Data for 2007
Judicial Constraints on the Executive Index, 2007
2007, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2007 covers 175 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.663. Against 2006, 46 values changed (21 up, 25 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2007
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, 2007, 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 | 0.956 |
| 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 | CHLSouth America | 0.940 |
| =20 | URYSouth America | 0.940 |
| 22 | CANNorthern America | 0.936 |
| 23 | BELWestern Europe | 0.933 |
| 24 | CPVWestern Africa | 0.927 |
| 25 | BRASouth America | 0.925 |
| 26 | AUTWestern Europe | 0.922 |
| 27 | LVANorthern Europe | 0.917 |
| 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 | CZEEastern Europe | 0.892 |
| 34 | CYPWestern Asia | 0.890 |
| =35 | BWASouthern Africa | 0.889 |
| =35 | KOREastern Asia | 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 | SVKEastern Europe | 0.870 |
| 43 | BGREastern Europe | 0.865 |
| =44 | GRCSouthern Europe | 0.864 |
| =44 | ZAFSouthern Africa | 0.864 |
| 46 | LUXWestern Europe | 0.863 |
| =47 | HKGEastern Asia | 0.862 |
| =47 | ITASouthern Europe | 0.862 |
| 49 | TWNEastern Asia | 0.846 |
| 50 | SVNSouthern Europe | 0.841 |
| 51 | TURWestern Asia | 0.835 |
| 52 | PNGMelanesia | 0.834 |
| 53 | GHAWestern Africa | 0.828 |
| =54 | COLSouth America | 0.827 |
| =54 | TTOCaribbean | 0.827 |
| 56 | ZMBEastern Africa | 0.821 |
| 57 | INDSouthern Asia | 0.819 |
| 58 | SLBMelanesia | 0.815 |
| 59 | PERSouth America | 0.810 |
| 60 | NPLSouthern Asia | 0.806 |
| 61 | SGPSouth-eastern Asia | 0.797 |
| 62 | MNGEastern Asia | 0.793 |
| 63 | SYCEastern Africa | 0.786 |
| 64 | ROUEastern Europe | 0.784 |
| =65 | TZAEastern Africa | 0.769 |
| =65 | THASouth-eastern Asia | 0.769 |
| 67 | HRVSouthern Europe | 0.768 |
| 68 | XKXSouthern Europe | 0.766 |
| 69 | TLSSouth-eastern Asia | 0.765 |
| 70 | BTNSouthern Asia | 0.761 |
| 71 | MDAEastern Europe | 0.755 |
| 72 | MWIEastern Africa | 0.753 |
| 73 | KWTWestern Asia | 0.748 |
| 74 | IDNSouth-eastern Asia | 0.740 |
| =75 | LSOSouthern Africa | 0.738 |
| =75 | MLIWestern Africa | 0.738 |
| =75 | STPMiddle Africa | 0.738 |
| =78 | MLTSouthern Europe | 0.717 |
| =78 | MNESouthern Europe | 0.717 |
| 80 | MEXCentral America | 0.714 |
| 81 | LKASouthern Asia | 0.707 |
| 82 | PRYSouth America | 0.692 |
| 83 | PHLSouth-eastern Asia | 0.684 |
| 84 | HNDCentral America | 0.679 |
| 85 | ARGSouth America | 0.676 |
| 86 | CIVWestern Africa | 0.667 |
| 87 | MOZEastern Africa | 0.665 |
| 88 | BENWestern Africa | 0.663 |
| 89 | LAOSouth-eastern Asia | 0.659 |
| 90 | SENWestern Africa | 0.658 |
| 91 | SRBSouthern Europe | 0.656 |
| 92 | LBRWestern Africa | 0.653 |
| 93 | ALBSouthern Europe | 0.648 |
| 94 | MYSSouth-eastern Asia | 0.646 |
| 95 | EGYNorthern Africa | 0.645 |
| =96 | GUYSouth America | 0.643 |
| =96 | NERWestern Africa | 0.643 |
| 98 | GTMCentral America | 0.624 |
| 99 | BIHSouthern Europe | 0.612 |
| 100 | MKDSouthern Europe | 0.601 |
| 101 | SLVCentral America | 0.572 |
| 102 | PANCentral America | 0.567 |
| 103 | NGAWestern Africa | 0.560 |
| 104 | MARNorthern Africa | 0.554 |
| 105 | GNBWestern Africa | 0.552 |
| =106 | GEOWestern Asia | 0.545 |
| =106 | SLEWestern Africa | 0.545 |
| 108 | JORWestern Asia | 0.526 |
| 109 | BOLSouth America | 0.525 |
| 110 | BFAWestern Africa | 0.512 |
| 111 | QATWestern Asia | 0.482 |
| 112 | KENEastern Africa | 0.464 |
| 113 | FJIMelanesia | 0.446 |
| 114 | IRQWestern Asia | 0.427 |
| 115 | DOMCaribbean | 0.422 |
| 116 | OMNWestern Asia | 0.410 |
| 117 | MDGEastern Africa | 0.405 |
| 118 | PAKSouthern Asia | 0.395 |
| 119 | BGDSouthern Asia | 0.380 |
| 120 | UGAEastern Africa | 0.372 |
| 121 | COMEastern Africa | 0.365 |
| 122 | ECUSouth America | 0.357 |
| =123 | GABMiddle Africa | 0.348 |
| =123 | HTICaribbean | 0.348 |
| 125 | SWZSouthern Africa | 0.347 |
| 126 | LBNWestern Asia | 0.345 |
| 127 | UKREastern Europe | 0.337 |
| 128 | CAFMiddle Africa | 0.321 |
| 129 | ZWEEastern Africa | 0.314 |
| 130 | YEMWestern Asia | 0.300 |
| 131 | AFGSouthern Asia | 0.254 |
| 132 | GMBWestern Africa | 0.252 |
| 133 | CODMiddle Africa | 0.249 |
| 134 | BDIEastern Africa | 0.245 |
| 135 | MRTWestern Africa | 0.244 |
| 136 | RWAEastern Africa | 0.237 |
| 137 | KGZCentral Asia | 0.234 |
| 138 | TGOWestern Africa | 0.233 |
| 139 | DJIEastern Africa | 0.223 |
| 140 | SAUWestern Asia | 0.222 |
| 141 | AGOMiddle Africa | 0.220 |
| 142 | ARMWestern Asia | 0.213 |
| 143 | VNMSouth-eastern Asia | 0.211 |
| 144 | SomalilandXSLEastern Africa | 0.207 |
| 145 | AREWestern Asia | 0.201 |
| 146 | ETHEastern Africa | 0.188 |
| 147 | TCDMiddle Africa | 0.167 |
| 148 | DZANorthern Africa | 0.163 |
| 149 | GINWestern Africa | 0.160 |
| 150 | RUSEastern Europe | 0.159 |
| 151 | IRNSouthern Asia | 0.155 |
| 152 | CMRMiddle Africa | 0.124 |
| 153 | COGMiddle Africa | 0.123 |
| =154 | BHRWestern Asia | 0.122 |
| =154 | KHMSouth-eastern Asia | 0.122 |
| =156 | SOMEastern Africa | 0.114 |
| =156 | SDNNorthern Africa | 0.114 |
| 158 | CHNEastern Asia | 0.109 |
| 159 | TUNNorthern Africa | 0.108 |
| 160 | MDVSouthern Asia | 0.098 |
| 161 | KAZCentral Asia | 0.095 |
| 162 | SYRWestern Asia | 0.094 |
| 163 | CUBCaribbean | 0.093 |
| 164 | LBYNorthern Africa | 0.091 |
| 165 | NICCentral America | 0.087 |
| 166 | GNQMiddle Africa | 0.065 |
| 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 2007
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 0.663. “Shared” marks a value another country also holds.
032006 → 2007
Since 2006
What changed between 2006 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 46values changed, of 175 in both
- 21 · 25rose · fell
- 129unchanged
Rose most
Fell most
Fiji0.520 → 0.446−0.074
Georgia0.583 → 0.545−0.038
Bangladesh0.416 → 0.380−0.036
Ecuador0.391 → 0.357−0.034
Nicaragua0.120 → 0.087−0.033
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 2007.
157 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-2007-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 (2007). Judicial Constraints on the Executive Index, 2007 [data set], describing 2007. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2007
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2006175 countries
The year after ›
Judicial Constraints on the Executive Index, 2008175 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, 2007: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2007?
Australia, at 0.990, of the 175 countries in the file.
What year does Judicial Constraints on the Executive Index, 2007 describe?
2007.
How many countries does Judicial Constraints on the Executive Index, 2007 cover?
175.
Where can I download Judicial Constraints on the Executive Index, 2007?
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, 2007 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.