placestats

Civil society participation vs. Women's political empowerment

Holds up after adjusting for income

Across 168 countries, Civil society participation and Women's political empowerment rise and fall together at r = +0.73 (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 = +0.73, q = 0.022, allowing for the many pairs tested).

Comparing countries across the middle half of civil society participation, 0.488 to 0.826 points, women's political empowerment is better by 0.186 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.17 points.

Link before adjusting (r)+0.729p = 4.4e-29 · 168 countries
After adjusting for national income+0.729p = 5.5e-29 · likely range [+0.65, +0.79]
p, allowing for regions0.001standard error 0.124 · 7 regions
Check for luck (q)0.022across 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.

Civil society participation · index (0-1)link with income +0.29 · independent
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

Civil society participation · index (0-1) →Women's political empowerment · index (0-1) →0.0430.9790.0280.954Afghanistan: 0.043 index (0-1), 0.028 index (0-1)Angola: 0.433 index (0-1), 0.77 index (0-1)Albania: 0.595 index (0-1), 0.893 index (0-1)United Arab Emirates: 0.273 index (0-1), 0.614 index (0-1)Argentina: 0.707 index (0-1), 0.832 index (0-1)Armenia: 0.656 index (0-1), 0.875 index (0-1)Australia: 0.928 index (0-1), 0.906 index (0-1)Austria: 0.884 index (0-1), 0.905 index (0-1)Azerbaijan: 0.079 index (0-1), 0.649 index (0-1)Burundi: 0.314 index (0-1), 0.653 index (0-1)Belgium: 0.947 index (0-1), 0.952 index (0-1)Benin: 0.632 index (0-1), 0.882 index (0-1)Burkina Faso: 0.636 index (0-1), 0.602 index (0-1)Bangladesh: 0.696 index (0-1), 0.537 index (0-1)Bulgaria: 0.858 index (0-1), 0.907 index (0-1)Bahrain: 0.245 index (0-1), 0.568 index (0-1)Bosnia and Herzegovina: 0.662 index (0-1), 0.821 index (0-1)Belarus: 0.112 index (0-1), 0.657 index (0-1)Bolivia: 0.845 index (0-1), 0.84 index (0-1)Brazil: 0.865 index (0-1), 0.818 index (0-1)Barbados: 0.896 index (0-1), 0.895 index (0-1)Bhutan: 0.694 index (0-1), 0.675 index (0-1)Botswana: 0.856 index (0-1), 0.699 index (0-1)Central African Republic: 0.337 index (0-1), 0.556 index (0-1)Canada: 0.938 index (0-1), 0.872 index (0-1)Switzerland: 0.971 index (0-1), 0.93 index (0-1)Chile: 0.775 index (0-1), 0.913 index (0-1)China: 0.219 index (0-1), 0.587 index (0-1)Cote d'Ivoire: 0.707 index (0-1), 0.696 index (0-1)Cameroon: 0.467 index (0-1), 0.76 index (0-1)Congo, Dem. Rep.: 0.515 index (0-1), 0.55 index (0-1)Congo, Rep.: 0.566 index (0-1), 0.466 index (0-1)Colombia: 0.787 index (0-1), 0.777 index (0-1)Comoros: 0.545 index (0-1), 0.556 index (0-1)Cabo Verde: 0.683 index (0-1), 0.855 index (0-1)Costa Rica: 0.883 index (0-1), 0.907 index (0-1)Cyprus: 0.827 index (0-1), 0.856 index (0-1)Czechia: 0.777 index (0-1), 0.93 index (0-1)Germany: 0.979 index (0-1), 0.942 index (0-1)Djibouti: 0.439 index (0-1), 0.584 index (0-1)Denmark: 0.971 index (0-1), 0.954 index (0-1)Dominican Republic: 0.823 index (0-1), 0.825 index (0-1)Algeria: 0.302 index (0-1), 0.625 index (0-1)Ecuador: 0.69 index (0-1), 0.79 index (0-1)Egypt, Arab Rep.: 0.212 index (0-1), 0.547 index (0-1)Spain: 0.891 index (0-1), 0.943 index (0-1)Estonia: 0.89 index (0-1), 0.941 index (0-1)Ethiopia: 0.629 index (0-1), 0.691 index (0-1)Finland: 0.948 index (0-1), 0.932 index (0-1)Fiji: 0.846 index (0-1), 0.644 index (0-1)France: 0.866 index (0-1), 0.929 index (0-1)Gabon: 0.714 index (0-1), 0.798 index (0-1)United Kingdom: 0.889 index (0-1), 0.838 index (0-1)Georgia: 0.552 index (0-1), 0.816 index (0-1)Ghana: 0.893 index (0-1), 0.767 index (0-1)Guinea: 0.531 index (0-1), 0.532 index (0-1)Gambia, The: 0.8 index (0-1), 0.813 index (0-1)Guinea-Bissau: 0.78 index (0-1), 0.502 index (0-1)Equatorial Guinea: 0.099 index (0-1), 0.449 index (0-1)Greece: 0.752 index (0-1), 0.896 index (0-1)Guatemala: 0.761 index (0-1), 0.722 index (0-1)Guyana: 0.768 index (0-1), 0.81 index (0-1)Hong Kong SAR, China: 0.4 index (0-1), 0.801 index (0-1)Honduras: 0.754 index (0-1), 0.789 index (0-1)Croatia: 0.694 index (0-1), 0.913 index (0-1)Haiti: 0.478 index (0-1), 0.403 index (0-1)Hungary: 0.434 index (0-1), 0.818 index (0-1)Indonesia: 0.711 index (0-1), 0.726 index (0-1)India: 0.694 index (0-1), 0.658 index (0-1)Ireland: 0.954 index (0-1), 0.927 index (0-1)Iran, Islamic Rep.: 0.154 index (0-1), 0.32 index (0-1)Iraq: 0.697 index (0-1), 0.555 index (0-1)Iceland: 0.874 index (0-1), 0.883 index (0-1)Israel: 0.803 index (0-1), 0.862 index (0-1)Italy: 0.882 index (0-1), 0.929 index (0-1)Jamaica: 0.777 index (0-1), 0.929 index (0-1)Jordan: 0.646 index (0-1), 0.669 index (0-1)Japan: 0.683 index (0-1), 0.844 index (0-1)Kazakhstan: 0.418 index (0-1), 0.682 index (0-1)Kenya: 0.718 index (0-1), 0.804 index (0-1)Kyrgyz Republic: 0.374 index (0-1), 0.733 index (0-1)Cambodia: 0.268 index (0-1), 0.534 index (0-1)Korea, Rep.: 0.804 index (0-1), 0.878 index (0-1)Kuwait: 0.473 index (0-1), 0.357 index (0-1)Lao PDR: 0.229 index (0-1), 0.508 index (0-1)Lebanon: 0.811 index (0-1), 0.608 index (0-1)Liberia: 0.899 index (0-1), 0.823 index (0-1)Libya: 0.631 index (0-1), 0.412 index (0-1)Sri Lanka: 0.805 index (0-1), 0.742 index (0-1)Lesotho: 0.742 index (0-1), 0.809 index (0-1)Lithuania: 0.831 index (0-1), 0.926 index (0-1)Luxembourg: 0.954 index (0-1), 0.896 index (0-1)Latvia: 0.892 index (0-1), 0.95 index (0-1)Morocco: 0.651 index (0-1), 0.712 index (0-1)Moldova: 0.787 index (0-1), 0.898 index (0-1)Madagascar: 0.686 index (0-1), 0.704 index (0-1)Maldives: 0.662 index (0-1), 0.532 index (0-1)Mexico: 0.49 index (0-1), 0.801 index (0-1)North Macedonia: 0.541 index (0-1), 0.824 index (0-1)Mali: 0.7 index (0-1), 0.706 index (0-1)Malta: 0.82 index (0-1), 0.917 index (0-1)Myanmar: 0.128 index (0-1), 0.33 index (0-1)Montenegro: 0.708 index (0-1), 0.866 index (0-1)Mongolia: 0.677 index (0-1), 0.806 index (0-1)Mozambique: 0.705 index (0-1), 0.725 index (0-1)Mauritania: 0.63 index (0-1), 0.541 index (0-1)Mauritius: 0.854 index (0-1), 0.814 index (0-1)Malawi: 0.931 index (0-1), 0.755 index (0-1)Malaysia: 0.755 index (0-1), 0.772 index (0-1)Namibia: 0.667 index (0-1), 0.855 index (0-1)Niger: 0.82 index (0-1), 0.709 index (0-1)Nigeria: 0.786 index (0-1), 0.732 index (0-1)Nicaragua: 0.114 index (0-1), 0.531 index (0-1)Netherlands: 0.826 index (0-1), 0.903 index (0-1)Norway: 0.973 index (0-1), 0.926 index (0-1)Nepal: 0.858 index (0-1), 0.792 index (0-1)New Zealand: 0.656 index (0-1), 0.937 index (0-1)Oman: 0.318 index (0-1), 0.357 index (0-1)Pakistan: 0.651 index (0-1), 0.524 index (0-1)Panama: 0.632 index (0-1), 0.742 index (0-1)Peru: 0.706 index (0-1), 0.775 index (0-1)Philippines: 0.666 index (0-1), 0.81 index (0-1)Papua New Guinea: 0.604 index (0-1), 0.48 index (0-1)Poland: 0.729 index (0-1), 0.878 index (0-1)Portugal: 0.711 index (0-1), 0.811 index (0-1)Paraguay: 0.484 index (0-1), 0.669 index (0-1)Qatar: 0.181 index (0-1), 0.388 index (0-1)Romania: 0.656 index (0-1), 0.872 index (0-1)Russian Federation: 0.202 index (0-1), 0.546 index (0-1)Rwanda: 0.402 index (0-1), 0.626 index (0-1)Saudi Arabia: 0.25 index (0-1), 0.347 index (0-1)Sudan: 0.256 index (0-1), 0.219 index (0-1)Senegal: 0.874 index (0-1), 0.855 index (0-1)Singapore: 0.412 index (0-1), 0.785 index (0-1)Solomon Islands: 0.727 index (0-1), 0.675 index (0-1)Sierra Leone: 0.902 index (0-1), 0.801 index (0-1)El Salvador: 0.407 index (0-1), 0.587 index (0-1)Somalia, Fed. Rep.: 0.68 index (0-1), 0.337 index (0-1)Serbia: 0.525 index (0-1), 0.864 index (0-1)Sao Tome and Principe: 0.675 index (0-1), 0.843 index (0-1)Suriname: 0.829 index (0-1), 0.877 index (0-1)Slovak Republic: 0.662 index (0-1), 0.878 index (0-1)Slovenia: 0.907 index (0-1), 0.94 index (0-1)Sweden: 0.939 index (0-1), 0.923 index (0-1)Eswatini: 0.383 index (0-1), 0.391 index (0-1)Seychelles: 0.858 index (0-1), 0.908 index (0-1)Syrian Arab Republic: 0.347 index (0-1), 0.29 index (0-1)Chad: 0.392 index (0-1), 0.625 index (0-1)Togo: 0.631 index (0-1), 0.692 index (0-1)Thailand: 0.641 index (0-1), 0.688 index (0-1)Tajikistan: 0.153 index (0-1), 0.431 index (0-1)Turkmenistan: 0.065 index (0-1), 0.437 index (0-1)Timor-Leste: 0.754 index (0-1), 0.768 index (0-1)Trinidad and Tobago: 0.907 index (0-1), 0.874 index (0-1)Tunisia: 0.478 index (0-1), 0.765 index (0-1)Turkiye: 0.355 index (0-1), 0.558 index (0-1)Tanzania: 0.793 index (0-1), 0.834 index (0-1)Uganda: 0.698 index (0-1), 0.636 index (0-1)Ukraine: 0.726 index (0-1), 0.888 index (0-1)Uruguay: 0.845 index (0-1), 0.875 index (0-1)United States: 0.963 index (0-1), 0.829 index (0-1)Uzbekistan: 0.344 index (0-1), 0.643 index (0-1)Viet Nam: 0.666 index (0-1), 0.808 index (0-1)Vanuatu: 0.82 index (0-1), 0.715 index (0-1)Kosovo: 0.555 index (0-1), 0.771 index (0-1)South Africa: 0.776 index (0-1), 0.83 index (0-1)Zambia: 0.918 index (0-1), 0.791 index (0-1)Zimbabwe: 0.757 index (0-1), 0.727 index (0-1)AFGAZEBELBLRDEUDNKGNBHKGLBYMMRSDNSOM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.7294.4e-29168
By rank (Spearman), not adjusted+0.7231.7e-28168
Standard (Pearson), adjusted for national income+0.7295.5e-29168
By rank (Spearman), adjusted for national income+0.7061.6e-26168

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: -0.001 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.718 (without QAT) to +0.740 (without SOM). 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: QAT (-0.011).

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+0.79
Europe & Central Asia49+0.84
Latin America & Caribbean23+0.75
Middle East, North Africa, Afghanistan & Pakistan21+0.73
Sub-Saharan Africa46+0.61

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+0.71
Middle third56+0.66
Richest third56+0.84

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+0.65
Muslims48+0.63

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+0.57
Never a European colony21+0.82
Spain19+0.90
United Kingdom49+0.77

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 = +0.716 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 = +0.570). It holds even when looking only at changes from one year to the next (r = +0.383). 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)+0.729for comparison
Within countries+0.618each country vs itself
…and vs the same year elsewhere+0.570q = 0.000 · 175 countries
Year-on-year changes+0.383q = 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: 18% for Civil society participation, 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 Civil society participation →lag -10: r = 0.022 (n = 4,469)lag -9: r = 0.060 (n = 4,643)lag -8: r = 0.109 (n = 4,818)lag -7: r = 0.159 (n = 4,993)lag -6: r = 0.211 (n = 5,168)lag -5: r = 0.264 (n = 5,343)lag -4: r = 0.326 (n = 5,518)lag -3: r = 0.391 (n = 5,693)lag -2: r = 0.458 (n = 5,868)lag -1: r = 0.520 (n = 6,043)lag +0: r = 0.570 (n = 6,218)lag +1: r = 0.548 (n = 6,045)lag +2: r = 0.502 (n = 5,874)lag +3: r = 0.455 (n = 5,704)lag +4: r = 0.408 (n = 5,534)lag +5: r = 0.356 (n = 5,364)lag +6: r = 0.311 (n = 5,194)lag +7: r = 0.263 (n = 5,024)lag +8: r = 0.216 (n = 4,854)lag +9: r = 0.168 (n = 4,683)lag +10: r = 0.123 (n = 4,512)

Same year (lag 0): +0.570. 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
Germany DEU0.9790.9422025
Norway NOR0.9730.9262025
Denmark DNK0.9710.9542025
Switzerland CHE0.9710.932025
United States USA0.9630.8292025
Luxembourg LUX0.9540.8962025
Ireland IRL0.9540.9272025
Finland FIN0.9480.9322025
Belgium BEL0.9470.9522025
Sweden SWE0.9390.9232025
Canada CAN0.9380.8722025
Malawi MWI0.9310.7552025
Australia AUS0.9280.9062025
Zambia ZMB0.9180.7912025
Trinidad and Tobago TTO0.9070.8742025

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

Civil society participation

Civil society participation index

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

How far governments consult civic groups, and how widely people take part in them. A part of the participatory 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 Civil society participation and Women's political empowerment

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

More links with Civil society participation or Women's political empowerment