Data for 1990
Judicial Constraints on the Executive Index, 1990
1990, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
V-Dem's Judicial Constraints on the Executive Index asks whether a government respects the constitution, obeys court rulings, and faces judges — at the highest court and below — who decide independently of it. It runs from 0 to 1, and a higher figure means the executive is more firmly bound by the courts.
Judicial Constraints on the Executive Index, 1990 covers 166 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.571.
Judicial Constraints on the Executive Index · Data for 1990
HighestAustralia
0.990LowestNorth Korea
0.004Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Judicial Constraints on the Executive Index, 1990, 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 166 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | AUSAustralia and New Zealand | 0.990 |
| 2 | DNKNorthern Europe | 0.988 |
| 3 | CHEWestern Europe | 0.987 |
| 4 | NORNorthern Europe | 0.984 |
| 5 | NZLAustralia and New Zealand | 0.974 |
| 6 | SWENorthern Europe | 0.973 |
| =7 | FINNorthern Europe | 0.968 |
| =7 | ESPSouthern Europe | 0.968 |
| 9 | CRICentral America | 0.966 |
| 10 | POLEastern Europe | 0.960 |
| 11 | PRTSouthern Europe | 0.953 |
| 12 | DEUWestern Europe | 0.952 |
| 13 | NLDWestern Europe | 0.949 |
| =14 | FRAWestern Europe | 0.945 |
| =14 | IRLNorthern Europe | 0.945 |
| 16 | USANorthern America | 0.944 |
| 17 | ISLNorthern Europe | 0.942 |
| 18 | ESTNorthern Europe | 0.939 |
| 19 | CANNorthern America | 0.936 |
| 20 | BELWestern Europe | 0.931 |
| 21 | CHLSouth America | 0.915 |
| 22 | AUTWestern Europe | 0.914 |
| 23 | LTUNorthern Europe | 0.913 |
| 24 | BRBCaribbean | 0.912 |
| 25 | BWASouthern Africa | 0.911 |
| 26 | GBRNorthern Europe | 0.909 |
| 27 | URYSouth America | 0.908 |
| 28 | ISRWestern Asia | 0.904 |
| 29 | HUNEastern Europe | 0.902 |
| 30 | NAMSouthern Africa | 0.896 |
| 31 | CZEEastern Europe | 0.887 |
| 32 | JAMCaribbean | 0.883 |
| 33 | JPNEastern Asia | 0.882 |
| 34 | VUTMelanesia | 0.878 |
| 35 | HKGEastern Asia | 0.877 |
| 36 | GRCSouthern Europe | 0.864 |
| =37 | LUXWestern Europe | 0.863 |
| =37 | MDAEastern Europe | 0.863 |
| 39 | LVANorthern Europe | 0.857 |
| 40 | ITASouthern Europe | 0.855 |
| 41 | KOREastern Asia | 0.835 |
| =42 | PNGMelanesia | 0.834 |
| =42 | SURSouth America | 0.834 |
| 44 | TTOCaribbean | 0.827 |
| =45 | CYPWestern Asia | 0.821 |
| =45 | MUSEastern Africa | 0.821 |
| 47 | BRASouth America | 0.819 |
| 48 | CPVWestern Africa | 0.818 |
| 49 | INDSouthern Asia | 0.802 |
| 50 | SVNSouthern Europe | 0.801 |
| 51 | SLBMelanesia | 0.783 |
| 52 | GMBWestern Africa | 0.781 |
| 53 | SGPSouth-eastern Asia | 0.780 |
| 54 | PHLSouth-eastern Asia | 0.770 |
| 55 | THASouth-eastern Asia | 0.764 |
| 56 | TZAEastern Africa | 0.758 |
| 57 | TURWestern Asia | 0.730 |
| 58 | KWTWestern Asia | 0.723 |
| 59 | LKASouthern Asia | 0.719 |
| 60 | PANCentral America | 0.718 |
| =61 | BTNSouthern Asia | 0.717 |
| =61 | MLTSouthern Europe | 0.717 |
| 63 | ZWEEastern Africa | 0.702 |
| 64 | GUYSouth America | 0.695 |
| 65 | LSOSouthern Africa | 0.688 |
| 66 | BLREastern Europe | 0.686 |
| 67 | LAOSouth-eastern Asia | 0.680 |
| 68 | BGREastern Europe | 0.679 |
| 69 | STPMiddle Africa | 0.672 |
| 70 | VENSouth America | 0.667 |
| =71 | NPLSouthern Asia | 0.665 |
| =71 | NERWestern Africa | 0.665 |
| 73 | RWAEastern Africa | 0.657 |
| 74 | EGYNorthern Africa | 0.645 |
| 75 | MNGEastern Asia | 0.642 |
| 76 | CIVWestern Africa | 0.641 |
| 77 | COLSouth America | 0.639 |
| 78 | SENWestern Africa | 0.634 |
| 79 | GTMCentral America | 0.616 |
| 80 | HNDCentral America | 0.598 |
| 81 | MLIWestern Africa | 0.588 |
| 82 | ARGSouth America | 0.585 |
| 83 | ZMBEastern Africa | 0.583 |
| 84 | BOLSouth America | 0.558 |
| 85 | BENWestern Africa | 0.546 |
| 86 | MYSSouth-eastern Asia | 0.545 |
| 87 | MOZEastern Africa | 0.526 |
| 88 | GHAWestern Africa | 0.516 |
| 89 | MARNorthern Africa | 0.515 |
| 90 | FJIMelanesia | 0.507 |
| 91 | BDIEastern Africa | 0.502 |
| 92 | JORWestern Asia | 0.498 |
| 93 | SWZSouthern Africa | 0.495 |
| 94 | TWNEastern Asia | 0.474 |
| 95 | QATWestern Asia | 0.468 |
| 96 | NICCentral America | 0.461 |
| 97 | PAKSouthern Asia | 0.456 |
| 98 | UKREastern Europe | 0.452 |
| 99 | BGDSouthern Asia | 0.451 |
| 100 | SYCEastern Africa | 0.450 |
| 101 | ECUSouth America | 0.428 |
| 102 | PERSouth America | 0.415 |
| 103 | MWIEastern Africa | 0.409 |
| =104 | BFAWestern Africa | 0.384 |
| =104 | KENEastern Africa | 0.384 |
| 106 | GABMiddle Africa | 0.381 |
| =107 | MEXCentral America | 0.380 |
| =107 | NGAWestern Africa | 0.380 |
| =107 | ZAFSouthern Africa | 0.380 |
| 110 | ARMWestern Asia | 0.374 |
| 111 | SLVCentral America | 0.360 |
| 112 | ALBSouthern Europe | 0.354 |
| 113 | COMEastern Africa | 0.335 |
| 114 | IRQWestern Asia | 0.334 |
| 115 | SLEWestern Africa | 0.310 |
| 116 | SRBSouthern Europe | 0.308 |
| 117 | GEOWestern Asia | 0.304 |
| 118 | AGOMiddle Africa | 0.302 |
| 119 | ROUEastern Europe | 0.300 |
| 120 | UGAEastern Africa | 0.296 |
| 121 | DZANorthern Africa | 0.278 |
| =122 | CHNEastern Asia | 0.275 |
| =122 | MDGEastern Africa | 0.275 |
| 124 | CAFMiddle Africa | 0.273 |
| 125 | YEMWestern Asia | 0.272 |
| 126 | DOMCaribbean | 0.267 |
| 127 | LBNWestern Asia | 0.259 |
| 128 | PRYSouth America | 0.250 |
| =129 | DJIEastern Africa | 0.238 |
| =129 | KAZCentral Asia | 0.238 |
| =129 | OMNWestern Asia | 0.238 |
| 132 | KGZCentral Asia | 0.234 |
| 133 | SAUWestern Asia | 0.226 |
| 134 | LBRWestern Africa | 0.222 |
| 135 | TJKCentral Asia | 0.201 |
| 136 | HTICaribbean | 0.175 |
| 137 | AFGSouthern Asia | 0.174 |
| 138 | GNBWestern Africa | 0.171 |
| 139 | AZEWestern Asia | 0.169 |
| 140 | COGMiddle Africa | 0.154 |
| 141 | IRNSouthern Asia | 0.146 |
| 142 | GINWestern Africa | 0.132 |
| 143 | LBYNorthern Africa | 0.129 |
| =144 | CMRMiddle Africa | 0.127 |
| =144 | TCDMiddle Africa | 0.127 |
| 146 | AREWestern Asia | 0.115 |
| 147 | TUNNorthern Africa | 0.108 |
| 148 | CODMiddle Africa | 0.105 |
| 149 | SOMEastern Africa | 0.102 |
| 150 | CUBCaribbean | 0.093 |
| 151 | VNMSouth-eastern Asia | 0.090 |
| 152 | ETHEastern Africa | 0.081 |
| =153 | GNQMiddle Africa | 0.055 |
| =153 | MRTWestern Africa | 0.055 |
| =155 | IDNSouth-eastern Asia | 0.052 |
| =155 | SYRWestern Asia | 0.052 |
| =157 | RUSEastern Europe | 0.051 |
| =157 | TGOWestern Africa | 0.051 |
| 159 | UZBCentral Asia | 0.046 |
| 160 | MDVSouthern Asia | 0.043 |
| 161 | MMRSouth-eastern Asia | 0.037 |
| 162 | TKMCentral Asia | 0.036 |
| 163 | ERIEastern Africa | 0.032 |
| 164 | SDNNorthern Africa | 0.021 |
| 165 | KHMSouth-eastern Asia | 0.020 |
| 166 | PRKEastern Asia | 0.004 |
02In 1990
At either end
The 5 countries at each end of the headline.
Highest
- 1
Australia0.990
- 2
Denmark0.988
- 3
Switzerland0.987
- 4
Norway0.984
- 5
New Zealand0.974
Lowest
- 166
North Korea0.004
- 165
Cambodia0.020
- 164
Sudan0.021
- 163
Eritrea0.032
- 162
Turkmenistan0.036
A higher value is the better result. The middle country reads 0.571. “Shared” marks a value another country also holds.
03Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2026 release
Every year in this series comes from V-Dem Institute’s 2026 release, recalculated on one method. It can differ from what was first published for 1990.
149 distinct values among 166
Values are stored exactly as published, to 3 decimals. 3 countries share 0.380. Countries sharing a value share a position too.
The position is ours
V-Dem Institute publishes values only; the order is this site’s.
Nothing missing
Every one of the 166 countries has every column.
04The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
166 rows · 4.6 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download judicial-constraints-1990-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 into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY-SA 4.0 · what it allows, in plain words
Cite this edition
V-Dem Institute, University of Gothenburg (1990). Judicial Constraints on the Executive Index, 1990 [data set], describing 1990. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/1990
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