Qualitative Data on Gender and Climate Risks for Migrants in Coastal Bangladesh

A 13.3 KB qualitative dataset from fieldwork in Mongla, Bangladesh, examines the gendered and intersectional dimensions of climate risks and resilience among internal migrants. The dataset, created by Anouk Brisebois and last updated in April 2026, likely contains coded interview or survey responses. It focuses on how factors like gender, age, and economic status shape vulnerability and access to resources in an urban destination area.

Use Cases

• Analyzing gendered vulnerability to climate hazards based on migrant status and economic conditions mentioned in the description
• Studying the intersection of social determinants like age and parental status with access to institutional aid
• Modeling resilience factors for newly arrived migrant women in urban coastal areas
• Informing policy design for equitable migrant support based on qualitative insights into power dynamics and social differentiation

Strengths

• Dataset is small (13.3 KB), facilitating quick download and initial inspection.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and sharing.
• Focus on an underexplored topic combining climate change, migration, and gender in a specific geographic context.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single qualitative study in Mongla, which may limit generalizability.

Provenance

Source

Anouk Brisebois via figshare

Collection Method

Qualitative fieldwork conducted in Mongla, Bangladesh.

Freshness

Last updated 2026-04-19 06:19:24

Geography

Mongla, a coastal urban area in Bangladesh.