placestats

Equality score vs. Participatory democracy

Holds up after adjusting for income

Across 152 countries, Equality score and Participatory democracy rise and fall together at r = +0.26 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) flips the link to -0.22 (q = 0.0034, allowing for the many pairs tested). The first figure pointed the other way only as richer and poorer countries differ.

Comparing countries across the middle half of participatory democracy, 0.165 to 0.491 points, equality score is better by 0.369 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap reverses, to 0.274 typical gaps the other way.

Link before adjusting (r)+0.263p = 0.001 · 152 countries
After adjusting for national income-0.221p = 0.006 · likely range [-0.37, -0.06]
p, allowing for regions0.106standard error 0.116 · 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.

Equality score · typical gaps (standard deviations)link with income +0.64 · high
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

Equality score · typical gaps (standard deviations) →Participatory democracy · index (0-1) →-2.511.060.0310.785Angola: -1.52 typical gaps (standard deviations), 0.103 index (0-1)Albania: 0.741 typical gaps (standard deviations), 0.29 index (0-1)United Arab Emirates: 0.921 typical gaps (standard deviations), 0.031 index (0-1)Argentina: -0.0236 typical gaps (standard deviations), 0.429 index (0-1)Armenia: 0.843 typical gaps (standard deviations), 0.319 index (0-1)Australia: 0.473 typical gaps (standard deviations), 0.648 index (0-1)Austria: 0.632 typical gaps (standard deviations), 0.582 index (0-1)Burundi: -1.63 typical gaps (standard deviations), 0.142 index (0-1)Belgium: 0.895 typical gaps (standard deviations), 0.633 index (0-1)Benin: -0.24 typical gaps (standard deviations), 0.28 index (0-1)Burkina Faso: -0.796 typical gaps (standard deviations), 0.104 index (0-1)Bangladesh: 0.51 typical gaps (standard deviations), 0.099 index (0-1)Bulgaria: 0.143 typical gaps (standard deviations), 0.397 index (0-1)Bosnia and Herzegovina: 0.689 typical gaps (standard deviations), 0.298 index (0-1)Belarus: 1.04 typical gaps (standard deviations), 0.054 index (0-1)Bolivia: 0.0341 typical gaps (standard deviations), 0.414 index (0-1)Brazil: -0.529 typical gaps (standard deviations), 0.528 index (0-1)Barbados: 0.435 typical gaps (standard deviations), 0.347 index (0-1)Bhutan: 0.8 typical gaps (standard deviations), 0.349 index (0-1)Botswana: -1.27 typical gaps (standard deviations), 0.369 index (0-1)Central African Republic: -1.88 typical gaps (standard deviations), 0.13 index (0-1)Canada: 0.62 typical gaps (standard deviations), 0.589 index (0-1)Switzerland: 0.491 typical gaps (standard deviations), 0.785 index (0-1)Chile: -0.0426 typical gaps (standard deviations), 0.574 index (0-1)China: 0.37 typical gaps (standard deviations), 0.036 index (0-1)Cote d'Ivoire: -0.126 typical gaps (standard deviations), 0.262 index (0-1)Cameroon: -0.674 typical gaps (standard deviations), 0.093 index (0-1)Congo, Dem. Rep.: -2.33 typical gaps (standard deviations), 0.2 index (0-1)Congo, Rep.: -1.38 typical gaps (standard deviations), 0.188 index (0-1)Colombia: -0.906 typical gaps (standard deviations), 0.467 index (0-1)Comoros: 0.565 typical gaps (standard deviations), 0.2 index (0-1)Cabo Verde: -0.374 typical gaps (standard deviations), 0.458 index (0-1)Costa Rica: -0.196 typical gaps (standard deviations), 0.606 index (0-1)Cyprus: 0.611 typical gaps (standard deviations), 0.49 index (0-1)Czechia: 0.961 typical gaps (standard deviations), 0.562 index (0-1)Germany: 0.484 typical gaps (standard deviations), 0.593 index (0-1)Djibouti: -0.607 typical gaps (standard deviations), 0.142 index (0-1)Denmark: 0.709 typical gaps (standard deviations), 0.7 index (0-1)Dominican Republic: 0.177 typical gaps (standard deviations), 0.475 index (0-1)Algeria: 0.852 typical gaps (standard deviations), 0.095 index (0-1)Ecuador: -0.286 typical gaps (standard deviations), 0.462 index (0-1)Egypt, Arab Rep.: 0.764 typical gaps (standard deviations), 0.076 index (0-1)Spain: 0.498 typical gaps (standard deviations), 0.572 index (0-1)Estonia: 0.666 typical gaps (standard deviations), 0.621 index (0-1)Ethiopia: -0.344 typical gaps (standard deviations), 0.128 index (0-1)Finland: 0.858 typical gaps (standard deviations), 0.597 index (0-1)Fiji: 0.553 typical gaps (standard deviations), 0.265 index (0-1)France: 0.608 typical gaps (standard deviations), 0.597 index (0-1)Gabon: 0.157 typical gaps (standard deviations), 0.24 index (0-1)United Kingdom: 0.566 typical gaps (standard deviations), 0.533 index (0-1)Georgia: 0.382 typical gaps (standard deviations), 0.236 index (0-1)Ghana: -1.07 typical gaps (standard deviations), 0.361 index (0-1)Guinea: 0.435 typical gaps (standard deviations), 0.12 index (0-1)Gambia, The: -0.358 typical gaps (standard deviations), 0.406 index (0-1)Guinea-Bissau: -0.509 typical gaps (standard deviations), 0.128 index (0-1)Equatorial Guinea: -0.000739 typical gaps (standard deviations), 0.041 index (0-1)Greece: 0.503 typical gaps (standard deviations), 0.493 index (0-1)Guatemala: -0.409 typical gaps (standard deviations), 0.421 index (0-1)Honduras: -0.592 typical gaps (standard deviations), 0.32 index (0-1)Croatia: 0.701 typical gaps (standard deviations), 0.459 index (0-1)Haiti: -0.964 typical gaps (standard deviations), 0.119 index (0-1)Hungary: 0.656 typical gaps (standard deviations), 0.268 index (0-1)Indonesia: 0.358 typical gaps (standard deviations), 0.298 index (0-1)India: 0.836 typical gaps (standard deviations), 0.246 index (0-1)Ireland: 0.769 typical gaps (standard deviations), 0.619 index (0-1)Iran, Islamic Rep.: 0.311 typical gaps (standard deviations), 0.042 index (0-1)Iraq: 0.713 typical gaps (standard deviations), 0.224 index (0-1)Iceland: 0.895 typical gaps (standard deviations), 0.565 index (0-1)Israel: 0.227 typical gaps (standard deviations), 0.455 index (0-1)Italy: 0.444 typical gaps (standard deviations), 0.569 index (0-1)Jamaica: 0.11 typical gaps (standard deviations), 0.524 index (0-1)Jordan: 0.499 typical gaps (standard deviations), 0.132 index (0-1)Japan: 0.551 typical gaps (standard deviations), 0.526 index (0-1)Kazakhstan: 0.76 typical gaps (standard deviations), 0.107 index (0-1)Kenya: -0.947 typical gaps (standard deviations), 0.335 index (0-1)Kyrgyz Republic: 0.801 typical gaps (standard deviations), 0.163 index (0-1)Korea, Rep.: 0.545 typical gaps (standard deviations), 0.551 index (0-1)Lao PDR: 0.261 typical gaps (standard deviations), 0.118 index (0-1)Lebanon: 0.249 typical gaps (standard deviations), 0.222 index (0-1)Liberia: -0.456 typical gaps (standard deviations), 0.321 index (0-1)Sri Lanka: 0.202 typical gaps (standard deviations), 0.52 index (0-1)Lesotho: -1.22 typical gaps (standard deviations), 0.404 index (0-1)Lithuania: 0.341 typical gaps (standard deviations), 0.56 index (0-1)Luxembourg: 0.505 typical gaps (standard deviations), 0.556 index (0-1)Latvia: 0.474 typical gaps (standard deviations), 0.595 index (0-1)Morocco: 0.0733 typical gaps (standard deviations), 0.151 index (0-1)Moldova: 0.895 typical gaps (standard deviations), 0.389 index (0-1)Madagascar: -1.46 typical gaps (standard deviations), 0.217 index (0-1)Maldives: 0.754 typical gaps (standard deviations), 0.316 index (0-1)Mexico: -0.0506 typical gaps (standard deviations), 0.337 index (0-1)North Macedonia: 0.413 typical gaps (standard deviations), 0.354 index (0-1)Mali: -0.544 typical gaps (standard deviations), 0.164 index (0-1)Malta: 0.6 typical gaps (standard deviations), 0.529 index (0-1)Myanmar: 0.408 typical gaps (standard deviations), 0.041 index (0-1)Montenegro: 0.403 typical gaps (standard deviations), 0.403 index (0-1)Mongolia: 0.623 typical gaps (standard deviations), 0.281 index (0-1)Mozambique: -2.51 typical gaps (standard deviations), 0.201 index (0-1)Mauritania: 0.336 typical gaps (standard deviations), 0.221 index (0-1)Mauritius: 0.311 typical gaps (standard deviations), 0.481 index (0-1)Malawi: -1.72 typical gaps (standard deviations), 0.366 index (0-1)Malaysia: 0.0997 typical gaps (standard deviations), 0.303 index (0-1)Namibia: -1.55 typical gaps (standard deviations), 0.349 index (0-1)Niger: -1.01 typical gaps (standard deviations), 0.189 index (0-1)Nigeria: -0.587 typical gaps (standard deviations), 0.323 index (0-1)Nicaragua: -0.386 typical gaps (standard deviations), 0.098 index (0-1)Netherlands: 0.958 typical gaps (standard deviations), 0.553 index (0-1)Norway: 0.91 typical gaps (standard deviations), 0.638 index (0-1)Nepal: 0.652 typical gaps (standard deviations), 0.435 index (0-1)Pakistan: -0.0796 typical gaps (standard deviations), 0.192 index (0-1)Panama: -0.497 typical gaps (standard deviations), 0.441 index (0-1)Peru: 0.00275 typical gaps (standard deviations), 0.448 index (0-1)Philippines: 0.0435 typical gaps (standard deviations), 0.261 index (0-1)Poland: 0.795 typical gaps (standard deviations), 0.519 index (0-1)Portugal: 0.48 typical gaps (standard deviations), 0.529 index (0-1)Paraguay: -0.155 typical gaps (standard deviations), 0.342 index (0-1)Qatar: 0.421 typical gaps (standard deviations), 0.034 index (0-1)Romania: 0.708 typical gaps (standard deviations), 0.416 index (0-1)Russian Federation: 0.539 typical gaps (standard deviations), 0.124 index (0-1)Rwanda: -0.82 typical gaps (standard deviations), 0.13 index (0-1)Sudan: 0.213 typical gaps (standard deviations), 0.051 index (0-1)Senegal: -0.103 typical gaps (standard deviations), 0.402 index (0-1)Solomon Islands: -0.732 typical gaps (standard deviations), 0.429 index (0-1)Sierra Leone: -0.683 typical gaps (standard deviations), 0.307 index (0-1)El Salvador: 0.0329 typical gaps (standard deviations), 0.159 index (0-1)Serbia: 0.525 typical gaps (standard deviations), 0.217 index (0-1)Sao Tome and Principe: -0.235 typical gaps (standard deviations), 0.391 index (0-1)Suriname: 0.129 typical gaps (standard deviations), 0.509 index (0-1)Slovak Republic: 1.06 typical gaps (standard deviations), 0.508 index (0-1)Slovenia: 1.02 typical gaps (standard deviations), 0.506 index (0-1)Sweden: 0.734 typical gaps (standard deviations), 0.635 index (0-1)Eswatini: -1.85 typical gaps (standard deviations), 0.11 index (0-1)Seychelles: 0.575 typical gaps (standard deviations), 0.341 index (0-1)Syrian Arab Republic: 0.457 typical gaps (standard deviations), 0.058 index (0-1)Chad: -0.729 typical gaps (standard deviations), 0.129 index (0-1)Togo: -0.634 typical gaps (standard deviations), 0.233 index (0-1)Thailand: 0.525 typical gaps (standard deviations), 0.186 index (0-1)Tajikistan: 0.207 typical gaps (standard deviations), 0.059 index (0-1)Timor-Leste: -0.345 typical gaps (standard deviations), 0.462 index (0-1)Tunisia: 0.484 typical gaps (standard deviations), 0.242 index (0-1)Turkiye: -0.0777 typical gaps (standard deviations), 0.165 index (0-1)Tanzania: -1.21 typical gaps (standard deviations), 0.245 index (0-1)Uganda: -1.56 typical gaps (standard deviations), 0.156 index (0-1)Ukraine: 0.967 typical gaps (standard deviations), 0.252 index (0-1)Uruguay: 0.135 typical gaps (standard deviations), 0.716 index (0-1)United States: 0.00824 typical gaps (standard deviations), 0.51 index (0-1)Uzbekistan: 0.5 typical gaps (standard deviations), 0.082 index (0-1)Viet Nam: 0.323 typical gaps (standard deviations), 0.164 index (0-1)Vanuatu: 0.0795 typical gaps (standard deviations), 0.323 index (0-1)Kosovo: -0.0202 typical gaps (standard deviations), 0.346 index (0-1)South Africa: -1.12 typical gaps (standard deviations), 0.47 index (0-1)Zambia: -2.37 typical gaps (standard deviations), 0.348 index (0-1)Zimbabwe: -1.72 typical gaps (standard deviations), 0.202 index (0-1)AREBLRCHECODDNKDZAMOZMWINORSWZZMB

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.2630.001152
By rank (Spearman), not adjusted+0.2530.002152
Standard (Pearson), adjusted for national income-0.2210.006152
By rank (Spearman), adjusted for national income-0.2480.002152

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 152 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: +0.043 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.256 (without SWZ) to -0.207 (without BLR). 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: SWZ (-0.035).

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 & Pacific16-0.52
Europe & Central Asia47+0.04
Latin America & Caribbean21-0.05
Middle East, North Africa, Afghanistan & Pakistan15-0.22
Sub-Saharan Africa45-0.09

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 third51-0.13
Middle third50-0.34
Richest third51-0.08

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
Christians96-0.07
Muslims39-0.22

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
France24-0.04
Never a European colony16+0.10
Spain19-0.18
United Kingdom40-0.23

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 = -0.199 after dropping 4 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
Slovak Republic SVK1.060.5082023, 2025
Belarus BLR1.040.0542020, 2025
Slovenia SVN1.020.5062023, 2025
Ukraine UKR0.9670.2522020, 2025
Czechia CZE0.9610.5622023, 2025
Netherlands NLD0.9580.5532021, 2025
United Arab Emirates ARE0.9210.0312018, 2025
Norway NOR0.910.6382023, 2025
Moldova MDA0.8950.3892023, 2025
Iceland ISL0.8950.5652019, 2025
Belgium BEL0.8950.6332023, 2025
Finland FIN0.8580.5972023, 2025
Algeria DZA0.8520.0952011, 2025
Armenia ARM0.8430.3192024, 2025
India IND0.8360.2462022, 2025

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

Sources

Equality score

Equality score

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

The average of 2 measures from 1 publisher. 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: Extreme poverty rate, Gini index.

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 2010–2025. 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 Equality score and Participatory democracy

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

More links with Equality score or Participatory democracy