Data for 2025
Meritocratic Appointment in the State Administration, 2025
2025, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
V-Dem's measure of meritocratic appointment asks whether people are hired, promoted and fired in a country's civil service on the strength of their skills and merit, or through personal and political connections. It is an expert-coded estimate on an open-ended scale centred near zero, and a higher figure means more appointments on merit.
Meritocratic Appointment in the State Administration, 2025 covers 176 countries. Singapore is highest, at 3.584; Belarus is lowest, at -2.442. The middle country reads 0.310. Against 2024, 64 values changed (32 up, 32 down), the same countries are covered.
Meritocratic Appointment in the State Administration · Data for 2025
HighestSingapore
3.584LowestBelarus
-2.442Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Meritocratic Appointment in the State Administration, 2025, 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 | SGPSouth-eastern Asia | 3.584 |
| 2 | ESTNorthern Europe | 2.768 |
| 3 | DEUWestern Europe | 2.743 |
| 4 | KOREastern Asia | 2.715 |
| 5 | DNKNorthern Europe | 2.691 |
| 6 | LUXWestern Europe | 2.374 |
| 7 | GBRNorthern Europe | 2.357 |
| 8 | NORNorthern Europe | 2.323 |
| 9 | CZEEastern Europe | 2.246 |
| 10 | LVANorthern Europe | 2.171 |
| 11 | AUSAustralia and New Zealand | 2.150 |
| 12 | NLDWestern Europe | 2.148 |
| 13 | ISRWestern Asia | 2.140 |
| 14 | IRLNorthern Europe | 2.051 |
| 15 | CHLSouth America | 2.012 |
| 16 | FRAWestern Europe | 1.985 |
| 17 | SWENorthern Europe | 1.959 |
| 18 | ISLNorthern Europe | 1.891 |
| 19 | URYSouth America | 1.824 |
| 20 | JPNEastern Asia | 1.737 |
| 21 | AREWestern Asia | 1.718 |
| 22 | USANorthern America | 1.717 |
| 23 | NZLAustralia and New Zealand | 1.677 |
| 24 | MNESouthern Europe | 1.669 |
| 25 | CANNorthern America | 1.660 |
| 26 | HKGEastern Asia | 1.617 |
| 27 | BTNSouthern Asia | 1.613 |
| 28 | TWNEastern Asia | 1.536 |
| 29 | FINNorthern Europe | 1.520 |
| 30 | MDVSouthern Asia | 1.503 |
| 31 | ESPSouthern Europe | 1.501 |
| 32 | LTUNorthern Europe | 1.450 |
| 33 | SYCEastern Africa | 1.401 |
| 34 | BELWestern Europe | 1.399 |
| 35 | MYSSouth-eastern Asia | 1.368 |
| 36 | THASouth-eastern Asia | 1.366 |
| 37 | CHEWestern Europe | 1.363 |
| 38 | BRASouth America | 1.345 |
| 39 | CRICentral America | 1.325 |
| 40 | AUTWestern Europe | 1.302 |
| 41 | GMBWestern Africa | 1.270 |
| 42 | LKASouthern Asia | 1.225 |
| 43 | BRBCaribbean | 1.201 |
| 44 | PRKEastern Asia | 1.188 |
| 45 | GRCSouthern Europe | 1.156 |
| 46 | JAMCaribbean | 1.137 |
| 47 | CYPWestern Asia | 1.097 |
| 48 | SVNSouthern Europe | 1.085 |
| 49 | ITASouthern Europe | 1.036 |
| 50 | MLTSouthern Europe | 1.029 |
| 51 | NERWestern Africa | 0.994 |
| 52 | FJIMelanesia | 0.966 |
| 53 | BIHSouthern Europe | 0.935 |
| 54 | BENWestern Africa | 0.925 |
| 55 | NPLSouthern Asia | 0.877 |
| 56 | ZMBEastern Africa | 0.876 |
| 57 | INDSouthern Asia | 0.867 |
| 58 | NGAWestern Africa | 0.854 |
| 59 | NAMSouthern Africa | 0.847 |
| 60 | BFAWestern Africa | 0.811 |
| 61 | MARNorthern Africa | 0.755 |
| 62 | SLBMelanesia | 0.754 |
| 63 | PHLSouth-eastern Asia | 0.710 |
| 64 | SENWestern Africa | 0.696 |
| =65 | POLEastern Europe | 0.669 |
| =65 | ZAFSouthern Africa | 0.669 |
| 67 | VUTMelanesia | 0.651 |
| 68 | ARGSouth America | 0.649 |
| 69 | PNGMelanesia | 0.639 |
| 70 | SRBSouthern Europe | 0.625 |
| 71 | BWASouthern Africa | 0.599 |
| 72 | DOMCaribbean | 0.575 |
| 73 | COLSouth America | 0.570 |
| 74 | BGDSouthern Asia | 0.517 |
| 75 | TZAEastern Africa | 0.515 |
| 76 | JORWestern Asia | 0.510 |
| 77 | HUNEastern Europe | 0.508 |
| 78 | XKXSouthern Europe | 0.490 |
| 79 | MUSEastern Africa | 0.449 |
| 80 | GTMCentral America | 0.431 |
| 81 | PANCentral America | 0.418 |
| 82 | KENEastern Africa | 0.393 |
| 83 | OMNWestern Asia | 0.385 |
| 84 | RUSEastern Europe | 0.376 |
| 85 | MLIWestern Africa | 0.361 |
| 86 | IRNSouthern Asia | 0.352 |
| 87 | ZWEEastern Africa | 0.327 |
| 88 | CHNEastern Asia | 0.321 |
| 89 | PERSouth America | 0.298 |
| 90 | TUNNorthern Africa | 0.252 |
| 91 | KAZCentral Asia | 0.251 |
| 92 | KGZCentral Asia | 0.244 |
| 93 | MWIEastern Africa | 0.240 |
| 94 | DZANorthern Africa | 0.209 |
| 95 | COMEastern Africa | 0.184 |
| 96 | PAKSouthern Asia | 0.183 |
| 97 | LSOSouthern Africa | 0.170 |
| 98 | BGREastern Europe | 0.169 |
| 99 | TLSSouth-eastern Asia | 0.139 |
| 100 | VNMSouth-eastern Asia | 0.138 |
| 101 | SomalilandXSLEastern Africa | 0.116 |
| 102 | RWAEastern Africa | 0.108 |
| 103 | ROUEastern Europe | 0.094 |
| 104 | SURSouth America | 0.059 |
| 105 | BOLSouth America | 0.055 |
| 106 | TTOCaribbean | 0.046 |
| 107 | TGOWestern Africa | 0.041 |
| 108 | KWTWestern Asia | -0.016 |
| 109 | GHAWestern Africa | -0.051 |
| 110 | SWZSouthern Africa | -0.062 |
| =111 | DJIEastern Africa | -0.098 |
| =111 | UGAEastern Africa | -0.098 |
| 113 | LBRWestern Africa | -0.123 |
| 114 | IDNSouth-eastern Asia | -0.140 |
| 115 | PRTSouthern Europe | -0.143 |
| 116 | CPVWestern Africa | -0.174 |
| 117 | SVKEastern Europe | -0.181 |
| 118 | SAUWestern Asia | -0.246 |
| 119 | BHRWestern Asia | -0.275 |
| 120 | HRVSouthern Europe | -0.278 |
| 121 | UZBCentral Asia | -0.281 |
| 122 | COGMiddle Africa | -0.287 |
| 123 | HNDCentral America | -0.307 |
| 124 | GABMiddle Africa | -0.337 |
| 125 | EGYNorthern Africa | -0.373 |
| 126 | HTICaribbean | -0.379 |
| 127 | MEXCentral America | -0.401 |
| 128 | STPMiddle Africa | -0.431 |
| 129 | SYRWestern Asia | -0.437 |
| 130 | SLEWestern Africa | -0.454 |
| 131 | GUYSouth America | -0.462 |
| 132 | MKDSouthern Europe | -0.463 |
| 133 | LAOSouth-eastern Asia | -0.485 |
| 134 | GEOWestern Asia | -0.507 |
| 135 | ALBSouthern Europe | -0.513 |
| 136 | MDGEastern Africa | -0.551 |
| 137 | MOZEastern Africa | -0.594 |
| 138 | LBNWestern Asia | -0.595 |
| 139 | AGOMiddle Africa | -0.663 |
| 140 | MDAEastern Europe | -0.673 |
| 141 | GNBWestern Africa | -0.688 |
| 142 | IRQWestern Asia | -0.690 |
| 143 | MRTWestern Africa | -0.708 |
| 144 | ETHEastern Africa | -0.728 |
| 145 | KHMSouth-eastern Asia | -0.735 |
| 146 | TURWestern Asia | -0.815 |
| 147 | CODMiddle Africa | -0.896 |
| 148 | PRYSouth America | -0.902 |
| 149 | ARMWestern Asia | -0.952 |
| 150 | MMRSouth-eastern Asia | -1.006 |
| 151 | MNGEastern Asia | -1.071 |
| 152 | GINWestern Africa | -1.117 |
| 153 | UKREastern Europe | -1.166 |
| 154 | SOMEastern Africa | -1.174 |
| 155 | CAFMiddle Africa | -1.218 |
| 156 | TJKCentral Asia | -1.259 |
| 157 | CMRMiddle Africa | -1.276 |
| 158 | AFGSouthern Asia | -1.278 |
| 159 | SSDEastern Africa | -1.337 |
| 160 | AZEWestern Asia | -1.352 |
| 161 | TKMCentral Asia | -1.361 |
| 162 | YEMWestern Asia | -1.382 |
| 163 | QATWestern Asia | -1.605 |
| 164 | GNQMiddle Africa | -1.616 |
| 165 | CUBCaribbean | -1.660 |
| 166 | BDIEastern Africa | -1.676 |
| 167 | CIVWestern Africa | -1.696 |
| 168 | VENSouth America | -1.698 |
| 169 | SLVCentral America | -1.711 |
| 170 | ECUSouth America | -1.776 |
| 171 | SDNNorthern Africa | -1.780 |
| 172 | NICCentral America | -1.859 |
| 173 | TCDMiddle Africa | -1.894 |
| 174 | ERIEastern Africa | -2.169 |
| 175 | LBYNorthern Africa | -2.358 |
| 176 | BLREastern Europe | -2.442 |
02In 2025
At either end
The 5 countries at each end of the headline.
032024 → 2025
Since 2024
- +0 / −0countries joined / left
- 64values changed, of 176 in both
- 32 · 32rose · fell
- 112unchanged
Rose most
Fell most
Bulgaria1.487 → 0.169−1.318
Bangladesh1.735 → 0.517−1.218
Côte d’Ivoire-0.528 → -1.696−1.168
Chad-0.769 → -1.894−1.125
Sri Lanka2.111 → 1.225−0.886
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 2025.
174 distinct values among 176
Values are stored exactly as published, to 3 decimals. 2 countries share 0.669. 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 · 4.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download meritocratic-appointment-2025-nations-inquiry.csv - ↗
The publisher’s original
V-Dem Institute’s own file, on its own site.
V-Dem-CY-FullOthers-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 (2025). Meritocratic Appointment in the State Administration, 2025 [data set], describing 2025. As held by Nations Inquiry, https://nationsinquiry.com/datasets/meritocratic-appointment/2025
0636 held
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Meritocratic Appointment in the State Administration: every year36 held, with the data dictionary, coverage and licence.
How it has moved, charted by country