Pincodewise Prosperity Index
Provides pan-India variation in affluence at pincode level
Pincode is one of the most popular geographical entities in day to day business. Most enterprises have their customers tagged with an address pincode. They would like to benchmark their customer density against demographic and prosperity data parameters. Strategist's Pincode Prosperity Index is ideal for such analysis.
Which are the most rich or wealthy pincodes of the country? How fast they are growing? Who are the prospective customers? These are basic questions that every marketer wants to answer. Until now, most of the analyses used to be limited to state, district or town level. Strategist is now providing dataset to answer these questions at next level of granularity i.e. pincode. Pincode maps with attributes as listed below are available in most of the industry standard formats.
Customer databases can now easily be linked with a pincode and will reveal a spatial pattern in current businesses, pinpointing growth areas. Current revenues can be compared against demographic and prosperity data. This allows enterprises to gain insight, derive business trends and formulate strategy. For eg. hotspots similar to the high revenue / sales pincodes can be located across the country.
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 accurately estimate annual populations for states, districts, towns, villages, wards, and pincodes.
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 advanced models enable precise annual estimates of GDP and per capita income at multiple geographic levels, including states, districts, towns, villages, wards and pincodes.
Our models provide detailed annual estimates of population and per capita income from 2012 onward. Estimates for 2021 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. Household asset penetration numbers at city, village and ward-level are made available by the census bureau. Using landuse maps and city/village/ward/pincode boundaries these asset ownership numbers are correlated to pincode.
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 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.
Pincodes 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 easily decide target market segments for effective marketing e.g. eg. for microfinance operations, the ideal target segment is pincodes, just above sustenance but not effectively covered by banking.
| Prosperity Class | No of Pincodes | % Households | Prosperity Range | % Car Ownership | % Car Market | % Bike Ownership | % Bike Market | % TV Ownership | % TV Market | % Comp. Ownership | % Comp. Market |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2695 | 18.45 | 0 - 417 | 1.03 | 4.03 | 6.35 | 5.54 | 12.22 | 4.74 | 4.48 | 8.67 |
| 2 | 3711 | 19.79 | 418 - 599 | 1.64 | 6.90 | 11.38 | 10.65 | 25.77 | 10.73 | 4.94 | 10.25 |
| 3 | 3581 | 15.78 | 600 - 776 | 2.21 | 7.40 | 16.41 | 12.25 | 42.83 | 14.21 | 5.36 | 8.86 |
| 4 | 2560 | 10.70 | 777 - 974 | 3.03 | 6.90 | 22.11 | 11.19 | 57.53 | 12.95 | 6.19 | 6.94 |
| 5 | 2067 | 8.50 | 975 - 1216 | 4.42 | 7.99 | 26.33 | 10.59 | 66.22 | 11.84 | 8.20 | 7.30 |
| 6 | 1689 | 8.31 | 1217 - 1539 | 6.23 | 10.99 | 32.75 | 12.86 | 74.18 | 12.96 | 11.37 | 9.89 |
| 7 | 1508 | 8.04 | 1540 - 1997 | 8.59 | 14.67 | 37.47 | 14.26 | 80.31 | 13.59 | 16.15 | 13.61 |
| 8 | 892 | 5.19 | 1998 - 2717 | 12.78 | 14.08 | 42.58 | 10.44 | 84.78 | 9.25 | 24.17 | 13.14 |
| 9 | 678 | 4.11 | 2718 - 3840 | 21.21 | 18.53 | 48.46 | 9.43 | 87.91 | 7.61 | 35.94 | 15.50 |
| 10 | 219 | 1.12 | 3854 - 8066 | 35.68 | 8.51 | 52.74 | 2.80 | 90.40 | 2.13 | 49.59 | 5.83 |
Based on the above methodology we have calculated prosperity index for pincodes of entire India. Chart below shows pincodewise intra-city prosperity variation for top ten cities.
Based on the above methodology we have calculated per capita income for pincodes of entire India. Chart below shows pincodewise intra-city per capita income variation for top ten cities.
