Move from all-India context to district-level market comparison while keeping prosperity, population and per-capita-income measures consistent.
Compare 2025 population, per-capita income and structural affluence across districts throughout India.
Use one common district framework to compare market size, purchasing-power context and prosperity, then move into detailed state views for local prioritisation.
How are the 2025 population and per-capita-income estimates calculated and checked?
Methodology & ValidationA common district framework.
Rank districts across states using population, prosperity and estimated per-capita income without changing the unit of analysis.
Population + per-capita-income estimates.
Work with annually updated district market size and income estimates rather than relying only on decade-old Census conditions.
Find strong and underpenetrated districts.
Compare branches, dealers, outlets, customers or sales with district market potential to identify where the next expansion effort should go.
Comparing the same district geography across 2012, 2021, 2025 and a 2030 projection makes the progression in local income bands immediately visible. The maps below use cropped visual panels for a cleaner website view; the original uploaded images retain the full income-band tables.
Districts in the ₹5 lakh+ band rise from 0 in 2012 to 5 in 2021, 37 in 2025 and 120 in the 2030 projection. The geographic spread of green districts becomes progressively broader across the country.
₹5 lakh+ districts increase from 0 in 2012 to 4 in 2025 and 14 in the 2030 projection. The south and central parts of the state show a clear broadening of higher-income districts.
Open Karnataka Page
₹5 lakh+ districts move from 0 in 2012 to 2 in 2025 and 12 in the 2030 projection. The higher-income footprint expands substantially beyond the strongest western districts.
Open Maharashtra PageDistrict-level analysis provides a practical pan-India framework for marketing, expansion, distribution and network planning.
Which districts are the most prosperous? How quickly is purchasing power changing? Where are the strongest prospective markets? Strategist brings population, prosperity and per-capita-income context together at district level so these questions can be compared consistently across India.
Strategist’s Prosperity Index makes pan-India variation in structural affluence visible at district level. The index is derived from household asset ownership and the relative penetration of those assets.
District maps are geo-referenced and maintained within a consistent pan-India geographic framework for comparison and mapping.
India missed its regular census in 2021, making the latest available census data more than a decade old (from 2011). Even the standard ten-year gap between censuses is too long given how rapidly the country is changing. To bridge this gap, we have developed predictive models using historical census data, yearly built-up area trends since 1991, and school enrollment figures from 2012 onward. This allows us to estimate annual district populations.
We have also created a model to predict per capita income by using district-level GDP data from 2012 onward, local bank credit growth trends since 2005, and monthly nightlight indices since 2012 derived from VIIRS nightlight imagery. These models support annual district-level per-capita-income estimates.
Our models provide detailed annual estimates of population and per capita income from 2012 onward. Estimates for 2025 are now ready, with updates provided each year. Subscribe today for continuous access to the latest insights.
Strategist’s Prosperity Index is derived from household ownership of assets and average penetration level of these assets. Using household asset-penetration data from the Census and a consistent geographic framework, these asset-ownership measures are aggregated and compared at district level.
Our models generate annual population and per capita income estimates starting from 2012. The population model incorporates census data, built-up area trends since 1991, and recent school enrollment data. The GDP model combines district GDP data, local bank credit growth, and nightlight indices from satellite imagery to deliver accurate and timely insights.
Prosperity Index uses penetration of following assets in households:
Weightage for each asset is (100/national level household penetration of of asset) i.e. if asset penetration is 20% then weightage for it is 5 while if asset penetration is 100% then weightage for it is 1.
Prosperity_index is the sum of all above 10 assets multiplied by their weightage factor.
Districts have been segregated into ten classes using a clustering algorithm. Table below shows asset penetration rates increasing consistently as prosperity increases. This can be used for Pareto 80-20 marketing i.e. target 80% market by only covering 20% areas. One can also decide market segments for effective targeting e.g. microfinance ideal target is people just above sustenance but not effectively covered by banking.
| Prosperity Class | No of Districts | % Households | Prosperity Range | % Car Ownership | % Car Market | % Bike Ownership | % Bike Market | % TV Ownership | % TV Market | % Comp. Ownership | % Comp. Market |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 95 | 12.18 | 0 - 438 | 1.23 | 3.19 | 7.17 | 4.14 | 14.06 | 3.62 | 5.2 | 6.66 |
| 2 | 128 | 17.63 | 439 - 600 | 1.86 | 7.01 | 11.42 | 9.55 | 23.18 | 8.63 | 5.63 | 10.43 |
| 3 | 104 | 13.96 | 601 - 770 | 2.46 | 7.33 | 16.57 | 10.97 | 35.14 | 10.36 | 6.01 | 8.82 |
| 4 | 108 | 18.38 | 771 - 962 | 2.79 | 10.93 | 19.44 | 16.95 | 52.31 | 20.3 | 6.8 | 13.14 |
| 5 | 66 | 10.93 | 962 - 1165 | 4.38 | 10.22 | 24.62 | 12.77 | 62.31 | 14.39 | 8.96 | 10.29 |
| 6 | 46 | 7.73 | 1166 - 1393 | 6.27 | 10.33 | 32.1 | 11.76 | 66.3 | 10.82 | 10.58 | 8.59 |
| 7 | 38 | 5.16 | 1394 - 1706 | 8.99 | 9.89 | 34.73 | 8.49 | 71.17 | 7.75 | 12.62 | 6.84 |
| 8 | 27 | 7.18 | 1707 - 2101 | 10.34 | 15.85 | 36.46 | 12.42 | 78.48 | 11.9 | 19.3 | 14.56 |
| 9 | 11 | 3.32 | 2102 - 2560 | 14.56 | 10.33 | 35.33 | 5.57 | 82.25 | 5.77 | 25.58 | 8.94 |
| 10 | 17 | 3.53 | 2561 - 3737 | 19.8 | 14.92 | 44.02 | 7.37 | 86.54 | 6.45 | 31.65 | 11.74 |
Based on the above methodology we have calculated prosperity index for districts of entire India. Chart below shows districtwise intra-state prosperity variation for top ten states.
Select a state:
Select year:
Based on the above methodology we have calculated per capita income for districts of entire India. Chart below shows districtwise intra-state per capita income variation for top ten states.
The maps above let you switch between states and compare district-level prosperity and per-capita income directly on this page. For a dedicated state view with focused district maps, open any of the state pages below.
