2025 population + 2025 per-capita income at every important geography — updated annually.
This is the main overview of Strategist Technologies’ India affluence framework. It brings together current market size, current income and structural prosperity from state and district down to tehsil, town, village, pincode and ward.
See the data sources, estimation framework and validation approach behind the annual population and per-capita-income estimates.
Methodology & ValidationHow large is the market now?
Annual estimates provide a current population picture below district level instead of leaving local market size frozen at the last Census.
How affluent is the market now?
Estimated per-capita income is available directly at micro level, so current affluence can be compared in income terms rather than only through a proxy index.
What is the structural affluence base?
Household asset ownership provides a consistent historical affluence benchmark and the 2011 micro-level anchor used to build the income framework.
The Census is the historical anchor. Built-up area, school enrollment and other current signals extend the population picture forward, giving annual estimates including 2025.
The Prosperity Index remains useful, but the current output also includes estimated per-capita income itself. GDP, bank credit and VIIRS help carry the 2011 micro-level income anchor forward.
For every geography: Prosperity Index + current population + current per-capita income.
A consistent structural measure of affluence across very different Indian geographies.
Strategist’s Prosperity Index is built from Census household penetration of ten assets and services. Less-common assets receive higher weight: the weight for an asset is 100 divided by its national household penetration. The Prosperity Index is the weighted sum of the ten indicators.
Its role has changed.
The 2011 Prosperity Index closely mimics per-capita income, making it valuable as a micro-level 2011 income anchor. But for current market analysis, the model now produces estimated per-capita income directly; users are not limited to the proxy itself.
Official and historical data provide the anchor. Newer local signals update the picture and distribute growth below district level.
| Stage | Key inputs | Output |
|---|---|---|
| Population baseline | Census 1951–2011 and official state projections 2012–2036. | Controlled state and district population paths. |
| Local population update | Built-up-area growth, school enrollment and household-size change. | Annual tehsil, town, village, ward and pincode population estimates, including 2025. |
| 2011 income anchor | Prosperity Index, which closely mimics per-capita income. | A micro-level income base below district level. |
| Income growth | District GDP, fixed growth curve and recent-growth fit. | Annual district GDP and per-capita-income paths, including 2025 and extended to 2030. |
| Local growth split | Urbanization, recent bank-credit growth and VIIRS nightlight where reliable. | Annual local per-capita-income estimates for tehsils, towns, villages, wards and pincodes. |
Start at the level that matches your decision, then move up or down without changing the underlying comparison framework.
Regional prioritization.
Compare market size, income and prosperity across districts within and across states.
Below district averages.
Separate stronger and weaker semi-urban and rural markets inside a district.
Urban market momentum.
Compare metros, large towns and smaller urban centres using current population, income and prosperity.
Rural opportunity.
Find stronger village markets and clusters hidden inside district-level averages.
Link directly to customers.
Compare sales or customer density with current local population, income and prosperity.
See inside the city.
Reveal premium neighbourhoods, dense middle markets and emerging urban growth zones.
Rank markets by estimated per-capita income and structural prosperity.
Use current population to distinguish small premium pockets from large middle markets.
Use income and population change to identify markets moving faster than their current level suggests.
Overlay sales, outlets or customers to find underpenetrated markets with attractive local potential.
Current income, population scale and structural prosperity answer different questions. Used together, they produce more useful market segments than any single variable.
High per-capita income and strong prosperity point to concentrated premium purchasing power.
Large population with moderate income can represent more total opportunity than a small affluent pocket.
Markets with improving income or population can be identified before they look exceptional on static affluence alone.
Move from the India-wide framework to real micro-market views.