Data for 2016
Meritocratic Appointment in the State Administration, 2016
2016, 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, 2016 covers 176 countries. Singapore is highest, at 3.447; Eritrea is lowest, at -2.150. The middle country reads 0.358. Against 2015, 19 values changed (10 up, 9 down), the same countries are covered.
Meritocratic Appointment in the State Administration · Data for 2016
HighestSingapore
3.447LowestEritrea
-2.150Shaded 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, 2016, 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 | 3.447 |
| 2 | LUXWestern Europe | 2.773 |
| 3 | ESTNorthern Europe | 2.768 |
| 4 | DNKNorthern Europe | 2.691 |
| 5 | GBRNorthern Europe | 2.357 |
| 6 | KOREastern Asia | 2.340 |
| 7 | NORNorthern Europe | 2.323 |
| 8 | ESPSouthern Europe | 2.222 |
| 9 | DEUWestern Europe | 2.152 |
| 10 | NZLAustralia and New Zealand | 2.149 |
| 11 | NLDWestern Europe | 2.148 |
| 12 | AUSAustralia and New Zealand | 2.126 |
| 13 | HKGEastern Asia | 2.117 |
| 14 | IRLNorthern Europe | 2.051 |
| 15 | FRAWestern Europe | 1.985 |
| 16 | LVANorthern Europe | 1.969 |
| 17 | SWENorthern Europe | 1.959 |
| 18 | USANorthern America | 1.924 |
| 19 | LKASouthern Asia | 1.908 |
| 20 | BTNSouthern Asia | 1.847 |
| 21 | ISRWestern Asia | 1.844 |
| 22 | URYSouth America | 1.804 |
| 23 | JPNEastern Asia | 1.737 |
| 24 | PRTSouthern Europe | 1.727 |
| 25 | TWNEastern Asia | 1.721 |
| 26 | CZEEastern Europe | 1.682 |
| 27 | ITASouthern Europe | 1.597 |
| 28 | IDNSouth-eastern Asia | 1.582 |
| 29 | ISLNorthern Europe | 1.552 |
| 30 | FINNorthern Europe | 1.520 |
| 31 | CANNorthern America | 1.505 |
| 32 | SYCEastern Africa | 1.491 |
| 33 | CHLSouth America | 1.444 |
| 34 | BELWestern Europe | 1.399 |
| 35 | CHEWestern Europe | 1.363 |
| 36 | SVNSouthern Europe | 1.332 |
| 37 | CRICentral America | 1.324 |
| 38 | BRASouth America | 1.297 |
| 39 | CYPWestern Asia | 1.262 |
| 40 | LTUNorthern Europe | 1.257 |
| 41 | PHLSouth-eastern Asia | 1.240 |
| 42 | INDSouthern Asia | 1.228 |
| 43 | BRBCaribbean | 1.201 |
| 44 | JAMCaribbean | 1.137 |
| 45 | THASouth-eastern Asia | 1.135 |
| 46 | AREWestern Asia | 1.125 |
| 47 | HUNEastern Europe | 1.104 |
| 48 | AUTWestern Europe | 1.086 |
| 49 | PNGMelanesia | 1.034 |
| 50 | BWASouthern Africa | 1.016 |
| 51 | MNESouthern Europe | 0.984 |
| 52 | NPLSouthern Asia | 0.968 |
| 53 | SVKEastern Europe | 0.944 |
| 54 | MLTSouthern Europe | 0.943 |
| 55 | MMRSouth-eastern Asia | 0.931 |
| 56 | ARGSouth America | 0.906 |
| 57 | BIHSouthern Europe | 0.896 |
| 58 | COLSouth America | 0.876 |
| 59 | VUTMelanesia | 0.802 |
| 60 | TZAEastern Africa | 0.772 |
| 61 | NGAWestern Africa | 0.755 |
| 62 | MYSSouth-eastern Asia | 0.742 |
| 63 | NAMSouthern Africa | 0.736 |
| 64 | CHNEastern Asia | 0.713 |
| 65 | BGDSouthern Asia | 0.711 |
| 66 | MWIEastern Africa | 0.696 |
| 67 | ZAFSouthern Africa | 0.694 |
| 68 | MARNorthern Africa | 0.655 |
| 69 | TTOCaribbean | 0.611 |
| 70 | OMNWestern Asia | 0.607 |
| =71 | BFAWestern Africa | 0.573 |
| =71 | KENEastern Africa | 0.573 |
| 73 | MUSEastern Africa | 0.566 |
| 74 | GHAWestern Africa | 0.556 |
| 75 | SLBMelanesia | 0.544 |
| 76 | IRNSouthern Asia | 0.537 |
| 77 | ZWEEastern Africa | 0.510 |
| 78 | MDVSouthern Asia | 0.508 |
| 79 | BENWestern Africa | 0.499 |
| 80 | RUSEastern Europe | 0.498 |
| 81 | PERSouth America | 0.473 |
| 82 | COMEastern Africa | 0.471 |
| 83 | UGAEastern Africa | 0.467 |
| 84 | GRCSouthern Europe | 0.426 |
| 85 | PANCentral America | 0.418 |
| 86 | XKXSouthern Europe | 0.410 |
| 87 | RWAEastern Africa | 0.390 |
| 88 | TUNNorthern Africa | 0.365 |
| 89 | VNMSouth-eastern Asia | 0.350 |
| 90 | ZMBEastern Africa | 0.326 |
| 91 | PRKEastern Asia | 0.325 |
| 92 | POLEastern Europe | 0.300 |
| 93 | GUYSouth America | 0.298 |
| 94 | MEXCentral America | 0.296 |
| 95 | PAKSouthern Asia | 0.286 |
| 96 | KGZCentral Asia | 0.282 |
| 97 | JORWestern Asia | 0.270 |
| 98 | SRBSouthern Europe | 0.250 |
| 99 | SLVCentral America | 0.238 |
| 100 | AFGSouthern Asia | 0.215 |
| 101 | DZANorthern Africa | 0.202 |
| 102 | BOLSouth America | 0.160 |
| 103 | ECUSouth America | 0.128 |
| 104 | SENWestern Africa | 0.115 |
| 105 | CIVWestern Africa | 0.095 |
| 106 | DOMCaribbean | 0.090 |
| 107 | BGREastern Europe | 0.054 |
| =108 | KWTWestern Asia | 0.034 |
| =108 | LSOSouthern Africa | 0.034 |
| 110 | ROUEastern Europe | 0.029 |
| 111 | COGMiddle Africa | -0.052 |
| 112 | MDGEastern Africa | -0.054 |
| 113 | SomalilandXSLEastern Africa | -0.078 |
| 114 | PRYSouth America | -0.099 |
| 115 | GEOWestern Asia | -0.149 |
| 116 | LBNWestern Asia | -0.157 |
| 117 | BHRWestern Asia | -0.166 |
| 118 | CPVWestern Africa | -0.174 |
| 119 | HRVSouthern Europe | -0.175 |
| 120 | MOZEastern Africa | -0.182 |
| 121 | LBRWestern Africa | -0.189 |
| 122 | FJIMelanesia | -0.204 |
| 123 | ALBSouthern Europe | -0.219 |
| 124 | SURSouth America | -0.236 |
| 125 | KAZCentral Asia | -0.266 |
| 126 | MNGEastern Asia | -0.299 |
| 127 | GABMiddle Africa | -0.316 |
| 128 | NICCentral America | -0.343 |
| 129 | GTMCentral America | -0.345 |
| 130 | SLEWestern Africa | -0.399 |
| 131 | MLIWestern Africa | -0.406 |
| 132 | BLREastern Europe | -0.408 |
| 133 | GMBWestern Africa | -0.435 |
| 134 | IRQWestern Asia | -0.462 |
| 135 | MKDSouthern Europe | -0.485 |
| 136 | LAOSouth-eastern Asia | -0.486 |
| 137 | STPMiddle Africa | -0.506 |
| 138 | TURWestern Asia | -0.551 |
| 139 | SDNNorthern Africa | -0.556 |
| 140 | SWZSouthern Africa | -0.603 |
| 141 | AGOMiddle Africa | -0.609 |
| 142 | SAUWestern Asia | -0.630 |
| 143 | GINWestern Africa | -0.664 |
| 144 | UZBCentral Asia | -0.674 |
| 145 | HNDCentral America | -0.686 |
| 146 | NERWestern Africa | -0.724 |
| 147 | ARMWestern Asia | -0.725 |
| 148 | TCDMiddle Africa | -0.769 |
| 149 | TGOWestern Africa | -0.817 |
| 150 | HTICaribbean | -0.834 |
| 151 | CMRMiddle Africa | -0.850 |
| 152 | MDAEastern Europe | -0.892 |
| 153 | DJIEastern Africa | -0.903 |
| 154 | SOMEastern Africa | -0.996 |
| 155 | EGYNorthern Africa | -1.050 |
| 156 | QATWestern Asia | -1.096 |
| 157 | TLSSouth-eastern Asia | -1.130 |
| 158 | ETHEastern Africa | -1.167 |
| 159 | CAFMiddle Africa | -1.218 |
| 160 | GNBWestern Africa | -1.278 |
| 161 | MRTWestern Africa | -1.310 |
| 162 | TKMCentral Asia | -1.337 |
| 163 | UKREastern Europe | -1.450 |
| 164 | KHMSouth-eastern Asia | -1.512 |
| 165 | YEMWestern Asia | -1.525 |
| 166 | CUBCaribbean | -1.568 |
| 167 | VENSouth America | -1.604 |
| 168 | BDIEastern Africa | -1.676 |
| 169 | CODMiddle Africa | -1.738 |
| 170 | LBYNorthern Africa | -1.867 |
| 171 | GNQMiddle Africa | -1.898 |
| 172 | TJKCentral Asia | -1.907 |
| 173 | SSDEastern Africa | -1.909 |
| 174 | AZEWestern Asia | -1.964 |
| 175 | SYRWestern Asia | -1.986 |
| 176 | ERIEastern Africa | -2.150 |
02In 2016
At either end
The 5 countries at each end of the headline.
Highest
- 1
Singapore3.447
- 2
Luxembourg2.773
- 3
Estonia2.768
- 4
Denmark2.691
- 5
United Kingdom2.357
Lowest
- 176
Eritrea-2.150
- 175
Syria-1.986
- 174
Azerbaijan-1.964
- 173
South Sudan-1.909
- 172
Tajikistan-1.907
A higher value is the better result. The middle country reads 0.358. “Shared” marks a value another country also holds.
032015 → 2016
Since 2015
- +0 / −0countries joined / left
- 19values changed, of 176 in both
- 10 · 9rose · fell
- 157unchanged
Rose most
Sri Lanka1.197 → 1.908+0.711
Bosnia and Herzegovina0.478 → 0.896+0.418
North Korea-0.069 → 0.325+0.394
Benin0.131 → 0.499+0.368
Myanmar0.574 → 0.931+0.357
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 2016.
174 distinct values among 176
Values are stored exactly as published, to 3 decimals. 2 countries share 0.573. 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-2016-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 (2016). Meritocratic Appointment in the State Administration, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/meritocratic-appointment/2016
0636 held
Other years
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Meritocratic Appointment in the State Administration, 2015176 countries
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Meritocratic Appointment in the State Administration, 2017176 countries
All of them
Meritocratic Appointment in the State Administration: every year36 held, with the data dictionary, coverage and licence.
How it has moved, charted by country