Methodology & Validation

How We Estimate Current Population and Per-Capita Income at Micro Level

2025 estimates for states, districts, tehsils, towns, villages, pincodes and wards — updated annually.

The goal is simple: keep the strength of official and historical data, but do not leave the local picture frozen at the last Census or limited to a proxy measure of affluence.

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Pincode Ward Town Village District Tehsil

Population 2025

Current local market size.

Historical Census and official projections are updated below district level using built-up growth, school enrollment and household-size change.

Per-Capita Income 2025

Current affluence in income terms.

The Prosperity Index anchors 2011 micro-level income; district GDP and local growth signals then extend the income picture forward.

Annual Updates

A living dataset.

The framework is designed to be refreshed as newer population, GDP, credit, built-up and nightlight signals become available.

The Census and Prosperity Index are anchors — not the final current output

Population

The Census provides the historical backbone. The model extends that backbone beyond 2011 so the user receives an estimated current population, including 2025, at micro-geography level.

Affluence

The Prosperity Index closely mimics per-capita income and therefore provides the 2011 micro-level income anchor. The final current output is estimated per-capita income itself, including 2025.

Observed and official anchors + current local signals → annual micro-level estimates.

The method in one view

The framework starts with trusted official anchors, then uses newer ground signals to bring the picture below district level.

Model Stage	What it uses	What it produces
Population baseline	Census 1951–2011 and official state projections 2012–2036.	A controlled population path for states and districts.
Local population update	Built-up area, school enrollment and household-size change.	Annual tehsil, town, village, ward and pincode population estimates that reflect post-2011 reality, including 2025.
2011 income anchor	Prosperity Index, which closely mimics per capita income.	A 2011 micro-level income base used to build current per-capita-income estimates; it is not the final current-affluence output.
Growth to 2030	District GDP from Budget / Economic Survey sources, fixed growth curve and recent growth fit.	Annual district GDP and per-capita-income estimates, including 2025, extended to 2030.
Local growth split	Urbanization, last-three-year bank-credit growth and VIIRS nightlight where reliable.	Annual tehsil, town, village, ward and pincode per-capita-income estimates, including 2025.

Why newer signals matter: Bengaluru

Bengaluru shows why the model does not rely on census extrapolation alone. The census-only curve fits 1951–2011 well, but adding a 2021 population estimate derived from built-up area and school enrollment materially shifts the trajectory toward the city’s post-2011 reality.

Bengaluru census-only logistic curve — Census-only trajectory: strong historical fit, but limited to old census signals.

Bengaluru updated logistic curve with newer signals — Re-anchored trajectory: 2021 built-up and school enrollment signals change the curve.

Population estimation model

Census provides the backbone. Built-up area, school enrollment and household-size change make the estimate responsive to current local change.

Districts

Fit a logistic baseline to census history, blend with school-enrollment trajectory and normalize to state totals.

Towns and villages

Re-anchor the path using built-up growth and changing household size, then normalize to district totals.

Wards

Use historical ward population and built-up imagery to distribute population inside cities.

Pincodes

Summarize town, village and ward estimates to pincode level.

Income estimation model

Prosperity anchors 2011 income at micro level. GDP + local signals extend it to 2030.

Prosperity Index closely mimics per capita income and is available below district level.
District GDP is compiled from Budget / Economic Survey sources.
The latest GDP series is extended to 2030 using a fixed growth curve and a recent-growth fit.
The 2011 distribution is not frozen; growth paths change by district, town, village and ward.

Prosperity Index vs per capita income — Prosperity Index supports a strong 2011 income anchor.

Turning district growth into local growth

District averages hide local momentum. The model separates rural and urban growth and then distributes the urban component using local growth signals.

Urban-rural split

For each state and year, plot district urbanization vs GDP growth. Intercept gives rural growth; slope gives urban growth minus rural growth.

Town growth

Use each town’s bank-credit growth over the last three years to apportion the urban-minus-rural growth component.

Village growth

Apply rural growth consistently across villages within the district framework.

Ward income

Use VIIRS only where town GDP and VIIRS track strongly enough; do not force weak nightlight fits.

District GDP fixed growth curve — District GDP is extended to 2030 with disciplined short-horizon growth curves.

VIIRS nightlight vs GDP — VIIRS is used for ward allocation only when the GDP relationship is strong.

What this unlocks

One India-wide micro-market view for planning, comparison and commercial decision-making.

Compare

Every local market on one scale.

Rank

Income, growth and opportunity by geography.

Allocate

Resources with spatial precision.

Overlay sales

Reveal territory potential, distributor performance and product-mix patterns.

The output is a consistent India-wide picture from state and district down to towns, villages, wards and pincodes.

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