Key Takeaways
- Multidimensional poverty headcount ratio (MPI HCR) nationally 11.28% in 2019-21 NFHS-5 based
- MPI intensity of deprivation 47.14% average for poor households 2019-21
- 13.5 crore people exited multidimensional poverty 2005-06 to 2019-21
- According to the Household Consumption Expenditure Survey (HCES) 2022-23, the national poverty rate using the Tendulkar methodology declined to 4.5% from 21.9% in 2011-12
- The World Bank estimates India's extreme poverty rate (below $2.15 PPP/day) at 2.3% in 2022, down from 16.2% in 2011
- NITI Aayog's Multidimensional Poverty Index (MPI) report states 24.82 crore people escaped multidimensional poverty between 2013-14 and 2022-23
- Rural poverty rate nationally 25.7% in 2011-12 dropped to 7.2% in 2022-23 per HCES
- Urban poverty rate 13.7% in 2011-12 now 4.6% Tendulkar 2022-23
- Rural MPI incidence 15.78% vs urban 4.59% in 2019-21 NITI
- Bihar has the highest state poverty rate at 33.76% using Tendulkar methodology in 2022-23 estimates
- Jharkhand's multidimensional poverty incidence at 28.81% in 2019-21
- Uttar Pradesh MPI HCR 22.93% in 2022-23, down from 37.79% in 2013-14
- National poverty rate declined from 37.2% in 2004-05 to 21.9% in 2011-12 Tendulkar line
- From 2011-12 to 2022-23, poverty halved again to 4.5% per HCES adjusted
- MPI HCR from 55% in 2005-06 to 11.28% in 2019-21, 24.82 crore exited
India’s multidimensional poverty fell to 11.28% in 2019 to 21, with 13.5 crore people escaping since 2005.
Multidimensional
Multidimensional Interpretation
National Level
National Level Interpretation
Rural Urban
Rural Urban Interpretation
State-wise
State-wise Interpretation
Trends
Trends Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Min-ji Park. (2026, February 13). India Poverty Statistics. Gitnux. https://gitnux.org/india-poverty-statistics
Min-ji Park. "India Poverty Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/india-poverty-statistics.
Min-ji Park. 2026. "India Poverty Statistics." Gitnux. https://gitnux.org/india-poverty-statistics.
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