placestats

Education score vs. Liberal democracy

Fades after adjusting for income

Across 165 countries, Education score and Liberal democracy rise and fall together at r = +0.52 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.17, which could easily be chance (q = 0.49, allowing for the many pairs tested, and allowing for countries in the same region being alike). So the first figure mostly shows richer countries differing from poorer ones, not a link between these two things.

Comparing countries across the middle half of liberal democracy, 0.128 to 0.621 points, education score is better by 0.656 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.13 typical gaps.

Link before adjusting (r)+0.517p = 1.2e-12 · 165 countries
After adjusting for national income+0.165p = 0.034 · likely range [+0.01, +0.31]
p, allowing for regions0.235standard error 0.125 · 7 regions
Check for luck (q)0.490across 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.

Education score · typical gaps (standard deviations)link with income +0.81 · proxy
Liberal democracy · index (0-1)link with income +0.52 · moderate

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

Every country as a dot

Education score · typical gaps (standard deviations) →Liberal democracy · index (0-1) →-2.11.440.0150.884Afghanistan: -0.557 typical gaps (standard deviations), 0.018 index (0-1)Angola: -0.482 typical gaps (standard deviations), 0.163 index (0-1)Albania: 0.923 typical gaps (standard deviations), 0.382 index (0-1)United Arab Emirates: 0.911 typical gaps (standard deviations), 0.077 index (0-1)Argentina: 1.03 typical gaps (standard deviations), 0.524 index (0-1)Armenia: 0.65 typical gaps (standard deviations), 0.371 index (0-1)Australia: 1.03 typical gaps (standard deviations), 0.793 index (0-1)Austria: 1 typical gaps (standard deviations), 0.757 index (0-1)Azerbaijan: 0.629 typical gaps (standard deviations), 0.053 index (0-1)Burundi: -0.587 typical gaps (standard deviations), 0.06 index (0-1)Belgium: 1.25 typical gaps (standard deviations), 0.794 index (0-1)Benin: -0.586 typical gaps (standard deviations), 0.323 index (0-1)Burkina Faso: -0.582 typical gaps (standard deviations), 0.103 index (0-1)Bangladesh: 0.335 typical gaps (standard deviations), 0.116 index (0-1)Bulgaria: 0.794 typical gaps (standard deviations), 0.499 index (0-1)Bahrain: 0.537 typical gaps (standard deviations), 0.062 index (0-1)Bosnia and Herzegovina: 0.607 typical gaps (standard deviations), 0.339 index (0-1)Belarus: 0.722 typical gaps (standard deviations), 0.038 index (0-1)Bolivia: 0.634 typical gaps (standard deviations), 0.352 index (0-1)Brazil: 0.731 typical gaps (standard deviations), 0.704 index (0-1)Barbados: 0.581 typical gaps (standard deviations), 0.679 index (0-1)Bhutan: 0.277 typical gaps (standard deviations), 0.457 index (0-1)Botswana: 0.469 typical gaps (standard deviations), 0.52 index (0-1)Central African Republic: -1.65 typical gaps (standard deviations), 0.102 index (0-1)Canada: 1.06 typical gaps (standard deviations), 0.736 index (0-1)Switzerland: 0.92 typical gaps (standard deviations), 0.843 index (0-1)Chile: 0.979 typical gaps (standard deviations), 0.781 index (0-1)China: 0.674 typical gaps (standard deviations), 0.039 index (0-1)Cote d'Ivoire: -0.0434 typical gaps (standard deviations), 0.228 index (0-1)Cameroon: -0.125 typical gaps (standard deviations), 0.114 index (0-1)Congo, Dem. Rep.: -0.251 typical gaps (standard deviations), 0.115 index (0-1)Congo, Rep.: 0.119 typical gaps (standard deviations), 0.115 index (0-1)Colombia: 0.63 typical gaps (standard deviations), 0.555 index (0-1)Comoros: 0.00771 typical gaps (standard deviations), 0.132 index (0-1)Cabo Verde: -0.216 typical gaps (standard deviations), 0.631 index (0-1)Costa Rica: 0.629 typical gaps (standard deviations), 0.809 index (0-1)Cyprus: 1.02 typical gaps (standard deviations), 0.664 index (0-1)Czechia: 1.08 typical gaps (standard deviations), 0.794 index (0-1)Germany: 0.938 typical gaps (standard deviations), 0.782 index (0-1)Djibouti: -0.825 typical gaps (standard deviations), 0.118 index (0-1)Denmark: 0.941 typical gaps (standard deviations), 0.884 index (0-1)Dominican Republic: 0.651 typical gaps (standard deviations), 0.505 index (0-1)Algeria: 0.663 typical gaps (standard deviations), 0.126 index (0-1)Ecuador: 0.722 typical gaps (standard deviations), 0.386 index (0-1)Egypt, Arab Rep.: 0.489 typical gaps (standard deviations), 0.115 index (0-1)Spain: 0.983 typical gaps (standard deviations), 0.741 index (0-1)Estonia: 0.841 typical gaps (standard deviations), 0.837 index (0-1)Ethiopia: -0.777 typical gaps (standard deviations), 0.1 index (0-1)Finland: 1.02 typical gaps (standard deviations), 0.808 index (0-1)Fiji: 0.887 typical gaps (standard deviations), 0.398 index (0-1)France: 0.907 typical gaps (standard deviations), 0.8 index (0-1)Gabon: -0.00264 typical gaps (standard deviations), 0.178 index (0-1)United Kingdom: 1.19 typical gaps (standard deviations), 0.689 index (0-1)Georgia: 0.697 typical gaps (standard deviations), 0.275 index (0-1)Ghana: 0.168 typical gaps (standard deviations), 0.606 index (0-1)Guinea: -0.598 typical gaps (standard deviations), 0.095 index (0-1)Gambia, The: -0.345 typical gaps (standard deviations), 0.522 index (0-1)Guinea-Bissau: -1.3 typical gaps (standard deviations), 0.095 index (0-1)Equatorial Guinea: -0.759 typical gaps (standard deviations), 0.047 index (0-1)Greece: 1.31 typical gaps (standard deviations), 0.568 index (0-1)Guatemala: 0.22 typical gaps (standard deviations), 0.523 index (0-1)Guyana: 0.39 typical gaps (standard deviations), 0.328 index (0-1)Hong Kong SAR, China: 1.34 typical gaps (standard deviations), 0.142 index (0-1)Honduras: 0.0516 typical gaps (standard deviations), 0.38 index (0-1)Croatia: 0.985 typical gaps (standard deviations), 0.593 index (0-1)Hungary: 0.83 typical gaps (standard deviations), 0.315 index (0-1)Indonesia: 0.591 typical gaps (standard deviations), 0.296 index (0-1)India: 0.605 typical gaps (standard deviations), 0.26 index (0-1)Ireland: 1.18 typical gaps (standard deviations), 0.822 index (0-1)Iran, Islamic Rep.: 0.667 typical gaps (standard deviations), 0.103 index (0-1)Iraq: -0.133 typical gaps (standard deviations), 0.22 index (0-1)Iceland: 1.26 typical gaps (standard deviations), 0.72 index (0-1)Israel: 0.804 typical gaps (standard deviations), 0.588 index (0-1)Italy: 0.94 typical gaps (standard deviations), 0.642 index (0-1)Jamaica: 0.446 typical gaps (standard deviations), 0.679 index (0-1)Jordan: 0.68 typical gaps (standard deviations), 0.274 index (0-1)Japan: 1.04 typical gaps (standard deviations), 0.734 index (0-1)Kazakhstan: 0.74 typical gaps (standard deviations), 0.131 index (0-1)Kenya: 0.0734 typical gaps (standard deviations), 0.446 index (0-1)Kyrgyz Republic: 0.764 typical gaps (standard deviations), 0.178 index (0-1)Cambodia: 0.174 typical gaps (standard deviations), 0.051 index (0-1)Korea, Rep.: 1.03 typical gaps (standard deviations), 0.739 index (0-1)Kuwait: 0.25 typical gaps (standard deviations), 0.127 index (0-1)Lao PDR: -0.35 typical gaps (standard deviations), 0.11 index (0-1)Lebanon: 0.088 typical gaps (standard deviations), 0.267 index (0-1)Liberia: -1.22 typical gaps (standard deviations), 0.417 index (0-1)Sri Lanka: 0.421 typical gaps (standard deviations), 0.613 index (0-1)Lesotho: -0.337 typical gaps (standard deviations), 0.512 index (0-1)Lithuania: 0.928 typical gaps (standard deviations), 0.712 index (0-1)Luxembourg: 0.66 typical gaps (standard deviations), 0.777 index (0-1)Latvia: 0.923 typical gaps (standard deviations), 0.751 index (0-1)Morocco: 0.345 typical gaps (standard deviations), 0.251 index (0-1)Moldova: 0.734 typical gaps (standard deviations), 0.449 index (0-1)Madagascar: -0.569 typical gaps (standard deviations), 0.187 index (0-1)Maldives: 0.427 typical gaps (standard deviations), 0.416 index (0-1)Mexico: 0.636 typical gaps (standard deviations), 0.221 index (0-1)North Macedonia: 0.658 typical gaps (standard deviations), 0.374 index (0-1)Mali: -1.24 typical gaps (standard deviations), 0.15 index (0-1)Malta: 0.945 typical gaps (standard deviations), 0.621 index (0-1)Myanmar: -0.0676 typical gaps (standard deviations), 0.015 index (0-1)Montenegro: 0.943 typical gaps (standard deviations), 0.5 index (0-1)Mongolia: 0.749 typical gaps (standard deviations), 0.424 index (0-1)Mozambique: -0.56 typical gaps (standard deviations), 0.175 index (0-1)Mauritania: -0.911 typical gaps (standard deviations), 0.127 index (0-1)Mauritius: 0.621 typical gaps (standard deviations), 0.639 index (0-1)Malawi: -0.546 typical gaps (standard deviations), 0.462 index (0-1)Malaysia: 0.529 typical gaps (standard deviations), 0.355 index (0-1)Namibia: 0.228 typical gaps (standard deviations), 0.519 index (0-1)Niger: -1.04 typical gaps (standard deviations), 0.177 index (0-1)Nigeria: -0.241 typical gaps (standard deviations), 0.311 index (0-1)Nicaragua: 0.168 typical gaps (standard deviations), 0.019 index (0-1)Netherlands: 1.27 typical gaps (standard deviations), 0.774 index (0-1)Norway: 1 typical gaps (standard deviations), 0.847 index (0-1)Nepal: 0.452 typical gaps (standard deviations), 0.505 index (0-1)New Zealand: 1.44 typical gaps (standard deviations), 0.787 index (0-1)Oman: 0.293 typical gaps (standard deviations), 0.14 index (0-1)Pakistan: -0.556 typical gaps (standard deviations), 0.176 index (0-1)Panama: 0.393 typical gaps (standard deviations), 0.575 index (0-1)Peru: 0.773 typical gaps (standard deviations), 0.506 index (0-1)Philippines: 0.548 typical gaps (standard deviations), 0.291 index (0-1)Papua New Guinea: -0.297 typical gaps (standard deviations), 0.384 index (0-1)Poland: 0.952 typical gaps (standard deviations), 0.645 index (0-1)Portugal: 1.02 typical gaps (standard deviations), 0.717 index (0-1)Paraguay: 0.452 typical gaps (standard deviations), 0.376 index (0-1)Qatar: 0.734 typical gaps (standard deviations), 0.091 index (0-1)Romania: 0.584 typical gaps (standard deviations), 0.464 index (0-1)Russian Federation: 0.85 typical gaps (standard deviations), 0.056 index (0-1)Rwanda: -0.127 typical gaps (standard deviations), 0.09 index (0-1)Saudi Arabia: 0.8 typical gaps (standard deviations), 0.047 index (0-1)Sudan: -0.831 typical gaps (standard deviations), 0.034 index (0-1)Senegal: -0.815 typical gaps (standard deviations), 0.484 index (0-1)Singapore: 1.26 typical gaps (standard deviations), 0.36 index (0-1)Solomon Islands: -0.0603 typical gaps (standard deviations), 0.539 index (0-1)Sierra Leone: -0.279 typical gaps (standard deviations), 0.348 index (0-1)El Salvador: 0.37 typical gaps (standard deviations), 0.09 index (0-1)Somalia, Fed. Rep.: -2.1 typical gaps (standard deviations), 0.128 index (0-1)Serbia: 0.761 typical gaps (standard deviations), 0.208 index (0-1)Sao Tome and Principe: 0.172 typical gaps (standard deviations), 0.519 index (0-1)Suriname: -0.157 typical gaps (standard deviations), 0.626 index (0-1)Slovak Republic: 0.801 typical gaps (standard deviations), 0.573 index (0-1)Slovenia: 1.18 typical gaps (standard deviations), 0.589 index (0-1)Sweden: 0.968 typical gaps (standard deviations), 0.853 index (0-1)Eswatini: 0.404 typical gaps (standard deviations), 0.097 index (0-1)Seychelles: 0.782 typical gaps (standard deviations), 0.68 index (0-1)Syrian Arab Republic: -0.332 typical gaps (standard deviations), 0.054 index (0-1)Chad: -1.2 typical gaps (standard deviations), 0.062 index (0-1)Togo: 0.075 typical gaps (standard deviations), 0.157 index (0-1)Thailand: 0.764 typical gaps (standard deviations), 0.314 index (0-1)Tajikistan: 0.525 typical gaps (standard deviations), 0.043 index (0-1)Turkmenistan: 0.598 typical gaps (standard deviations), 0.034 index (0-1)Timor-Leste: 0.12 typical gaps (standard deviations), 0.549 index (0-1)Trinidad and Tobago: 0.581 typical gaps (standard deviations), 0.668 index (0-1)Tunisia: 0.496 typical gaps (standard deviations), 0.265 index (0-1)Turkiye: 1.03 typical gaps (standard deviations), 0.11 index (0-1)Tanzania: -0.351 typical gaps (standard deviations), 0.297 index (0-1)Uganda: -0.832 typical gaps (standard deviations), 0.165 index (0-1)Ukraine: 0.784 typical gaps (standard deviations), 0.24 index (0-1)Uruguay: 0.9 typical gaps (standard deviations), 0.79 index (0-1)United States: 1.11 typical gaps (standard deviations), 0.571 index (0-1)Uzbekistan: 0.848 typical gaps (standard deviations), 0.079 index (0-1)Viet Nam: 0.537 typical gaps (standard deviations), 0.102 index (0-1)Vanuatu: 0.198 typical gaps (standard deviations), 0.623 index (0-1)South Africa: 0.665 typical gaps (standard deviations), 0.633 index (0-1)Zambia: -0.123 typical gaps (standard deviations), 0.375 index (0-1)Zimbabwe: 0.181 typical gaps (standard deviations), 0.147 index (0-1)AREBELCAFGNBHKGIRLLBRNZLSENSOMTUR

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.5171.2e-12165
By rank (Spearman), not adjusted+0.5473.0e-14165
Standard (Pearson), adjusted for national income+0.1650.034165
By rank (Spearman), adjusted for national income+0.2360.002165

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 165 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: +0.352 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.143 (without GNQ) to +0.181 (without UZB). 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: GNQ (-0.023).

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+0.39
Europe & Central Asia48+0.31
Latin America & Caribbean22+0.25
Middle East, North Africa, Afghanistan & Pakistan20+0.28
Sub-Saharan Africa46+0.29

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 third55+0.25
Middle third55+0.00
Richest third55+0.42

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
Christians98+0.15
Muslims46+0.09

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
France24-0.10
Never a European colony21+0.02
Spain19+0.43
United Kingdom48+0.44

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 = +0.179 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
New Zealand NZL1.440.7872023, 2025
Hong Kong SAR, China HKG1.340.1422024, 2025
Greece GRC1.310.5682023, 2025
Netherlands NLD1.270.7742023, 2025
Iceland ISL1.260.722023, 2025
Singapore SGP1.260.362023, 2025
Belgium BEL1.250.7942023, 2025
United Kingdom GBR1.190.6892023, 2025
Ireland IRL1.180.8222022, 2025
Slovenia SVN1.180.5892023, 2025
United States USA1.110.5712022, 2025
Czechia CZE1.080.7942023, 2025
Canada CAN1.060.7362023, 2025
Japan JPN1.040.7342023, 2025
Argentina ARG1.030.5242023, 2025

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

Sources

Education score

Education score

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

The average of 10 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: Primary completion, Expected schooling, Mean years of schooling, Adult literacy, Pupil-teacher ratio, Primary enrollment, Out of school, primary, Secondary enrollment, Tertiary enrollment, Researchers.

Liberal democracy

Liberal democracy index

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

Electoral democracy plus limits on the head of government, independent courts and protected personal freedoms. It contains the electoral democracy index as a part, so the two are built from the same numbers and bound to match.

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 Education score and Liberal democracy

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

More links with Education score or Liberal democracy