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Multidimensional Poverty Index: Performance of Districts

Dataset Overview

This dataset captures the multidimensional poverty index, the percentage of persons in multidimensional poverty and the intensity of poverty at the district level. As the values are based on the NFHS surveys, the survey year and number are also available in the dataset. Note: A higher MPI value indicates poorer performance and a lower MPI value indicates better performance.

Organisation

NITI Aayog - National Institution for Transforming India

Sectors

Census and Surveys,

Social Development

Update Frequency

Quadrennial

Granularity

Yearly, States

Time Saved

5 hours

Number of Rows

1418

Number of Columns

11

Sources

Multidimensional Poverty Index (MPI): A Progress Review 2023

Time Period

2015-16, 2019-21

Units

headcount_ratio and intensity in Percentage and mpi in Absolute Numbers

Last Updated

September, 2025

Related Datasets

Human Development Index - Master Data: Year- and Country-wise Human, Gender, and Poverty Indexes, along with other components, of the Global Countries since 1990

Organisation

Ministry of Statistics and Programme Implementation

Time Period

1990 to 2023

Multidimensional Poverty Index: Performance of States

Organisation

NITI Aayog - National Institution for Transforming India

Time Period

2015-16, 2019-21

Year and State wise Population Estimates - Multi-dimensional Poverty Index(MPI)

Organisation

Reserve Bank of India

Time Period

2015-16, 2019-21

Data Preview

fiscal_yearstatedistrict_as_per_sourcedistrict_as_per_lgddistrict_lgd_codesurveyheadcount_ratiointensitympiunitnote
2019-21MaharashtraAhmednagarAhilyanagar466NFHS-57.1937.210.027headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21Uttar PradeshJyotiba Phule Nagar (Amroha)Amroha154NFHS-521.1145.470.096headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21Uttar PradeshFaizabad (Ayodhya)Ayodhya140NFHS-517.7943.910.078headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21KarnatakaBellary (Ballari)Ballari528NFHS-512.2242.660.052headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21ChhattisgarhBaloda BazarBalod646NFHS-515.6142.60.066headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21MaharashtraBid (Beed)Beed470NFHS-513.0639.350.051headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21KarnatakaBangalore Rural (Bengaluru Rural )Bengaluru Rural526NFHS-50.9936.710.004headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21OdishaBaudh (Boudh)Boudh349NFHS-516.2741.880.068headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21Jammu and KashmirBadgam (Budgam)Budgam2NFHS-55.238.990.02headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21KarnatakaChamarajanagaraChamarajanagar531NFHS-55.1540.830.021headcount_ratio and intensity in Percentage and mpi in Absolute Numbers

Metadata

NameNumber of Distinct ValuesNumber of Unique ValuesTypeCount
fiscal_year20Text1418
state360Text1418
district_as_per_source7040Text1418
district_as_per_lgd7000Text1418
district_lgd_code6970Number1418
survey20Text1418
headcount_ratio1149978Number1347
intensity852509Number1345
mpi29184Number1347
unit10Text1418
note00Unsupported0

Related Datasets

Human Development Index - Master Data: Year- and Country-wise Human, Gender, and Poverty Indexes, along with other components, of the Global Countries since 1990

Organisation

Ministry of Statistics and Programme Implementation

Time Period

1990 to 2023

Multidimensional Poverty Index: Performance of States

Organisation

NITI Aayog - National Institution for Transforming India

Time Period

2015-16, 2019-21

Year and State wise Population Estimates - Multi-dimensional Poverty Index(MPI)

Organisation

Reserve Bank of India

Time Period

2015-16, 2019-21

Tags

India
SDG
MPI
+8

Citation

NITI Aayog - National Institution for Transforming India. Multidimensional Poverty Index: Performance of Districts [Data set]. Dataful. https://dataful.in/datasets/18661