Data for 2015
Judicial Constraints on the Executive Index, 2015
2015, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2015 covers 176 countries. Denmark is highest, at 0.988; North Korea is lowest, at 0.004. The middle country reads 0.670. Against 2014, 76 values changed (34 up, 42 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2015
HighestDenmark
0.988LowestNorth 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, 2015, 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 176 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | DNKNorthern Europe | 0.988 |
| 2 | CHEWestern Europe | 0.987 |
| 3 | NORNorthern Europe | 0.984 |
| 4 | AUSAustralia and New Zealand | 0.982 |
| 5 | FINNorthern Europe | 0.976 |
| 6 | NZLAustralia and New Zealand | 0.974 |
| 7 | LTUNorthern Europe | 0.973 |
| 8 | SWENorthern Europe | 0.972 |
| 9 | CHLSouth America | 0.962 |
| 10 | USANorthern America | 0.961 |
| 11 | PRTSouthern Europe | 0.960 |
| =12 | ESTNorthern Europe | 0.953 |
| =12 | LVANorthern Europe | 0.953 |
| =14 | DEUWestern Europe | 0.952 |
| =14 | IRLNorthern Europe | 0.952 |
| 16 | CRICentral America | 0.951 |
| 17 | NLDWestern Europe | 0.949 |
| 18 | URYSouth America | 0.947 |
| 19 | FRAWestern Europe | 0.946 |
| 20 | ISLNorthern Europe | 0.943 |
| 21 | BELWestern Europe | 0.933 |
| 22 | ESPSouthern Europe | 0.932 |
| 23 | CANNorthern America | 0.925 |
| =24 | CPVWestern Africa | 0.922 |
| =24 | GBRNorthern Europe | 0.922 |
| 26 | BRASouth America | 0.921 |
| 27 | ROUEastern Europe | 0.913 |
| 28 | BRBCaribbean | 0.912 |
| 29 | BTNSouthern Asia | 0.911 |
| 30 | AUTWestern Europe | 0.906 |
| 31 | NAMSouthern Africa | 0.904 |
| 32 | VUTMelanesia | 0.903 |
| 33 | CZEEastern Europe | 0.898 |
| 34 | ISRWestern Asia | 0.896 |
| 35 | SVNSouthern Europe | 0.893 |
| 36 | BGREastern Europe | 0.882 |
| 37 | CYPWestern Asia | 0.872 |
| 38 | ITASouthern Europe | 0.871 |
| 39 | TUNNorthern Africa | 0.870 |
| 40 | JPNEastern Asia | 0.868 |
| 41 | POLEastern Europe | 0.867 |
| 42 | JAMCaribbean | 0.864 |
| 43 | LUXWestern Europe | 0.863 |
| 44 | HKGEastern Asia | 0.859 |
| 45 | GHAWestern Africa | 0.857 |
| 46 | SURSouth America | 0.847 |
| =47 | ZAFSouthern Africa | 0.846 |
| =47 | LKASouthern Asia | 0.846 |
| 49 | GRCSouthern Europe | 0.845 |
| 50 | SYCEastern Africa | 0.843 |
| 51 | SVKEastern Europe | 0.829 |
| 52 | TTOCaribbean | 0.827 |
| 53 | PERSouth America | 0.823 |
| =54 | BWASouthern Africa | 0.820 |
| =54 | NPLSouthern Asia | 0.820 |
| 56 | COLSouth America | 0.818 |
| 57 | HRVSouthern Europe | 0.814 |
| 58 | TWNEastern Asia | 0.812 |
| 59 | MDAEastern Europe | 0.803 |
| 60 | MUSEastern Africa | 0.800 |
| =61 | INDSouthern Asia | 0.799 |
| =61 | PNGMelanesia | 0.799 |
| 63 | SGPSouth-eastern Asia | 0.797 |
| 64 | MNGEastern Asia | 0.790 |
| 65 | TZAEastern Africa | 0.787 |
| 66 | LSOSouthern Africa | 0.785 |
| 67 | SLBMelanesia | 0.784 |
| 68 | PHLSouth-eastern Asia | 0.778 |
| 69 | IDNSouth-eastern Asia | 0.771 |
| =70 | MWIEastern Africa | 0.756 |
| =70 | MNESouthern Europe | 0.756 |
| 72 | KOREastern Asia | 0.755 |
| 73 | KENEastern Africa | 0.747 |
| 74 | ALBSouthern Europe | 0.746 |
| 75 | STPMiddle Africa | 0.745 |
| 76 | GTMCentral America | 0.744 |
| 77 | KWTWestern Asia | 0.743 |
| =78 | HUNEastern Europe | 0.737 |
| =78 | ZMBEastern Africa | 0.737 |
| 80 | SENWestern Africa | 0.735 |
| 81 | MLTSouthern Europe | 0.717 |
| 82 | MEXCentral America | 0.700 |
| 83 | PAKSouthern Asia | 0.698 |
| 84 | BFAWestern Africa | 0.679 |
| 85 | SLVCentral America | 0.677 |
| =86 | GUYSouth America | 0.672 |
| =86 | LAOSouth-eastern Asia | 0.672 |
| 88 | TLSSouth-eastern Asia | 0.671 |
| 89 | MOZEastern Africa | 0.669 |
| 90 | GEOWestern Asia | 0.659 |
| 91 | ARGSouth America | 0.646 |
| 92 | NERWestern Africa | 0.639 |
| 93 | BENWestern Africa | 0.638 |
| 94 | MLIWestern Africa | 0.630 |
| 95 | EGYNorthern Africa | 0.622 |
| 96 | NGAWestern Africa | 0.612 |
| 97 | THASouth-eastern Asia | 0.602 |
| 98 | BIHSouthern Europe | 0.597 |
| 99 | PRYSouth America | 0.596 |
| 100 | LBRWestern Africa | 0.580 |
| 101 | XKXSouthern Europe | 0.579 |
| 102 | GNBWestern Africa | 0.577 |
| 103 | MYSSouth-eastern Asia | 0.564 |
| 104 | MARNorthern Africa | 0.560 |
| =105 | SRBSouthern Europe | 0.551 |
| =105 | TURWestern Asia | 0.551 |
| 107 | JORWestern Asia | 0.531 |
| 108 | FJIMelanesia | 0.522 |
| 109 | CIVWestern Africa | 0.518 |
| 110 | LBNWestern Asia | 0.491 |
| 111 | PANCentral America | 0.490 |
| 112 | ZWEEastern Africa | 0.478 |
| 113 | HNDCentral America | 0.477 |
| 114 | KGZCentral Asia | 0.456 |
| 115 | LBYNorthern Africa | 0.453 |
| 116 | DOMCaribbean | 0.436 |
| 117 | SLEWestern Africa | 0.435 |
| 118 | QATWestern Asia | 0.413 |
| 119 | OMNWestern Asia | 0.410 |
| 120 | BOLSouth America | 0.408 |
| 121 | CAFMiddle Africa | 0.400 |
| 122 | IRQWestern Asia | 0.387 |
| 123 | MDGEastern Africa | 0.386 |
| 124 | MMRSouth-eastern Asia | 0.373 |
| 125 | COMEastern Africa | 0.352 |
| 126 | SOMEastern Africa | 0.343 |
| 127 | UGAEastern Africa | 0.336 |
| 128 | SWZSouthern Africa | 0.314 |
| 129 | GABMiddle Africa | 0.293 |
| 130 | SAUWestern Asia | 0.259 |
| 131 | RWAEastern Africa | 0.251 |
| 132 | GMBWestern Africa | 0.246 |
| 133 | MDVSouthern Asia | 0.243 |
| 134 | ARMWestern Asia | 0.240 |
| 135 | AFGSouthern Asia | 0.232 |
| 136 | TGOWestern Africa | 0.226 |
| 137 | DJIEastern Africa | 0.223 |
| 138 | GINWestern Africa | 0.219 |
| 139 | CODMiddle Africa | 0.217 |
| 140 | AGOMiddle Africa | 0.216 |
| 141 | VNMSouth-eastern Asia | 0.211 |
| 142 | MKDSouthern Europe | 0.206 |
| 143 | AREWestern Asia | 0.205 |
| 144 | SomalilandXSLEastern Africa | 0.204 |
| 145 | MRTWestern Africa | 0.203 |
| 146 | HTICaribbean | 0.200 |
| 147 | BGDSouthern Asia | 0.184 |
| 148 | ETHEastern Africa | 0.181 |
| 149 | ECUSouth America | 0.177 |
| 150 | DZANorthern Africa | 0.173 |
| 151 | IRNSouthern Asia | 0.171 |
| 152 | UKREastern Europe | 0.160 |
| 153 | CMRMiddle Africa | 0.150 |
| 154 | COGMiddle Africa | 0.149 |
| =155 | KHMSouth-eastern Asia | 0.135 |
| =155 | YEMWestern Asia | 0.135 |
| =157 | TCDMiddle Africa | 0.112 |
| =157 | KAZCentral Asia | 0.112 |
| 159 | BHRWestern Asia | 0.107 |
| 160 | CUBCaribbean | 0.104 |
| 161 | CHNEastern Asia | 0.095 |
| 162 | SSDEastern Africa | 0.094 |
| 163 | BDIEastern Africa | 0.091 |
| 164 | RUSEastern Europe | 0.082 |
| 165 | SDNNorthern Africa | 0.058 |
| 166 | SYRWestern Asia | 0.046 |
| 167 | NICCentral America | 0.042 |
| 168 | TKMCentral Asia | 0.039 |
| 169 | TJKCentral Asia | 0.029 |
| 170 | BLREastern Europe | 0.028 |
| 171 | GNQMiddle Africa | 0.025 |
| 172 | VENSouth America | 0.024 |
| 173 | UZBCentral Asia | 0.018 |
| 174 | ERIEastern Africa | 0.014 |
| 175 | AZEWestern Asia | 0.012 |
| 176 | PRKEastern Asia | 0.004 |
02In 2015
At either end
The 5 countries at each end of the headline.
Highest
- 1
Denmark0.988
- 2
Switzerland0.987
- 3
Norway0.984
- 4
Australia0.982
- 5
Finland0.976
Lowest
- 176
North Korea0.004
- 175
Azerbaijan0.012
- 174
Eritrea0.014
- 173
Uzbekistan0.018
- 172
Venezuela0.024
A higher value is the better result. The middle country reads 0.670. “Shared” marks a value another country also holds.
032014 → 2015
Since 2014
What changed between 2014 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 76values changed, of 176 in both
- 34 · 42rose · fell
- 100unchanged
Rose most
Sri Lanka0.659 → 0.846+0.187
Madagascar0.280 → 0.386+0.106
Guyana0.609 → 0.672+0.063
Egypt0.568 → 0.622+0.054
Nepal0.767 → 0.820+0.053
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 2015.
164 distinct values among 176
Values are stored exactly as published, to 3 decimals. 2 countries share 0.953. 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 176 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
176 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-2015-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 (2015). Judicial Constraints on the Executive Index, 2015 [data set], describing 2015. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2015
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2014176 countries
The year after ›
Judicial Constraints on the Executive Index, 2016176 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, 2015: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2015?
Denmark, at 0.988, of the 176 countries in the file.
What year does Judicial Constraints on the Executive Index, 2015 describe?
2015.
How many countries does Judicial Constraints on the Executive Index, 2015 cover?
176.
Where can I download Judicial Constraints on the Executive Index, 2015?
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, 2015 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.