Uttarakhand Migration Drivers from Climate and Socio-Economic Factors

23 KB document analyzes rural out-migration patterns in Uttarakhand, India, integrating secondary data from the Uttarakhand Rural Development and Migration Commission and Census of India with qualitative interviews. Author Aayush Shah published the study on figshare in May 2026. The mixed-methods approach examines structural drivers, including climate change, employment scarcity, and agricultural constraints.

Use Cases

• Analyze spatial patterns of severe out-migration based on secondary data analysis mentioned in the description
• Identify structural drivers of migration based on employment scarcity and agricultural constraints
• Model destination preferences of migrants based on thematic analysis findings
• Assess perceptions of government and NGO interventions based on qualitative interview data

Strengths

• Mixed-methods approach integrates spatial/empirical analysis with qualitative interviews
• Data sources include official secondary data from the Uttarakhand Rural Development and Migration Commission and Census of India
• Qualitative component includes personal (n=5), group (n=1), key informant (n=2) interviews and focus group discussions (n=3)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic bias inherent to the study's focus on Nainital town and Almora district villages

Provenance

Source

Uttarakhand Rural Development and Migration Commission and Census of India, plus qualitative fieldwork

Collection Method

Mixed-methods approach with secondary data analysis and thematic analysis of interviews and focus groups

Freshness

Last updated 2026-05-22 16:39:49; freshness should be verified

Geography

Uttarakhand, India, specifically Nainital town and villages of Almora district