Data for 2006
Judicial Constraints on the Executive Index, 2006
2006, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2006 covers 175 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.659. Against 2005, 45 values changed (22 up, 23 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2006
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, 2006, 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 |
| =15 | USANorthern America | 0.949 |
| 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 | LVANorthern Europe | 0.917 |
| 27 | AUTWestern Europe | 0.914 |
| 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 | KOREastern Asia | 0.894 |
| 34 | CZEEastern Europe | 0.892 |
| 35 | CYPWestern Asia | 0.890 |
| 36 | BWASouthern Africa | 0.889 |
| 37 | JAMCaribbean | 0.883 |
| 38 | JPNEastern Asia | 0.882 |
| 39 | VUTMelanesia | 0.878 |
| 40 | SVKEastern Europe | 0.877 |
| 41 | ITASouthern Europe | 0.874 |
| 42 | MUSEastern Africa | 0.873 |
| 43 | SURSouth America | 0.872 |
| 44 | GRCSouthern Europe | 0.864 |
| 45 | LUXWestern Europe | 0.863 |
| 46 | HKGEastern Asia | 0.862 |
| 47 | BGREastern Europe | 0.855 |
| 48 | ZAFSouthern Africa | 0.850 |
| 49 | TWNEastern Asia | 0.846 |
| 50 | GHAWestern Africa | 0.845 |
| 51 | SVNSouthern Europe | 0.841 |
| 52 | TURWestern Asia | 0.839 |
| 53 | PNGMelanesia | 0.834 |
| =54 | COLSouth America | 0.827 |
| =54 | TTOCaribbean | 0.827 |
| 56 | PERSouth America | 0.826 |
| 57 | ZMBEastern Africa | 0.821 |
| 58 | INDSouthern Asia | 0.819 |
| 59 | SLBMelanesia | 0.815 |
| 60 | SGPSouth-eastern Asia | 0.797 |
| 61 | MNGEastern Asia | 0.793 |
| 62 | SYCEastern Africa | 0.784 |
| 63 | TZAEastern Africa | 0.769 |
| 64 | HRVSouthern Europe | 0.768 |
| 65 | XKXSouthern Europe | 0.766 |
| 66 | MWIEastern Africa | 0.764 |
| 67 | BTNSouthern Asia | 0.761 |
| 68 | KWTWestern Asia | 0.748 |
| 69 | MDAEastern Europe | 0.746 |
| 70 | IDNSouth-eastern Asia | 0.740 |
| 71 | TLSSouth-eastern Asia | 0.739 |
| =72 | LSOSouthern Africa | 0.738 |
| =72 | MLIWestern Africa | 0.738 |
| =72 | STPMiddle Africa | 0.738 |
| 75 | THASouth-eastern Asia | 0.732 |
| 76 | NPLSouthern Asia | 0.727 |
| 77 | MEXCentral America | 0.723 |
| =78 | MLTSouthern Europe | 0.717 |
| =78 | MNESouthern Europe | 0.717 |
| 80 | ROUEastern Europe | 0.709 |
| 81 | LKASouthern Asia | 0.707 |
| 82 | ARGSouth America | 0.687 |
| 83 | PHLSouth-eastern Asia | 0.684 |
| 84 | CIVWestern Africa | 0.667 |
| 85 | MOZEastern Africa | 0.665 |
| =86 | BENWestern Africa | 0.663 |
| =86 | HNDCentral America | 0.663 |
| 88 | LAOSouth-eastern Asia | 0.659 |
| 89 | SENWestern Africa | 0.658 |
| 90 | LBRWestern Africa | 0.653 |
| 91 | ALBSouthern Europe | 0.648 |
| 92 | GUYSouth America | 0.647 |
| 93 | MYSSouth-eastern Asia | 0.646 |
| 94 | EGYNorthern Africa | 0.645 |
| 95 | NERWestern Africa | 0.635 |
| 96 | SRBSouthern Europe | 0.631 |
| 97 | GTMCentral America | 0.624 |
| 98 | PRYSouth America | 0.615 |
| 99 | BIHSouthern Europe | 0.612 |
| 100 | MKDSouthern Europe | 0.611 |
| 101 | GEOWestern Asia | 0.583 |
| 102 | SLVCentral America | 0.572 |
| 103 | PANCentral America | 0.567 |
| 104 | SLEWestern Africa | 0.558 |
| 105 | MARNorthern Africa | 0.554 |
| 106 | GNBWestern Africa | 0.552 |
| 107 | JORWestern Asia | 0.526 |
| 108 | BOLSouth America | 0.525 |
| 109 | FJIMelanesia | 0.520 |
| 110 | BFAWestern Africa | 0.512 |
| 111 | NGAWestern Africa | 0.500 |
| 112 | QATWestern Asia | 0.482 |
| 113 | KENEastern Africa | 0.464 |
| 114 | DOMCaribbean | 0.433 |
| 115 | IRQWestern Asia | 0.427 |
| 116 | BGDSouthern Asia | 0.416 |
| 117 | OMNWestern Asia | 0.410 |
| 118 | MDGEastern Africa | 0.405 |
| 119 | PAKSouthern Asia | 0.396 |
| 120 | ECUSouth America | 0.391 |
| 121 | UGAEastern Africa | 0.367 |
| 122 | COMEastern Africa | 0.365 |
| 123 | GABMiddle Africa | 0.348 |
| 124 | SWZSouthern Africa | 0.347 |
| 125 | LBNWestern Asia | 0.345 |
| 126 | UKREastern Europe | 0.332 |
| 127 | CAFMiddle Africa | 0.321 |
| 128 | ZWEEastern Africa | 0.314 |
| 129 | YEMWestern Asia | 0.300 |
| 130 | HTICaribbean | 0.284 |
| 131 | AFGSouthern Asia | 0.254 |
| 132 | GMBWestern Africa | 0.252 |
| 133 | CODMiddle Africa | 0.251 |
| 134 | BDIEastern Africa | 0.245 |
| =135 | KGZCentral Asia | 0.244 |
| =135 | MRTWestern Africa | 0.244 |
| 137 | RWAEastern Africa | 0.237 |
| 138 | TGOWestern Africa | 0.233 |
| 139 | SAUWestern Asia | 0.226 |
| 140 | DJIEastern Africa | 0.223 |
| 141 | AGOMiddle Africa | 0.220 |
| 142 | ARMWestern Asia | 0.213 |
| 143 | VNMSouth-eastern Asia | 0.211 |
| 144 | SomalilandXSLEastern Africa | 0.207 |
| 145 | ETHEastern Africa | 0.189 |
| 146 | AREWestern Asia | 0.183 |
| 147 | DZANorthern Africa | 0.163 |
| 148 | RUSEastern Europe | 0.159 |
| =149 | TCDMiddle Africa | 0.155 |
| =149 | IRNSouthern Asia | 0.155 |
| 151 | GINWestern Africa | 0.148 |
| 152 | CMRMiddle Africa | 0.127 |
| 153 | COGMiddle Africa | 0.123 |
| =154 | BHRWestern Asia | 0.122 |
| =154 | KHMSouth-eastern Asia | 0.122 |
| 156 | NICCentral America | 0.120 |
| 157 | SOMEastern Africa | 0.114 |
| 158 | CHNEastern Asia | 0.109 |
| 159 | TUNNorthern Africa | 0.108 |
| 160 | MDVSouthern Asia | 0.098 |
| 161 | SDNNorthern Africa | 0.097 |
| 162 | KAZCentral Asia | 0.095 |
| 163 | SYRWestern Asia | 0.094 |
| 164 | CUBCaribbean | 0.093 |
| 165 | LBYNorthern Africa | 0.091 |
| 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 2006
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.
032005 → 2006
Since 2005
What changed between 2005 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 45values changed, of 175 in both
- 22 · 23rose · fell
- 130unchanged
Rose most
Mauritania0.093 → 0.244+0.151
Haiti0.181 → 0.284+0.103
Ukraine0.283 → 0.332+0.049
Georgia0.541 → 0.583+0.042
Ecuador0.362 → 0.391+0.029
Fell most
Nicaragua0.253 → 0.120−0.133
Fiji0.588 → 0.520−0.068
Bolivia0.569 → 0.525−0.044
North Macedonia0.638 → 0.611−0.027
Thailand0.757 → 0.732−0.025
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 2006.
161 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-2006-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 (2006). Judicial Constraints on the Executive Index, 2006 [data set], describing 2006. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2006
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2005175 countries
The year after ›
Judicial Constraints on the Executive Index, 2007175 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, 2006: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2006?
Australia, at 0.990, of the 175 countries in the file.
What year does Judicial Constraints on the Executive Index, 2006 describe?
2006.
How many countries does Judicial Constraints on the Executive Index, 2006 cover?
175.
Where can I download Judicial Constraints on the Executive Index, 2006?
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, 2006 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.