Data for 2018
Exclusion by Socio-Economic Group, 2018
2018, 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, 2018 covers 176 countries. Yemen is highest, at 0.982; Denmark is lowest, at 0.010. The middle country reads 0.374. Against 2017, 121 values changed (64 up, 57 down), the same countries are covered.
Exclusion by Socio-Economic Group · Data for 2018
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, 2018, 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 | 0.966 |
| 3 | TJKCentral Asia | 0.947 |
| 4 | SOMEastern Africa | 0.927 |
| 5 | HTICaribbean | 0.921 |
| 6 | TCDMiddle Africa | 0.902 |
| 7 | BGDSouthern Asia | 0.893 |
| 8 | CODMiddle Africa | 0.887 |
| 9 | COGMiddle Africa | 0.881 |
| 10 | GTMCentral America | 0.865 |
| 11 | SLVCentral America | 0.864 |
| 12 | BDIEastern Africa | 0.859 |
| 13 | MRTWestern Africa | 0.856 |
| 14 | IRQWestern Asia | 0.848 |
| =15 | MDGEastern Africa | 0.846 |
| =15 | SDNNorthern Africa | 0.846 |
| =17 | AGOMiddle Africa | 0.835 |
| =17 | CMRMiddle Africa | 0.835 |
| 19 | CAFMiddle Africa | 0.834 |
| 20 | SomalilandXSLEastern Africa | 0.830 |
| 21 | RWAEastern Africa | 0.810 |
| 22 | KHMSouth-eastern Asia | 0.805 |
| 23 | EGYNorthern Africa | 0.759 |
| 24 | DJIEastern Africa | 0.748 |
| 25 | GNQMiddle Africa | 0.728 |
| 26 | AFGSouthern Asia | 0.708 |
| 27 | PNGMelanesia | 0.705 |
| =28 | MLIWestern Africa | 0.704 |
| =28 | MEXCentral America | 0.704 |
| =30 | LBRWestern Africa | 0.661 |
| =30 | NGAWestern Africa | 0.661 |
| 32 | TLSSouth-eastern Asia | 0.655 |
| 33 | GINWestern Africa | 0.652 |
| 34 | COLSouth America | 0.649 |
| 35 | PRYSouth America | 0.646 |
| 36 | HNDCentral America | 0.635 |
| 37 | DOMCaribbean | 0.632 |
| 38 | PRKEastern Asia | 0.624 |
| 39 | UGAEastern Africa | 0.623 |
| 40 | ERIEastern Africa | 0.609 |
| 41 | PHLSouth-eastern Asia | 0.608 |
| 42 | GNBWestern Africa | 0.607 |
| 43 | SYRWestern Asia | 0.605 |
| 44 | BHRWestern Asia | 0.597 |
| 45 | TKMCentral Asia | 0.588 |
| =46 | IDNSouth-eastern Asia | 0.587 |
| =46 | NICCentral America | 0.587 |
| =48 | ETHEastern Africa | 0.583 |
| =48 | PAKSouthern Asia | 0.583 |
| 50 | MWIEastern Africa | 0.582 |
| 51 | MMRSouth-eastern Asia | 0.557 |
| 52 | AZEWestern Asia | 0.556 |
| 53 | GABMiddle Africa | 0.553 |
| =54 | COMEastern Africa | 0.552 |
| =54 | UZBCentral Asia | 0.552 |
| 56 | LAOSouth-eastern Asia | 0.549 |
| 57 | BENWestern Africa | 0.539 |
| 58 | SLBMelanesia | 0.537 |
| =59 | LBNWestern Asia | 0.534 |
| =59 | MOZEastern Africa | 0.534 |
| 61 | TGOWestern Africa | 0.531 |
| 62 | FJIMelanesia | 0.525 |
| 63 | SAUWestern Asia | 0.516 |
| 64 | STPMiddle Africa | 0.505 |
| 65 | SURSouth America | 0.496 |
| 66 | LKASouthern Asia | 0.493 |
| 67 | CHNEastern Asia | 0.489 |
| 68 | SWZSouthern Africa | 0.482 |
| =69 | CIVWestern Africa | 0.471 |
| =69 | ZAFSouthern Africa | 0.471 |
| 71 | IRNSouthern Asia | 0.468 |
| =72 | PANCentral America | 0.459 |
| =72 | PERSouth America | 0.459 |
| 74 | VENSouth America | 0.454 |
| 75 | LBYNorthern Africa | 0.451 |
| 76 | NAMSouthern Africa | 0.447 |
| 77 | RUSEastern Europe | 0.446 |
| 78 | ECUSouth America | 0.439 |
| =79 | KGZCentral Asia | 0.426 |
| =79 | OMNWestern Asia | 0.426 |
| =79 | SLEWestern Africa | 0.426 |
| 82 | KENEastern Africa | 0.415 |
| 83 | KAZCentral Asia | 0.411 |
| 84 | MARNorthern Africa | 0.405 |
| 85 | XKXSouthern Europe | 0.400 |
| 86 | ZMBEastern Africa | 0.399 |
| 87 | INDSouthern Asia | 0.380 |
| 88 | ZWEEastern Africa | 0.375 |
| =89 | BIHSouthern Europe | 0.373 |
| =89 | THASouth-eastern Asia | 0.373 |
| 91 | DZANorthern Africa | 0.372 |
| 92 | JORWestern Asia | 0.367 |
| 93 | MYSSouth-eastern Asia | 0.366 |
| 94 | GMBWestern Africa | 0.364 |
| 95 | GUYSouth America | 0.352 |
| =96 | CPVWestern Africa | 0.350 |
| =96 | UKREastern Europe | 0.350 |
| 98 | QATWestern Asia | 0.349 |
| 99 | VUTMelanesia | 0.333 |
| 100 | CHLSouth America | 0.326 |
| 101 | LSOSouthern Africa | 0.324 |
| 102 | ARGSouth America | 0.320 |
| 103 | VNMSouth-eastern Asia | 0.319 |
| 104 | MNGEastern Asia | 0.312 |
| 105 | AREWestern Asia | 0.308 |
| 106 | NERWestern Africa | 0.302 |
| 107 | ALBSouthern Europe | 0.295 |
| 108 | TURWestern Asia | 0.294 |
| 109 | TZAEastern Africa | 0.286 |
| 110 | BRASouth America | 0.276 |
| 111 | MDVSouthern Asia | 0.271 |
| 112 | SENWestern Africa | 0.254 |
| 113 | KWTWestern Asia | 0.251 |
| 114 | MDAEastern Europe | 0.247 |
| 115 | JAMCaribbean | 0.241 |
| 116 | BFAWestern Africa | 0.239 |
| 117 | ARMWestern Asia | 0.235 |
| 118 | NPLSouthern Asia | 0.220 |
| 119 | ROUEastern Europe | 0.210 |
| 120 | MNESouthern Europe | 0.207 |
| =121 | GEOWestern Asia | 0.202 |
| =121 | MKDSouthern Europe | 0.202 |
| 123 | BWASouthern Africa | 0.194 |
| 124 | TUNNorthern Africa | 0.188 |
| 125 | ISRWestern Asia | 0.186 |
| 126 | TTOCaribbean | 0.183 |
| 127 | CUBCaribbean | 0.181 |
| 128 | SYCEastern Africa | 0.178 |
| 129 | GHAWestern Africa | 0.177 |
| 130 | SRBSouthern Europe | 0.176 |
| 131 | SVKEastern Europe | 0.175 |
| 132 | BTNSouthern Asia | 0.166 |
| 133 | BOLSouth America | 0.163 |
| 134 | GBRNorthern Europe | 0.157 |
| 135 | HRVSouthern Europe | 0.146 |
| 136 | NZLAustralia and New Zealand | 0.145 |
| 137 | HUNEastern Europe | 0.139 |
| 138 | HKGEastern Asia | 0.138 |
| 139 | BRBCaribbean | 0.133 |
| 140 | BGREastern Europe | 0.121 |
| 141 | MUSEastern Africa | 0.116 |
| =142 | CYPWestern Asia | 0.114 |
| =142 | PRTSouthern Europe | 0.114 |
| 144 | USANorthern America | 0.107 |
| 145 | CRICentral America | 0.097 |
| 146 | SVNSouthern Europe | 0.091 |
| 147 | KOREastern Asia | 0.088 |
| =148 | GRCSouthern Europe | 0.084 |
| =148 | MLTSouthern Europe | 0.084 |
| 150 | URYSouth America | 0.080 |
| 151 | IRLNorthern Europe | 0.074 |
| 152 | POLEastern Europe | 0.072 |
| =153 | CANNorthern America | 0.067 |
| =153 | LTUNorthern Europe | 0.067 |
| =155 | BELWestern Europe | 0.060 |
| =155 | ITASouthern Europe | 0.060 |
| 157 | ESPSouthern Europe | 0.059 |
| 158 | FRAWestern Europe | 0.053 |
| 159 | TWNEastern Asia | 0.040 |
| =160 | AUTWestern Europe | 0.038 |
| =160 | LUXWestern Europe | 0.038 |
| 162 | ISLNorthern Europe | 0.035 |
| =163 | BLREastern Europe | 0.032 |
| =163 | SWENorthern Europe | 0.032 |
| 165 | SGPSouth-eastern Asia | 0.031 |
| 166 | LVANorthern Europe | 0.030 |
| 167 | CZEEastern Europe | 0.029 |
| 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 |
| =172 | NLDWestern Europe | 0.017 |
| 174 | JPNEastern Asia | 0.015 |
| 175 | NORNorthern Europe | 0.014 |
| 176 | DNKNorthern Europe | 0.010 |
02In 2018
At either end
The 5 countries at each end of the headline.
Highest
- 1
Yemen0.982
- 2
South Sudan0.966
- 3
Tajikistan0.947
- 4
Somalia0.927
- 5
Haiti0.921
Lowest
- 176
Denmark0.010
- 175
Norway0.014
- 174
Japan0.015
- 172
Netherlandsshared0.017
- 172
Finlandshared0.017
A higher value is the worse result. The middle country reads 0.374. “Shared” marks a value another country also holds.
032017 → 2018
Since 2017
- +0 / −0countries joined / left
- 121values changed, of 176 in both
- 64 · 57rose · fell
- 55unchanged
Rose most
Eritrea0.552 → 0.609+0.057
Bangladesh0.858 → 0.893+0.035
Ecuador0.407 → 0.439+0.032
Venezuela0.423 → 0.454+0.031
Algeria0.342 → 0.372+0.030
Fell most
Armenia0.432 → 0.235−0.197
Malaysia0.433 → 0.366−0.067
North Macedonia0.238 → 0.202−0.036
Jordan0.400 → 0.367−0.033
Thailand0.401 → 0.373−0.028
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 2018.
154 distinct values among 176
Values are stored exactly as published, to 3 decimals. 3 countries share 0.426. 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-2018-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 (2018). Exclusion by Socio-Economic Group, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/socioeconomic-exclusion/2018
0634 held
Other years
‹ The year before
Exclusion by Socio-Economic Group, 2017176 countries
The year after ›
Exclusion by Socio-Economic Group, 2019176 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