Data for 1999
Judicial Constraints on the Executive Index, 1999
1999, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 1999 covers 174 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.635. Against 1998, 24 values changed (12 up, 12 down), 2 countries joined.
Judicial Constraints on the Executive Index · Data for 1999
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, 1999, 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 | 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 | CRICentral America | 0.950 |
| 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 | LVANorthern Europe | 0.917 |
| 25 | AUTWestern Europe | 0.914 |
| 26 | BRBCaribbean | 0.912 |
| 27 | HUNEastern Europe | 0.910 |
| 28 | GBRNorthern Europe | 0.909 |
| 29 | URYSouth America | 0.906 |
| =30 | ISRWestern Asia | 0.904 |
| =30 | SVNSouthern Europe | 0.904 |
| 32 | NAMSouthern Africa | 0.896 |
| 33 | CZEEastern Europe | 0.892 |
| 34 | BWASouthern Africa | 0.889 |
| 35 | KOREastern Asia | 0.886 |
| 36 | JAMCaribbean | 0.883 |
| 37 | JPNEastern Asia | 0.882 |
| 38 | VUTMelanesia | 0.878 |
| 39 | SVKEastern Europe | 0.877 |
| 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 |
| 46 | ITASouthern Europe | 0.854 |
| 47 | PNGMelanesia | 0.834 |
| 48 | CYPWestern Asia | 0.829 |
| 49 | TTOCaribbean | 0.827 |
| 50 | BRASouth America | 0.825 |
| 51 | GHAWestern Africa | 0.824 |
| 52 | TLSSouth-eastern Asia | 0.823 |
| 53 | MUSEastern Africa | 0.821 |
| 54 | INDSouthern Asia | 0.819 |
| =55 | COLSouth America | 0.815 |
| =55 | TURWestern Asia | 0.815 |
| 57 | NPLSouthern Asia | 0.797 |
| 58 | SLBMelanesia | 0.783 |
| 59 | STPMiddle Africa | 0.781 |
| 60 | SGPSouth-eastern Asia | 0.780 |
| 61 | MNGEastern Asia | 0.778 |
| 62 | TZAEastern Africa | 0.768 |
| 63 | MWIEastern Africa | 0.761 |
| 64 | THASouth-eastern Asia | 0.757 |
| 65 | MKDSouthern Europe | 0.753 |
| 66 | LSOSouthern Africa | 0.751 |
| 67 | KWTWestern Asia | 0.748 |
| 68 | MDAEastern Europe | 0.746 |
| 69 | MLIWestern Africa | 0.738 |
| 70 | ZMBEastern Africa | 0.729 |
| 71 | LKASouthern Asia | 0.719 |
| =72 | MLTSouthern Europe | 0.717 |
| =72 | MNESouthern Europe | 0.717 |
| 74 | PHLSouth-eastern Asia | 0.715 |
| =75 | IDNSouth-eastern Asia | 0.702 |
| =75 | ZWEEastern Africa | 0.702 |
| 77 | BTNSouthern Asia | 0.692 |
| 78 | XKXSouthern Europe | 0.691 |
| 79 | CIVWestern Africa | 0.681 |
| =80 | LAOSouth-eastern Asia | 0.671 |
| =80 | NERWestern Africa | 0.671 |
| 82 | GUYSouth America | 0.669 |
| 83 | BENWestern Africa | 0.658 |
| 84 | HNDCentral America | 0.648 |
| 85 | EGYNorthern Africa | 0.645 |
| 86 | PANCentral America | 0.642 |
| 87 | ALBSouthern Europe | 0.636 |
| 88 | SENWestern Africa | 0.634 |
| 89 | GTMCentral America | 0.616 |
| 90 | ARGSouth America | 0.615 |
| 91 | MOZEastern Africa | 0.603 |
| 92 | PRYSouth America | 0.589 |
| 93 | VENSouth America | 0.576 |
| 94 | MEXCentral America | 0.573 |
| 95 | TWNEastern Asia | 0.569 |
| 96 | BDIEastern Africa | 0.566 |
| 97 | MYSSouth-eastern Asia | 0.545 |
| 98 | BOLSouth America | 0.543 |
| 99 | MARNorthern Africa | 0.538 |
| 100 | BIHSouthern Europe | 0.514 |
| 101 | QATWestern Asia | 0.513 |
| 102 | BFAWestern Africa | 0.512 |
| 103 | FJIMelanesia | 0.507 |
| 104 | SYCEastern Africa | 0.503 |
| 105 | NGAWestern Africa | 0.500 |
| 106 | JORWestern Asia | 0.498 |
| 107 | SLVCentral America | 0.490 |
| =108 | BGDSouthern Asia | 0.487 |
| =108 | ROUEastern Europe | 0.487 |
| 110 | DOMCaribbean | 0.452 |
| 111 | GNBWestern Africa | 0.430 |
| 112 | GEOWestern Asia | 0.421 |
| 113 | HRVSouthern Europe | 0.419 |
| 114 | KENEastern Africa | 0.410 |
| 115 | SWZSouthern Africa | 0.404 |
| 116 | ECUSouth America | 0.402 |
| 117 | SLEWestern Africa | 0.383 |
| 118 | GABMiddle Africa | 0.380 |
| 119 | MDGEastern Africa | 0.373 |
| 120 | CAFMiddle Africa | 0.369 |
| 121 | HTICaribbean | 0.366 |
| 122 | PAKSouthern Asia | 0.364 |
| 123 | UGAEastern Africa | 0.352 |
| 124 | IRQWestern Asia | 0.334 |
| 125 | AGOMiddle Africa | 0.331 |
| =126 | COMEastern Africa | 0.319 |
| =126 | SRBSouthern Europe | 0.319 |
| 128 | GMBWestern Africa | 0.318 |
| 129 | RUSEastern Europe | 0.315 |
| 130 | LBNWestern Asia | 0.313 |
| 131 | YEMWestern Asia | 0.300 |
| 132 | UKREastern Europe | 0.296 |
| 133 | NICCentral America | 0.277 |
| 134 | CHNEastern Asia | 0.275 |
| 135 | RWAEastern Africa | 0.263 |
| 136 | OMNWestern Asia | 0.254 |
| 137 | ARMWestern Asia | 0.234 |
| =138 | KGZCentral Asia | 0.226 |
| =138 | SAUWestern Asia | 0.226 |
| 140 | DJIEastern Africa | 0.223 |
| 141 | SomalilandXSLEastern Africa | 0.207 |
| 142 | LBRWestern Africa | 0.201 |
| 143 | AFGSouthern Asia | 0.196 |
| 144 | TGOWestern Africa | 0.184 |
| 145 | AREWestern Asia | 0.183 |
| 146 | ETHEastern Africa | 0.173 |
| 147 | TCDMiddle Africa | 0.167 |
| 148 | GINWestern Africa | 0.166 |
| 149 | DZANorthern Africa | 0.163 |
| 150 | IRNSouthern Asia | 0.153 |
| 151 | CODMiddle Africa | 0.144 |
| 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 | KAZCentral Asia | 0.105 |
| =158 | CUBCaribbean | 0.093 |
| =158 | MRTWestern Africa | 0.093 |
| 160 | VNMSouth-eastern Asia | 0.090 |
| 161 | TJKCentral Asia | 0.073 |
| 162 | SOMEastern Africa | 0.071 |
| 163 | GNQMiddle Africa | 0.055 |
| =164 | PERSouth America | 0.052 |
| =164 | SYRWestern Asia | 0.052 |
| 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 1999
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 0.635. “Shared” marks a value another country also holds.
031998 → 1999
Since 1998
What changed between 1998 and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 24values changed, of 172 in both
- 12 · 12rose · fell
- 148unchanged
Rose most
Fell most
Algeria0.275 → 0.163−0.112
Venezuela0.646 → 0.576−0.070
Pakistan0.412 → 0.364−0.048
Guinea-Bissau0.474 → 0.430−0.044
Armenia0.260 → 0.234−0.026
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 1999.
159 distinct values among 174
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 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-1999-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 (1999). Judicial Constraints on the Executive Index, 1999 [data set], describing 1999. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/1999
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 1998172 countries
The year after ›
Judicial Constraints on the Executive Index, 2000174 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, 1999: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 1999?
Australia, at 0.990, of the 174 countries in the file.
What year does Judicial Constraints on the Executive Index, 1999 describe?
1999.
How many countries does Judicial Constraints on the Executive Index, 1999 cover?
174.
Where can I download Judicial Constraints on the Executive Index, 1999?
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, 1999 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.