Data for 1995
Judicial Constraints on the Executive Index, 1995
1995, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 1995 covers 171 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.603. Against 1994, 32 values changed (16 up, 16 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 1995
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, 1995, 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 171 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 | ESTNorthern Europe | 0.956 |
| 12 | PRTSouthern Europe | 0.953 |
| =13 | DEUWestern Europe | 0.952 |
| =13 | IRLNorthern Europe | 0.952 |
| 15 | NLDWestern Europe | 0.949 |
| =16 | FRAWestern Europe | 0.944 |
| =16 | USANorthern America | 0.944 |
| =18 | ISLNorthern Europe | 0.942 |
| =18 | LTUNorthern Europe | 0.942 |
| 20 | CHLSouth America | 0.940 |
| 21 | CANNorthern America | 0.936 |
| 22 | BELWestern Europe | 0.933 |
| 23 | CPVWestern Africa | 0.920 |
| 24 | AUTWestern Europe | 0.914 |
| 25 | BRBCaribbean | 0.912 |
| 26 | BWASouthern Africa | 0.911 |
| 27 | HUNEastern Europe | 0.910 |
| 28 | GBRNorthern Europe | 0.909 |
| 29 | URYSouth America | 0.908 |
| =30 | ISRWestern Asia | 0.904 |
| =30 | SVNSouthern Europe | 0.904 |
| 32 | NAMSouthern Africa | 0.896 |
| 33 | CZEEastern Europe | 0.892 |
| 34 | JAMCaribbean | 0.883 |
| 35 | JPNEastern Asia | 0.882 |
| 36 | VUTMelanesia | 0.878 |
| 37 | HKGEastern Asia | 0.877 |
| 38 | SURSouth America | 0.872 |
| 39 | LVANorthern Europe | 0.867 |
| 40 | KOREastern Asia | 0.865 |
| 41 | GRCSouthern Europe | 0.864 |
| 42 | LUXWestern Europe | 0.863 |
| 43 | BGREastern Europe | 0.855 |
| 44 | ITASouthern Europe | 0.854 |
| 45 | ZAFSouthern Africa | 0.846 |
| 46 | PNGMelanesia | 0.834 |
| 47 | TTOCaribbean | 0.827 |
| 48 | BRASouth America | 0.825 |
| =49 | CYPWestern Asia | 0.821 |
| =49 | MUSEastern Africa | 0.821 |
| 51 | COLSouth America | 0.815 |
| 52 | INDSouthern Asia | 0.802 |
| 53 | SLBMelanesia | 0.783 |
| =54 | NPLSouthern Asia | 0.782 |
| =54 | STPMiddle Africa | 0.782 |
| 56 | SGPSouth-eastern Asia | 0.780 |
| 57 | TZAEastern Africa | 0.768 |
| =58 | GHAWestern Africa | 0.761 |
| =58 | MWIEastern Africa | 0.761 |
| =60 | NERWestern Africa | 0.757 |
| =60 | THASouth-eastern Asia | 0.757 |
| 62 | MNGEastern Asia | 0.752 |
| 63 | KWTWestern Asia | 0.748 |
| =64 | MDAEastern Europe | 0.746 |
| =64 | MKDSouthern Europe | 0.746 |
| 66 | MLIWestern Africa | 0.738 |
| 67 | LSOSouthern Africa | 0.733 |
| 68 | TURWestern Asia | 0.730 |
| 69 | ZMBEastern Africa | 0.729 |
| 70 | SVKEastern Europe | 0.725 |
| 71 | LKASouthern Asia | 0.719 |
| =72 | BTNSouthern Asia | 0.717 |
| =72 | MLTSouthern Europe | 0.717 |
| 74 | GUYSouth America | 0.714 |
| 75 | PHLSouth-eastern Asia | 0.707 |
| 76 | ZWEEastern Africa | 0.702 |
| 77 | VENSouth America | 0.684 |
| 78 | LAOSouth-eastern Asia | 0.671 |
| 79 | GTMCentral America | 0.661 |
| 80 | BENWestern Africa | 0.658 |
| 81 | CIVWestern Africa | 0.657 |
| 82 | EGYNorthern Africa | 0.645 |
| 83 | PANCentral America | 0.642 |
| 84 | ALBSouthern Europe | 0.635 |
| 85 | SENWestern Africa | 0.634 |
| 86 | MOZEastern Africa | 0.603 |
| 87 | PRYSouth America | 0.600 |
| 88 | HNDCentral America | 0.597 |
| 89 | ARGSouth America | 0.588 |
| 90 | MEXCentral America | 0.573 |
| 91 | TWNEastern Asia | 0.569 |
| 92 | BDIEastern Africa | 0.566 |
| 93 | COGMiddle Africa | 0.555 |
| 94 | MYSSouth-eastern Asia | 0.545 |
| 95 | BOLSouth America | 0.543 |
| 96 | MARNorthern Africa | 0.538 |
| 97 | BLREastern Europe | 0.529 |
| 98 | FJIMelanesia | 0.507 |
| 99 | ROUEastern Europe | 0.505 |
| 100 | SYCEastern Africa | 0.503 |
| 101 | JORWestern Asia | 0.498 |
| 102 | LBRWestern Africa | 0.495 |
| 103 | PAKSouthern Asia | 0.485 |
| 104 | GNBWestern Africa | 0.474 |
| 105 | NICCentral America | 0.472 |
| 106 | BGDSouthern Asia | 0.471 |
| =107 | BFAWestern Africa | 0.468 |
| =107 | QATWestern Asia | 0.468 |
| 109 | SLVCentral America | 0.461 |
| 110 | SWZSouthern Africa | 0.451 |
| 111 | UKREastern Europe | 0.406 |
| 112 | MDGEastern Africa | 0.401 |
| 113 | HRVSouthern Europe | 0.398 |
| 114 | KENEastern Africa | 0.393 |
| 115 | ECUSouth America | 0.382 |
| =116 | GABMiddle Africa | 0.380 |
| =116 | NGAWestern Africa | 0.380 |
| 118 | GEOWestern Asia | 0.370 |
| 119 | CAFMiddle Africa | 0.369 |
| 120 | HTICaribbean | 0.353 |
| 121 | UGAEastern Africa | 0.351 |
| 122 | RUSEastern Europe | 0.340 |
| 123 | ARMWestern Asia | 0.337 |
| 124 | IRQWestern Asia | 0.334 |
| 125 | AGOMiddle Africa | 0.331 |
| =126 | COMEastern Africa | 0.323 |
| =126 | GMBWestern Africa | 0.323 |
| 128 | SRBSouthern Europe | 0.319 |
| 129 | LBNWestern Asia | 0.313 |
| 130 | YEMWestern Asia | 0.300 |
| 131 | BIHSouthern Europe | 0.297 |
| =132 | DZANorthern Africa | 0.275 |
| =132 | CHNEastern Asia | 0.275 |
| 134 | RWAEastern Africa | 0.263 |
| 135 | KGZCentral Asia | 0.239 |
| 136 | OMNWestern Asia | 0.238 |
| 137 | DOMCaribbean | 0.232 |
| 138 | SAUWestern Asia | 0.226 |
| 139 | SomalilandXSLEastern Africa | 0.207 |
| 140 | DJIEastern Africa | 0.198 |
| 141 | KAZCentral Asia | 0.186 |
| 142 | ETHEastern Africa | 0.173 |
| 143 | AREWestern Asia | 0.171 |
| 144 | TGOWestern Africa | 0.170 |
| 145 | TCDMiddle Africa | 0.167 |
| 146 | GINWestern Africa | 0.166 |
| 147 | AFGSouthern Asia | 0.159 |
| 148 | IRNSouthern Asia | 0.146 |
| 149 | KHMSouth-eastern Asia | 0.145 |
| 150 | SLEWestern Africa | 0.135 |
| 151 | LBYNorthern Africa | 0.129 |
| 152 | CMRMiddle Africa | 0.127 |
| 153 | TUNNorthern Africa | 0.108 |
| 154 | CODMiddle Africa | 0.105 |
| 155 | CUBCaribbean | 0.093 |
| 156 | VNMSouth-eastern Asia | 0.090 |
| 157 | TJKCentral Asia | 0.085 |
| 158 | SOMEastern Africa | 0.071 |
| 159 | MRTWestern Africa | 0.065 |
| 160 | PERSouth America | 0.057 |
| =161 | AZEWestern Asia | 0.055 |
| =161 | GNQMiddle Africa | 0.055 |
| 163 | IDNSouth-eastern Asia | 0.053 |
| 164 | SYRWestern Asia | 0.052 |
| 165 | ERIEastern Africa | 0.044 |
| 166 | MDVSouthern Asia | 0.043 |
| 167 | MMRSouth-eastern Asia | 0.037 |
| 168 | TKMCentral Asia | 0.029 |
| 169 | SDNNorthern Africa | 0.021 |
| 170 | UZBCentral Asia | 0.019 |
| 171 | PRKEastern Asia | 0.004 |
02In 1995
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
- 171
North Korea0.004
- 170
Uzbekistan0.019
- 169
Sudan0.021
- 168
Turkmenistan0.029
- 167
Myanmar0.037
A higher value is the better result. The middle country reads 0.603. “Shared” marks a value another country also holds.
031994 → 1995
Since 1994
What changed between 1994 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 32values changed, of 171 in both
- 16 · 16rose · fell
- 139unchanged
Rose most
Haiti0.110 → 0.353+0.243
South Africa0.677 → 0.846+0.169
Malawi0.598 → 0.761+0.163
Guinea-Bissau0.376 → 0.474+0.098
Uganda0.296 → 0.351+0.055
Fell most
Rwanda0.491 → 0.263−0.228
Gambia0.438 → 0.323−0.115
Madagascar0.493 → 0.401−0.092
Belarus0.600 → 0.529−0.071
Moldova0.808 → 0.746−0.062
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 1995.
155 distinct values among 171
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 171 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
171 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-1995-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 (1995). Judicial Constraints on the Executive Index, 1995 [data set], describing 1995. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/1995
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 1994171 countries
The year after ›
Judicial Constraints on the Executive Index, 1996171 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
07Questions
Judicial Constraints on the Executive Index, 1995: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 1995?
Australia, at 0.990, of the 171 countries in the file.
What year does Judicial Constraints on the Executive Index, 1995 describe?
1995.
How many countries does Judicial Constraints on the Executive Index, 1995 cover?
171.
Where can I download Judicial Constraints on the Executive Index, 1995?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Judicial Constraints on the Executive Index, 1995 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.