Data for 2019
Women's Political Empowerment Index, 2019
2019, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Women's Political Empowerment Index, 2019 covers 176 countries. Germany is highest, at 0.956; Yemen is lowest, at 0.138. The middle country reads 0.767. Against 2018, 168 values changed (93 up, 75 down), the same countries are covered.
Women's Political Empowerment Index · Data for 2019
HighestGermany
0.956LowestYemen
0.138Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Women's Political Empowerment 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 | DEUWestern Europe | 0.956 |
| 2 | DNKNorthern Europe | 0.955 |
| 3 | BELWestern Europe | 0.951 |
| 4 | LVANorthern Europe | 0.947 |
| =5 | ESTNorthern Europe | 0.946 |
| =5 | FINNorthern Europe | 0.946 |
| 7 | FRAWestern Europe | 0.942 |
| 8 | ESPSouthern Europe | 0.940 |
| 9 | NZLAustralia and New Zealand | 0.938 |
| 10 | CHEWestern Europe | 0.933 |
| =11 | SVNSouthern Europe | 0.932 |
| =11 | SWENorthern Europe | 0.932 |
| 13 | PRTSouthern Europe | 0.931 |
| 14 | ITASouthern Europe | 0.927 |
| 15 | AUTWestern Europe | 0.924 |
| 16 | AUSAustralia and New Zealand | 0.921 |
| 17 | JAMCaribbean | 0.920 |
| =18 | ISLNorthern Europe | 0.918 |
| =18 | NORNorthern Europe | 0.918 |
| 20 | IRLNorthern Europe | 0.917 |
| =21 | CRICentral America | 0.914 |
| =21 | GRCSouthern Europe | 0.914 |
| =21 | LTUNorthern Europe | 0.914 |
| =24 | TWNEastern Asia | 0.902 |
| =24 | URYSouth America | 0.902 |
| 26 | TTOCaribbean | 0.901 |
| =27 | CANNorthern America | 0.899 |
| =27 | LUXWestern Europe | 0.899 |
| 29 | BGREastern Europe | 0.897 |
| =30 | ALBSouthern Europe | 0.892 |
| =30 | USANorthern America | 0.892 |
| 32 | HRVSouthern Europe | 0.889 |
| 33 | ARMWestern Asia | 0.888 |
| 34 | CZEEastern Europe | 0.887 |
| 35 | SVKEastern Europe | 0.883 |
| =36 | BRBCaribbean | 0.881 |
| =36 | GEOWestern Asia | 0.881 |
| 38 | ROUEastern Europe | 0.880 |
| 39 | NLDWestern Europe | 0.879 |
| 40 | GBRNorthern Europe | 0.878 |
| 41 | SRBSouthern Europe | 0.874 |
| 42 | ISRWestern Asia | 0.872 |
| 43 | MNESouthern Europe | 0.868 |
| 44 | GUYSouth America | 0.867 |
| =45 | HKGEastern Asia | 0.864 |
| =45 | KOREastern Asia | 0.864 |
| =47 | MDAEastern Europe | 0.861 |
| =47 | POLEastern Europe | 0.861 |
| 49 | BLREastern Europe | 0.859 |
| 50 | CYPWestern Asia | 0.858 |
| =51 | ARGSouth America | 0.857 |
| =51 | MNGEastern Asia | 0.857 |
| =51 | TUNNorthern Africa | 0.857 |
| 54 | CHLSouth America | 0.854 |
| 55 | UKREastern Europe | 0.851 |
| =56 | MUSEastern Africa | 0.848 |
| =56 | ZAFSouthern Africa | 0.848 |
| 58 | SYCEastern Africa | 0.844 |
| 59 | MKDSouthern Europe | 0.842 |
| 60 | NAMSouthern Africa | 0.838 |
| 61 | HUNEastern Europe | 0.837 |
| =62 | MLTSouthern Europe | 0.836 |
| =62 | STPMiddle Africa | 0.836 |
| 64 | PERSouth America | 0.835 |
| =65 | ECUSouth America | 0.834 |
| =65 | SURSouth America | 0.834 |
| =67 | BENWestern Africa | 0.830 |
| =67 | DOMCaribbean | 0.830 |
| 69 | BIHSouthern Europe | 0.827 |
| 70 | LBRWestern Africa | 0.824 |
| 71 | SENWestern Africa | 0.817 |
| 72 | CPVWestern Africa | 0.809 |
| 73 | MEXCentral America | 0.803 |
| 74 | SGPSouth-eastern Asia | 0.797 |
| =75 | GHAWestern Africa | 0.795 |
| =75 | ZWEEastern Africa | 0.795 |
| 77 | PHLSouth-eastern Asia | 0.792 |
| 78 | JPNEastern Asia | 0.791 |
| 79 | PANCentral America | 0.790 |
| 80 | MWIEastern Africa | 0.786 |
| 81 | TZAEastern Africa | 0.785 |
| 82 | RWAEastern Africa | 0.783 |
| =83 | KAZCentral Asia | 0.780 |
| =83 | LKASouthern Asia | 0.780 |
| 85 | ZMBEastern Africa | 0.775 |
| 86 | BTNSouthern Asia | 0.773 |
| 87 | KGZCentral Asia | 0.772 |
| 88 | UGAEastern Africa | 0.767 |
| 89 | SLEWestern Africa | 0.766 |
| 90 | COLSouth America | 0.765 |
| 91 | KENEastern Africa | 0.762 |
| 92 | MYSSouth-eastern Asia | 0.761 |
| 93 | DZANorthern Africa | 0.760 |
| 94 | BOLSouth America | 0.759 |
| =95 | BRASouth America | 0.758 |
| =95 | TGOWestern Africa | 0.758 |
| 97 | CMRMiddle Africa | 0.756 |
| 98 | NPLSouthern Asia | 0.755 |
| 99 | GABMiddle Africa | 0.754 |
| 100 | SLVCentral America | 0.753 |
| =101 | GMBWestern Africa | 0.750 |
| =101 | NERWestern Africa | 0.750 |
| =103 | XKXSouthern Europe | 0.749 |
| =103 | LSOSouthern Africa | 0.749 |
| =103 | TLSSouth-eastern Asia | 0.749 |
| 106 | MOZEastern Africa | 0.747 |
| 107 | VENSouth America | 0.743 |
| =108 | AGOMiddle Africa | 0.741 |
| =108 | MDGEastern Africa | 0.741 |
| 110 | BWASouthern Africa | 0.740 |
| 111 | CUBCaribbean | 0.736 |
| 112 | VNMSouth-eastern Asia | 0.735 |
| 113 | IDNSouth-eastern Asia | 0.730 |
| 114 | ETHEastern Africa | 0.722 |
| 115 | NGAWestern Africa | 0.717 |
| 116 | THASouth-eastern Asia | 0.704 |
| 117 | MARNorthern Africa | 0.701 |
| 118 | GNBWestern Africa | 0.700 |
| 119 | MLIWestern Africa | 0.697 |
| 120 | PRYSouth America | 0.692 |
| 121 | HNDCentral America | 0.691 |
| 122 | RUSEastern Europe | 0.690 |
| 123 | GTMCentral America | 0.679 |
| 124 | BFAWestern Africa | 0.675 |
| 125 | FJIMelanesia | 0.670 |
| 126 | BGDSouthern Asia | 0.662 |
| =127 | JORWestern Asia | 0.651 |
| =127 | NICCentral America | 0.651 |
| 129 | CIVWestern Africa | 0.646 |
| 130 | AZEWestern Asia | 0.643 |
| 131 | VUTMelanesia | 0.640 |
| 132 | UZBCentral Asia | 0.638 |
| 133 | MRTWestern Africa | 0.631 |
| 134 | INDSouthern Asia | 0.629 |
| 135 | CHNEastern Asia | 0.610 |
| 136 | MMRSouth-eastern Asia | 0.593 |
| 137 | DJIEastern Africa | 0.583 |
| 138 | CAFMiddle Africa | 0.581 |
| 139 | PAKSouthern Asia | 0.577 |
| 140 | KHMSouth-eastern Asia | 0.575 |
| 141 | MDVSouthern Asia | 0.573 |
| 142 | BDIEastern Africa | 0.571 |
| 143 | LBNWestern Asia | 0.570 |
| 144 | IRQWestern Asia | 0.569 |
| 145 | TURWestern Asia | 0.564 |
| 146 | TCDMiddle Africa | 0.553 |
| =147 | CODMiddle Africa | 0.535 |
| =147 | AREWestern Asia | 0.535 |
| 149 | SLBMelanesia | 0.530 |
| 150 | COMEastern Africa | 0.501 |
| =151 | BHRWestern Asia | 0.492 |
| =151 | GINWestern Africa | 0.492 |
| 153 | AFGSouthern Asia | 0.489 |
| 154 | LAOSouth-eastern Asia | 0.486 |
| 155 | HTICaribbean | 0.473 |
| 156 | SSDEastern Africa | 0.459 |
| 157 | PNGMelanesia | 0.455 |
| 158 | GNQMiddle Africa | 0.451 |
| 159 | TJKCentral Asia | 0.430 |
| 160 | EGYNorthern Africa | 0.425 |
| =161 | COGMiddle Africa | 0.410 |
| =161 | TKMCentral Asia | 0.410 |
| 163 | KWTWestern Asia | 0.406 |
| 164 | SomalilandXSLEastern Africa | 0.402 |
| 165 | OMNWestern Asia | 0.364 |
| 166 | LBYNorthern Africa | 0.358 |
| 167 | SOMEastern Africa | 0.352 |
| 168 | QATWestern Asia | 0.348 |
| 169 | IRNSouthern Asia | 0.341 |
| 170 | SWZSouthern Africa | 0.327 |
| 171 | SYRWestern Asia | 0.290 |
| 172 | SAUWestern Asia | 0.283 |
| 173 | PRKEastern Asia | 0.276 |
| 174 | SDNNorthern Africa | 0.269 |
| 175 | ERIEastern Africa | 0.157 |
| 176 | YEMWestern Asia | 0.138 |
02In 2019
At either end
The 5 countries at each end of the headline.
Lowest
- 176
Yemen0.138
- 175
Eritrea0.157
- 174
Sudan0.269
- 173
North Korea0.276
- 172
Saudi Arabia0.283
A higher value is the better result. The middle country reads 0.767. “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
- 168values changed, of 176 in both
- 93 · 75rose · fell
- 8unchanged
Rose most
United Arab Emirates0.437 → 0.535+0.098
Maldives0.498 → 0.573+0.075
Uzbekistan0.568 → 0.638+0.070
Albania0.840 → 0.892+0.052
Solomon Islands0.482 → 0.530+0.048
Fell most
Sudan0.415 → 0.269−0.146
Burkina Faso0.768 → 0.675−0.093
United Kingdom0.923 → 0.878−0.045
Tanzania0.826 → 0.785−0.041
Rwanda0.819 → 0.783−0.036
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.
148 distinct values among 176
Values are stored exactly as published, to 3 decimals. 3 countries share 0.914. 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 womens-political-empowerment-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). Women's Political Empowerment Index, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/womens-political-empowerment/2019
0636 held
Other years
‹ The year before
Women's Political Empowerment Index, 2018176 countries
The year after ›
Women's Political Empowerment Index, 2020176 countries
All of them
Women's Political Empowerment Index: every year36 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Women's Political Empowerment Index, 2019: questions and answers
Which country has the highest women's political empowerment in Women's Political Empowerment Index, 2019?
Germany, at 0.956, of the 176 countries in the file.
What year does Women's Political Empowerment Index, 2019 describe?
2019.
How many countries does Women's Political Empowerment Index, 2019 cover?
176.
Where can I download Women's Political Empowerment 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 Women's Political Empowerment Index, 2019 the newest?
No. The newest held here is Women's Political Empowerment Index, 2025.