placestats

Inequality-adjusted HDI vs. Liberal democracy

Fades after adjusting for income

Across 155 countries, Inequality-adjusted HDI and Liberal democracy rise and fall together at r = +0.61 (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 = 0.43, 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. Caution: direction is not consistent across regions.

Comparing countries across the middle half of inequality-adjusted hdi, 0.421 to 0.783 points, liberal democracy is better by 0.285 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.194 points.

Link before adjusting (r)+0.612p = 2.8e-17 · 155 countries
After adjusting for national income+0.168p = 0.037 · likely range [+0.01, +0.32]
p, allowing for regions0.224standard error 0.124 · 7 regions
Check for luck (q)0.428across 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.

Inequality-adjusted HDI · index, 0 to 1link with income +0.94 · 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

Inequality-adjusted HDI · index, 0 to 1 →Liberal democracy · index (0-1) →0.2290.9230.0150.884Afghanistan: 0.321 index, 0 to 1, 0.018 index (0-1)Angola: 0.36 index, 0 to 1, 0.163 index (0-1)Albania: 0.705 index, 0 to 1, 0.382 index (0-1)United Arab Emirates: 0.866 index, 0 to 1, 0.077 index (0-1)Argentina: 0.761 index, 0 to 1, 0.524 index (0-1)Armenia: 0.743 index, 0 to 1, 0.371 index (0-1)Australia: 0.873 index, 0 to 1, 0.793 index (0-1)Austria: 0.861 index, 0 to 1, 0.757 index (0-1)Azerbaijan: 0.735 index, 0 to 1, 0.053 index (0-1)Burundi: 0.286 index, 0 to 1, 0.06 index (0-1)Belgium: 0.891 index, 0 to 1, 0.794 index (0-1)Benin: 0.316 index, 0 to 1, 0.323 index (0-1)Burkina Faso: 0.273 index, 0 to 1, 0.103 index (0-1)Bangladesh: 0.482 index, 0 to 1, 0.116 index (0-1)Bulgaria: 0.748 index, 0 to 1, 0.499 index (0-1)Bosnia and Herzegovina: 0.689 index, 0 to 1, 0.339 index (0-1)Belarus: 0.771 index, 0 to 1, 0.038 index (0-1)Bolivia: 0.578 index, 0 to 1, 0.352 index (0-1)Brazil: 0.594 index, 0 to 1, 0.704 index (0-1)Barbados: 0.62 index, 0 to 1, 0.679 index (0-1)Bhutan: 0.478 index, 0 to 1, 0.457 index (0-1)Botswana: 0.509 index, 0 to 1, 0.52 index (0-1)Central African Republic: 0.253 index, 0 to 1, 0.102 index (0-1)Canada: 0.867 index, 0 to 1, 0.736 index (0-1)Switzerland: 0.894 index, 0 to 1, 0.843 index (0-1)Chile: 0.723 index, 0 to 1, 0.781 index (0-1)China: 0.67 index, 0 to 1, 0.039 index (0-1)Cote d'Ivoire: 0.35 index, 0 to 1, 0.228 index (0-1)Cameroon: 0.361 index, 0 to 1, 0.114 index (0-1)Congo, Dem. Rep.: 0.341 index, 0 to 1, 0.115 index (0-1)Congo, Rep.: 0.426 index, 0 to 1, 0.115 index (0-1)Colombia: 0.593 index, 0 to 1, 0.555 index (0-1)Comoros: 0.356 index, 0 to 1, 0.132 index (0-1)Cabo Verde: 0.478 index, 0 to 1, 0.631 index (0-1)Costa Rica: 0.678 index, 0 to 1, 0.809 index (0-1)Cyprus: 0.841 index, 0 to 1, 0.664 index (0-1)Czechia: 0.867 index, 0 to 1, 0.794 index (0-1)Germany: 0.89 index, 0 to 1, 0.782 index (0-1)Djibouti: 0.341 index, 0 to 1, 0.118 index (0-1)Denmark: 0.909 index, 0 to 1, 0.884 index (0-1)Dominican Republic: 0.634 index, 0 to 1, 0.505 index (0-1)Algeria: 0.601 index, 0 to 1, 0.126 index (0-1)Ecuador: 0.64 index, 0 to 1, 0.386 index (0-1)Egypt, Arab Rep.: 0.582 index, 0 to 1, 0.115 index (0-1)Spain: 0.819 index, 0 to 1, 0.741 index (0-1)Estonia: 0.841 index, 0 to 1, 0.837 index (0-1)Ethiopia: 0.326 index, 0 to 1, 0.1 index (0-1)Finland: 0.891 index, 0 to 1, 0.808 index (0-1)Fiji: 0.626 index, 0 to 1, 0.398 index (0-1)France: 0.836 index, 0 to 1, 0.8 index (0-1)Gabon: 0.558 index, 0 to 1, 0.178 index (0-1)United Kingdom: 0.869 index, 0 to 1, 0.689 index (0-1)Georgia: 0.754 index, 0 to 1, 0.275 index (0-1)Ghana: 0.399 index, 0 to 1, 0.606 index (0-1)Guinea: 0.302 index, 0 to 1, 0.095 index (0-1)Gambia, The: 0.329 index, 0 to 1, 0.522 index (0-1)Guinea-Bissau: 0.331 index, 0 to 1, 0.095 index (0-1)Greece: 0.825 index, 0 to 1, 0.568 index (0-1)Guatemala: 0.479 index, 0 to 1, 0.523 index (0-1)Hong Kong SAR, China: 0.839 index, 0 to 1, 0.142 index (0-1)Honduras: 0.496 index, 0 to 1, 0.38 index (0-1)Croatia: 0.828 index, 0 to 1, 0.593 index (0-1)Haiti: 0.337 index, 0 to 1, 0.098 index (0-1)Hungary: 0.819 index, 0 to 1, 0.315 index (0-1)Indonesia: 0.608 index, 0 to 1, 0.296 index (0-1)India: 0.475 index, 0 to 1, 0.26 index (0-1)Ireland: 0.886 index, 0 to 1, 0.822 index (0-1)Iran, Islamic Rep.: 0.643 index, 0 to 1, 0.103 index (0-1)Iraq: 0.534 index, 0 to 1, 0.22 index (0-1)Iceland: 0.923 index, 0 to 1, 0.72 index (0-1)Israel: 0.813 index, 0 to 1, 0.588 index (0-1)Italy: 0.817 index, 0 to 1, 0.642 index (0-1)Jamaica: 0.59 index, 0 to 1, 0.679 index (0-1)Jordan: 0.637 index, 0 to 1, 0.274 index (0-1)Japan: 0.845 index, 0 to 1, 0.734 index (0-1)Kazakhstan: 0.766 index, 0 to 1, 0.131 index (0-1)Kenya: 0.456 index, 0 to 1, 0.446 index (0-1)Kyrgyz Republic: 0.649 index, 0 to 1, 0.178 index (0-1)Cambodia: 0.444 index, 0 to 1, 0.051 index (0-1)Korea, Rep.: 0.857 index, 0 to 1, 0.739 index (0-1)Lao PDR: 0.462 index, 0 to 1, 0.11 index (0-1)Liberia: 0.326 index, 0 to 1, 0.417 index (0-1)Sri Lanka: 0.63 index, 0 to 1, 0.613 index (0-1)Lesotho: 0.357 index, 0 to 1, 0.512 index (0-1)Lithuania: 0.812 index, 0 to 1, 0.712 index (0-1)Luxembourg: 0.838 index, 0 to 1, 0.777 index (0-1)Latvia: 0.812 index, 0 to 1, 0.751 index (0-1)Morocco: 0.517 index, 0 to 1, 0.251 index (0-1)Moldova: 0.719 index, 0 to 1, 0.449 index (0-1)Madagascar: 0.319 index, 0 to 1, 0.187 index (0-1)Maldives: 0.602 index, 0 to 1, 0.416 index (0-1)Mexico: 0.646 index, 0 to 1, 0.221 index (0-1)North Macedonia: 0.723 index, 0 to 1, 0.374 index (0-1)Mali: 0.281 index, 0 to 1, 0.15 index (0-1)Malta: 0.843 index, 0 to 1, 0.621 index (0-1)Myanmar: 0.477 index, 0 to 1, 0.015 index (0-1)Montenegro: 0.771 index, 0 to 1, 0.5 index (0-1)Mongolia: 0.647 index, 0 to 1, 0.424 index (0-1)Mozambique: 0.297 index, 0 to 1, 0.175 index (0-1)Mauritania: 0.374 index, 0 to 1, 0.127 index (0-1)Mauritius: 0.669 index, 0 to 1, 0.639 index (0-1)Malawi: 0.365 index, 0 to 1, 0.462 index (0-1)Malaysia: 0.707 index, 0 to 1, 0.355 index (0-1)Namibia: 0.438 index, 0 to 1, 0.519 index (0-1)Niger: 0.265 index, 0 to 1, 0.177 index (0-1)Nigeria: 0.379 index, 0 to 1, 0.311 index (0-1)Nicaragua: 0.535 index, 0 to 1, 0.019 index (0-1)Netherlands: 0.892 index, 0 to 1, 0.774 index (0-1)Norway: 0.909 index, 0 to 1, 0.847 index (0-1)Nepal: 0.437 index, 0 to 1, 0.505 index (0-1)New Zealand: 0.853 index, 0 to 1, 0.787 index (0-1)Oman: 0.75 index, 0 to 1, 0.14 index (0-1)Pakistan: 0.364 index, 0 to 1, 0.176 index (0-1)Panama: 0.664 index, 0 to 1, 0.575 index (0-1)Peru: 0.633 index, 0 to 1, 0.506 index (0-1)Philippines: 0.597 index, 0 to 1, 0.291 index (0-1)Papua New Guinea: 0.423 index, 0 to 1, 0.384 index (0-1)Poland: 0.817 index, 0 to 1, 0.645 index (0-1)Portugal: 0.795 index, 0 to 1, 0.717 index (0-1)Paraguay: 0.599 index, 0 to 1, 0.376 index (0-1)Romania: 0.758 index, 0 to 1, 0.464 index (0-1)Russian Federation: 0.758 index, 0 to 1, 0.056 index (0-1)Rwanda: 0.399 index, 0 to 1, 0.09 index (0-1)Sudan: 0.328 index, 0 to 1, 0.034 index (0-1)Senegal: 0.34 index, 0 to 1, 0.484 index (0-1)Singapore: 0.823 index, 0 to 1, 0.36 index (0-1)Solomon Islands: 0.483 index, 0 to 1, 0.539 index (0-1)Sierra Leone: 0.281 index, 0 to 1, 0.348 index (0-1)El Salvador: 0.555 index, 0 to 1, 0.09 index (0-1)Somalia, Fed. Rep.: 0.229 index, 0 to 1, 0.128 index (0-1)Serbia: 0.772 index, 0 to 1, 0.208 index (0-1)Sao Tome and Principe: 0.478 index, 0 to 1, 0.519 index (0-1)Slovak Republic: 0.833 index, 0 to 1, 0.573 index (0-1)Slovenia: 0.885 index, 0 to 1, 0.589 index (0-1)Sweden: 0.886 index, 0 to 1, 0.853 index (0-1)Eswatini: 0.431 index, 0 to 1, 0.097 index (0-1)Seychelles: 0.755 index, 0 to 1, 0.68 index (0-1)Syrian Arab Republic: 0.419 index, 0 to 1, 0.054 index (0-1)Chad: 0.252 index, 0 to 1, 0.062 index (0-1)Togo: 0.363 index, 0 to 1, 0.157 index (0-1)Thailand: 0.677 index, 0 to 1, 0.314 index (0-1)Tajikistan: 0.594 index, 0 to 1, 0.043 index (0-1)Timor-Leste: 0.451 index, 0 to 1, 0.549 index (0-1)Tunisia: 0.595 index, 0 to 1, 0.265 index (0-1)Turkiye: 0.708 index, 0 to 1, 0.11 index (0-1)Tanzania: 0.391 index, 0 to 1, 0.297 index (0-1)Uganda: 0.4 index, 0 to 1, 0.165 index (0-1)Ukraine: 0.715 index, 0 to 1, 0.24 index (0-1)Uruguay: 0.747 index, 0 to 1, 0.79 index (0-1)United States: 0.832 index, 0 to 1, 0.571 index (0-1)Viet Nam: 0.641 index, 0 to 1, 0.102 index (0-1)Vanuatu: 0.521 index, 0 to 1, 0.623 index (0-1)South Africa: 0.476 index, 0 to 1, 0.633 index (0-1)Zambia: 0.361 index, 0 to 1, 0.375 index (0-1)Zimbabwe: 0.406 index, 0 to 1, 0.147 index (0-1)AREBLRCAFCHEDNKGHAGMBHKGLSONORSOMTCD

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.6122.8e-17155
By rank (Spearman), not adjusted+0.6103.6e-17155
Standard (Pearson), adjusted for national income+0.1680.037155
By rank (Spearman), adjusted for national income+0.1290.111155

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 155 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: +0.444 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.141 (without SLB) to +0.190 (without TJK). 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: SLB (-0.027).

Fragile: this link may not hold up.
  • direction is not consistent across regions

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+0.71
Europe & Central Asia46+0.53
Latin America & Caribbean20-0.05
Middle East, North Africa, Afghanistan & Pakistan15+0.10
Sub-Saharan Africa45+0.33

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 third52+0.17
Middle third51-0.22
Richest third52+0.44

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
Christians95+0.15
Muslims39-0.24

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
France24-0.15
Never a European colony18+0.10
Spain18-0.02
United Kingdom43+0.24

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 = +0.168 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 14years. So a link here can’t come from anything about a country that stays the same, such as its history, geography, institutions or culture.

Within countries over time, there is no link that is clearly more than chance (r = +0.032, comparing each country only with itself over the years, and each year only with the same year elsewhere). Whatever the cross-country picture shows, countries whose inequality-adjusted hdi moved did not tend to see their liberal democracy move with it.

Across countries (adjusted)+0.168for comparison
Within countries-0.142each country vs itself
…and vs the same year elsewhere+0.032q = 0.676 · 156 countries
Year-on-year changes-0.005q = 0.928
Read with care.
  • Almost all of this indicator's variation is between countries, not within them, so the within-country estimate rests on a small part of the data.

2,047 country-years (one country in one year), 156 countries, 2010–2023, about 13 years each on average. Share of the variation that happens within countries over time: 1% for Inequality-adjusted HDI, 4% for Liberal democracy. 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

0.10−0.1-100+10years Liberal democracy trails Inequality-adjusted HDI →lag -10: r = 0.079 (n = 2,047)lag -9: r = 0.060 (n = 2,047)lag -8: r = 0.056 (n = 2,047)lag -7: r = 0.048 (n = 2,047)lag -6: r = 0.037 (n = 2,047)lag -5: r = 0.026 (n = 2,047)lag -4: r = 0.028 (n = 2,047)lag -3: r = 0.023 (n = 2,047)lag -2: r = 0.024 (n = 2,047)lag -1: r = 0.022 (n = 2,047)lag +0: r = 0.032 (n = 2,047)lag +1: r = 0.042 (n = 2,047)lag +2: r = 0.049 (n = 2,047)lag +3: r = 0.061 (n = 1,880)lag +4: r = 0.070 (n = 1,729)lag +5: r = 0.069 (n = 1,577)lag +6: r = 0.059 (n = 1,417)lag +7: r = 0.052 (n = 1,247)lag +8: r = 0.032 (n = 1,086)lag +9: r = 0.020 (n = 929)lag +10: r = -0.018 (n = 752)

Same year (lag 0): +0.032. 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.

This curve peaks at the edge of the window (lag -10), so it is still drifting where the search stops. That pattern usually reflects a slow trend left over in the data, not a link with real timing. The peak value should not be read as the “true” link at the right lag.

The data


index, 0 to 1

index (0-1)
Years
Iceland ISL0.9230.722023, 2025
Norway NOR0.9090.8472023, 2025
Denmark DNK0.9090.8842023, 2025
Switzerland CHE0.8940.8432023, 2025
Netherlands NLD0.8920.7742023, 2025
Finland FIN0.8910.8082023, 2025
Belgium BEL0.8910.7942023, 2025
Germany DEU0.890.7822023, 2025
Sweden SWE0.8860.8532023, 2025
Ireland IRL0.8860.8222023, 2025
Slovenia SVN0.8850.5892023, 2025
Australia AUS0.8730.7932023, 2025
United Kingdom GBR0.8690.6892023, 2025
Czechia CZE0.8670.7942023, 2025
Canada CAN0.8670.7362023, 2025

United Nations Development Programme, Human Development Report 2025
Coppedge, M. et al., V-Dem Dataset, Varieties of Democracy (V-Dem) Project

Sources

Inequality-adjusted HDI

Inequality-adjusted Human Development Index

United Nations Development Programme, Human Development Report Office · via Our World in Data · CC BY 3.0 IGO · updated annual · comparable from 2010 only

The HDI marked down for how unequally each of its three parts is spread within the country. The gap between this and the HDI is what inequality costs, and that is the number worth reading. The level itself is the HDI again, with its parts flagged the same way.

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 2015–2025. 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 Inequality-adjusted HDI and Liberal democracy

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

More links with Inequality-adjusted HDI or Liberal democracy