placestats

Governance score vs. Women's political empowerment

Holds up after adjusting for income

Across 168 countries, Governance score and Women's political empowerment rise and fall together at r = +0.82 (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 = +0.77, q = 0.0033, allowing for the many pairs tested).

Comparing countries across the middle half of women's political empowerment, 0.625 to 0.873 points, governance score is better by 0.999 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.911 typical gaps.

Link before adjusting (r)+0.820p = 4.2e-42 · 168 countries
After adjusting for national income+0.771p = 4.3e-34 · likely range [+0.70, +0.83]
p, allowing for regions0.001standard error 0.135 · 7 regions
Check for luck (q)0.003across 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.

Governance score · typical gaps (standard deviations)link with income +0.53 · 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

Governance score · typical gaps (standard deviations) →Women's political empowerment · index (0-1) →-1.41.470.0280.954Afghanistan: -1.4 typical gaps (standard deviations), 0.028 index (0-1)Angola: -0.522 typical gaps (standard deviations), 0.77 index (0-1)Albania: 0.323 typical gaps (standard deviations), 0.893 index (0-1)United Arab Emirates: -0.981 typical gaps (standard deviations), 0.614 index (0-1)Argentina: 0.815 typical gaps (standard deviations), 0.832 index (0-1)Armenia: 0.22 typical gaps (standard deviations), 0.875 index (0-1)Australia: 1.38 typical gaps (standard deviations), 0.906 index (0-1)Austria: 1.33 typical gaps (standard deviations), 0.905 index (0-1)Azerbaijan: -1.33 typical gaps (standard deviations), 0.649 index (0-1)Burundi: -1.09 typical gaps (standard deviations), 0.653 index (0-1)Belgium: 1.41 typical gaps (standard deviations), 0.952 index (0-1)Benin: 0.285 typical gaps (standard deviations), 0.882 index (0-1)Burkina Faso: -0.784 typical gaps (standard deviations), 0.602 index (0-1)Bangladesh: -0.359 typical gaps (standard deviations), 0.537 index (0-1)Bulgaria: 0.74 typical gaps (standard deviations), 0.907 index (0-1)Bahrain: -1.05 typical gaps (standard deviations), 0.568 index (0-1)Bosnia and Herzegovina: 0.0899 typical gaps (standard deviations), 0.821 index (0-1)Belarus: -1.26 typical gaps (standard deviations), 0.657 index (0-1)Bolivia: 0.552 typical gaps (standard deviations), 0.84 index (0-1)Brazil: 0.85 typical gaps (standard deviations), 0.818 index (0-1)Barbados: 1.24 typical gaps (standard deviations), 0.895 index (0-1)Bhutan: 0.61 typical gaps (standard deviations), 0.675 index (0-1)Botswana: 0.872 typical gaps (standard deviations), 0.699 index (0-1)Central African Republic: -1.02 typical gaps (standard deviations), 0.556 index (0-1)Canada: 1.36 typical gaps (standard deviations), 0.872 index (0-1)Switzerland: 1.47 typical gaps (standard deviations), 0.93 index (0-1)Chile: 1.32 typical gaps (standard deviations), 0.913 index (0-1)China: -1.2 typical gaps (standard deviations), 0.587 index (0-1)Cote d'Ivoire: -0.116 typical gaps (standard deviations), 0.696 index (0-1)Cameroon: -0.834 typical gaps (standard deviations), 0.76 index (0-1)Congo, Dem. Rep.: -0.824 typical gaps (standard deviations), 0.55 index (0-1)Congo, Rep.: -0.925 typical gaps (standard deviations), 0.466 index (0-1)Colombia: 0.733 typical gaps (standard deviations), 0.777 index (0-1)Comoros: -0.464 typical gaps (standard deviations), 0.556 index (0-1)Cabo Verde: 1.15 typical gaps (standard deviations), 0.855 index (0-1)Costa Rica: 1.34 typical gaps (standard deviations), 0.907 index (0-1)Cyprus: 1.1 typical gaps (standard deviations), 0.856 index (0-1)Czechia: 1.31 typical gaps (standard deviations), 0.93 index (0-1)Germany: 1.36 typical gaps (standard deviations), 0.942 index (0-1)Djibouti: -0.784 typical gaps (standard deviations), 0.584 index (0-1)Denmark: 1.47 typical gaps (standard deviations), 0.954 index (0-1)Dominican Republic: 0.621 typical gaps (standard deviations), 0.825 index (0-1)Algeria: -0.695 typical gaps (standard deviations), 0.625 index (0-1)Ecuador: 0.447 typical gaps (standard deviations), 0.79 index (0-1)Egypt, Arab Rep.: -0.987 typical gaps (standard deviations), 0.547 index (0-1)Spain: 1.32 typical gaps (standard deviations), 0.943 index (0-1)Estonia: 1.41 typical gaps (standard deviations), 0.941 index (0-1)Ethiopia: -0.741 typical gaps (standard deviations), 0.691 index (0-1)Finland: 1.38 typical gaps (standard deviations), 0.932 index (0-1)Fiji: 0.57 typical gaps (standard deviations), 0.644 index (0-1)France: 1.24 typical gaps (standard deviations), 0.929 index (0-1)Gabon: -0.529 typical gaps (standard deviations), 0.798 index (0-1)United Kingdom: 1.27 typical gaps (standard deviations), 0.838 index (0-1)Georgia: 0.0179 typical gaps (standard deviations), 0.816 index (0-1)Ghana: 0.845 typical gaps (standard deviations), 0.767 index (0-1)Guinea: -0.676 typical gaps (standard deviations), 0.532 index (0-1)Gambia, The: 0.362 typical gaps (standard deviations), 0.813 index (0-1)Guinea-Bissau: -0.465 typical gaps (standard deviations), 0.502 index (0-1)Equatorial Guinea: -1.32 typical gaps (standard deviations), 0.449 index (0-1)Greece: 0.914 typical gaps (standard deviations), 0.896 index (0-1)Guatemala: 0.291 typical gaps (standard deviations), 0.722 index (0-1)Guyana: 0.538 typical gaps (standard deviations), 0.81 index (0-1)Hong Kong SAR, China: -0.536 typical gaps (standard deviations), 0.801 index (0-1)Honduras: 0.146 typical gaps (standard deviations), 0.789 index (0-1)Croatia: 0.865 typical gaps (standard deviations), 0.913 index (0-1)Haiti: -0.66 typical gaps (standard deviations), 0.403 index (0-1)Hungary: 0.225 typical gaps (standard deviations), 0.818 index (0-1)Indonesia: 0.125 typical gaps (standard deviations), 0.726 index (0-1)India: 0.146 typical gaps (standard deviations), 0.658 index (0-1)Ireland: 1.41 typical gaps (standard deviations), 0.927 index (0-1)Iran, Islamic Rep.: -1.26 typical gaps (standard deviations), 0.32 index (0-1)Iraq: -0.488 typical gaps (standard deviations), 0.555 index (0-1)Iceland: 1.32 typical gaps (standard deviations), 0.883 index (0-1)Israel: 0.783 typical gaps (standard deviations), 0.862 index (0-1)Italy: 1 typical gaps (standard deviations), 0.929 index (0-1)Jamaica: 1.01 typical gaps (standard deviations), 0.929 index (0-1)Jordan: -0.271 typical gaps (standard deviations), 0.669 index (0-1)Japan: 1.28 typical gaps (standard deviations), 0.844 index (0-1)Kazakhstan: -0.796 typical gaps (standard deviations), 0.682 index (0-1)Kenya: 0.217 typical gaps (standard deviations), 0.804 index (0-1)Kyrgyz Republic: -0.725 typical gaps (standard deviations), 0.733 index (0-1)Cambodia: -1.01 typical gaps (standard deviations), 0.534 index (0-1)Korea, Rep.: 1.05 typical gaps (standard deviations), 0.878 index (0-1)Kuwait: -0.696 typical gaps (standard deviations), 0.357 index (0-1)Lao PDR: -1.14 typical gaps (standard deviations), 0.508 index (0-1)Lebanon: -0.112 typical gaps (standard deviations), 0.608 index (0-1)Liberia: 0.416 typical gaps (standard deviations), 0.823 index (0-1)Libya: -0.885 typical gaps (standard deviations), 0.412 index (0-1)Sri Lanka: 0.602 typical gaps (standard deviations), 0.742 index (0-1)Lesotho: 0.671 typical gaps (standard deviations), 0.809 index (0-1)Lithuania: 1.14 typical gaps (standard deviations), 0.926 index (0-1)Luxembourg: 1.38 typical gaps (standard deviations), 0.896 index (0-1)Latvia: 1.22 typical gaps (standard deviations), 0.95 index (0-1)Morocco: -0.351 typical gaps (standard deviations), 0.712 index (0-1)Moldova: 0.5 typical gaps (standard deviations), 0.898 index (0-1)Madagascar: -0.193 typical gaps (standard deviations), 0.704 index (0-1)Maldives: 0.0802 typical gaps (standard deviations), 0.532 index (0-1)Mexico: 0.134 typical gaps (standard deviations), 0.801 index (0-1)North Macedonia: 0.352 typical gaps (standard deviations), 0.824 index (0-1)Mali: -0.753 typical gaps (standard deviations), 0.706 index (0-1)Malta: 1.12 typical gaps (standard deviations), 0.917 index (0-1)Myanmar: -1.39 typical gaps (standard deviations), 0.33 index (0-1)Montenegro: 0.55 typical gaps (standard deviations), 0.866 index (0-1)Mongolia: 0.716 typical gaps (standard deviations), 0.806 index (0-1)Mozambique: -0.298 typical gaps (standard deviations), 0.725 index (0-1)Mauritania: -0.421 typical gaps (standard deviations), 0.541 index (0-1)Mauritius: 1.07 typical gaps (standard deviations), 0.814 index (0-1)Malawi: 0.576 typical gaps (standard deviations), 0.755 index (0-1)Malaysia: 0.169 typical gaps (standard deviations), 0.772 index (0-1)Namibia: 0.69 typical gaps (standard deviations), 0.855 index (0-1)Niger: -0.548 typical gaps (standard deviations), 0.709 index (0-1)Nigeria: -0.0132 typical gaps (standard deviations), 0.732 index (0-1)Nicaragua: -1.24 typical gaps (standard deviations), 0.531 index (0-1)Netherlands: 1.32 typical gaps (standard deviations), 0.903 index (0-1)Norway: 1.43 typical gaps (standard deviations), 0.926 index (0-1)Nepal: 0.441 typical gaps (standard deviations), 0.792 index (0-1)New Zealand: 1.32 typical gaps (standard deviations), 0.937 index (0-1)Oman: -0.665 typical gaps (standard deviations), 0.357 index (0-1)Pakistan: -0.437 typical gaps (standard deviations), 0.524 index (0-1)Panama: 0.84 typical gaps (standard deviations), 0.742 index (0-1)Peru: 0.522 typical gaps (standard deviations), 0.775 index (0-1)Philippines: 0.0585 typical gaps (standard deviations), 0.81 index (0-1)Papua New Guinea: 0.227 typical gaps (standard deviations), 0.48 index (0-1)Poland: 0.996 typical gaps (standard deviations), 0.878 index (0-1)Portugal: 1.26 typical gaps (standard deviations), 0.811 index (0-1)Paraguay: 0.349 typical gaps (standard deviations), 0.669 index (0-1)Qatar: -0.908 typical gaps (standard deviations), 0.388 index (0-1)Romania: 0.749 typical gaps (standard deviations), 0.872 index (0-1)Russian Federation: -1.14 typical gaps (standard deviations), 0.546 index (0-1)Rwanda: -0.868 typical gaps (standard deviations), 0.626 index (0-1)Saudi Arabia: -1.14 typical gaps (standard deviations), 0.347 index (0-1)Sudan: -1.22 typical gaps (standard deviations), 0.219 index (0-1)Senegal: 0.683 typical gaps (standard deviations), 0.855 index (0-1)Singapore: 0.0449 typical gaps (standard deviations), 0.785 index (0-1)Solomon Islands: 0.697 typical gaps (standard deviations), 0.675 index (0-1)Sierra Leone: 0.299 typical gaps (standard deviations), 0.801 index (0-1)El Salvador: -0.352 typical gaps (standard deviations), 0.587 index (0-1)Somalia, Fed. Rep.: -1.01 typical gaps (standard deviations), 0.337 index (0-1)Serbia: -0.0738 typical gaps (standard deviations), 0.864 index (0-1)Sao Tome and Principe: 0.8 typical gaps (standard deviations), 0.843 index (0-1)Suriname: 0.996 typical gaps (standard deviations), 0.877 index (0-1)Slovak Republic: 1.02 typical gaps (standard deviations), 0.878 index (0-1)Slovenia: 1.19 typical gaps (standard deviations), 0.94 index (0-1)Sweden: 1.42 typical gaps (standard deviations), 0.923 index (0-1)Eswatini: -1.05 typical gaps (standard deviations), 0.391 index (0-1)Seychelles: 0.975 typical gaps (standard deviations), 0.908 index (0-1)Syrian Arab Republic: -1.05 typical gaps (standard deviations), 0.29 index (0-1)Chad: -0.999 typical gaps (standard deviations), 0.625 index (0-1)Togo: -0.371 typical gaps (standard deviations), 0.692 index (0-1)Thailand: -0.383 typical gaps (standard deviations), 0.688 index (0-1)Tajikistan: -1.34 typical gaps (standard deviations), 0.431 index (0-1)Turkmenistan: -1.39 typical gaps (standard deviations), 0.437 index (0-1)Timor-Leste: 0.779 typical gaps (standard deviations), 0.768 index (0-1)Trinidad and Tobago: 1.03 typical gaps (standard deviations), 0.874 index (0-1)Tunisia: -0.257 typical gaps (standard deviations), 0.765 index (0-1)Turkiye: -0.691 typical gaps (standard deviations), 0.558 index (0-1)Tanzania: -0.315 typical gaps (standard deviations), 0.834 index (0-1)Uganda: -0.646 typical gaps (standard deviations), 0.636 index (0-1)Ukraine: -0.0525 typical gaps (standard deviations), 0.888 index (0-1)Uruguay: 1.39 typical gaps (standard deviations), 0.875 index (0-1)United States: 0.998 typical gaps (standard deviations), 0.829 index (0-1)Uzbekistan: -1.04 typical gaps (standard deviations), 0.643 index (0-1)Viet Nam: -0.933 typical gaps (standard deviations), 0.808 index (0-1)Vanuatu: 0.885 typical gaps (standard deviations), 0.715 index (0-1)Kosovo: 0.371 typical gaps (standard deviations), 0.771 index (0-1)South Africa: 0.883 typical gaps (standard deviations), 0.83 index (0-1)Zambia: 0.212 typical gaps (standard deviations), 0.791 index (0-1)Zimbabwe: -0.609 typical gaps (standard deviations), 0.727 index (0-1)AFGAZEBELCHECMRDNKMMRPNGSDNVNM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.8204.2e-42168
By rank (Spearman), not adjusted+0.8628.7e-51168
Standard (Pearson), adjusted for national income+0.7714.3e-34168
By rank (Spearman), adjusted for national income+0.8061.9e-39168

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: +0.050 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.761 (without SAU) to +0.781 (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 (+0.010).

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+0.73
Europe & Central Asia49+0.83
Latin America & Caribbean23+0.81
Middle East, North Africa, Afghanistan & Pakistan21+0.80
Sub-Saharan Africa46+0.72

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+0.70
Middle third56+0.74
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+0.67
Muslims48+0.73

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+0.60
Never a European colony21+0.75
Spain19+0.90
United Kingdom49+0.83

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 = +0.785 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 0years. So a link here can’t come from anything about a country that stays the same, such as its history, geography, institutions or culture.

Not enough history inside each country to look at this over time. That needs countries measured for several years in a row, and at least one of these measures is measured too rarely.

The data


typical gaps (standard deviations)

index (0-1)
Years
Denmark DNK1.470.9542025
Switzerland CHE1.470.932025
Norway NOR1.430.9262025
Sweden SWE1.420.9232025
Ireland IRL1.410.9272025
Belgium BEL1.410.9522025
Estonia EST1.410.9412025
Uruguay URY1.390.8752025
Finland FIN1.380.9322025
Australia AUS1.380.9062025
Luxembourg LUX1.380.8962025
Germany DEU1.360.9422025
Canada CAN1.360.8722025
Costa Rica CRI1.340.9072025
Austria AUT1.330.9052025

fh; un_sdg; vdem; wdi; wgi
Coppedge, M. et al., V-Dem Dataset, Varieties of Democracy (V-Dem) Project

Sources

Governance score

Governance score

PlaceStats · via PlaceStats · Derived work; each member keeps its own licence · updated recomputed with the panel

The average of 19 measures from 5 publishers. Each measure is first put on a common scale: 0 is the average country in an average year, and 1 is a typical gap between countries (a standard deviation). Each is turned so that higher is better. Measures are averaged within each publisher first, so a publisher with many measures does not count for more. Members: Civil liberties (FH), Political rights (FH), Pre-trial detainee share, Civil society participation, Political corruption, Electoral democracy, Freedom of association, Freedom of expression, Free and fair elections, Liberal democracy, Participatory democracy, Political civil liberties, Birth registration, Control of corruption, Government effectiveness, Political stability, Rule of law, Regulatory quality, Voice and accountability.

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 Governance score and Women's political empowerment

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

More links with Governance score or Women's political empowerment