Multidimensional Poverty Index: Performance of Districts
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.
Multidimensional Poverty Index: Performance of Districts
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.
Rows: 1414
Columns: 11
Time period: 2015-16, 2019-21
Last Updated: 16 September 2026
Data preview
fiscal_year
state
district_as_per_source
district_as_per_lgd
district_lgd_code
survey
headcount_ratio
intensity
mpi
unit
note
2019-21
Maharashtra
Ahmednagar
Ahilyanagar
466
NFHS-5
7.19
37.21
0.027
headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21
Uttar Pradesh
Jyotiba Phule Nagar (Amroha)
Amroha
154
NFHS-5
21.11
45.47
0.096
headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21
Uttar Pradesh
Faizabad (Ayodhya)
Ayodhya
140
NFHS-5
17.79
43.91
0.078
headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21
Karnataka
Bellary (Ballari)
Ballari
528
NFHS-5
12.22
42.66
0.052
headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21
Chhattisgarh
Baloda Bazar
Balodabazar-Bhatapara
644
NFHS-5
15.61
42.6
0.066
headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21
Maharashtra
Bid (Beed)
Beed
470
NFHS-5
13.06
39.35
0.051
headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21
Karnataka
Bangalore Rural (Bengaluru Rural )
Bengaluru Rural
526
NFHS-5
0.99
36.71
0.004
headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21
Odisha
Baudh (Boudh)
Boudh
349
NFHS-5
16.27
41.88
0.068
headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21
Jammu and Kashmir
Badgam (Budgam)
Budgam
2
NFHS-5
5.2
38.99
0.02
headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
2019-21
Karnataka
Chamarajanagara
Chamarajanagar
531
NFHS-5
5.15
40.83
0.021
headcount_ratio and intensity in Percentage and mpi in Absolute Numbers
The fiscal year or survey reference period to which the poverty estimates pertain.
state
String
36
1414
The Indian state or union territory in which the district is located.
district_as_per_source
String
704
1414
Name of the district exactly as recorded in the original source survey data, before standardization.
district_as_per_lgd
String
702
1408
District name standardized to the official Local Government Directory (LGD) nomenclature.
district_lgd_code
Int64
704
1408
Unique numeric identifier for the district as assigned in the Local Government Directory (LGD).
survey
String
2
1414
The national household survey round from which the poverty estimates are derived, such as the National Family Health Survey (NFHS).
headcount_ratio
Float64
1150
1347
Share of the district's population identified as multidimensionally poor, expressed as a percentage.
intensity
Float64
853
1345
Average share of weighted deprivations experienced by the multidimensionally poor, expressed as a percentage.
mpi
Float64
292
1347
Multidimensional Poverty Index value, combining the incidence and intensity of poverty into a single composite measure.
unit
String
1
1414
Units of measurement for the reported indicators: headcount ratio and intensity in percentage, and MPI in absolute numbers.
note
String
1
0
Optional remarks or clarifications providing additional context about the data.
Citation
NITI Aayog - National Institution for Transforming India. (2026). Multidimensional Poverty Index: Performance of Districts [Data set]. Dataful. https://dataful.in/datasets/18661
