placestats

Gender score vs. Participatory democracy

Holds up after adjusting for income

Across 167 countries, Gender score and Participatory democracy rise and fall together at r = +0.63 (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 = +0.56, q = 0.017, allowing for the many pairs tested).

Comparing countries across the middle half of participatory democracy, 0.142 to 0.478 points, gender score is better by 0.796 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.77 typical gaps.

Link before adjusting (r)+0.628p = 1.0e-19 · 167 countries
After adjusting for national income+0.563p = 3.0e-15 · likely range [+0.45, +0.66]
p, allowing for regions0.003standard error 0.118 · 7 regions
Check for luck (q)0.017across 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.

Gender score · typical gaps (standard deviations)link with income +0.37 · moderate
Participatory democracy · index (0-1)link with income +0.47 · moderate

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

Every country as a dot

Gender score · typical gaps (standard deviations) →Participatory democracy · index (0-1) →-1.212.190.0260.785Afghanistan: -0.756 typical gaps (standard deviations), 0.051 index (0-1)Angola: 0.461 typical gaps (standard deviations), 0.103 index (0-1)Albania: 1.27 typical gaps (standard deviations), 0.29 index (0-1)United Arab Emirates: 0.89 typical gaps (standard deviations), 0.031 index (0-1)Argentina: 1.08 typical gaps (standard deviations), 0.429 index (0-1)Armenia: 1.26 typical gaps (standard deviations), 0.319 index (0-1)Australia: 1.57 typical gaps (standard deviations), 0.648 index (0-1)Austria: 1.17 typical gaps (standard deviations), 0.582 index (0-1)Azerbaijan: -0.374 typical gaps (standard deviations), 0.043 index (0-1)Burundi: 0.991 typical gaps (standard deviations), 0.142 index (0-1)Belgium: 1.45 typical gaps (standard deviations), 0.633 index (0-1)Benin: 0.759 typical gaps (standard deviations), 0.28 index (0-1)Burkina Faso: -0.093 typical gaps (standard deviations), 0.104 index (0-1)Bangladesh: -0.782 typical gaps (standard deviations), 0.099 index (0-1)Bulgaria: 0.273 typical gaps (standard deviations), 0.397 index (0-1)Bahrain: 0.0565 typical gaps (standard deviations), 0.054 index (0-1)Bosnia and Herzegovina: 0.116 typical gaps (standard deviations), 0.298 index (0-1)Belarus: 0.153 typical gaps (standard deviations), 0.054 index (0-1)Bolivia: 0.641 typical gaps (standard deviations), 0.414 index (0-1)Brazil: 0.685 typical gaps (standard deviations), 0.528 index (0-1)Barbados: 1.16 typical gaps (standard deviations), 0.347 index (0-1)Bhutan: -0.491 typical gaps (standard deviations), 0.349 index (0-1)Botswana: 0.25 typical gaps (standard deviations), 0.369 index (0-1)Central African Republic: -0.215 typical gaps (standard deviations), 0.13 index (0-1)Canada: 1.38 typical gaps (standard deviations), 0.589 index (0-1)Switzerland: 1.22 typical gaps (standard deviations), 0.785 index (0-1)Chile: 1.72 typical gaps (standard deviations), 0.574 index (0-1)China: -0.0629 typical gaps (standard deviations), 0.036 index (0-1)Cote d'Ivoire: 0.00107 typical gaps (standard deviations), 0.262 index (0-1)Cameroon: 0.739 typical gaps (standard deviations), 0.093 index (0-1)Congo, Dem. Rep.: -0.00209 typical gaps (standard deviations), 0.2 index (0-1)Congo, Rep.: -0.252 typical gaps (standard deviations), 0.188 index (0-1)Colombia: 0.908 typical gaps (standard deviations), 0.467 index (0-1)Comoros: -0.257 typical gaps (standard deviations), 0.2 index (0-1)Cabo Verde: 1.2 typical gaps (standard deviations), 0.458 index (0-1)Costa Rica: 1.7 typical gaps (standard deviations), 0.606 index (0-1)Cyprus: 0.593 typical gaps (standard deviations), 0.49 index (0-1)Czechia: 0.196 typical gaps (standard deviations), 0.562 index (0-1)Germany: 1.34 typical gaps (standard deviations), 0.593 index (0-1)Djibouti: 0.259 typical gaps (standard deviations), 0.142 index (0-1)Denmark: 1.1 typical gaps (standard deviations), 0.7 index (0-1)Dominican Republic: 1.32 typical gaps (standard deviations), 0.475 index (0-1)Algeria: -0.399 typical gaps (standard deviations), 0.095 index (0-1)Ecuador: 1.34 typical gaps (standard deviations), 0.462 index (0-1)Egypt, Arab Rep.: -0.204 typical gaps (standard deviations), 0.076 index (0-1)Spain: 1.69 typical gaps (standard deviations), 0.572 index (0-1)Estonia: 1.7 typical gaps (standard deviations), 0.621 index (0-1)Ethiopia: 1.4 typical gaps (standard deviations), 0.128 index (0-1)Finland: 2.04 typical gaps (standard deviations), 0.597 index (0-1)Fiji: -0.199 typical gaps (standard deviations), 0.265 index (0-1)France: 1.36 typical gaps (standard deviations), 0.597 index (0-1)Gabon: 0.419 typical gaps (standard deviations), 0.24 index (0-1)United Kingdom: 1.23 typical gaps (standard deviations), 0.533 index (0-1)Georgia: 0.641 typical gaps (standard deviations), 0.236 index (0-1)Ghana: 0.134 typical gaps (standard deviations), 0.361 index (0-1)Guinea: 0.289 typical gaps (standard deviations), 0.12 index (0-1)Gambia, The: 0.216 typical gaps (standard deviations), 0.406 index (0-1)Guinea-Bissau: -0.221 typical gaps (standard deviations), 0.128 index (0-1)Equatorial Guinea: -0.151 typical gaps (standard deviations), 0.041 index (0-1)Greece: 0.861 typical gaps (standard deviations), 0.493 index (0-1)Guatemala: 0.823 typical gaps (standard deviations), 0.421 index (0-1)Guyana: 1.29 typical gaps (standard deviations), 0.283 index (0-1)Honduras: 1.04 typical gaps (standard deviations), 0.32 index (0-1)Croatia: 0.51 typical gaps (standard deviations), 0.459 index (0-1)Haiti: -0.419 typical gaps (standard deviations), 0.119 index (0-1)Hungary: -0.00646 typical gaps (standard deviations), 0.268 index (0-1)Indonesia: 0.0942 typical gaps (standard deviations), 0.298 index (0-1)India: -0.409 typical gaps (standard deviations), 0.246 index (0-1)Ireland: 0.727 typical gaps (standard deviations), 0.619 index (0-1)Iran, Islamic Rep.: -0.961 typical gaps (standard deviations), 0.042 index (0-1)Iraq: 0.119 typical gaps (standard deviations), 0.224 index (0-1)Iceland: 2.19 typical gaps (standard deviations), 0.565 index (0-1)Israel: 0.453 typical gaps (standard deviations), 0.455 index (0-1)Italy: 0.707 typical gaps (standard deviations), 0.569 index (0-1)Jamaica: 1.09 typical gaps (standard deviations), 0.524 index (0-1)Jordan: -0.0146 typical gaps (standard deviations), 0.132 index (0-1)Japan: -0.021 typical gaps (standard deviations), 0.526 index (0-1)Kazakhstan: 0.296 typical gaps (standard deviations), 0.107 index (0-1)Kenya: 0.693 typical gaps (standard deviations), 0.335 index (0-1)Kyrgyz Republic: 0.129 typical gaps (standard deviations), 0.163 index (0-1)Cambodia: -0.47 typical gaps (standard deviations), 0.06 index (0-1)Korea, Rep.: 0.412 typical gaps (standard deviations), 0.551 index (0-1)Kuwait: -1.02 typical gaps (standard deviations), 0.053 index (0-1)Lao PDR: -0.093 typical gaps (standard deviations), 0.118 index (0-1)Lebanon: -0.687 typical gaps (standard deviations), 0.222 index (0-1)Liberia: 0.525 typical gaps (standard deviations), 0.321 index (0-1)Libya: -0.0625 typical gaps (standard deviations), 0.087 index (0-1)Sri Lanka: -0.262 typical gaps (standard deviations), 0.52 index (0-1)Lesotho: 0.261 typical gaps (standard deviations), 0.404 index (0-1)Lithuania: 0.944 typical gaps (standard deviations), 0.56 index (0-1)Luxembourg: 0.927 typical gaps (standard deviations), 0.556 index (0-1)Latvia: 1.32 typical gaps (standard deviations), 0.595 index (0-1)Morocco: 0.514 typical gaps (standard deviations), 0.151 index (0-1)Moldova: 1.45 typical gaps (standard deviations), 0.389 index (0-1)Madagascar: 0.668 typical gaps (standard deviations), 0.217 index (0-1)Maldives: -0.746 typical gaps (standard deviations), 0.316 index (0-1)Mexico: 1.33 typical gaps (standard deviations), 0.337 index (0-1)North Macedonia: 1.08 typical gaps (standard deviations), 0.354 index (0-1)Mali: 0.147 typical gaps (standard deviations), 0.164 index (0-1)Malta: 0.55 typical gaps (standard deviations), 0.529 index (0-1)Myanmar: 0.308 typical gaps (standard deviations), 0.041 index (0-1)Montenegro: 0.895 typical gaps (standard deviations), 0.403 index (0-1)Mongolia: 0.547 typical gaps (standard deviations), 0.281 index (0-1)Mozambique: 0.926 typical gaps (standard deviations), 0.201 index (0-1)Mauritania: 0.103 typical gaps (standard deviations), 0.221 index (0-1)Mauritius: 0.0843 typical gaps (standard deviations), 0.481 index (0-1)Malawi: 0.728 typical gaps (standard deviations), 0.366 index (0-1)Malaysia: -0.0868 typical gaps (standard deviations), 0.303 index (0-1)Namibia: 1.41 typical gaps (standard deviations), 0.349 index (0-1)Niger: 0.397 typical gaps (standard deviations), 0.189 index (0-1)Nigeria: -0.213 typical gaps (standard deviations), 0.323 index (0-1)Nicaragua: 1.98 typical gaps (standard deviations), 0.098 index (0-1)Netherlands: 1.19 typical gaps (standard deviations), 0.553 index (0-1)Norway: 1.53 typical gaps (standard deviations), 0.638 index (0-1)Nepal: 0.416 typical gaps (standard deviations), 0.435 index (0-1)New Zealand: 1.62 typical gaps (standard deviations), 0.581 index (0-1)Oman: -0.95 typical gaps (standard deviations), 0.12 index (0-1)Pakistan: -0.689 typical gaps (standard deviations), 0.192 index (0-1)Panama: 0.873 typical gaps (standard deviations), 0.441 index (0-1)Peru: 0.933 typical gaps (standard deviations), 0.448 index (0-1)Philippines: 0.494 typical gaps (standard deviations), 0.261 index (0-1)Papua New Guinea: -1.01 typical gaps (standard deviations), 0.28 index (0-1)Poland: 1.13 typical gaps (standard deviations), 0.519 index (0-1)Portugal: 1.05 typical gaps (standard deviations), 0.529 index (0-1)Paraguay: 0.39 typical gaps (standard deviations), 0.342 index (0-1)Qatar: -0.892 typical gaps (standard deviations), 0.034 index (0-1)Romania: 0.285 typical gaps (standard deviations), 0.416 index (0-1)Russian Federation: 0.137 typical gaps (standard deviations), 0.124 index (0-1)Rwanda: 1.02 typical gaps (standard deviations), 0.13 index (0-1)Saudi Arabia: -0.552 typical gaps (standard deviations), 0.026 index (0-1)Sudan: -1.21 typical gaps (standard deviations), 0.051 index (0-1)Senegal: 0.477 typical gaps (standard deviations), 0.402 index (0-1)Singapore: 1.04 typical gaps (standard deviations), 0.121 index (0-1)Solomon Islands: -0.473 typical gaps (standard deviations), 0.429 index (0-1)Sierra Leone: 0.991 typical gaps (standard deviations), 0.307 index (0-1)El Salvador: 0.618 typical gaps (standard deviations), 0.159 index (0-1)Somalia, Fed. Rep.: -0.615 typical gaps (standard deviations), 0.095 index (0-1)Serbia: 1.01 typical gaps (standard deviations), 0.217 index (0-1)Sao Tome and Principe: 0.8 typical gaps (standard deviations), 0.391 index (0-1)Suriname: 1.04 typical gaps (standard deviations), 0.509 index (0-1)Slovak Republic: 0.374 typical gaps (standard deviations), 0.508 index (0-1)Slovenia: 1.26 typical gaps (standard deviations), 0.506 index (0-1)Sweden: 1.79 typical gaps (standard deviations), 0.635 index (0-1)Eswatini: -0.0447 typical gaps (standard deviations), 0.11 index (0-1)Seychelles: 1.17 typical gaps (standard deviations), 0.341 index (0-1)Syrian Arab Republic: -0.767 typical gaps (standard deviations), 0.058 index (0-1)Chad: 0.144 typical gaps (standard deviations), 0.129 index (0-1)Togo: 0.48 typical gaps (standard deviations), 0.233 index (0-1)Thailand: 0.332 typical gaps (standard deviations), 0.186 index (0-1)Tajikistan: -0.106 typical gaps (standard deviations), 0.059 index (0-1)Turkmenistan: -0.394 typical gaps (standard deviations), 0.033 index (0-1)Timor-Leste: 0.73 typical gaps (standard deviations), 0.462 index (0-1)Trinidad and Tobago: 1.21 typical gaps (standard deviations), 0.505 index (0-1)Tunisia: 0.319 typical gaps (standard deviations), 0.242 index (0-1)Turkiye: -0.502 typical gaps (standard deviations), 0.165 index (0-1)Tanzania: 0.828 typical gaps (standard deviations), 0.245 index (0-1)Uganda: 0.849 typical gaps (standard deviations), 0.156 index (0-1)Ukraine: 0.643 typical gaps (standard deviations), 0.252 index (0-1)Uruguay: 0.63 typical gaps (standard deviations), 0.716 index (0-1)United States: 1.06 typical gaps (standard deviations), 0.51 index (0-1)Uzbekistan: 0.228 typical gaps (standard deviations), 0.082 index (0-1)Viet Nam: 0.0903 typical gaps (standard deviations), 0.164 index (0-1)Vanuatu: 0.107 typical gaps (standard deviations), 0.323 index (0-1)Kosovo: 0.375 typical gaps (standard deviations), 0.346 index (0-1)South Africa: 1.45 typical gaps (standard deviations), 0.47 index (0-1)Zambia: 0.211 typical gaps (standard deviations), 0.348 index (0-1)Zimbabwe: 0.576 typical gaps (standard deviations), 0.202 index (0-1)AREETHFINIRNISLKWTLKANICSDNSLBSWEURY

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.6281.0e-19167
By rank (Spearman), not adjusted+0.6372.1e-20167
Standard (Pearson), adjusted for national income+0.5633.0e-15167
By rank (Spearman), adjusted for national income+0.5623.2e-15167

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 167 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: +0.065 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.542 (without QAT) to +0.590 (without NIC). 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: NIC (+0.027).

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 & Pacific20+0.38
Europe & Central Asia49+0.64
Latin America & Caribbean23-0.03
Middle East, North Africa, Afghanistan & Pakistan21+0.47
Sub-Saharan Africa46+0.35

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+0.24
Middle third55+0.62
Richest third56+0.69

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+0.34
Muslims48+0.44

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+0.50
Never a European colony21+0.50
Spain19+0.30
United Kingdom49+0.51

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 = +0.563 after dropping 0 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
Iceland ISL2.190.5652024, 2025
Finland FIN2.040.5972024, 2025
Nicaragua NIC1.980.0982024, 2025
Sweden SWE1.790.6352024, 2025
Chile CHL1.720.5742024, 2025
Costa Rica CRI1.70.6062025
Estonia EST1.70.6212024, 2025
Spain ESP1.690.5722024, 2025
New Zealand NZL1.620.5812024, 2025
Australia AUS1.570.6482024, 2025
Norway NOR1.530.6382024, 2025
South Africa ZAF1.450.472024, 2025
Moldova MDA1.450.3892024, 2025
Belgium BEL1.450.6332024, 2025
Namibia NAM1.410.3492024, 2025

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

Sources

Gender score

Gender score

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

The average of 5 measures from 3 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: Women's political empowerment, Women ministers, Women in parliament, Women in management, Married by 18.

Participatory democracy

Participatory democracy index

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

Electoral democracy plus direct participation: people's involvement in civic groups, referendums, and elected local and regional government.

How this was computed

Data used: most recent value in 2010-2025; values come from 2018–2025. 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 Gender score and Participatory democracy

This page shows that two measures go together. It does not show that Gender score changes Participatory democracy, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Gender score or Participatory democracy