Data for 2001
Judicial Constraints on the Executive Index, 2001
2001, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Judicial Constraints on the Executive Index, 2001 covers 174 countries. Australia is highest, at 0.990; North Korea is lowest, at 0.004. The middle country reads 0.653. Against 2000, 29 values changed (13 up, 16 down), the same countries are covered.
Judicial Constraints on the Executive Index · Data for 2001
HighestAustralia
0.990LowestNorth 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, 2001, 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 174 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | AUSAustralia and New Zealand | 0.990 |
| 2 | DNKNorthern Europe | 0.988 |
| 3 | CHEWestern Europe | 0.987 |
| 4 | NORNorthern Europe | 0.984 |
| 5 | NZLAustralia and New Zealand | 0.974 |
| 6 | SWENorthern Europe | 0.973 |
| =7 | FINNorthern Europe | 0.968 |
| =7 | ESPSouthern Europe | 0.968 |
| 9 | LTUNorthern Europe | 0.964 |
| 10 | POLEastern Europe | 0.960 |
| 11 | PRTSouthern Europe | 0.955 |
| 12 | ESTNorthern Europe | 0.953 |
| =13 | DEUWestern Europe | 0.952 |
| =13 | IRLNorthern Europe | 0.952 |
| 15 | CRICentral America | 0.950 |
| =16 | NLDWestern Europe | 0.949 |
| =16 | USANorthern America | 0.949 |
| 18 | FRAWestern Europe | 0.944 |
| 19 | ISLNorthern Europe | 0.942 |
| 20 | CHLSouth America | 0.940 |
| 21 | CANNorthern America | 0.936 |
| 22 | BELWestern Europe | 0.933 |
| 23 | CPVWestern Africa | 0.927 |
| 24 | URYSouth America | 0.919 |
| 25 | LVANorthern Europe | 0.917 |
| 26 | AUTWestern Europe | 0.914 |
| 27 | BRBCaribbean | 0.912 |
| 28 | HUNEastern Europe | 0.910 |
| 29 | GBRNorthern Europe | 0.909 |
| 30 | ISRWestern Asia | 0.904 |
| 31 | NAMSouthern Africa | 0.896 |
| 32 | CZEEastern Europe | 0.892 |
| 33 | BWASouthern Africa | 0.889 |
| 34 | KOREastern Asia | 0.886 |
| 35 | JAMCaribbean | 0.883 |
| 36 | JPNEastern Asia | 0.882 |
| 37 | VUTMelanesia | 0.878 |
| 38 | SVKEastern Europe | 0.877 |
| 39 | MUSEastern Africa | 0.873 |
| 40 | SURSouth America | 0.872 |
| 41 | GRCSouthern Europe | 0.864 |
| 42 | LUXWestern Europe | 0.863 |
| 43 | HKGEastern Asia | 0.862 |
| 44 | ZAFSouthern Africa | 0.856 |
| =45 | BGREastern Europe | 0.855 |
| =45 | CYPWestern Asia | 0.855 |
| 47 | SVNSouthern Europe | 0.853 |
| 48 | ITASouthern Europe | 0.848 |
| 49 | TWNEastern Asia | 0.846 |
| 50 | PNGMelanesia | 0.834 |
| 51 | GHAWestern Africa | 0.831 |
| 52 | TURWestern Asia | 0.829 |
| 53 | TTOCaribbean | 0.827 |
| 54 | BRASouth America | 0.825 |
| 55 | INDSouthern Asia | 0.819 |
| 56 | COLSouth America | 0.815 |
| 57 | TLSSouth-eastern Asia | 0.812 |
| 58 | SGPSouth-eastern Asia | 0.797 |
| 59 | XKXSouthern Europe | 0.794 |
| 60 | SLBMelanesia | 0.783 |
| 61 | PERSouth America | 0.776 |
| 62 | MNGEastern Asia | 0.774 |
| 63 | NPLSouthern Asia | 0.769 |
| =64 | HRVSouthern Europe | 0.768 |
| =64 | TZAEastern Africa | 0.768 |
| 66 | MWIEastern Africa | 0.761 |
| 67 | THASouth-eastern Asia | 0.757 |
| 68 | LSOSouthern Africa | 0.751 |
| 69 | KWTWestern Asia | 0.748 |
| 70 | MDAEastern Europe | 0.746 |
| 71 | IDNSouth-eastern Asia | 0.740 |
| =72 | MLIWestern Africa | 0.738 |
| =72 | STPMiddle Africa | 0.738 |
| 74 | ZMBEastern Africa | 0.729 |
| 75 | MEXCentral America | 0.723 |
| 76 | LKASouthern Asia | 0.719 |
| =77 | MLTSouthern Europe | 0.717 |
| =77 | MNESouthern Europe | 0.717 |
| 79 | MOZEastern Africa | 0.715 |
| 80 | BTNSouthern Asia | 0.707 |
| 81 | ARGSouth America | 0.706 |
| =82 | CIVWestern Africa | 0.685 |
| =82 | PHLSouth-eastern Asia | 0.685 |
| 84 | LAOSouth-eastern Asia | 0.671 |
| 85 | GUYSouth America | 0.669 |
| =86 | BENWestern Africa | 0.658 |
| =86 | SENWestern Africa | 0.658 |
| 88 | HNDCentral America | 0.648 |
| 89 | EGYNorthern Africa | 0.645 |
| 90 | PANCentral America | 0.642 |
| 91 | NERWestern Africa | 0.635 |
| 92 | SRBSouthern Europe | 0.631 |
| 93 | GTMCentral America | 0.624 |
| 94 | ALBSouthern Europe | 0.621 |
| 95 | MKDSouthern Europe | 0.618 |
| 96 | PRYSouth America | 0.589 |
| 97 | FJIMelanesia | 0.588 |
| 98 | BIHSouthern Europe | 0.584 |
| 99 | BDIEastern Africa | 0.566 |
| 100 | MYSSouth-eastern Asia | 0.545 |
| 101 | BOLSouth America | 0.543 |
| 102 | SLVCentral America | 0.522 |
| 103 | BFAWestern Africa | 0.512 |
| 104 | MARNorthern Africa | 0.508 |
| 105 | ROUEastern Europe | 0.507 |
| 106 | SYCEastern Africa | 0.503 |
| 107 | NGAWestern Africa | 0.500 |
| 108 | JORWestern Asia | 0.498 |
| 109 | BGDSouthern Asia | 0.477 |
| 110 | QATWestern Asia | 0.462 |
| 111 | KENEastern Africa | 0.441 |
| 112 | PAKSouthern Asia | 0.433 |
| 113 | GNBWestern Africa | 0.431 |
| 114 | DOMCaribbean | 0.429 |
| =115 | SLEWestern Africa | 0.420 |
| =115 | ZWEEastern Africa | 0.420 |
| 117 | OMNWestern Asia | 0.410 |
| 118 | SWZSouthern Africa | 0.404 |
| 119 | GEOWestern Asia | 0.393 |
| 120 | MDGEastern Africa | 0.373 |
| 121 | CAFMiddle Africa | 0.369 |
| 122 | HTICaribbean | 0.366 |
| 123 | ECUSouth America | 0.355 |
| 124 | GABMiddle Africa | 0.348 |
| 125 | AGOMiddle Africa | 0.337 |
| 126 | IRQWestern Asia | 0.334 |
| 127 | VENSouth America | 0.329 |
| 128 | UGAEastern Africa | 0.326 |
| 129 | LBNWestern Asia | 0.323 |
| 130 | GMBWestern Africa | 0.318 |
| 131 | YEMWestern Asia | 0.300 |
| 132 | CHNEastern Asia | 0.275 |
| 133 | UKREastern Europe | 0.261 |
| 134 | NICCentral America | 0.253 |
| 135 | ARMWestern Asia | 0.247 |
| 136 | CODMiddle Africa | 0.245 |
| =137 | COMEastern Africa | 0.237 |
| =137 | RWAEastern Africa | 0.237 |
| =139 | KGZCentral Asia | 0.226 |
| =139 | SAUWestern Asia | 0.226 |
| 141 | DJIEastern Africa | 0.223 |
| 142 | AFGSouthern Asia | 0.217 |
| 143 | LBRWestern Africa | 0.215 |
| 144 | SomalilandXSLEastern Africa | 0.207 |
| 145 | TGOWestern Africa | 0.184 |
| 146 | AREWestern Asia | 0.183 |
| 147 | ETHEastern Africa | 0.173 |
| 148 | TCDMiddle Africa | 0.167 |
| 149 | DZANorthern Africa | 0.163 |
| 150 | RUSEastern Europe | 0.159 |
| 151 | IRNSouthern Asia | 0.153 |
| 152 | GINWestern Africa | 0.148 |
| 153 | LBYNorthern Africa | 0.129 |
| 154 | CMRMiddle Africa | 0.127 |
| 155 | COGMiddle Africa | 0.123 |
| 156 | KHMSouth-eastern Asia | 0.122 |
| 157 | TUNNorthern Africa | 0.108 |
| =158 | KAZCentral Asia | 0.094 |
| =158 | SYRWestern Asia | 0.094 |
| =160 | CUBCaribbean | 0.093 |
| =160 | MRTWestern Africa | 0.093 |
| 162 | VNMSouth-eastern Asia | 0.090 |
| 163 | SOMEastern Africa | 0.081 |
| 164 | GNQMiddle Africa | 0.053 |
| 165 | TJKCentral Asia | 0.052 |
| 166 | BLREastern Europe | 0.049 |
| 167 | AZEWestern Asia | 0.046 |
| 168 | MDVSouthern Asia | 0.043 |
| 169 | MMRSouth-eastern Asia | 0.037 |
| 170 | ERIEastern Africa | 0.032 |
| 171 | TKMCentral Asia | 0.029 |
| 172 | SDNNorthern Africa | 0.021 |
| 173 | UZBCentral Asia | 0.016 |
| 174 | PRKEastern Asia | 0.004 |
02In 2001
At either end
The 5 countries at each end of the headline.
Highest
- 1
Australia0.990
- 2
Denmark0.988
- 3
Switzerland0.987
- 4
Norway0.984
- 5
New Zealand0.974
Lowest
- 174
North Korea0.004
- 173
Uzbekistan0.016
- 172
Sudan0.021
- 171
Turkmenistan0.029
- 170
Eritrea0.032
A higher value is the better result. The middle country reads 0.653. “Shared” marks a value another country also holds.
032000 → 2001
Since 2000
What changed between 2000 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 29values changed, of 174 in both
- 13 · 16rose · fell
- 145unchanged
Rose most
Peru0.105 → 0.776+0.671
Serbia0.459 → 0.631+0.172
Bosnia and Herzegovina0.493 → 0.584+0.091
Fiji0.512 → 0.588+0.076
Uruguay0.891 → 0.919+0.028
Fell most
Russia0.224 → 0.159−0.065
Comoros0.298 → 0.237−0.061
North Macedonia0.676 → 0.618−0.058
Zimbabwe0.472 → 0.420−0.052
Nepal0.806 → 0.769−0.037
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 2001.
160 distinct values among 174
Values are stored exactly as published, to 3 decimals. 2 countries share 0.968. 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 174 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
174 rows · 4.7 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download judicial-constraints-2001-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 (2001). Judicial Constraints on the Executive Index, 2001 [data set], describing 2001. As held by Nations Inquiry, https://nationsinquiry.com/datasets/judicial-constraints/2001
0636 held
Other years
‹ The year before
Judicial Constraints on the Executive Index, 2000174 countries
The year after ›
Judicial Constraints on the Executive Index, 2002175 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, 2001: questions and answers
Which country has the highest judicial constraints on the executive in Judicial Constraints on the Executive Index, 2001?
Australia, at 0.990, of the 174 countries in the file.
What year does Judicial Constraints on the Executive Index, 2001 describe?
2001.
How many countries does Judicial Constraints on the Executive Index, 2001 cover?
174.
Where can I download Judicial Constraints on the Executive Index, 2001?
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, 2001 the newest?
No. The newest held here is Judicial Constraints on the Executive Index, 2025.