,76,Taiwan,Taipei,"Real estate, electronics",Real Estate,Taiwan,,TRUE,D,M,1/1/1947 0:00,Chang,Richard,,4/4/2023 5:01,,,1947,1,1,,,,,,,,,,, +2133,1300,Metals & Mining,Chen Xuehua,62,China,Tongxiang,Minerals processing,Metals & Mining,China,,TRUE,D,M,1/1/1961 0:00,Chen,Xuehua,,4/4/2023 5:01,,,1961,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Manufacturing,Chen Yin,50,China,Shanghai,Power tools,Manufacturing,China,,TRUE,N,M,1/1/1973 0:00,Chen,Yin,,4/4/2023 5:01,,,1973,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Automotive,Chin Jong Hwa,64,Taiwan,Taoyuan,Auto parts,Automotive,Taiwan,,TRUE,D,M,6/1/1958 0:00,Chin,Jong Hwa,,4/4/2023 5:01,,,1958,6,1,,,,,,,,,,, +2133,1300,Telecom,R. Marcelo Claure,52,United States,Miami Beach,Cell phone distribution,Telecom,United States,,TRUE,N,M,12/9/1970 0:00,Claure,R. Marcelo,,4/4/2023 5:01,Florida,South,1970,12,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Finance & Investments,Alberto Cortina,77,Spain,Madrid,Investments,Finance & Investments,Spain,,TRUE,E,M,1/20/1946 0:00,Cortina,Alberto,,4/4/2023 5:01,,,1946,1,20,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +2133,1300,Real Estate,Eduardo Costantini,76,Argentina,Buenos Aires,Real estate,Real Estate,Argentina,,TRUE,D,M,9/17/1946 0:00,Costantini,Eduardo,,4/4/2023 5:01,,,1946,9,17,232.75,53.5,"$449,663,446,954 ",90,109.7,76.5,10.1,106.3,44938712,-38.416097,-63.616672 +2133,1300,Food & Beverage,Wenjun Dai,54,China,Changsha,Food,Food & Beverage,China,,TRUE,D,M,8/12/1968 0:00,Dai,Wenjun,,4/4/2023 5:01,,,1968,8,12,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Technology,Anand Deshpande,60,India,Pune,Technology,Technology,India,,TRUE,E,M,5/1/1962 0:00,Deshpande,Anand,,4/4/2023 5:01,,,1962,5,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Media & Entertainment,Aydin Dogan,86,Turkey,Istanbul,Media,Media & Entertainment,Turkey,,TRUE,U,M,4/15/1936 0:00,Dogan,Aydin,,4/4/2023 5:01,,,1936,4,15,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +2133,1300,Finance & Investments,Annalisa Doris,52,Italy,Segrate,Financial services,Finance & Investments,Italy,,FALSE,N,F,5/7/1970 0:00,Doris,Annalisa,,4/4/2023 5:01,,,1970,5,7,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2133,1300,Finance & Investments,Massimo Doris,55,Italy,Milan,Financial services,Finance & Investments,Italy,,FALSE,N,M,6/9/1967 0:00,Doris,Massimo,,4/4/2023 5:01,,,1967,6,9,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2133,1300,Healthcare,Weimin Du,59,China,Shenzhen,Vaccines,Healthcare,China,,TRUE,D,M,12/1/1963 0:00,Du,Weimin,,4/4/2023 5:01,,,1963,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Energy,Timothy Dunn & family,67,United States,Midland,Energy,Energy,United States,,TRUE,N,M,12/18/1955 0:00,Dunn,Timothy,,4/4/2023 5:01,Texas,South,1955,12,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Media & Entertainment,Keiko Erikawa,74,Japan,Yokohama City,Video games,Media & Entertainment,Japan,,TRUE,Split Family Fortune,F,1/3/1949 0:00,Erikawa,Keiko,,4/4/2023 5:01,,,1949,1,3,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2133,1300,Media & Entertainment,Yoichi Erikawa,72,Japan,Yokohama City,Video games,Media & Entertainment,Japan,,TRUE,Split Family Fortune,M,10/26/1950 0:00,Erikawa,Yoichi,,4/4/2023 5:01,,,1950,10,26,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2133,1300,Finance & Investments,Philip Fayer,45,Canada,Montreal,Online payments,Finance & Investments,Canada,,TRUE,D,M,1/12/1978 0:00,Fayer,Philip,,4/4/2023 5:01,,,1978,1,12,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +2133,1300,Real Estate,Marvy Finger,87,United States,Houston,Real estate,Real Estate,United States,,TRUE,E,M,12/8/1935 0:00,Finger,Marvy,,4/4/2023 5:01,Texas,,1935,12,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Construction & Engineering,Simona Giorgetta,45,Italy,Milan,Chemical products,Construction & Engineering,Italy,,FALSE,E,F,4/24/1977 0:00,Giorgetta,Simona,,4/4/2023 5:01,,,1977,4,24,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2133,1300,Finance & Investments,Joel Greenberg,65,United States,Gladwyne,"Trading, investments",Finance & Investments,United States,,TRUE,N,M,8/19/1957 0:00,Greenberg,Joel,,4/4/2023 5:01,Pennsylvania,Northeast,1957,8,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Finance & Investments,He Zhiping,59,China,Shenzhen,Investments,Finance & Investments,China,,TRUE,D,M,1/1/1964 0:00,He,Zhiping,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Manufacturing,Heikki Herlin,36,Finland,Helsinki,"Elevators, escalators",Manufacturing,Finland,,FALSE,U,M,1/1/1987 0:00,Herlin,Heikki,,4/4/2023 5:01,,,1987,1,1,112.33,1,"$268,761,201,365 ",88.2,100.2,81.7,20.8,36.6,5520314,61.92411,25.748151 +2133,1300,Real Estate,Hoi Kin Hong,70,China,Shanghai,Real estate,Real Estate,Macau,,TRUE,D,M,9/1/1952 0:00,Hoi,Kin Hong,,4/4/2023 5:01,,,1952,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Finance & Investments,Lillyn Teh Li Hua,,,,Finance,Finance & Investments,Malaysia,,FALSE,N,F,,Hua,Lillyn Teh Li,,4/4/2023 5:01,,,,,,,,,,,,,,,, +2133,1300,Finance & Investments,Gregg Hymowitz,57,United States,New York,Asset management,Finance & Investments,United States,,TRUE,N,M,11/16/1965 0:00,Hymowitz,Gregg,,4/4/2023 5:01,New York,Northeast,1965,11,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Service,Mitchell Jacobson,72,United States,Locust Valley,Industrial equipment,Service,United States,,FALSE,E,M,3/6/1951 0:00,Jacobson,Mitchell,,4/4/2023 5:01,New York,Northeast,1951,3,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Manufacturing,Anurang Jain,61,India,Aurangabad,Auto parts,Manufacturing,India,,TRUE,D,M,3/21/1962 0:00,Jain,Anurang,,4/4/2023 5:01,,,1962,3,21,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Manufacturing,Jiang Guiting & family,64,China,Dezhou,Manufacturing,Manufacturing,China,,TRUE,E,M,7/1/1958 0:00,Jiang,Guiting,,4/4/2023 5:01,,,1958,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Manufacturing,Jin Xin,56,China,Fuxin,Manufacturing,Manufacturing,China,,TRUE,D,M,1/8/1967 0:00,Jin,Xin,,4/4/2023 5:01,,,1967,1,8,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Finance & Investments,Conni Jonsson,62,Sweden,Stockholm,Asset management,Finance & Investments,Sweden,,TRUE,D,M,7/15/1960 0:00,Jonsson,Conni,,4/4/2023 5:01,,,1960,7,15,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +2133,1300,Finance & Investments,George Joseph,101,United States,Los Angeles,Insurance,Finance & Investments,United States,,TRUE,D,M,9/11/1921 0:00,Joseph,George,,4/4/2023 5:01,California,West,1921,9,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Technology,Laurent Junique,57,Singapore,Singapore,Call centers,Technology,France,,TRUE,U,M,12/1/1965 0:00,Junique,Laurent,,4/4/2023 5:01,,,1965,12,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2133,1300,Diversified,Zbigniew Juroszek & family,60,Poland,Cieszyn,"Real estate, gambling",Diversified,Poland,,TRUE,U,M,7/7/1962 0:00,Juroszek,Zbigniew,,4/4/2023 5:01,,,1962,7,7,114.11,2.2,"$592,164,400,688 ",67.8,100,77.6,17.4,40.8,37970874,51.919438,19.145136 +2133,1300,Technology,Alexander Karp,55,United States,Palo Alto,Software firm,Technology,United States,Palantir Technologies,TRUE,U,M,10/1/1967 0:00,Karp,Alexander,Cofounder and CEO,4/4/2023 5:01,California,West,1967,10,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Healthcare,Joe Kiani,58,United States,Irvine,Medical devices,Healthcare,United States,Masimo,TRUE,N,M,9/16/1964 0:00,Kiani,Joe,Chairman and CEO,4/4/2023 5:01,California,West,1964,9,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Finance & Investments,Seth Klarman,65,United States,Chestnut Hill,Investments,Finance & Investments,United States,Baupost Group,TRUE,D,M,5/1/1957 0:00,Klarman,Seth,Investor,4/4/2023 5:01,Massachusetts,Northeast,1957,5,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Technology,Kagemasa Kozuki,82,Japan,Tokyo,Video games,Technology,Japan,,TRUE,D,M,11/12/1940 0:00,Kozuki,Kagemasa,,4/4/2023 5:01,,,1940,11,12,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2133,1300,Technology,Michael Krasny,69,United States,Highland Park,Retail,Technology,United States,Sawdust Investment Management Corp.,TRUE,E,M,8/8/1953 0:00,Krasny,Michael,Investor,4/4/2023 5:01,Illinois,Midwest,1953,8,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Technology,Eduard Kucera,70,Czech Republic,Prague,Software,Technology,Czech Republic,,TRUE,D,M,1/11/1953 0:00,Kucera,Eduard,,4/4/2023 5:01,,,1953,1,11,116.48,2.8,"$246,489,245,495 ",64.1,100.7,79,14.9,46.1,10669709,49.817492,15.472962 +2133,1300,Finance & Investments,Kristo Käärmann,42,United Kingdom,London,"Payments, banking",Finance & Investments,Estonia,Wise,TRUE,U,M,9/1/1980 0:00,Käärmann,Kristo,Cofounder,4/4/2023 5:01,,,1980,9,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2133,1300,Fashion & Retail,Gary Lauder,60,United States,Atherton,Estée Lauder,Fashion & Retail,United States,,FALSE,D,M,5/5/1962 0:00,Lauder,Gary,,4/4/2023 5:01,California,West,1962,5,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Technology,Lee Hae-jin,55,South Korea,Seoul,Internet,Technology,South Korea,NAVER Corp.,TRUE,D,M,6/22/1967 0:00,Lee,Hae-jin,,4/4/2023 5:01,,,1967,6,22,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +2133,1300,Diversified,Art Levinson,73,United States,Hillsborough,"Genentech, Apple",Diversified,United States,,TRUE,D,M,3/31/1950 0:00,Levinson,Art,,4/4/2023 5:01,California,West,1950,3,31,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Food & Beverage,Li Denghai,73,China,Laizhou,Seed production,Food & Beverage,China,,TRUE,D,M,9/1/1949 0:00,Li,Denghai,,4/4/2023 5:01,,,1949,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Diversified,Fengluan Li,61,China,Ruzhou,"Steel, diversified",Diversified,China,,TRUE,E,F,1/1/1962 0:00,Li,Fengluan,,4/4/2023 5:01,,,1962,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Manufacturing,Li Yongqing,58,China,Hangzhou,Petro Firbe,Manufacturing,China,,TRUE,D,M,6/30/1964 0:00,Li,Yongqing,,4/4/2023 5:01,,,1964,6,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Manufacturing,Li Zhigang,46,China,Wuhan,Machinery,Manufacturing,China,,TRUE,D,M,6/1/1976 0:00,Li,Zhigang,,4/4/2023 5:01,,,1976,6,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Healthcare,Liu Gexin & family,71,China,Chengdu,Pharmaceuticals,Healthcare,China,,TRUE,R,M,5/12/1951 0:00,Liu,Gexin,,4/4/2023 5:01,,,1951,5,12,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Food & Beverage,Itamar Locks & family,68,Brazil,Rondonopolis,Agribusiness,Food & Beverage,Brazil,,FALSE,Split Family Fortune,M,1/1/1955 0:00,Locks,Itamar,,4/4/2023 5:01,,,1955,1,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2133,1300,Media & Entertainment,Lu Hongyan,45,China,Xiamen,Online games,Media & Entertainment,China,,TRUE,U,M,5/31/1977 0:00,Lu,Hongyan,,4/4/2023 5:01,,,1977,5,31,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Healthcare,Lv Jianming,58,China,Hangzhou,Medical equipment,Healthcare,Hong Kong,,TRUE,D,M,1/1/1965 0:00,Lv,Jianming,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Food & Beverage,Blairo Maggi,66,Brazil,Cuiaba,Agribusiness,Food & Beverage,Brazil,,FALSE,Split Family Fortune,M,5/29/1956 0:00,Maggi,Blairo,,4/4/2023 5:01,,,1956,5,29,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2133,1300,Diversified,Yasseen Mansour,61,Egypt,Cairo,Diversified,Diversified,Egypt,,TRUE,U,M,8/8/1961 0:00,Mansour,Yasseen,,4/4/2023 5:01,,,1961,8,8,288.57,9.2,"$303,175,127,598 ",35.2,106.3,71.8,12.5,44.4,100388073,26.820553,30.802498 +2133,1300,Fashion & Retail,Charlwin Mao,,China,Shanghai,E-commerce,Fashion & Retail,China,,TRUE,D,M,,Mao,Charlwin,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Real Estate,George Marcus,81,United States,Los Altos Hills,Real estate,Real Estate,United States,,TRUE,D,M,8/15/1941 0:00,Marcus,George,,4/4/2023 5:01,California,West,1941,8,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Healthcare,Yves-Loic Martin,57,France,Nantes,Laboratory services,Healthcare,France,,TRUE,D,M,1/1/1966 0:00,Martin,Yves-Loic,,4/4/2023 5:01,,,1966,1,1,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +2133,1300,Finance & Investments,Carsten Maschmeyer,63,Germany,Munich,Finance services,Finance & Investments,Germany,,TRUE,U,M,5/8/1959 0:00,Maschmeyer,Carsten,,4/4/2023 5:01,,,1959,5,8,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2133,1300,Finance & Investments,Lillian Teh Li Ming,,,,Banking,Finance & Investments,Malaysia,,FALSE,N,F,,Ming,Lillian Teh Li,,4/4/2023 5:01,,,,,,,,,,,,,,,, +2133,1300,Logistics,Martin Moller Nielsen,58,Switzerland,Lugano,Aircraft leasing,Logistics,Denmark,,TRUE,E,M,8/1/1964 0:00,Moller Nielsen,Martin,,4/4/2023 5:01,,,1964,8,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +2133,1300,Finance & Investments,Jahm Najafi,60,United States,Paradise Valley,Investments,Finance & Investments,United States,,TRUE,N,M,3/19/1963 0:00,Najafi,Jahm,,4/4/2023 5:01,Arizona,West,1963,3,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Finance & Investments,Randal Nardone,67,United States,New York,"Investments, energy",Finance & Investments,United States,,TRUE,E,M,6/22/1955 0:00,Nardone,Randal,,4/4/2023 5:01,New York,Northeast,1955,6,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Food & Beverage,Nguyen Dang Quang,59,Vietnam,Ho Chi Minh City,"Consumer products, banking",Food & Beverage,Vietnam,,TRUE,D,M,8/23/1963 0:00,Nguyen,Dang Quang,,4/4/2023 5:01,,,1963,8,23,163.52,2.8,"$261,921,244,843 ",28.5,110.6,75.3,19.1,37.6,96462106,14.058324,108.277199 +2133,1300,Gambling & Casinos,Kazuo Okada,80,Japan,Tokyo,Casinos,Gambling & Casinos,Japan,,TRUE,D,M,10/3/1942 0:00,Okada,Kazuo,,4/4/2023 5:01,,,1942,10,3,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2133,1300,Healthcare,John Oyler,55,United States,,Biotech,Healthcare,United States,,TRUE,U,M,4/3/1968 0:00,Oyler,John,,4/4/2023 5:01,Nevada,West,1968,4,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Finance & Investments,William Teh Lee Pang,,,,Banking,Finance & Investments,Malaysia,,FALSE,N,M,,Pang,William Teh Lee,,4/4/2023 5:01,,,,,,,,,,,,,,,, +2133,1300,Manufacturing,George Pedersen & family,87,United States,McLean,Defense contractor,Manufacturing,United States,,TRUE,U,M,8/18/1935 0:00,Pedersen,George,,4/4/2023 5:01,Virginia,South,1935,8,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Fashion & Retail,Qu Miranda,38,China,Shanghai,E-commerce,Fashion & Retail,China,,TRUE,D,F,1/1/1985 0:00,Qu,Miranda,,4/4/2023 5:01,,,1985,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Real Estate,Jupally Rameshwar Rao,67,India,Hyderabad,Real estate,Real Estate,India,,TRUE,U,M,9/16/1955 0:00,Rameshwar Rao,Jupally,,4/4/2023 5:01,,,1955,9,16,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Logistics,G. M. Rao,72,India,Bangalore,Infrastructure,Logistics,India,,TRUE,D,M,7/1/1950 0:00,Rao,G. M.,,4/4/2023 5:01,,,1950,7,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Healthcare,P.V. Ramprasad Reddy,65,India,Hyderabad,Pharmaceuticals,Healthcare,India,,TRUE,D,M,3/30/1958 0:00,Reddy,P.V. Ramprasad,,4/4/2023 5:01,,,1958,3,30,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Healthcare,Satish Reddy,55,India,Hyderabad,Pharmaceuticals,Healthcare,India,,FALSE,E,M,6/9/1967 0:00,Reddy,Satish,,4/4/2023 5:01,,,1967,6,9,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Fashion & Retail,Fernando Roig,75,Spain,Valencia,Supermarkets,Fashion & Retail,Spain,,FALSE,D,M,6/25/1947 0:00,Roig,Fernando,,4/4/2023 5:01,,,1947,6,25,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +2133,1300,Diversified,Igor Rotenberg,49,Russia,Moscow,"Investments, real estate",Diversified,Russia,,TRUE,R,M,5/9/1973 0:00,Rotenberg,Igor,,4/4/2023 5:01,,,1973,5,9,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2133,1300,Manufacturing,Seifeddin Rustamov,60,United States,,Chemicals,Manufacturing,Russia,,TRUE,N,M,6/17/1962 0:00,Rustamov,Seifeddin,,4/4/2023 5:01,Virginia,South,1962,6,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Diversified,Deniz Sahenk,77,Turkey,Istanbul,Diversified,Diversified,Turkey,,FALSE,E,F,8/6/1945 0:00,Sahenk,Deniz,,4/4/2023 5:01,,,1945,8,6,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +2133,1300,Food & Beverage,Nobutada Saji,77,Japan,Tokyo,Beverages,Food & Beverage,Japan,,FALSE,U,M,11/25/1945 0:00,Saji,Nobutada,,4/4/2023 5:01,,,1945,11,25,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2133,1300,Gambling & Casinos,Hajime Satomi,81,Japan,Tokyo,"Video games, pachinko",Gambling & Casinos,Japan,,TRUE,E,M,1/16/1942 0:00,Satomi,Hajime,,4/4/2023 5:01,,,1942,1,16,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2133,1300,Technology,James Scapa,66,United States,Atherton,Software,Technology,United States,,TRUE,E,M,1/23/1957 0:00,Scapa,James,,4/4/2023 5:01,California,West,1957,1,23,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Manufacturing,Stephan Schnabel,48,,,Chemicals,Manufacturing,Germany,,FALSE,U,M,1/18/1975 0:00,Schnabel,Stephan,,4/4/2023 5:01,,,1975,1,18,,,,,,,,,,, +2133,1300,Healthcare,Devi Shetty,70,India,Bangalore,Healthcare,Healthcare,India,,TRUE,U,M,1/1/1953 0:00,Shetty,Devi,,4/4/2023 5:01,,,1953,1,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2133,1300,Diversified,Albert Shigaboutdinov,70,Russia,Kazan,"Refinery, chemicals",Diversified,Russia,,TRUE,E,M,11/12/1952 0:00,Shigaboutdinov,Albert,,4/4/2023 5:01,,,1952,11,12,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2133,1300,Finance & Investments,Diana Teh Li Shing,,,,Banking,Finance & Investments,Malaysia,,FALSE,N,F,,Shing,Diana Teh Li,,4/4/2023 5:01,,,,,,,,,,,,,,,, +2133,1300,Food & Beverage,Denis Shtengelov,50,Australia,Gold Coast,"Food, retail",Food & Beverage,Russia,,TRUE,N,M,5/14/1972 0:00,Shtengelov,Denis,,4/4/2023 5:01,,,1972,5,14,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +2133,1300,Manufacturing,Fei Song,56,China,Yantai,Machinery,Manufacturing,China,,TRUE,D,M,9/12/1966 0:00,Song,Fei,,4/4/2023 5:01,,,1966,9,12,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Sports,Hal Steinbrenner,54,United States,Tampa,Sports,Sports,United States,,FALSE,N,M,12/3/1968 0:00,Steinbrenner,Hal,,4/4/2023 5:01,Florida,South,1968,12,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Sports,Jessica Steinbrenner,59,United States,Tampa,Sports,Sports,United States,,FALSE,N,F,3/26/1964 0:00,Steinbrenner,Jessica,,4/4/2023 5:01,Florida,South,1964,3,26,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Sports,Jennifer Steinbrenner Swindal,63,United States,Tampa,Sports,Sports,United States,,FALSE,N,F,7/28/1959 0:00,Steinbrenner Swindal,Jennifer,,4/4/2023 5:01,Florida,South,1959,7,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2133,1300,Metals & Mining,Konstantin Strukov & family,64,Russia,Chelyabinsk,"Gold, coal mining",Metals & Mining,Russia,,TRUE,R,M,9/10/1958 0:00,Strukov,Konstantin,,4/4/2023 5:01,,,1958,9,10,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2133,1300,Energy,Rustem Sulteev,69,Russia,Kazan,"Refinery, chemicals",Energy,Russia,,TRUE,E,M,1/4/1954 0:00,Sulteev,Rustem,,4/4/2023 5:01,,,1954,1,4,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2133,1300,Food & Beverage,Clemens Toennies,66,Germany,Rheda-Wiedenbrück,Meat processing,Food & Beverage,Germany,,TRUE,D,M,5/27/1956 0:00,Toennies,Clemens,,4/4/2023 5:01,,,1956,5,27,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2133,1300,Food & Beverage,Robert Toennies,44,Germany,Rheda-Wiedenbrück,Meat processing,Food & Beverage,Germany,,FALSE,D,M,5/29/1978 0:00,Toennies,Robert,,4/4/2023 5:01,,,1978,5,29,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2133,1300,Real Estate,John Van Lieshout,77,Australia,Brisbane,Real estate,Real Estate,Australia,,TRUE,D,M,1/12/1946 0:00,Van Lieshout,John,,4/4/2023 5:01,,,1946,1,12,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +2133,1300,Healthcare,Pongsak Viddayakorn,89,Thailand,Bangkok,Hospitals,Healthcare,Thailand,,TRUE,U,M,3/23/1934 0:00,Viddayakorn,Pongsak,,4/4/2023 5:01,,,1934,3,23,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +2133,1300,Fashion & Retail,Wang Jianguo,63,China,Nanjing,Retail,Fashion & Retail,China,,TRUE,D,M,1/1/1960 0:00,Wang,Jianguo,,4/4/2023 5:01,,,1960,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Service,Junjin Wang,54,China,Shanghai,Airline,Service,China,,TRUE,D,M,12/1/1968 0:00,Wang,Junjin,,4/4/2023 5:01,,,1968,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Manufacturing,Wang Mingwang,55,China,Shenzhen,Electronics components,Manufacturing,China,,TRUE,D,M,5/2/1967 0:00,Wang,Mingwang,,4/4/2023 5:01,,,1967,5,2,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Technology,Wei Lidong & family,47,China,Shanghai,Software,Technology,China,,TRUE,D,M,1/1/1976 0:00,Wei,Lidong,,4/4/2023 5:01,,,1976,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Fashion & Retail,Myron Wentz,83,Cayman Islands,Grand Cayman,Health products,Fashion & Retail,St. Kitts and Nevis,,TRUE,D,M,1/1/1940 0:00,Wentz,Myron,,4/4/2023 5:01,,,1940,1,1,,,,,,,,,,, +2133,1300,Manufacturing,Wu Xiaoge,50,China,Chengdu,Battery components,Manufacturing,China,,TRUE,Split Family Fortune,F,11/1/1972 0:00,Wu,Xiaoge,,4/4/2023 5:01,,,1972,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Diversified,Wu Xushun & family,74,China,Wuhu,Internet,Diversified,China,,TRUE,D,M,4/28/1948 0:00,Wu,Xushun,,4/4/2023 5:01,,,1948,4,28,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Healthcare,Xiong Xiaochuan,57,China,Shenzhen,Medical devices,Healthcare,China,,TRUE,N,M,1/1/1966 0:00,Xiong,Xiaochuan,,4/4/2023 5:01,,,1966,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Technology,Xu Shaochun,60,China,Shenzhen,Software,Technology,China,,TRUE,D,M,1/1/1963 0:00,Xu,Shaochun,,4/4/2023 5:01,,,1963,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Technology,Yan Jane & family,53,China,Beijing,Software,Technology,China,,TRUE,U,F,7/19/1969 0:00,Yan,Jane,,4/4/2023 5:01,,,1969,7,19,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Manufacturing,Zeng Chaoyi,54,China,Changsha,Aluminum products,Manufacturing,China,,TRUE,E,M,4/1/1969 0:00,Zeng,Chaoyi,,4/4/2023 5:01,,,1969,4,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Service,Peng Zhao,52,China,Beijing,Online recruitment,Service,China,,TRUE,E,M,1/1/1971 0:00,Zhao,Peng,,4/4/2023 5:01,,,1971,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2133,1300,Service,Zhao Tongtong,56,Hong Kong,Hong Kong,Hotels,Service,Canada,,TRUE,R,F,1/1/1967 0:00,Zhao,Tongtong,,4/4/2023 5:01,,,1967,1,1,,,,,,,,,,, +2133,1300,Metals & Mining,Kostyantin Zhevago,49,Ukraine,Kiev,Mining,Metals & Mining,Ukraine,,TRUE,E,M,1/7/1974 0:00,Zhevago,Kostyantin,,4/4/2023 5:01,,,1974,1,7,281.66,7.9,"$153,781,069,118 ",82.7,99,71.6,20.1,45.2,44385155,48.379433,31.16558 +2133,1300,Manufacturing,Zong Yanmin,,China,Jinan,Semiconductor materials,Manufacturing,China,,TRUE,E,M,,Zong,Yanmin,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Finance & Investments,Sanjay Agarwal,52,India,Jaipur,Banking,Finance & Investments,India,,TRUE,E,M,9/8/1970 0:00,Agarwal,Sanjay,,4/4/2023 5:01,,,1970,9,8,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2259,1200,Finance & Investments,Hamad bin Jassim bin Jaber Al Thani,63,Qatar,Doha,Investments,Finance & Investments,Qatar,,FALSE,E,M,10/1/1959 0:00,Al Thani,Hamad bin Jassim bin Jaber,,4/4/2023 5:01,,,1959,10,1,115.38,-0.7,"$183,466,208,791 ",17.9,103.8,80.1,14.7,11.3,2832067,25.354826,51.183884 +2259,1200,Diversified,Joao Alves de Queiroz Filho,70,Brazil,São Paulo,Pharmaceuticals,Diversified,Brazil,,TRUE,U,M,1/1/1953 0:00,Alves de Queiroz Filho,Joao,,4/4/2023 5:01,,,1953,1,1,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2259,1200,Metals & Mining,Jose Maria Aristrain,60,Switzerland,Gstaad,Steel,Metals & Mining,Spain,,FALSE,E,M,11/2/1962 0:00,Aristrain,Jose Maria,,4/4/2023 5:01,,,1962,11,2,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +2259,1200,Finance & Investments,Michael Arougheti,50,United States,Nyack,Finance,Finance & Investments,United States,,TRUE,N,M,10/10/1972 0:00,Arougheti,Michael,,4/4/2023 5:01,New York,Northeast,1972,10,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Technology,Tope Awotona,41,United States,Atlanta,Software,Technology,United States,Calendly,TRUE,D,M,4/22/1981 0:00,Awotona,Tope,,4/4/2023 5:01,Georgia,South,1981,4,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Healthcare,Mehmet Aydinlar,66,Turkey,Istanbul,Hospitals,Healthcare,Turkey,,TRUE,D,M,7/27/1956 0:00,Aydinlar,Mehmet,,4/4/2023 5:01,,,1956,7,27,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +2259,1200,Real Estate,Danna Azrieli,55,Israel,Herzliya,Real estate,Real Estate,Israel,,FALSE,D,F,6/3/1967 0:00,Azrieli,Danna,,4/4/2023 5:01,,,1967,6,3,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +2259,1200,Real Estate,Naomi Azrieli,57,Canada,Toronto,Real estate,Real Estate,Canada,,FALSE,D,F,9/26/1965 0:00,Azrieli,Naomi,,4/4/2023 5:01,,,1965,9,26,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +2259,1200,Real Estate,Sharon Azrieli,62,Canada,Montreal,Real estate,Real Estate,Canada,,FALSE,D,F,8/4/1960 0:00,Azrieli,Sharon,,4/4/2023 5:01,,,1960,8,4,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +2259,1200,Energy,Bai Houshan,59,China,Ningbo,Lithium battery,Energy,China,,TRUE,D,M,1/1/1964 0:00,Bai,Houshan,,4/4/2023 5:01,,,1964,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Finance & Investments,Thomas Bailey,86,United States,Aspen,Money management,Finance & Investments,United States,,TRUE,E,M,1/1/1937 0:00,Bailey,Thomas,,4/4/2023 5:01,Colorado,West,1937,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Healthcare,Bernhard Braun-Luedicke,46,Germany,Melsungen,Medical technology,Healthcare,Germany,,FALSE,D,M,1/1/1977 0:00,Braun-Luedicke,Bernhard,,4/4/2023 5:01,,,1977,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2259,1200,Healthcare,Eva Maria Braun-Luedicke,36,Germany,Melsungen,Medical technology,Healthcare,Germany,,FALSE,D,F,1/1/1987 0:00,Braun-Luedicke,Eva Maria,,4/4/2023 5:01,,,1987,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2259,1200,Healthcare,Friederike Braun-Luedicke,39,Germany,Melsungen,Medical technology,Healthcare,Germany,,FALSE,E,F,1/1/1984 0:00,Braun-Luedicke,Friederike,,4/4/2023 5:01,,,1984,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2259,1200,Real Estate,Jeffrey Cheah,78,Malaysia,Kuala Lumpur,"Property, healthcare",Real Estate,Malaysia,,TRUE,D,M,3/30/1945 0:00,Cheah,Jeffrey,,4/4/2023 5:01,,,1945,3,30,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +2259,1200,Food & Beverage,Chen Xianbao & family,63,China,Hefei,Food,Food & Beverage,China,,TRUE,D,M,5/19/1959 0:00,Chen,Xianbao,,4/4/2023 5:01,,,1959,5,19,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Healthcare,Cheng Xianfeng,54,China,Hefei,Pharmaceuticals,Healthcare,China,,TRUE,D,M,12/1/1968 0:00,Cheng,Xianfeng,,4/4/2023 5:01,,,1968,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Fashion & Retail,Chung Yong-jin,54,South Korea,Seoul,Retail,Fashion & Retail,South Korea,Shinsegae,FALSE,D,M,9/19/1968 0:00,Chung,Yong-jin,,4/4/2023 5:01,,,1968,9,19,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +2259,1200,Service,Darwin Deason,82,United States,Dallas,Software,Service,United States,,TRUE,D,M,5/14/1940 0:00,Deason,Darwin,,4/4/2023 5:01,Texas,South,1940,5,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Fashion & Retail,Diego Della Valle,69,Italy,Sant'' Elpidio A Mare,Shoes,Fashion & Retail,Italy,,FALSE,D,M,12/30/1953 0:00,Della Valle,Diego,,4/4/2023 5:01,,,1953,12,30,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2259,1200,Manufacturing,Ashwin Desai,71,India,Surat,Specialty chemicals,Manufacturing,India,,TRUE,N,M,9/18/1951 0:00,Desai,Ashwin,,4/4/2023 5:01,,,1951,9,18,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2259,1200,Media & Entertainment,Richard Desmond,71,United Kingdom,London,Publishing,Media & Entertainment,United Kingdom,,TRUE,D,M,12/8/1951 0:00,Desmond,Richard,,4/4/2023 5:01,,,1951,12,8,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2259,1200,Fashion & Retail,Ding Shui Po,52,China,Quanzhou,"Sneakers, sportswear",Fashion & Retail,China,,FALSE,D,M,11/1/1970 0:00,Ding,Shui Po,,4/4/2023 5:01,,,1970,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Fashion & Retail,Sefik Yilmaz Dizdar,85,Turkey,Istanbul,Fashion retail,Fashion & Retail,Turkey,,TRUE,U,M,3/16/1938 0:00,Dizdar,Sefik Yilmaz,,4/4/2023 5:01,,,1938,3,16,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +2259,1200,Media & Entertainment,Mathias Doepfner,60,Germany,Potsdam,Media,Media & Entertainment,Germany,,FALSE,D,M,1/15/1963 0:00,Doepfner,Mathias,,4/4/2023 5:01,,,1963,1,15,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2259,1200,Manufacturing,Farhad Ebrahimi,84,United States,Denver,Solar panels,Manufacturing,United States,,TRUE,N,M,1/1/1939 0:00,Ebrahimi,Farhad,,4/4/2023 5:01,Colorado,West,1939,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Diversified,Jose Roberto Ermirio de Moraes,65,Brazil,Sao Paulo,Diversified,Diversified,Brazil,,FALSE,D,M,11/30/1957 0:00,Ermirio de Moraes,Jose Roberto,,4/4/2023 5:01,,,1957,11,30,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2259,1200,Diversified,Jose Ermirio de Moraes Neto,70,Brazil,Sao Paulo,Diversified,Diversified,Brazil,,FALSE,D,M,6/17/1952 0:00,Ermirio de Moraes Neto,Jose,,4/4/2023 5:01,,,1952,6,17,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2259,1200,Manufacturing,Fang Hongbo,56,China,Shunde,Home appliances,Manufacturing,China,,TRUE,D,M,1/1/1967 0:00,Fang,Hongbo,,4/4/2023 5:01,,,1967,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,David Feffer,66,Brazil,São Paulo,Pulp and paper,Manufacturing,Brazil,,FALSE,D,M,11/13/1956 0:00,Feffer,David,,4/4/2023 5:01,,,1956,11,13,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2259,1200,Manufacturing,Zsolt Felcsuti,51,Hungary,,Manufacturing,Manufacturing,Hungary,,TRUE,N,M,5/26/1971 0:00,Felcsuti,Zsolt,,4/4/2023 5:01,,,1971,5,26,121.64,3.3,"$160,967,157,504 ",48.5,100.8,75.8,23,37.9,9769949,47.162494,19.503304 +2259,1200,Fashion & Retail,Ben Francis,30,United Kingdom,Birmingham,Fitness clothing,Fashion & Retail,United Kingdom,,TRUE,N,M,6/4/1992 0:00,Francis,Ben,,4/4/2023 5:01,,,1992,6,4,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2259,1200,Fashion & Retail,Gary Friedman,65,United States,Belvedere,Furniture retail,Fashion & Retail,United States,,TRUE,D,M,8/6/1957 0:00,Friedman,Gary,,4/4/2023 5:01,California,West,1957,8,6,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Metals & Mining,Dan Gertler,49,Israel,Bnei Brak,Mining,Metals & Mining,Israel,,FALSE,E,M,12/23/1973 0:00,Gertler,Dan,,4/4/2023 5:01,,,1973,12,23,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +2259,1200,Manufacturing,Balkrishan Goenka,56,India,Mumbai,Textiles,Manufacturing,India,,TRUE,D,M,8/15/1966 0:00,Goenka,Balkrishan,,4/4/2023 5:01,,,1966,8,15,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2259,1200,Finance & Investments,Lawrence Golub,63,United States,New York,Private equity,Finance & Investments,United States,,TRUE,E,M,10/3/1959 0:00,Golub,Lawrence,Investor,4/4/2023 5:01,New York,Northeast,1959,10,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Manufacturing,Saroj Rani Gupta,72,India,Delhi,Steel tubes,Manufacturing,India,,TRUE,N,F,7/5/1950 0:00,Gupta,Saroj Rani,,4/4/2023 5:01,,,1950,7,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2259,1200,Technology,Anthony Hall,67,Australia,Melbourne,Technology,Technology,Australia,,TRUE,N,M,6/27/1955 0:00,Hall,Anthony,,4/4/2023 5:01,,,1955,6,27,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +2259,1200,Construction & Engineering,Fahed Hariri,42,United Kingdom,London,"Construction, investments",Construction & Engineering,Lebanon,,FALSE,E,M,12/29/1980 0:00,Hariri,Fahed,,4/4/2023 5:01,,,1980,12,29,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2259,1200,Fashion & Retail,Richard Hayne,75,United States,Philadelphia,Urban Outfitters,Fashion & Retail,United States,Urban Outfitters Inc.,TRUE,E,M,9/1/1947 0:00,Hayne,Richard,"Chairman, President & Chief Executive Officer",4/4/2023 5:01,Pennsylvania,Northeast,1947,9,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Finance & Investments,Michael Heine,73,Australia,Melbourne,Financial services,Finance & Investments,Australia,,TRUE,E,M,11/1/1949 0:00,Heine,Michael,,4/4/2023 5:01,,,1949,11,1,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +2259,1200,Technology,Orion Hindawi,43,United States,Seattle,Software,Technology,United States,Tanium,TRUE,D,M,1/10/1980 0:00,Hindawi,Orion,CEO,4/4/2023 5:01,Washington,West,1980,1,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Gambling & Casinos,Lawrence Ho,46,Hong Kong,Hong Kong,Casinos,Gambling & Casinos,Hong Kong,,FALSE,R,M,1/16/1977 0:00,Ho,Lawrence,,4/4/2023 5:01,,,1977,1,16,,,,,,,,,,, +2259,1200,Fashion & Retail,Huang Guanlin,58,China,Ningbo,"Textiles, apparel",Fashion & Retail,China,,TRUE,D,M,1/1/1965 0:00,Huang,Guanlin,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Technology,Sam Hupert,68,Australia,Melbourne,Technology,Technology,Australia,,TRUE,N,M,12/25/1954 0:00,Hupert,Sam,,4/4/2023 5:01,,,1954,12,25,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +2259,1200,Telecom,Mohammed Ibrahim,76,United Kingdom,London,Communications,Telecom,United Kingdom,Mo Ibrahim Foundation,TRUE,E,M,5/3/1946 0:00,Ibrahim,Mohammed,Founder,4/4/2023 5:01,,,1946,5,3,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2259,1200,Food & Beverage,Shirley Kao,66,Taiwan,Tainan,Food & beverage retailing,Food & Beverage,Taiwan,,FALSE,E,F,9/2/1956 0:00,Kao,Shirley,,4/4/2023 5:01,,,1956,9,2,,,,,,,,,,, +2259,1200,Finance & Investments,David Kaplan,55,United States,Los Angeles,Finance,Finance & Investments,United States,,TRUE,N,M,8/29/1967 0:00,Kaplan,David,,4/4/2023 5:01,California,West,1967,8,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Fashion & Retail,Kim Kardashian,42,United States,Hidden Hills,"Shapewear, cosmetics, reality TV",Fashion & Retail,United States,,TRUE,D,F,10/21/1980 0:00,Kardashian,Kim,Personality,4/4/2023 5:01,California,West,1980,10,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Manufacturing,Ke Guihua,57,China,Shanghai,Auto parts,Manufacturing,China,,TRUE,U,M,10/13/1965 0:00,Ke,Guihua,,4/4/2023 5:01,,,1965,10,13,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Healthcare,Ke Yunfeng & family,56,China,Guangzhou,Retailing,Healthcare,China,,TRUE,U,M,1/1/1967 0:00,Ke,Yunfeng,,4/4/2023 5:01,,,1967,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Real Estate,Alexander Klyachin,55,Russia,Moscow,Real estate,Real Estate,Russia,,TRUE,R,M,5/18/1967 0:00,Klyachin,Alexander,,4/4/2023 5:01,,,1967,5,18,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2259,1200,Manufacturing,Christine Knauf,,Germany,Berlin,Building materials,Manufacturing,Germany,,FALSE,D,F,,Knauf,Christine,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2259,1200,Manufacturing,Karl Knauf,,Germany,Iphofen,Building materials,Manufacturing,Germany,,FALSE,D,M,,Knauf,Karl,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2259,1200,Automotive,Suresh Krishna,86,India,Chennai,Auto parts,Automotive,India,,FALSE,U,M,12/24/1936 0:00,Krishna,Suresh,,4/4/2023 5:01,,,1936,12,24,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2259,1200,Media & Entertainment,Guy Laliberté,63,Canada,Montreal,Cirque du Soleil,Media & Entertainment,Canada,Cirque du Soleil,TRUE,E,M,1/1/1960 0:00,Laliberté,Guy,Cofounder and CEO,4/4/2023 5:01,,,1960,1,1,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +2259,1200,Technology,Lee Su-jin,45,South Korea,,Hospitality,Technology,South Korea,,TRUE,N,M,2/1/1978 0:00,Lee,Su-jin,,4/4/2023 5:01,,,1978,2,1,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +2259,1200,Manufacturing,Li Guoqing,53,China,Hangzhou,Petro Fibre,Manufacturing,China,,TRUE,D,M,2/22/1970 0:00,Li,Guoqing,,4/4/2023 5:01,,,1970,2,22,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Healthcare,Li Li,59,China,Shenzhen,Pharmaceuticals,Healthcare,China,,TRUE,D,M,2/9/1964 0:00,Li,Li,,4/4/2023 5:01,,,1964,2,9,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Healthcare,Li Ruiqiang,43,China,Beijing,Medical services,Healthcare,China,,TRUE,D,M,11/1/1979 0:00,Li,Ruiqiang,,4/4/2023 5:01,,,1979,11,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,Zhen Li & family,59,China,Hefei,Lithium batteries,Manufacturing,China,,TRUE,D,M,1/23/1964 0:00,Li,Zhen,,4/4/2023 5:01,,,1964,1,23,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,Guangwei Liang,59,China,Shenzhen,Conglomerate,Manufacturing,China,,TRUE,D,M,9/1/1963 0:00,Liang,Guangwei,,4/4/2023 5:01,,,1963,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Energy,Liu Ming Hui,60,Hong Kong,Hong Kong,Natural gas distribution,Energy,China,,TRUE,D,M,1/1/1963 0:00,Liu,Ming Hui,,4/4/2023 5:01,,,1963,1,1,,,,,,,,,,, +2259,1200,Technology,Frederic Luddy,68,United States,San Diego,Software,Technology,United States,ServiceNow,TRUE,D,M,11/24/1954 0:00,Luddy,Frederic,Founder and Chief Product Officer,4/4/2023 5:01,California,West,1954,11,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Food & Beverage,"Cargill MacMillan, III.",63,United States,Boulder,Cargill,Food & Beverage,United States,,FALSE,D,M,12/21/1959 0:00,MacMillan,Cargill,,4/4/2023 5:01,Colorado,West,1959,12,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Food & Beverage,John MacMillan,73,United States,Plymouth,Cargill,Food & Beverage,United States,,FALSE,D,M,9/20/1949 0:00,MacMillan,John,,4/4/2023 5:01,Minnesota,Midwest,1949,9,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Food & Beverage,Martha MacMillan,71,United States,Orono,Cargill,Food & Beverage,United States,,FALSE,D,F,10/1/1951 0:00,MacMillan,Martha,,4/4/2023 5:01,Minnesota,Midwest,1951,10,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Food & Beverage,William MacMillan,68,United States,Englewood,Cargill,Food & Beverage,United States,,FALSE,D,M,5/25/1954 0:00,MacMillan,William,,4/4/2023 5:01,Colorado,West,1954,5,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Diversified,Keshub Mahindra,99,India,Mumbai,Diversified,Diversified,India,,FALSE,R,M,10/9/1923 0:00,Mahindra,Keshub,,4/4/2023 5:01,,,1923,10,9,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2259,1200,Manufacturing,Mao Zhongwu,60,China,Changsha,Manufacturing,Manufacturing,China,,TRUE,D,M,8/13/1962 0:00,Mao,Zhongwu,,4/4/2023 5:01,,,1962,8,13,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Construction & Engineering,Jorge Mas,60,United States,Miami,Construction,Construction & Engineering,United States,,FALSE,U,M,2/28/1963 0:00,Mas,Jorge,,4/4/2023 5:01,Florida,South,1963,2,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Diversified,Lorinc Meszaros,57,Hungary,Felcsút,Diversified,Diversified,Hungary,,TRUE,E,M,2/25/1966 0:00,Meszaros,Lorinc,,4/4/2023 5:01,,,1966,2,25,121.64,3.3,"$160,967,157,504 ",48.5,100.8,75.8,23,37.9,9769949,47.162494,19.503304 +2259,1200,Technology,Jeffrey Michael & family,66,United States,Minnetonka,Data management,Technology,United States,,TRUE,U,M,7/18/1956 0:00,Michael,Jeffrey,,4/4/2023 5:01,Minnesota,Midwest,1956,7,18,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Healthcare,Alan Miller & family,85,United States,Lower Merion,Healthcare services,Healthcare,United States,,TRUE,D,M,8/17/1937 0:00,Miller,Alan,,4/4/2023 5:01,Pennsylvania,Northeast,1937,8,17,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Automotive,Ulrich Mommert & family,82,,,Lighting,Automotive,Austria,,TRUE,E,M,1/11/1941 0:00,Mommert,Ulrich,,4/4/2023 5:01,,,1941,1,11,,,,,,,,,,, +2259,1200,Diversified,Neide Helena de Moraes,68,Brazil,Sao Paulo,Diversified,Diversified,Brazil,,FALSE,D,F,2/15/1955 0:00,Moraes,Neide Helena de,,4/4/2023 5:01,,,1955,2,15,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2259,1200,Finance & Investments,Scott Nuttall,50,United States,New York,Private equity,Finance & Investments,United States,,TRUE,U,M,11/25/1972 0:00,Nuttall,Scott,,4/4/2023 5:01,New York,Northeast,1972,11,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Manufacturing,Kailashchandra Nuwal,65,,,Industrial explosives,Manufacturing,India,,FALSE,N,M,7/6/1957 0:00,Nuwal,Kailashchandra,,4/4/2023 5:01,,,1957,7,6,,,,,,,,,,, +2259,1200,Food & Beverage,Axel Oberwelland & family,56,Germany,Berlin,Candy,Food & Beverage,Germany,,FALSE,Split Family Fortune,M,1/1/1967 0:00,Oberwelland,Axel,,4/4/2023 5:01,,,1967,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2259,1200,Technology,Jonathan Oringer,48,United States,Miami Beach,Stock photos,Technology,United States,,TRUE,D,M,5/2/1974 0:00,Oringer,Jonathan,,4/4/2023 5:01,Florida,South,1974,5,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Food & Beverage,Vitaly Orlov,58,Russia,Murmansk,Fisheries,Food & Beverage,Russia,,TRUE,R,M,1/1/1965 0:00,Orlov,Vitaly,,4/4/2023 5:01,,,1965,1,1,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2259,1200,Real Estate,Jose Isaac Peres & family,82,Brazil,Rio de Janeiro,Shopping malls,Real Estate,Brazil,,TRUE,U,M,7/18/1940 0:00,Peres,Jose Isaac,,4/4/2023 5:01,,,1940,7,18,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2259,1200,Media & Entertainment,Markus Persson,43,Sweden,Stockholm,Computer games,Media & Entertainment,Sweden,,TRUE,D,M,6/1/1979 0:00,Persson,Markus,,4/4/2023 5:01,,,1979,6,1,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +2259,1200,Technology,Mark Pincus,57,United States,San Francisco,Online games,Technology,United States,Zynga Inc,TRUE,D,M,2/13/1966 0:00,Pincus,Mark,Chairman,4/4/2023 5:01,California,West,1966,2,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Diversified,Murdaya Poo,82,Indonesia,Jakarta,Diversified,Diversified,Indonesia,,FALSE,E,M,1/12/1941 0:00,Poo,Murdaya,,4/4/2023 5:01,,,1941,1,12,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2259,1200,Healthcare,Forrest Preston,90,United States,Cleveland,Health care,Healthcare,United States,,TRUE,D,M,3/22/1933 0:00,Preston,Forrest,,4/4/2023 5:01,Tennessee,South,1933,3,22,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Food & Beverage,Qian Ying,57,China,Nanyang,Pig breeding,Food & Beverage,China,,TRUE,D,F,1/1/1966 0:00,Qian,Ying,,4/4/2023 5:01,,,1966,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,Jimmy Rane,76,United States,Abbeville,Lumber,Manufacturing,United States,,TRUE,N,M,9/15/1946 0:00,Rane,Jimmy,,4/4/2023 5:01,Alabama,South,1946,9,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Finance & Investments,Andrei Rappoport,59,Switzerland,Lugano,Investments,Finance & Investments,Russia,,TRUE,E,M,6/22/1963 0:00,Rappoport,Andrei,,4/4/2023 5:01,,,1963,6,22,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +2259,1200,Food & Beverage,Hugo Ribeiro & family,,Brazil,Rondonopolis,Agribusiness,Food & Beverage,Brazil,,FALSE,Split Family Fortune,M,,Ribeiro,Hugo,Entrepreneur,4/4/2023 5:01,,,,,,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2259,1200,Finance & Investments,Bennett Rosenthal,59,United States,Los Angeles,Finance,Finance & Investments,United States,,TRUE,N,M,9/24/1963 0:00,Rosenthal,Bennett,,4/4/2023 5:01,California,West,1963,9,24,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Real Estate,Atul Ruia,52,India,Mumbai,Real estate,Real Estate,India,,FALSE,N,M,2/26/1971 0:00,Ruia,Atul,,4/4/2023 5:01,,,1971,2,26,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2259,1200,Finance & Investments,Thomas Sandell,62,United Kingdom,London,Hedge funds,Finance & Investments,Sweden,Sandell Asset Management,TRUE,D,M,2/1/1961 0:00,Sandell,Thomas,Founder,4/4/2023 5:01,,,1961,2,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2259,1200,Food & Beverage,Francesco Saputo,,Canada,Montreal,Cheese,Food & Beverage,Canada,,FALSE,N,M,,Saputo,Francesco,,4/4/2023 5:01,,,,,,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +2259,1200,Construction & Engineering,Dhruv Sawhney,78,United Arab Emirates,Dubai,"Engineering, sugar",Construction & Engineering,India,,FALSE,U,M,6/26/1944 0:00,Sawhney,Dhruv,,4/4/2023 5:01,,,1944,6,26,114.52,-1.9,"$421,142,267,938 ",36.8,108.4,77.8,0.1,15.9,9770529,23.424076,53.847818 +2259,1200,Finance & Investments,Gerald Schwartz,81,Canada,Toronto,Finance,Finance & Investments,Canada,,TRUE,D,M,11/24/1941 0:00,Schwartz,Gerald,,4/4/2023 5:01,,,1941,11,24,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +2259,1200,Fashion & Retail,Antonio Luiz Seabra,80,United Kingdom,London,Cosmetics,Fashion & Retail,Brazil,,TRUE,D,M,1/1/1943 0:00,Seabra,Antonio Luiz,,4/4/2023 5:01,,,1943,1,1,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2259,1200,Technology,Eric Ya Shen,52,China,Guangzhou,Online apparel retail,Technology,China,,TRUE,R,M,1/1/1971 0:00,Shen,Eric Ya,,4/4/2023 5:01,,,1971,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Technology,Sytse 'Sid' Sijbrandij,43,United States,San Francisco,Software,Technology,Netherlands,,TRUE,N,M,8/1/1979 0:00,Sijbrandij,Sytse 'Sid',,4/4/2023 5:01,California,West,1979,8,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Automotive,Alexander Sixt,43,Germany,Munich,Car rentals,Automotive,Germany,,FALSE,D,M,10/24/1979 0:00,Sixt,Alexander,,4/4/2023 5:01,,,1979,10,24,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2259,1200,Automotive,Konstantin Sixt,40,Germany,Munich,Car rentals,Automotive,Germany,,FALSE,D,M,12/2/1982 0:00,Sixt,Konstantin,,4/4/2023 5:01,,,1982,12,2,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2259,1200,Energy,Edwin Soeryadjaya,73,Indonesia,Jakarta,"Coal, investments",Energy,Indonesia,,FALSE,D,M,7/17/1949 0:00,Soeryadjaya,Edwin,,4/4/2023 5:01,,,1949,7,17,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2259,1200,Healthcare,Abhay Soi,49,India,Mumbai,Healthcare,Healthcare,India,,TRUE,N,M,8/19/1973 0:00,Soi,Abhay,,4/4/2023 5:01,,,1973,8,19,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2259,1200,Technology,Mike Speiser,52,United Kingdom,London,Software,Technology,United States,Sutter Hill Ventures,TRUE,U,M,1/25/1971 0:00,Speiser,Mike,Managing Director,4/4/2023 5:01,,,1971,1,25,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2259,1200,Construction & Engineering,Marco Squinzi,51,Italy,Milan,Chemical products,Construction & Engineering,Italy,,FALSE,D,M,9/23/1971 0:00,Squinzi,Marco,,4/4/2023 5:01,,,1971,9,23,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2259,1200,Construction & Engineering,Veronica Squinzi,51,Italy,Milan,Chemical products,Construction & Engineering,Italy,,FALSE,D,F,1/1/1972 0:00,Squinzi,Veronica,,4/4/2023 5:01,,,1972,1,1,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2259,1200,Finance & Investments,Michael Steinhardt,82,United States,Mount Kisco,Hedge funds,Finance & Investments,United States,,TRUE,E,M,12/7/1940 0:00,Steinhardt,Michael,,4/4/2023 5:01,New York,Northeast,1940,12,7,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Technology,Ion Stoica,58,United States,Berkeley,Data analytics,Technology,Romania,,TRUE,D,M,2/12/1965 0:00,Stoica,Ion,,4/4/2023 5:01,California,West,1965,2,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Metals & Mining,Eddy Sugianto,77,Indonesia,Jakarta,Coal,Metals & Mining,Indonesia,,TRUE,N,M,2/11/1946 0:00,Sugianto,Eddy,,4/4/2023 5:01,,,1946,2,11,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2259,1200,Manufacturing,Luc Tack,61,Belgium,Deinze,"Textile, chemicals",Manufacturing,Belgium,,TRUE,E,M,9/1/1961 0:00,Tack,Luc,,4/4/2023 5:01,,,1961,9,1,117.11,1.4,"$529,606,710,418 ",79.7,103.9,81.6,24,55.4,11484055,50.503887,4.469936 +2259,1200,Food & Beverage,Tony Tan Caktiong,70,Philippines,Manila,Food,Food & Beverage,Philippines,,TRUE,D,M,1/5/1953 0:00,Tan Caktiong,Tony,,4/4/2023 5:01,,,1953,1,5,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 +2259,1200,Manufacturing,Xiuguo Tang,59,China,Changsha,Manufacturing,Manufacturing,China,,TRUE,U,M,8/25/1963 0:00,Tang,Xiuguo,,4/4/2023 5:01,,,1963,8,25,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Real Estate,Sam Tarascio,78,Australia,Melbourne,Real estate,Real Estate,Australia,,TRUE,E,M,7/22/1944 0:00,Tarascio,Sam,,4/4/2023 5:01,,,1944,7,22,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +2259,1200,Finance & Investments,Lina Tombolato,75,Italy,Tombolo,Financial services,Finance & Investments,Italy,,FALSE,D,F,7/28/1947 0:00,Tombolato,Lina,,4/4/2023 5:01,,,1947,7,28,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2259,1200,Manufacturing,Ching Bor Tung,60,China,Dongguan,Manufacturing,Manufacturing,China,,TRUE,D,M,1/1/1963 0:00,Tung,Ching Bor,,4/4/2023 5:01,,,1963,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Media & Entertainment,Joop van den Ende,81,Netherlands,Baarn,TV shows,Media & Entertainment,Netherlands,,TRUE,D,M,2/23/1942 0:00,van den Ende,Joop,,4/4/2023 5:01,,,1942,2,23,115.91,2.6,"$909,070,395,161 ",85,104.2,81.8,23,41.2,17332850,52.132633,5.291266 +2259,1200,Finance & Investments,Ruben Vardanyan & family,54,Armenia,Erevan,Investment banking,Finance & Investments,Armenia,,TRUE,R,M,5/25/1968 0:00,Vardanyan,Ruben,,4/4/2023 5:01,,,1968,5,25,129.18,1.4,"$13,672,802,158 ",54.6,92.7,74.9,20.9,22.6,2957731,40.069099,45.038189 +2259,1200,Fashion & Retail,Sandro Veronesi & family,63,Italy,Milan,Fashion,Fashion & Retail,Italy,,TRUE,D,M,10/18/1959 0:00,Veronesi,Sandro,,4/4/2023 5:01,,,1959,10,18,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2259,1200,Real Estate,Thongma Vijitpongpun,65,Thailand,Bangkok,Real estate,Real Estate,Thailand,,TRUE,E,M,7/8/1957 0:00,Vijitpongpun,Thongma,,4/4/2023 5:01,,,1957,7,8,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +2259,1200,Finance & Investments,Thomas von Koch,57,Hong Kong,Hong Kong,Asset management,Finance & Investments,Sweden,,TRUE,D,M,3/24/1966 0:00,von Koch,Thomas,,4/4/2023 5:01,,,1966,3,24,,,,,,,,,,, +2259,1200,Healthcare,Wang Fuji,,China,Zhangzhou,Pharmaceuticals,Healthcare,China,,TRUE,D,M,,Wang,Fuji,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,Wang Shih-Chung,61,Taiwan,Taipei,Pneumatic equipments,Manufacturing,Taiwan,,TRUE,N,M,1/1/1962 0:00,Wang,Shih-Chung,,4/4/2023 5:01,,,1962,1,1,,,,,,,,,,, +2259,1200,Manufacturing,Wang Xiaoshen,54,China,Urumchi,Lithium,Manufacturing,China,,TRUE,D,M,10/1/1968 0:00,Wang,Xiaoshen,,4/4/2023 5:01,,,1968,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Diversified,J. Wayne Weaver,87,United States,Jacksonville,Shoes,Diversified,United States,,TRUE,E,M,9/1/1935 0:00,Weaver,J. Wayne,,4/4/2023 5:01,Florida,South,1935,9,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Food & Beverage,Drorit Wertheim,67,Israel,Bnei Atarot,Coca Cola Israel,Food & Beverage,Israel,,FALSE,D,F,1/1/1956 0:00,Wertheim,Drorit,,4/4/2023 5:01,,,1956,1,1,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +2259,1200,Finance & Investments,Cameron Winklevoss,41,United States,New York,Cryptocurrency,Finance & Investments,United States,,TRUE,D,M,8/21/1981 0:00,Winklevoss,Cameron,,4/4/2023 5:01,New York,Northeast,1981,8,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Finance & Investments,Tyler Winklevoss,41,United States,New York,Cryptocurrency,Finance & Investments,United States,,TRUE,D,M,8/21/1981 0:00,Winklevoss,Tyler,,4/4/2023 5:01,New York,Northeast,1981,8,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Manufacturing,Wu Chung-yi,67,Taiwan,Chang Hwa County,Manufacturing,Manufacturing,Taiwan,,FALSE,E,M,7/1/1955 0:00,Wu,Chung-yi,,4/4/2023 5:01,,,1955,7,1,,,,,,,,,,, +2259,1200,Finance & Investments,Eugene Wu,77,Taiwan,Taipei,Finance,Finance & Investments,Taiwan,,FALSE,D,M,5/3/1945 0:00,Wu,Eugene,,4/4/2023 5:01,,,1945,5,3,,,,,,,,,,, +2259,1200,Fashion & Retail,Wu Yonghua,52,China,Xiamen,Apparel,Fashion & Retail,China,,TRUE,U,M,1/1/1971 0:00,Wu,Yonghua,,4/4/2023 5:01,,,1971,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,Xia Xinde,58,China,Guangzhou,Batteries,Manufacturing,China,,TRUE,U,M,10/15/1964 0:00,Xia,Xinde,,4/4/2023 5:01,,,1964,10,15,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,Wenbo Xiang,60,China,Changsha,Manufacturing,Manufacturing,China,,TRUE,D,M,6/21/1962 0:00,Xiang,Wenbo,,4/4/2023 5:01,,,1962,6,21,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Food & Beverage,Xu Jin,58,China,Huaibei city,Wine,Food & Beverage,China,,TRUE,D,M,1/24/1965 0:00,Xu,Jin,,4/4/2023 5:01,,,1965,1,24,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,Xu Shijun & family,60,China,Nantong,Manufacturing,Manufacturing,China,,TRUE,D,M,3/1/1963 0:00,Xu,Shijun,,4/4/2023 5:01,,,1963,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Service,Wanmao Xu,78,China,Ningbo,Education,Service,China,,TRUE,D,M,1/1/1945 0:00,Xu,Wanmao,,4/4/2023 5:01,,,1945,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,Xu Yuejuan,61,China,Hangzhou,Petro Fibre,Manufacturing,China,,TRUE,D,F,1/24/1962 0:00,Xu,Yuejuan,,4/4/2023 5:01,,,1962,1,24,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Healthcare,Vadim Yakunin,60,Russia,Moscow,Pharmacy,Healthcare,Russia,,TRUE,R,M,1/5/1963 0:00,Yakunin,Vadim,,4/4/2023 5:01,,,1963,1,5,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2259,1200,Fashion & Retail,Yang Yunyun,46,China,Guangzhou,Retail,Fashion & Retail,China,,TRUE,R,F,1/1/1977 0:00,Yang,Yunyun,,4/4/2023 5:01,,,1977,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Technology,Matei Zaharia,37,United States,Berkeley,Data analytics,Technology,Romania,,TRUE,D,M,4/21/1985 0:00,Zaharia,Matei,,4/4/2023 5:01,California,West,1985,4,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2259,1200,Diversified,Zan Shengda,60,China,Nantong,Diversified,Diversified,China,,TRUE,D,M,4/2/1963 0:00,Zan,Shengda,,4/4/2023 5:01,,,1963,4,2,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Technology,Zhang Xuezheng,47,China,Jiaxing,Telecom,Technology,China,,TRUE,D,M,6/1/1975 0:00,Zhang,Xuezheng,,4/4/2023 5:01,,,1975,6,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,Zhang Yin,66,China,Dongguan,Paper manufacturing,Manufacturing,China,,TRUE,D,F,2/1/1957 0:00,Zhang,Yin,,4/4/2023 5:01,,,1957,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Healthcare,Ning Zhao,56,China,Shanghai,Pharmaceuticals,Healthcare,United States,,TRUE,Split Family Fortune,F,1/1/1967 0:00,Zhao,Ning,,4/4/2023 5:01,,,1967,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Manufacturing,Zhou Wen & family,58,China,Shanghai,Chemicals,Manufacturing,China,,TRUE,U,M,3/6/1965 0:00,Zhou,Wen,,4/4/2023 5:01,,,1965,3,6,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2259,1200,Construction & Engineering,Zhu Xingliang,63,China,Suzhou,Construction,Construction & Engineering,China,,TRUE,D,M,5/1/1959 0:00,Zhu,Xingliang,,4/4/2023 5:01,,,1959,5,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Fashion & Retail,Hari Krishan Agarwal,66,India,Delhi,Sports shoes,Fashion & Retail,India,,TRUE,N,M,4/5/1956 0:00,Agarwal,Hari Krishan,,4/4/2023 5:01,,,1956,4,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Energy,Farkhad Akhmedov,67,Russia,Moscow,Investments,Energy,Russia,,TRUE,D,M,9/15/1955 0:00,Akhmedov,Farkhad,,4/4/2023 5:01,,,1955,9,15,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2405,1100,Healthcare,Prem Kumar Arora,84,,,Pharmaceuticals,Healthcare,India,,FALSE,N,M,9/11/1938 0:00,Arora,Prem Kumar,,4/4/2023 5:01,,,1938,9,11,,,,,,,,,,, +2405,1100,Finance & Investments,Joseph Bae,51,United States,New York,Private equity,Finance & Investments,United States,,TRUE,N,M,1/12/1972 0:00,Bae,Joseph,,4/4/2023 5:01,New York,Northeast,1972,1,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Food & Beverage,Abigail Bennett,42,United States,Rochester,Liquor,Food & Beverage,United States,,FALSE,Split Family Fortune,F,12/27/1980 0:00,Bennett,Abigail,,4/4/2023 5:01,New York,Northeast,1980,12,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Fashion & Retail,Sara Blakely,52,United States,Atlanta,Spanx,Fashion & Retail,United States,Spanx,TRUE,E,F,2/27/1971 0:00,Blakely,Sara,Founder,4/4/2023 5:01,Georgia,South,1971,2,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Finance & Investments,Lloyd Blankfein,68,United States,New York,Banking,Finance & Investments,United States,Goldman Sachs Group,TRUE,E,M,9/20/1954 0:00,Blankfein,Lloyd,CEO,4/4/2023 5:01,New York,Northeast,1954,9,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Diversified,Henadiy Boholyubov,61,Ukraine,Dnipro,"Banking, investments",Diversified,Ukraine,,TRUE,E,M,1/1/1962 0:00,Boholyubov,Henadiy,,4/4/2023 5:01,,,1962,1,1,281.66,7.9,"$153,781,069,118 ",82.7,99,71.6,20.1,45.2,44385155,48.379433,31.16558 +2405,1100,Real Estate,Stephane Bonvin,56,Switzerland,Lens,Real estate,Real Estate,Switzerland,,TRUE,D,M,1/1/1967 0:00,Bonvin,Stephane,,4/4/2023 5:01,,,1967,1,1,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +2405,1100,Diversified,Oleg Boyko,58,Switzerland,Lipperswil,Diversified,Diversified,Russia,,TRUE,D,M,9/28/1964 0:00,Boyko,Oleg,,4/4/2023 5:01,,,1964,9,28,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +2405,1100,Technology,Ryan Breslow,28,United States,Miami,E-commerce software,Technology,United States,Bolt,TRUE,D,M,5/20/1994 0:00,Breslow,Ryan,Cofounder,4/4/2023 5:01,Florida,South,1994,5,20,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Fashion & Retail,Thomas Bruch,72,Germany,St. Wendel,Retail,Fashion & Retail,Germany,,FALSE,D,M,4/25/1950 0:00,Bruch,Thomas,,4/4/2023 5:01,,,1950,4,25,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2405,1100,Technology,Marina Budiman,61,Indonesia,Jakarta,Data centers,Technology,Indonesia,,TRUE,D,F,9/5/1961 0:00,Budiman,Marina,,4/4/2023 5:01,,,1961,9,5,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2405,1100,Food & Beverage,Pradip Burman,80,India,Delhi,Consumer goods,Food & Beverage,India,,FALSE,D,M,11/2/1942 0:00,Burman,Pradip,,4/4/2023 5:01,,,1942,11,2,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Healthcare,Cai Hongbin,,China,Lianyungang,Pharmaceuticals,Healthcare,China,,TRUE,D,M,,Cai,Hongbin,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Manufacturing,Cao Kejian,60,China,Quzhou,Air compressors,Manufacturing,China,,TRUE,E,M,4/10/1962 0:00,Cao,Kejian,,4/4/2023 5:01,,,1962,4,10,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Food & Beverage,Giuliana Caprotti,82,Italy,Milan,Supermarkets,Food & Beverage,Italy,,FALSE,D,F,11/21/1940 0:00,Caprotti,Giuliana,,4/4/2023 5:01,,,1940,11,21,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2405,1100,Food & Beverage,Marina Caprotti,45,Italy,Milan,Supermarkets,Food & Beverage,Italy,,FALSE,D,F,1/17/1978 0:00,Caprotti,Marina,,4/4/2023 5:01,,,1978,1,17,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2405,1100,Technology,Chang Jing,40,China,Beijing,Technology,Technology,China,,TRUE,D,M,8/1/1982 0:00,Chang,Jing,,4/4/2023 5:01,,,1982,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Healthcare,Chen Baohua,61,China,Linhai,Pharmaceutical,Healthcare,China,,TRUE,D,M,1/1/1962 0:00,Chen,Baohua,,4/4/2023 5:01,,,1962,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Energy,Gang Chen,55,China,Guangzhou,Solar energy,Energy,China,,TRUE,D,M,1/1/1968 0:00,Chen,Gang,,4/4/2023 5:01,,,1968,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Logistics,Liying Chen,47,China,Shanghai,Package delivery,Logistics,China,,TRUE,D,F,10/30/1975 0:00,Chen,Liying,,4/4/2023 5:01,,,1975,10,30,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Technology,Tony Chen,73,Taiwan,Taichung,Electronics,Technology,Taiwan,,TRUE,U,M,7/1/1949 0:00,Chen,Tony,,4/4/2023 5:01,,,1949,7,1,,,,,,,,,,, +2405,1100,Manufacturing,Chen Xueling,55,China,Shantou,Stationery,Manufacturing,China,,TRUE,D,F,10/16/1967 0:00,Chen,Xueling,,4/4/2023 5:01,,,1967,10,16,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Food & Beverage,Cheng Lili,58,China,Changzhou,Poultry breeding,Food & Beverage,China,,TRUE,D,M,1/1/1965 0:00,Cheng,Lili,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Technology,Cho Jyh-jer,,,,Semiconductors,Technology,Taiwan,,TRUE,D,M,,Cho,Jyh-jer,,4/4/2023 5:01,,,,,,,,,,,,,,,, +2405,1100,Technology,Weili Dai,61,United States,Las Vegas,Semiconductors,Technology,United States,Marvell Technology Group Ltd.,TRUE,D,F,9/14/1961 0:00,Dai,Weili,Cofounder-President,4/4/2023 5:01,Nevada,West,1961,9,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Food & Beverage,Carmen Daurella Aguilera,,Spain,Barcelona,Coca-Cola bottler,Food & Beverage,Spain,,FALSE,R,F,,Daurella Aguilera,Carmen,,4/4/2023 5:01,,,,,,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +2405,1100,Manufacturing,Deng Yingzhong,72,China,Zhongshan,Paper,Manufacturing,China,,TRUE,D,M,1/1/1951 0:00,Deng,Yingzhong,,4/4/2023 5:01,,,1951,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Finance & Investments,Shlomo Eliahu,87,Israel,Tel Aviv,Insurance,Finance & Investments,Israel,,TRUE,D,M,1/18/1936 0:00,Eliahu,Shlomo,,4/4/2023 5:01,,,1936,1,18,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +2405,1100,Finance & Investments,Henry Engelhardt,65,United Kingdom,Cardiff,Insurance,Finance & Investments,United States,Admiral Group ,TRUE,D,M,1/17/1958 0:00,Engelhardt,Henry,Chief Executive Officer,4/4/2023 5:01,,,1958,1,17,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2405,1100,Service,Gabriel Escarrer,88,Spain,Palma de Majorca,Hotels,Service,Spain,,TRUE,E,M,3/2/1935 0:00,Escarrer,Gabriel,,4/4/2023 5:01,,,1935,3,2,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +2405,1100,Manufacturing,Daniel Feffer,63,Brazil,São Paulo,Pulp and paper,Manufacturing,Brazil,,FALSE,D,M,10/28/1959 0:00,Feffer,Daniel,,4/4/2023 5:01,,,1959,10,28,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2405,1100,Manufacturing,Ruben Feffer,53,Brazil,São Paulo,Pulp and paper,Manufacturing,Brazil,,FALSE,D,M,,Feffer,Ruben,,4/4/2023 5:01,,,,,,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2405,1100,Telecom,Gleb Fetisov,56,Cyprus,Limassol,Investments,Telecom,Russia,,TRUE,D,M,6/5/1966 0:00,Fetisov,Gleb,,4/4/2023 5:01,,,1966,6,5,102.51,0.3,"$24,564,647,935 ",75.9,99.3,80.8,24.5,22.4,1198575,35.126413,33.429859 +2405,1100,Fashion & Retail,Paul Fireman,79,United States,Brookline,Reebok,Fashion & Retail,United States,,TRUE,E,M,2/14/1944 0:00,Fireman,Paul,,4/4/2023 5:01,Massachusetts,Northeast,1944,2,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Fashion & Retail,Robert Fisher,69,United States,San Francisco,Gap,Fashion & Retail,United States,Gap Inc.,FALSE,D,M,8/1/1953 0:00,Fisher,Robert,Chairman of the Board,4/4/2023 5:01,California,West,1953,8,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Fashion & Retail,Bernd Freier,66,Germany,Rottendorf,Fashion retail,Fashion & Retail,Germany,,TRUE,D,M,1/1/1957 0:00,Freier,Bernd,,4/4/2023 5:01,,,1957,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2405,1100,Manufacturing,Donald Friese,82,United States,Los Angeles,Manufacturing,Manufacturing,United States,,TRUE,E,M,10/3/1940 0:00,Friese,Donald,,4/4/2023 5:01,California,West,1940,10,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Healthcare,Gan Zhongru,74,China,Beijing,Pharmaceuticals,Healthcare,China,,TRUE,D,M,7/1/1948 0:00,Gan,Zhongru,,4/4/2023 5:01,,,1948,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Fashion & Retail,Rahul Gautam,70,India,Delhi,Mattresses,Fashion & Retail,India,,FALSE,D,M,11/18/1952 0:00,Gautam,Rahul,,4/4/2023 5:01,,,1952,11,18,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Finance & Investments,David Golub,60,United States,New York,Private equity,Finance & Investments,United States,,TRUE,E,M,4/16/1962 0:00,Golub,David,Investor,4/4/2023 5:01,New York,Northeast,1962,4,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Real Estate,Pavel Golubkov,47,Russia,Moscow,"Building, development",Real Estate,Russia,,TRUE,N,M,3/13/1976 0:00,Golubkov,Pavel,,4/4/2023 5:01,,,1976,3,13,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2405,1100,Fashion & Retail,Cristina Green,,United Kingdom,London,Fashion retail,Fashion & Retail,United Kingdom,,TRUE,Split Family Fortune,F,,Green,Cristina,,4/4/2023 5:01,,,,,,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2405,1100,Fashion & Retail,Philip Green,,United Kingdom,London,Fashion retail,Fashion & Retail,United Kingdom,,TRUE,Split Family Fortune,M,,Green,Philip,,4/4/2023 5:01,,,,,,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2405,1100,Energy,Said Gutseriev,34,United Kingdom,London,"Retail, investments",Energy,Russia,,FALSE,R,M,4/18/1988 0:00,Gutseriev,Said,,4/4/2023 5:01,,,1988,4,18,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2405,1100,Service,Polys Haji-Ioannou,63,Monaco,Monaco,EasyJet,Service,Cyprus,,FALSE,U,M,1/11/1960 0:00,Haji-Ioannou,Polys,,4/4/2023 5:01,,,1960,1,11,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +2405,1100,Food & Beverage,He Zuxun,57,China,Kunming,Pig breeding,Food & Beverage,China,,TRUE,D,M,10/28/1965 0:00,He,Zuxun,,4/4/2023 5:01,,,1965,10,28,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Finance & Investments,Christian Herz,,Germany,Hamburg,Coffee,Finance & Investments,Germany,,FALSE,E,M,,Herz,Christian,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2405,1100,Finance & Investments,Michaela Herz,,Germany,Hamburg,Coffee,Finance & Investments,Germany,,FALSE,E,F,,Herz,Michaela,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2405,1100,Technology,David Hindawi,78,United States,Seattle,Software,Technology,United States,Tanium,TRUE,D,M,12/8/1944 0:00,Hindawi,David,Executive Chairman,4/4/2023 5:01,Washington,West,1944,12,8,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Technology,Huang Shan,52,China,Shenzhen,Software,Technology,China,,TRUE,R,M,8/9/1970 0:00,Huang,Shan,,4/4/2023 5:01,,,1970,8,9,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Technology,Huang Xiaofen & family,61,China,Shenzhen,Printed circuit boards,Technology,China,,TRUE,D,F,1/1/1962 0:00,Huang,Xiaofen,,4/4/2023 5:01,,,1962,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Automotive,Hiroshi Ishibashi,76,Japan,Tokyo,Tires,Automotive,Japan,,FALSE,U,M,8/1/1946 0:00,Ishibashi,Hiroshi,,4/4/2023 5:01,,,1946,8,1,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2405,1100,Gambling & Casinos,Masayuki Ishihara,74,Japan,Tokyo,Pachinko machines,Gambling & Casinos,Japan,,FALSE,R,M,12/15/1948 0:00,Ishihara,Masayuki,,4/4/2023 5:01,,,1948,12,15,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2405,1100,Finance & Investments,Chatchai Kaewbootta,71,Thailand,Bangkok,Auto loans,Finance & Investments,Thailand,,TRUE,D,M,7/5/1951 0:00,Kaewbootta,Chatchai,,4/4/2023 5:01,,,1951,7,5,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +2405,1100,Finance & Investments,Nikhil Kamath,36,India,Bangalore,Financial services,Finance & Investments,India,,TRUE,N,M,9/5/1986 0:00,Kamath,Nikhil,,4/4/2023 5:01,,,1986,9,5,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Finance & Investments,Jonas Kamprad,57,United Kingdom,London,IKEA,Finance & Investments,Sweden,,FALSE,E,M,3/4/1966 0:00,Kamprad,Jonas,,4/4/2023 5:01,,,1966,3,4,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2405,1100,Finance & Investments,Mathias Kamprad,53,United Kingdom,London,IKEA,Finance & Investments,Sweden,,FALSE,E,M,6/27/1969 0:00,Kamprad,Mathias,,4/4/2023 5:01,,,1969,6,27,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2405,1100,Finance & Investments,Peter Kamprad,59,Belgium,Tervuren,IKEA,Finance & Investments,Sweden,,FALSE,E,M,3/29/1964 0:00,Kamprad,Peter,,4/4/2023 5:01,,,1964,3,29,117.11,1.4,"$529,606,710,418 ",79.7,103.9,81.6,24,55.4,11484055,50.503887,4.469936 +2405,1100,Service,Fumio Kaneko,66,Japan,Kobe,Waste management,Service,Japan,,TRUE,N,M,10/17/1956 0:00,Kaneko,Fumio,,4/4/2023 5:01,,,1956,10,17,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2405,1100,Automotive,Sunjay Kapur,51,India,Delhi,Auto parts,Automotive,United States,,FALSE,D,M,10/15/1971 0:00,Kapur,Sunjay,,4/4/2023 5:01,,,1971,10,15,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Energy,Ali Metin Kazanci,88,Turkey,Istanbul,Energy,Energy,Turkey,,TRUE,R,M,8/30/1934 0:00,Kazanci,Ali Metin,,4/4/2023 5:01,,,1934,8,30,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +2405,1100,Healthcare,Kangbao Ke & family,60,China,Guangzhou,Retailing,Healthcare,China,,TRUE,U,M,1/1/1963 0:00,Ke,Kangbao,,4/4/2023 5:01,,,1963,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Sports,Carsten Koerl,58,Switzerland,Zurich,Sports data,Sports,Germany,,TRUE,D,M,11/27/1964 0:00,Koerl,Carsten,"Entrepreneur, Investor",4/4/2023 5:01,,,1964,11,27,99.55,0.4,"$703,082,435,360 ",59.6,105.2,83.6,10.1,28.8,8574832,46.818188,8.227512 +2405,1100,Technology,Koo Bon-sik,64,South Korea,Seoul,LG,Technology,South Korea,Heesung,FALSE,E,M,6/28/1958 0:00,Koo,Bon-sik,,4/4/2023 5:01,,,1958,6,28,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +2405,1100,Energy,Andrei Kosogov,62,Russia,Moscow,Banking,Energy,Russia,,TRUE,D,M,3/15/1961 0:00,Kosogov,Andrei,,4/4/2023 5:01,,,1961,3,15,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2405,1100,Manufacturing,Yogesh Kothari,74,India,Mumbai,Specialty chemicals,Manufacturing,India,,TRUE,D,M,1/1/1949 0:00,Kothari,Yogesh,,4/4/2023 5:01,,,1949,1,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Healthcare,Arvind Lal,73,India,Delhi,Medical diagnostics,Healthcare,India,,FALSE,D,M,8/22/1949 0:00,Lal,Arvind,,4/4/2023 5:01,,,1949,8,22,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Gambling & Casinos,Manuel Lao Hernández,78,Spain,Matadepera,Casinos,Gambling & Casinos,Spain,,TRUE,D,M,6/10/1944 0:00,Lao Hernández,Manuel,,4/4/2023 5:01,,,1944,6,10,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +2405,1100,Construction & Engineering,Lee Joong-keun,82,South Korea,Seoul,"Construction, real estate",Construction & Engineering,South Korea,Booyoung Group,TRUE,D,M,1/11/1941 0:00,Lee,Joong-keun,,4/4/2023 5:01,,,1941,1,11,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +2405,1100,Finance & Investments,Nancy Lerner,62,United States,Cleveland,"Banking, credit cards",Finance & Investments,United States,,FALSE,E,F,5/11/1960 0:00,Lerner,Nancy,,4/4/2023 5:01,Ohio,Midwest,1960,5,11,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Finance & Investments,Norma Lerner,87,United States,Cleveland,Banking,Finance & Investments,United States,,FALSE,E,F,3/28/1936 0:00,Lerner,Norma,,4/4/2023 5:01,Ohio,Midwest,1936,3,28,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Finance & Investments,Randolph Lerner,61,United States,Cleveland,"Banking, credit cards",Finance & Investments,United States,,FALSE,E,M,2/21/1962 0:00,Lerner,Randolph,,4/4/2023 5:01,Ohio,Midwest,1962,2,21,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Healthcare,Lin Zhijun,47,China,Xiamen,Medical devices,Healthcare,China,,TRUE,D,M,9/1/1975 0:00,Lin,Zhijun,,4/4/2023 5:01,,,1975,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Healthcare,Lin Zhixiong & family,49,China,Xiamen,Medical devices,Healthcare,China,,TRUE,D,M,7/1/1973 0:00,Lin,Zhixiong,,4/4/2023 5:01,,,1973,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Manufacturing,Jeffrey Lorberbaum,68,United States,Chattanooga,Flooring,Manufacturing,United States,,FALSE,D,M,10/25/1954 0:00,Lorberbaum,Jeffrey,,4/4/2023 5:01,Tennessee,South,1954,10,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Telecom,Lu Rongfu,52,China,Xiamen,Telecommunication,Telecom,China,,TRUE,D,M,1/1/1971 0:00,Lu,Rongfu,,4/4/2023 5:01,,,1971,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Fashion & Retail,Lyu Yixiong,60,China,Shanghai,Cosmetics,Fashion & Retail,China,,TRUE,N,M,1/1/1963 0:00,Lyu,Yixiong,,4/4/2023 5:01,,,1963,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Technology,Soichiro Minami,46,Japan,Tokyo,Internet and software,Technology,Japan,,TRUE,E,M,6/15/1976 0:00,Minami,Soichiro,,4/4/2023 5:01,,,1976,6,15,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2405,1100,Automotive,Pawan Munjal,68,India,Delhi,Two wheelers,Automotive,India,,FALSE,Split Family Fortune,M,10/28/1954 0:00,Munjal,Pawan,,4/4/2023 5:01,,,1954,10,28,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Automotive,Renu Munjal,68,India,Delhi,Two wheelers,Automotive,India,,FALSE,Split Family Fortune,F,3/6/1955 0:00,Munjal,Renu,,4/4/2023 5:01,,,1955,3,6,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Automotive,Suman Munjal,70,India,Delhi,Motorcycles,Automotive,India,,FALSE,Split Family Fortune,M,2/26/1953 0:00,Munjal,Suman,,4/4/2023 5:01,,,1953,2,26,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Energy,Dmitry Nikolaev,56,Russia,Kemerovo,Coal,Energy,Russia,,TRUE,N,M,8/17/1966 0:00,Nikolaev,Dmitry ,,4/4/2023 5:01,,,1966,8,17,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2405,1100,Automotive,Sjamsul Nursalim,81,Singapore,Singapore,"Tires, retail",Automotive,Indonesia,,FALSE,R,M,1/19/1942 0:00,Nursalim,Sjamsul,,4/4/2023 5:01,,,1942,1,19,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2405,1100,Fashion & Retail,Adrian Paval,54,Romania,Bacau,Retail,Fashion & Retail,Romania,,TRUE,U,M,9/23/1968 0:00,Paval,Adrian,,4/4/2023 5:01,,,1968,9,23,123.78,3.8,"$250,077,444,017 ",49.4,85.2,75.4,14.6,20,19356544,45.943161,24.96676 +2405,1100,Diversified,Antonio Percassi,69,Italy,Bergamo,"Real estate, diversified",Diversified,Italy,,TRUE,D,M,6/9/1953 0:00,Percassi,Antonio,,4/4/2023 5:01,,,1953,6,9,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2405,1100,Fashion & Retail,Kevin Plank,50,United States,Lutherville-Timonium,Under Armour,Fashion & Retail,United States,Under Armour,TRUE,D,M,8/13/1972 0:00,Plank,Kevin,Chairman and CEO,4/4/2023 5:01,Maryland,South,1972,8,13,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Healthcare,G.V. Prasad,62,India,Hyderabad,Pharmaceuticals,Healthcare,India,,FALSE,U,M,11/22/1960 0:00,Prasad,G.V.,,4/4/2023 5:01,,,1960,11,22,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Healthcare,Pu Zhongjie & family,60,China,Beijing,Medical equipment,Healthcare,China,,TRUE,E,M,1/1/1963 0:00,Pu,Zhongjie,,4/4/2023 5:01,,,1963,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Healthcare,Rao Wei & family,58,China,Shenzhen,Pharmaceuticals,Healthcare,China,,TRUE,R,M,11/12/1964 0:00,Rao,Wei,,4/4/2023 5:01,,,1964,11,12,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Service,Helena Revoredo,76,Spain,Madrid,Security services,Service,Spain,,FALSE,D,F,2/10/1947 0:00,Revoredo,Helena,,4/4/2023 5:01,,,1947,2,10,110.96,0.7,"$1,394,116,310,769 ",88.9,102.7,83.3,14.2,47,47076781,40.463667,-3.74922 +2405,1100,Finance & Investments,Matthew Roszak,50,United States,Chicago,Cryptocurrency,Finance & Investments,United States,,TRUE,D,M,12/9/1972 0:00,Roszak,Matthew,,4/4/2023 5:01,Illinois,Midwest,1972,12,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Technology,Paul Sciarra,42,United States,San Francisco,Pinterest,Technology,United States,,TRUE,D,M,2/15/1981 0:00,Sciarra,Paul,,4/4/2023 5:01,California,West,1981,2,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Finance & Investments,Rajesh Sharma,53,India,Mumbai,Finance,Finance & Investments,India,,FALSE,N,M,2/25/1970 0:00,Sharma,Rajesh,,4/4/2023 5:01,,,1970,2,25,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2405,1100,Energy,Dean Solon,58,United States,Gallatin,Solar systems,Energy,United States,,TRUE,U,M,1/1/1965 0:00,Solon,Dean,,4/4/2023 5:01,Tennessee,South,1965,1,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Finance & Investments,Michael Spencer,67,United Kingdom,"London, Suffolk",Stock exchange,Finance & Investments,United Kingdom,,TRUE,E,M,5/30/1955 0:00,Spencer,Michael,,4/4/2023 5:01,,,1955,5,30,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2405,1100,Finance & Investments,Joseph Steinberg,79,United States,New York,Investments,Finance & Investments,United States,,TRUE,U,M,2/5/1944 0:00,Steinberg,Joseph,,4/4/2023 5:01,New York,Northeast,1944,2,5,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Food & Beverage,Zachary Stern,41,United States,Jackson,Liquor,Food & Beverage,United States,,FALSE,Split Family Fortune,M,1/9/1982 0:00,Stern,Zachary,,4/4/2023 5:01,Wyoming,South,1982,1,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Manufacturing,Manny Stul,73,Australia,Melbourne,Toys,Manufacturing,Australia,,TRUE,D,M,5/9/1949 0:00,Stul,Manny,,4/4/2023 5:01,,,1949,5,9,119.8,1.6,"$1,392,680,589,329 ",113.1,100.3,82.7,23,47.4,25766605,-25.274398,133.775136 +2405,1100,Technology,Sun Hongjun,49,China,Shanghai,Semiconductors,Technology,China,,TRUE,D,M,7/1/1973 0:00,Sun,Hongjun,,4/4/2023 5:01,,,1973,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Manufacturing,Sun Weijie,59,China,Yantai,Oilfield equipment,Manufacturing,China,,TRUE,D,M,7/26/1963 0:00,Sun,Weijie,,4/4/2023 5:01,,,1963,7,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Technology,Sehat Sutardja,61,United States,Las Vegas,Semiconductors,Technology,United States,,TRUE,D,M,7/9/1961 0:00,Sutardja,Sehat,,4/4/2023 5:01,Nevada,West,1961,7,9,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Media & Entertainment,Min-Liang Tan,45,Singapore,Singapore,gaming,Media & Entertainment,Singapore,,TRUE,R,M,11/5/1977 0:00,Tan,Min-Liang,,4/4/2023 5:01,,,1977,11,5,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2405,1100,Fashion & Retail,Tan Yu Yeh,52,Malaysia,Selangor,Retail,Fashion & Retail,Malaysia,,TRUE,D,M,1/1/1971 0:00,Tan,Yu Yeh,,4/4/2023 5:01,,,1971,1,1,121.46,0.7,"$364,701,517,788 ",45.1,105.3,76,12,38.7,32447385,4.210484,101.975766 +2405,1100,Automotive,Tang Aoqi & family,77,China,Changzhou,Auto parts,Automotive,China,,TRUE,N,M,4/11/1945 0:00,Tang,Aoqi,,4/4/2023 5:01,,,1945,4,11,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Manufacturing,Vonnarat Tangkaravakoon,51,Thailand,Bangkok,"Wire & cables, paints",Manufacturing,Thailand,,FALSE,D,M,9/11/1971 0:00,Tangkaravakoon,Vonnarat,,4/4/2023 5:01,,,1971,9,11,113.27,0.7,"$543,649,976,166 ",49.3,99.8,76.9,14.9,29.5,69625582,15.870032,100.992541 +2405,1100,Food & Beverage,Tsao Ter-fung,76,Taiwan,Taipei,Food,Food & Beverage,Taiwan,,TRUE,N,M,1/1/1947 0:00,Tsao,Ter-fung,,4/4/2023 5:01,,,1947,1,1,,,,,,,,,,, +2405,1100,Manufacturing,Tung Ching Sai,58,China,Dongguan,Manufacturing,Manufacturing,China,,TRUE,D,M,1/1/1965 0:00,Tung,Ching Sai,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Technology,Arkady Volozh,59,Israel,Tel Aviv,Search engine,Technology,Russia,,TRUE,R,M,2/11/1964 0:00,Volozh,Arkady,,4/4/2023 5:01,,,1964,2,11,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +2405,1100,Manufacturing,Peter-Alexander Wacker,71,Germany,Starnberg,Chemicals,Manufacturing,Germany,,FALSE,U,M,10/2/1951 0:00,Wacker,Peter-Alexander,,4/4/2023 5:01,,,1951,10,2,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2405,1100,Food & Beverage,Wan Long,82,China,Luohe,Food,Food & Beverage,China,,TRUE,D,M,9/1/1940 0:00,Wan,Long,,4/4/2023 5:01,,,1940,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Diversified,Wang Han,35,China,Shanghai,Airline,Diversified,China,,FALSE,D,M,8/1/1987 0:00,Wang,Han,,4/4/2023 5:01,,,1987,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Media & Entertainment,Lars Wingefors,46,Sweden,Karlstad,Video games,Media & Entertainment,Sweden,,TRUE,D,M,4/2/1977 0:00,Wingefors,Lars,,4/4/2023 5:01,,,1977,4,2,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +2405,1100,Manufacturing,Allan Wong,73,Hong Kong,Hong Kong,Electronics,Manufacturing,Hong Kong,,TRUE,E,M,4/1/1950 0:00,Wong,Allan,,4/4/2023 5:01,,,1950,4,1,,,,,,,,,,, +2405,1100,Sports,Tiger Woods,47,United States,Jupiter Island,Golf,Sports,United States,PGA,TRUE,N,M,12/30/1975 0:00,Woods,Tiger,Athlete,4/4/2023 5:01,Florida,South,1975,12,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2405,1100,Fashion & Retail,Horst Wortmann,81,Germany,Detmold,Footwear,Fashion & Retail,Germany,,TRUE,D,M,5/8/1941 0:00,Wortmann,Horst,,4/4/2023 5:01,,,1941,5,8,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2405,1100,Telecom,Wu Kaiting,53,China,Xiamen,Electronics,Telecom,Hong Kong,,TRUE,D,M,12/1/1969 0:00,Wu,Kaiting,,4/4/2023 5:01,,,1969,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Manufacturing,Wu Li-gann,82,Taiwan,Kaohsiung,Electronic components,Manufacturing,Taiwan,,TRUE,D,M,1/1/1941 0:00,Wu,Li-gann,,4/4/2023 5:01,,,1941,1,1,,,,,,,,,,, +2405,1100,Food & Beverage,Wu Xiangdong,54,China,Beijing,Consumer,Food & Beverage,China,,TRUE,D,M,1/1/1969 0:00,Wu,Xiangdong,,4/4/2023 5:01,,,1969,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Healthcare,Xiu Laigui,68,China,Tonghua,Pharmaceuticals,Healthcare,China,,TRUE,D,M,7/1/1954 0:00,Xiu,Laigui,,4/4/2023 5:01,,,1954,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Healthcare,Xu Jiangnan,61,China,Leping,Vitamins,Healthcare,China,,TRUE,N,M,1/1/1962 0:00,Xu,Jiangnan,,4/4/2023 5:01,,,1962,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Telecom,Xue Jiping,72,China,Nantong,Cable,Telecom,China,,TRUE,D,M,1/1/1951 0:00,Xue,Jiping,,4/4/2023 5:01,,,1951,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Manufacturing,Yao Hsiao Tung,83,Singapore,Singapore,Manufacturing,Manufacturing,Singapore,,TRUE,U,M,1/1/1940 0:00,Yao,Hsiao Tung,,4/4/2023 5:01,,,1940,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2405,1100,Technology,Ye Qiongjiu,68,China,Hangzhou,Software,Technology,China,,TRUE,U,F,10/14/1954 0:00,Ye,Qiongjiu,,4/4/2023 5:01,,,1954,10,14,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Food & Beverage,Yanqiao Ye,53,China,Foshan,Soy sauce,Food & Beverage,China,,TRUE,D,M,10/1/1969 0:00,Ye,Yanqiao,,4/4/2023 5:01,,,1969,10,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Manufacturing,Yeh Kuo-I,81,,,Manufacturing,Manufacturing,Taiwan,,TRUE,D,M,4/21/1941 0:00,Yeh,Kuo-I,,4/4/2023 5:01,,,1941,4,21,,,,,,,,,,, +2405,1100,Media & Entertainment,Yu Faxiang,51,China,Shaoxing,"Tourism, cultural industry",Media & Entertainment,China,,TRUE,D,M,10/7/1971 0:00,Yu,Faxiang,,4/4/2023 5:01,,,1971,10,7,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Metals & Mining,Zeng Chaolin,40,China,Yongzhou,Aluminium,Metals & Mining,China,,FALSE,D,M,8/1/1982 0:00,Zeng,Chaolin,,4/4/2023 5:01,,,1982,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Construction & Engineering,Kapeng Zhang,58,China,Linhai,Building materials,Construction & Engineering,China,,TRUE,U,M,1/1/1965 0:00,Zhang,Kapeng,,4/4/2023 5:01,,,1965,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Fashion & Retail,Zhang Xuansong,51,China,Fuzhou,Supermarkets,Fashion & Retail,China,,TRUE,D,M,10/9/1971 0:00,Zhang,Xuansong,,4/4/2023 5:01,,,1971,10,9,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Food & Beverage,Zhang Xuewu,48,China,Changsha,Snacks,Food & Beverage,China,,TRUE,R,M,8/19/1974 0:00,Zhang,Xuewu,,4/4/2023 5:01,,,1974,8,19,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Technology,Zhu Yiming,50,China,Beijing,Semiconductors,Technology,China,,TRUE,D,M,7/1/1972 0:00,Zhu,Yiming,,4/4/2023 5:01,,,1972,7,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Manufacturing,Zhu Zhaojiang,49,China,Shenzhen,Smartphones,Manufacturing,China,,TRUE,D,M,1/1/1974 0:00,Zhu,Zhaojiang,,4/4/2023 5:01,,,1974,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2405,1100,Manufacturing,Zhuo Jun,57,Hong Kong,Hong Kong,Printed circuit boards,Manufacturing,Hong Kong,,FALSE,D,F,1/1/1966 0:00,Zhuo,Jun,,4/4/2023 5:01,,,1966,1,1,,,,,,,,,,, +2540,1000,Food & Beverage,Manohar Lal Agarwal,68,India,Delhi,Snacks,Food & Beverage,India,,FALSE,N,M,10/30/1954 0:00,Agarwal,Manohar Lal,,4/4/2023 5:01,,,1954,10,30,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2540,1000,Finance & Investments,Christian Angermayer,44,United Kingdom,London,Investments,Finance & Investments,Germany,,TRUE,D,M,4/26/1978 0:00,Angermayer,Christian,,4/4/2023 5:01,,,1978,4,26,119.62,1.7,"$2,827,113,184,696 ",60,101.2,81.3,25.5,30.6,66834405,55.378051,-3.435973 +2540,1000,Fashion & Retail,Ryuji Arai,76,Japan,Tokyo,Retail,Fashion & Retail,Japan,,TRUE,D,M,5/28/1946 0:00,Arai,Ryuji,,4/4/2023 5:01,,,1946,5,28,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2540,1000,Healthcare,Anna Maria Braun,44,Germany,Melsungen,Medical technology,Healthcare,Germany,,FALSE,D,F,1/1/1979 0:00,Braun,Anna Maria,,4/4/2023 5:01,,,1979,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2540,1000,Healthcare,Johanna Braun,43,Germany,Melsungen,Medical technology,Healthcare,Germany,,FALSE,E,F,1/1/1980 0:00,Braun,Johanna,,4/4/2023 5:01,,,1980,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2540,1000,Healthcare,Karl Friedrich Braun,40,Germany,Melsungen,Medical technology,Healthcare,Germany,,FALSE,E,M,1/1/1983 0:00,Braun,Karl Friedrich,,4/4/2023 5:01,,,1983,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2540,1000,Healthcare,Ludwig Theodor Braun,33,Germany,Melsungen,Medical technology,Healthcare,Germany,,FALSE,D,M,1/1/1990 0:00,Braun,Ludwig Theodor,,4/4/2023 5:01,,,1990,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2540,1000,Diversified,Ana Maria Brescia Cafferata,98,Peru,Lima,"Mining, banking",Diversified,Peru,,FALSE,D,F,4/19/1924 0:00,Brescia Cafferata,Ana Maria,,4/4/2023 5:01,,,1924,4,19,129.78,2.1,"$226,848,050,820 ",70.7,106.9,76.5,14.3,36.8,32510453,-9.189967,-75.015152 +2540,1000,Media & Entertainment,Jimmy Buffett,76,United States,Palm Beach,"Entertainment, Margaritaville",Media & Entertainment,United States,,TRUE,N,M,12/25/1946 0:00,Buffett,Jimmy,Musician,4/4/2023 5:01,Florida,,1946,12,25,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Gambling & Casinos,Hideyuki Busujima,70,Japan,Tokyo,Pachinko machines,Gambling & Casinos,Japan,,FALSE,R,M,9/30/1952 0:00,Busujima,Hideyuki,,4/4/2023 5:01,,,1952,9,30,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2540,1000,Finance & Investments,Edouard Carmignac,75,France,Paris,Asset management,Finance & Investments,France,,TRUE,D,M,9/4/1947 0:00,Carmignac,Edouard,,4/4/2023 5:01,,,1947,9,4,110.05,1.1,"$2,715,518,274,227 ",65.6,102.5,82.5,24.2,60.7,67059887,46.227638,2.213749 +2540,1000,Logistics,Chang Kuo-Ming,,Taiwan,Taipei,Transportation,Logistics,Taiwan,,FALSE,D,M,,Chang,Kuo-Ming,,4/4/2023 5:01,,,,,,,,,,,,,,,, +2540,1000,Manufacturing,Chen Jiancheng,64,China,Shangyu,Manufacturing,Manufacturing,China,,TRUE,D,M,1/13/1959 0:00,Chen,Jiancheng,,4/4/2023 5:01,,,1959,1,13,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Media & Entertainment,Rui Chen,45,China,Shanghai,Online entertainment,Media & Entertainment,China,,TRUE,R,M,1/1/1978 0:00,Chen,Rui,,4/4/2023 5:01,,,1978,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Manufacturing,Chen Shiliang,59,China,Tongxiang,Polyester,Manufacturing,China,,TRUE,D,M,12/1/1963 0:00,Chen,Shiliang,,4/4/2023 5:01,,,1963,12,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Technology,Tianqiao Chen,49,United States,Atherton,Online games,Technology,China,,TRUE,D,M,5/16/1973 0:00,Chen,Tianqiao,,4/4/2023 5:01,California,West,1973,5,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Energy,Yuantai Chen,55,China,Ningde,Batteries,Energy,China,,TRUE,D,M,3/1/1968 0:00,Chen,Yuantai,,4/4/2023 5:01,,,1968,3,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Food & Beverage,Cheng Antares,65,Hong Kong,Hong Kong,Liquor,Food & Beverage,Hong Kong,,TRUE,D,M,11/1/1957 0:00,Cheng,Antares,,4/4/2023 5:01,,,1957,11,1,,,,,,,,,,, +2540,1000,Manufacturing,Kochouseph Chittilappilly,72,India,Kochi,Electrical appliances,Manufacturing,India,,TRUE,R,M,12/27/1950 0:00,Chittilappilly,Kochouseph,,4/4/2023 5:01,,,1950,12,27,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2540,1000,Real Estate,John Christodoulou,57,Monaco,Monaco,Real estate,Real Estate,United Kingdom,,TRUE,N,M,5/24/1965 0:00,Christodoulou,John,,4/4/2023 5:01,,,1965,5,24,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +2540,1000,Finance & Investments,Pollyanna Chu,64,Hong Kong,Hong Kong,"Financial services, property",Finance & Investments,Hong Kong,,TRUE,E,F,8/3/1958 0:00,Chu,Pollyanna,,4/4/2023 5:01,,,1958,8,3,,,,,,,,,,, +2540,1000,Diversified,Turgay Ciner,67,Turkey,Istanbul,Diversified,Diversified,Turkey,,TRUE,D,M,3/1/1956 0:00,Ciner,Turgay,,4/4/2023 5:01,,,1956,3,1,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +2540,1000,Technology,Benoit Dageville,56,United States,San Carlos,Software,Technology,United States,,TRUE,D,M,6/29/1966 0:00,Dageville,Benoit,,4/4/2023 5:01,California,West,1966,6,29,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Real Estate,Mark Dixon,63,Monaco,Monaco,Office real estate,Real Estate,United Kingdom,,TRUE,D,M,11/2/1959 0:00,Dixon,Mark,,4/4/2023 5:01,,,1959,11,2,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +2540,1000,Technology,Du Yulin & family,50,China,Guangzhou,Software,Technology,China,,TRUE,N,M,8/1/1972 0:00,Du,Yulin,,4/4/2023 5:01,,,1972,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Healthcare,Feng Yuxia,58,China,Beijing,Pharmaceuticals,Healthcare,China,,TRUE,D,F,11/6/1964 0:00,Feng,Yuxia,,4/4/2023 5:01,,,1964,11,6,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Healthcare,Benedicte Find,68,Denmark,Copenhagen,Medical devices,Healthcare,Denmark,,FALSE,D,F,9/21/1954 0:00,Find,Benedicte,,4/4/2023 5:01,,,1954,9,21,110.35,0.8,"$348,078,018,464 ",80.6,101.3,81,32.4,23.8,5818553,56.26392,9.501785 +2540,1000,Fashion & Retail,William Fisher,66,United States,San Francisco,Gap,Fashion & Retail,United States,Gap Inc.,FALSE,D,M,4/1/1957 0:00,Fisher,William,Director,4/4/2023 5:01,California,West,1957,4,1,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Manufacturing,Gao Yunfeng,56,China,Shenzhen,Industrial lasers,Manufacturing,China,,TRUE,D,M,2/1/1967 0:00,Gao,Yunfeng,,4/4/2023 5:01,,,1967,2,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Real Estate,Jianming Geng,60,China,Langfang,Real estate,Real Estate,China,,TRUE,D,M,9/1/1962 0:00,Geng,Jianming,,4/4/2023 5:01,,,1962,9,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Finance & Investments,Sven Hagströmer,79,Sweden,Stockholm,Financial services,Finance & Investments,Sweden,,TRUE,D,M,11/30/1943 0:00,Hagströmer,Sven,,4/4/2023 5:01,,,1943,11,30,110.51,1.8,"$530,832,908,738 ",67,126.6,82.5,27.9,49.1,10285453,60.128161,18.643501 +2540,1000,Service,Clelia Haji-Ioannou,52,Monaco,Monte Carlo,EasyJet,Service,Cyprus,,FALSE,R,F,1/1/1971 0:00,Haji-Ioannou,Clelia,,4/4/2023 5:01,,,1971,1,1,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +2540,1000,Service,Stelios Haji-Ioannou,56,Monaco,Monte Carlo,EasyJet,Service,Cyprus,,FALSE,D,M,2/14/1967 0:00,Haji-Ioannou,Stelios,,4/4/2023 5:01,,,1967,2,14,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +2540,1000,Manufacturing,Hang Hong,55,China,Wuxi,Machinery,Manufacturing,China,,TRUE,D,F,1/1/1968 0:00,Hang,Hong,,4/4/2023 5:01,,,1968,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Manufacturing,He Yamin & family,66,China,Chengdu,Manufacturing,Manufacturing,China,,TRUE,D,M,2/23/1957 0:00,He,Yamin,,4/4/2023 5:01,,,1957,2,23,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Energy,Ghan Djoe Hiang,79,Indonesia,Jakarta,Coal,Energy,Indonesia,,FALSE,N,F,9/3/1943 0:00,Hiang,Ghan Djoe,,4/4/2023 5:01,,,1943,9,3,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2540,1000,Technology,Hong Feng,46,China,Beijing,Smartphones,Technology,China,,TRUE,D,M,1/1/1977 0:00,Hong,Feng,,4/4/2023 5:01,,,1977,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Fashion & Retail,Hong Seok-joh,70,South Korea,Seoul,Convenience stores,Fashion & Retail,South Korea,BGF Co. Ltd.,FALSE,D,M,1/8/1953 0:00,Hong,Seok-joh,,4/4/2023 5:01,,,1953,1,8,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +2540,1000,Healthcare,Hu Gengxi & family,59,China,Shanghai,Bio-Pharma,Healthcare,China,,TRUE,R,M,1/9/1964 0:00,Hu,Gengxi,,4/4/2023 5:01,,,1964,1,9,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Technology,Danilo Iervolino,45,Italy,Rome,Online universities,Technology,Italy,,TRUE,N,M,4/2/1978 0:00,Iervolino,Danilo,,4/4/2023 5:01,,,1978,4,2,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2540,1000,Finance & Investments,Hedda im Brahm-Droege,68,Germany,Dusseldorf,Investments,Finance & Investments,Germany,,TRUE,D,F,1/1/1955 0:00,im Brahm-Droege,Hedda,,4/4/2023 5:01,,,1955,1,1,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2540,1000,Manufacturing,Inder Jaisinghani,70,India,Mumbai,Cables & wires,Manufacturing,India,,TRUE,N,M,3/29/1953 0:00,Jaisinghani,Inder ,,4/4/2023 5:01,,,1953,3,29,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2540,1000,Sports,LeBron James,38,United States,Los Angeles,Basketball,Sports,United States,NBA,TRUE,N,M,12/30/1984 0:00,James,LeBron,Athlete,4/4/2023 5:01,California,West,1984,12,30,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Fashion & Retail,Johan Johannson,56,Norway,Oslo,Grocery stores,Fashion & Retail,Norway,,FALSE,D,M,1/1/1967 0:00,Johannson,Johan,,4/4/2023 5:01,,,1967,1,1,120.27,2.2,"$403,336,363,636 ",82,100.3,82.8,23.9,36.2,5347896,60.472024,8.468946 +2540,1000,Technology,Morris Kahn,93,Israel,Beit Yanay,Software,Technology,Israel,,TRUE,E,M,1/1/1930 0:00,Kahn,Morris,,4/4/2023 5:01,,,1930,1,1,108.15,0.8,"$395,098,666,122 ",63.4,104.9,82.8,23.1,25.3,9053300,31.046051,34.851612 +2540,1000,Manufacturing,Ashok Kajaria,75,India,Delhi,Tiles,Manufacturing,India,,TRUE,R,M,8/1/1947 0:00,Kajaria,Ashok,,4/4/2023 5:01,,,1947,8,1,180.44,7.7,"$2,611,000,000,000 ",28.1,113,69.4,11.2,49.7,1366417754,20.593684,78.96288 +2540,1000,Finance & Investments,Marcelo Kalim,53,Brazil,Sao Paulo,Banking,Finance & Investments,Brazil,,TRUE,E,M,10/15/1969 0:00,Kalim,Marcelo,,4/4/2023 5:01,,,1969,10,15,167.4,3.7,"$1,839,758,040,766 ",51.3,115.4,75.7,14.2,65.1,212559417,-14.235004,-51.92528 +2540,1000,Sports,Ken Kendrick,79,United States,Paradise Valley,"Banking, sports team",Sports,United States,,TRUE,E,M,9/2/1943 0:00,Kendrick,Ken,,4/4/2023 5:01,Arizona,West,1943,9,2,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Technology,Brad Keywell,53,United States,Chicago,"Software, investments",Technology,United States,,TRUE,N,M,10/27/1969 0:00,Keywell,Brad,,4/4/2023 5:01,Illinois,Midwest,1969,10,27,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Energy,Muhammed Aziz Khan,68,Singapore,Singapore,Power,Energy,Bangladesh,,TRUE,N,M,3/1/1955 0:00,Khan,Muhammed Aziz,,4/4/2023 5:01,,,1955,3,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2540,1000,Fashion & Retail,Kim Jung-woong,48,South Korea,Seoul,Cosmetics,Fashion & Retail,South Korea,,TRUE,D,M,1/1/1975 0:00,Kim,Jung-woong,,4/4/2023 5:01,,,1975,1,1,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +2540,1000,Diversified,Ihor Kolomoyskyy,60,Ukraine,Kiev,"Banking, investments",Diversified,Israel,,TRUE,E,M,2/13/1963 0:00,Kolomoyskyy,Ihor,,4/4/2023 5:01,,,1963,2,13,281.66,7.9,"$153,781,069,118 ",82.7,99,71.6,20.1,45.2,44385155,48.379433,31.16558 +2540,1000,Real Estate,Kong Jian Min,55,China,Guangzhou,Real estate,Real Estate,China,,TRUE,D,M,1/1/1968 0:00,Kong,Jian Min,,4/4/2023 5:01,,,1968,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Manufacturing,Koo Bon-neung,74,South Korea,Seoul,Electronics,Manufacturing,South Korea,Heesung Electronics,FALSE,D,M,3/26/1949 0:00,Koo,Bon-neung,,4/4/2023 5:01,,,1949,3,26,115.16,0.4,"$2,029,000,000,000 ",94.3,98.1,82.6,15.6,33.2,51709098,35.907757,127.766922 +2540,1000,Real Estate,Michael Kum,78,Singapore,Singapore,Hotels,Real Estate,Singapore,,TRUE,N,M,1/1/1945 0:00,Kum,Michael,,4/4/2023 5:01,,,1945,1,1,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2540,1000,Real Estate,Richard Kurtz,82,United States,Palm Beach,Real estate,Real Estate,United States,,TRUE,N,M,5/15/1940 0:00,Kurtz,Richard,,4/4/2023 5:01,Florida,South,1940,5,15,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Finance & Investments,Lev Kvetnoi,57,Russia,Moscow,Cement,Finance & Investments,Russia,,TRUE,R,M,8/27/1965 0:00,Kvetnoi,Lev,,4/4/2023 5:01,,,1965,8,27,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2540,1000,Finance & Investments,Michiel Le Roux,73,South Africa,Stellenbosch,Banking,Finance & Investments,South Africa,,TRUE,D,M,5/20/1949 0:00,Le Roux,Michiel,,4/4/2023 5:01,,,1949,5,20,158.93,4.1,"$351,431,649,241 ",22.4,100.9,63.9,27.5,29.2,58558270,-30.559482,22.937506 +2540,1000,Technology,Li Wanqiang,45,China,Beijing,Smartphones,Technology,China,,TRUE,D,M,8/1/1977 0:00,Li,Wanqiang,,4/4/2023 5:01,,,1977,8,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Fashion & Retail,Liu Baolin,69,China,Wuhan,Pharmacies,Fashion & Retail,China,,TRUE,E,M,6/1/1953 0:00,Liu,Baolin,,4/4/2023 5:01,,,1953,6,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Healthcare,Loo Choon Yong,74,Singapore,Singapore,Healthcare,Healthcare,Singapore,,TRUE,N,M,2/27/1949 0:00,Loo,Choon Yong,,4/4/2023 5:01,,,1949,2,27,114.41,0.6,"$372,062,527,489 ",84.8,100.6,83.1,13.1,21,5703569,1.352083,103.819836 +2540,1000,Technology,Lu Yonghua & family,59,China,Shanghai,Electronics,Technology,China,,TRUE,D,M,7/26/1963 0:00,Lu,Yonghua,,4/4/2023 5:01,,,1963,7,26,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Manufacturing,Ma Xiuhui,52,China,Shanghai,LED lighting,Manufacturing,China,,TRUE,D,F,1/7/1971 0:00,Ma,Xiuhui,,4/4/2023 5:01,,,1971,1,7,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Technology,Apoorva Mehta,36,United States,San Francisco,Grocery delivery service,Technology,Canada,Instacart,TRUE,D,M,7/19/1986 0:00,Mehta,Apoorva,Founder,4/4/2023 5:01,California,West,1986,7,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Manufacturing,Gabriella Meister,,Germany,Landsberg am Lech,Appliances,Manufacturing,Germany,,FALSE,D,F,,Meister,Gabriella,,4/4/2023 5:01,,,,,,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2540,1000,Manufacturing,Ulrike Meister,56,Germany,Landsberg,Appliances,Manufacturing,Germany,,FALSE,D,F,3/13/1967 0:00,Meister,Ulrike,,4/4/2023 5:01,,,1967,3,13,112.85,1.4,"$3,845,630,030,824 ",70.2,104,80.9,11.5,48.8,83132799,51.165691,10.451526 +2540,1000,Construction & Engineering,Andrei Molchanov,51,Russia,Moscow,Construction materials,Construction & Engineering,Russia,,TRUE,R,M,9/24/1971 0:00,Molchanov,Andrei,,4/4/2023 5:01,,,1971,9,24,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2540,1000,Manufacturing,Fulvio Montipò & family,78,Italy,Reggio Emilia,Hydraulic pumps,Manufacturing,Italy,,TRUE,N,M,10/22/1944 0:00,Montipò,Fulvio,,4/4/2023 5:01,,,1944,10,22,110.62,0.6,"$2,001,244,392,042 ",61.9,101.9,82.9,24.3,59.1,60297396,41.87194,12.56738 +2540,1000,Finance & Investments,Stanley Motta,77,,,Finance,Finance & Investments,Panama,,FALSE,N,M,6/15/1945 0:00,Motta,Stanley,,4/4/2023 5:01,,,1945,6,15,,,,,,,,,,, +2540,1000,Media & Entertainment,Tyler Perry,53,United States,Atlanta,"Movies, television",Media & Entertainment,United States,Television,TRUE,E,M,9/14/1969 0:00,Perry,Tyler,Director,4/4/2023 5:01,Georgia,South,1969,9,14,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Fashion & Retail,Réal Plourde,,Canada,Westmount,Convenience stores,Fashion & Retail,Canada,,TRUE,N,M,,Plourde,Réal,,4/4/2023 5:01,,,,,,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +2540,1000,Food & Beverage,Vera Rechulski Santo Domingo,74,Bermuda,,Beer,Food & Beverage,Brazil,,FALSE,E,F,12/26/1948 0:00,Rechulski Santo Domingo,Vera,,4/4/2023 5:01,,,1948,12,26,,,,,,,,,,, +2540,1000,Energy,George Sakellaris,76,United States,Milton,Energy services,Energy,United States,,TRUE,D,M,6/3/1946 0:00,Sakellaris,George,,4/4/2023 5:01,Massachusetts,Northeast,1946,6,3,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Media & Entertainment,Eddy Kusnadi Sariaatmadja,69,Indonesia,Jakarta,"Media, tech",Media & Entertainment,Indonesia,,TRUE,D,M,8/23/1953 0:00,Sariaatmadja,Eddy Kusnadi,,4/4/2023 5:01,,,1953,8,23,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2540,1000,Technology,Neerja Sethi,68,United States,Fisher Island,"IT consulting, outsourcing",Technology,United States,,TRUE,E,F,1/16/1955 0:00,Sethi,Neerja,,4/4/2023 5:01,Florida,South,1955,1,16,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Technology,Scott Smith,73,United States,Provo,Cloud computing,Technology,United States,,TRUE,D,M,4/12/1949 0:00,Smith,Scott,,4/4/2023 5:01,Utah,West,1949,4,12,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Service,Petter Stordalen & family,60,Norway,Oslo,Hotels,Service,Norway,,TRUE,D,M,11/29/1962 0:00,Stordalen,Petter,,4/4/2023 5:01,,,1962,11,29,120.27,2.2,"$403,336,363,636 ",82,100.3,82.8,23.9,36.2,5347896,60.472024,8.468946 +2540,1000,Diversified,Ivan Streshinsky,53,Russia,Moscow,"Metals, telecom",Diversified,Russia,,TRUE,N,M,10/2/1969 0:00,Streshinsky,Ivan,,4/4/2023 5:01,,,1969,10,2,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2540,1000,Finance & Investments,Sergei Sudarikov,51,Russia,Moscow,"Finance, development",Finance & Investments,Russia,,TRUE,R,M,5/12/1971 0:00,Sudarikov,Sergei,,4/4/2023 5:01,,,1971,5,12,180.75,4.5,"$1,699,876,578,871 ",81.9,102.6,72.7,11.4,46.2,144373535,61.52401,105.318756 +2540,1000,Manufacturing,Wijono Tanoko,70,Indonesia,Surabaya,Paints,Manufacturing,Indonesia,,FALSE,Split Family Fortune,M,8/28/1952 0:00,Tanoko,Wijono,,4/4/2023 5:01,,,1952,8,28,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2540,1000,Manufacturing,Haryanto Tjiptodihardjo,59,Indonesia,Jakarta,Manufacturing,Manufacturing,Indonesia,,FALSE,N,M,4/30/1963 0:00,Tjiptodihardjo,Haryanto,,4/4/2023 5:01,,,1963,4,30,151.18,3,"$1,119,190,780,753 ",36.3,106.4,71.5,10.2,30.1,270203917,-0.789275,113.921327 +2540,1000,Food & Beverage,David Tran & family,77,United States,Arcadia,Hot sauce,Food & Beverage,United States,,TRUE,N,M,11/19/1945 0:00,Tran,David,,4/4/2023 5:01,California,West,1945,11,19,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Media & Entertainment,Kenzo Tsujimoto,82,Japan,Osaka,Video games,Media & Entertainment,Japan,,TRUE,N,M,12/15/1940 0:00,Tsujimoto,Kenzo,,4/4/2023 5:01,,,1940,12,15,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2540,1000,Telecom,Murat Vargi,75,Turkey,Istanbul,Telecom,Telecom,Turkey,,TRUE,D,M,11/14/1947 0:00,Vargi,Murat,,4/4/2023 5:01,,,1947,11,14,234.44,15.2,"$754,411,708,203 ",23.9,93.2,77.4,17.9,42.3,83429615,38.963745,35.243322 +2540,1000,Technology,Shigefumi Wada,70,Japan,"Nakano, Tokyo",Software,Technology,Japan,,TRUE,E,M,8/30/1952 0:00,Wada,Shigefumi,,4/4/2023 5:01,,,1952,8,30,105.48,0.5,"$5,081,769,542,380 ",63.2,98.8,84.2,11.9,46.7,126226568,36.204824,138.252924 +2540,1000,Healthcare,Wan Feng & family,54,China,Shenzhen,Medical equipment,Healthcare,China,,TRUE,R,M,1/1/1969 0:00,Wan,Feng,,4/4/2023 5:01,,,1969,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Automotive,Wang Jianfeng & family,53,China,Ningbo,Auto parts,Automotive,China,,TRUE,D,M,,Wang,Jianfeng,,4/4/2023 5:01,,,,,,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Logistics,Masaru Wasami,77,,,Logistics,Logistics,Japan,,TRUE,R,M,5/23/1945 0:00,Wasami,Masaru,,4/4/2023 5:01,,,1945,5,23,,,,,,,,,,, +2540,1000,Finance & Investments,V. Prem Watsa,72,Canada,Toronto,"Insurance, investments",Finance & Investments,Canada,,TRUE,R,M,8/5/1950 0:00,Watsa,V. Prem,,4/4/2023 5:01,,,1950,8,5,116.76,1.9,"$1,736,425,629,520 ",68.9,100.9,81.9,12.8,24.5,36991981,56.130366,-106.346771 +2540,1000,Food & Beverage,Wen Pengcheng & family,60,China,Yunfu,Agribusiness,Food & Beverage,China,,TRUE,D,M,10/8/1962 0:00,Wen,Pengcheng,,4/4/2023 5:01,,,1962,10,8,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Sports,Toto Wolff,51,Monaco,,Sports,Sports,Austria,,TRUE,N,M,1/12/1972 0:00,Wolff,Toto,,4/4/2023 5:01,,,1972,1,12,,,"$7,184,844,193 ",,,,,,38964,43.7384176,7.4246158 +2540,1000,Manufacturing,Franziska Wuerbser,35,,,Kitchen appliances,Manufacturing,Germany,,FALSE,D,F,3/21/1988 0:00,Wuerbser,Franziska,,4/4/2023 5:01,,,1988,3,21,,,,,,,,,,, +2540,1000,Fashion & Retail,Xie Bingzheng & family,54,China,Guangzhou,Apparel,Fashion & Retail,China,,TRUE,N,M,1/1/1969 0:00,Xie,Bingzheng,,4/4/2023 5:01,,,1969,1,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Manufacturing,Xu Gang,59,China,Jiaozuo,Chemicals,Manufacturing,China,,TRUE,D,M,4/17/1963 0:00,Xu,Gang,,4/4/2023 5:01,,,1963,4,17,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Manufacturing,Yan Junxu,53,China,Taicang,Manufacturing,Manufacturing,China,,TRUE,D,M,7/17/1969 0:00,Yan,Junxu,,4/4/2023 5:01,,,1969,7,17,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Healthcare,Yi Xianzhong & family,63,China,Guangzhou,Pharmaceuticals,Healthcare,China,,TRUE,D,M,5/1/1959 0:00,Yi,Xianzhong,,4/4/2023 5:01,,,1959,5,1,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Healthcare,Yu Rong,51,China,Shanghai,Health clinics,Healthcare,China,,TRUE,D,M,12/14/1971 0:00,Yu,Rong,,4/4/2023 5:01,,,1971,12,14,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Food & Beverage,"Richard Yuengling, Jr.",80,United States,Pottsville,Beer,Food & Beverage,United States,,FALSE,E,M,3/10/1943 0:00,Yuengling,Richard,,4/4/2023 5:01,Pennsylvania,Northeast,1943,3,10,117.24,7.5,"$21,427,700,000,000 ",88.2,101.8,78.5,9.6,36.6,328239523,37.09024,-95.712891 +2540,1000,Manufacturing,Zhang Gongyun,60,China,Gaomi,Tyre manufacturing machinery,Manufacturing,China,,TRUE,R,M,12/18/1962 0:00,Zhang,Gongyun,,4/4/2023 5:01,,,1962,12,18,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Real Estate,Zhang Guiping & family,71,China,Nanjing,Real estate,Real Estate,China,,TRUE,D,M,8/21/1951 0:00,Zhang,Guiping,,4/4/2023 5:01,,,1951,8,21,125.08,2.9,"$19,910,000,000,000 ",50.6,100.2,77,9.4,59.2,1397715000,35.86166,104.195397 +2540,1000,Diversified,Inigo Zobel,66,Philippines,Makati,Diversified,Diversified,Philippines,,FALSE,R,M,11/1/1956 0:00,Zobel,Inigo,,4/4/2023 5:01,,,1956,11,1,129.61,2.5,"$376,795,508,680 ",35.5,107.5,71.1,14,43.1,108116615,12.879721,121.774017 diff --git a/interface/lib/chatbot.py b/backend/chatbot.py similarity index 83% rename from interface/lib/chatbot.py rename to backend/chatbot.py index 53649ac..0e244e9 100644 --- a/interface/lib/chatbot.py +++ b/backend/chatbot.py @@ -1,7 +1,7 @@ +from pathlib import Path from typing import List, Optional, Tuple, Union import pandas as pd -import streamlit as st from langchain.chains import ConversationalRetrievalChain, LLMChain from langchain.chains.combine_documents.stuff import StuffDocumentsChain from langchain.chat_models import AzureChatOpenAI @@ -19,7 +19,7 @@ ConversationSummaryBufferMemory, ConversationSummaryMemory, ) -from langchain.memory.chat_message_histories import StreamlitChatMessageHistory +from langchain.memory.chat_message_histories import ChatMessageHistory from langchain.prompts import ( ChatPromptTemplate, HumanMessagePromptTemplate, @@ -33,34 +33,73 @@ ) from langchain.vectorstores import Chroma -from interface.lib.logs import StreamHandler - - -@st.cache_resource -def get_llm( - temperature: float, model_version: str, live_streaming: bool = False -) -> AzureChatOpenAI: - """Returns an instance of AzureChatOpenAI based on the provided parameters.""" - if model_version == "4": - llm = AzureChatOpenAI( - deployment_name="gpt-4", - temperature=temperature, - openai_api_version="2023-07-01-preview", - streaming=live_streaming, - verbose=live_streaming, - ) - elif model_version == "3.5": - llm = AzureChatOpenAI( - deployment_name="gpt-35-turbo", - temperature=temperature, - openai_api_version="2023-03-15-preview", - streaming=live_streaming, - verbose=live_streaming, - ) - return llm +from backend.llm import get_model_instance + +def get_response(answer_chain: ConversationalRetrievalChain, query: str) -> str: + """Processes the given query through the answer chain and returns the formatted response.""" + return answer_chain.run(query) + +def get_answer_chain( + llm, docsearch: Chroma, memory: ConversationBufferMemory +) -> ConversationalRetrievalChain: + """Returns an instance of ConversationalRetrievalChain based on the provided parameters.""" + template = """Étant donné l'historique de conversation et la question suivante, \ +pouvez-vous reformuler dans sa langue d'origine la question de l'utilisateur \ +pour qu'elle soit auto porteuse. Assurez-vous d'éviter l'utilisation de pronoms peu clairs. + +Historique de chat : +{chat_history} +Question complémentaire : {question} + +Question reformulée : +""" + condense_question_prompt = PromptTemplate.from_template(template) + condense_question_chain = LLMChain( + llm=llm, + prompt=condense_question_prompt, + ) + + messages = [ + SystemMessage( + content=( + """En tant qu'assistant chatbot, votre mission est de répondre de manière \ +précise et concise aux interrogations des utilisateurs à partir des documents donnés en input. +Il est essentiel de répondre dans la même langue que celle utilisée pour poser la question. +Les réponses doivent être rédigées dans un style professionnel et doivent faire preuve \ +d'une grande attention aux détails. +""" + ) + ), + HumanMessage(content="Répondez à la question en prenant en compte le contexte suivant"), + HumanMessagePromptTemplate.from_template("{context}"), + HumanMessagePromptTemplate.from_template("Question: {question}"), + ] + system_prompt = ChatPromptTemplate(messages=messages) + qa_chain = LLMChain( + llm=llm, + prompt=system_prompt, + ) + + doc_prompt = PromptTemplate( + template="Content: {page_content}\nSource: {source}", + input_variables=["page_content", "source"], + ) + + final_qa_chain = StuffDocumentsChain( + llm_chain=qa_chain, + document_variable_name="context", + document_prompt=doc_prompt, + ) + + return ConversationalRetrievalChain( + question_generator=condense_question_chain, + retriever=docsearch.as_retriever(), + memory=memory, + combine_docs_chain=final_qa_chain, + verbose=False, + ) -@st.cache_resource def get_embeddings_model(embedding_api_base: str, embedding_api_key: str) -> OpenAIEmbeddings: """Returns an instance of OpenAIEmbeddings based on the provided parameters.""" return OpenAIEmbeddings( @@ -84,7 +123,6 @@ def get_documents(data: pd.DataFrame) -> List[Document]: return documents -@st.cache_data def load_documents(file_extension: str, file_path: str): """Loads documents based on the file extension and path provided.""" if file_extension == ".pdf": @@ -98,12 +136,11 @@ def load_documents(file_extension: str, file_path: str): elif file_extension in [".docx"]: loader = Docx2txtLoader(file_path) else: - st.error("Unsupported file type!") + raise Exception("Unsupported file type!") return loader.load() -@st.cache_data def get_chunks( _documents: List[str], chunk_size: int, chunk_overlap: int, text_splitter_type: int ) -> List[str]: @@ -121,17 +158,15 @@ def get_chunks( return text_splitter.split_documents(_documents) -@st.cache_resource def get_vector_store(_texts: List[str], _embeddings: OpenAIEmbeddings) -> Chroma: """Returns an instance of Chroma based on the provided parameters.""" return Chroma.from_documents(_texts, _embeddings) -@st.cache_data def choose_memory_type( memory_type: str, _llm: Optional[AzureChatOpenAI] = None ) -> Tuple[ - StreamlitChatMessageHistory, + ChatMessageHistory, Union[ ConversationBufferMemory, ConversationBufferWindowMemory, @@ -140,7 +175,7 @@ def choose_memory_type( ], ]: """Chooses the memory type for the conversation based on the provided memory_type string.""" - msgs = StreamlitChatMessageHistory(key="special_app_key") + msgs = ChatMessageHistory(key="special_app_key") if memory_type == "buffer": memory = ConversationBufferMemory( memory_key="chat_history", chat_memory=msgs, return_messages=True @@ -163,69 +198,18 @@ def choose_memory_type( ) return msgs, memory +if __name__ == "__main__": + llm = get_model_instance() -def get_answer_chain( - llm: AzureChatOpenAI, docsearch: Chroma, memory: ConversationBufferMemory -) -> ConversationalRetrievalChain: - """Returns an instance of ConversationalRetrievalChain based on the provided parameters.""" - template = """Étant donné l'historique de conversation et la question suivante, \ -pouvez-vous reformuler dans sa langue d'origine la question de l'utilisateur \ -pour qu'elle soit auto porteuse. Assurez-vous d'éviter l'utilisation de pronoms peu clairs. - -Historique de chat : -{chat_history} -Question complémentaire : {question} - -Question reformulée : -""" - condense_question_prompt = PromptTemplate.from_template(template) - condense_question_chain = LLMChain( - llm=llm, - prompt=condense_question_prompt, - ) - - messages = [ - SystemMessage( - content=( - """En tant qu'assistant chatbot, votre mission est de répondre de manière \ -précise et concise aux interrogations des utilisateurs à partir des documents donnés en input. -Il est essentiel de répondre dans la même langue que celle utilisée pour poser la question. -Les réponses doivent être rédigées dans un style professionnel et doivent faire preuve \ -d'une grande attention aux détails. -""" - ) - ), - HumanMessage(content="Répondez à la question en prenant en compte le contexte suivant"), - HumanMessagePromptTemplate.from_template("{context}"), - HumanMessagePromptTemplate.from_template("Question: {question}"), - ] - system_prompt = ChatPromptTemplate(messages=messages) - qa_chain = LLMChain( - llm=llm, - prompt=system_prompt, - ) - - doc_prompt = PromptTemplate( - template="Content: {page_content}\nSource: {source}", - input_variables=["page_content", "source"], - ) - - final_qa_chain = StuffDocumentsChain( - llm_chain=qa_chain, - document_variable_name="context", - document_prompt=doc_prompt, - ) + embeddings = get_embeddings_model("https://poc-openai-artefact.openai.azure.com/", "") - return ConversationalRetrievalChain( - question_generator=condense_question_chain, - retriever=docsearch.as_retriever(), - memory=memory, - combine_docs_chain=final_qa_chain, - verbose=False, - ) + documents = load_documents(".csv", str(Path(__file__).parent / "billionaires_csv.csv")) + texts = get_chunks(documents, chunk_size=1500, chunk_overlap=200, text_splitter_type="recursive") + docsearch = get_vector_store(texts, embeddings) + msgs, memory = choose_memory_type(memory_type="buffer") + answer_chain = get_answer_chain(llm, docsearch, memory) - -def get_response(answer_chain: ConversationalRetrievalChain, query: str) -> str: - """Processes the given query through the answer chain and returns the formatted response.""" - stream_handler = StreamHandler(st.empty()) - return answer_chain.run(query, callbacks=[stream_handler]) + prompt = "Qui sont les 3 personnes les plus riches en france ?" + response = get_response(answer_chain, prompt) + print("Prompt :", prompt) + print("Response: ", response) diff --git a/lib/document_store.py b/backend/document_store.py similarity index 100% rename from lib/document_store.py rename to backend/document_store.py diff --git a/backend/llm.py b/backend/llm.py new file mode 100644 index 0000000..83d4843 --- /dev/null +++ b/backend/llm.py @@ -0,0 +1,17 @@ +from langchain import chat_models +from pathlib import Path +import yaml + +def get_model_instance(): + config = load_models_config() + llm_spec = getattr(chat_models, config["llm_model_config"]["model_source"]) + all_config_field = {**config["llm_model_config"], **config["llm_provider_config"]} + kwargs = {key: value for key, value in all_config_field.items() if key in llm_spec.__fields__.keys()} + return llm_spec(**kwargs) + + +def load_models_config(): + with open(Path(__file__).parent / "models_config.yaml", "r") as file: + return yaml.safe_load(file) + + diff --git a/lib/main.py b/backend/main.py similarity index 94% rename from lib/main.py rename to backend/main.py index c2aff6f..39c9d33 100644 --- a/lib/main.py +++ b/backend/main.py @@ -6,11 +6,11 @@ from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm from jose import JWTError, jwt -import lib.document_store as document_store +import backend.document_store as document_store from database.database import Database -from lib.document_store import StorageBackend -from lib.model import Doc -from lib.user_management import ( +from backend.document_store import StorageBackend +from backend.model import Doc +from backend.user_management import ( ALGORITHM, SECRET_KEY, User, @@ -116,8 +116,11 @@ async def chat_new(current_user: User = Depends(get_current_user)) -> dict: # P1 @app.post("/chat/user_message") async def chat_prompt(current_user: User = Depends(get_current_user)) -> dict: - """Send a message in a chat session.""" - pass + # TODO: Log message to db + # TODO: Get response from model + # TODO: Log response to db + # TODO: Return response + return {"message": f"Unique response: {uuid4()}"} @app.post("/chat/regenerate") @@ -147,7 +150,6 @@ async def chat(chat_id: str, current_user: User = Depends(get_current_user)) -> async def feedback_thumbs_up( message_id: str, current_user: User = Depends(get_current_user) ) -> None: - """Record a 'thumbs up' feedback for a message.""" with Database() as connection: connection.query( "INSERT INTO feedback (id, message_id, feedback) VALUES (?, ?, ?)", @@ -159,7 +161,6 @@ async def feedback_thumbs_up( async def feedback_thumbs_down( message_id: str, current_user: User = Depends(get_current_user) ) -> None: - """Record a 'thumbs down' feedback for a message.""" with Database() as connection: connection.query( "INSERT INTO feedback (id, message_id, feedback) VALUES (?, ?, ?)", diff --git a/lib/model.py b/backend/model.py similarity index 100% rename from lib/model.py rename to backend/model.py diff --git a/backend/models_config.yaml b/backend/models_config.yaml new file mode 100644 index 0000000..8261995 --- /dev/null +++ b/backend/models_config.yaml @@ -0,0 +1,21 @@ +llm_provider_config: + openai_api_type: azure + openai_api_base: https://poc-genai-gpt4.openai.azure.com/ + openai_api_version: 2023-07-01-preview + openai_api_key: + +llm_model_config: + model_source: AzureChatOpenAI + deployment_name: gpt4v + temperature: 0.1 + streaming: true + verbose: true + +embedding_provider_config: + openai_api_base: "https://poc-openai-artefact.openai.azure.com/" + openai_api_key: + +embedding_model_config: + model_source: OpenAIEmbeddings + deployment: text-embedding-ada-002 + chunk_size: 16 \ No newline at end of file diff --git a/lib/user_management.py b/backend/user_management.py similarity index 100% rename from lib/user_management.py rename to backend/user_management.py diff --git a/client/main.py b/client/main.py deleted file mode 100644 index e69de29..0000000 diff --git a/database/database.sqlite b/database/database.sqlite index e03d11acd7fd18240224ada2ee5788d4c869bc1e..a5155a81bc41ea7c94787f09bc94d981f16b2b01 100644 GIT binary patch delta 1279 zcma))y^mE@6vf}0`{wb0ymyc|g@FVUW2D(|zR%f}lMrGoG&V0(M9)4SkpvjRyb-!b zWhfye+Rh|4Rz@iZ{tfop!XIF3>pmmnM}bUkZgp3FckQ*-gZ+&M`x}qWjn6(le`S33 z$1lDUXQqNi;#cvrI1t~69YIguI`gUc@bq-p+FI4!Re#^#9In2TZr1xZb}xN(Bi&4Q z>uNjQUDcNI>Qdgh_1CwPlVS8q_T=C~X7a<4_(?n#&%_JyQ2fH=mAE_`w#FSgeRsGz z{y*p@S@5_~a4s9#Hb1^cxQa5a(f<#$@L+LS<+B_Wv(ZS0}k3tm;Nje3nUAJ5r zTuWYqswP{Nqmm}4oLg=yC-L ziW(bKg;EMW1!*jpk_uQEB(Prz%GNcO5^S{ch Optional[str]: + tab = stx.tab_bar(data=[ + stx.TabBarItemData(id="Login", title="Login", description=""), + stx.TabBarItemData(id="Signup", title="Signup", description="") + ], default="Login" + ) + if tab == "Login": + return login_form() + elif tab == "Signup": + return signup_form() + else: + st.error("Invalid auth mode") + return None + +def login_form() -> tuple[bool, Optional[str]]: + with st.form("Login"): + username = st.text_input("Username", key="username") + password = st.text_input("Password", type="password") + submit = st.form_submit_button("Log in") + + if submit: + session = None + token = get_token(username, password) + if token: + session = create_session() + session = authenticate_session(session, token) + else: + st.error("Wrong authent") + st.session_state["session"] = session + return session + + +def signup_form() -> tuple[bool, Optional[str]]: + with st.form("Signup"): + username = st.text_input("Username", key="username") + password = st.text_input("Password", type="password") + submit = st.form_submit_button("Sign up") + + if submit: + auth_session = None + success = sign_up(username, password) + if success: + token = get_token(username, password) + session = create_session() + auth_session = authenticate_session(session, token) + else: + st.error("Failed to signing up") + st.session_state["session"] = auth_session + return auth_session + + +def get_token(username: str, password: str) -> Optional[str]: + session = create_session() + response = session.post("/user/login", data={"username": username, "password": password}) + if response.status_code == 200 and "access_token" in response.json(): + return response.json()["access_token"] + else: + return None + + +def sign_up(username: str, password: str) -> bool: + session = create_session() + response = session.post("/user/signup", json={"email": username, "password": password}) + if response.status_code == 200 and "email" in response.json(): + return True + else: + return False + +def create_session() -> requests.Session: + session = BaseUrlSession(FASTAPI_URL) + return session + +def authenticate_session(session, bearer_token: str) -> requests.Session: + session.headers.update({"Authorization": f"Bearer {bearer_token}"}) + return session + +class BaseUrlSession(Session): + def __init__(self, base_url): + super().__init__() + self.base_url = base_url + + def request(self, method, url, *args, **kwargs): + if not self.base_url.endswith('/'): + self.base_url += '/' + if url.startswith('/'): + url = url[1:] + url = urljoin(self.base_url, url) + return super().request(method, url, *args, **kwargs) \ No newline at end of file diff --git a/frontend/lib/chat.py b/frontend/lib/chat.py new file mode 100644 index 0000000..a2bc956 --- /dev/null +++ b/frontend/lib/chat.py @@ -0,0 +1,43 @@ +from uuid import uuid4 + +import streamlit as st + +from dataclasses import dataclass +from streamlit_feedback import streamlit_feedback + +@dataclass +class Message: + user: str + text: str + id: str = None + + def __post_init__(self): + self.id = str(uuid4()) if self.id is None else self.id + +messages = [] + +def chat(): + prompt = st.chat_input("Say something") + + if prompt: + messages.append(Message("user", prompt)) + response = send_prompt(prompt) + messages.append(Message("assistant", response)) + + with st.container(border=True): + for message in messages: + with st.chat_message(message.user): + st.write(message.text) + if len(messages) > 0 and len(messages) % 2 == 0: + streamlit_feedback(key=str(len(messages)), feedback_type="thumbs", on_submit=lambda feedback: send_feedback(messages[-1].id, feedback)) + +def send_prompt(prompt: str): + session = st.session_state.get("session") + response = session.post("/chat/user_message", json={"prompt": prompt}) + return response.json()["message"] + +def send_feedback(message_id: str, feedback: str): + feedback = "thumbs_up" if feedback["score"] == "👍" else "thumbs_down" + session = st.session_state.get("session") + response = session.post(f"/feedback/{message_id}/{feedback}") + return response.text \ No newline at end of file diff --git a/interface/app.py b/interface/app.py deleted file mode 100644 index 07000dd..0000000 --- a/interface/app.py +++ /dev/null @@ -1,91 +0,0 @@ -import os -import tempfile -from datetime import datetime - -import streamlit as st -from dotenv import load_dotenv -from PIL import Image -from streamlit_feedback import streamlit_feedback - -import interface.lib.chatbot as utils -from interface.lib.auth import login_form - -load_dotenv() -embedding_api_base = os.getenv("EMBEDDING_OPENAI_API_BASE") -embedding_api_key = os.getenv("EMBEDDING_API_KEY") -FASTAPI_URL = "http://localhost:8000" - - -if __name__ == "__main__": - logo_chat = Image.open("interface/assets/logo_chat.png") - logo_tab = Image.open("interface/assets/logo_tab.jpeg") - logo_title = Image.open("interface/assets/logo_title.jpeg") - logo_user = Image.open("interface/assets/logo_user.png") - - st.set_page_config( - page_title="RAG ChatBot", - page_icon=logo_tab, - ) - - if not login_form(): - st.stop() - - st.image(logo_title) - st.caption( - "Démo d'un assistant IA, cloud agnostic, permettant de faire du RAG \ - sur différent type de document.\ - Le backend du ChatBot est APéïsé ce qui permet une meilleure scalabilité et robustesse." - ) - - uploaded_file = st.file_uploader("Upload a file", type=["pdf", "csv", "xlsx", "pptx", "docx"]) - - if uploaded_file: - temp_dir = tempfile.TemporaryDirectory() - temp_filepath = os.path.join(temp_dir.name, uploaded_file.name) - with open(temp_filepath, "wb") as f: - f.write(uploaded_file.read()) - - file_title, file_extension = os.path.splitext(uploaded_file.name) - - llm_40 = utils.get_llm(temperature=0.1, model_version="4", live_streaming=True) - embeddings = utils.get_embeddings_model(embedding_api_base, embedding_api_key) - - documents = utils.load_documents(file_extension, temp_filepath) - texts = utils.get_chunks( - documents, chunk_size=1500, chunk_overlap=200, text_splitter_type="recursive" - ) - docsearch = utils.get_vector_store(texts, embeddings) - msgs, memory = utils.choose_memory_type(memory_type="buffer") - answer_chain = utils.get_answer_chain(llm_40, docsearch, memory) - - if len(msgs.messages) == 0: - msgs.add_ai_message(f"Bonjour ! Je suis le ChatBot Skaff, comment puis-je vous aider ?") - - for msg in msgs.messages: - if msg.type == "ai": - with st.chat_message(msg.type, avatar=logo_chat): - st.markdown(msg.content) - else: - with st.chat_message(msg.type, avatar=logo_user): - st.markdown(msg.content) - - if prompt := st.chat_input(): - st.chat_message("human", avatar=logo_user).write(prompt) - with st.chat_message("ai", avatar=logo_chat): - response = utils.get_response(answer_chain, prompt) - st.markdown(response) - - feedback = streamlit_feedback( - feedback_type="thumbs", - optional_text_label="[Optional] Please provide an explanation", - ) - - if feedback: - data_dict = { - "query": prompt, - "answer": response, - "user": st.session_state.get("name", False), - "horodate": datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S"), - "feedback": feedback.get("feedback_type"), - } - print(data_dict) diff --git a/interface/lib/auth.py b/interface/lib/auth.py deleted file mode 100644 index 81788c8..0000000 --- a/interface/lib/auth.py +++ /dev/null @@ -1,60 +0,0 @@ -from typing import Optional - -import streamlit as st -from fastapi.testclient import TestClient - -from lib.main import app - -client = TestClient(app) - - -def log_in(username: str, password: str) -> Optional[str]: - response = client.post("/user/login", data={"username": username, "password": password}) - if response.status_code == 200 and "access_token" in response.json(): - return response.json()["access_token"] - else: - return None - - -def sign_up(username: str, password: str) -> str: - response = client.post("/user/signup", json={"username": username, "password": password}) - if response.status_code == 200 and "email" in response.json(): - return f"User {username} registered successfully." - else: - return "Registration failed." - - -def reset_pwd(username: str) -> str: - # Assuming there's an endpoint to request a password reset - response = client.post("/user/reset-password", json={"username": username}) - if response.status_code == 200: - return "Password reset link sent." - else: - return "Failed to send password reset link." - - -def login_form(): - """Form with widgets to collect user information.""" - action = st.selectbox("Choose Action", ["Log in", "Sign up", "Reset Password"]) - - with st.form("Credentials"): - username = st.text_input("Username") - # Password should not be asked when the user wants to reset the password - password = st.text_input("Password", type="password") if action != "Reset Password" else "" - - submitted = st.form_submit_button("Submit") - - if submitted: - if action == "Log in": - token = log_in(username, password) - if token: - st.success("Logged in successfully.") - # You can use the token here to make authenticated requests - else: - st.error("Login failed.") - elif action == "Sign up": - result = sign_up(username, password) - st.info(result) - elif action == "Reset Password": - result = reset_pwd(username, password) - st.info(result) diff --git a/lib/.gitkeep b/lib/.gitkeep deleted file mode 100644 index e69de29..0000000 diff --git a/pyproject.toml b/pyproject.toml index 72b3027..0082cb2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,18 +3,18 @@ requires = ["setuptools"] build-backend = "setuptools.build_meta" [project] -name = "scraping-hello-bank" +name = "rag-as-a-service" authors = [ { name = "sarah-lauzeral", email = "sarah.lauzeral@artefact.com" }, ] # TODO: Add more authors if collaborators are added -description = "scraping-hello-bank" +description = "rag-as-a-service" version = "0.0.1" readme = "README.md" requires-python = ">=3.8" [project.urls] -"Homepage" = "https://github.com/artefactory-fr/scraping-hello-bank" -"Documentation" = "https://artefactory-fr.github.io/scraping-hello-bank" +"Homepage" = "https://github.com/artefactory-fr/rag-as-a-service" +"Documentation" = "https://artefactory-fr.github.io/rag-as-a-service" [tool.setuptools] packages = ["lib", "config", "tests"] diff --git a/sandbox_alexis/main.py b/sandbox_alexis/main.py deleted file mode 100644 index 83552e3..0000000 --- a/sandbox_alexis/main.py +++ /dev/null @@ -1,49 +0,0 @@ -from langchain.embeddings import GPT4AllEmbeddings -from langchain.vectorstores.chroma import Chroma -from storage_backend import StorageBackend, get_storage_root_path -from text_splitter import load_and_split_document - -data = """One of the most important things I didn't understand about the world when I was a child \ -is the degree to which the returns for performance are superlinear. -Teachers and coaches implicitly told us the returns were linear. -"You get out," I heard a thousand times, "what you put in." -They meant well, but this is rarely true. -If your product is only half as good as your competitor's, you don't get half as many customers. -You get no customers, and you go out of business. -It's obviously true that the returns for performance are superlinear in business. -Some think this is a flaw of capitalism, and that if we changed the rules it would stop being true. -But superlinear returns for performance are a feature of the world, \ -not an artifact of rules we've invented. We see the same pattern in fame, power, \ -military victories, knowledge, and even benefit to humanity. In all of these, the rich get richer. -[1]You can't understand the world without understanding the concept of superlinear returns. -And if you're ambitious you definitely should, because this will be the wave you surf on. - -It may seem as if there are a lot of different situations with superlinear returns, \ -but as far as I can tell they reduce to two fundamental causes: exponential growth and thresholds. -The most obvious case of superlinear returns is when you're working on something \ -that grows exponentially. For example, growing bacterial cultures. -When they grow at all, they grow exponentially. But they're tricky to grow. -Which means the difference in outcome between someone who's adept at it \ -and someone who's not is very great. Startups can also grow exponentially, \ -and we see the same pattern there. Some manage to achieve high growth rates. Most don't. -And as a result you get qualitatively different outcomes: \ -the companies with high growth rates tend to become immensely valuable, \ -while the ones with lower growth rates may not even survive. -Y Combinator encourages founders to focus on growth rate rather than absolute numbers. -It prevents them from being discouraged early on, when the absolute numbers are still low. -It also helps them decide what to focus on: \ -you can use growth rate as a compass to tell you how to evolve the company. \ -But the main advantage is that by focusing on growth rate \ -you tend to get something that grows exponentially. -YC doesn't explicitly tell founders that with growth rate "you get out what you put in," \ -but it's not far from the truth. And if growth rate were proportional to performance, \ -then the reward for performance p over time t would be proportional to pt. -Even after decades of thinking about this, I find that sentence startling. -""" - -split_documents = load_and_split_document(text=data) -root_path = get_storage_root_path("dbt-server-alexis3-36fe-rag", StorageBackend.GCS) -vector_store = Chroma( - persist_directory=root_path / "chromadb", embedding_function=GPT4AllEmbeddings() -) -db = vector_store.add_documents(split_documents) diff --git a/sandbox_alexis/text_splitter.py b/sandbox_alexis/text_splitter.py deleted file mode 100644 index 919ae2d..0000000 --- a/sandbox_alexis/text_splitter.py +++ /dev/null @@ -1,28 +0,0 @@ -from typing import List, Optional - -from langchain.document_loaders import TextLoader -from langchain.schema.document import Document -from langchain.text_splitter import RecursiveCharacterTextSplitter - - -def load_and_split_document( - file_path: Optional[str] = None, - text: Optional[str] = None, - chunk_size: Optional[int] = 5000, - chunk_overlap: Optional[int] = 50, -) -> List[Document]: - """Loads a document from a file or text and splits it into chunks.""" - if file_path and text: - raise ValueError("Only one of `file_path` or `text` should be provided.") - - text_splitter = RecursiveCharacterTextSplitter( - chunk_size=chunk_size, chunk_overlap=chunk_overlap - ) - - if file_path: - loader = TextLoader(file_path=file_path) - doc = loader.load() - if text: - doc = [Document(page_content=text)] - - return text_splitter.split_documents(doc) diff --git a/sandbox_alexis/vector_store.py b/sandbox_alexis/vector_store.py deleted file mode 100644 index 2954171..0000000 --- a/sandbox_alexis/vector_store.py +++ /dev/null @@ -1,6 +0,0 @@ -import chromadb -from storage_backend import StorageBackend, get_storage_root_path - -root_path = get_storage_root_path("sample_bucket", StorageBackend.GCS) -client = chromadb.PersistentClient(root_path / "chromadb") -collection = client.get_or_create_collection("embeddings")