Data · dataset · 2026
District-Level Solar Resource, Climate, Energy Access and Poverty Data for Bangladesh
Listed in Teesside University Research Data Repository
This dataset provides district-level data on solar resource, climate, energy access and poverty in Bangladesh, compiled to support solar investment planning.
Description
It covers all 64 districts (one row per district, 13 columns), merging four open data sources into one table. Column definitions and units are given in data_dictionary.csv.
Contents • Solar and climate (NASA POWER, monthly 2020–2024, at each district centroid): mean, minimum, maximum and standard deviation of all-sky solar irradiance (kWh/m²/day), mean temperature (°C), precipitation (mm/day) and cloud amount (%). • Settlements and grid access (World Bank Distributed Renewable Energy (DRE) dataset, 2025): number of settlement clusters, total settlement population, and mean distance to the nearest existing transmission line (km). • Poverty (Poverty Map of Bangladesh 2022, BBS and WFP): district poverty Head Count Ratio, 2022 (%). • District boundaries (geoBoundaries ADM2), used to aggregate point data to districts.
Read the rest (2 more)
Sources and acknowledgements • NASA POWER (power.larc.nasa.gov): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program. • World Bank Group (2025). Bangladesh – Distributed Renewable Energy (DRE). energydata.info. CC BY 4.0. • Runfola, D. et al. (2020). geoBoundaries: A global database of political administrative boundaries.
PLoS ONE 15(4): e0231866. CC BY 4.0. • BBS and WFP. Poverty Map of Bangladesh 2022 (annex: district poverty Head Count Ratio, 2022).
Links
Where it is published
- DOI doi.org/10.17632/9srsdtrkjc.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Energy · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Climate change science 69% · Tabular 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/9srsdtrkjc.1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3702 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:energy | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |