Data for 1998
Judicial Constraints on the Executive Index, 1998
1998, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 1998 covers 172 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.603. Against 1997, 34 values changed (19 up, 15 down), 1 country joined.
Judicial Constraints on the Executive Index · Data for 1998
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, 1998, 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 172 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 | BWASouthern Africa | 0.911 |
| 28 | HUNEastern Europe | 0.910 |
| 29 | GBRNorthern Europe | 0.909 |
| 30 | URYSouth America | 0.906 |
| =31 | ISRWestern Asia | 0.904 |
| =31 | SVNSouthern Europe | 0.904 |
| 33 | NAMSouthern Africa | 0.896 |
| 34 | CZEEastern Europe | 0.892 |
| 35 | KOREastern Asia | 0.886 |
| 36 | JAMCaribbean | 0.883 |
| 37 | JPNEastern Asia | 0.882 |
| 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 | SVKEastern Europe | 0.832 |
| 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 |
| =54 | TURWestern Asia | 0.815 |
| 56 | NPLSouthern Asia | 0.797 |
| 57 | SLBMelanesia | 0.783 |
| 58 | STPMiddle Africa | 0.782 |
| 59 | SGPSouth-eastern Asia | 0.780 |
| 60 | MNGEastern Asia | 0.778 |
| 61 | TZAEastern Africa | 0.768 |
| 62 | MWIEastern Africa | 0.761 |
| 63 | THASouth-eastern Asia | 0.757 |
| 64 | MKDSouthern Europe | 0.753 |
| 65 | LSOSouthern Africa | 0.751 |
| 66 | KWTWestern Asia | 0.748 |
| 67 | MDAEastern Europe | 0.746 |
| 68 | MLIWestern Africa | 0.738 |
| 69 | ZMBEastern Africa | 0.729 |
| 70 | LKASouthern Asia | 0.719 |
| =71 | MLTSouthern Europe | 0.717 |
| =71 | MNESouthern Europe | 0.717 |
| 73 | PHLSouth-eastern Asia | 0.707 |
| 74 | ZWEEastern Africa | 0.702 |
| 75 | BTNSouthern Asia | 0.692 |
| 76 | CIVWestern Africa | 0.680 |
| 77 | LAOSouth-eastern Asia | 0.671 |
| 78 | GUYSouth America | 0.669 |
| 79 | BENWestern Africa | 0.658 |
| 80 | VENSouth America | 0.646 |
| 81 | EGYNorthern Africa | 0.645 |
| 82 | PANCentral America | 0.642 |
| 83 | ALBSouthern Europe | 0.636 |
| 84 | SENWestern Africa | 0.634 |
| 85 | NERWestern Africa | 0.609 |
| 86 | MOZEastern Africa | 0.603 |
| 87 | GTMCentral America | 0.602 |
| 88 | PRYSouth America | 0.600 |
| 89 | HNDCentral America | 0.597 |
| 90 | ARGSouth America | 0.595 |
| 91 | MEXCentral America | 0.573 |
| 92 | TWNEastern Asia | 0.569 |
| 93 | BDIEastern Africa | 0.566 |
| 94 | MYSSouth-eastern Asia | 0.545 |
| 95 | BOLSouth America | 0.543 |
| 96 | MARNorthern Africa | 0.538 |
| 97 | BIHSouthern Europe | 0.514 |
| 98 | QATWestern Asia | 0.513 |
| 99 | FJIMelanesia | 0.507 |
| 100 | ROUEastern Europe | 0.505 |
| 101 | SYCEastern Africa | 0.503 |
| 102 | JORWestern Asia | 0.498 |
| 103 | SLVCentral America | 0.490 |
| 104 | BGDSouthern Asia | 0.487 |
| 105 | GNBWestern Africa | 0.474 |
| 106 | BFAWestern Africa | 0.468 |
| 107 | DOMCaribbean | 0.452 |
| 108 | GEOWestern Asia | 0.421 |
| 109 | HRVSouthern Europe | 0.419 |
| 110 | PAKSouthern Asia | 0.412 |
| 111 | KENEastern Africa | 0.410 |
| 112 | ECUSouth America | 0.407 |
| 113 | SWZSouthern Africa | 0.404 |
| 114 | SLEWestern Africa | 0.383 |
| =115 | GABMiddle Africa | 0.380 |
| =115 | NGAWestern Africa | 0.380 |
| 117 | MDGEastern Africa | 0.373 |
| 118 | CAFMiddle Africa | 0.369 |
| 119 | HTICaribbean | 0.366 |
| 120 | UGAEastern Africa | 0.352 |
| 121 | COMEastern Africa | 0.336 |
| 122 | IRQWestern Asia | 0.334 |
| 123 | AGOMiddle Africa | 0.331 |
| 124 | SRBSouthern Europe | 0.319 |
| 125 | GMBWestern Africa | 0.318 |
| 126 | RUSEastern Europe | 0.315 |
| 127 | LBNWestern Asia | 0.313 |
| 128 | YEMWestern Asia | 0.300 |
| 129 | UKREastern Europe | 0.296 |
| 130 | NICCentral America | 0.277 |
| =131 | DZANorthern Africa | 0.275 |
| =131 | CHNEastern Asia | 0.275 |
| 133 | RWAEastern Africa | 0.263 |
| 134 | ARMWestern Asia | 0.260 |
| 135 | OMNWestern Asia | 0.254 |
| =136 | KGZCentral Asia | 0.226 |
| =136 | SAUWestern Asia | 0.226 |
| 138 | DJIEastern Africa | 0.223 |
| 139 | SomalilandXSLEastern Africa | 0.207 |
| 140 | LBRWestern Africa | 0.201 |
| 141 | AFGSouthern Asia | 0.196 |
| 142 | TGOWestern Africa | 0.184 |
| 143 | AREWestern Asia | 0.183 |
| 144 | ETHEastern Africa | 0.173 |
| 145 | TCDMiddle Africa | 0.167 |
| 146 | GINWestern Africa | 0.166 |
| 147 | IRNSouthern Asia | 0.153 |
| 148 | CODMiddle Africa | 0.144 |
| 149 | LBYNorthern Africa | 0.129 |
| 150 | CMRMiddle Africa | 0.127 |
| 151 | COGMiddle Africa | 0.123 |
| 152 | TUNNorthern Africa | 0.108 |
| 153 | KHMSouth-eastern Asia | 0.107 |
| 154 | KAZCentral Asia | 0.105 |
| =155 | CUBCaribbean | 0.093 |
| =155 | MRTWestern Africa | 0.093 |
| 157 | VNMSouth-eastern Asia | 0.090 |
| 158 | TJKCentral Asia | 0.073 |
| 159 | SOMEastern Africa | 0.071 |
| 160 | IDNSouth-eastern Asia | 0.066 |
| 161 | GNQMiddle Africa | 0.055 |
| =162 | PERSouth America | 0.052 |
| =162 | SYRWestern Asia | 0.052 |
| 164 | BLREastern Europe | 0.049 |
| 165 | AZEWestern Asia | 0.046 |
| 166 | ERIEastern Africa | 0.044 |
| 167 | MDVSouthern Asia | 0.043 |
| 168 | MMRSouth-eastern Asia | 0.037 |
| 169 | TKMCentral Asia | 0.029 |
| 170 | SDNNorthern Africa | 0.021 |
| 171 | UZBCentral Asia | 0.019 |
| 172 | PRKEastern Asia | 0.004 |
02In 1998
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
- 172
North Korea0.004
- 171
Uzbekistan0.019
- 170
Sudan0.021
- 169
Turkmenistan0.029
- 168
Myanmar0.037
A higher value is the better result. The middle country reads 0.603. “Shared” marks a value another country also holds.
031997 → 1998
Since 1997
What changed between 1997 and this one: who joined or left, and how far the headline moved.
- +1 / −0countries joined / left
- 34values changed, of 171 in both
- 19 · 15rose · fell
- 137unchanged
Rose most
Sierra Leone0.267 → 0.383+0.116
Slovakia0.725 → 0.832+0.107
DR Congo0.076 → 0.144+0.068
El Salvador0.461 → 0.490+0.029
Djibouti0.198 → 0.223+0.025
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 1998.
158 distinct values among 172
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 172 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
172 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-1998-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 (1998). Judicial Constraints on the Executive Index, 1998 [data set], describing 1998. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/1998
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 1997171 countries
The year after ›
Judicial Constraints on the Executive Index, 1999174 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, 1998: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 1998?
Australia, at 0.990, of the 172 countries in the file.
What year does Judicial Constraints on the Executive Index, 1998 describe?
1998.
How many countries does Judicial Constraints on the Executive Index, 1998 cover?
172.
Where can I download Judicial Constraints on the Executive Index, 1998?
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, 1998 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.