placestats

Electoral democracy vs. HDI

Fades after adjusting for income

Across 167 countries, Electoral democracy and HDI 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 +0.28, which could easily be chance (q = 0.11, 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 hdi, 0.617 to 0.874 points, electoral democracy is better by 0.224 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.383 points.

Link before adjusting (r)+0.517p = 8.6e-13 · 167 countries
After adjusting for national income+0.277p = 0.000 · likely range [+0.13, +0.41]
p, allowing for regions0.001standard error 0.046 · 7 regions
Check for luck (q)0.108across 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.

Electoral democracy · index (0-1)link with income +0.49 · moderate
HDI · index, 0 to 1link with income +0.96 · proxy

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

Every country as a dot

Electoral democracy · index (0-1) →HDI · index, 0 to 1 →0.0160.9130.4040.972Afghanistan: 0.069 index (0-1), 0.496 index, 0 to 1Angola: 0.344 index (0-1), 0.616 index, 0 to 1Albania: 0.484 index (0-1), 0.81 index, 0 to 1United Arab Emirates: 0.104 index (0-1), 0.94 index, 0 to 1Argentina: 0.69 index (0-1), 0.865 index, 0 to 1Armenia: 0.614 index (0-1), 0.811 index, 0 to 1Australia: 0.844 index (0-1), 0.958 index, 0 to 1Austria: 0.839 index (0-1), 0.93 index, 0 to 1Azerbaijan: 0.171 index (0-1), 0.789 index, 0 to 1Burundi: 0.185 index (0-1), 0.439 index, 0 to 1Belgium: 0.889 index (0-1), 0.951 index, 0 to 1Benin: 0.493 index (0-1), 0.515 index, 0 to 1Burkina Faso: 0.134 index (0-1), 0.459 index, 0 to 1Bangladesh: 0.195 index (0-1), 0.685 index, 0 to 1Bulgaria: 0.599 index (0-1), 0.845 index, 0 to 1Bahrain: 0.139 index (0-1), 0.899 index, 0 to 1Bosnia and Herzegovina: 0.498 index (0-1), 0.804 index, 0 to 1Belarus: 0.163 index (0-1), 0.824 index, 0 to 1Bolivia: 0.605 index (0-1), 0.733 index, 0 to 1Brazil: 0.784 index (0-1), 0.786 index, 0 to 1Barbados: 0.797 index (0-1), 0.811 index, 0 to 1Bhutan: 0.566 index (0-1), 0.698 index, 0 to 1Botswana: 0.665 index (0-1), 0.731 index, 0 to 1Central African Republic: 0.293 index (0-1), 0.414 index, 0 to 1Canada: 0.84 index (0-1), 0.939 index, 0 to 1Switzerland: 0.882 index (0-1), 0.97 index, 0 to 1Chile: 0.839 index (0-1), 0.878 index, 0 to 1China: 0.072 index (0-1), 0.797 index, 0 to 1Cote d'Ivoire: 0.394 index (0-1), 0.582 index, 0 to 1Cameroon: 0.26 index (0-1), 0.588 index, 0 to 1Congo, Dem. Rep.: 0.306 index (0-1), 0.522 index, 0 to 1Congo, Rep.: 0.243 index (0-1), 0.649 index, 0 to 1Colombia: 0.679 index (0-1), 0.788 index, 0 to 1Comoros: 0.293 index (0-1), 0.603 index, 0 to 1Cabo Verde: 0.745 index (0-1), 0.668 index, 0 to 1Costa Rica: 0.862 index (0-1), 0.833 index, 0 to 1Cyprus: 0.773 index (0-1), 0.913 index, 0 to 1Czechia: 0.849 index (0-1), 0.915 index, 0 to 1Germany: 0.828 index (0-1), 0.959 index, 0 to 1Djibouti: 0.25 index (0-1), 0.513 index, 0 to 1Denmark: 0.913 index (0-1), 0.962 index, 0 to 1Dominican Republic: 0.735 index (0-1), 0.776 index, 0 to 1Algeria: 0.265 index (0-1), 0.763 index, 0 to 1Ecuador: 0.607 index (0-1), 0.777 index, 0 to 1Egypt, Arab Rep.: 0.187 index (0-1), 0.754 index, 0 to 1Spain: 0.822 index (0-1), 0.918 index, 0 to 1Estonia: 0.887 index (0-1), 0.905 index, 0 to 1Ethiopia: 0.257 index (0-1), 0.497 index, 0 to 1Finland: 0.852 index (0-1), 0.948 index, 0 to 1Fiji: 0.507 index (0-1), 0.731 index, 0 to 1France: 0.865 index (0-1), 0.92 index, 0 to 1Gabon: 0.302 index (0-1), 0.733 index, 0 to 1United Kingdom: 0.772 index (0-1), 0.946 index, 0 to 1Georgia: 0.401 index (0-1), 0.844 index, 0 to 1Ghana: 0.711 index (0-1), 0.628 index, 0 to 1Guinea: 0.187 index (0-1), 0.5 index, 0 to 1Gambia, The: 0.641 index (0-1), 0.524 index, 0 to 1Guinea-Bissau: 0.252 index (0-1), 0.514 index, 0 to 1Equatorial Guinea: 0.172 index (0-1), 0.674 index, 0 to 1Greece: 0.741 index (0-1), 0.908 index, 0 to 1Guatemala: 0.637 index (0-1), 0.662 index, 0 to 1Guyana: 0.515 index (0-1), 0.776 index, 0 to 1Hong Kong SAR, China: 0.151 index (0-1), 0.955 index, 0 to 1Honduras: 0.511 index (0-1), 0.645 index, 0 to 1Croatia: 0.686 index (0-1), 0.889 index, 0 to 1Haiti: 0.238 index (0-1), 0.554 index, 0 to 1Hungary: 0.421 index (0-1), 0.87 index, 0 to 1Indonesia: 0.462 index (0-1), 0.728 index, 0 to 1India: 0.377 index (0-1), 0.685 index, 0 to 1Ireland: 0.887 index (0-1), 0.949 index, 0 to 1Iran, Islamic Rep.: 0.159 index (0-1), 0.799 index, 0 to 1Iraq: 0.369 index (0-1), 0.695 index, 0 to 1Iceland: 0.807 index (0-1), 0.972 index, 0 to 1Israel: 0.694 index (0-1), 0.919 index, 0 to 1Italy: 0.745 index (0-1), 0.915 index, 0 to 1Jamaica: 0.805 index (0-1), 0.72 index, 0 to 1Jordan: 0.282 index (0-1), 0.754 index, 0 to 1Japan: 0.819 index (0-1), 0.925 index, 0 to 1Kazakhstan: 0.259 index (0-1), 0.837 index, 0 to 1Kenya: 0.563 index (0-1), 0.628 index, 0 to 1Kyrgyz Republic: 0.313 index (0-1), 0.72 index, 0 to 1Cambodia: 0.183 index (0-1), 0.606 index, 0 to 1Korea, Rep.: 0.819 index (0-1), 0.937 index, 0 to 1Kuwait: 0.138 index (0-1), 0.852 index, 0 to 1Lao PDR: 0.135 index (0-1), 0.617 index, 0 to 1Lebanon: 0.419 index (0-1), 0.752 index, 0 to 1Liberia: 0.597 index (0-1), 0.51 index, 0 to 1Libya: 0.193 index (0-1), 0.721 index, 0 to 1Sri Lanka: 0.783 index (0-1), 0.776 index, 0 to 1Lesotho: 0.661 index (0-1), 0.55 index, 0 to 1Lithuania: 0.786 index (0-1), 0.895 index, 0 to 1Luxembourg: 0.869 index (0-1), 0.922 index, 0 to 1Latvia: 0.834 index (0-1), 0.889 index, 0 to 1Morocco: 0.259 index (0-1), 0.71 index, 0 to 1Moldova: 0.553 index (0-1), 0.785 index, 0 to 1Madagascar: 0.361 index (0-1), 0.487 index, 0 to 1Maldives: 0.556 index (0-1), 0.766 index, 0 to 1Mexico: 0.469 index (0-1), 0.789 index, 0 to 1North Macedonia: 0.562 index (0-1), 0.815 index, 0 to 1Mali: 0.164 index (0-1), 0.419 index, 0 to 1Malta: 0.783 index (0-1), 0.924 index, 0 to 1Myanmar: 0.08 index (0-1), 0.609 index, 0 to 1Montenegro: 0.636 index (0-1), 0.862 index, 0 to 1Mongolia: 0.535 index (0-1), 0.747 index, 0 to 1Mozambique: 0.279 index (0-1), 0.493 index, 0 to 1Mauritania: 0.328 index (0-1), 0.563 index, 0 to 1Mauritius: 0.738 index (0-1), 0.806 index, 0 to 1Malawi: 0.557 index (0-1), 0.517 index, 0 to 1Malaysia: 0.504 index (0-1), 0.819 index, 0 to 1Namibia: 0.633 index (0-1), 0.665 index, 0 to 1Niger: 0.227 index (0-1), 0.419 index, 0 to 1Nigeria: 0.505 index (0-1), 0.56 index, 0 to 1Nicaragua: 0.151 index (0-1), 0.706 index, 0 to 1Netherlands: 0.832 index (0-1), 0.955 index, 0 to 1Norway: 0.89 index (0-1), 0.97 index, 0 to 1Nepal: 0.656 index (0-1), 0.622 index, 0 to 1New Zealand: 0.849 index (0-1), 0.938 index, 0 to 1Oman: 0.175 index (0-1), 0.858 index, 0 to 1Pakistan: 0.302 index (0-1), 0.544 index, 0 to 1Panama: 0.728 index (0-1), 0.839 index, 0 to 1Peru: 0.667 index (0-1), 0.794 index, 0 to 1Philippines: 0.392 index (0-1), 0.72 index, 0 to 1Papua New Guinea: 0.467 index (0-1), 0.576 index, 0 to 1Poland: 0.768 index (0-1), 0.906 index, 0 to 1Portugal: 0.822 index (0-1), 0.89 index, 0 to 1Paraguay: 0.581 index (0-1), 0.756 index, 0 to 1Qatar: 0.034 index (0-1), 0.886 index, 0 to 1Romania: 0.605 index (0-1), 0.845 index, 0 to 1Russian Federation: 0.17 index (0-1), 0.832 index, 0 to 1Rwanda: 0.193 index (0-1), 0.578 index, 0 to 1Saudi Arabia: 0.016 index (0-1), 0.9 index, 0 to 1Sudan: 0.13 index (0-1), 0.511 index, 0 to 1Senegal: 0.633 index (0-1), 0.53 index, 0 to 1Singapore: 0.434 index (0-1), 0.946 index, 0 to 1Solomon Islands: 0.696 index (0-1), 0.584 index, 0 to 1Sierra Leone: 0.471 index (0-1), 0.467 index, 0 to 1El Salvador: 0.321 index (0-1), 0.678 index, 0 to 1Somalia, Fed. Rep.: 0.165 index (0-1), 0.404 index, 0 to 1Serbia: 0.3 index (0-1), 0.833 index, 0 to 1Sao Tome and Principe: 0.632 index (0-1), 0.637 index, 0 to 1Suriname: 0.781 index (0-1), 0.722 index, 0 to 1Slovak Republic: 0.733 index (0-1), 0.88 index, 0 to 1Slovenia: 0.692 index (0-1), 0.931 index, 0 to 1Sweden: 0.889 index (0-1), 0.959 index, 0 to 1Eswatini: 0.128 index (0-1), 0.695 index, 0 to 1Seychelles: 0.76 index (0-1), 0.848 index, 0 to 1Syrian Arab Republic: 0.128 index (0-1), 0.564 index, 0 to 1Chad: 0.242 index (0-1), 0.416 index, 0 to 1Togo: 0.351 index (0-1), 0.571 index, 0 to 1Thailand: 0.424 index (0-1), 0.798 index, 0 to 1Tajikistan: 0.158 index (0-1), 0.691 index, 0 to 1Turkmenistan: 0.148 index (0-1), 0.764 index, 0 to 1Timor-Leste: 0.736 index (0-1), 0.634 index, 0 to 1Trinidad and Tobago: 0.786 index (0-1), 0.807 index, 0 to 1Tunisia: 0.395 index (0-1), 0.746 index, 0 to 1Turkiye: 0.293 index (0-1), 0.853 index, 0 to 1Tanzania: 0.365 index (0-1), 0.555 index, 0 to 1Uganda: 0.253 index (0-1), 0.582 index, 0 to 1Ukraine: 0.386 index (0-1), 0.779 index, 0 to 1Uruguay: 0.862 index (0-1), 0.862 index, 0 to 1United States: 0.735 index (0-1), 0.938 index, 0 to 1Uzbekistan: 0.218 index (0-1), 0.74 index, 0 to 1Viet Nam: 0.146 index (0-1), 0.766 index, 0 to 1Vanuatu: 0.729 index (0-1), 0.621 index, 0 to 1South Africa: 0.743 index (0-1), 0.741 index, 0 to 1Zambia: 0.497 index (0-1), 0.595 index, 0 to 1Zimbabwe: 0.268 index (0-1), 0.598 index, 0 to 1AFGARECHEDNKGMBLBRMLINORQATSAUSENSOM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.5178.6e-13167
By rank (Spearman), not adjusted+0.5423.9e-14167
Standard (Pearson), adjusted for national income+0.2770.000167
By rank (Spearman), adjusted for national income+0.3056.6e-5167

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: +0.240 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.243 (without QAT) to +0.294 (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: QAT (-0.034).

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+0.63
Europe & Central Asia48+0.65
Latin America & Caribbean23+0.43
Middle East, North Africa, Afghanistan & Pakistan21+0.30
Sub-Saharan Africa46+0.28

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+0.20
Middle third55+0.00
Richest third56+0.48

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+0.32
Muslims47-0.04

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+0.14
Never a European colony21+0.28
Spain19+0.27
United Kingdom49+0.30

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 = +0.277 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 34years. 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 = +0.042, 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 electoral democracy moved did not tend to see their hdi move with it.

Across countries (adjusted)+0.277for comparison
Within countries+0.192each country vs itself
…and vs the same year elsewhere+0.042q = 0.621 · 171 countries
Year-on-year changes+0.005q = 0.872
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.

5,406 country-years (one country in one year), 171 countries, 1990–2023, about 32 years each on average. Share of the variation that happens within countries over time: 10% for Electoral democracy, 10% for HDI. 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

0.20−0.2-100+10years HDI trails Electoral democracy →lag -10: r = -0.084 (n = 4,041)lag -9: r = -0.076 (n = 4,212)lag -8: r = -0.065 (n = 4,383)lag -7: r = -0.054 (n = 4,554)lag -6: r = -0.039 (n = 4,725)lag -5: r = -0.024 (n = 4,896)lag -4: r = -0.009 (n = 5,067)lag -3: r = 0.005 (n = 5,237)lag -2: r = 0.016 (n = 5,408)lag -1: r = 0.028 (n = 5,408)lag +0: r = 0.042 (n = 5,406)lag +1: r = 0.055 (n = 5,271)lag +2: r = 0.065 (n = 5,136)lag +3: r = 0.071 (n = 5,001)lag +4: r = 0.079 (n = 4,865)lag +5: r = 0.083 (n = 4,729)lag +6: r = 0.091 (n = 4,586)lag +7: r = 0.095 (n = 4,443)lag +8: r = 0.104 (n = 4,300)lag +9: r = 0.113 (n = 4,157)lag +10: r = 0.120 (n = 4,010)

Same year (lag 0): +0.042. 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 (0-1)

index, 0 to 1
Years
Denmark DNK0.9130.9622025, 2023
Norway NOR0.890.972025, 2023
Sweden SWE0.8890.9592025, 2023
Belgium BEL0.8890.9512025, 2023
Ireland IRL0.8870.9492025, 2023
Estonia EST0.8870.9052025, 2023
Switzerland CHE0.8820.972025, 2023
Luxembourg LUX0.8690.9222025, 2023
France FRA0.8650.922025, 2023
Uruguay URY0.8620.8622025, 2023
Costa Rica CRI0.8620.8332025, 2023
Finland FIN0.8520.9482025, 2023
New Zealand NZL0.8490.9382025, 2023
Czechia CZE0.8490.9152025, 2023
Australia AUS0.8440.9582025, 2023

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

Sources

Electoral democracy

Electoral democracy index (polyarchy)

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

Based on political scientist Robert Dahl's idea of "polyarchy": are leaders chosen in free and fair elections, with freedom of speech, freedom to form groups, and the vote for nearly all adults? It is the base index that most other V-Dem measures are built on.

HDI

Human Development Index

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

The geometric mean (a kind of average that multiplies the parts together) of three parts: income per person (GNI per capita), life expectancy, and schooling (expected years and average years). All four inputs are on this site, and each is flagged. So a link between the HDI and any of them is shown for what it is: the index matching a part of itself. For the same reason it is kept out of this site's own topic scores. Those already contain its parts, and adding it would count each twice. It is the most-cited development index there is. It is here mostly so its parts can be read separately.

How this was computed

Data used: most recent value in 2010-2025; values come from 2023–2025. 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 Electoral democracy and HDI

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

More links with Electoral democracy or HDI