World Bank · Other
Multidimensional poverty headcount ratio (UNDP & OPHI) (% of population)
The multidimensional poverty headcount ratio (UNDP & OPHI) is the percentage of a population living in poverty according to the multidimensional poverty index of the UNDP and OPHI. The index includes three dimensions -- health, education, and living standards. Reported as: UNDP & OPHI.
- Coverage
- 109 of 238 countries
- Latest data
- 2023
- Series
- 109
- Unit
- percent
- Licence
- CC BY 4.0
- Retrieved
- 2026-11-05
- Indicator
- multidimensional-poverty-headcount-ratio
- Interva ID
- worldbank-multidimensional-poverty-headcount-ratio
Recency
current
data to 2023; catalog to 2025
Provenance
2 steps
as the publisher declares it
Versions
1
catalog snapshots
Citation
BibTeX + CSL
versioned permalink
Quality profile
This profile describes what Interva can measure in the data. It does not claim the dataset is accurate, complete, or suitable for a particular use.
Recency
100%Latest observation is 2023; the catalog broadly reports to 2025, so this data is 2 year(s) behind (current).
Method: Compares the dataset's latest non-projected period with the year most datasets in the catalog end in. Up to 2 years behind is current — annual data is routinely published a year or two late — and more than 5 is stale. Measured from the data, not from when Interva last crawled it.
Temporal completeness
100%0 of 109 series skip at least one year inside their own span; the median series reports 100% of its years.
Method: Per series, years present divided by years from its first to its last observation; the median across series is reported. Annual periods are assumed, which holds for every series in the catalog today.
Geographic coverage
MeasuredCovers 109 of the 238 countries in the catalog.
Method: Counts distinct geographies with at least one observation. Not scored: a regional dataset covering its region completely is not deficient for omitting the rest of the world.
History depth
MeasuredThe median series has 1 observations; the earliest begins in 2013.
Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.
Revisions
MeasuredNo observation has been restated in any vintage Interva has recorded.
Method: Counts values the publisher changed between Interva's publishes. Not scored: revising estimates is ordinary and often a sign of care, and the count is here so a reader citing a figure knows whether it moves.
Schema conformity
Not assessedNo declared schema or validation rules are attached to this dataset yet.
Validity
Not assessedNo field-level validation rules are attached to this dataset yet.
Consistency
Not assessedCross-series consistency rules are not defined yet. The obvious first one — whether two publishers measuring one concept agree within a stated tolerance — is a candidate.
2 scored from the data, 3 described without a score, 3 not assessed. Pipeline integrity: all 5 checks pass. Assessed 2026-11-07.
By country
Multidimensional poverty headcount ratio (UNDP & OPHI) (% of population) for each of the 109 countries it covers, with the full history.
- Afghanistan 2022–2022
- Albania 2017–2017
- Algeria 2018–2018
- Angola 2015–2015
- Argentina 2019–2019
- Armenia 2015–2015
- Azerbaijan 2023–2023
- Bangladesh 2022–2022
- Belize 2015–2015
- Benin 2021–2021
- Bhutan 2022–2022
- Bolivia, Plurinational State of 2023–2023
- Botswana 2015–2015
- Brazil 2015–2015
- Burkina Faso 2021–2021
- Burundi 2016–2016
- Cambodia 2021–2021
- Cameroon 2018–2018
- Central African Republic 2018–2018
- Chad 2019–2019
- China 2014–2014
- Colombia 2015–2015
- Comoros 2022–2022
- Congo 2014–2014
- Congo, The Democratic Republic of the 2017–2017
- Costa Rica 2018–2018
- Côte d'Ivoire 2021–2021
- Cuba 2019–2019
- Dominican Republic 2019–2019
- Ecuador 2018–2018
- Egypt 2014–2014
- El Salvador 2014–2014
- Eswatini 2021–2021
- Ethiopia 2019–2019
- Fiji 2021–2021
- Gabon 2019–2019
- Gambia 2019–2019
- Georgia 2018–2018
- Ghana 2022–2022
- Guatemala 2014–2014
- Guinea 2018–2018
- Guinea-Bissau 2018–2018
- Guyana 2019–2019
- Haiti 2016–2016
- Honduras 2019–2019
- India 2019–2019
- Indonesia 2017–2017
- Iraq 2018–2018
- Jamaica 2018–2018
- Jordan 2023–2023
- Kazakhstan 2015–2015
- Kenya 2022–2022
- Kiribati 2018–2018
- Kyrgyzstan 2023–2023
- Lao People's Democratic Republic 2023–2023
- Lesotho 2023–2023
- Liberia 2019–2019
- Libya 2014–2014
- Madagascar 2021–2021
- Malawi 2019–2019
- Maldives 2016–2016
- Mali 2018–2018
- Mauritania 2019–2019
- Mexico 2023–2023
- Mongolia 2018–2018
- Montenegro 2018–2018
- Morocco 2017–2017
- Mozambique 2022–2022
- Myanmar 2015–2015
- Namibia 2013–2013
- Nauru 2023–2023
- Nepal 2022–2022
- Niger 2021–2021
- Nigeria 2021–2021
- North Macedonia 2018–2018
- Pakistan 2017–2017
- Palestine, State of 2019–2019
- Papua New Guinea 2016–2016
- Paraguay 2016–2016
- Peru 2023–2023
- Philippines 2022–2022
- Rwanda 2019–2019
- Samoa 2019–2019
- Sao Tome and Principe 2019–2019
- Senegal 2023–2023
- Serbia 2019–2019
- Seychelles 2019–2019
- Sierra Leone 2019–2019
- South Africa 2016–2016
- Sri Lanka 2016–2016
- Sudan 2014–2014
- Suriname 2018–2018
- Tajikistan 2017–2017
- Tanzania, United Republic of 2022–2022
- Thailand 2022–2022
- Timor-Leste 2016–2016
- Togo 2017–2017
- Tonga 2019–2019
- Trinidad and Tobago 2022–2022
- Tunisia 2023–2023
- Turkmenistan 2019–2019
- Tuvalu 2019–2019
- Uganda 2016–2016
- Uzbekistan 2021–2021
- Vanuatu 2023–2023
- Viet Nam 2020–2020
- Yemen 2022–2022
- Zambia 2018–2018
- Zimbabwe 2019–2019
Latest observations
| Country | Period | Value | Unit |
|---|---|---|---|
| Azerbaijan | 2023 | 0.20 | percent |
| Bolivia, Plurinational State of | 2023 | 5.80 | percent |
| Jordan | 2023 | 0.80 | percent |
| Kyrgyzstan | 2023 | 1 | percent |
| Lao People's Democratic Republic | 2023 | 17.80 | percent |
| Lesotho | 2023 | 25 | percent |
| Mexico | 2023 | 5.30 | percent |
| Nauru | 2023 | 6.80 | percent |
| Peru | 2023 | 5.60 | percent |
| Senegal | 2023 | 45.10 | percent |
Provenance
Who produced these figures, as World Bank declares it — not inferred, and each line says which published field it was read from.
Produced by
Not named — the declaration is kept verbatim
Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). ‘The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note’, OPHI MPI Methodological Note 61, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford.url: https://ophi.org.uk/publications/MN-61, uri: https://ophi.org.uk/publications/MN-61, publisher: Oxford Poverty and Human Development Initiative (OPHI)
declared by worldbank in sourceOrganization
Read from
World Bank
World Development Indicators
declared by worldbank in source
Versions
A vintage is a dated publish of the catalog. The current entry is a catalog snapshot; checksums are not recorded yet and are shown as such.
- CurrentCurrent catalog snapshotchecksum not recorded
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Citation
Version: catalog snapshot 2026-11-05. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.
World Bank (2026). Multidimensional poverty headcount ratio (UNDP & OPHI) (% of population). Interva. https://interva.co/dataset/worldbank-multidimensional-poverty-headcount-ratio (accessed 2026-11-07). catalog snapshot 2026-11-05.
@misc{interva-worldbank-multidimensional-poverty-headcount-ratio,
title = {Multidimensional poverty headcount ratio (UNDP \& OPHI) (\% of population)},
author = {World Bank},
year = {2026},
howpublished = {\url{https://interva.co/dataset/worldbank-multidimensional-poverty-headcount-ratio}},
note = {Interva dataset worldbank-multidimensional-poverty-headcount-ratio; catalog snapshot 2026-11-05},
urldate = {2026-11-07}
}DOI: not assigned (not assigned). The permalink is versioned by catalog snapshot; a stable dataset DOI is a later step.
API access
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