Latest available · compiled 2019
Global Multidimensional Poverty Index, 2019 compilation
Each country’s newest reading as of 2019; every row carries its own year · stored as published, never rewritten
Global Multidimensional Poverty Index, 2019 compilation covers 101 countries on 3 measures. Niger is highest, at 0.59015; Armenia is lowest, at 0.00068. The middle country reads 0.10833. Against the 2018 compilation, 81 values changed (9 up, 72 down), 4 left. 2 readings are more than ten years older than the file and are listed but not compared.
Global Multidimensional Poverty Index · Latest available · compiled 2019
HighestNiger
0.59015LowestArmenia
0.00068Shaded 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, 2019 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 101 countries · select a heading to sort
| derived | |||||
|---|---|---|---|---|---|
| 1 | NERWestern Africa · 2012 reading | 0.59015 | 90.47 | 65.231 | 2012 |
| 2 | SSDEastern Africa · 2010 reading | 0.58016 | 91.86 | 63.155 | 2010 |
| 3 | TCDMiddle Africa · 2015 reading | 0.53344 | 85.67 | 62.265 | 2014-2015 |
| 4 | BFAWestern Africa · 2010 reading | 0.51906 | 83.83 | 61.915 | 2010 |
| 5 | ETHEastern Africa · 2016 reading | 0.48879 | 83.50 | 58.535 | 2016 |
| 6 | CAFMiddle Africa · 2010 reading | 0.46486 | 79.36 | 58.576 | 2010 |
| 7 | MLIWestern Africa · 2015 reading | 0.45676 | 78.09 | 58.495 | 2015 |
| 8 | MDGEastern Africa · 2009 reading | 0.45255 | 77.76 | 58.196 | 2008-2009 |
| 9 | MOZEastern Africa · 2011 reading | 0.41071 | 72.45 | 56.686 | 2011 |
| 10 | BDIEastern Africa · 2017 reading | 0.40317 | 74.25 | 54.296 | 2016-2017 |
| 11 | CODMiddle Africa · 2014 reading | 0.38902 | 74.05 | 52.536 | 2013-2014 |
| 12 | GNBWestern Africa · 2014 reading | 0.37231 | 67.29 | 55.326 | 2014 |
| 13 | BENWestern Africa · 2018 reading | 0.36767 | 66.80 | 55.042 | 2017-2018 |
| 14 | GINWestern Africa · 2016 reading | 0.33598 | 61.86 | 54.311 | 2016 |
| 15 | LBRWestern Africa · 2013 reading | 0.31968 | 62.94 | 50.793 | 2013 |
| 16 | SLEWestern Africa · 2017 reading | 0.29670 | 57.93 | 51.216 | 2017 |
| 17 | NGAWestern Africa · 2017 reading | 0.29116 | 51.43 | 56.611 | 2016-2017 |
| 18 | SENWestern Africa · 2017 reading | 0.28798 | 53.17 | 54.161 | 2017 |
| 19 | GMBWestern Africa · 2013 reading | 0.28578 | 55.24 | 51.737 | 2013 |
| 20 | AGOMiddle Africa · 2016 reading | 0.28244 | 51.10 | 55.267 | 2015-2016 |
| 21 | SDNNorthern Africa · 2014 reading | 0.27944 | 52.33 | 53.401 | 2014 |
| 22 | TZAEastern Africa · 2016 reading | 0.27343 | 55.45 | 49.313 | 2015-2016 |
| 23 | AFGSouthern Asia · 2016 reading | 0.27172 | 55.91 | 48.600 | 2015-2016 |
| 24 | UGAEastern Africa · 2016 reading | 0.26885 | 55.09 | 48.800 | 2016 |
| 25 | ZMBEastern Africa · 2014 reading | 0.26134 | 53.24 | 49.084 | 2013-2014 |
| 26 | MRTWestern Africa · 2015 reading | 0.26064 | 50.57 | 51.545 | 2015 |
| 27 | RWAEastern Africa · 2015 reading | 0.25868 | 54.42 | 47.530 | 2014-2015 |
| 28 | TGOWestern Africa · 2014 reading | 0.24868 | 48.15 | 51.644 | 2013-2014 |
| 29 | MWIEastern Africa · 2016 reading | 0.24314 | 52.62 | 46.206 | 2015-2016 |
| 30 | CMRMiddle Africa · 2014 reading | 0.24269 | 45.33 | 53.543 | 2014 |
| 31 | YEMWestern Asia · 2013 reading | 0.24073 | 47.70 | 50.470 | 2013 |
| 32 | CIVWestern Africa · 2016 reading | 0.23587 | 46.07 | 51.201 | 2016 |
| 33 | TLSSouth-eastern Asia · 2016 reading | 0.20962 | 45.82 | 45.750 | 2016 |
| 34 | HTICaribbean · 2017 reading | 0.19959 | 41.27 | 48.363 | 2016-2017 |
| 35 | PAKSouthern Asia · 2018 reading | 0.19825 | 38.33 | 51.718 | 2017-2018 |
| 36 | BGDSouthern Asia · 2014 reading | 0.19791 | 41.70 | 47.465 | 2014 |
| 37 | COMEastern Africa · 2012 reading | 0.18077 | 37.26 | 48.510 | 2012 |
| 38 | KENEastern Africa · 2014 reading | 0.17788 | 38.68 | 45.991 | 2014 |
| 39 | MMRSouth-eastern Asia · 2016 reading | 0.17585 | 38.32 | 45.894 | 2015-2016 |
| 40 | BTNSouthern Asia · 2010 reading | 0.17486 | 37.34 | 46.829 | 2010 |
| 41 | VUTMelanesia · 2007 reading, too old to compare | 0.17388 | 38.76 | 44.858 | 2007 |
| 42 | NAMSouthern Africa · 2013 reading | 0.17145 | 38.00 | 45.116 | 2013 |
| 43 | KHMSouth-eastern Asia · 2014 reading | 0.17035 | 37.19 | 45.810 | 2014 |
| 44 | NPLSouthern Asia · 2016 reading | 0.14826 | 33.99 | 43.619 | 2016 |
| 45 | LSOSouthern Africa · 2014 reading | 0.14579 | 33.57 | 43.425 | 2014 |
| 46 | GHAWestern Africa · 2014 reading | 0.13787 | 30.07 | 45.844 | 2014 |
| 47 | ZWEEastern Africa · 2015 reading | 0.13651 | 31.80 | 42.926 | 2015 |
| 48 | GTMCentral America · 2015 reading | 0.13352 | 28.88 | 46.229 | 2014-2015 |
| 49 | INDSouthern Asia · 2016 reading | 0.12265 | 27.91 | 43.949 | 2015-2016 |
| 50 | COGMiddle Africa · 2015 reading | 0.11168 | 24.27 | 46.020 | 2014-2015 |
| 51 | LAOSouth-eastern Asia · 2017 reading | 0.10833 | 23.07 | 46.954 | 2017 |
| 52 | BOLSouth America · 2008 reading, too old to compare | 0.09375 | 20.40 | 45.958 | 2008 |
| 53 | STPMiddle Africa · 2014 reading | 0.09196 | 22.06 | 41.686 | 2014 |
| 54 | HNDCentral America · 2012 reading | 0.08953 | 19.30 | 46.380 | 2011-2012 |
| 55 | MARNorthern Africa · 2011 reading | 0.08482 | 18.57 | 45.683 | 2011 |
| 56 | SWZSouthern Africa · 2014 reading | 0.08127 | 19.21 | 42.298 | 2014 |
| 57 | NICCentral America · 2012 reading | 0.07350 | 16.26 | 45.196 | 2011-2012 |
| 58 | GABMiddle Africa · 2012 reading | 0.06579 | 14.85 | 44.307 | 2012 |
| 59 | PERSouth America · 2012 reading | 0.05267 | 12.66 | 41.605 | 2012 |
| 60 | MNGEastern Asia · 2013 reading | 0.04234 | 10.16 | 41.667 | 2013 |
| 61 | SURSouth America · 2010 reading | 0.04072 | 9.38 | 43.396 | 2010 |
| 62 | IRQWestern Asia · 2018 reading | 0.03269 | 8.64 | 37.861 | 2018 |
| 63 | SLVCentral America · 2014 reading | 0.03246 | 7.86 | 41.296 | 2014 |
| 64 | TJKCentral Asia · 2017 reading | 0.02901 | 7.44 | 38.962 | 2017 |
| 65 | SYRWestern Asia · 2009 reading | 0.02877 | 7.39 | 38.928 | 2009 |
| 66 | IDNSouth-eastern Asia · 2012 reading | 0.02828 | 7.01 | 40.330 | 2012 |
| 67 | ZAFSouthern Africa · 2016 reading | 0.02489 | 6.26 | 39.781 | 2016 |
| 68 | MEXCentral America · 2016 reading | 0.02472 | 6.30 | 39.221 | 2016 |
| 69 | PHLSouth-eastern Asia · 2017 reading | 0.02425 | 5.80 | 41.838 | 2017 |
| 70 | COLSouth America · 2016 reading | 0.01966 | 4.85 | 40.562 | 2015-2016 |
| 71 | EGYNorthern Africa · 2014 reading | 0.01942 | 5.16 | 37.613 | 2014 |
| 72 | VNMSouth-eastern Asia · 2014 reading | 0.01933 | 4.90 | 39.496 | 2013-2014 |
| 73 | PRYSouth America · 2016 reading | 0.01885 | 4.50 | 41.879 | 2016 |
| 74 | JAMCaribbean · 2014 reading | 0.01815 | 4.69 | 38.731 | 2014 |
| 75 | ECUSouth America · 2014 reading | 0.01795 | 4.49 | 39.992 | 2013-2014 |
| 76 | BLZCentral America · 2016 reading | 0.01711 | 4.30 | 39.755 | 2015-2016 |
| 77 | BRASouth America · 2015 reading | 0.01635 | 3.84 | 42.546 | 2015 |
| 78 | CHNEastern Asia · 2014 reading | 0.01596 | 3.86 | 41.318 | 2014 |
| 79 | DOMCaribbean · 2014 reading | 0.01510 | 3.88 | 38.925 | 2014 |
| 80 | GUYSouth America · 2014 reading | 0.01407 | 3.37 | 41.808 | 2014 |
| 81 | MKDSouthern Europe · 2011 reading | 0.00956 | 2.53 | 37.738 | 2011 |
| 82 | BRBCaribbean · 2012 reading | 0.00853 | 2.49 | 34.234 | 2012 |
| 83 | BIHSouthern Europe · 2012 reading | 0.00831 | 2.19 | 37.931 | 2011-2012 |
| 84 | KGZCentral Asia · 2014 reading | 0.00828 | 2.28 | 36.322 | 2014 |
| 85 | DZANorthern Africa · 2013 reading | 0.00815 | 2.10 | 38.807 | 2012-2013 |
| 86 | LBYNorthern Africa · 2014 reading | 0.00741 | 2.00 | 37.117 | 2014 |
| 87 | LCACaribbean · 2012 reading | 0.00720 | 1.92 | 37.488 | 2012 |
| 88 | TUNNorthern Africa · 2012 reading | 0.00525 | 1.32 | 39.688 | 2011-2012 |
| 89 | PSEWestern Asia · 2014 reading | 0.00359 | 0.96 | 37.543 | 2014 |
| 90 | MDAEastern Europe · 2012 reading | 0.00353 | 0.94 | 37.450 | 2012 |
| 91 | THASouth-eastern Asia · 2016 reading | 0.00307 | 0.79 | 39.100 | 2015-2016 |
| 92 | ALBSouthern Europe · 2018 reading | 0.00275 | 0.70 | 39.057 | 2017-2018 |
| 93 | MDVSouthern Asia · 2017 reading | 0.00265 | 0.77 | 34.380 | 2016-2017 |
| 94 | TTOCaribbean · 2011 reading | 0.00242 | 0.64 | 37.984 | 2011 |
| 95 | MNESouthern Europe · 2013 reading | 0.00175 | 0.38 | 45.704 | 2013 |
| 96 | KAZCentral Asia · 2015 reading | 0.00161 | 0.45 | 35.557 | 2015 |
| 97 | JORWestern Asia · 2018 reading | 0.00153 | 0.43 | 35.388 | 2017-2018 |
| 98 | TKMCentral Asia · 2016 reading | 0.00145 | 0.40 | 36.081 | 2015-2016 |
| 99 | SRBSouthern Europe · 2014 reading | 0.00144 | 0.34 | 42.474 | 2014 |
| 100 | UKREastern Europe · 2012 reading | 0.00083 | 0.24 | 34.483 | 2012 |
| 101 | ARMWestern Asia · 2016 reading | 0.00068 | 0.19 | 36.214 | 2015-2016 |
02In Global Multidimensional Poverty Index, 2019 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
Niger0.59015
- 2
South Sudan0.58016
- 3
Chad0.53344
- 4
Burkina Faso0.51906
- 5
Ethiopia0.48879
Lowest
- 101
Armenia0.00068
- 100
Ukraine0.00083
- 99
Serbia0.00144
- 98
Turkmenistan0.00145
- 97
Jordan0.00153
A higher value is the worse result. The middle country reads 0.10833. “Shared” marks a value another country also holds.
Each measure’s ends
Population in poverty (%)
Highest
South Sudan91.86
Lowest
Armenia0.19
Middle country: 23.07
Intensity of deprivation (%)
Highest
Niger65.231
Lowest
Barbados34.234
Middle country: 45.116
032018 → 2019
Since the 2018 compilation
What changed between the 2018 compilation and this one: who joined or left, and how far the headline moved.
- +0 / −4countries joined / left
- 81values changed, of 101 in both
- 9 · 72rose · fell
- 20unchanged
Rose most
Benin0.34622 → 0.36767+0.02146
Cambodia0.15798 → 0.17035+0.01237
DR Congo0.37804 → 0.38902+0.01097
Ghana0.13153 → 0.13787+0.00634
Bangladesh0.19438 → 0.19791+0.00353
Fell most
Sierra Leone0.42191 → 0.29670−0.12521
Laos0.21121 → 0.10833−0.10288
Republic of the Congo0.18474 → 0.11168−0.07306
Haiti0.23123 → 0.19959−0.03164
Pakistan0.22835 → 0.19825−0.03010
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 2019, from 2007 to 2018. 2 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 101 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
101 rows · 9.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download global-mpi-2019-nations-inquiry.csv - ↗
The publisher’s original
OPHI’s own file, on its own site.
table-1-national-results-mpi-2019.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) (2019). Global Multidimensional Poverty Index, 2019 compilation [data set]. As held by Nations Inquiry, https://nationsinquiry.com/datasets/global-mpi/2019
068 held
Other editions
‹ The edition before
Global Multidimensional Poverty Index, 2018 compilation105 countries
The edition after ›
Global Multidimensional Poverty Index, 2020 compilation107 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, 2019 compilation: questions and answers
Which country has the highest Multidimensional Poverty Index in Global Multidimensional Poverty Index, 2019 compilation?
Niger, at 0.59015, of the 101 countries in the file.
How many countries does Global Multidimensional Poverty Index, 2019 compilation cover?
101.
Where can I download Global Multidimensional Poverty Index, 2019 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, 2019 compilation the newest?
No. The newest held here is Global Multidimensional Poverty Index, 2025 compilation.