Explore
Data
Tools & benchmarks
The causal-inference toolkit: estimators, figures, and tables.
Shock trade flows and read the effect through the model.
Inject a sector shock and trace it through input-output linkages.
Bangladesh against peer economies across indicators.
How concentrated exports are, by product and market.
Satellite-derived indicators for Bangladesh.
Open data
Everything in the Data Explorer is available programmatically. The API is free and requires no key. Series names follow {source}_{indicator} (for example wb_fp_cpi_totl_zg is World Bank CPI inflation). Values are served exactly as published by the origin source; no imputation, no smoothing.
| Endpoint | Returns |
|---|---|
/api/lake/statscurl https://bdpolicylab.com/api/lake/stats | Lake totals: series count, observation count, year range, source count. |
/api/lake/search?q={term}&limit={n}curl "https://bdpolicylab.com/api/lake/search?q=inflation&limit=10" | Full-text search over series names and descriptions. limit ≤ 200. |
/api/lake/series/{name}curl https://bdpolicylab.com/api/lake/series/wb_fp_cpi_totl_zg | Series metadata plus the last 25 observations. |
/api/lake/points/{name}curl "https://bdpolicylab.com/api/lake/points/wb_fp_cpi_totl_zg?start_year=2000" | Full time series as JSON. Optional start_year and end_year filters. |
/api/lake/points/{name}.csvcurl -O https://bdpolicylab.com/api/lake/points/wb_fp_cpi_totl_zg.csv | Same series as CSV with a commented provenance header. Optional year filters. |
/api/lake/catalog.csvcurl -O https://bdpolicylab.com/api/lake/catalog.csv | The full series catalog: name, source, description, unit, frequency, coverage. |
The API republishes primary-source data (World Bank, Bangladesh Bank, BBS, IMF, WHO, FAO, ILO, and others) under each origin's own terms. When you publish work built on it, cite the original source; a link back to bdpolicylab.com is appreciated but not required. No uptime guarantee; heavy bulk use should start from catalog.csv rather than crawling the search endpoint.