Data for 2019
Judicial Constraints on the Executive Index, 2019
2019, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2019 covers 176 countries. 2 countries share the highest reading, 0.987; North Korea is lowest, at 0.004. The middle country reads 0.656. Against 2018, 136 values changed (52 up, 84 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2019
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, 2019, 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 | NORNorthern Europe | 0.978 |
| 5 | FINNorthern Europe | 0.976 |
| 6 | NZLAustralia and New Zealand | 0.974 |
| 7 | SWENorthern Europe | 0.972 |
| 8 | PRTSouthern Europe | 0.971 |
| 9 | NLDWestern Europe | 0.965 |
| =10 | LTUNorthern Europe | 0.964 |
| =10 | ESPSouthern Europe | 0.964 |
| 12 | LVANorthern Europe | 0.963 |
| 13 | IRLNorthern Europe | 0.957 |
| 14 | CRICentral America | 0.952 |
| 15 | URYSouth America | 0.949 |
| =16 | CANNorthern America | 0.947 |
| =16 | USANorthern America | 0.947 |
| 18 | FRAWestern Europe | 0.946 |
| 19 | ESTNorthern Europe | 0.944 |
| 20 | ISLNorthern Europe | 0.943 |
| 21 | BTNSouthern Asia | 0.938 |
| 22 | VUTMelanesia | 0.930 |
| 23 | BRBCaribbean | 0.926 |
| 24 | AUTWestern Europe | 0.925 |
| 25 | DEUWestern Europe | 0.918 |
| =26 | BELWestern Europe | 0.916 |
| =26 | GBRNorthern Europe | 0.916 |
| 28 | CHLSouth America | 0.913 |
| 29 | CPVWestern Africa | 0.912 |
| 30 | SVNSouthern Europe | 0.906 |
| 31 | KOREastern Asia | 0.903 |
| 32 | JAMCaribbean | 0.890 |
| 33 | TUNNorthern Africa | 0.887 |
| 34 | TWNEastern Asia | 0.876 |
| 35 | LKASouthern Asia | 0.875 |
| 36 | JPNEastern Asia | 0.868 |
| =37 | ISRWestern Asia | 0.867 |
| =37 | ZAFSouthern Africa | 0.867 |
| 39 | LUXWestern Europe | 0.863 |
| 40 | ITASouthern Europe | 0.861 |
| =41 | GMBWestern Africa | 0.859 |
| =41 | GRCSouthern Europe | 0.859 |
| =43 | CYPWestern Asia | 0.853 |
| =43 | HKGEastern Asia | 0.853 |
| 45 | MUSEastern Africa | 0.851 |
| =46 | BWASouthern Africa | 0.848 |
| =46 | SYCEastern Africa | 0.848 |
| 48 | CZEEastern Europe | 0.847 |
| 49 | SVKEastern Europe | 0.845 |
| 50 | SURSouth America | 0.834 |
| 51 | PERSouth America | 0.832 |
| 52 | TTOCaribbean | 0.827 |
| 53 | HRVSouthern Europe | 0.823 |
| 54 | COLSouth America | 0.819 |
| 55 | GHAWestern Africa | 0.818 |
| 56 | BGREastern Europe | 0.815 |
| 57 | BRASouth America | 0.806 |
| 58 | PNGMelanesia | 0.804 |
| 59 | MNGEastern Asia | 0.803 |
| =60 | SGPSouth-eastern Asia | 0.780 |
| =60 | SLBMelanesia | 0.780 |
| 62 | INDSouthern Asia | 0.766 |
| 63 | NAMSouthern Africa | 0.765 |
| =64 | LSOSouthern Africa | 0.761 |
| =64 | MYSSouth-eastern Asia | 0.761 |
| 66 | TZAEastern Africa | 0.758 |
| =67 | IDNSouth-eastern Asia | 0.754 |
| =67 | MNESouthern Europe | 0.754 |
| 69 | NPLSouthern Asia | 0.751 |
| 70 | KENEastern Africa | 0.744 |
| 71 | KWTWestern Asia | 0.743 |
| =72 | ARGSouth America | 0.732 |
| =72 | STPMiddle Africa | 0.732 |
| 74 | MWIEastern Africa | 0.721 |
| 75 | MLTSouthern Europe | 0.711 |
| 76 | HUNEastern Europe | 0.710 |
| 77 | ARMWestern Asia | 0.705 |
| 78 | ALBSouthern Europe | 0.699 |
| 79 | GUYSouth America | 0.696 |
| 80 | GTMCentral America | 0.691 |
| 81 | MEXCentral America | 0.688 |
| =82 | BFAWestern Africa | 0.680 |
| =82 | MDVSouthern Asia | 0.680 |
| 84 | SENWestern Africa | 0.674 |
| 85 | XKXSouthern Europe | 0.671 |
| 86 | MLIWestern Africa | 0.665 |
| 87 | TLSSouth-eastern Asia | 0.663 |
| 88 | MDAEastern Europe | 0.659 |
| =89 | JORWestern Asia | 0.653 |
| =89 | PAKSouthern Asia | 0.653 |
| 91 | ZMBEastern Africa | 0.650 |
| 92 | MARNorthern Africa | 0.649 |
| 93 | THASouth-eastern Asia | 0.621 |
| 94 | EGYNorthern Africa | 0.616 |
| 95 | PHLSouth-eastern Asia | 0.610 |
| 96 | PRYSouth America | 0.608 |
| 97 | GEOWestern Asia | 0.601 |
| 98 | ROUEastern Europe | 0.586 |
| 99 | MOZEastern Africa | 0.585 |
| 100 | BENWestern Africa | 0.578 |
| 101 | HNDCentral America | 0.577 |
| =102 | BIHSouthern Europe | 0.575 |
| =102 | SLVCentral America | 0.575 |
| 104 | LAOSouth-eastern Asia | 0.564 |
| 105 | POLEastern Europe | 0.561 |
| 106 | LBRWestern Africa | 0.555 |
| 107 | NGAWestern Africa | 0.551 |
| 108 | PANCentral America | 0.549 |
| 109 | GNBWestern Africa | 0.543 |
| 110 | ECUSouth America | 0.523 |
| 111 | NERWestern Africa | 0.520 |
| 112 | FJIMelanesia | 0.516 |
| 113 | SRBSouthern Europe | 0.499 |
| 114 | SLEWestern Africa | 0.487 |
| 115 | MMRSouth-eastern Asia | 0.484 |
| 116 | LBNWestern Asia | 0.479 |
| 117 | DOMCaribbean | 0.478 |
| 118 | CIVWestern Africa | 0.475 |
| 119 | MKDSouthern Europe | 0.471 |
| 120 | KGZCentral Asia | 0.438 |
| 121 | OMNWestern Asia | 0.410 |
| 122 | CAFMiddle Africa | 0.384 |
| 123 | ZWEEastern Africa | 0.380 |
| 124 | IRQWestern Asia | 0.374 |
| 125 | LBYNorthern Africa | 0.334 |
| 126 | SWZSouthern Africa | 0.323 |
| 127 | QATWestern Asia | 0.313 |
| 128 | UGAEastern Africa | 0.294 |
| 129 | UKREastern Europe | 0.292 |
| 130 | BOLSouth America | 0.289 |
| 131 | DJIEastern Africa | 0.268 |
| 132 | SAUWestern Asia | 0.256 |
| 133 | SomalilandXSLEastern Africa | 0.239 |
| 134 | SDNNorthern Africa | 0.238 |
| 135 | MDGEastern Africa | 0.237 |
| 136 | CODMiddle Africa | 0.234 |
| 137 | AGOMiddle Africa | 0.227 |
| 138 | MRTWestern Africa | 0.221 |
| 139 | AREWestern Asia | 0.217 |
| 140 | AFGSouthern Asia | 0.211 |
| 141 | ETHEastern Africa | 0.207 |
| 142 | GINWestern Africa | 0.205 |
| 143 | HTICaribbean | 0.201 |
| 144 | RWAEastern Africa | 0.198 |
| 145 | GABMiddle Africa | 0.196 |
| =146 | COMEastern Africa | 0.181 |
| =146 | SSDEastern Africa | 0.181 |
| 148 | TGOWestern Africa | 0.165 |
| =149 | BGDSouthern Asia | 0.164 |
| =149 | SOMEastern Africa | 0.164 |
| 151 | TURWestern Asia | 0.162 |
| 152 | IRNSouthern Asia | 0.154 |
| 153 | VNMSouth-eastern Asia | 0.150 |
| 154 | COGMiddle Africa | 0.148 |
| 155 | KAZCentral Asia | 0.133 |
| 156 | YEMWestern Asia | 0.128 |
| 157 | DZANorthern Africa | 0.125 |
| 158 | KHMSouth-eastern Asia | 0.116 |
| =159 | BHRWestern Asia | 0.107 |
| =159 | CMRMiddle Africa | 0.107 |
| 161 | CUBCaribbean | 0.104 |
| 162 | TCDMiddle Africa | 0.100 |
| 163 | TKMCentral Asia | 0.081 |
| 164 | BDIEastern Africa | 0.079 |
| 165 | CHNEastern Asia | 0.073 |
| 166 | RUSEastern Europe | 0.065 |
| 167 | UZBCentral Asia | 0.062 |
| 168 | SYRWestern Asia | 0.048 |
| 169 | BLREastern Europe | 0.041 |
| 170 | TJKCentral Asia | 0.034 |
| 171 | ERIEastern Africa | 0.019 |
| 172 | GNQMiddle Africa | 0.018 |
| 173 | AZEWestern Asia | 0.017 |
| 174 | VENSouth America | 0.016 |
| 175 | NICCentral America | 0.010 |
| 176 | PRKEastern Asia | 0.004 |
02In 2019
At either end
The 5 countries at each end of the headline.
Highest
- 1
Australiashared0.987
- 1
Switzerlandshared0.987
- 3
Denmark0.984
- 4
Norway0.978
- 5
Finland0.976
Lowest
- 176
North Korea0.004
- 175
Nicaragua0.010
- 174
Venezuela0.016
- 173
Azerbaijan0.017
- 172
Equatorial Guinea0.018
A higher value is the better result. The middle country reads 0.656. “Shared” marks a value another country also holds.
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 136values changed, of 176 in both
- 52 · 84rose · fell
- 40unchanged
Rose most
Maldives0.200 → 0.680+0.480
Sudan0.098 → 0.238+0.140
South Sudan0.062 → 0.181+0.119
Armenia0.605 → 0.705+0.100
Lesotho0.678 → 0.761+0.083
Fell most
Comoros0.307 → 0.181−0.126
Namibia0.886 → 0.765−0.121
Madagascar0.355 → 0.237−0.118
Benin0.689 → 0.578−0.111
Qatar0.395 → 0.313−0.082
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 2019.
158 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-2019-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 (2019). Judicial Constraints on the Executive Index, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2019
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2018176 countries
The year after ›
Judicial Constraints on the Executive Index, 2020176 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, 2019: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2019?
2 countries share the highest reading, 0.987, so no single country is named.
What year does Judicial Constraints on the Executive Index, 2019 describe?
2019.
How many countries does Judicial Constraints on the Executive Index, 2019 cover?
176.
Where can I download Judicial Constraints on the Executive Index, 2019?
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, 2019 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.