Data for 2008
Judicial Constraints on the Executive Index, 2008
2008, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2008 covers 175 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.659. Against 2007, 51 values changed (24 up, 27 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2008
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, 2008, 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 | 0.959 |
| 11 | PRTSouthern Europe | 0.955 |
| 12 | ESTNorthern Europe | 0.953 |
| =13 | DEUWestern Europe | 0.952 |
| =13 | IRLNorthern Europe | 0.952 |
| 15 | NLDWestern Europe | 0.949 |
| 16 | USANorthern America | 0.947 |
| 17 | CRICentral America | 0.946 |
| 18 | FRAWestern Europe | 0.944 |
| 19 | ISLNorthern Europe | 0.942 |
| 20 | URYSouth America | 0.941 |
| 21 | CHLSouth America | 0.940 |
| 22 | CANNorthern America | 0.936 |
| 23 | BELWestern Europe | 0.933 |
| 24 | CPVWestern Africa | 0.927 |
| =25 | BRASouth America | 0.925 |
| =25 | LVANorthern Europe | 0.925 |
| 27 | AUTWestern Europe | 0.922 |
| 28 | BRBCaribbean | 0.912 |
| 29 | GBRNorthern Europe | 0.909 |
| =30 | HUNEastern Europe | 0.904 |
| =30 | ISRWestern Asia | 0.904 |
| =30 | NAMSouthern Africa | 0.904 |
| =33 | BTNSouthern Asia | 0.903 |
| =33 | CZEEastern Europe | 0.903 |
| 35 | CYPWestern Asia | 0.890 |
| 36 | BWASouthern Africa | 0.889 |
| 37 | JAMCaribbean | 0.883 |
| 38 | JPNEastern Asia | 0.882 |
| 39 | VUTMelanesia | 0.878 |
| 40 | MUSEastern Africa | 0.873 |
| 41 | SURSouth America | 0.872 |
| 42 | BGREastern Europe | 0.865 |
| =43 | GRCSouthern Europe | 0.864 |
| =43 | ZAFSouthern Africa | 0.864 |
| 45 | LUXWestern Europe | 0.863 |
| 46 | HKGEastern Asia | 0.862 |
| 47 | SVKEastern Europe | 0.860 |
| 48 | ITASouthern Europe | 0.851 |
| 49 | TWNEastern Asia | 0.846 |
| =50 | SVNSouthern Europe | 0.840 |
| =50 | TURWestern Asia | 0.840 |
| 52 | PNGMelanesia | 0.834 |
| 53 | GHAWestern Africa | 0.828 |
| =54 | COLSouth America | 0.827 |
| =54 | TTOCaribbean | 0.827 |
| =56 | KOREastern Asia | 0.821 |
| =56 | ZMBEastern Africa | 0.821 |
| 58 | INDSouthern Asia | 0.819 |
| 59 | THASouth-eastern Asia | 0.816 |
| 60 | SLBMelanesia | 0.815 |
| 61 | PERSouth America | 0.810 |
| 62 | NPLSouthern Asia | 0.804 |
| 63 | SGPSouth-eastern Asia | 0.797 |
| 64 | MNGEastern Asia | 0.793 |
| 65 | PRYSouth America | 0.781 |
| 66 | SYCEastern Africa | 0.779 |
| =67 | MWIEastern Africa | 0.778 |
| =67 | ROUEastern Europe | 0.778 |
| 69 | TZAEastern Africa | 0.769 |
| 70 | HRVSouthern Europe | 0.768 |
| 71 | MNESouthern Europe | 0.752 |
| 72 | TLSSouth-eastern Asia | 0.749 |
| =73 | KWTWestern Asia | 0.748 |
| =73 | MLIWestern Africa | 0.748 |
| =73 | MDAEastern Europe | 0.748 |
| 76 | IDNSouth-eastern Asia | 0.746 |
| =77 | XKXSouthern Europe | 0.738 |
| =77 | LSOSouthern Africa | 0.738 |
| =77 | STPMiddle Africa | 0.738 |
| 80 | MLTSouthern Europe | 0.717 |
| 81 | MEXCentral America | 0.714 |
| 82 | LKASouthern Asia | 0.705 |
| 83 | PHLSouth-eastern Asia | 0.684 |
| 84 | HNDCentral America | 0.679 |
| 85 | CIVWestern Africa | 0.667 |
| 86 | MOZEastern Africa | 0.665 |
| 87 | BENWestern Africa | 0.663 |
| 88 | LAOSouth-eastern Asia | 0.659 |
| 89 | SENWestern Africa | 0.658 |
| 90 | SRBSouthern Europe | 0.656 |
| 91 | LBRWestern Africa | 0.653 |
| 92 | ALBSouthern Europe | 0.647 |
| 93 | MYSSouth-eastern Asia | 0.646 |
| 94 | EGYNorthern Africa | 0.645 |
| =95 | GUYSouth America | 0.643 |
| =95 | NERWestern Africa | 0.643 |
| 97 | ARGSouth America | 0.641 |
| 98 | GTMCentral America | 0.624 |
| 99 | BIHSouthern Europe | 0.612 |
| 100 | SLVCentral America | 0.609 |
| 101 | MKDSouthern Europe | 0.578 |
| 102 | PANCentral America | 0.567 |
| 103 | NGAWestern Africa | 0.558 |
| 104 | MARNorthern Africa | 0.554 |
| 105 | GNBWestern Africa | 0.552 |
| 106 | GEOWestern Asia | 0.545 |
| 107 | JORWestern Asia | 0.526 |
| 108 | BOLSouth America | 0.517 |
| 109 | BFAWestern Africa | 0.512 |
| 110 | SLEWestern Africa | 0.485 |
| 111 | QATWestern Asia | 0.482 |
| 112 | PAKSouthern Asia | 0.464 |
| 113 | KENEastern Africa | 0.463 |
| 114 | FJIMelanesia | 0.446 |
| 115 | IRQWestern Asia | 0.429 |
| 116 | DOMCaribbean | 0.422 |
| 117 | OMNWestern Asia | 0.410 |
| 118 | MDGEastern Africa | 0.405 |
| 119 | BGDSouthern Asia | 0.381 |
| 120 | SWZSouthern Africa | 0.366 |
| =121 | COMEastern Africa | 0.365 |
| =121 | UGAEastern Africa | 0.365 |
| 123 | GABMiddle Africa | 0.348 |
| 124 | HTICaribbean | 0.347 |
| 125 | LBNWestern Asia | 0.345 |
| 126 | CAFMiddle Africa | 0.321 |
| 127 | ZWEEastern Africa | 0.314 |
| 128 | UKREastern Europe | 0.309 |
| 129 | YEMWestern Asia | 0.300 |
| 130 | AFGSouthern Asia | 0.254 |
| 131 | GMBWestern Africa | 0.252 |
| 132 | CODMiddle Africa | 0.249 |
| 133 | SAUWestern Asia | 0.248 |
| 134 | ECUSouth America | 0.241 |
| =135 | BDIEastern Africa | 0.239 |
| =135 | MDVSouthern Asia | 0.239 |
| 137 | TGOWestern Africa | 0.238 |
| 138 | RWAEastern Africa | 0.237 |
| 139 | KGZCentral Asia | 0.234 |
| 140 | AGOMiddle Africa | 0.231 |
| 141 | DJIEastern Africa | 0.223 |
| 142 | MRTWestern Africa | 0.218 |
| 143 | VNMSouth-eastern Asia | 0.211 |
| 144 | SomalilandXSLEastern Africa | 0.207 |
| 145 | AREWestern Asia | 0.201 |
| 146 | ARMWestern Asia | 0.198 |
| 147 | ETHEastern Africa | 0.188 |
| 148 | TCDMiddle Africa | 0.167 |
| 149 | DZANorthern Africa | 0.163 |
| 150 | RUSEastern Europe | 0.162 |
| 151 | IRNSouthern Asia | 0.155 |
| 152 | GINWestern Africa | 0.150 |
| 153 | CMRMiddle Africa | 0.128 |
| 154 | COGMiddle Africa | 0.123 |
| =155 | BHRWestern Asia | 0.122 |
| =155 | KHMSouth-eastern Asia | 0.122 |
| 157 | SOMEastern Africa | 0.116 |
| 158 | SDNNorthern Africa | 0.114 |
| 159 | CHNEastern Asia | 0.109 |
| 160 | TUNNorthern Africa | 0.108 |
| 161 | KAZCentral Asia | 0.095 |
| 162 | SYRWestern Asia | 0.094 |
| 163 | CUBCaribbean | 0.093 |
| 164 | LBYNorthern Africa | 0.091 |
| 165 | GNQMiddle Africa | 0.065 |
| 166 | NICCentral America | 0.062 |
| 167 | TJKCentral Asia | 0.056 |
| 168 | AZEWestern Asia | 0.049 |
| 169 | VENSouth America | 0.044 |
| 170 | BLREastern Europe | 0.043 |
| 171 | MMRSouth-eastern Asia | 0.037 |
| 172 | TKMCentral Asia | 0.029 |
| 173 | UZBCentral Asia | 0.018 |
| 174 | ERIEastern Africa | 0.006 |
| 175 | PRKEastern Asia | 0.004 |
02In 2008
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
Turkmenistan0.029
- 171
Myanmar0.037
A higher value is the better result. The middle country reads 0.659. “Shared” marks a value another country also holds.
032007 → 2008
Since 2007
What changed between 2007 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 51values changed, of 175 in both
- 24 · 27rose · fell
- 124unchanged
Rose most
Fell most
Ecuador0.357 → 0.241−0.116
South Korea0.889 → 0.821−0.068
Sierra Leone0.545 → 0.485−0.060
Argentina0.676 → 0.641−0.035
Ukraine0.337 → 0.309−0.028
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 2008.
156 distinct values among 175
Values are stored exactly as published, to 3 decimals. 3 countries share 0.904. 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-2008-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 (2008). Judicial Constraints on the Executive Index, 2008 [data set], describing 2008. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2008
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2007175 countries
The year after ›
Judicial Constraints on the Executive Index, 2009175 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, 2008: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2008?
Australia, at 0.990, of the 175 countries in the file.
What year does Judicial Constraints on the Executive Index, 2008 describe?
2008.
How many countries does Judicial Constraints on the Executive Index, 2008 cover?
175.
Where can I download Judicial Constraints on the Executive Index, 2008?
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, 2008 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.