Latest available · compiled 2021
Global Multidimensional Poverty Index, 2021 compilation
Each country’s newest reading as of 2021; every row carries its own year · stored as published, never rewritten
Global Multidimensional Poverty Index, 2021 compilation covers 109 countries on 3 measures. Niger is highest, at 0.60128; Serbia is lowest, at 0.00043. The middle country reads 0.07264. Against the 2020 compilation, 107 values changed (45 up, 62 down), 2 countries joined. 4 readings are more than ten years older than the file and are listed but not compared.
Global Multidimensional Poverty Index · Latest available · compiled 2021
HighestNiger
0.60128LowestSerbia
0.00043Shaded by value in five groups of equal size, darkest at the lowest end.
01Position · derived
The table
Every country and every column of Global Multidimensional Poverty Index, 2021 compilation, as published. OPHI ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 109 countries · select a heading to sort
| derived | |||||
|---|---|---|---|---|---|
| 1 | NERWestern Africa · 2012 reading | 0.60128 | 90.971 | 66.096 | 2012 |
| 2 | SSDEastern Africa · 2010 reading, too old to compare | 0.58016 | 91.863 | 63.155 | 2010 |
| 3 | BFAWestern Africa · 2010 reading, too old to compare | 0.52342 | 84.192 | 62.170 | 2010 |
| 4 | TCDMiddle Africa · 2019 reading | 0.51701 | 84.175 | 61.421 | 2019 |
| 5 | CAFMiddle Africa · 2019 reading | 0.46135 | 80.414 | 57.371 | 2018-2019 |
| 6 | MOZEastern Africa · 2011 reading | 0.41696 | 73.137 | 57.011 | 2011 |
| 7 | BDIEastern Africa · 2017 reading | 0.40886 | 75.097 | 54.444 | 2016-2017 |
| 8 | MDGEastern Africa · 2018 reading | 0.38397 | 69.078 | 55.585 | 2018 |
| 9 | MLIWestern Africa · 2018 reading | 0.37606 | 68.332 | 55.034 | 2018 |
| 10 | GINWestern Africa · 2018 reading | 0.37322 | 66.211 | 56.368 | 2018 |
| 11 | BENWestern Africa · 2018 reading | 0.36767 | 66.799 | 55.042 | 2017-2018 |
| 12 | ETHEastern Africa · 2019 reading | 0.36660 | 68.737 | 53.334 | 2019 |
| 13 | GNBWestern Africa · 2019 reading | 0.34069 | 64.396 | 52.905 | 2018-2019 |
| 14 | CODMiddle Africa · 2018 reading | 0.33119 | 64.518 | 51.333 | 2017-2018 |
| 15 | SLEWestern Africa · 2019 reading | 0.29290 | 59.222 | 49.458 | 2019 |
| 16 | TZAEastern Africa · 2016 reading | 0.28418 | 57.068 | 49.797 | 2015-2016 |
| 17 | AGOMiddle Africa · 2016 reading | 0.28244 | 51.104 | 55.267 | 2015-2016 |
| 18 | UGAEastern Africa · 2016 reading | 0.28103 | 57.168 | 49.158 | 2016 |
| 19 | SDNNorthern Africa · 2014 reading | 0.27944 | 52.328 | 53.401 | 2014 |
| 20 | AFGSouthern Asia · 2016 reading | 0.27172 | 55.910 | 48.600 | 2015-2016 |
| 21 | PNGMelanesia · 2018 reading | 0.26329 | 56.629 | 46.494 | 2016-2018 |
| 22 | SENWestern Africa · 2019 reading | 0.26286 | 50.832 | 51.712 | 2019 |
| 23 | MRTWestern Africa · 2015 reading | 0.26064 | 50.566 | 51.545 | 2015 |
| 24 | LBRWestern Africa · 2020 reading | 0.25929 | 52.323 | 49.556 | 2019-2020 |
| 25 | RWAEastern Africa · 2015 reading | 0.25860 | 54.396 | 47.539 | 2014-2015 |
| 26 | NGAWestern Africa · 2018 reading | 0.25439 | 46.417 | 54.805 | 2018 |
| 27 | MWIEastern Africa · 2016 reading | 0.25233 | 54.247 | 46.514 | 2015-2016 |
| 28 | YEMWestern Asia · 2013 reading | 0.24517 | 48.466 | 50.585 | 2013 |
| 29 | CIVWestern Africa · 2016 reading | 0.23587 | 46.067 | 51.201 | 2016 |
| 30 | CMRMiddle Africa · 2018 reading | 0.23206 | 43.592 | 53.235 | 2018 |
| 31 | ZMBEastern Africa · 2018 reading | 0.23169 | 47.906 | 48.362 | 2018 |
| 32 | TLSSouth-eastern Asia · 2016 reading | 0.22151 | 48.254 | 45.906 | 2016 |
| 33 | GMBWestern Africa · 2018 reading | 0.20364 | 41.597 | 48.955 | 2018 |
| 34 | HTICaribbean · 2017 reading | 0.19959 | 41.269 | 48.363 | 2016-2017 |
| 35 | PAKSouthern Asia · 2018 reading | 0.19825 | 38.332 | 51.718 | 2017-2018 |
| 36 | NAMSouthern Africa · 2013 reading | 0.18473 | 40.881 | 45.188 | 2013 |
| 37 | COMEastern Africa · 2012 reading | 0.18077 | 37.265 | 48.510 | 2012 |
| 38 | TGOWestern Africa · 2017 reading | 0.17962 | 37.612 | 47.755 | 2017 |
| 39 | MMRSouth-eastern Asia · 2016 reading | 0.17585 | 38.316 | 45.894 | 2015-2016 |
| 40 | BTNSouthern Asia · 2010 reading, too old to compare | 0.17486 | 37.341 | 46.829 | 2010 |
| 41 | KENEastern Africa · 2014 reading | 0.17078 | 37.477 | 45.568 | 2014 |
| 42 | KHMSouth-eastern Asia · 2014 reading | 0.17035 | 37.186 | 45.810 | 2014 |
| 43 | GTMCentral America · 2015 reading | 0.13352 | 28.882 | 46.229 | 2014-2015 |
| 44 | INDSouthern Asia · 2016 reading | 0.12265 | 27.908 | 43.949 | 2015-2016 |
| 45 | COGMiddle Africa · 2015 reading | 0.11168 | 24.267 | 46.020 | 2014-2015 |
| 46 | GHAWestern Africa · 2018 reading | 0.11122 | 24.637 | 45.143 | 2017-2018 |
| 47 | ZWEEastern Africa · 2019 reading | 0.10994 | 25.800 | 42.613 | 2019 |
| 48 | LAOSouth-eastern Asia · 2017 reading | 0.10833 | 23.072 | 46.954 | 2017 |
| 49 | BGDSouthern Asia · 2019 reading | 0.10406 | 24.641 | 42.231 | 2019 |
| 50 | HNDCentral America · 2012 reading | 0.09306 | 19.992 | 46.546 | 2011-2012 |
| 51 | LSOSouthern Africa · 2018 reading | 0.08436 | 19.605 | 43.030 | 2018 |
| 52 | SWZSouthern Africa · 2014 reading | 0.08127 | 19.214 | 42.298 | 2014 |
| 53 | KIRMicronesia · 2019 reading | 0.08016 | 19.803 | 40.478 | 2018-2019 |
| 54 | NICCentral America · 2012 reading | 0.07449 | 16.460 | 45.258 | 2011-2012 |
| 55 | NPLSouthern Asia · 2019 reading | 0.07440 | 17.505 | 42.502 | 2019 |
| 56 | BWASouthern Africa · 2016 reading | 0.07264 | 17.219 | 42.184 | 2015-2016 |
| 57 | GABMiddle Africa · 2012 reading | 0.06970 | 15.602 | 44.672 | 2012 |
| 58 | STPMiddle Africa · 2019 reading | 0.04792 | 11.712 | 40.917 | 2019 |
| 59 | BOLSouth America · 2016 reading | 0.03775 | 9.060 | 41.670 | 2016 |
| 60 | IRQWestern Asia · 2018 reading | 0.03269 | 8.635 | 37.861 | 2018 |
| 61 | SLVCentral America · 2014 reading | 0.03246 | 7.861 | 41.296 | 2014 |
| 62 | PERSouth America · 2018 reading | 0.02919 | 7.372 | 39.592 | 2018 |
| 63 | TJKCentral Asia · 2017 reading | 0.02901 | 7.445 | 38.962 | 2017 |
| 64 | SYRWestern Asia · 2009 reading, too old to compare | 0.02879 | 7.393 | 38.941 | 2009 |
| 65 | MNGEastern Asia · 2018 reading | 0.02813 | 7.258 | 38.750 | 2018 |
| 66 | MARNorthern Africa · 2018 reading | 0.02670 | 6.360 | 41.978 | 2017-2018 |
| 67 | MEXCentral America · 2016 reading | 0.02562 | 6.565 | 39.019 | 2016 |
| 68 | ZAFSouthern Africa · 2016 reading | 0.02489 | 6.257 | 39.781 | 2016 |
| 69 | PHLSouth-eastern Asia · 2017 reading | 0.02425 | 5.796 | 41.838 | 2017 |
| 70 | EGYNorthern Africa · 2014 reading | 0.01968 | 5.239 | 37.571 | 2014 |
| 71 | COLSouth America · 2016 reading | 0.01966 | 4.846 | 40.562 | 2015-2016 |
| 72 | VNMSouth-eastern Asia · 2014 reading | 0.01933 | 4.895 | 39.496 | 2013-2014 |
| 73 | PRYSouth America · 2016 reading | 0.01885 | 4.501 | 41.879 | 2016 |
| 74 | ECUSouth America · 2014 reading | 0.01825 | 4.577 | 39.879 | 2013-2014 |
| 75 | JAMCaribbean · 2014 reading | 0.01815 | 4.687 | 38.731 | 2014 |
| 76 | BLZCentral America · 2016 reading | 0.01711 | 4.304 | 39.755 | 2015-2016 |
| 77 | BRASouth America · 2015 reading | 0.01635 | 3.842 | 42.546 | 2015 |
| 78 | CHNEastern Asia · 2014 reading | 0.01607 | 3.885 | 41.356 | 2014 |
| 79 | DOMCaribbean · 2014 reading | 0.01510 | 3.880 | 38.925 | 2014 |
| 80 | IDNSouth-eastern Asia · 2017 reading | 0.01401 | 3.619 | 38.714 | 2017 |
| 81 | SURSouth America · 2018 reading | 0.01123 | 2.854 | 39.361 | 2018 |
| 82 | LKASouthern Asia · 2016 reading | 0.01118 | 2.921 | 38.294 | 2016 |
| 83 | BRBCaribbean · 2012 reading | 0.00853 | 2.491 | 34.234 | 2012 |
| 84 | BIHSouthern Europe · 2012 reading | 0.00831 | 2.190 | 37.931 | 2011-2012 |
| 85 | LBYNorthern Africa · 2014 reading | 0.00742 | 1.999 | 37.135 | 2014 |
| 86 | LCACaribbean · 2012 reading | 0.00720 | 1.921 | 37.488 | 2012 |
| 87 | GUYSouth America · 2020 reading | 0.00659 | 1.699 | 38.811 | 2019-2020 |
| 88 | DZANorthern Africa · 2019 reading | 0.00541 | 1.381 | 39.173 | 2018-2019 |
| 89 | MNESouthern Europe · 2018 reading | 0.00490 | 1.236 | 39.643 | 2018 |
| 90 | MDAEastern Europe · 2012 reading | 0.00353 | 0.944 | 37.450 | 2012 |
| 91 | TONPolynesia · 2019 reading | 0.00334 | 0.875 | 38.145 | 2019 |
| 92 | SYCEastern Africa · 2019 reading | 0.00296 | 0.866 | 34.230 | 2019 |
| 93 | TUNNorthern Africa · 2018 reading | 0.00289 | 0.791 | 36.487 | 2018 |
| 94 | ALBSouthern Europe · 2018 reading | 0.00275 | 0.704 | 39.057 | 2017-2018 |
| 95 | CUBCaribbean · 2019 reading | 0.00269 | 0.706 | 38.060 | 2019 |
| 96 | MDVSouthern Asia · 2017 reading | 0.00265 | 0.772 | 34.380 | 2016-2017 |
| 97 | TTOCaribbean · 2011 reading | 0.00242 | 0.637 | 37.984 | 2011 |
| 98 | THASouth-eastern Asia · 2019 reading | 0.00212 | 0.578 | 36.703 | 2019 |
| 99 | CRICentral America · 2018 reading | 0.00201 | 0.540 | 37.122 | 2018 |
| 100 | PSEWestern Asia · 2020 reading | 0.00198 | 0.566 | 34.973 | 2019-2020 |
| 101 | KAZCentral Asia · 2015 reading | 0.00161 | 0.453 | 35.557 | 2015 |
| 102 | JORWestern Asia · 2018 reading | 0.00153 | 0.431 | 35.388 | 2017-2018 |
| 103 | KGZCentral Asia · 2018 reading | 0.00143 | 0.393 | 36.281 | 2018 |
| 104 | MKDSouthern Europe · 2019 reading | 0.00142 | 0.372 | 38.242 | 2018-2019 |
| 105 | GEOWestern Asia · 2018 reading | 0.00124 | 0.340 | 36.592 | 2018 |
| 106 | TKMCentral Asia · 2019 reading | 0.00085 | 0.249 | 34.048 | 2019 |
| 107 | UKREastern Europe · 2012 reading | 0.00084 | 0.244 | 34.410 | 2012 |
| 108 | ARMWestern Asia · 2016 reading | 0.00069 | 0.191 | 36.214 | 2015-2016 |
| 109 | SRBSouthern Europe · 2019 reading | 0.00043 | 0.114 | 38.102 | 2019 |
02In Global Multidimensional Poverty Index, 2021 compilation
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure. Readings too old to compare take no part.
Highest
- 1
Niger0.60128
- 4
Chad0.51701
- 5
Central African Republic0.46135
- 6
Mozambique0.41696
- 7
Burundi0.40886
Lowest
- 109
Serbia0.00043
- 108
Armenia0.00069
- 107
Ukraine0.00084
- 106
Turkmenistan0.00085
- 105
Georgia0.00124
A higher value is the worse result. The middle country reads 0.07264. “Shared” marks a value another country also holds.
Each measure’s ends
Population in poverty (%)
Highest
Niger90.971
Lowest
Serbia0.114
Middle country: 16.460
Intensity of deprivation (%)
Highest
Niger66.096
Lowest
Turkmenistan34.048
Middle country: 42.231
032020 → 2021
Since the 2020 compilation
What changed between the 2020 compilation and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 107values changed, of 107 in both
- 45 · 62rose · fell
- 0unchanged
Rose most
Namibia0.17145 → 0.18473+0.01329
Uganda0.26885 → 0.28103+0.01218
Timor-Leste0.20962 → 0.22151+0.01190
Niger0.59015 → 0.60128+0.01113
Tanzania0.27343 → 0.28418+0.01075
Changes in value, not in places: a country’s place also moves when others do. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
Readings from many years
Each country’s newest reading as of 2021, from 2009 to 2020. 4 are more than ten years older than the file: listed and marked, but left out of the ends and the changes.
The position is ours
OPHI publishes values only; the order is this site’s.
Nothing missing
Every one of the 109 countries has every column.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
109 rows · 9.4 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download global-mpi-2021-nations-inquiry.csv - ↗
The publisher’s original
OPHI’s own file, on its own site.
table-1-national-results-mpi-2021.xlsx
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: Public domain · what it allows, in plain words
Cite this edition
Oxford Poverty and Human Development Initiative (OPHI) (2021). Global Multidimensional Poverty Index, 2021 compilation [data set]. As held by Nations Inquiry, https://nationsinquiry.com/datasets/global-mpi/2021
068 held
Other editions
‹ The edition before
Global Multidimensional Poverty Index, 2020 compilation107 countries
The edition after ›
Global Multidimensional Poverty Index, 2022 compilation111 countries
All of them
Global Multidimensional Poverty Index: every edition8 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Global Multidimensional Poverty Index, 2021 compilation: questions and answers
Which country has the highest Multidimensional Poverty Index in Global Multidimensional Poverty Index, 2021 compilation?
Niger, at 0.60128, of the 109 countries in the file.
How many countries does Global Multidimensional Poverty Index, 2021 compilation cover?
109.
Where can I download Global Multidimensional Poverty Index, 2021 compilation?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Global Multidimensional Poverty Index, 2021 compilation the newest?
No. The newest held here is Global Multidimensional Poverty Index, 2025 compilation.