Data for 2020
Judicial Constraints on the Executive Index, 2020
2020, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2020 covers 176 countries. Australia is highest, at 0.988; North Korea is lowest, at 0.004. The middle country reads 0.665. Against 2019, 148 values changed (84 up, 64 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2020
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, 2020, 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 | DNKNorthern Europe | 0.985 |
| 3 | CHEWestern Europe | 0.982 |
| 4 | FINNorthern Europe | 0.978 |
| 5 | NZLAustralia and New Zealand | 0.974 |
| 6 | SWENorthern Europe | 0.972 |
| =7 | NLDWestern Europe | 0.967 |
| =7 | NORNorthern Europe | 0.967 |
| =9 | LTUNorthern Europe | 0.964 |
| =9 | ESPSouthern Europe | 0.964 |
| 11 | LVANorthern Europe | 0.963 |
| 12 | URYSouth America | 0.962 |
| 13 | IRLNorthern Europe | 0.957 |
| 14 | CRICentral America | 0.952 |
| 15 | ISLNorthern Europe | 0.948 |
| 16 | FRAWestern Europe | 0.946 |
| 17 | ESTNorthern Europe | 0.935 |
| 18 | PRTSouthern Europe | 0.934 |
| =19 | CPVWestern Africa | 0.932 |
| =19 | VUTMelanesia | 0.932 |
| 21 | CHLSouth America | 0.931 |
| 22 | USANorthern America | 0.928 |
| =23 | BRBCaribbean | 0.926 |
| =23 | BELWestern Europe | 0.926 |
| =23 | BTNSouthern Asia | 0.926 |
| 26 | GBRNorthern Europe | 0.922 |
| 27 | DEUWestern Europe | 0.918 |
| 28 | SVKEastern Europe | 0.913 |
| 29 | KOREastern Asia | 0.903 |
| 30 | CANNorthern America | 0.901 |
| 31 | AUTWestern Europe | 0.900 |
| 32 | JAMCaribbean | 0.893 |
| 33 | ISRWestern Asia | 0.881 |
| 34 | HRVSouthern Europe | 0.878 |
| 35 | TWNEastern Asia | 0.876 |
| 36 | TUNNorthern Africa | 0.874 |
| 37 | GMBWestern Africa | 0.872 |
| 38 | JPNEastern Asia | 0.871 |
| 39 | ZAFSouthern Africa | 0.867 |
| 40 | CZEEastern Europe | 0.864 |
| 41 | ITASouthern Europe | 0.861 |
| =42 | PNGMelanesia | 0.860 |
| =42 | SYCEastern Africa | 0.860 |
| =44 | ROUEastern Europe | 0.858 |
| =44 | SVNSouthern Europe | 0.858 |
| =46 | LUXWestern Europe | 0.856 |
| =46 | SURSouth America | 0.856 |
| 48 | CYPWestern Asia | 0.845 |
| =49 | GRCSouthern Europe | 0.843 |
| =49 | MNGEastern Asia | 0.843 |
| 51 | PERSouth America | 0.842 |
| 52 | BWASouthern Africa | 0.841 |
| 53 | TTOCaribbean | 0.827 |
| 54 | COLSouth America | 0.820 |
| 55 | NAMSouthern Africa | 0.819 |
| 56 | GHAWestern Africa | 0.814 |
| 57 | SGPSouth-eastern Asia | 0.813 |
| 58 | TZAEastern Africa | 0.810 |
| 59 | BGREastern Europe | 0.807 |
| =60 | BRASouth America | 0.806 |
| =60 | MUSEastern Africa | 0.806 |
| 62 | MDAEastern Europe | 0.795 |
| =63 | MNESouthern Europe | 0.794 |
| =63 | SLBMelanesia | 0.794 |
| 65 | MLTSouthern Europe | 0.785 |
| 66 | ARGSouth America | 0.783 |
| 67 | MWIEastern Africa | 0.772 |
| 68 | LSOSouthern Africa | 0.767 |
| 69 | MYSSouth-eastern Asia | 0.761 |
| 70 | MDVSouthern Asia | 0.757 |
| 71 | INDSouthern Asia | 0.753 |
| 72 | STPMiddle Africa | 0.746 |
| =73 | KENEastern Africa | 0.744 |
| =73 | NPLSouthern Asia | 0.744 |
| 75 | KWTWestern Asia | 0.743 |
| 76 | IDNSouth-eastern Asia | 0.741 |
| 77 | ALBSouthern Europe | 0.733 |
| 78 | PAKSouthern Asia | 0.731 |
| 79 | DOMCaribbean | 0.721 |
| 80 | GUYSouth America | 0.710 |
| 81 | HKGEastern Asia | 0.707 |
| 82 | SENWestern Africa | 0.704 |
| 83 | GTMCentral America | 0.688 |
| 84 | BFAWestern Africa | 0.687 |
| 85 | LKASouthern Asia | 0.681 |
| 86 | JORWestern Asia | 0.680 |
| 87 | HUNEastern Europe | 0.672 |
| 88 | TLSSouth-eastern Asia | 0.671 |
| 89 | XKXSouthern Europe | 0.658 |
| 90 | SLEWestern Africa | 0.657 |
| 91 | MLIWestern Africa | 0.637 |
| 92 | MARNorthern Africa | 0.636 |
| 93 | PHLSouth-eastern Asia | 0.635 |
| 94 | MOZEastern Africa | 0.627 |
| 95 | PRYSouth America | 0.618 |
| 96 | EGYNorthern Africa | 0.613 |
| 97 | THASouth-eastern Asia | 0.611 |
| =98 | GEOWestern Asia | 0.610 |
| =98 | MEXCentral America | 0.610 |
| 100 | PANCentral America | 0.597 |
| 101 | ECUSouth America | 0.592 |
| 102 | ZMBEastern Africa | 0.587 |
| 103 | LBRWestern Africa | 0.583 |
| 104 | HNDCentral America | 0.573 |
| 105 | POLEastern Europe | 0.572 |
| 106 | ARMWestern Asia | 0.565 |
| 107 | FJIMelanesia | 0.564 |
| 108 | LAOSouth-eastern Asia | 0.562 |
| 109 | BENWestern Africa | 0.561 |
| 110 | BIHSouthern Europe | 0.550 |
| 111 | NGAWestern Africa | 0.531 |
| 112 | GNBWestern Africa | 0.526 |
| 113 | MMRSouth-eastern Asia | 0.506 |
| 114 | NERWestern Africa | 0.494 |
| 115 | SLVCentral America | 0.482 |
| 116 | SRBSouthern Europe | 0.479 |
| 117 | LBNWestern Asia | 0.477 |
| 118 | MKDSouthern Europe | 0.445 |
| 119 | CIVWestern Africa | 0.438 |
| 120 | KGZCentral Asia | 0.427 |
| 121 | OMNWestern Asia | 0.410 |
| 122 | QATWestern Asia | 0.351 |
| 123 | SWZSouthern Africa | 0.345 |
| 124 | LBYNorthern Africa | 0.334 |
| 125 | IRQWestern Asia | 0.311 |
| 126 | CODMiddle Africa | 0.305 |
| 127 | BOLSouth America | 0.303 |
| 128 | ZWEEastern Africa | 0.295 |
| 129 | SAUWestern Asia | 0.288 |
| 130 | UGAEastern Africa | 0.280 |
| =131 | DJIEastern Africa | 0.268 |
| =131 | UKREastern Europe | 0.268 |
| 133 | CAFMiddle Africa | 0.265 |
| 134 | ETHEastern Africa | 0.255 |
| 135 | SDNNorthern Africa | 0.250 |
| 136 | MDGEastern Africa | 0.237 |
| 137 | GINWestern Africa | 0.236 |
| 138 | AGOMiddle Africa | 0.225 |
| 139 | MRTWestern Africa | 0.224 |
| 140 | SomalilandXSLEastern Africa | 0.215 |
| 141 | RWAEastern Africa | 0.214 |
| 142 | HTICaribbean | 0.212 |
| 143 | GABMiddle Africa | 0.211 |
| 144 | AFGSouthern Asia | 0.210 |
| 145 | AREWestern Asia | 0.209 |
| 146 | SSDEastern Africa | 0.201 |
| 147 | COMEastern Africa | 0.200 |
| 148 | TGOWestern Africa | 0.194 |
| 149 | BGDSouthern Asia | 0.185 |
| 150 | SOMEastern Africa | 0.175 |
| 151 | COGMiddle Africa | 0.163 |
| 152 | KAZCentral Asia | 0.156 |
| 153 | IRNSouthern Asia | 0.154 |
| 154 | TURWestern Asia | 0.153 |
| 155 | DZANorthern Africa | 0.152 |
| 156 | CMRMiddle Africa | 0.145 |
| 157 | VNMSouth-eastern Asia | 0.143 |
| 158 | YEMWestern Asia | 0.128 |
| 159 | TCDMiddle Africa | 0.123 |
| 160 | BHRWestern Asia | 0.107 |
| 161 | KHMSouth-eastern Asia | 0.105 |
| 162 | CUBCaribbean | 0.104 |
| 163 | UZBCentral Asia | 0.079 |
| 164 | TKMCentral Asia | 0.072 |
| 165 | SYRWestern Asia | 0.061 |
| 166 | RUSEastern Europe | 0.060 |
| 167 | BDIEastern Africa | 0.059 |
| 168 | ERIEastern Africa | 0.044 |
| 169 | CHNEastern Asia | 0.042 |
| 170 | TJKCentral Asia | 0.038 |
| 171 | AZEWestern Asia | 0.025 |
| 172 | VENSouth America | 0.024 |
| 173 | BLREastern Europe | 0.018 |
| 174 | GNQMiddle Africa | 0.013 |
| 175 | NICCentral America | 0.006 |
| 176 | PRKEastern Asia | 0.004 |
02In 2020
At either end
The 5 countries at each end of the headline.
Highest
- 1
Australia0.988
- 2
Denmark0.985
- 3
Switzerland0.982
- 4
Finland0.978
- 5
New Zealand0.974
Lowest
- 176
North Korea0.004
- 175
Nicaragua0.006
- 174
Equatorial Guinea0.013
- 173
Belarus0.018
- 172
Venezuela0.024
A higher value is the better result. The middle country reads 0.665. “Shared” marks a value another country also holds.
032019 → 2020
Since 2019
What changed between 2019 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 148values changed, of 176 in both
- 84 · 64rose · fell
- 28unchanged
Rose most
Romania0.586 → 0.858+0.272
Dominican Republic0.478 → 0.721+0.243
Sierra Leone0.487 → 0.657+0.170
Moldova0.659 → 0.795+0.136
Pakistan0.653 → 0.731+0.078
Fell most
Sri Lanka0.875 → 0.681−0.194
Hong Kong0.853 → 0.707−0.146
Armenia0.705 → 0.565−0.140
Central African Republic0.384 → 0.265−0.119
El Salvador0.575 → 0.482−0.093
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 2020.
162 distinct values among 176
Values are stored exactly as published, to 3 decimals. 3 countries share 0.926. 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-2020-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 (2020). Judicial Constraints on the Executive Index, 2020 [data set], describing 2020. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2020
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2019176 countries
The year after ›
Judicial Constraints on the Executive Index, 2021176 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, 2020: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2020?
Australia, at 0.988, of the 176 countries in the file.
What year does Judicial Constraints on the Executive Index, 2020 describe?
2020.
How many countries does Judicial Constraints on the Executive Index, 2020 cover?
176.
Where can I download Judicial Constraints on the Executive Index, 2020?
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, 2020 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.