Data for 2017
Exclusion by Socio-Economic Group, 2017
2017, 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, 2017 covers 176 countries. Yemen is highest, at 0.982; Denmark is lowest, at 0.010. The middle country reads 0.400. Against 2016, 114 values changed (57 up, 57 down), the same countries are covered.
Exclusion by Socio-Economic Group · Data for 2017
HighestYemen
0.982LowestDenmark
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, 2017, 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 | 0.982 |
| 2 | SSDEastern Africa | 0.962 |
| 3 | TJKCentral Asia | 0.942 |
| 4 | HTICaribbean | 0.930 |
| 5 | SOMEastern Africa | 0.923 |
| 6 | TCDMiddle Africa | 0.902 |
| 7 | CODMiddle Africa | 0.890 |
| 8 | COGMiddle Africa | 0.885 |
| 9 | GTMCentral America | 0.874 |
| 10 | MRTWestern Africa | 0.870 |
| 11 | SLVCentral America | 0.861 |
| 12 | BGDSouthern Asia | 0.858 |
| 13 | SDNNorthern Africa | 0.853 |
| 14 | MDGEastern Africa | 0.846 |
| 15 | IRQWestern Asia | 0.841 |
| 16 | BDIEastern Africa | 0.840 |
| 17 | CAFMiddle Africa | 0.833 |
| 18 | CMRMiddle Africa | 0.830 |
| 19 | AGOMiddle Africa | 0.824 |
| 20 | SomalilandXSLEastern Africa | 0.816 |
| 21 | RWAEastern Africa | 0.810 |
| 22 | KHMSouth-eastern Asia | 0.805 |
| 23 | EGYNorthern Africa | 0.764 |
| 24 | DJIEastern Africa | 0.760 |
| 25 | GNQMiddle Africa | 0.734 |
| 26 | MEXCentral America | 0.727 |
| 27 | MLIWestern Africa | 0.713 |
| 28 | PNGMelanesia | 0.710 |
| 29 | AFGSouthern Asia | 0.700 |
| 30 | NGAWestern Africa | 0.666 |
| 31 | GINWestern Africa | 0.660 |
| 32 | TLSSouth-eastern Asia | 0.659 |
| 33 | LBRWestern Africa | 0.655 |
| 34 | PRYSouth America | 0.650 |
| 35 | DOMCaribbean | 0.632 |
| 36 | HNDCentral America | 0.631 |
| 37 | COLSouth America | 0.625 |
| 38 | UGAEastern Africa | 0.610 |
| 39 | PHLSouth-eastern Asia | 0.608 |
| 40 | GNBWestern Africa | 0.607 |
| 41 | PRKEastern Asia | 0.605 |
| 42 | PAKSouthern Asia | 0.594 |
| =43 | BHRWestern Asia | 0.593 |
| =43 | ETHEastern Africa | 0.593 |
| 45 | SYRWestern Asia | 0.592 |
| 46 | IDNSouth-eastern Asia | 0.587 |
| 47 | NICCentral America | 0.586 |
| 48 | MWIEastern Africa | 0.583 |
| 49 | TKMCentral Asia | 0.574 |
| 50 | MMRSouth-eastern Asia | 0.571 |
| 51 | AZEWestern Asia | 0.559 |
| 52 | COMEastern Africa | 0.555 |
| =53 | ERIEastern Africa | 0.552 |
| =53 | FJIMelanesia | 0.552 |
| 55 | LAOSouth-eastern Asia | 0.549 |
| 56 | UZBCentral Asia | 0.546 |
| 57 | GABMiddle Africa | 0.544 |
| 58 | MOZEastern Africa | 0.541 |
| 59 | SLBMelanesia | 0.537 |
| 60 | TGOWestern Africa | 0.535 |
| 61 | BENWestern Africa | 0.530 |
| 62 | LBNWestern Asia | 0.529 |
| 63 | STPMiddle Africa | 0.505 |
| 64 | SURSouth America | 0.503 |
| 65 | SAUWestern Asia | 0.500 |
| 66 | LKASouthern Asia | 0.493 |
| 67 | CHNEastern Asia | 0.489 |
| 68 | CIVWestern Africa | 0.471 |
| 69 | SWZSouthern Africa | 0.461 |
| 70 | IRNSouthern Asia | 0.460 |
| 71 | PERSouth America | 0.459 |
| 72 | ZAFSouthern Africa | 0.458 |
| 73 | LBYNorthern Africa | 0.451 |
| 74 | SLEWestern Africa | 0.449 |
| 75 | NAMSouthern Africa | 0.446 |
| 76 | KGZCentral Asia | 0.442 |
| 77 | RUSEastern Europe | 0.441 |
| 78 | PANCentral America | 0.437 |
| 79 | KENEastern Africa | 0.435 |
| 80 | MYSSouth-eastern Asia | 0.433 |
| 81 | ARMWestern Asia | 0.432 |
| 82 | OMNWestern Asia | 0.426 |
| 83 | VENSouth America | 0.423 |
| 84 | XKXSouthern Europe | 0.412 |
| 85 | ECUSouth America | 0.407 |
| 86 | MARNorthern Africa | 0.405 |
| 87 | THASouth-eastern Asia | 0.401 |
| =88 | JORWestern Asia | 0.400 |
| =88 | KAZCentral Asia | 0.400 |
| 90 | ZMBEastern Africa | 0.390 |
| 91 | INDSouthern Asia | 0.382 |
| 92 | GMBWestern Africa | 0.377 |
| 93 | ZWEEastern Africa | 0.376 |
| 94 | BIHSouthern Europe | 0.373 |
| 95 | UKREastern Europe | 0.363 |
| 96 | CPVWestern Africa | 0.350 |
| 97 | GUYSouth America | 0.347 |
| 98 | DZANorthern Africa | 0.342 |
| 99 | QATWestern Asia | 0.337 |
| 100 | VUTMelanesia | 0.334 |
| 101 | ARGSouth America | 0.328 |
| 102 | CHLSouth America | 0.327 |
| 103 | MNGEastern Asia | 0.312 |
| 104 | LSOSouthern Africa | 0.310 |
| 105 | AREWestern Asia | 0.308 |
| 106 | VNMSouth-eastern Asia | 0.294 |
| 107 | ALBSouthern Europe | 0.289 |
| 108 | TURWestern Asia | 0.288 |
| =109 | NERWestern Africa | 0.286 |
| =109 | TZAEastern Africa | 0.286 |
| 111 | BRASouth America | 0.266 |
| 112 | MDVSouthern Asia | 0.263 |
| 113 | BFAWestern Africa | 0.253 |
| 114 | SENWestern Africa | 0.248 |
| 115 | KWTWestern Asia | 0.246 |
| 116 | MDAEastern Europe | 0.245 |
| 117 | JAMCaribbean | 0.241 |
| 118 | MKDSouthern Europe | 0.238 |
| 119 | MNESouthern Europe | 0.217 |
| 120 | NPLSouthern Asia | 0.212 |
| 121 | ROUEastern Europe | 0.200 |
| 122 | BWASouthern Africa | 0.199 |
| 123 | SRBSouthern Europe | 0.197 |
| 124 | GEOWestern Asia | 0.194 |
| 125 | SYCEastern Africa | 0.191 |
| 126 | TUNNorthern Africa | 0.188 |
| 127 | ISRWestern Asia | 0.186 |
| 128 | TTOCaribbean | 0.183 |
| 129 | GHAWestern Africa | 0.182 |
| 130 | SVKEastern Europe | 0.175 |
| 131 | CUBCaribbean | 0.173 |
| 132 | BTNSouthern Asia | 0.165 |
| 133 | BOLSouth America | 0.163 |
| 134 | HRVSouthern Europe | 0.152 |
| =135 | NZLAustralia and New Zealand | 0.149 |
| =135 | GBRNorthern Europe | 0.149 |
| 137 | HKGEastern Asia | 0.138 |
| 138 | BRBCaribbean | 0.133 |
| 139 | HUNEastern Europe | 0.123 |
| 140 | BGREastern Europe | 0.121 |
| 141 | MUSEastern Africa | 0.117 |
| =142 | CYPWestern Asia | 0.114 |
| =142 | PRTSouthern Europe | 0.114 |
| 144 | USANorthern America | 0.107 |
| 145 | CRICentral America | 0.101 |
| 146 | SVNSouthern Europe | 0.091 |
| 147 | KOREastern Asia | 0.090 |
| 148 | MLTSouthern Europe | 0.084 |
| 149 | URYSouth America | 0.083 |
| 150 | IRLNorthern Europe | 0.074 |
| 151 | POLEastern Europe | 0.072 |
| 152 | GRCSouthern Europe | 0.071 |
| 153 | CANNorthern America | 0.067 |
| 154 | LTUNorthern Europe | 0.061 |
| 155 | BELWestern Europe | 0.060 |
| 156 | ESPSouthern Europe | 0.058 |
| 157 | ITASouthern Europe | 0.054 |
| 158 | FRAWestern Europe | 0.053 |
| =159 | AUTWestern Europe | 0.040 |
| =159 | TWNEastern Asia | 0.040 |
| 161 | LUXWestern Europe | 0.038 |
| 162 | LVANorthern Europe | 0.037 |
| 163 | ISLNorthern Europe | 0.035 |
| 164 | SWENorthern Europe | 0.032 |
| 165 | SGPSouth-eastern Asia | 0.031 |
| 166 | BLREastern Europe | 0.029 |
| 167 | CZEEastern Europe | 0.027 |
| 168 | CHEWestern Europe | 0.025 |
| 169 | DEUWestern Europe | 0.021 |
| 170 | ESTNorthern Europe | 0.020 |
| 171 | AUSAustralia and New Zealand | 0.018 |
| 172 | FINNorthern Europe | 0.017 |
| =173 | NLDWestern Europe | 0.016 |
| =173 | NORNorthern Europe | 0.016 |
| 175 | JPNEastern Asia | 0.015 |
| 176 | DNKNorthern Europe | 0.010 |
02In 2017
At either end
The 5 countries at each end of the headline.
Highest
- 1
Yemen0.982
- 2
South Sudan0.962
- 3
Tajikistan0.942
- 4
Haiti0.930
- 5
Somalia0.923
Lowest
- 176
Denmark0.010
- 175
Japan0.015
- 173
Norwayshared0.016
- 173
Netherlandsshared0.016
- 172
Finland0.017
A higher value is the worse result. The middle country reads 0.400. “Shared” marks a value another country also holds.
032016 → 2017
Since 2016
- +0 / −0countries joined / left
- 114values changed, of 176 in both
- 57 · 57rose · fell
- 62unchanged
Rose most
Lebanon0.455 → 0.529+0.074
Benin0.504 → 0.530+0.026
Liberia0.630 → 0.655+0.025
Yemen0.959 → 0.982+0.023
Turkmenistan0.551 → 0.574+0.023
Fell most
Gambia0.500 → 0.377−0.123
Zambia0.416 → 0.390−0.026
Myanmar0.593 → 0.571−0.022
Zimbabwe0.397 → 0.376−0.021
Kazakhstan0.419 → 0.400−0.019
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 2017.
168 distinct values among 176
Values are stored exactly as published, to 3 decimals. 2 countries share 0.593. 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 · 4.7 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download socioeconomic-exclusion-2017-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 (2017). Exclusion by Socio-Economic Group, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/socioeconomic-exclusion/2017
0634 held
Other years
‹ The year before
Exclusion by Socio-Economic Group, 2016176 countries
The year after ›
Exclusion by Socio-Economic Group, 2018176 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