ICRISAT VDSA (Village Dynamics in South Asia)

ICRISAT VDSA (Village Dynamics in South Asia)

MH Specific

Longitudinal household-level panel data from 4 Maharashtra villages covering income, assets, consumption, and agricultural practices over 30+ years

Build a rural household livelihood analyzer using longitudinal village survey data to understand poverty dynamics in Maharashtra.
Homepage

Quick Start

# Download from http://vdsa.icrisat.org/
import pandas as pd
df = pd.read_csv('vdsa_household.csv')
print(f"Records: {len(df)}")
print(f"Villages: {df['Village_ID'].nunique()}")
print(f"Years: {df['Year'].min()}-{df['Year'].max()}")
Modality
Tabular (CSV/XLS)
Size
864 panel households; 18 villages
License
Format
CSV
Language
en
Update Frequency
static
Organization
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)
Category
agriculture-rural

Schema

FieldTypeDescription
village_idstringVillage identifier
household_idstringHousehold identifier
yearintSurvey year
variablestringSurvey variable name
valuefloatObserved value

Build With This

Create a rural distress early warning system using household-level economic indicators from VDSA villages in Maharashtra
Develop a migration prediction model based on village-level economic and agricultural trends
Build a policy impact evaluator that measures before/after effects of government interventions on VDSA villages

AI Use Cases

Poverty dynamics modellingsmallholder livelihood analysisclimate adaptation studies
Last verified: 2026-03-07