Data for 1997
Judicial Constraints on the Executive Index, 1997
1997, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 1997 covers 171 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.602. Against 1996, 28 values changed (11 up, 17 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 1997
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, 1997, 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 | POLEastern Europe | 0.960 |
| 10 | PRTSouthern Europe | 0.955 |
| =11 | ESTNorthern Europe | 0.952 |
| =11 | DEUWestern Europe | 0.952 |
| =11 | IRLNorthern Europe | 0.952 |
| 14 | NLDWestern Europe | 0.949 |
| 15 | CRICentral America | 0.947 |
| =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 | LVANorthern Europe | 0.917 |
| 25 | AUTWestern Europe | 0.914 |
| 26 | BRBCaribbean | 0.912 |
| 27 | BWASouthern Africa | 0.911 |
| 28 | HUNEastern Europe | 0.910 |
| 29 | GBRNorthern Europe | 0.909 |
| =30 | ISRWestern Asia | 0.904 |
| =30 | SVNSouthern Europe | 0.904 |
| 32 | NAMSouthern Africa | 0.896 |
| =33 | CZEEastern Europe | 0.892 |
| =33 | URYSouth America | 0.892 |
| 35 | JAMCaribbean | 0.883 |
| 36 | JPNEastern Asia | 0.882 |
| 37 | KOREastern Asia | 0.881 |
| 38 | VUTMelanesia | 0.878 |
| 39 | SURSouth America | 0.872 |
| 40 | GRCSouthern Europe | 0.864 |
| 41 | LUXWestern Europe | 0.863 |
| 42 | HKGEastern Asia | 0.862 |
| 43 | ZAFSouthern Africa | 0.856 |
| 44 | BGREastern Europe | 0.855 |
| 45 | ITASouthern Europe | 0.854 |
| 46 | PNGMelanesia | 0.834 |
| 47 | TURWestern Asia | 0.829 |
| 48 | TTOCaribbean | 0.827 |
| 49 | BRASouth America | 0.825 |
| 50 | GHAWestern Africa | 0.824 |
| =51 | CYPWestern Asia | 0.821 |
| =51 | MUSEastern Africa | 0.821 |
| 53 | INDSouthern Asia | 0.819 |
| 54 | COLSouth America | 0.815 |
| 55 | NPLSouthern Asia | 0.797 |
| 56 | SLBMelanesia | 0.783 |
| 57 | STPMiddle Africa | 0.782 |
| 58 | SGPSouth-eastern Asia | 0.780 |
| 59 | MNGEastern Asia | 0.778 |
| 60 | TZAEastern Africa | 0.768 |
| 61 | MWIEastern Africa | 0.761 |
| 62 | THASouth-eastern Asia | 0.757 |
| 63 | LSOSouthern Africa | 0.751 |
| 64 | KWTWestern Asia | 0.748 |
| 65 | MDAEastern Europe | 0.746 |
| 66 | MLIWestern Africa | 0.738 |
| 67 | GUYSouth America | 0.731 |
| =68 | MKDSouthern Europe | 0.729 |
| =68 | 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 | PHLSouth-eastern Asia | 0.707 |
| 75 | ZWEEastern Africa | 0.702 |
| 76 | VENSouth America | 0.684 |
| 77 | CIVWestern Africa | 0.672 |
| 78 | LAOSouth-eastern Asia | 0.671 |
| 79 | BENWestern Africa | 0.658 |
| 80 | EGYNorthern Africa | 0.645 |
| 81 | PANCentral America | 0.642 |
| 82 | ALBSouthern Europe | 0.635 |
| 83 | SENWestern Africa | 0.634 |
| 84 | NERWestern Africa | 0.609 |
| 85 | MOZEastern Africa | 0.603 |
| 86 | GTMCentral America | 0.602 |
| 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 | MYSSouth-eastern Asia | 0.545 |
| 94 | BOLSouth America | 0.543 |
| 95 | MARNorthern Africa | 0.538 |
| 96 | QATWestern Asia | 0.513 |
| 97 | FJIMelanesia | 0.507 |
| 98 | BIHSouthern Europe | 0.506 |
| 99 | ROUEastern Europe | 0.505 |
| 100 | SYCEastern Africa | 0.503 |
| 101 | JORWestern Asia | 0.498 |
| 102 | BGDSouthern Asia | 0.487 |
| 103 | GNBWestern Africa | 0.474 |
| 104 | BFAWestern Africa | 0.468 |
| 105 | SLVCentral America | 0.461 |
| 106 | SWZSouthern Africa | 0.451 |
| 107 | DOMCaribbean | 0.448 |
| 108 | HRVSouthern Europe | 0.419 |
| 109 | PAKSouthern Asia | 0.412 |
| 110 | ECUSouth America | 0.407 |
| 111 | GEOWestern Asia | 0.398 |
| 112 | KENEastern Africa | 0.393 |
| 113 | MDGEastern Africa | 0.387 |
| =114 | GABMiddle Africa | 0.380 |
| =114 | NGAWestern Africa | 0.380 |
| 116 | CAFMiddle Africa | 0.369 |
| 117 | HTICaribbean | 0.366 |
| 118 | UGAEastern Africa | 0.352 |
| 119 | COMEastern Africa | 0.336 |
| 120 | IRQWestern Asia | 0.334 |
| 121 | AGOMiddle Africa | 0.331 |
| 122 | GMBWestern Africa | 0.323 |
| 123 | RUSEastern Europe | 0.321 |
| 124 | SRBSouthern Europe | 0.319 |
| 125 | UKREastern Europe | 0.318 |
| 126 | ARMWestern Asia | 0.315 |
| 127 | LBNWestern Asia | 0.313 |
| 128 | YEMWestern Asia | 0.300 |
| 129 | NICCentral America | 0.277 |
| =130 | DZANorthern Africa | 0.275 |
| =130 | CHNEastern Asia | 0.275 |
| 132 | SLEWestern Africa | 0.267 |
| 133 | RWAEastern Africa | 0.263 |
| 134 | OMNWestern Asia | 0.254 |
| =135 | KGZCentral Asia | 0.226 |
| =135 | SAUWestern Asia | 0.226 |
| 137 | SomalilandXSLEastern Africa | 0.207 |
| 138 | LBRWestern Africa | 0.201 |
| 139 | DJIEastern Africa | 0.198 |
| 140 | AFGSouthern Asia | 0.196 |
| 141 | AREWestern Asia | 0.183 |
| 142 | ETHEastern Africa | 0.173 |
| 143 | TGOWestern Africa | 0.170 |
| 144 | TCDMiddle Africa | 0.167 |
| 145 | GINWestern Africa | 0.166 |
| 146 | KHMSouth-eastern Asia | 0.145 |
| =147 | IRNSouthern Asia | 0.129 |
| =147 | LBYNorthern Africa | 0.129 |
| 149 | CMRMiddle Africa | 0.127 |
| 150 | COGMiddle Africa | 0.123 |
| 151 | TUNNorthern Africa | 0.108 |
| 152 | KAZCentral Asia | 0.105 |
| =153 | CUBCaribbean | 0.093 |
| =153 | MRTWestern Africa | 0.093 |
| 155 | VNMSouth-eastern Asia | 0.090 |
| 156 | CODMiddle Africa | 0.076 |
| 157 | TJKCentral Asia | 0.074 |
| 158 | SOMEastern Africa | 0.071 |
| 159 | PERSouth America | 0.058 |
| =160 | AZEWestern Asia | 0.055 |
| =160 | GNQMiddle Africa | 0.055 |
| =162 | BLREastern Europe | 0.053 |
| =162 | 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 1997
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 0.602. “Shared” marks a value another country also holds.
031996 → 1997
Since 1996
What changed between 1996 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 28values changed, of 171 in both
- 11 · 17rose · fell
- 143unchanged
Rose most
Dominican Republic0.285 → 0.448+0.163
Türkiye0.757 → 0.829+0.072
Ecuador0.360 → 0.407+0.047
Afghanistan0.156 → 0.196+0.040
Bosnia and Herzegovina0.481 → 0.506+0.025
Fell most
Republic of the Congo0.555 → 0.123−0.432
Sierra Leone0.411 → 0.267−0.144
Belarus0.167 → 0.053−0.114
Liberia0.294 → 0.201−0.093
Niger0.690 → 0.609−0.081
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 1997.
154 distinct values among 171
Values are stored exactly as published, to 3 decimals. 3 countries share 0.952. 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-1997-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 (1997). Judicial Constraints on the Executive Index, 1997 [data set], describing 1997. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/1997
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 1996171 countries
The year after ›
Judicial Constraints on the Executive Index, 1998172 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, 1997: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 1997?
Australia, at 0.990, of the 171 countries in the file.
What year does Judicial Constraints on the Executive Index, 1997 describe?
1997.
How many countries does Judicial Constraints on the Executive Index, 1997 cover?
171.
Where can I download Judicial Constraints on the Executive Index, 1997?
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, 1997 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.