Data for 2004
Judicial Constraints on the Executive Index, 2004
2004, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2004 covers 175 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.648. Against 2003, 34 values changed (22 up, 12 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2004
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, 2004, 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 175 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 | LTUNorthern Europe | 0.963 |
| 10 | POLEastern Europe | 0.960 |
| 11 | PRTSouthern Europe | 0.955 |
| 12 | ESTNorthern Europe | 0.953 |
| =13 | DEUWestern Europe | 0.952 |
| =13 | IRLNorthern Europe | 0.952 |
| 15 | CRICentral America | 0.950 |
| =16 | NLDWestern Europe | 0.949 |
| =16 | USANorthern America | 0.949 |
| 18 | FRAWestern Europe | 0.944 |
| 19 | ISLNorthern Europe | 0.942 |
| 20 | CHLSouth America | 0.940 |
| 21 | CANNorthern America | 0.936 |
| 22 | BELWestern Europe | 0.933 |
| 23 | CPVWestern Africa | 0.927 |
| 24 | URYSouth America | 0.918 |
| 25 | LVANorthern Europe | 0.917 |
| 26 | AUTWestern Europe | 0.914 |
| 27 | BRBCaribbean | 0.912 |
| 28 | HUNEastern Europe | 0.910 |
| 29 | GBRNorthern Europe | 0.909 |
| 30 | ISRWestern Asia | 0.904 |
| 31 | KOREastern Asia | 0.894 |
| 32 | CZEEastern Europe | 0.892 |
| 33 | CYPWestern Asia | 0.890 |
| 34 | BWASouthern Africa | 0.889 |
| 35 | JAMCaribbean | 0.883 |
| 36 | JPNEastern Asia | 0.882 |
| 37 | VUTMelanesia | 0.878 |
| 38 | SVKEastern Europe | 0.877 |
| 39 | NAMSouthern Africa | 0.874 |
| 40 | MUSEastern Africa | 0.873 |
| 41 | SURSouth America | 0.872 |
| =42 | GRCSouthern Europe | 0.864 |
| =42 | ITASouthern Europe | 0.864 |
| 44 | LUXWestern Europe | 0.863 |
| 45 | HKGEastern Asia | 0.862 |
| 46 | ZAFSouthern Africa | 0.856 |
| 47 | BGREastern Europe | 0.855 |
| 48 | TWNEastern Asia | 0.846 |
| 49 | TURWestern Asia | 0.839 |
| 50 | PNGMelanesia | 0.834 |
| =51 | GHAWestern Africa | 0.831 |
| =51 | SVNSouthern Europe | 0.831 |
| 53 | TTOCaribbean | 0.827 |
| 54 | BRASouth America | 0.825 |
| 55 | INDSouthern Asia | 0.819 |
| 56 | COLSouth America | 0.815 |
| 57 | PERSouth America | 0.811 |
| 58 | SGPSouth-eastern Asia | 0.797 |
| 59 | XKXSouthern Europe | 0.794 |
| 60 | MNGEastern Asia | 0.793 |
| 61 | ZMBEastern Africa | 0.791 |
| 62 | SYCEastern Africa | 0.784 |
| 63 | SLBMelanesia | 0.783 |
| =64 | HRVSouthern Europe | 0.768 |
| =64 | TZAEastern Africa | 0.768 |
| =66 | BTNSouthern Asia | 0.761 |
| =66 | MWIEastern Africa | 0.761 |
| 68 | THASouth-eastern Asia | 0.757 |
| 69 | TLSSouth-eastern Asia | 0.754 |
| 70 | KWTWestern Asia | 0.748 |
| 71 | MDAEastern Europe | 0.746 |
| 72 | IDNSouth-eastern Asia | 0.740 |
| =73 | LSOSouthern Africa | 0.738 |
| =73 | MLIWestern Africa | 0.738 |
| =73 | STPMiddle Africa | 0.738 |
| 76 | NPLSouthern Asia | 0.734 |
| 77 | MEXCentral America | 0.723 |
| 78 | LKASouthern Asia | 0.719 |
| =79 | MLTSouthern Europe | 0.717 |
| =79 | MNESouthern Europe | 0.717 |
| 81 | ARGSouth America | 0.707 |
| =82 | MOZEastern Africa | 0.690 |
| =82 | PHLSouth-eastern Asia | 0.690 |
| 84 | LAOSouth-eastern Asia | 0.671 |
| 85 | CIVWestern Africa | 0.667 |
| =86 | BENWestern Africa | 0.658 |
| =86 | SENWestern Africa | 0.658 |
| =88 | ALBSouthern Europe | 0.648 |
| =88 | HNDCentral America | 0.648 |
| 90 | GUYSouth America | 0.647 |
| 91 | MYSSouth-eastern Asia | 0.646 |
| 92 | EGYNorthern Africa | 0.645 |
| 93 | LBRWestern Africa | 0.644 |
| 94 | PANCentral America | 0.642 |
| =95 | NERWestern Africa | 0.635 |
| =95 | MKDSouthern Europe | 0.635 |
| 97 | SRBSouthern Europe | 0.631 |
| 98 | GTMCentral America | 0.624 |
| 99 | SLEWestern Africa | 0.613 |
| 100 | ROUEastern Europe | 0.609 |
| 101 | PRYSouth America | 0.589 |
| 102 | FJIMelanesia | 0.588 |
| 103 | BOLSouth America | 0.576 |
| 104 | BIHSouthern Europe | 0.575 |
| 105 | GNBWestern Africa | 0.568 |
| 106 | BDIEastern Africa | 0.566 |
| 107 | SLVCentral America | 0.559 |
| 108 | MARNorthern Africa | 0.526 |
| 109 | BFAWestern Africa | 0.512 |
| 110 | NGAWestern Africa | 0.500 |
| 111 | JORWestern Asia | 0.498 |
| 112 | IRQWestern Asia | 0.492 |
| 113 | QATWestern Asia | 0.490 |
| 114 | KENEastern Africa | 0.464 |
| 115 | PAKSouthern Asia | 0.443 |
| 116 | GEOWestern Asia | 0.438 |
| 117 | DOMCaribbean | 0.433 |
| 118 | BGDSouthern Asia | 0.416 |
| 119 | OMNWestern Asia | 0.410 |
| 120 | MDGEastern Africa | 0.405 |
| 121 | SWZSouthern Africa | 0.404 |
| 122 | UKREastern Europe | 0.386 |
| 123 | COMEastern Africa | 0.382 |
| 124 | ECUSouth America | 0.354 |
| 125 | GABMiddle Africa | 0.348 |
| 126 | UGAEastern Africa | 0.326 |
| 127 | CAFMiddle Africa | 0.324 |
| 128 | LBNWestern Asia | 0.323 |
| 129 | ZWEEastern Africa | 0.314 |
| 130 | YEMWestern Asia | 0.300 |
| 131 | CHNEastern Asia | 0.297 |
| 132 | CODMiddle Africa | 0.261 |
| 133 | AFGSouthern Asia | 0.255 |
| 134 | NICCentral America | 0.253 |
| 135 | GMBWestern Africa | 0.252 |
| 136 | RWAEastern Africa | 0.237 |
| 137 | SAUWestern Asia | 0.226 |
| 138 | DJIEastern Africa | 0.223 |
| 139 | AGOMiddle Africa | 0.220 |
| 140 | ARMWestern Asia | 0.213 |
| 141 | KGZCentral Asia | 0.212 |
| 142 | SomalilandXSLEastern Africa | 0.207 |
| 143 | TGOWestern Africa | 0.184 |
| 144 | AREWestern Asia | 0.183 |
| =145 | ETHEastern Africa | 0.173 |
| =145 | HTICaribbean | 0.173 |
| 147 | TCDMiddle Africa | 0.167 |
| 148 | DZANorthern Africa | 0.163 |
| 149 | RUSEastern Europe | 0.159 |
| 150 | VENSouth America | 0.156 |
| 151 | IRNSouthern Asia | 0.153 |
| 152 | GINWestern Africa | 0.148 |
| 153 | CMRMiddle Africa | 0.127 |
| 154 | COGMiddle Africa | 0.123 |
| 155 | KHMSouth-eastern Asia | 0.122 |
| 156 | TUNNorthern Africa | 0.108 |
| 157 | BHRWestern Asia | 0.106 |
| 158 | SOMEastern Africa | 0.103 |
| 159 | KAZCentral Asia | 0.095 |
| 160 | SYRWestern Asia | 0.094 |
| =161 | CUBCaribbean | 0.093 |
| =161 | MRTWestern Africa | 0.093 |
| 163 | LBYNorthern Africa | 0.091 |
| 164 | VNMSouth-eastern Asia | 0.090 |
| 165 | GNQMiddle Africa | 0.053 |
| 166 | TJKCentral Asia | 0.052 |
| =167 | AZEWestern Asia | 0.049 |
| =167 | MDVSouthern Asia | 0.049 |
| 169 | BLREastern Europe | 0.043 |
| 170 | MMRSouth-eastern Asia | 0.037 |
| 171 | TKMCentral Asia | 0.029 |
| 172 | SDNNorthern Africa | 0.021 |
| 173 | UZBCentral Asia | 0.018 |
| 174 | ERIEastern Africa | 0.006 |
| 175 | PRKEastern Asia | 0.004 |
02In 2004
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
- 175
North Korea0.004
- 174
Eritrea0.006
- 173
Uzbekistan0.018
- 172
Sudan0.021
- 171
Turkmenistan0.029
A higher value is the better result. The middle country reads 0.648. “Shared” marks a value another country also holds.
032003 → 2004
Since 2003
What changed between 2003 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 34values changed, of 175 in both
- 22 · 12rose · fell
- 141unchanged
Rose most
Liberia0.215 → 0.644+0.429
Guinea-Bissau0.431 → 0.568+0.137
Malaysia0.545 → 0.646+0.101
Ukraine0.295 → 0.386+0.091
Iraq0.422 → 0.492+0.070
Fell most
Haiti0.366 → 0.173−0.193
Venezuela0.313 → 0.156−0.157
Gambia0.279 → 0.252−0.027
Armenia0.238 → 0.213−0.025
Mozambique0.712 → 0.690−0.022
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 2004.
158 distinct values among 175
Values are stored exactly as published, to 3 decimals. 3 countries share 0.738. 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 175 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
175 rows · 4.8 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download judicial-constraints-2004-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 (2004). Judicial Constraints on the Executive Index, 2004 [data set], describing 2004. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2004
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2003175 countries
The year after ›
Judicial Constraints on the Executive Index, 2005175 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, 2004: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2004?
Australia, at 0.990, of the 175 countries in the file.
What year does Judicial Constraints on the Executive Index, 2004 describe?
2004.
How many countries does Judicial Constraints on the Executive Index, 2004 cover?
175.
Where can I download Judicial Constraints on the Executive Index, 2004?
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, 2004 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.