Data for 2019
Exclusion by Socio-Economic Group, 2019
2019, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
V-Dem's index of exclusion by socio-economic group asks how far poorer people are shut out: whether wealth decides who holds political power, whose civil liberties are respected, and who gets public services, state jobs and state business. It runs from 0 to 1, and a higher figure means more exclusion.
Exclusion by Socio-Economic Group, 2019 covers 176 countries. Yemen is highest, at 0.977; Denmark is lowest, at 0.010. The middle country reads 0.372. Against 2018, 131 values changed (69 up, 62 down), the same countries are covered.
Exclusion by Socio-Economic Group · Data for 2019
HighestYemen
0.977LowestDenmark
0.010Shaded by value in five groups of equal size, darkest at the lowest end.
01Position · derived
The table
Every country and every column of Exclusion by Socio-Economic Group, 2019, as published. V-Dem Institute ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 176 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | YEMWestern Asia | 0.977 |
| 2 | SSDEastern Africa | 0.960 |
| 3 | TJKCentral Asia | 0.946 |
| 4 | CAFMiddle Africa | 0.939 |
| 5 | HTICaribbean | 0.921 |
| 6 | SOMEastern Africa | 0.918 |
| 7 | TCDMiddle Africa | 0.902 |
| 8 | BGDSouthern Asia | 0.893 |
| 9 | MDGEastern Africa | 0.892 |
| 10 | CODMiddle Africa | 0.869 |
| =11 | CMRMiddle Africa | 0.867 |
| =11 | MRTWestern Africa | 0.867 |
| 13 | COGMiddle Africa | 0.857 |
| 14 | SDNNorthern Africa | 0.847 |
| 15 | IRQWestern Asia | 0.844 |
| 16 | BDIEastern Africa | 0.840 |
| 17 | SLVCentral America | 0.839 |
| 18 | SomalilandXSLEastern Africa | 0.830 |
| 19 | AGOMiddle Africa | 0.825 |
| 20 | GTMCentral America | 0.819 |
| 21 | RWAEastern Africa | 0.807 |
| 22 | KHMSouth-eastern Asia | 0.802 |
| 23 | DJIEastern Africa | 0.748 |
| 24 | EGYNorthern Africa | 0.744 |
| 25 | GNQMiddle Africa | 0.718 |
| 26 | AFGSouthern Asia | 0.708 |
| 27 | PNGMelanesia | 0.705 |
| 28 | GINWestern Africa | 0.675 |
| =29 | MEXCentral America | 0.663 |
| =29 | PRYSouth America | 0.663 |
| 31 | NGAWestern Africa | 0.661 |
| 32 | MLIWestern Africa | 0.660 |
| 33 | LBRWestern Africa | 0.658 |
| 34 | TLSSouth-eastern Asia | 0.655 |
| =35 | COLSouth America | 0.637 |
| =35 | PHLSouth-eastern Asia | 0.637 |
| 37 | DOMCaribbean | 0.636 |
| 38 | HNDCentral America | 0.635 |
| 39 | SYRWestern Asia | 0.630 |
| 40 | PRKEastern Asia | 0.624 |
| =41 | ERIEastern Africa | 0.621 |
| =41 | UGAEastern Africa | 0.621 |
| 43 | GNBWestern Africa | 0.611 |
| =44 | IDNSouth-eastern Asia | 0.600 |
| =44 | MWIEastern Africa | 0.600 |
| 46 | LBNWestern Asia | 0.599 |
| 47 | BHRWestern Asia | 0.592 |
| 48 | GABMiddle Africa | 0.589 |
| 49 | NICCentral America | 0.587 |
| 50 | AZEWestern Asia | 0.583 |
| 51 | PAKSouthern Asia | 0.570 |
| 52 | MMRSouth-eastern Asia | 0.564 |
| 53 | MOZEastern Africa | 0.563 |
| 54 | TKMCentral Asia | 0.558 |
| 55 | COMEastern Africa | 0.552 |
| 56 | ETHEastern Africa | 0.542 |
| 57 | FJIMelanesia | 0.540 |
| =58 | BENWestern Africa | 0.539 |
| =58 | TGOWestern Africa | 0.539 |
| 60 | SLBMelanesia | 0.537 |
| 61 | SAUWestern Asia | 0.516 |
| 62 | UZBCentral Asia | 0.509 |
| 63 | STPMiddle Africa | 0.505 |
| =64 | NAMSouthern Africa | 0.496 |
| =64 | VENSouth America | 0.496 |
| 66 | SWZSouthern Africa | 0.494 |
| 67 | LAOSouth-eastern Asia | 0.491 |
| 68 | CHNEastern Asia | 0.489 |
| 69 | ZMBEastern Africa | 0.485 |
| 70 | LKASouthern Asia | 0.484 |
| 71 | IRNSouthern Asia | 0.482 |
| =72 | CIVWestern Africa | 0.459 |
| =72 | PANCentral America | 0.459 |
| =72 | PERSouth America | 0.459 |
| =72 | ZAFSouthern Africa | 0.459 |
| 76 | KGZCentral Asia | 0.453 |
| 77 | INDSouthern Asia | 0.448 |
| 78 | RUSEastern Europe | 0.447 |
| 79 | ECUSouth America | 0.443 |
| 80 | LBYNorthern Africa | 0.439 |
| 81 | SURSouth America | 0.432 |
| 82 | OMNWestern Asia | 0.426 |
| 83 | SLEWestern Africa | 0.411 |
| 84 | MARNorthern Africa | 0.405 |
| 85 | KAZCentral Asia | 0.404 |
| 86 | BIHSouthern Europe | 0.389 |
| 87 | ZWEEastern Africa | 0.380 |
| 88 | THASouth-eastern Asia | 0.373 |
| 89 | XKXSouthern Europe | 0.370 |
| 90 | GMBWestern Africa | 0.369 |
| 91 | MYSSouth-eastern Asia | 0.366 |
| 92 | VUTMelanesia | 0.365 |
| 93 | KENEastern Africa | 0.355 |
| 94 | CPVWestern Africa | 0.352 |
| 95 | TURWestern Asia | 0.350 |
| 96 | QATWestern Asia | 0.349 |
| 97 | JORWestern Asia | 0.347 |
| 98 | CHLSouth America | 0.345 |
| 99 | NERWestern Africa | 0.330 |
| 100 | LSOSouthern Africa | 0.329 |
| 101 | UKREastern Europe | 0.328 |
| 102 | ARGSouth America | 0.321 |
| =103 | MNGEastern Asia | 0.319 |
| =103 | VNMSouth-eastern Asia | 0.319 |
| 105 | ALBSouthern Europe | 0.312 |
| 106 | AREWestern Asia | 0.309 |
| 107 | DZANorthern Africa | 0.304 |
| 108 | BRASouth America | 0.289 |
| 109 | TZAEastern Africa | 0.267 |
| 110 | SENWestern Africa | 0.266 |
| 111 | BOLSouth America | 0.264 |
| 112 | NPLSouthern Asia | 0.256 |
| 113 | ARMWestern Asia | 0.251 |
| 114 | GUYSouth America | 0.248 |
| 115 | MDAEastern Europe | 0.243 |
| 116 | KWTWestern Asia | 0.242 |
| 117 | MDVSouthern Asia | 0.224 |
| =118 | MNESouthern Europe | 0.214 |
| =118 | ROUEastern Europe | 0.214 |
| 120 | GEOWestern Asia | 0.206 |
| 121 | JAMCaribbean | 0.202 |
| 122 | MKDSouthern Europe | 0.201 |
| =123 | BFAWestern Africa | 0.190 |
| =123 | GHAWestern Africa | 0.190 |
| 125 | TUNNorthern Africa | 0.188 |
| 126 | ISRWestern Asia | 0.186 |
| 127 | SYCEastern Africa | 0.178 |
| 128 | GBRNorthern Europe | 0.177 |
| 129 | SRBSouthern Europe | 0.171 |
| 130 | BTNSouthern Asia | 0.168 |
| 131 | TTOCaribbean | 0.167 |
| 132 | SVKEastern Europe | 0.162 |
| 133 | BWASouthern Africa | 0.160 |
| 134 | CUBCaribbean | 0.159 |
| 135 | HRVSouthern Europe | 0.146 |
| 136 | HKGEastern Asia | 0.143 |
| 137 | HUNEastern Europe | 0.142 |
| 138 | BGREastern Europe | 0.136 |
| 139 | NZLAustralia and New Zealand | 0.127 |
| 140 | BRBCaribbean | 0.126 |
| =141 | CYPWestern Asia | 0.117 |
| =141 | USANorthern America | 0.117 |
| 143 | PRTSouthern Europe | 0.114 |
| 144 | MUSEastern Africa | 0.110 |
| 145 | CRICentral America | 0.097 |
| 146 | SVNSouthern Europe | 0.092 |
| 147 | MLTSouthern Europe | 0.086 |
| 148 | GRCSouthern Europe | 0.083 |
| 149 | URYSouth America | 0.080 |
| 150 | IRLNorthern Europe | 0.077 |
| 151 | KOREastern Asia | 0.076 |
| 152 | CANNorthern America | 0.071 |
| 153 | FRAWestern Europe | 0.069 |
| 154 | LTUNorthern Europe | 0.068 |
| 155 | POLEastern Europe | 0.065 |
| =156 | BELWestern Europe | 0.060 |
| =156 | ITASouthern Europe | 0.060 |
| 158 | ESPSouthern Europe | 0.059 |
| =159 | AUTWestern Europe | 0.039 |
| =159 | TWNEastern Asia | 0.039 |
| 161 | LUXWestern Europe | 0.038 |
| 162 | BLREastern Europe | 0.034 |
| 163 | SWENorthern Europe | 0.032 |
| 164 | SGPSouth-eastern Asia | 0.031 |
| =165 | CZEEastern Europe | 0.030 |
| =165 | ISLNorthern Europe | 0.030 |
| =165 | LVANorthern Europe | 0.030 |
| 168 | CHEWestern Europe | 0.025 |
| 169 | ESTNorthern Europe | 0.020 |
| 170 | FINNorthern Europe | 0.018 |
| 171 | AUSAustralia and New Zealand | 0.017 |
| 172 | DEUWestern Europe | 0.016 |
| =173 | JPNEastern Asia | 0.015 |
| =173 | NLDWestern Europe | 0.015 |
| 175 | NORNorthern Europe | 0.014 |
| 176 | DNKNorthern Europe | 0.010 |
02In 2019
At either end
The 5 countries at each end of the headline.
Highest
- 1
Yemen0.977
- 2
South Sudan0.960
- 3
Tajikistan0.946
- 4
Central African Republic0.939
- 5
Haiti0.921
Lowest
- 176
Denmark0.010
- 175
Norway0.014
- 173
Netherlandsshared0.015
- 173
Japanshared0.015
- 172
Germany0.016
A higher value is the worse result. The middle country reads 0.372. “Shared” marks a value another country also holds.
032018 → 2019
Since 2018
- +0 / −0countries joined / left
- 131values changed, of 176 in both
- 69 · 62rose · fell
- 45unchanged
04Caveats
Read before you use
One year of the 2026 release
Every year in this series comes from V-Dem Institute’s 2026 release, recalculated on one method, so a change from one year to the next is not a revision. It can differ from what was first published for 2019.
157 distinct values among 176
Values are stored exactly as published, to 3 decimals. 4 countries share 0.459. Countries sharing a value share a position too.
Nothing missing
Every one of the 176 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
176 rows · 4.8 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download socioeconomic-exclusion-2019-nations-inquiry.csv - ↗
The publisher’s original
V-Dem Institute’s own file, on its own site.
V-Dem-CY-Core-v16_csv.zip
What this site changed: Reshaped to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full
Licence: CC BY-SA 4.0 · what it allows, in plain words
Cite this edition
V-Dem Institute, University of Gothenburg (2019). Exclusion by Socio-Economic Group, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/socioeconomic-exclusion/2019
0634 held
Other years
‹ The year before
Exclusion by Socio-Economic Group, 2018176 countries
The year after ›
Exclusion by Socio-Economic Group, 2020176 countries
All of them
Exclusion by Socio-Economic Group: every year34 held, with the data dictionary, coverage and licence.
How it has moved, charted by country