Data for 2018
Judicial Constraints on the Executive Index, 2018
2018, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2018 covers 176 countries. 2 countries share the highest reading, 0.987; North Korea is lowest, at 0.004. The middle country reads 0.649. Against 2017, 135 values changed (59 up, 76 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2018
Highest2 countries share it
0.987LowestNorth 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, 2018, 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 | 0.987 |
| =1 | CHEWestern Europe | 0.987 |
| 3 | DNKNorthern Europe | 0.984 |
| 4 | FINNorthern Europe | 0.980 |
| 5 | NORNorthern Europe | 0.978 |
| 6 | NZLAustralia and New Zealand | 0.974 |
| 7 | SWENorthern Europe | 0.972 |
| 8 | PRTSouthern Europe | 0.971 |
| 9 | LTUNorthern Europe | 0.964 |
| 10 | LVANorthern Europe | 0.963 |
| 11 | IRLNorthern Europe | 0.957 |
| 12 | NLDWestern Europe | 0.954 |
| 13 | ESTNorthern Europe | 0.953 |
| 14 | CRICentral America | 0.952 |
| 15 | URYSouth America | 0.949 |
| 16 | USANorthern America | 0.948 |
| 17 | FRAWestern Europe | 0.946 |
| 18 | ESPSouthern Europe | 0.945 |
| 19 | ISLNorthern Europe | 0.943 |
| 20 | CANNorthern America | 0.934 |
| 21 | BELWestern Europe | 0.928 |
| 22 | BRBCaribbean | 0.926 |
| 23 | GBRNorthern Europe | 0.922 |
| 24 | DEUWestern Europe | 0.918 |
| 25 | CPVWestern Africa | 0.916 |
| 26 | VUTMelanesia | 0.903 |
| 27 | CHLSouth America | 0.902 |
| =28 | BTNSouthern Asia | 0.900 |
| =28 | KOREastern Asia | 0.900 |
| 30 | SVNSouthern Europe | 0.894 |
| 31 | ISRWestern Asia | 0.892 |
| 32 | AUTWestern Europe | 0.891 |
| 33 | JAMCaribbean | 0.890 |
| 34 | TUNNorthern Africa | 0.887 |
| 35 | NAMSouthern Africa | 0.886 |
| 36 | LKASouthern Asia | 0.877 |
| 37 | GMBWestern Africa | 0.876 |
| 38 | ZAFSouthern Africa | 0.874 |
| 39 | TWNEastern Asia | 0.872 |
| 40 | JPNEastern Asia | 0.868 |
| 41 | GRCSouthern Europe | 0.864 |
| =42 | BWASouthern Africa | 0.863 |
| =42 | LUXWestern Europe | 0.863 |
| 44 | ITASouthern Europe | 0.861 |
| 45 | BRASouth America | 0.859 |
| 46 | CYPWestern Asia | 0.858 |
| 47 | SYCEastern Africa | 0.857 |
| 48 | CZEEastern Europe | 0.856 |
| 49 | MUSEastern Africa | 0.851 |
| 50 | MNGEastern Asia | 0.847 |
| 51 | GHAWestern Africa | 0.836 |
| 52 | SURSouth America | 0.828 |
| =53 | BGREastern Europe | 0.827 |
| =53 | TTOCaribbean | 0.827 |
| 55 | COLSouth America | 0.826 |
| 56 | NPLSouthern Asia | 0.824 |
| 57 | HKGEastern Asia | 0.823 |
| =58 | HRVSouthern Europe | 0.822 |
| =58 | SVKEastern Europe | 0.822 |
| 60 | PERSouth America | 0.816 |
| 61 | PNGMelanesia | 0.810 |
| 62 | SLBMelanesia | 0.785 |
| 63 | SGPSouth-eastern Asia | 0.780 |
| 64 | INDSouthern Asia | 0.777 |
| 65 | MNESouthern Europe | 0.764 |
| 66 | MYSSouth-eastern Asia | 0.761 |
| 67 | IDNSouth-eastern Asia | 0.758 |
| 68 | ARGSouth America | 0.749 |
| 69 | KENEastern Africa | 0.746 |
| 70 | KWTWestern Asia | 0.743 |
| 71 | TZAEastern Africa | 0.731 |
| =72 | HUNEastern Europe | 0.720 |
| =72 | MDAEastern Europe | 0.720 |
| =74 | MWIEastern Africa | 0.717 |
| =74 | MLTSouthern Europe | 0.717 |
| 76 | GTMCentral America | 0.703 |
| 77 | GUYSouth America | 0.697 |
| 78 | ALBSouthern Europe | 0.694 |
| 79 | BENWestern Africa | 0.689 |
| 80 | STPMiddle Africa | 0.685 |
| 81 | TLSSouth-eastern Asia | 0.681 |
| 82 | LSOSouthern Africa | 0.678 |
| 83 | BFAWestern Africa | 0.677 |
| 84 | PAKSouthern Asia | 0.675 |
| =85 | MEXCentral America | 0.669 |
| =85 | ZMBEastern Africa | 0.669 |
| 87 | JORWestern Asia | 0.653 |
| 88 | MARNorthern Africa | 0.649 |
| 89 | SENWestern Africa | 0.648 |
| 90 | MOZEastern Africa | 0.637 |
| 91 | SLVCentral America | 0.634 |
| 92 | BIHSouthern Europe | 0.628 |
| 93 | PHLSouth-eastern Asia | 0.620 |
| 94 | LBRWestern Africa | 0.615 |
| 95 | MLIWestern Africa | 0.612 |
| 96 | PRYSouth America | 0.606 |
| =97 | ARMWestern Asia | 0.605 |
| =97 | XKXSouthern Europe | 0.605 |
| 99 | GEOWestern Asia | 0.603 |
| 100 | THASouth-eastern Asia | 0.602 |
| 101 | EGYNorthern Africa | 0.599 |
| 102 | GNBWestern Africa | 0.594 |
| 103 | HNDCentral America | 0.589 |
| 104 | POLEastern Europe | 0.587 |
| 105 | LAOSouth-eastern Asia | 0.566 |
| 106 | NERWestern Africa | 0.560 |
| 107 | NGAWestern Africa | 0.555 |
| 108 | SRBSouthern Europe | 0.551 |
| 109 | PANCentral America | 0.549 |
| 110 | CIVWestern Africa | 0.547 |
| 111 | ROUEastern Europe | 0.530 |
| 112 | ECUSouth America | 0.528 |
| 113 | FJIMelanesia | 0.525 |
| 114 | LBNWestern Asia | 0.495 |
| 115 | MMRSouth-eastern Asia | 0.484 |
| 116 | SLEWestern Africa | 0.469 |
| 117 | DOMCaribbean | 0.451 |
| 118 | MKDSouthern Europe | 0.440 |
| 119 | KGZCentral Asia | 0.438 |
| 120 | OMNWestern Asia | 0.410 |
| =121 | CAFMiddle Africa | 0.395 |
| =121 | QATWestern Asia | 0.395 |
| 123 | ZWEEastern Africa | 0.380 |
| 124 | IRQWestern Asia | 0.376 |
| 125 | SWZSouthern Africa | 0.366 |
| 126 | LBYNorthern Africa | 0.365 |
| 127 | MDGEastern Africa | 0.355 |
| 128 | BOLSouth America | 0.341 |
| 129 | COMEastern Africa | 0.307 |
| 130 | UGAEastern Africa | 0.293 |
| 131 | MRTWestern Africa | 0.289 |
| 132 | SAUWestern Asia | 0.262 |
| 133 | UKREastern Europe | 0.247 |
| 134 | HTICaribbean | 0.238 |
| 135 | SOMEastern Africa | 0.231 |
| 136 | AGOMiddle Africa | 0.227 |
| 137 | AFGSouthern Asia | 0.226 |
| =138 | DJIEastern Africa | 0.223 |
| =138 | CODMiddle Africa | 0.223 |
| 140 | SomalilandXSLEastern Africa | 0.218 |
| 141 | AREWestern Asia | 0.217 |
| =142 | GINWestern Africa | 0.210 |
| =142 | TGOWestern Africa | 0.210 |
| 144 | RWAEastern Africa | 0.206 |
| 145 | GABMiddle Africa | 0.204 |
| 146 | MDVSouthern Asia | 0.200 |
| 147 | BGDSouthern Asia | 0.188 |
| 148 | VNMSouth-eastern Asia | 0.173 |
| 149 | COGMiddle Africa | 0.169 |
| 150 | IRNSouthern Asia | 0.156 |
| 151 | ETHEastern Africa | 0.153 |
| 152 | TURWestern Asia | 0.150 |
| 153 | DZANorthern Africa | 0.143 |
| 154 | KAZCentral Asia | 0.133 |
| 155 | CMRMiddle Africa | 0.120 |
| 156 | BHRWestern Asia | 0.107 |
| 157 | KHMSouth-eastern Asia | 0.105 |
| 158 | CUBCaribbean | 0.104 |
| 159 | TCDMiddle Africa | 0.101 |
| 160 | YEMWestern Asia | 0.100 |
| 161 | SDNNorthern Africa | 0.098 |
| 162 | CHNEastern Asia | 0.086 |
| 163 | RUSEastern Europe | 0.065 |
| 164 | TKMCentral Asia | 0.063 |
| 165 | SSDEastern Africa | 0.062 |
| =166 | BDIEastern Africa | 0.053 |
| =166 | TJKCentral Asia | 0.053 |
| 168 | SYRWestern Asia | 0.043 |
| 169 | BLREastern Europe | 0.034 |
| =170 | GNQMiddle Africa | 0.026 |
| =170 | UZBCentral Asia | 0.026 |
| 172 | VENSouth America | 0.019 |
| 173 | NICCentral America | 0.018 |
| 174 | ERIEastern Africa | 0.011 |
| 175 | AZEWestern Asia | 0.008 |
| 176 | PRKEastern Asia | 0.004 |
02In 2018
At either end
The 5 countries at each end of the headline.
Highest
- 1
Australiashared0.987
- 1
Switzerlandshared0.987
- 3
Denmark0.984
- 4
Finland0.980
- 5
Norway0.978
Lowest
- 176
North Korea0.004
- 175
Azerbaijan0.008
- 174
Eritrea0.011
- 173
Nicaragua0.018
- 172
Venezuela0.019
A higher value is the better result. The middle country reads 0.649. “Shared” marks a value another country also holds.
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 135values changed, of 176 in both
- 59 · 76rose · fell
- 41unchanged
Rose most
Armenia0.248 → 0.605+0.357
Ecuador0.275 → 0.528+0.253
Malaysia0.532 → 0.761+0.229
Côte d’Ivoire0.476 → 0.547+0.071
Serbia0.488 → 0.551+0.063
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 2018.
162 distinct values among 176
Values are stored exactly as published, to 3 decimals. 2 countries share 0.987. 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-2018-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 (2018). Judicial Constraints on the Executive Index, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2018
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2017176 countries
The year after ›
Judicial Constraints on the Executive Index, 2019176 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, 2018: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2018?
2 countries share the highest reading, 0.987, so no single country is named.
What year does Judicial Constraints on the Executive Index, 2018 describe?
2018.
How many countries does Judicial Constraints on the Executive Index, 2018 cover?
176.
Where can I download Judicial Constraints on the Executive Index, 2018?
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, 2018 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.