Indian states and union territories ranked by multidimensional poverty intensity; %, 2019–21.
This comparison ranks multidimensional poverty intensity across 36 Indian states and union-territory reporting areas in 2019–21. Intensity is the average share of weighted deprivations experienced by people classified as multidimensionally poor. Meghalaya ranked highest at 48.01%, narrowly ahead of Chandigarh at 47.41%. Madhya Pradesh ranked ninth at 43.70%, so close values should not be read as large substantive gaps.
| Rank | Entry | Value | Period |
|---|---|---|---|
| 1 | Meghalaya | 48.01% | 2019–21 |
| 2 | Chandigarh | 47.41% | 2019–21 |
| 3 | Bihar | 47.40% | 2019–21 |
| 4 | Mizoram | 45.62% | 2019–21 |
| 5 | Jharkhand | 45.59% | 2019–21 |
| 6 | Uttar Pradesh | 44.83% | 2019–21 |
| 7 | Odisha | 44.50% | 2019–21 |
| 8 | Assam | 44.41% | 2019–21 |
| 9 | Madhya Pradesh | 43.70% | 2019–21 |
Source 1: Handbook of Statistics on Indian States 2024–25
Publisher: Reserve Bank of India
Dataset/table: State-wise Poverty Estimates — Multidimensional Poverty Index
Units: mixed poverty metrics
Date checked: 2026-07-18
Evidence: Provides the 2019–21 intensity of multidimensional poverty for the complete subnational reporting universe.
The multidimensional poverty headcount is the share of people classified as poor across several overlapping deprivations. Intensity is the average weighted deprivation among people classified as poor, while the index combines headcount and intensity.
The multidimensional-poverty values were compared across Indian states and union territories after excluding the national aggregate and observations without the required period. Rankings use the published modelled estimates; change pages match identical reporting areas across both survey periods.
Every value uses the same official multidimensional-poverty framework, reporting-area definitions and stated survey period or matched pair of periods.
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