Migration Drivers in Uttarakhand Himalayas Based on Mixed-Methods Analysis

Aayush Shah's study analyzes rural out-migration patterns and drivers in Uttarakhand, India, integrating spatial and empirical analysis of secondary data with thematic analysis of qualitative interviews. The dataset, last updated in 2026, likely contains findings linking migration to climate change, employment scarcity, and agricultural constraints. It draws on secondary data from the Uttarakhand Rural Development and Migration Commission and the Census of India.

Use Cases

• Modeling migration patterns based on spatial and empirical analysis of secondary data.
• Analyzing climate change as a driver of out-migration based on thematic analysis findings.
• Evaluating perceptions of government and NGO interventions based on qualitative interview data.
• Studying destination preferences of migrants based on thematic analysis results.

Strengths

• Integrates spatial analysis, empirical analysis, and thematic analysis from multiple data sources.
• Includes qualitative data from personal, group, and key informant interviews and focus group discussions.
• Draws on secondary data from authoritative sources like the Uttarakhand Rural Development and Migration Commission and the Census of India.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is a 27.0 KB DOCX file, indicating a limited scope, likely containing summary findings rather than raw data.

Provenance

Source

figshare, authored by Aayush Shah.

Collection Method

Mixed-methods approach integrating secondary data analysis with qualitative interviews.

Freshness

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

Geography

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