Data for 2000
Judicial Constraints on the Executive Index, 2000
2000, 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, 2000 covers 174 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.647. Against 1999, 66 values changed (38 up, 28 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2000
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, 2000, 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 174 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 | LTUNorthern Europe | 0.964 |
| 10 | POLEastern Europe | 0.960 |
| 11 | PRTSouthern Europe | 0.955 |
| 12 | USANorthern America | 0.954 |
| 13 | ESTNorthern Europe | 0.953 |
| =14 | DEUWestern Europe | 0.952 |
| =14 | IRLNorthern Europe | 0.952 |
| 16 | CRICentral America | 0.950 |
| 17 | NLDWestern Europe | 0.949 |
| 18 | FRAWestern Europe | 0.944 |
| 19 | ISLNorthern Europe | 0.942 |
| 20 | CHLSouth America | 0.940 |
| 21 | CANNorthern America | 0.936 |
| 22 | BELWestern Europe | 0.933 |
| 23 | CPVWestern Africa | 0.920 |
| 24 | LVANorthern Europe | 0.917 |
| 25 | AUTWestern Europe | 0.914 |
| 26 | BRBCaribbean | 0.912 |
| 27 | HUNEastern Europe | 0.910 |
| 28 | GBRNorthern Europe | 0.909 |
| 29 | ISRWestern Asia | 0.904 |
| 30 | NAMSouthern Africa | 0.896 |
| 31 | CZEEastern Europe | 0.892 |
| 32 | URYSouth America | 0.891 |
| 33 | BWASouthern Africa | 0.889 |
| 34 | KOREastern Asia | 0.886 |
| 35 | JAMCaribbean | 0.883 |
| 36 | JPNEastern Asia | 0.882 |
| 37 | VUTMelanesia | 0.878 |
| 38 | SVKEastern Europe | 0.877 |
| 39 | MUSEastern Africa | 0.873 |
| 40 | SURSouth America | 0.872 |
| 41 | GRCSouthern Europe | 0.864 |
| 42 | LUXWestern Europe | 0.863 |
| 43 | HKGEastern Asia | 0.862 |
| 44 | ZAFSouthern Africa | 0.856 |
| =45 | BGREastern Europe | 0.855 |
| =45 | CYPWestern Asia | 0.855 |
| 47 | ITASouthern Europe | 0.854 |
| 48 | SVNSouthern Europe | 0.853 |
| 49 | TWNEastern Asia | 0.846 |
| 50 | PNGMelanesia | 0.834 |
| 51 | GHAWestern Africa | 0.831 |
| 52 | TTOCaribbean | 0.827 |
| 53 | BRASouth America | 0.825 |
| 54 | INDSouthern Asia | 0.819 |
| 55 | TLSSouth-eastern Asia | 0.817 |
| =56 | COLSouth America | 0.815 |
| =56 | TURWestern Asia | 0.815 |
| 58 | NPLSouthern Asia | 0.806 |
| 59 | SGPSouth-eastern Asia | 0.797 |
| 60 | SLBMelanesia | 0.783 |
| 61 | MNGEastern Asia | 0.774 |
| 62 | XKXSouthern Europe | 0.772 |
| 63 | TZAEastern Africa | 0.768 |
| 64 | MWIEastern Africa | 0.761 |
| 65 | THASouth-eastern Asia | 0.757 |
| 66 | LSOSouthern Africa | 0.751 |
| 67 | KWTWestern Asia | 0.748 |
| 68 | HRVSouthern Europe | 0.744 |
| 69 | IDNSouth-eastern Asia | 0.740 |
| 70 | MDAEastern Europe | 0.739 |
| =71 | MLIWestern Africa | 0.738 |
| =71 | STPMiddle Africa | 0.738 |
| 73 | ZMBEastern Africa | 0.729 |
| 74 | MEXCentral America | 0.723 |
| 75 | LKASouthern Asia | 0.719 |
| 76 | ARGSouth America | 0.718 |
| =77 | MLTSouthern Europe | 0.717 |
| =77 | MNESouthern Europe | 0.717 |
| 79 | MOZEastern Africa | 0.715 |
| 80 | BTNSouthern Asia | 0.707 |
| 81 | GUYSouth America | 0.705 |
| =82 | CIVWestern Africa | 0.685 |
| =82 | PHLSouth-eastern Asia | 0.685 |
| 84 | MKDSouthern Europe | 0.676 |
| 85 | LAOSouth-eastern Asia | 0.671 |
| 86 | BENWestern Africa | 0.658 |
| 87 | HNDCentral America | 0.648 |
| 88 | EGYNorthern Africa | 0.645 |
| 89 | PANCentral America | 0.642 |
| 90 | NERWestern Africa | 0.635 |
| 91 | SENWestern Africa | 0.634 |
| 92 | GTMCentral America | 0.624 |
| 93 | ALBSouthern Europe | 0.621 |
| 94 | PRYSouth America | 0.589 |
| 95 | BDIEastern Africa | 0.566 |
| 96 | MYSSouth-eastern Asia | 0.545 |
| 97 | BOLSouth America | 0.543 |
| 98 | SLVCentral America | 0.522 |
| =99 | BFAWestern Africa | 0.512 |
| =99 | FJIMelanesia | 0.512 |
| 101 | MARNorthern Africa | 0.508 |
| 102 | ROUEastern Europe | 0.507 |
| 103 | SYCEastern Africa | 0.503 |
| =104 | BGDSouthern Asia | 0.500 |
| =104 | NGAWestern Africa | 0.500 |
| 106 | JORWestern Asia | 0.498 |
| 107 | BIHSouthern Europe | 0.493 |
| 108 | QATWestern Asia | 0.477 |
| 109 | ZWEEastern Africa | 0.472 |
| 110 | SRBSouthern Europe | 0.459 |
| 111 | KENEastern Africa | 0.441 |
| 112 | PAKSouthern Asia | 0.433 |
| 113 | GNBWestern Africa | 0.431 |
| 114 | DOMCaribbean | 0.429 |
| 115 | SLEWestern Africa | 0.420 |
| 116 | OMNWestern Asia | 0.410 |
| 117 | SWZSouthern Africa | 0.404 |
| 118 | GEOWestern Asia | 0.393 |
| 119 | MDGEastern Africa | 0.373 |
| 120 | CAFMiddle Africa | 0.369 |
| 121 | HTICaribbean | 0.366 |
| 122 | ECUSouth America | 0.355 |
| 123 | GABMiddle Africa | 0.348 |
| 124 | AGOMiddle Africa | 0.337 |
| 125 | IRQWestern Asia | 0.334 |
| 126 | VENSouth America | 0.329 |
| 127 | UGAEastern Africa | 0.328 |
| 128 | LBNWestern Asia | 0.323 |
| 129 | GMBWestern Africa | 0.318 |
| 130 | YEMWestern Asia | 0.300 |
| 131 | COMEastern Africa | 0.298 |
| 132 | NICCentral America | 0.288 |
| 133 | CHNEastern Asia | 0.275 |
| 134 | UKREastern Europe | 0.261 |
| 135 | ARMWestern Asia | 0.247 |
| 136 | CODMiddle Africa | 0.242 |
| 137 | RWAEastern Africa | 0.237 |
| =138 | KGZCentral Asia | 0.226 |
| =138 | SAUWestern Asia | 0.226 |
| 140 | RUSEastern Europe | 0.224 |
| 141 | DJIEastern Africa | 0.223 |
| 142 | LBRWestern Africa | 0.215 |
| 143 | SomalilandXSLEastern Africa | 0.207 |
| 144 | AFGSouthern Asia | 0.196 |
| 145 | TGOWestern Africa | 0.184 |
| 146 | AREWestern Asia | 0.183 |
| 147 | ETHEastern Africa | 0.173 |
| 148 | TCDMiddle Africa | 0.167 |
| 149 | DZANorthern Africa | 0.163 |
| 150 | IRNSouthern Asia | 0.153 |
| 151 | GINWestern Africa | 0.148 |
| 152 | LBYNorthern Africa | 0.129 |
| 153 | CMRMiddle Africa | 0.127 |
| 154 | COGMiddle Africa | 0.123 |
| 155 | KHMSouth-eastern Asia | 0.122 |
| 156 | TUNNorthern Africa | 0.108 |
| 157 | PERSouth America | 0.105 |
| =158 | KAZCentral Asia | 0.094 |
| =158 | SYRWestern Asia | 0.094 |
| =160 | CUBCaribbean | 0.093 |
| =160 | MRTWestern Africa | 0.093 |
| 162 | VNMSouth-eastern Asia | 0.090 |
| 163 | SOMEastern Africa | 0.081 |
| 164 | TJKCentral Asia | 0.061 |
| 165 | GNQMiddle Africa | 0.053 |
| 166 | BLREastern Europe | 0.049 |
| 167 | AZEWestern Asia | 0.046 |
| 168 | ERIEastern Africa | 0.044 |
| 169 | MDVSouthern Asia | 0.043 |
| 170 | MMRSouth-eastern Asia | 0.037 |
| 171 | TKMCentral Asia | 0.029 |
| 172 | SDNNorthern Africa | 0.021 |
| 173 | UZBCentral Asia | 0.016 |
| 174 | PRKEastern Asia | 0.004 |
02In 2000
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
- 174
North Korea0.004
- 173
Uzbekistan0.016
- 172
Sudan0.021
- 171
Turkmenistan0.029
- 170
Myanmar0.037
A higher value is the better result. The middle country reads 0.647. “Shared” marks a value another country also holds.
031999 → 2000
Since 1999
What changed between 1999 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 66values changed, of 174 in both
- 38 · 28rose · fell
- 108unchanged
Rose most
Fell most
Venezuela0.576 → 0.329−0.247
Zimbabwe0.702 → 0.472−0.230
Russia0.315 → 0.224−0.091
North Macedonia0.753 → 0.676−0.077
Slovenia0.904 → 0.853−0.051
Both years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
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 2000.
162 distinct values among 174
Values are stored exactly as published, to 3 decimals. 2 countries share 0.968. 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 174 countries has every column.
05The 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
174 rows · 4.7 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download judicial-constraints-2000-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 (2000). Judicial Constraints on the Executive Index, 2000 [data set], describing 2000. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2000
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 1999174 countries
The year after ›
Judicial Constraints on the Executive Index, 2001174 countries
All of them
Judicial Constraints on the Executive Index: every year36 held, with the data dictionary, coverage and licence.
How it has moved, charted by country