placestats

Freedom of association vs. Women's political empowerment

Holds up after adjusting for income

Across 168 countries, Freedom of association and Women's political empowerment rise and fall together at r = +0.77 (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 = +0.75, q = 0.025, allowing for the many pairs tested).

Comparing countries across the middle half of freedom of association, 0.442 to 0.868 points, women's political empowerment is better by 0.203 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.185 points.

Link before adjusting (r)+0.768p = 6.3e-34 · 168 countries
After adjusting for national income+0.750p = 2.2e-31 · likely range [+0.67, +0.81]
p, allowing for regions0.001standard error 0.134 · 7 regions
Check for luck (q)0.025across 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.

Freedom of association · index (0-1)link with income +0.42 · 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

Freedom of association · index (0-1) →Women's political empowerment · index (0-1) →0.0230.9310.0280.954Afghanistan: 0.023 index (0-1), 0.028 index (0-1)Angola: 0.61 index (0-1), 0.77 index (0-1)Albania: 0.785 index (0-1), 0.893 index (0-1)United Arab Emirates: 0.04 index (0-1), 0.614 index (0-1)Argentina: 0.839 index (0-1), 0.832 index (0-1)Armenia: 0.869 index (0-1), 0.875 index (0-1)Australia: 0.876 index (0-1), 0.906 index (0-1)Austria: 0.883 index (0-1), 0.905 index (0-1)Azerbaijan: 0.141 index (0-1), 0.649 index (0-1)Burundi: 0.226 index (0-1), 0.653 index (0-1)Belgium: 0.896 index (0-1), 0.952 index (0-1)Benin: 0.619 index (0-1), 0.882 index (0-1)Burkina Faso: 0.309 index (0-1), 0.602 index (0-1)Bangladesh: 0.535 index (0-1), 0.537 index (0-1)Bulgaria: 0.833 index (0-1), 0.907 index (0-1)Bahrain: 0.139 index (0-1), 0.568 index (0-1)Bosnia and Herzegovina: 0.793 index (0-1), 0.821 index (0-1)Belarus: 0.07 index (0-1), 0.657 index (0-1)Bolivia: 0.805 index (0-1), 0.84 index (0-1)Brazil: 0.882 index (0-1), 0.818 index (0-1)Barbados: 0.879 index (0-1), 0.895 index (0-1)Bhutan: 0.609 index (0-1), 0.675 index (0-1)Botswana: 0.85 index (0-1), 0.699 index (0-1)Central African Republic: 0.458 index (0-1), 0.556 index (0-1)Canada: 0.865 index (0-1), 0.872 index (0-1)Switzerland: 0.917 index (0-1), 0.93 index (0-1)Chile: 0.86 index (0-1), 0.913 index (0-1)China: 0.03 index (0-1), 0.587 index (0-1)Cote d'Ivoire: 0.615 index (0-1), 0.696 index (0-1)Cameroon: 0.336 index (0-1), 0.76 index (0-1)Congo, Dem. Rep.: 0.48 index (0-1), 0.55 index (0-1)Congo, Rep.: 0.433 index (0-1), 0.466 index (0-1)Colombia: 0.89 index (0-1), 0.777 index (0-1)Comoros: 0.509 index (0-1), 0.556 index (0-1)Cabo Verde: 0.874 index (0-1), 0.855 index (0-1)Costa Rica: 0.922 index (0-1), 0.907 index (0-1)Cyprus: 0.894 index (0-1), 0.856 index (0-1)Czechia: 0.872 index (0-1), 0.93 index (0-1)Germany: 0.852 index (0-1), 0.942 index (0-1)Djibouti: 0.392 index (0-1), 0.584 index (0-1)Denmark: 0.929 index (0-1), 0.954 index (0-1)Dominican Republic: 0.876 index (0-1), 0.825 index (0-1)Algeria: 0.303 index (0-1), 0.625 index (0-1)Ecuador: 0.719 index (0-1), 0.79 index (0-1)Egypt, Arab Rep.: 0.159 index (0-1), 0.547 index (0-1)Spain: 0.915 index (0-1), 0.943 index (0-1)Estonia: 0.908 index (0-1), 0.941 index (0-1)Ethiopia: 0.342 index (0-1), 0.691 index (0-1)Finland: 0.864 index (0-1), 0.932 index (0-1)Fiji: 0.721 index (0-1), 0.644 index (0-1)France: 0.889 index (0-1), 0.929 index (0-1)Gabon: 0.609 index (0-1), 0.798 index (0-1)United Kingdom: 0.859 index (0-1), 0.838 index (0-1)Georgia: 0.646 index (0-1), 0.816 index (0-1)Ghana: 0.888 index (0-1), 0.767 index (0-1)Guinea: 0.424 index (0-1), 0.532 index (0-1)Gambia, The: 0.775 index (0-1), 0.813 index (0-1)Guinea-Bissau: 0.509 index (0-1), 0.502 index (0-1)Equatorial Guinea: 0.167 index (0-1), 0.449 index (0-1)Greece: 0.801 index (0-1), 0.896 index (0-1)Guatemala: 0.834 index (0-1), 0.722 index (0-1)Guyana: 0.821 index (0-1), 0.81 index (0-1)Hong Kong SAR, China: 0.178 index (0-1), 0.801 index (0-1)Honduras: 0.871 index (0-1), 0.789 index (0-1)Croatia: 0.821 index (0-1), 0.913 index (0-1)Haiti: 0.612 index (0-1), 0.403 index (0-1)Hungary: 0.605 index (0-1), 0.818 index (0-1)Indonesia: 0.638 index (0-1), 0.726 index (0-1)India: 0.586 index (0-1), 0.658 index (0-1)Ireland: 0.912 index (0-1), 0.927 index (0-1)Iran, Islamic Rep.: 0.093 index (0-1), 0.32 index (0-1)Iraq: 0.578 index (0-1), 0.555 index (0-1)Iceland: 0.917 index (0-1), 0.883 index (0-1)Israel: 0.758 index (0-1), 0.862 index (0-1)Italy: 0.875 index (0-1), 0.929 index (0-1)Jamaica: 0.879 index (0-1), 0.929 index (0-1)Jordan: 0.616 index (0-1), 0.669 index (0-1)Japan: 0.924 index (0-1), 0.844 index (0-1)Kazakhstan: 0.287 index (0-1), 0.682 index (0-1)Kenya: 0.793 index (0-1), 0.804 index (0-1)Kyrgyz Republic: 0.338 index (0-1), 0.733 index (0-1)Cambodia: 0.195 index (0-1), 0.534 index (0-1)Korea, Rep.: 0.839 index (0-1), 0.878 index (0-1)Kuwait: 0.07 index (0-1), 0.357 index (0-1)Lao PDR: 0.047 index (0-1), 0.508 index (0-1)Lebanon: 0.715 index (0-1), 0.608 index (0-1)Liberia: 0.809 index (0-1), 0.823 index (0-1)Libya: 0.508 index (0-1), 0.412 index (0-1)Sri Lanka: 0.853 index (0-1), 0.742 index (0-1)Lesotho: 0.873 index (0-1), 0.809 index (0-1)Lithuania: 0.841 index (0-1), 0.926 index (0-1)Luxembourg: 0.895 index (0-1), 0.896 index (0-1)Latvia: 0.888 index (0-1), 0.95 index (0-1)Morocco: 0.548 index (0-1), 0.712 index (0-1)Moldova: 0.81 index (0-1), 0.898 index (0-1)Madagascar: 0.812 index (0-1), 0.704 index (0-1)Maldives: 0.777 index (0-1), 0.532 index (0-1)Mexico: 0.702 index (0-1), 0.801 index (0-1)North Macedonia: 0.768 index (0-1), 0.824 index (0-1)Mali: 0.315 index (0-1), 0.706 index (0-1)Malta: 0.902 index (0-1), 0.917 index (0-1)Myanmar: 0.105 index (0-1), 0.33 index (0-1)Montenegro: 0.868 index (0-1), 0.866 index (0-1)Mongolia: 0.718 index (0-1), 0.806 index (0-1)Mozambique: 0.519 index (0-1), 0.725 index (0-1)Mauritania: 0.416 index (0-1), 0.541 index (0-1)Mauritius: 0.885 index (0-1), 0.814 index (0-1)Malawi: 0.767 index (0-1), 0.755 index (0-1)Malaysia: 0.791 index (0-1), 0.772 index (0-1)Namibia: 0.87 index (0-1), 0.855 index (0-1)Niger: 0.57 index (0-1), 0.709 index (0-1)Nigeria: 0.846 index (0-1), 0.732 index (0-1)Nicaragua: 0.042 index (0-1), 0.531 index (0-1)Netherlands: 0.868 index (0-1), 0.903 index (0-1)Norway: 0.915 index (0-1), 0.926 index (0-1)Nepal: 0.868 index (0-1), 0.792 index (0-1)New Zealand: 0.885 index (0-1), 0.937 index (0-1)Oman: 0.049 index (0-1), 0.357 index (0-1)Pakistan: 0.495 index (0-1), 0.524 index (0-1)Panama: 0.881 index (0-1), 0.742 index (0-1)Peru: 0.777 index (0-1), 0.775 index (0-1)Philippines: 0.698 index (0-1), 0.81 index (0-1)Papua New Guinea: 0.879 index (0-1), 0.48 index (0-1)Poland: 0.862 index (0-1), 0.878 index (0-1)Portugal: 0.874 index (0-1), 0.811 index (0-1)Paraguay: 0.8 index (0-1), 0.669 index (0-1)Qatar: 0.039 index (0-1), 0.388 index (0-1)Romania: 0.806 index (0-1), 0.872 index (0-1)Russian Federation: 0.115 index (0-1), 0.546 index (0-1)Rwanda: 0.144 index (0-1), 0.626 index (0-1)Saudi Arabia: 0.026 index (0-1), 0.347 index (0-1)Sudan: 0.242 index (0-1), 0.219 index (0-1)Senegal: 0.798 index (0-1), 0.855 index (0-1)Singapore: 0.591 index (0-1), 0.785 index (0-1)Solomon Islands: 0.874 index (0-1), 0.675 index (0-1)Sierra Leone: 0.837 index (0-1), 0.801 index (0-1)El Salvador: 0.646 index (0-1), 0.587 index (0-1)Somalia, Fed. Rep.: 0.445 index (0-1), 0.337 index (0-1)Serbia: 0.577 index (0-1), 0.864 index (0-1)Sao Tome and Principe: 0.768 index (0-1), 0.843 index (0-1)Suriname: 0.881 index (0-1), 0.877 index (0-1)Slovak Republic: 0.839 index (0-1), 0.878 index (0-1)Slovenia: 0.861 index (0-1), 0.94 index (0-1)Sweden: 0.931 index (0-1), 0.923 index (0-1)Eswatini: 0.023 index (0-1), 0.391 index (0-1)Seychelles: 0.833 index (0-1), 0.908 index (0-1)Syrian Arab Republic: 0.159 index (0-1), 0.29 index (0-1)Chad: 0.399 index (0-1), 0.625 index (0-1)Togo: 0.533 index (0-1), 0.692 index (0-1)Thailand: 0.662 index (0-1), 0.688 index (0-1)Tajikistan: 0.106 index (0-1), 0.431 index (0-1)Turkmenistan: 0.058 index (0-1), 0.437 index (0-1)Timor-Leste: 0.844 index (0-1), 0.768 index (0-1)Trinidad and Tobago: 0.883 index (0-1), 0.874 index (0-1)Tunisia: 0.479 index (0-1), 0.765 index (0-1)Turkiye: 0.565 index (0-1), 0.558 index (0-1)Tanzania: 0.616 index (0-1), 0.834 index (0-1)Uganda: 0.379 index (0-1), 0.636 index (0-1)Ukraine: 0.542 index (0-1), 0.888 index (0-1)Uruguay: 0.902 index (0-1), 0.875 index (0-1)United States: 0.913 index (0-1), 0.829 index (0-1)Uzbekistan: 0.149 index (0-1), 0.643 index (0-1)Viet Nam: 0.024 index (0-1), 0.808 index (0-1)Vanuatu: 0.829 index (0-1), 0.715 index (0-1)Kosovo: 0.838 index (0-1), 0.771 index (0-1)South Africa: 0.87 index (0-1), 0.83 index (0-1)Zambia: 0.746 index (0-1), 0.791 index (0-1)Zimbabwe: 0.424 index (0-1), 0.727 index (0-1)AFGBELBLRDNKESPHKGHTIPNGSAUSDNVNM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.7686.3e-34168
By rank (Spearman), not adjusted+0.7843.6e-36168
Standard (Pearson), adjusted for national income+0.7502.2e-31168
By rank (Spearman), adjusted for national income+0.7304.9e-29168

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 +0.737 (without QAT) to +0.768 (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 (+0.018).

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+0.60
Europe & Central Asia49+0.82
Latin America & Caribbean23+0.59
Middle East, North Africa, Afghanistan & Pakistan21+0.85
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+0.68
Richest third56+0.90

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+0.72

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+0.42
Never a European colony21+0.81
Spain19+0.77
United Kingdom49+0.80

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 = +0.751 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 = +0.536). It holds even when looking only at changes from one year to the next (r = +0.332). 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)+0.750for comparison
Within countries+0.553each country vs itself
…and vs the same year elsewhere+0.536q = 0.000 · 175 countries
Year-on-year changes+0.332q = 0.000
Read with care.
  • The association is much weaker in year-on-year changes than in levels, which points to shared country-specific trends.

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 Freedom of association, 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 Freedom of association →lag -10: r = 0.024 (n = 4,469)lag -9: r = 0.053 (n = 4,643)lag -8: r = 0.092 (n = 4,818)lag -7: r = 0.137 (n = 4,993)lag -6: r = 0.185 (n = 5,168)lag -5: r = 0.238 (n = 5,343)lag -4: r = 0.302 (n = 5,518)lag -3: r = 0.370 (n = 5,693)lag -2: r = 0.440 (n = 5,868)lag -1: r = 0.501 (n = 6,043)lag +0: r = 0.536 (n = 6,218)lag +1: r = 0.508 (n = 6,045)lag +2: r = 0.455 (n = 5,874)lag +3: r = 0.404 (n = 5,704)lag +4: r = 0.359 (n = 5,534)lag +5: r = 0.310 (n = 5,364)lag +6: r = 0.269 (n = 5,194)lag +7: r = 0.226 (n = 5,024)lag +8: r = 0.177 (n = 4,854)lag +9: r = 0.134 (n = 4,683)lag +10: r = 0.098 (n = 4,512)

Same year (lag 0): +0.536. 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
Sweden SWE0.9310.9232025
Denmark DNK0.9290.9542025
Japan JPN0.9240.8442025
Costa Rica CRI0.9220.9072025
Iceland ISL0.9170.8832025
Switzerland CHE0.9170.932025
Norway NOR0.9150.9262025
Spain ESP0.9150.9432025
United States USA0.9130.8292025
Ireland IRL0.9120.9272025
Estonia EST0.9080.9412025
Uruguay URY0.9020.8752025
Malta MLT0.9020.9172025
Belgium BEL0.8960.9522025
Luxembourg LUX0.8950.8962025

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

Freedom of association

Freedom of association index

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

Whether parties and civic groups may form and operate freely. A part of 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 Freedom of association and Women's political empowerment

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

More links with Freedom of association or Women's political empowerment