placestats

Liberal democracy vs. Women's political empowerment

Holds up after adjusting for income

Across 168 countries, Liberal democracy and Women's political empowerment rise and fall together at r = +0.78 (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 = +0.72, q = 0.036, allowing for the many pairs tested).

Comparing countries across the middle half of liberal democracy, 0.127 to 0.615 points, women's political empowerment is better by 0.262 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.253 points.

Link before adjusting (r)+0.782p = 6.6e-36 · 168 countries
After adjusting for national income+0.719p = 7.1e-28 · likely range [+0.64, +0.79]
p, allowing for regions0.003standard error 0.146 · 7 regions
Check for luck (q)0.036across 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.

Liberal democracy · index (0-1)link with income +0.52 · 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

Liberal democracy · index (0-1) →Women's political empowerment · index (0-1) →0.0150.8840.0280.954Afghanistan: 0.018 index (0-1), 0.028 index (0-1)Angola: 0.163 index (0-1), 0.77 index (0-1)Albania: 0.382 index (0-1), 0.893 index (0-1)United Arab Emirates: 0.077 index (0-1), 0.614 index (0-1)Argentina: 0.524 index (0-1), 0.832 index (0-1)Armenia: 0.371 index (0-1), 0.875 index (0-1)Australia: 0.793 index (0-1), 0.906 index (0-1)Austria: 0.757 index (0-1), 0.905 index (0-1)Azerbaijan: 0.053 index (0-1), 0.649 index (0-1)Burundi: 0.06 index (0-1), 0.653 index (0-1)Belgium: 0.794 index (0-1), 0.952 index (0-1)Benin: 0.323 index (0-1), 0.882 index (0-1)Burkina Faso: 0.103 index (0-1), 0.602 index (0-1)Bangladesh: 0.116 index (0-1), 0.537 index (0-1)Bulgaria: 0.499 index (0-1), 0.907 index (0-1)Bahrain: 0.062 index (0-1), 0.568 index (0-1)Bosnia and Herzegovina: 0.339 index (0-1), 0.821 index (0-1)Belarus: 0.038 index (0-1), 0.657 index (0-1)Bolivia: 0.352 index (0-1), 0.84 index (0-1)Brazil: 0.704 index (0-1), 0.818 index (0-1)Barbados: 0.679 index (0-1), 0.895 index (0-1)Bhutan: 0.457 index (0-1), 0.675 index (0-1)Botswana: 0.52 index (0-1), 0.699 index (0-1)Central African Republic: 0.102 index (0-1), 0.556 index (0-1)Canada: 0.736 index (0-1), 0.872 index (0-1)Switzerland: 0.843 index (0-1), 0.93 index (0-1)Chile: 0.781 index (0-1), 0.913 index (0-1)China: 0.039 index (0-1), 0.587 index (0-1)Cote d'Ivoire: 0.228 index (0-1), 0.696 index (0-1)Cameroon: 0.114 index (0-1), 0.76 index (0-1)Congo, Dem. Rep.: 0.115 index (0-1), 0.55 index (0-1)Congo, Rep.: 0.115 index (0-1), 0.466 index (0-1)Colombia: 0.555 index (0-1), 0.777 index (0-1)Comoros: 0.132 index (0-1), 0.556 index (0-1)Cabo Verde: 0.631 index (0-1), 0.855 index (0-1)Costa Rica: 0.809 index (0-1), 0.907 index (0-1)Cyprus: 0.664 index (0-1), 0.856 index (0-1)Czechia: 0.794 index (0-1), 0.93 index (0-1)Germany: 0.782 index (0-1), 0.942 index (0-1)Djibouti: 0.118 index (0-1), 0.584 index (0-1)Denmark: 0.884 index (0-1), 0.954 index (0-1)Dominican Republic: 0.505 index (0-1), 0.825 index (0-1)Algeria: 0.126 index (0-1), 0.625 index (0-1)Ecuador: 0.386 index (0-1), 0.79 index (0-1)Egypt, Arab Rep.: 0.115 index (0-1), 0.547 index (0-1)Spain: 0.741 index (0-1), 0.943 index (0-1)Estonia: 0.837 index (0-1), 0.941 index (0-1)Ethiopia: 0.1 index (0-1), 0.691 index (0-1)Finland: 0.808 index (0-1), 0.932 index (0-1)Fiji: 0.398 index (0-1), 0.644 index (0-1)France: 0.8 index (0-1), 0.929 index (0-1)Gabon: 0.178 index (0-1), 0.798 index (0-1)United Kingdom: 0.689 index (0-1), 0.838 index (0-1)Georgia: 0.275 index (0-1), 0.816 index (0-1)Ghana: 0.606 index (0-1), 0.767 index (0-1)Guinea: 0.095 index (0-1), 0.532 index (0-1)Gambia, The: 0.522 index (0-1), 0.813 index (0-1)Guinea-Bissau: 0.095 index (0-1), 0.502 index (0-1)Equatorial Guinea: 0.047 index (0-1), 0.449 index (0-1)Greece: 0.568 index (0-1), 0.896 index (0-1)Guatemala: 0.523 index (0-1), 0.722 index (0-1)Guyana: 0.328 index (0-1), 0.81 index (0-1)Hong Kong SAR, China: 0.142 index (0-1), 0.801 index (0-1)Honduras: 0.38 index (0-1), 0.789 index (0-1)Croatia: 0.593 index (0-1), 0.913 index (0-1)Haiti: 0.098 index (0-1), 0.403 index (0-1)Hungary: 0.315 index (0-1), 0.818 index (0-1)Indonesia: 0.296 index (0-1), 0.726 index (0-1)India: 0.26 index (0-1), 0.658 index (0-1)Ireland: 0.822 index (0-1), 0.927 index (0-1)Iran, Islamic Rep.: 0.103 index (0-1), 0.32 index (0-1)Iraq: 0.22 index (0-1), 0.555 index (0-1)Iceland: 0.72 index (0-1), 0.883 index (0-1)Israel: 0.588 index (0-1), 0.862 index (0-1)Italy: 0.642 index (0-1), 0.929 index (0-1)Jamaica: 0.679 index (0-1), 0.929 index (0-1)Jordan: 0.274 index (0-1), 0.669 index (0-1)Japan: 0.734 index (0-1), 0.844 index (0-1)Kazakhstan: 0.131 index (0-1), 0.682 index (0-1)Kenya: 0.446 index (0-1), 0.804 index (0-1)Kyrgyz Republic: 0.178 index (0-1), 0.733 index (0-1)Cambodia: 0.051 index (0-1), 0.534 index (0-1)Korea, Rep.: 0.739 index (0-1), 0.878 index (0-1)Kuwait: 0.127 index (0-1), 0.357 index (0-1)Lao PDR: 0.11 index (0-1), 0.508 index (0-1)Lebanon: 0.267 index (0-1), 0.608 index (0-1)Liberia: 0.417 index (0-1), 0.823 index (0-1)Libya: 0.098 index (0-1), 0.412 index (0-1)Sri Lanka: 0.613 index (0-1), 0.742 index (0-1)Lesotho: 0.512 index (0-1), 0.809 index (0-1)Lithuania: 0.712 index (0-1), 0.926 index (0-1)Luxembourg: 0.777 index (0-1), 0.896 index (0-1)Latvia: 0.751 index (0-1), 0.95 index (0-1)Morocco: 0.251 index (0-1), 0.712 index (0-1)Moldova: 0.449 index (0-1), 0.898 index (0-1)Madagascar: 0.187 index (0-1), 0.704 index (0-1)Maldives: 0.416 index (0-1), 0.532 index (0-1)Mexico: 0.221 index (0-1), 0.801 index (0-1)North Macedonia: 0.374 index (0-1), 0.824 index (0-1)Mali: 0.15 index (0-1), 0.706 index (0-1)Malta: 0.621 index (0-1), 0.917 index (0-1)Myanmar: 0.015 index (0-1), 0.33 index (0-1)Montenegro: 0.5 index (0-1), 0.866 index (0-1)Mongolia: 0.424 index (0-1), 0.806 index (0-1)Mozambique: 0.175 index (0-1), 0.725 index (0-1)Mauritania: 0.127 index (0-1), 0.541 index (0-1)Mauritius: 0.639 index (0-1), 0.814 index (0-1)Malawi: 0.462 index (0-1), 0.755 index (0-1)Malaysia: 0.355 index (0-1), 0.772 index (0-1)Namibia: 0.519 index (0-1), 0.855 index (0-1)Niger: 0.177 index (0-1), 0.709 index (0-1)Nigeria: 0.311 index (0-1), 0.732 index (0-1)Nicaragua: 0.019 index (0-1), 0.531 index (0-1)Netherlands: 0.774 index (0-1), 0.903 index (0-1)Norway: 0.847 index (0-1), 0.926 index (0-1)Nepal: 0.505 index (0-1), 0.792 index (0-1)New Zealand: 0.787 index (0-1), 0.937 index (0-1)Oman: 0.14 index (0-1), 0.357 index (0-1)Pakistan: 0.176 index (0-1), 0.524 index (0-1)Panama: 0.575 index (0-1), 0.742 index (0-1)Peru: 0.506 index (0-1), 0.775 index (0-1)Philippines: 0.291 index (0-1), 0.81 index (0-1)Papua New Guinea: 0.384 index (0-1), 0.48 index (0-1)Poland: 0.645 index (0-1), 0.878 index (0-1)Portugal: 0.717 index (0-1), 0.811 index (0-1)Paraguay: 0.376 index (0-1), 0.669 index (0-1)Qatar: 0.091 index (0-1), 0.388 index (0-1)Romania: 0.464 index (0-1), 0.872 index (0-1)Russian Federation: 0.056 index (0-1), 0.546 index (0-1)Rwanda: 0.09 index (0-1), 0.626 index (0-1)Saudi Arabia: 0.047 index (0-1), 0.347 index (0-1)Sudan: 0.034 index (0-1), 0.219 index (0-1)Senegal: 0.484 index (0-1), 0.855 index (0-1)Singapore: 0.36 index (0-1), 0.785 index (0-1)Solomon Islands: 0.539 index (0-1), 0.675 index (0-1)Sierra Leone: 0.348 index (0-1), 0.801 index (0-1)El Salvador: 0.09 index (0-1), 0.587 index (0-1)Somalia, Fed. Rep.: 0.128 index (0-1), 0.337 index (0-1)Serbia: 0.208 index (0-1), 0.864 index (0-1)Sao Tome and Principe: 0.519 index (0-1), 0.843 index (0-1)Suriname: 0.626 index (0-1), 0.877 index (0-1)Slovak Republic: 0.573 index (0-1), 0.878 index (0-1)Slovenia: 0.589 index (0-1), 0.94 index (0-1)Sweden: 0.853 index (0-1), 0.923 index (0-1)Eswatini: 0.097 index (0-1), 0.391 index (0-1)Seychelles: 0.68 index (0-1), 0.908 index (0-1)Syrian Arab Republic: 0.054 index (0-1), 0.29 index (0-1)Chad: 0.062 index (0-1), 0.625 index (0-1)Togo: 0.157 index (0-1), 0.692 index (0-1)Thailand: 0.314 index (0-1), 0.688 index (0-1)Tajikistan: 0.043 index (0-1), 0.431 index (0-1)Turkmenistan: 0.034 index (0-1), 0.437 index (0-1)Timor-Leste: 0.549 index (0-1), 0.768 index (0-1)Trinidad and Tobago: 0.668 index (0-1), 0.874 index (0-1)Tunisia: 0.265 index (0-1), 0.765 index (0-1)Turkiye: 0.11 index (0-1), 0.558 index (0-1)Tanzania: 0.297 index (0-1), 0.834 index (0-1)Uganda: 0.165 index (0-1), 0.636 index (0-1)Ukraine: 0.24 index (0-1), 0.888 index (0-1)Uruguay: 0.79 index (0-1), 0.875 index (0-1)United States: 0.571 index (0-1), 0.829 index (0-1)Uzbekistan: 0.079 index (0-1), 0.643 index (0-1)Viet Nam: 0.102 index (0-1), 0.808 index (0-1)Vanuatu: 0.623 index (0-1), 0.715 index (0-1)Kosovo: 0.457 index (0-1), 0.771 index (0-1)South Africa: 0.633 index (0-1), 0.83 index (0-1)Zambia: 0.375 index (0-1), 0.791 index (0-1)Zimbabwe: 0.147 index (0-1), 0.727 index (0-1)AFGCHEDNKESTPNGSDNSRBSYRUKRVNM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.7826.6e-36168
By rank (Spearman), not adjusted+0.8538.0e-49168
Standard (Pearson), adjusted for national income+0.7197.1e-28168
By rank (Spearman), adjusted for national income+0.7976.1e-38168

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: +0.063 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.707 (without QAT) to +0.736 (without AFG). 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: AFG (+0.016).

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+0.68
Europe & Central Asia49+0.72
Latin America & Caribbean23+0.73
Middle East, North Africa, Afghanistan & Pakistan21+0.78
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+0.66
Middle third56+0.65
Richest third56+0.86

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+0.70

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+0.65
Never a European colony21+0.70
Spain19+0.75
United Kingdom49+0.82

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 = +0.743 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 = +0.511). It holds even when looking only at changes from one year to the next (r = +0.374). 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)+0.719for comparison
Within countries+0.533each country vs itself
…and vs the same year elsewhere+0.511q = 0.000 · 175 countries
Year-on-year changes+0.374q = 0.000
Read with care.
  • Almost all of this indicator's variation is between countries, not within them, so the within-country estimate rests on a small part of the data.

6,196 country-years (one country in one year), 175 countries, 1990–2025, about 35 years each on average. Share of the variation that happens within countries over time: 9% for Liberal democracy, 12% 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 Liberal democracy →lag -10: r = 0.077 (n = 4,467)lag -9: r = 0.110 (n = 4,640)lag -8: r = 0.148 (n = 4,813)lag -7: r = 0.184 (n = 4,986)lag -6: r = 0.219 (n = 5,159)lag -5: r = 0.260 (n = 5,332)lag -4: r = 0.313 (n = 5,505)lag -3: r = 0.371 (n = 5,678)lag -2: r = 0.428 (n = 5,851)lag -1: r = 0.483 (n = 6,024)lag +0: r = 0.511 (n = 6,196)lag +1: r = 0.463 (n = 6,023)lag +2: r = 0.394 (n = 5,852)lag +3: r = 0.325 (n = 5,682)lag +4: r = 0.263 (n = 5,513)lag +5: r = 0.214 (n = 5,343)lag +6: r = 0.174 (n = 5,173)lag +7: r = 0.134 (n = 5,003)lag +8: r = 0.091 (n = 4,833)lag +9: r = 0.061 (n = 4,662)lag +10: r = 0.041 (n = 4,491)

Same year (lag 0): +0.511. 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 DNK0.8840.9542025
Sweden SWE0.8530.9232025
Norway NOR0.8470.9262025
Switzerland CHE0.8430.932025
Estonia EST0.8370.9412025
Ireland IRL0.8220.9272025
Costa Rica CRI0.8090.9072025
Finland FIN0.8080.9322025
France FRA0.80.9292025
Czechia CZE0.7940.932025
Belgium BEL0.7940.9522025
Australia AUS0.7930.9062025
Uruguay URY0.790.8752025
New Zealand NZL0.7870.9372025
Germany DEU0.7820.9422025

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

Liberal democracy

Liberal democracy index

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

Electoral democracy plus limits on the head of government, independent courts and protected personal freedoms. It contains the electoral democracy index as a part, so the two are built from the same numbers and bound to match.

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 Liberal democracy and Women's political empowerment

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

More links with Liberal democracy or Women's political empowerment