Inclusion intelligence
Equity & Polarity Lens
Cut the state by religion, caste and community, economic strata, political affinity, education, crime and opportunity — then test whether delivery is reaching every group equally.
All figures here are aggregate, district-level, modelled estimates anchored to rough public proportions — placeholders for Census, SECC, NCRB and NFHS feeds. The exception is political affinity, which is computed from the actual 2023 Assembly results. The lens exists to find who is being left behind. It holds no individual-level data and grievance tickets record no religion or caste.
Map cuts
Districts
Cross-cut
against
What moves with delivery
Correlation of each social measure with the composite delivery score across 33 districts. Correlation is not causation.
| Literacy rate Education | +0.93 |
| Households below poverty line Economic strata | -0.92 |
| Female literacy rate Education | +0.92 |
| Scheduled Tribe share Caste & community | -0.88 |
| OBC share Caste & community | +0.88 |
| Middle-income households Economic strata | +0.84 |
| Skill-training seats per 1,000 youth Opportunity & innovation | +0.83 |
| General category share Caste & community | +0.82 |
| Internet users Opportunity & innovation | +0.81 |
| Other faiths / tribal religions share Religion | -0.8 |
| Opportunity index Opportunity & innovation | +0.78 |
| Graduates among adults Education | +0.77 |
Composition
Religion
All 33 districts
Caste & community
All 33 districts
Economic strata
All 33 districts
Political affinity
All 33 districts
Polarity indices
| District | Community diversity | Religious diversity | Political competitiveness | Winning margin | Gender literacy gap | BPL % | Crime / lakh | Delivery score |
|---|---|---|---|---|---|---|---|---|
| Sakti | 70.5 | 9.7 | 73.8 | 10.5 | 15.8 | 27.9 | 177 | 74.3 |
| Sarangarh-Bilaigarh | 70.5 | 7.8 | 71.8 | 11.3 | 15.3 | 31.5 | 193 | 70.9 |
| Raigarh | 70.1 | 9.8 | 67.2 | 13.1 | 9.1 | 30.9 | 290 | 80.7 |
| Bilaspur | 69.3 | 12.8 | 73.5 | 10.6 | 10.1 | 18.6 | 367 | 85.0 |
| Kabirdham | 68.2 | 8.3 | 68.0 | 12.8 | 8.9 | 32.2 | 198 | 73.1 |
| Gariaband | 67.6 | 8.0 | 91.8 | 3.3 | 16.0 | 34.5 | 209 | 64.7 |
| Mungeli | 67.5 | 4.9 | 55.0 | 18.0 | 10.5 | 24.1 | 202 | 78.8 |
| Korba | 67.3 | 9.8 | 75.8 | 9.7 | 12.5 | 31.2 | 330 | 77.0 |
| Dhamtari | 67.0 | 9.9 | 88.8 | 4.5 | 14.5 | 28.4 | 200 | 73.3 |
| Mahasamund | 67.0 | 8.5 | 58.8 | 16.5 | 13.1 | 28.0 | 181 | 69.5 |
| Rajnandgaon | 66.9 | 7.2 | 66.8 | 13.3 | 10.0 | 23.0 | 294 | 76.2 |
| Khairagarh-Chhuikhadan-Gandai | 66.4 | 7.8 | 92.2 | 3.1 | 16.6 | 31.1 | 226 | 72.7 |
| Manendragarh-Chirmiri-Bharatpur | 66.2 | 12.9 | 81.0 | 7.6 | 14.5 | 36.5 | 234 | 73.5 |
| Janjgir-Champa | 66.1 | 5.7 | 76.2 | 9.5 | 16.6 | 23.4 | 210 | 79.7 |
| Balod | 65.1 | 8.2 | 70.2 | 11.9 | 15.0 | 33.7 | 229 | 73.2 |
| Surajpur | 64.7 | 17.6 | 50.2 | 19.9 | 8.7 | 40.2 | 197 | 68.8 |
| Baloda Bazar-Bhatapara | 64.4 | 7.0 | 78.8 | 8.5 | 11.5 | 25.8 | 206 | 74.2 |
| Koriya | 64.3 | 16.5 | 54.2 | 18.3 | 14.8 | 37.0 | 214 | 69.3 |
| Bemetara | 60.9 | 5.9 | 87.8 | 4.9 | 13.6 | 27.7 | 225 | 81.3 |
| Kanker | 59.0 | 10.2 | 70.5 | 11.8 | 16.5 | 39.9 | 172 | 61.3 |
| Surguja | 58.9 | 13.5 | 79.2 | 8.3 | 12.8 | 39.8 | 229 | 75.8 |
| Raipur | 58.8 | 13.0 | 47.0 | 21.2 | 8.5 | 10.0 | 413 | 94.6 |
| Gaurela-Pendra-Marwahi | 58.1 | 12.4 | 84.2 | 6.3 | 10.9 | 39.7 | 188 | 64.3 |
| Durg | 57.4 | 11.8 | 61.5 | 15.4 | 8.4 | 13.2 | 365 | 90.4 |
| Jashpur | 55.4 | 40.9 | 78.5 | 8.6 | 9.8 | 46.7 | 184 | 64.2 |
| Balrampur-Ramanujganj | 53.8 | 13.3 | 75.0 | 10.0 | 16.2 | 41.9 | 160 | 66.8 |
| Mohla-Manpur-Ambagarh Chowki | 53.8 | 11.3 | 40.8 | 23.7 | 13.5 | 41.6 | 190 | 60.3 |
| Bastar | 53.2 | 10.2 | 76.2 | 9.5 | 9.7 | 43.0 | 258 | 62.7 |
| Kondagaon | 45.6 | 19.6 | 81.0 | 7.6 | 9.9 | 45.1 | 157 | 56.4 |
| Dantewada | 45.5 | 16.1 | 68.8 | 12.5 | 12.0 | 45.1 | 192 | 52.9 |
| Narayanpur | 38.5 | 19.5 | 66.2 | 13.5 | 15.7 | 51.0 | 180 | 49.5 |
| Bijapur | 34.3 | 16.1 | 91.8 | 3.3 | 12.4 | 50.1 | 162 | 45.6 |
| Sukma | 29.6 | 19.1 | 95.2 | 1.9 | 15.2 | 51.6 | 207 | 48.0 |
Diversity index = 1 − Σ(share²), scaled 0–100: higher means population is spread across more groups. Political competitiveness = 100 − 2.5 × average winning margin (actual 2023 results).
Simulated demo data — district figures are modelled for demonstration; election results, portfolios, schemes and budget size are from public sources. Admin