placestats

Middle Eastern ancestry vs. Participatory democracy

Holds up after adjusting for income

A country is not a person, and ancestry is not destiny. Countries where more people have ancestors from one part of the world also tend to differ on the other measure, and that is all. It does notfollow that people with that ancestry are the people with the different score. Making that leap is called the ecological fallacy: reading a pattern across places as a fact about individual people. Ancestry also goes very closely with region and with history, including colonisation and the Atlantic slave trade, and with national income. So much of what looks like ancestry here is really those. That is what the adjusted figures and the region-by-region view are for. The shares are one estimate, for around the year 2000, of where people’s ancestors lived in 1500, not how anyone identifies.

Across 156 countries, Middle Eastern ancestry and Participatory democracy rise and fall together at r = -0.32 (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 = -0.44, q = 0.0025, allowing for the many pairs tested). Caution: correlation moves sharply once outliers are trimmed.

Comparing countries across the middle half of middle eastern ancestry, 0% to 0.35% of population, participatory democracy is worse by 0.00072 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.00088 points.

Link before adjusting (r)-0.315p = 6.1e-5 · 156 countries
After adjusting for national income-0.436p = 1.4e-8 · likely range [-0.56, -0.30]
p, allowing for regions3.6e-5standard error 0.040 · 7 regions
Check for luck (q)0.003across 13,797 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.

Middle Eastern ancestry · % of populationlink with income +0.16 · independent
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

Middle Eastern ancestry · % of population →Participatory democracy · index (0-1) →0%100%0.0260.785Afghanistan: 1% of population, 0.051 index (0-1)Angola: 0% of population, 0.103 index (0-1)Albania: 0% of population, 0.29 index (0-1)United Arab Emirates: 100% of population, 0.031 index (0-1)Argentina: 3% of population, 0.429 index (0-1)Armenia: 0% of population, 0.319 index (0-1)Australia: 2.5% of population, 0.648 index (0-1)Austria: 0% of population, 0.582 index (0-1)Azerbaijan: 1% of population, 0.043 index (0-1)Burundi: 0% of population, 0.142 index (0-1)Belgium: 1.6% of population, 0.633 index (0-1)Benin: 0% of population, 0.28 index (0-1)Burkina Faso: 0% of population, 0.104 index (0-1)Bangladesh: 0% of population, 0.099 index (0-1)Bulgaria: 0% of population, 0.397 index (0-1)Bahrain: 100% of population, 0.054 index (0-1)Bosnia and Herzegovina: 0% of population, 0.298 index (0-1)Belarus: 0% of population, 0.054 index (0-1)Bolivia: 0% of population, 0.414 index (0-1)Brazil: 0% of population, 0.528 index (0-1)Bhutan: 0% of population, 0.349 index (0-1)Botswana: 0% of population, 0.369 index (0-1)Central African Republic: 0% of population, 0.13 index (0-1)Canada: 0.9% of population, 0.589 index (0-1)Switzerland: 0% of population, 0.785 index (0-1)Chile: 2% of population, 0.574 index (0-1)China: 0% of population, 0.036 index (0-1)Cote d'Ivoire: 0.7% of population, 0.262 index (0-1)Cameroon: 0% of population, 0.093 index (0-1)Congo, Dem. Rep.: 0% of population, 0.2 index (0-1)Congo, Rep.: 0% of population, 0.188 index (0-1)Colombia: 0% of population, 0.467 index (0-1)Comoros: 0% of population, 0.2 index (0-1)Cabo Verde: 0% of population, 0.458 index (0-1)Costa Rica: 0% of population, 0.606 index (0-1)Cyprus: 0% of population, 0.49 index (0-1)Czechia: 0% of population, 0.562 index (0-1)Germany: 0% of population, 0.593 index (0-1)Denmark: 0% of population, 0.7 index (0-1)Dominican Republic: 0% of population, 0.475 index (0-1)Algeria: 100% of population, 0.095 index (0-1)Ecuador: 0% of population, 0.462 index (0-1)Egypt, Arab Rep.: 94.5% of population, 0.076 index (0-1)Spain: 0.3% of population, 0.572 index (0-1)Estonia: 0% of population, 0.621 index (0-1)Ethiopia: 0% of population, 0.128 index (0-1)Finland: 0% of population, 0.597 index (0-1)Fiji: 0% of population, 0.265 index (0-1)France: 4.8% of population, 0.597 index (0-1)Gabon: 0% of population, 0.24 index (0-1)United Kingdom: 0% of population, 0.533 index (0-1)Georgia: 0% of population, 0.236 index (0-1)Ghana: 0% of population, 0.361 index (0-1)Guinea: 0% of population, 0.12 index (0-1)Gambia, The: 0% of population, 0.406 index (0-1)Guinea-Bissau: 0.5% of population, 0.128 index (0-1)Equatorial Guinea: 0% of population, 0.041 index (0-1)Greece: 0% of population, 0.493 index (0-1)Guatemala: 0% of population, 0.421 index (0-1)Guyana: 0% of population, 0.283 index (0-1)Hong Kong SAR, China: 0% of population, 0.049 index (0-1)Honduras: 0% of population, 0.32 index (0-1)Croatia: 0% of population, 0.459 index (0-1)Haiti: 0% of population, 0.119 index (0-1)Hungary: 0% of population, 0.268 index (0-1)Indonesia: 0% of population, 0.298 index (0-1)India: 0% of population, 0.246 index (0-1)Ireland: 0% of population, 0.619 index (0-1)Iran, Islamic Rep.: 98% of population, 0.042 index (0-1)Iraq: 94.4% of population, 0.224 index (0-1)Israel: 62.7% of population, 0.455 index (0-1)Italy: 0.2% of population, 0.569 index (0-1)Jamaica: 0% of population, 0.524 index (0-1)Jordan: 98% of population, 0.132 index (0-1)Japan: 0% of population, 0.526 index (0-1)Kazakhstan: 0% of population, 0.107 index (0-1)Kenya: 0% of population, 0.335 index (0-1)Kyrgyz Republic: 0% of population, 0.163 index (0-1)Cambodia: 0% of population, 0.06 index (0-1)Korea, Rep.: 0% of population, 0.551 index (0-1)Kuwait: 100% of population, 0.053 index (0-1)Lao PDR: 0% of population, 0.118 index (0-1)Lebanon: 93.1% of population, 0.222 index (0-1)Liberia: 0% of population, 0.321 index (0-1)Libya: 96.5% of population, 0.087 index (0-1)Sri Lanka: 0% of population, 0.52 index (0-1)Lesotho: 0% of population, 0.404 index (0-1)Lithuania: 0% of population, 0.56 index (0-1)Luxembourg: 0.8% of population, 0.556 index (0-1)Latvia: 0% of population, 0.595 index (0-1)Morocco: 91% of population, 0.151 index (0-1)Moldova: 0% of population, 0.389 index (0-1)Madagascar: 0% of population, 0.217 index (0-1)Mexico: 0.8% of population, 0.337 index (0-1)North Macedonia: 0% of population, 0.354 index (0-1)Mali: 0.9% of population, 0.164 index (0-1)Malta: 95.8% of population, 0.529 index (0-1)Myanmar: 0% of population, 0.041 index (0-1)Mongolia: 0% of population, 0.281 index (0-1)Mozambique: 0% of population, 0.201 index (0-1)Mauritania: 0% of population, 0.221 index (0-1)Mauritius: 0% of population, 0.481 index (0-1)Malawi: 0% of population, 0.366 index (0-1)Malaysia: 0% of population, 0.303 index (0-1)Namibia: 0% of population, 0.349 index (0-1)Niger: 1.9% of population, 0.189 index (0-1)Nigeria: 0% of population, 0.323 index (0-1)Nicaragua: 0% of population, 0.098 index (0-1)Netherlands: 1% of population, 0.553 index (0-1)Norway: 0% of population, 0.638 index (0-1)Nepal: 0% of population, 0.435 index (0-1)New Zealand: 0% of population, 0.581 index (0-1)Oman: 81.4% of population, 0.12 index (0-1)Pakistan: 0% of population, 0.192 index (0-1)Panama: 0.6% of population, 0.441 index (0-1)Peru: 0% of population, 0.448 index (0-1)Philippines: 0% of population, 0.261 index (0-1)Papua New Guinea: 0% of population, 0.28 index (0-1)Poland: 0% of population, 0.519 index (0-1)Portugal: 0% of population, 0.529 index (0-1)Paraguay: 0% of population, 0.342 index (0-1)Qatar: 61.8% of population, 0.034 index (0-1)Romania: 0% of population, 0.416 index (0-1)Russian Federation: 0% of population, 0.124 index (0-1)Rwanda: 0% of population, 0.13 index (0-1)Saudi Arabia: 95.4% of population, 0.026 index (0-1)Sudan: 1.2% of population, 0.051 index (0-1)Senegal: 0.5% of population, 0.402 index (0-1)Singapore: 0% of population, 0.121 index (0-1)Sierra Leone: 0% of population, 0.307 index (0-1)El Salvador: 0% of population, 0.159 index (0-1)Somalia, Fed. Rep.: 1.1% of population, 0.095 index (0-1)Slovak Republic: 0% of population, 0.508 index (0-1)Slovenia: 0% of population, 0.506 index (0-1)Sweden: 0% of population, 0.635 index (0-1)Eswatini: 0% of population, 0.11 index (0-1)Syrian Arab Republic: 94.8% of population, 0.058 index (0-1)Chad: 0% of population, 0.129 index (0-1)Togo: 0% of population, 0.233 index (0-1)Thailand: 0% of population, 0.186 index (0-1)Tajikistan: 0% of population, 0.059 index (0-1)Turkmenistan: 0% of population, 0.033 index (0-1)Timor-Leste: 0% of population, 0.462 index (0-1)Trinidad and Tobago: 0% of population, 0.505 index (0-1)Tunisia: 100% of population, 0.242 index (0-1)Turkiye: 0.7% of population, 0.165 index (0-1)Tanzania: 0% of population, 0.245 index (0-1)Uganda: 0% of population, 0.156 index (0-1)Ukraine: 0% of population, 0.252 index (0-1)Uruguay: 0% of population, 0.716 index (0-1)United States: 0.551% of population, 0.51 index (0-1)Uzbekistan: 0% of population, 0.082 index (0-1)Viet Nam: 0% of population, 0.164 index (0-1)South Africa: 0% of population, 0.47 index (0-1)Zambia: 0% of population, 0.348 index (0-1)Zimbabwe: 0% of population, 0.202 index (0-1)AREBHRCHECHNDNKGNQISRKWTMLTTKMTUNURY

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.3156.1e-5156
By rank (Spearman), not adjusted-0.1900.018156
Standard (Pearson), adjusted for national income-0.4361.4e-8156
By rank (Spearman), adjusted for national income-0.3050.000156

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 156 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: -0.121 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.459 (without MLT) to -0.410 (without ARE). 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: ARE (+0.026).

Fragile: this link may not hold up.
  • correlation moves sharply once outliers are trimmed
  • direction is not consistent across regions
  • much weaker within regions than across them (largely a between-region difference)

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 & Pacific19+0.42
Europe & Central Asia45+0.01
Latin America & Caribbean21-0.01
Middle East, North Africa, Afghanistan & Pakistan20-0.09
Sub-Saharan Africa44-0.15

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 third52-0.19
Middle third52-0.38
Richest third52-0.57

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
Christians90+0.02
Muslims45-0.30

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
France24-0.19
Never a European colony21-0.38
Spain19-0.19
United Kingdom45-0.58

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 = -0.011 after dropping 31 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


% of population

index (0-1)
Years
Tunisia TUN100%0.2422000, 2025
Kuwait KWT100%0.0532000, 2025
Algeria DZA100%0.0952000, 2025
Bahrain BHR100%0.0542000, 2025
United Arab Emirates ARE100%0.0312000, 2025
Jordan JOR98%0.1322000, 2025
Iran, Islamic Rep. IRN98%0.0422000, 2025
Libya LBY96.5%0.0872000, 2025
Malta MLT95.8%0.5292000, 2025
Saudi Arabia SAU95.4%0.0262000, 2025
Syrian Arab Republic SYR94.8%0.0582000, 2025
Egypt, Arab Rep. EGY94.5%0.0762000, 2025
Iraq IRQ94.4%0.2242000, 2025
Lebanon LBN93.1%0.2222000, 2025
Morocco MAR91%0.1512000, 2025

Putterman, L. and Weil, D. N. (2010), 'Post-1500 Population Flows and the Long-Run Determinants of Economic Growth and Inequality', Quarterly Journal of Economics 125(4); World Migration Matrix version 1.1 (2009).
Coppedge, M. et al., V-Dem Dataset, Varieties of Democracy (V-Dem) Project

Sources

Middle Eastern ancestry

Middle Eastern and North African ancestry (share of the population)

Louis Putterman and David N. Weil, Brown University · No licence stated; used with citation · updated one edition (version 1.1, 2009)

The estimated share of today's population whose ancestors in the year 1500 lived in the Middle East or North Africa. This is the closest thing to race shares that can be compared across countries: national censuses each use their own race and ethnic categories, and most countries record none. It is about where people's ancestors lived, not how anyone identifies, and it is one estimate for around the year 2000, built from history, migration records and genetic studies. Every country's six ancestry shares add up to 100%, so they are linked to each other by arithmetic. No "better" direction is set.

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 2000–2025. 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 13,797 pairs at once, using the Benjamini–Hochberg method. Underlying data last updated DYB 2024. How the country data works · explore Middle Eastern ancestry and Participatory democracy

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

More links with Middle Eastern ancestry or Participatory democracy