placestats

Political civil liberties vs. Women's political empowerment

Holds up after adjusting for income

Across 168 countries, Political civil liberties and Women's political empowerment rise and fall together at r = +0.76 (on a scale from −1 to +1, where 0 means no link). It holds up almost unchanged when only countries with similar income (GDP per person) are compared (r = +0.74, q = 0.030, allowing for the many pairs tested).

Comparing countries across the middle half of political civil liberties, 0.45 to 0.891 points, women's political empowerment is better by 0.206 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.187 points.

Link before adjusting (r)+0.759p = 1.1e-32 · 168 countries
After adjusting for national income+0.740p = 3.1e-30 · likely range [+0.66, +0.80]
p, allowing for regions0.002standard error 0.140 · 7 regions
Check for luck (q)0.030across 12,497 pairs

How to read these.r runs from −1 (one goes up as the other goes down) to +1 (they rise together), and 0 means no link. Adjusting for national income means comparing countries with the same GDP per person, so differences in wealth can’t explain the link. Income is used in percentage terms, since an extra $1,000 means more to a poor country than to a rich one. p is how likely a link this strong would be if there were really none. Below 0.05 means it is unlikely to be chance. Very small values are written in short form: 1.1e-32 means a decimal point followed by 31 zeros and then 11, so very close to zero. The likely range is where the true figure probably lies, and a range that crosses zero means the link could easily be chance. Countries in the same region tend to resemble each other, so the third figure allows for that, which gives a fairer p. The standard error is the typical size of the error in r. Finally, testing this many pairs means some will look strong by luck alone. A q below 0.05 means this link is unlikely to be one of those.

Political civil liberties · index (0-1)link with income +0.40 · moderate
Women's political empowerment · index (0-1)link with income +0.54 · moderate

“Link with income” is how closely each measure tracks GDP per person across countries, from −1 to +1.

Every country as a dot

Political civil liberties · index (0-1) →Women's political empowerment · index (0-1) →0.0170.9750.0280.954Afghanistan: 0.021 index (0-1), 0.028 index (0-1)Angola: 0.578 index (0-1), 0.77 index (0-1)Albania: 0.761 index (0-1), 0.893 index (0-1)United Arab Emirates: 0.122 index (0-1), 0.614 index (0-1)Argentina: 0.774 index (0-1), 0.832 index (0-1)Armenia: 0.818 index (0-1), 0.875 index (0-1)Australia: 0.906 index (0-1), 0.906 index (0-1)Austria: 0.926 index (0-1), 0.905 index (0-1)Azerbaijan: 0.121 index (0-1), 0.649 index (0-1)Burundi: 0.157 index (0-1), 0.653 index (0-1)Belgium: 0.963 index (0-1), 0.952 index (0-1)Benin: 0.741 index (0-1), 0.882 index (0-1)Burkina Faso: 0.346 index (0-1), 0.602 index (0-1)Bangladesh: 0.636 index (0-1), 0.537 index (0-1)Bulgaria: 0.825 index (0-1), 0.907 index (0-1)Bahrain: 0.15 index (0-1), 0.568 index (0-1)Bosnia and Herzegovina: 0.735 index (0-1), 0.821 index (0-1)Belarus: 0.036 index (0-1), 0.657 index (0-1)Bolivia: 0.735 index (0-1), 0.84 index (0-1)Brazil: 0.932 index (0-1), 0.818 index (0-1)Barbados: 0.922 index (0-1), 0.895 index (0-1)Bhutan: 0.658 index (0-1), 0.675 index (0-1)Botswana: 0.843 index (0-1), 0.699 index (0-1)Central African Republic: 0.525 index (0-1), 0.556 index (0-1)Canada: 0.922 index (0-1), 0.872 index (0-1)Switzerland: 0.969 index (0-1), 0.93 index (0-1)Chile: 0.943 index (0-1), 0.913 index (0-1)China: 0.036 index (0-1), 0.587 index (0-1)Cote d'Ivoire: 0.701 index (0-1), 0.696 index (0-1)Cameroon: 0.417 index (0-1), 0.76 index (0-1)Congo, Dem. Rep.: 0.555 index (0-1), 0.55 index (0-1)Congo, Rep.: 0.296 index (0-1), 0.466 index (0-1)Colombia: 0.842 index (0-1), 0.777 index (0-1)Comoros: 0.514 index (0-1), 0.556 index (0-1)Cabo Verde: 0.893 index (0-1), 0.855 index (0-1)Costa Rica: 0.931 index (0-1), 0.907 index (0-1)Cyprus: 0.879 index (0-1), 0.856 index (0-1)Czechia: 0.934 index (0-1), 0.93 index (0-1)Germany: 0.892 index (0-1), 0.942 index (0-1)Djibouti: 0.41 index (0-1), 0.584 index (0-1)Denmark: 0.975 index (0-1), 0.954 index (0-1)Dominican Republic: 0.922 index (0-1), 0.825 index (0-1)Algeria: 0.339 index (0-1), 0.625 index (0-1)Ecuador: 0.694 index (0-1), 0.79 index (0-1)Egypt, Arab Rep.: 0.145 index (0-1), 0.547 index (0-1)Spain: 0.925 index (0-1), 0.943 index (0-1)Estonia: 0.966 index (0-1), 0.941 index (0-1)Ethiopia: 0.336 index (0-1), 0.691 index (0-1)Finland: 0.936 index (0-1), 0.932 index (0-1)Fiji: 0.759 index (0-1), 0.644 index (0-1)France: 0.953 index (0-1), 0.929 index (0-1)Gabon: 0.747 index (0-1), 0.798 index (0-1)United Kingdom: 0.858 index (0-1), 0.838 index (0-1)Georgia: 0.605 index (0-1), 0.816 index (0-1)Ghana: 0.922 index (0-1), 0.767 index (0-1)Guinea: 0.453 index (0-1), 0.532 index (0-1)Gambia, The: 0.837 index (0-1), 0.813 index (0-1)Guinea-Bissau: 0.549 index (0-1), 0.502 index (0-1)Equatorial Guinea: 0.117 index (0-1), 0.449 index (0-1)Greece: 0.845 index (0-1), 0.896 index (0-1)Guatemala: 0.856 index (0-1), 0.722 index (0-1)Guyana: 0.855 index (0-1), 0.81 index (0-1)Hong Kong SAR, China: 0.231 index (0-1), 0.801 index (0-1)Honduras: 0.876 index (0-1), 0.789 index (0-1)Croatia: 0.793 index (0-1), 0.913 index (0-1)Haiti: 0.786 index (0-1), 0.403 index (0-1)Hungary: 0.607 index (0-1), 0.818 index (0-1)Indonesia: 0.596 index (0-1), 0.726 index (0-1)India: 0.465 index (0-1), 0.658 index (0-1)Ireland: 0.967 index (0-1), 0.927 index (0-1)Iran, Islamic Rep.: 0.158 index (0-1), 0.32 index (0-1)Iraq: 0.543 index (0-1), 0.555 index (0-1)Iceland: 0.93 index (0-1), 0.883 index (0-1)Israel: 0.769 index (0-1), 0.862 index (0-1)Italy: 0.873 index (0-1), 0.929 index (0-1)Jamaica: 0.936 index (0-1), 0.929 index (0-1)Jordan: 0.549 index (0-1), 0.669 index (0-1)Japan: 0.92 index (0-1), 0.844 index (0-1)Kazakhstan: 0.362 index (0-1), 0.682 index (0-1)Kenya: 0.86 index (0-1), 0.804 index (0-1)Kyrgyz Republic: 0.427 index (0-1), 0.733 index (0-1)Cambodia: 0.208 index (0-1), 0.534 index (0-1)Korea, Rep.: 0.911 index (0-1), 0.878 index (0-1)Kuwait: 0.364 index (0-1), 0.357 index (0-1)Lao PDR: 0.053 index (0-1), 0.508 index (0-1)Lebanon: 0.729 index (0-1), 0.608 index (0-1)Liberia: 0.845 index (0-1), 0.823 index (0-1)Libya: 0.515 index (0-1), 0.412 index (0-1)Sri Lanka: 0.895 index (0-1), 0.742 index (0-1)Lesotho: 0.857 index (0-1), 0.809 index (0-1)Lithuania: 0.893 index (0-1), 0.926 index (0-1)Luxembourg: 0.956 index (0-1), 0.896 index (0-1)Latvia: 0.943 index (0-1), 0.95 index (0-1)Morocco: 0.549 index (0-1), 0.712 index (0-1)Moldova: 0.761 index (0-1), 0.898 index (0-1)Madagascar: 0.743 index (0-1), 0.704 index (0-1)Maldives: 0.724 index (0-1), 0.532 index (0-1)Mexico: 0.642 index (0-1), 0.801 index (0-1)North Macedonia: 0.753 index (0-1), 0.824 index (0-1)Mali: 0.439 index (0-1), 0.706 index (0-1)Malta: 0.891 index (0-1), 0.917 index (0-1)Myanmar: 0.058 index (0-1), 0.33 index (0-1)Montenegro: 0.891 index (0-1), 0.866 index (0-1)Mongolia: 0.758 index (0-1), 0.806 index (0-1)Mozambique: 0.504 index (0-1), 0.725 index (0-1)Mauritania: 0.526 index (0-1), 0.541 index (0-1)Mauritius: 0.922 index (0-1), 0.814 index (0-1)Malawi: 0.755 index (0-1), 0.755 index (0-1)Malaysia: 0.691 index (0-1), 0.772 index (0-1)Namibia: 0.896 index (0-1), 0.855 index (0-1)Niger: 0.747 index (0-1), 0.709 index (0-1)Nigeria: 0.863 index (0-1), 0.732 index (0-1)Nicaragua: 0.017 index (0-1), 0.531 index (0-1)Netherlands: 0.892 index (0-1), 0.903 index (0-1)Norway: 0.955 index (0-1), 0.926 index (0-1)Nepal: 0.863 index (0-1), 0.792 index (0-1)New Zealand: 0.929 index (0-1), 0.937 index (0-1)Oman: 0.167 index (0-1), 0.357 index (0-1)Pakistan: 0.502 index (0-1), 0.524 index (0-1)Panama: 0.885 index (0-1), 0.742 index (0-1)Peru: 0.759 index (0-1), 0.775 index (0-1)Philippines: 0.641 index (0-1), 0.81 index (0-1)Papua New Guinea: 0.889 index (0-1), 0.48 index (0-1)Poland: 0.93 index (0-1), 0.878 index (0-1)Portugal: 0.914 index (0-1), 0.811 index (0-1)Paraguay: 0.799 index (0-1), 0.669 index (0-1)Qatar: 0.079 index (0-1), 0.388 index (0-1)Romania: 0.838 index (0-1), 0.872 index (0-1)Russian Federation: 0.1 index (0-1), 0.546 index (0-1)Rwanda: 0.174 index (0-1), 0.626 index (0-1)Saudi Arabia: 0.083 index (0-1), 0.347 index (0-1)Sudan: 0.271 index (0-1), 0.219 index (0-1)Senegal: 0.837 index (0-1), 0.855 index (0-1)Singapore: 0.528 index (0-1), 0.785 index (0-1)Solomon Islands: 0.892 index (0-1), 0.675 index (0-1)Sierra Leone: 0.868 index (0-1), 0.801 index (0-1)El Salvador: 0.429 index (0-1), 0.587 index (0-1)Somalia, Fed. Rep.: 0.532 index (0-1), 0.337 index (0-1)Serbia: 0.549 index (0-1), 0.864 index (0-1)Sao Tome and Principe: 0.843 index (0-1), 0.843 index (0-1)Suriname: 0.916 index (0-1), 0.877 index (0-1)Slovak Republic: 0.807 index (0-1), 0.878 index (0-1)Slovenia: 0.797 index (0-1), 0.94 index (0-1)Sweden: 0.96 index (0-1), 0.923 index (0-1)Eswatini: 0.062 index (0-1), 0.391 index (0-1)Seychelles: 0.893 index (0-1), 0.908 index (0-1)Syrian Arab Republic: 0.283 index (0-1), 0.29 index (0-1)Chad: 0.302 index (0-1), 0.625 index (0-1)Togo: 0.483 index (0-1), 0.692 index (0-1)Thailand: 0.548 index (0-1), 0.688 index (0-1)Tajikistan: 0.07 index (0-1), 0.431 index (0-1)Turkmenistan: 0.054 index (0-1), 0.437 index (0-1)Timor-Leste: 0.866 index (0-1), 0.768 index (0-1)Trinidad and Tobago: 0.92 index (0-1), 0.874 index (0-1)Tunisia: 0.561 index (0-1), 0.765 index (0-1)Turkiye: 0.263 index (0-1), 0.558 index (0-1)Tanzania: 0.614 index (0-1), 0.834 index (0-1)Uganda: 0.368 index (0-1), 0.636 index (0-1)Ukraine: 0.511 index (0-1), 0.888 index (0-1)Uruguay: 0.947 index (0-1), 0.875 index (0-1)United States: 0.865 index (0-1), 0.829 index (0-1)Uzbekistan: 0.249 index (0-1), 0.643 index (0-1)Viet Nam: 0.094 index (0-1), 0.808 index (0-1)Vanuatu: 0.905 index (0-1), 0.715 index (0-1)Kosovo: 0.828 index (0-1), 0.771 index (0-1)South Africa: 0.884 index (0-1), 0.83 index (0-1)Zambia: 0.797 index (0-1), 0.791 index (0-1)Zimbabwe: 0.349 index (0-1), 0.727 index (0-1)AFGBELBLRDNKESTHKGHTIMMRPNGSDNSOMVNM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.7591.1e-32168
By rank (Spearman), not adjusted+0.7973.4e-38168
Standard (Pearson), adjusted for national income+0.7403.1e-30168
By rank (Spearman), adjusted for national income+0.7547.2e-32168

The rank version uses only each country’s place in line, from lowest to highest, so a few extreme countries count for less. The adjusted and unadjusted versions use the same 168 countries: those that report both measures and GDP per person. So the gap between them comes from the adjustment, not from a change in which countries are counted. Drop in the size of r after adjusting: +0.018 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.728 (without QAT) to +0.755 (without VNM). The bar above shows that range on a scale from −1 to +1, with the solid line at the full result. The single country that moves r most: VNM (+0.015).

Within each region

Countries are not separate, unrelated cases, and neighbors share a lot. A link that holds inside each region is far more believable than one that shows up only when comparing regions.

nr
East Asia & Pacific21+0.65
Europe & Central Asia49+0.86
Latin America & Caribbean23+0.55
Middle East, North Africa, Afghanistan & Pakistan21+0.81
Sub-Saharan Africa46+0.69

By income third

If the link shows up only in the richest third of countries, it is a feature of rich countries, not a general pattern.

nr
Poorest third56+0.64
Middle third56+0.70
Richest third56+0.89

By largest religious group

Countries grouped by a label they share, such as main religion, rather than by a number. Groups of fewer than twelve countries are not shown. These groups differ in income, region and history all at once. So a gap between them is a place to start asking questions, not an answer.

nr
Christians99+0.61
Muslims48+0.71

By last european coloniser

Countries grouped by a label they share, such as main religion, rather than by a number. Groups of fewer than twelve countries are not shown. These groups differ in income, region and history all at once. So a gap between them is a place to start asking questions, not an answer.

nr
France25+0.43
Never a European colony21+0.83
Spain19+0.80
United Kingdom49+0.78

Without outliers (countries far outside the middle half of countries on either measure, by more than one and a half times the width of that middle half): r = +0.740 after dropping 2 countries.

Two series, one country

Both measures over the years for one country you pick. The two charts are stacked so they share only the years along the bottom.

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Over time, within countries

Everything above compares countries with each other at one moment. This section compares each country only with itself over 36years. So a link here can’t come from anything about a country that stays the same, such as its history, geography, institutions or culture.

The link also shows up within countries over time (r = +0.583). It holds even when looking only at changes from one year to the next (r = +0.460). This is the strongest kind of evidence available here: it holds when each country is compared only with itself, and it is not just a product of shared trends.

Across countries (adjusted)+0.740for comparison
Within countries+0.549each country vs itself
…and vs the same year elsewhere+0.583q = 0.000 · 175 countries
Year-on-year changes+0.460q = 0.000

6,218 country-years (one country in one year), 175 countries, 1990–2025, about 36 years each on average. Share of the variation that happens within countries over time: 15% for Political civil liberties, 13% for Women's political empowerment. The margins of error allow for each country appearing many times, and for each year’s value being close to the year before.

Year-to-year changes are a cautious test, not a final answer. Looking only at changes from one year to the next removes each country’s own trends. But it also makes measurement mistakes louder, which pulls the results toward zero. A near-zero result here is weak evidence of no link, not proof.

With one measure years behind the other

0.60−0.6-100+10years Women's political empowerment trails Political civil liberties →lag -10: r = -0.000 (n = 4,469)lag -9: r = 0.031 (n = 4,643)lag -8: r = 0.076 (n = 4,818)lag -7: r = 0.125 (n = 4,993)lag -6: r = 0.180 (n = 5,168)lag -5: r = 0.237 (n = 5,343)lag -4: r = 0.305 (n = 5,518)lag -3: r = 0.378 (n = 5,693)lag -2: r = 0.453 (n = 5,868)lag -1: r = 0.527 (n = 6,043)lag +0: r = 0.583 (n = 6,218)lag +1: r = 0.558 (n = 6,045)lag +2: r = 0.503 (n = 5,874)lag +3: r = 0.445 (n = 5,704)lag +4: r = 0.386 (n = 5,534)lag +5: r = 0.326 (n = 5,364)lag +6: r = 0.275 (n = 5,194)lag +7: r = 0.223 (n = 5,024)lag +8: r = 0.168 (n = 4,854)lag +9: r = 0.120 (n = 4,683)lag +10: r = 0.082 (n = 4,512)

Same year (lag 0): +0.583. A peak away from zero does not show which comes first. These series change slowly — this year’s value is close to last year’s. That makes the curve smooth and nearly symmetric, whatever produced the data. Even a sharp peak at one lag (a gap of some years) would not prove that one measure changes the other.

The data


index (0-1)

index (0-1)
Years
Denmark DNK0.9750.9542025
Switzerland CHE0.9690.932025
Ireland IRL0.9670.9272025
Estonia EST0.9660.9412025
Belgium BEL0.9630.9522025
Sweden SWE0.960.9232025
Luxembourg LUX0.9560.8962025
Norway NOR0.9550.9262025
France FRA0.9530.9292025
Uruguay URY0.9470.8752025
Latvia LVA0.9430.952025
Chile CHL0.9430.9132025
Jamaica JAM0.9360.9292025
Finland FIN0.9360.9322025
Czechia CZE0.9340.932025

Coppedge, M. et al., V-Dem Dataset, Varieties of Democracy (V-Dem) Project
Coppedge, M. et al., V-Dem Dataset, Varieties of Democracy (V-Dem) Project

Sources

Political civil liberties

Political civil liberties index

V-Dem Institute, University of Gothenburg · via Our World in Data · CC BY 4.0 · updated annual

Combines freedom of expression and freedom of association. So it shares both parts with the electoral democracy index.

Women's political empowerment

Women's political empowerment index

V-Dem Institute, University of Gothenburg · via Our World in Data · CC BY 4.0 · updated annual

Women's civil liberties, their part in civic groups, and their political representation. It is built from its own set of questions, not from the parts of the democracy indices, so it is not tagged as measuring the same thing. Still, read its links with them carefully. Whether women take part in politics is partly built into whether real political participation exists at all. So a strong link with general democracy measures is closer to definitional (true by how the terms are defined) than to a finding about the world.

How this was computed

Data used: most recent value in 2010-2025; values come from 2025. To adjust for income, each measure is first predicted from GDP per person (in percentage terms, on a log scale) with a straight-line fit. Only what is left over is then compared. This is called a partial correlation. The line is drawn the standard way (ordinary least squares), which picks the line that comes closest to all the countries at once. The error margins allow for countries in the same region resembling each other, using 7 World Bank regions. The q-value corrects for testing all 12,497 pairs at once, using the Benjamini–Hochberg method. Underlying data last updated DYB 2024. How the country data works · explore Political civil liberties and Women's political empowerment

This page shows that two measures go together. It does not show that Political civil liberties changes Women's political empowerment, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Political civil liberties or Women's political empowerment