Data for 1993
Judicial Constraints on the Executive Index, 1993
1993, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 1993 covers 171 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.616. Against 1992, 41 values changed (28 up, 13 down), 1 country joined.
Judicial Constraints on the Executive Index · Data for 1993
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, 1993, 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 | LTUNorthern Europe | 0.944 |
| =16 | USANorthern America | 0.944 |
| 18 | ISLNorthern Europe | 0.942 |
| 19 | CHLSouth America | 0.940 |
| 20 | CANNorthern America | 0.936 |
| 21 | BELWestern Europe | 0.933 |
| 22 | FRAWestern Europe | 0.926 |
| 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 | MDAEastern Europe | 0.870 |
| 40 | KOREastern Asia | 0.865 |
| 41 | GRCSouthern Europe | 0.864 |
| 42 | LUXWestern Europe | 0.863 |
| 43 | LVANorthern Europe | 0.862 |
| =44 | BGREastern Europe | 0.855 |
| =44 | ITASouthern Europe | 0.855 |
| 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 | SVKEastern Europe | 0.814 |
| 53 | INDSouthern Asia | 0.802 |
| 54 | NPLSouthern Asia | 0.788 |
| 55 | SLBMelanesia | 0.783 |
| 56 | STPMiddle Africa | 0.782 |
| 57 | GMBWestern Africa | 0.781 |
| 58 | SGPSouth-eastern Asia | 0.780 |
| 59 | VENSouth America | 0.769 |
| 60 | TZAEastern Africa | 0.758 |
| =61 | NERWestern Africa | 0.757 |
| =61 | THASouth-eastern Asia | 0.757 |
| 63 | MLIWestern Africa | 0.752 |
| =64 | GHAWestern Africa | 0.748 |
| =64 | KWTWestern Asia | 0.748 |
| 66 | MKDSouthern Europe | 0.746 |
| 67 | LSOSouthern Africa | 0.732 |
| 68 | TURWestern Asia | 0.730 |
| 69 | ZMBEastern Africa | 0.729 |
| 70 | LKASouthern Asia | 0.719 |
| =71 | BLREastern Europe | 0.717 |
| =71 | BTNSouthern Asia | 0.717 |
| =71 | MLTSouthern Europe | 0.717 |
| =74 | PHLSouth-eastern Asia | 0.707 |
| =74 | RWAEastern Africa | 0.707 |
| 76 | ZWEEastern Africa | 0.702 |
| 77 | MNGEastern Asia | 0.697 |
| 78 | GUYSouth America | 0.695 |
| 79 | LAOSouth-eastern Asia | 0.671 |
| 80 | CIVWestern Africa | 0.664 |
| 81 | BENWestern Africa | 0.658 |
| 82 | PANCentral America | 0.647 |
| 83 | EGYNorthern Africa | 0.645 |
| 84 | ALBSouthern Europe | 0.635 |
| 85 | SENWestern Africa | 0.634 |
| 86 | GTMCentral America | 0.616 |
| 87 | PRYSouth America | 0.600 |
| 88 | ARGSouth America | 0.599 |
| 89 | HNDCentral America | 0.597 |
| 90 | MOZEastern Africa | 0.595 |
| 91 | BDIEastern Africa | 0.570 |
| 92 | BOLSouth America | 0.558 |
| 93 | COGMiddle Africa | 0.555 |
| 94 | TWNEastern Asia | 0.548 |
| 95 | MYSSouth-eastern Asia | 0.545 |
| 96 | MARNorthern Africa | 0.515 |
| 97 | LBRWestern Africa | 0.510 |
| 98 | FJIMelanesia | 0.507 |
| 99 | ROUEastern Europe | 0.505 |
| 100 | SYCEastern Africa | 0.503 |
| 101 | JORWestern Asia | 0.498 |
| 102 | SWZSouthern Africa | 0.495 |
| 103 | MDGEastern Africa | 0.493 |
| 104 | PAKSouthern Asia | 0.489 |
| 105 | NICCentral America | 0.472 |
| 106 | BGDSouthern Asia | 0.471 |
| =107 | BFAWestern Africa | 0.468 |
| =107 | QATWestern Asia | 0.468 |
| 109 | SLVCentral America | 0.439 |
| 110 | UKREastern Europe | 0.406 |
| 111 | MWIEastern Africa | 0.401 |
| 112 | HRVSouthern Europe | 0.400 |
| 113 | KENEastern Africa | 0.393 |
| 114 | ECUSouth America | 0.382 |
| =115 | GABMiddle Africa | 0.380 |
| =115 | MEXCentral America | 0.380 |
| =115 | NGAWestern Africa | 0.380 |
| =115 | ZAFSouthern Africa | 0.380 |
| 119 | RUSEastern Europe | 0.374 |
| 120 | CAFMiddle Africa | 0.355 |
| 121 | ARMWestern Asia | 0.354 |
| 122 | COMEastern Africa | 0.338 |
| 123 | IRQWestern Asia | 0.334 |
| 124 | AGOMiddle Africa | 0.331 |
| 125 | YEMWestern Asia | 0.324 |
| 126 | GEOWestern Asia | 0.323 |
| 127 | SRBSouthern Europe | 0.319 |
| 128 | LBNWestern Asia | 0.313 |
| 129 | BIHSouthern Europe | 0.297 |
| 130 | UGAEastern Africa | 0.296 |
| =131 | DZANorthern Africa | 0.275 |
| =131 | CHNEastern Asia | 0.275 |
| 133 | DOMCaribbean | 0.267 |
| 134 | KAZCentral Asia | 0.239 |
| 135 | OMNWestern Asia | 0.238 |
| 136 | SAUWestern Asia | 0.226 |
| 137 | KGZCentral Asia | 0.218 |
| 138 | GNBWestern Africa | 0.217 |
| 139 | DJIEastern Africa | 0.198 |
| 140 | AZEWestern Asia | 0.197 |
| 141 | SomalilandXSLEastern Africa | 0.195 |
| 142 | TGOWestern Africa | 0.186 |
| 143 | ETHEastern Africa | 0.173 |
| 144 | AFGSouthern Asia | 0.172 |
| 145 | TCDMiddle Africa | 0.167 |
| =146 | GINWestern Africa | 0.146 |
| =146 | IRNSouthern Asia | 0.146 |
| 148 | SLEWestern Africa | 0.135 |
| 149 | LBYNorthern Africa | 0.129 |
| 150 | CMRMiddle Africa | 0.127 |
| 151 | KHMSouth-eastern Asia | 0.122 |
| 152 | AREWestern Asia | 0.115 |
| =153 | TJKCentral Asia | 0.108 |
| =153 | TUNNorthern Africa | 0.108 |
| 155 | CODMiddle Africa | 0.105 |
| 156 | HTICaribbean | 0.096 |
| 157 | CUBCaribbean | 0.093 |
| 158 | VNMSouth-eastern Asia | 0.090 |
| 159 | SOMEastern Africa | 0.071 |
| 160 | MRTWestern Africa | 0.065 |
| 161 | PERSouth America | 0.057 |
| 162 | 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 1993
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 0.616. “Shared” marks a value another country also holds.
031992 → 1993
Since 1992
What changed between 1992 and this one: who joined or left, and how far the headline moved.
- +1 / −0countries joined / left
- 41values changed, of 170 in both
- 28 · 13rose · fell
- 129unchanged
Rose most
Ghana0.523 → 0.748+0.225
Cambodia0.032 → 0.122+0.090
Central African Republic0.273 → 0.355+0.082
Lebanon0.259 → 0.313+0.054
Guinea-Bissau0.171 → 0.217+0.046
Fell most
Azerbaijan0.469 → 0.197−0.272
Peru0.174 → 0.057−0.117
Philippines0.777 → 0.707−0.070
Ecuador0.428 → 0.382−0.046
Paraguay0.633 → 0.600−0.033
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 1993.
153 distinct values among 171
Values are stored exactly as published, to 3 decimals. 4 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 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-1993-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 (1993). Judicial Constraints on the Executive Index, 1993 [data set], describing 1993. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/1993
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 1992170 countries
The year after ›
Judicial Constraints on the Executive Index, 1994171 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, 1993: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 1993?
Australia, at 0.990, of the 171 countries in the file.
What year does Judicial Constraints on the Executive Index, 1993 describe?
1993.
How many countries does Judicial Constraints on the Executive Index, 1993 cover?
171.
Where can I download Judicial Constraints on the Executive Index, 1993?
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, 1993 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.