Data for 2016
Judicial Constraints on the Executive Index, 2016
2016, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2016 covers 176 countries. Denmark is highest, at 0.988; North Korea is lowest, at 0.004. The middle country reads 0.652. Against 2015, 91 values changed (41 up, 50 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2016
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, 2016, 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 | AUSAustralia and New Zealand | 0.987 |
| =2 | CHEWestern Europe | 0.987 |
| 4 | NORNorthern Europe | 0.984 |
| 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 |
| =9 | USANorthern America | 0.962 |
| =11 | ESTNorthern Europe | 0.953 |
| =11 | LVANorthern Europe | 0.953 |
| =11 | PRTSouthern Europe | 0.953 |
| =14 | CRICentral America | 0.952 |
| =14 | DEUWestern Europe | 0.952 |
| =14 | IRLNorthern Europe | 0.952 |
| 17 | NLDWestern Europe | 0.949 |
| 18 | URYSouth America | 0.947 |
| 19 | FRAWestern Europe | 0.946 |
| 20 | ISLNorthern Europe | 0.943 |
| 21 | ESPSouthern Europe | 0.942 |
| 22 | BELWestern Europe | 0.928 |
| 23 | CANNorthern America | 0.925 |
| =24 | CPVWestern Africa | 0.922 |
| =24 | ROUEastern Europe | 0.922 |
| =24 | GBRNorthern Europe | 0.922 |
| 27 | BRBCaribbean | 0.912 |
| 28 | BTNSouthern Asia | 0.911 |
| 29 | AUTWestern Europe | 0.906 |
| 30 | NAMSouthern Africa | 0.904 |
| 31 | VUTMelanesia | 0.903 |
| 32 | SVNSouthern Europe | 0.893 |
| 33 | CZEEastern Europe | 0.891 |
| 34 | LKASouthern Asia | 0.888 |
| 35 | ISRWestern Asia | 0.885 |
| 36 | TWNEastern Asia | 0.874 |
| =37 | BRASouth America | 0.872 |
| =37 | CYPWestern Asia | 0.872 |
| 39 | ITASouthern Europe | 0.871 |
| 40 | JPNEastern Asia | 0.868 |
| =41 | JAMCaribbean | 0.864 |
| =41 | TUNNorthern Africa | 0.864 |
| 43 | LUXWestern Europe | 0.863 |
| 44 | BGREastern Europe | 0.860 |
| 45 | HKGEastern Asia | 0.855 |
| =46 | SYCEastern Africa | 0.846 |
| =46 | ZAFSouthern Africa | 0.846 |
| 48 | GRCSouthern Europe | 0.842 |
| 49 | TZAEastern Africa | 0.835 |
| 50 | SVKEastern Europe | 0.830 |
| 51 | SURSouth America | 0.828 |
| 52 | TTOCaribbean | 0.827 |
| 53 | NPLSouthern Asia | 0.825 |
| =54 | COLSouth America | 0.823 |
| =54 | PERSouth America | 0.823 |
| 56 | BWASouthern Africa | 0.820 |
| 57 | HRVSouthern Europe | 0.814 |
| 58 | GHAWestern Africa | 0.808 |
| 59 | MNGEastern Asia | 0.807 |
| =60 | INDSouthern Asia | 0.800 |
| =60 | MUSEastern Africa | 0.800 |
| 62 | PNGMelanesia | 0.799 |
| 63 | SGPSouth-eastern Asia | 0.797 |
| 64 | SLBMelanesia | 0.776 |
| 65 | IDNSouth-eastern Asia | 0.771 |
| 66 | POLEastern Europe | 0.765 |
| 67 | LSOSouthern Africa | 0.757 |
| 68 | MNESouthern Europe | 0.756 |
| 69 | KOREastern Asia | 0.755 |
| 70 | ARGSouth America | 0.751 |
| 71 | MDAEastern Europe | 0.749 |
| =72 | HUNEastern Europe | 0.747 |
| =72 | KENEastern Africa | 0.747 |
| 74 | ALBSouthern Europe | 0.746 |
| 75 | STPMiddle Africa | 0.745 |
| 76 | KWTWestern Asia | 0.743 |
| 77 | MWIEastern Africa | 0.728 |
| 78 | GTMCentral America | 0.726 |
| 79 | ZMBEastern Africa | 0.723 |
| 80 | MLTSouthern Europe | 0.717 |
| 81 | BFAWestern Africa | 0.704 |
| 82 | MEXCentral America | 0.700 |
| =83 | PAKSouthern Asia | 0.698 |
| =83 | SENWestern Africa | 0.698 |
| 85 | GUYSouth America | 0.693 |
| 86 | PHLSouth-eastern Asia | 0.691 |
| 87 | TLSSouth-eastern Asia | 0.677 |
| 88 | SLVCentral America | 0.665 |
| 89 | NERWestern Africa | 0.639 |
| 90 | LAOSouth-eastern Asia | 0.638 |
| =91 | BENWestern Africa | 0.632 |
| =91 | GEOWestern Asia | 0.632 |
| 93 | MOZEastern Africa | 0.631 |
| 94 | MLIWestern Africa | 0.630 |
| 95 | EGYNorthern Africa | 0.622 |
| 96 | BIHSouthern Europe | 0.607 |
| 97 | XKXSouthern Europe | 0.606 |
| 98 | THASouth-eastern Asia | 0.602 |
| 99 | JORWestern Asia | 0.593 |
| 100 | LBRWestern Africa | 0.580 |
| 101 | GNBWestern Africa | 0.575 |
| =102 | NGAWestern Africa | 0.567 |
| =102 | PRYSouth America | 0.567 |
| 104 | MYSSouth-eastern Asia | 0.564 |
| 105 | MARNorthern Africa | 0.560 |
| 106 | HNDCentral America | 0.551 |
| 107 | FJIMelanesia | 0.539 |
| 108 | SRBSouthern Europe | 0.524 |
| 109 | CIVWestern Africa | 0.518 |
| 110 | PANCentral America | 0.490 |
| 111 | LBNWestern Asia | 0.484 |
| 112 | MMRSouth-eastern Asia | 0.480 |
| 113 | ZWEEastern Africa | 0.457 |
| 114 | KGZCentral Asia | 0.455 |
| 115 | DOMCaribbean | 0.451 |
| 116 | LBYNorthern Africa | 0.446 |
| =117 | BOLSouth America | 0.413 |
| =117 | QATWestern Asia | 0.413 |
| 119 | OMNWestern Asia | 0.410 |
| 120 | SLEWestern Africa | 0.405 |
| 121 | CAFMiddle Africa | 0.400 |
| 122 | IRQWestern Asia | 0.387 |
| 123 | MDGEastern Africa | 0.386 |
| 124 | COMEastern Africa | 0.351 |
| 125 | UGAEastern Africa | 0.337 |
| 126 | TURWestern Asia | 0.315 |
| 127 | SWZSouthern Africa | 0.314 |
| 128 | GABMiddle Africa | 0.293 |
| 129 | MDVSouthern Asia | 0.288 |
| 130 | SAUWestern Asia | 0.262 |
| 131 | GMBWestern Africa | 0.252 |
| 132 | RWAEastern Africa | 0.251 |
| 133 | TGOWestern Africa | 0.238 |
| 134 | ARMWestern Asia | 0.235 |
| 135 | SomalilandXSLEastern Africa | 0.234 |
| 136 | AFGSouthern Asia | 0.224 |
| 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 | AREWestern Asia | 0.205 |
| 143 | MRTWestern Africa | 0.203 |
| 144 | MKDSouthern Europe | 0.200 |
| 145 | BGDSouthern Asia | 0.197 |
| 146 | HTICaribbean | 0.190 |
| 147 | ECUSouth America | 0.177 |
| 148 | DZANorthern Africa | 0.173 |
| 149 | IRNSouthern Asia | 0.167 |
| 150 | SOMEastern Africa | 0.164 |
| 151 | ETHEastern Africa | 0.163 |
| 152 | UKREastern Europe | 0.160 |
| 153 | COGMiddle Africa | 0.149 |
| 154 | CMRMiddle Africa | 0.141 |
| 155 | KHMSouth-eastern Asia | 0.135 |
| 156 | YEMWestern Asia | 0.125 |
| 157 | SSDEastern Africa | 0.117 |
| =158 | TCDMiddle Africa | 0.112 |
| =158 | KAZCentral Asia | 0.112 |
| 160 | BHRWestern Asia | 0.107 |
| 161 | CUBCaribbean | 0.104 |
| 162 | CHNEastern Asia | 0.091 |
| 163 | RUSEastern Europe | 0.077 |
| 164 | BDIEastern Africa | 0.063 |
| 165 | SDNNorthern Africa | 0.062 |
| 166 | SYRWestern Asia | 0.046 |
| 167 | NICCentral America | 0.043 |
| 168 | BLREastern Europe | 0.040 |
| 169 | TKMCentral Asia | 0.039 |
| 170 | TJKCentral Asia | 0.030 |
| 171 | GNQMiddle Africa | 0.025 |
| 172 | VENSouth America | 0.023 |
| 173 | UZBCentral Asia | 0.021 |
| 174 | AZEWestern Asia | 0.013 |
| 175 | ERIEastern Africa | 0.008 |
| 176 | PRKEastern Asia | 0.004 |
02In 2016
At either end
The 5 countries at each end of the headline.
Highest
- 1
Denmark0.988
- 2
Australiashared0.987
- 2
Switzerlandshared0.987
- 4
Norway0.984
- 5
Finland0.976
Lowest
- 176
North Korea0.004
- 175
Eritrea0.008
- 174
Azerbaijan0.013
- 173
Uzbekistan0.021
- 172
Venezuela0.023
A higher value is the better result. The middle country reads 0.652. “Shared” marks a value another country also holds.
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 91values changed, of 176 in both
- 41 · 50rose · fell
- 85unchanged
Rose most
Fell most
Türkiye0.551 → 0.315−0.236
Somalia0.343 → 0.164−0.179
Poland0.867 → 0.765−0.102
Philippines0.778 → 0.691−0.087
Moldova0.803 → 0.749−0.054
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 2016.
157 distinct values among 176
Values are stored exactly as published, to 3 decimals. 3 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-2016-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 (2016). Judicial Constraints on the Executive Index, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2016
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2015176 countries
The year after ›
Judicial Constraints on the Executive Index, 2017176 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, 2016: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2016?
Denmark, at 0.988, of the 176 countries in the file.
What year does Judicial Constraints on the Executive Index, 2016 describe?
2016.
How many countries does Judicial Constraints on the Executive Index, 2016 cover?
176.
Where can I download Judicial Constraints on the Executive Index, 2016?
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, 2016 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.