Harvard Dataverse hosts a database on socio-demographic information, livelihood returns, household assets, and food insecurity for Sundarbans mangrove forest-dependent communities in southwestern Bangladesh. Authored by Md. Tanvir Hossain, the dataset was last updated in March 2026.
Use Cases
- Analyze correlations between household_assets and dietary_diversity scores.
- Model household_vulnerability based on socio-demographic information and livelihood_returns.
- Assess food_insecurity levels across different communities using survey metrics.
Strengths
- Focuses on a specific population: Sundarbans mangrove forest-dependent people.
- Covers multiple integrated themes: assets, vulnerability, and food security.
Limitations
- Unknown sample size prevents assessment of statistical power.
- Specific column definitions and data collection methodology are not provided.
Provenance
- Source
- Harvard Dataverse.
- Freshness
- Updated March 2026.
- Geography
- Southwestern Bangladesh, Sundarbans mangrove forest region.