03/11/2022
Chapter 1 description
Data source: WDI
Indicators: NY.GDP.PCAP.PP.CD
Data source: WDI
Indicators: SI.POV.DDAY
Data source: WDI
Indicators: NY.GDP.PCAP.PP.CD, SI.POV.DDAY
Data source: WDI
Indicators: NY.GDP.PCAP.PP.CD, SI.POV.DDAY
Data source: WDI
Indicators: “NV.AGR.TOTL.ZS”, “NV.IND.TOTL.ZS”, “NV.SRV.TOTL.ZS”, “SL.AGR.EMPL.ZS”, “SL.IND.EMPL.ZS”, “SL.SRV.EMPL.ZS”, “SL.AGR.EMPL.MA.ZS”, “SL.IND.EMPL.MA.ZS”, “SL.SRV.EMPL.MA.ZS”, “SL.AGR.EMPL.FE.ZS”, “SL.IND.EMPL.FE.ZS”, “SL.SRV.EMPL.FE.ZS”
Data source: https://www.iea.org/data-and-statistics/data-browser/?country=BANGLADESH&fuel=Energy%20supply&indicator=TESbySource
Data source: https://ourworldindata.org/natural-disasters
Country: Bangladesh
Disaster type: All disasters (by type)
Impact: Deaths, Economic damages (%GDP)
Timespan: Decadal average
Frequency of natural disasters by type
Data source: https://public.emdat.be/data
Total deaths from natural disasters by type
Data source: https://public.emdat.be/data
Total damages from natural disasters by type, Adjusted (’000 US$)
Data source: https://public.emdat.be/data
Data source: https://public.emdat.be/data
Data source: https://public.emdat.be/data
Source: CAIT
Country: Bangladesh
Sector: Total including LUCF
Gases: All GHG
Vulnerability scores (0-1 lower is better), 2019
Data source: https://gain.nd.edu/our-work/country-index/download-data/
Readiness scores (0-1 higher is better), 2019
Data source: https://gain.nd.edu/our-work/country-index/download-data/
Data source: https://gain.nd.edu/our-work/country-index/download-data/