Data for 2014
Judicial Constraints on the Executive Index, 2014
2014, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2014 covers 176 countries. Denmark is highest, at 0.988; North Korea is lowest, at 0.004. The middle country reads 0.652. Against 2013, 56 values changed (22 up, 34 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2014
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, 2014, 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 | 0.978 |
| =5 | SWENorthern Europe | 0.978 |
| 7 | NZLAustralia and New Zealand | 0.974 |
| 8 | LTUNorthern Europe | 0.973 |
| 9 | CHLSouth America | 0.968 |
| 10 | USANorthern America | 0.961 |
| 11 | PRTSouthern Europe | 0.955 |
| =12 | ESTNorthern Europe | 0.953 |
| =12 | LVANorthern Europe | 0.953 |
| =14 | DEUWestern Europe | 0.952 |
| =14 | IRLNorthern Europe | 0.952 |
| =14 | POLEastern Europe | 0.952 |
| 17 | CRICentral America | 0.951 |
| 18 | NLDWestern Europe | 0.949 |
| 19 | FRAWestern Europe | 0.946 |
| 20 | ISLNorthern Europe | 0.943 |
| 21 | URYSouth America | 0.936 |
| 22 | BELWestern Europe | 0.933 |
| 23 | ESPSouthern Europe | 0.932 |
| 24 | BRASouth America | 0.927 |
| 25 | CANNorthern America | 0.925 |
| =26 | CPVWestern Africa | 0.922 |
| =26 | GBRNorthern Europe | 0.922 |
| 28 | BRBCaribbean | 0.912 |
| 29 | BTNSouthern Asia | 0.911 |
| 30 | AUTWestern Europe | 0.906 |
| =31 | NAMSouthern Africa | 0.904 |
| =31 | ROUEastern Europe | 0.904 |
| 33 | CZEEastern Europe | 0.898 |
| 34 | ISRWestern Asia | 0.890 |
| 35 | SVNSouthern Europe | 0.889 |
| 36 | VUTMelanesia | 0.888 |
| =37 | CYPWestern Asia | 0.872 |
| =37 | GRCSouthern Europe | 0.872 |
| 39 | ITASouthern Europe | 0.871 |
| 40 | JPNEastern Asia | 0.868 |
| 41 | JAMCaribbean | 0.864 |
| 42 | LUXWestern Europe | 0.863 |
| 43 | HKGEastern Asia | 0.859 |
| 44 | BWASouthern Africa | 0.848 |
| 45 | SURSouth America | 0.847 |
| =46 | BGREastern Europe | 0.846 |
| =46 | ZAFSouthern Africa | 0.846 |
| 48 | SVKEastern Europe | 0.842 |
| 49 | GHAWestern Africa | 0.833 |
| 50 | TUNNorthern Africa | 0.829 |
| 51 | TTOCaribbean | 0.827 |
| 52 | PERSouth America | 0.823 |
| 53 | MDAEastern Europe | 0.821 |
| =54 | COLSouth America | 0.818 |
| =54 | INDSouthern Asia | 0.818 |
| 56 | HRVSouthern Europe | 0.814 |
| 57 | TWNEastern Asia | 0.812 |
| 58 | MNGEastern Asia | 0.806 |
| 59 | SYCEastern Africa | 0.805 |
| 60 | PNGMelanesia | 0.799 |
| 61 | SGPSouth-eastern Asia | 0.797 |
| 62 | LSOSouthern Africa | 0.785 |
| 63 | MUSEastern Africa | 0.782 |
| 64 | SLBMelanesia | 0.777 |
| 65 | PHLSouth-eastern Asia | 0.769 |
| 66 | NPLSouthern Asia | 0.767 |
| =67 | TZAEastern Africa | 0.760 |
| =67 | ZMBEastern Africa | 0.760 |
| 69 | MNESouthern Europe | 0.756 |
| 70 | KOREastern Asia | 0.755 |
| 71 | MWIEastern Africa | 0.754 |
| 72 | IDNSouth-eastern Asia | 0.752 |
| 73 | KENEastern Africa | 0.747 |
| 74 | ALBSouthern Europe | 0.746 |
| 75 | STPMiddle Africa | 0.745 |
| 76 | KWTWestern Asia | 0.743 |
| 77 | HUNEastern Europe | 0.737 |
| 78 | GTMCentral America | 0.736 |
| 79 | SENWestern Africa | 0.735 |
| 80 | PAKSouthern Asia | 0.730 |
| 81 | MLTSouthern Europe | 0.717 |
| 82 | MEXCentral America | 0.713 |
| 83 | TLSSouth-eastern Asia | 0.707 |
| 84 | MOZEastern Africa | 0.686 |
| 85 | SLVCentral America | 0.677 |
| 86 | LAOSouth-eastern Asia | 0.672 |
| 87 | LKASouthern Asia | 0.659 |
| 88 | GEOWestern Asia | 0.653 |
| 89 | BENWestern Africa | 0.650 |
| 90 | THASouth-eastern Asia | 0.647 |
| 91 | BFAWestern Africa | 0.646 |
| 92 | ARGSouth America | 0.645 |
| 93 | NGAWestern Africa | 0.642 |
| 94 | NERWestern Africa | 0.639 |
| 95 | MLIWestern Africa | 0.630 |
| 96 | HNDCentral America | 0.619 |
| 97 | GUYSouth America | 0.609 |
| 98 | PRYSouth America | 0.607 |
| 99 | BIHSouthern Europe | 0.593 |
| 100 | GNBWestern Africa | 0.589 |
| 101 | LBRWestern Africa | 0.580 |
| 102 | XKXSouthern Europe | 0.579 |
| 103 | MYSSouth-eastern Asia | 0.578 |
| 104 | TURWestern Asia | 0.576 |
| 105 | EGYNorthern Africa | 0.568 |
| 106 | MARNorthern Africa | 0.560 |
| 107 | SRBSouthern Europe | 0.556 |
| 108 | LBYNorthern Africa | 0.547 |
| 109 | JORWestern Asia | 0.531 |
| 110 | CIVWestern Africa | 0.518 |
| 111 | FJIMelanesia | 0.497 |
| 112 | LBNWestern Asia | 0.496 |
| 113 | PANCentral America | 0.490 |
| 114 | ZWEEastern Africa | 0.483 |
| 115 | KGZCentral Asia | 0.479 |
| 116 | DOMCaribbean | 0.436 |
| 117 | SLEWestern Africa | 0.435 |
| 118 | BOLSouth America | 0.415 |
| 119 | QATWestern Asia | 0.413 |
| 120 | OMNWestern Asia | 0.410 |
| 121 | CAFMiddle Africa | 0.400 |
| 122 | IRQWestern Asia | 0.375 |
| 123 | COMEastern Africa | 0.355 |
| 124 | SOMEastern Africa | 0.343 |
| 125 | UGAEastern Africa | 0.338 |
| 126 | MMRSouth-eastern Asia | 0.328 |
| 127 | SWZSouthern Africa | 0.314 |
| 128 | GABMiddle Africa | 0.293 |
| 129 | MDGEastern Africa | 0.280 |
| =130 | MDVSouthern Asia | 0.264 |
| =130 | YEMWestern Asia | 0.264 |
| 132 | SAUWestern Asia | 0.259 |
| 133 | RWAEastern Africa | 0.251 |
| 134 | GMBWestern Africa | 0.246 |
| 135 | AFGSouthern Asia | 0.231 |
| 136 | ARMWestern Asia | 0.229 |
| 137 | CODMiddle Africa | 0.228 |
| 138 | TGOWestern Africa | 0.226 |
| 139 | DJIEastern Africa | 0.223 |
| 140 | GINWestern Africa | 0.219 |
| 141 | AGOMiddle Africa | 0.216 |
| 142 | VNMSouth-eastern Asia | 0.211 |
| 143 | MKDSouthern Europe | 0.206 |
| 144 | AREWestern Asia | 0.205 |
| 145 | SomalilandXSLEastern Africa | 0.204 |
| 146 | MRTWestern Africa | 0.203 |
| 147 | HTICaribbean | 0.200 |
| 148 | BGDSouthern Asia | 0.195 |
| 149 | ETHEastern Africa | 0.187 |
| 150 | ECUSouth America | 0.177 |
| 151 | DZANorthern Africa | 0.173 |
| 152 | IRNSouthern Asia | 0.171 |
| 153 | CMRMiddle Africa | 0.150 |
| =154 | COGMiddle Africa | 0.149 |
| =154 | UKREastern Europe | 0.149 |
| 156 | KHMSouth-eastern Asia | 0.135 |
| 157 | SSDEastern Africa | 0.114 |
| 158 | TCDMiddle Africa | 0.112 |
| 159 | KAZCentral Asia | 0.108 |
| 160 | BHRWestern Asia | 0.107 |
| 161 | CUBCaribbean | 0.104 |
| 162 | CHNEastern Asia | 0.102 |
| 163 | BDIEastern Africa | 0.100 |
| 164 | RUSEastern Europe | 0.074 |
| 165 | SDNNorthern Africa | 0.058 |
| 166 | SYRWestern Asia | 0.046 |
| 167 | GNQMiddle Africa | 0.043 |
| 168 | NICCentral America | 0.042 |
| 169 | TKMCentral Asia | 0.039 |
| 170 | TJKCentral Asia | 0.029 |
| 171 | BLREastern Europe | 0.028 |
| 172 | VENSouth America | 0.025 |
| 173 | UZBCentral Asia | 0.018 |
| 174 | ERIEastern Africa | 0.014 |
| 175 | AZEWestern Asia | 0.012 |
| 176 | PRKEastern Asia | 0.004 |
02In 2014
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
Finlandshared0.978
Lowest
- 176
North Korea0.004
- 175
Azerbaijan0.012
- 174
Eritrea0.014
- 173
Uzbekistan0.018
- 172
Venezuela0.025
A higher value is the better result. The middle country reads 0.652. “Shared” marks a value another country also holds.
032013 → 2014
Since 2013
What changed between 2013 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 56values changed, of 176 in both
- 22 · 34rose · fell
- 120unchanged
Rose most
Central African Republic0.306 → 0.400+0.094
Madagascar0.198 → 0.280+0.082
Burkina Faso0.574 → 0.646+0.072
Fiji0.451 → 0.497+0.046
Libya0.518 → 0.547+0.029
Fell most
Thailand0.825 → 0.647−0.178
Türkiye0.655 → 0.576−0.079
Mauritius0.849 → 0.782−0.067
Ukraine0.212 → 0.149−0.063
North Macedonia0.266 → 0.206−0.060
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 2014.
164 distinct values among 176
Values are stored exactly as published, to 3 decimals. 3 countries share 0.952. 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-2014-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 (2014). Judicial Constraints on the Executive Index, 2014 [data set], describing 2014. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2014
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2013176 countries
The year after ›
Judicial Constraints on the Executive Index, 2015176 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, 2014: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2014?
Denmark, at 0.988, of the 176 countries in the file.
What year does Judicial Constraints on the Executive Index, 2014 describe?
2014.
How many countries does Judicial Constraints on the Executive Index, 2014 cover?
176.
Where can I download Judicial Constraints on the Executive Index, 2014?
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, 2014 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.