Data for 2017
Judicial Constraints on the Executive Index, 2017
2017, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2017 covers 176 countries. Australia is highest, at 0.988; North Korea is lowest, at 0.004. The middle country reads 0.655. Against 2016, 130 values changed (59 up, 71 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2017
HighestAustralia
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, 2017, 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 | AUSAustralia and New Zealand | 0.988 |
| 2 | CHEWestern Europe | 0.987 |
| =3 | DNKNorthern Europe | 0.984 |
| =3 | NORNorthern Europe | 0.984 |
| 5 | FINNorthern Europe | 0.976 |
| =6 | PRTSouthern Europe | 0.972 |
| =6 | SWENorthern Europe | 0.972 |
| 8 | LTUNorthern Europe | 0.971 |
| 9 | NZLAustralia and New Zealand | 0.970 |
| 10 | CHLSouth America | 0.962 |
| 11 | NLDWestern Europe | 0.961 |
| 12 | IRLNorthern Europe | 0.957 |
| =13 | ESTNorthern Europe | 0.953 |
| =13 | LVANorthern Europe | 0.953 |
| 15 | CRICentral America | 0.952 |
| 16 | URYSouth America | 0.947 |
| 17 | FRAWestern Europe | 0.946 |
| 18 | ISLNorthern Europe | 0.943 |
| 19 | ESPSouthern Europe | 0.941 |
| 20 | CANNorthern America | 0.932 |
| 21 | USANorthern America | 0.931 |
| 22 | KOREastern Asia | 0.929 |
| 23 | BELWestern Europe | 0.928 |
| 24 | BRBCaribbean | 0.926 |
| 25 | GBRNorthern Europe | 0.922 |
| 26 | DEUWestern Europe | 0.918 |
| 27 | CPVWestern Africa | 0.907 |
| 28 | AUTWestern Europe | 0.906 |
| 29 | VUTMelanesia | 0.903 |
| 30 | JAMCaribbean | 0.901 |
| 31 | NAMSouthern Africa | 0.898 |
| 32 | BTNSouthern Asia | 0.896 |
| 33 | SVNSouthern Europe | 0.894 |
| 34 | TUNNorthern Africa | 0.883 |
| 35 | BRASouth America | 0.881 |
| 36 | ISRWestern Asia | 0.880 |
| 37 | ITASouthern Europe | 0.878 |
| 38 | GMBWestern Africa | 0.876 |
| 39 | TWNEastern Asia | 0.872 |
| 40 | LKASouthern Asia | 0.869 |
| 41 | JPNEastern Asia | 0.868 |
| =42 | CZEEastern Europe | 0.863 |
| =42 | LUXWestern Europe | 0.863 |
| =44 | BGREastern Europe | 0.860 |
| =44 | CYPWestern Asia | 0.860 |
| 46 | MUSEastern Africa | 0.858 |
| 47 | ZAFSouthern Africa | 0.856 |
| 48 | HKGEastern Asia | 0.855 |
| 49 | GHAWestern Africa | 0.844 |
| 50 | MNGEastern Asia | 0.843 |
| 51 | GRCSouthern Europe | 0.842 |
| 52 | SURSouth America | 0.836 |
| 53 | COLSouth America | 0.835 |
| 54 | SYCEastern Africa | 0.831 |
| 55 | SVKEastern Europe | 0.829 |
| 56 | TTOCaribbean | 0.827 |
| 57 | NPLSouthern Asia | 0.825 |
| 58 | TZAEastern Africa | 0.818 |
| 59 | HRVSouthern Europe | 0.817 |
| =60 | BWASouthern Africa | 0.812 |
| =60 | PERSouth America | 0.812 |
| 62 | PNGMelanesia | 0.799 |
| 63 | BENWestern Africa | 0.788 |
| 64 | SLBMelanesia | 0.785 |
| 65 | SGPSouth-eastern Asia | 0.780 |
| 66 | LSOSouthern Africa | 0.779 |
| 67 | INDSouthern Asia | 0.777 |
| =68 | KENEastern Africa | 0.773 |
| =68 | MDAEastern Europe | 0.773 |
| 70 | IDNSouth-eastern Asia | 0.765 |
| 71 | MNESouthern Europe | 0.764 |
| 72 | ROUEastern Europe | 0.756 |
| 73 | ARGSouth America | 0.750 |
| 74 | KWTWestern Asia | 0.743 |
| 75 | GTMCentral America | 0.742 |
| 76 | HUNEastern Europe | 0.741 |
| 77 | MWIEastern Africa | 0.724 |
| 78 | STPMiddle Africa | 0.723 |
| 79 | MLTSouthern Europe | 0.717 |
| 80 | BFAWestern Africa | 0.704 |
| 81 | SENWestern Africa | 0.701 |
| 82 | MEXCentral America | 0.700 |
| 83 | PAKSouthern Asia | 0.698 |
| 84 | ALBSouthern Europe | 0.690 |
| 85 | GUYSouth America | 0.688 |
| 86 | POLEastern Europe | 0.678 |
| 87 | TLSSouth-eastern Asia | 0.677 |
| =88 | SLVCentral America | 0.655 |
| =88 | PHLSouth-eastern Asia | 0.655 |
| 90 | MOZEastern Africa | 0.653 |
| =91 | LBRWestern Africa | 0.649 |
| =91 | MARNorthern Africa | 0.649 |
| 93 | JORWestern Asia | 0.634 |
| 94 | EGYNorthern Africa | 0.623 |
| 95 | ZMBEastern Africa | 0.614 |
| 96 | XKXSouthern Europe | 0.613 |
| 97 | MLIWestern Africa | 0.611 |
| 98 | BIHSouthern Europe | 0.610 |
| 99 | NERWestern Africa | 0.609 |
| 100 | LAOSouth-eastern Asia | 0.605 |
| 101 | THASouth-eastern Asia | 0.602 |
| 102 | GNBWestern Africa | 0.594 |
| 103 | GEOWestern Asia | 0.587 |
| 104 | PRYSouth America | 0.581 |
| 105 | NGAWestern Africa | 0.555 |
| 106 | PANCentral America | 0.549 |
| 107 | MYSSouth-eastern Asia | 0.532 |
| 108 | HNDCentral America | 0.530 |
| 109 | FJIMelanesia | 0.524 |
| 110 | SRBSouthern Europe | 0.488 |
| 111 | MMRSouth-eastern Asia | 0.480 |
| 112 | LBNWestern Asia | 0.478 |
| 113 | CIVWestern Africa | 0.476 |
| 114 | MKDSouthern Europe | 0.470 |
| 115 | DOMCaribbean | 0.451 |
| 116 | ZWEEastern Africa | 0.449 |
| 117 | SLEWestern Africa | 0.442 |
| 118 | KGZCentral Asia | 0.437 |
| 119 | LBYNorthern Africa | 0.412 |
| 120 | OMNWestern Asia | 0.410 |
| 121 | BOLSouth America | 0.394 |
| 122 | IRQWestern Asia | 0.391 |
| 123 | MDGEastern Africa | 0.386 |
| 124 | QATWestern Asia | 0.379 |
| 125 | CAFMiddle Africa | 0.370 |
| 126 | UGAEastern Africa | 0.319 |
| 127 | COMEastern Africa | 0.317 |
| 128 | SWZSouthern Africa | 0.310 |
| 129 | SOMEastern Africa | 0.300 |
| 130 | GABMiddle Africa | 0.299 |
| 131 | ECUSouth America | 0.275 |
| 132 | SAUWestern Asia | 0.262 |
| 133 | MDVSouthern Asia | 0.261 |
| 134 | ARMWestern Asia | 0.248 |
| 135 | SomalilandXSLEastern Africa | 0.234 |
| 136 | MRTWestern Africa | 0.230 |
| 137 | AFGSouthern Asia | 0.226 |
| 138 | DJIEastern Africa | 0.223 |
| 139 | GINWestern Africa | 0.219 |
| =140 | HTICaribbean | 0.218 |
| =140 | TGOWestern Africa | 0.218 |
| 142 | VNMSouth-eastern Asia | 0.211 |
| 143 | AGOMiddle Africa | 0.210 |
| 144 | AREWestern Asia | 0.205 |
| 145 | UKREastern Europe | 0.202 |
| 146 | BGDSouthern Asia | 0.201 |
| 147 | RWAEastern Africa | 0.198 |
| 148 | CODMiddle Africa | 0.177 |
| 149 | IRNSouthern Asia | 0.158 |
| =150 | ETHEastern Africa | 0.149 |
| =150 | COGMiddle Africa | 0.149 |
| 152 | CMRMiddle Africa | 0.141 |
| 153 | SSDEastern Africa | 0.136 |
| 154 | TURWestern Asia | 0.135 |
| 155 | DZANorthern Africa | 0.133 |
| 156 | KAZCentral Asia | 0.120 |
| 157 | SDNNorthern Africa | 0.109 |
| 158 | BHRWestern Asia | 0.107 |
| 159 | TCDMiddle Africa | 0.106 |
| 160 | KHMSouth-eastern Asia | 0.105 |
| 161 | CUBCaribbean | 0.104 |
| 162 | YEMWestern Asia | 0.102 |
| 163 | CHNEastern Asia | 0.089 |
| 164 | RUSEastern Europe | 0.065 |
| 165 | BDIEastern Africa | 0.057 |
| 166 | SYRWestern Asia | 0.051 |
| 167 | TKMCentral Asia | 0.048 |
| 168 | BLREastern Europe | 0.034 |
| 169 | NICCentral America | 0.032 |
| 170 | TJKCentral Asia | 0.031 |
| =171 | GNQMiddle Africa | 0.025 |
| =171 | VENSouth America | 0.025 |
| 173 | UZBCentral Asia | 0.019 |
| =174 | AZEWestern Asia | 0.014 |
| =174 | ERIEastern Africa | 0.014 |
| 176 | PRKEastern Asia | 0.004 |
02In 2017
At either end
The 5 countries at each end of the headline.
Highest
- 1
Australia0.988
- 2
Switzerland0.987
- 3
Denmarkshared0.984
- 3
Norwayshared0.984
- 5
Finland0.976
Lowest
- 176
North Korea0.004
- 174
Eritreashared0.014
- 174
Azerbaijanshared0.014
- 173
Uzbekistan0.019
- 171
Venezuelashared0.025
A higher value is the better result. The middle country reads 0.655. “Shared” marks a value another country also holds.
032016 → 2017
Since 2016
What changed between 2016 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 130values changed, of 176 in both
- 59 · 71rose · fell
- 46unchanged
Rose most
Gambia0.252 → 0.876+0.624
North Macedonia0.200 → 0.470+0.270
South Korea0.755 → 0.929+0.174
Benin0.632 → 0.788+0.156
Somalia0.164 → 0.300+0.136
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 2017.
163 distinct values among 176
Values are stored exactly as published, to 3 decimals. 2 countries share 0.984. 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-2017-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 (2017). Judicial Constraints on the Executive Index, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2017
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2016176 countries
The year after ›
Judicial Constraints on the Executive Index, 2018176 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, 2017: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2017?
Australia, at 0.988, of the 176 countries in the file.
What year does Judicial Constraints on the Executive Index, 2017 describe?
2017.
How many countries does Judicial Constraints on the Executive Index, 2017 cover?
176.
Where can I download Judicial Constraints on the Executive Index, 2017?
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, 2017 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.