placestats

Middle Eastern ancestry vs. Women's political empowerment

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 Women's political empowerment rise and fall together at r = -0.35 (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 = -0.46, q = 0.00068, 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, women's political empowerment is worse by 0.00074 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)-0.346p = 9.9e-6 · 156 countries
After adjusting for national income-0.455p = 2.6e-9 · likely range [-0.57, -0.32]
p, allowing for regions3.5e-6standard error 0.028 · 7 regions
Check for luck (q)0.001across 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
Women's political empowerment · index (0-1)link with income +0.54 · 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 →Women's political empowerment · index (0-1) →0%100%0.0280.954Afghanistan: 1% of population, 0.028 index (0-1)Angola: 0% of population, 0.77 index (0-1)Albania: 0% of population, 0.893 index (0-1)United Arab Emirates: 100% of population, 0.614 index (0-1)Argentina: 3% of population, 0.832 index (0-1)Armenia: 0% of population, 0.875 index (0-1)Australia: 2.5% of population, 0.906 index (0-1)Austria: 0% of population, 0.905 index (0-1)Azerbaijan: 1% of population, 0.649 index (0-1)Burundi: 0% of population, 0.653 index (0-1)Belgium: 1.6% of population, 0.952 index (0-1)Benin: 0% of population, 0.882 index (0-1)Burkina Faso: 0% of population, 0.602 index (0-1)Bangladesh: 0% of population, 0.537 index (0-1)Bulgaria: 0% of population, 0.907 index (0-1)Bahrain: 100% of population, 0.568 index (0-1)Bosnia and Herzegovina: 0% of population, 0.821 index (0-1)Belarus: 0% of population, 0.657 index (0-1)Bolivia: 0% of population, 0.84 index (0-1)Brazil: 0% of population, 0.818 index (0-1)Bhutan: 0% of population, 0.675 index (0-1)Botswana: 0% of population, 0.699 index (0-1)Central African Republic: 0% of population, 0.556 index (0-1)Canada: 0.9% of population, 0.872 index (0-1)Switzerland: 0% of population, 0.93 index (0-1)Chile: 2% of population, 0.913 index (0-1)China: 0% of population, 0.587 index (0-1)Cote d'Ivoire: 0.7% of population, 0.696 index (0-1)Cameroon: 0% of population, 0.76 index (0-1)Congo, Dem. Rep.: 0% of population, 0.55 index (0-1)Congo, Rep.: 0% of population, 0.466 index (0-1)Colombia: 0% of population, 0.777 index (0-1)Comoros: 0% of population, 0.556 index (0-1)Cabo Verde: 0% of population, 0.855 index (0-1)Costa Rica: 0% of population, 0.907 index (0-1)Cyprus: 0% of population, 0.856 index (0-1)Czechia: 0% of population, 0.93 index (0-1)Germany: 0% of population, 0.942 index (0-1)Denmark: 0% of population, 0.954 index (0-1)Dominican Republic: 0% of population, 0.825 index (0-1)Algeria: 100% of population, 0.625 index (0-1)Ecuador: 0% of population, 0.79 index (0-1)Egypt, Arab Rep.: 94.5% of population, 0.547 index (0-1)Spain: 0.3% of population, 0.943 index (0-1)Estonia: 0% of population, 0.941 index (0-1)Ethiopia: 0% of population, 0.691 index (0-1)Finland: 0% of population, 0.932 index (0-1)Fiji: 0% of population, 0.644 index (0-1)France: 4.8% of population, 0.929 index (0-1)Gabon: 0% of population, 0.798 index (0-1)United Kingdom: 0% of population, 0.838 index (0-1)Georgia: 0% of population, 0.816 index (0-1)Ghana: 0% of population, 0.767 index (0-1)Guinea: 0% of population, 0.532 index (0-1)Gambia, The: 0% of population, 0.813 index (0-1)Guinea-Bissau: 0.5% of population, 0.502 index (0-1)Equatorial Guinea: 0% of population, 0.449 index (0-1)Greece: 0% of population, 0.896 index (0-1)Guatemala: 0% of population, 0.722 index (0-1)Guyana: 0% of population, 0.81 index (0-1)Hong Kong SAR, China: 0% of population, 0.801 index (0-1)Honduras: 0% of population, 0.789 index (0-1)Croatia: 0% of population, 0.913 index (0-1)Haiti: 0% of population, 0.403 index (0-1)Hungary: 0% of population, 0.818 index (0-1)Indonesia: 0% of population, 0.726 index (0-1)India: 0% of population, 0.658 index (0-1)Ireland: 0% of population, 0.927 index (0-1)Iran, Islamic Rep.: 98% of population, 0.32 index (0-1)Iraq: 94.4% of population, 0.555 index (0-1)Israel: 62.7% of population, 0.862 index (0-1)Italy: 0.2% of population, 0.929 index (0-1)Jamaica: 0% of population, 0.929 index (0-1)Jordan: 98% of population, 0.669 index (0-1)Japan: 0% of population, 0.844 index (0-1)Kazakhstan: 0% of population, 0.682 index (0-1)Kenya: 0% of population, 0.804 index (0-1)Kyrgyz Republic: 0% of population, 0.733 index (0-1)Cambodia: 0% of population, 0.534 index (0-1)Korea, Rep.: 0% of population, 0.878 index (0-1)Kuwait: 100% of population, 0.357 index (0-1)Lao PDR: 0% of population, 0.508 index (0-1)Lebanon: 93.1% of population, 0.608 index (0-1)Liberia: 0% of population, 0.823 index (0-1)Libya: 96.5% of population, 0.412 index (0-1)Sri Lanka: 0% of population, 0.742 index (0-1)Lesotho: 0% of population, 0.809 index (0-1)Lithuania: 0% of population, 0.926 index (0-1)Luxembourg: 0.8% of population, 0.896 index (0-1)Latvia: 0% of population, 0.95 index (0-1)Morocco: 91% of population, 0.712 index (0-1)Moldova: 0% of population, 0.898 index (0-1)Madagascar: 0% of population, 0.704 index (0-1)Mexico: 0.8% of population, 0.801 index (0-1)North Macedonia: 0% of population, 0.824 index (0-1)Mali: 0.9% of population, 0.706 index (0-1)Malta: 95.8% of population, 0.917 index (0-1)Myanmar: 0% of population, 0.33 index (0-1)Mongolia: 0% of population, 0.806 index (0-1)Mozambique: 0% of population, 0.725 index (0-1)Mauritania: 0% of population, 0.541 index (0-1)Mauritius: 0% of population, 0.814 index (0-1)Malawi: 0% of population, 0.755 index (0-1)Malaysia: 0% of population, 0.772 index (0-1)Namibia: 0% of population, 0.855 index (0-1)Niger: 1.9% of population, 0.709 index (0-1)Nigeria: 0% of population, 0.732 index (0-1)Nicaragua: 0% of population, 0.531 index (0-1)Netherlands: 1% of population, 0.903 index (0-1)Norway: 0% of population, 0.926 index (0-1)Nepal: 0% of population, 0.792 index (0-1)New Zealand: 0% of population, 0.937 index (0-1)Oman: 81.4% of population, 0.357 index (0-1)Pakistan: 0% of population, 0.524 index (0-1)Panama: 0.6% of population, 0.742 index (0-1)Peru: 0% of population, 0.775 index (0-1)Philippines: 0% of population, 0.81 index (0-1)Papua New Guinea: 0% of population, 0.48 index (0-1)Poland: 0% of population, 0.878 index (0-1)Portugal: 0% of population, 0.811 index (0-1)Paraguay: 0% of population, 0.669 index (0-1)Qatar: 61.8% of population, 0.388 index (0-1)Romania: 0% of population, 0.872 index (0-1)Russian Federation: 0% of population, 0.546 index (0-1)Rwanda: 0% of population, 0.626 index (0-1)Saudi Arabia: 95.4% of population, 0.347 index (0-1)Sudan: 1.2% of population, 0.219 index (0-1)Senegal: 0.5% of population, 0.855 index (0-1)Singapore: 0% of population, 0.785 index (0-1)Sierra Leone: 0% of population, 0.801 index (0-1)El Salvador: 0% of population, 0.587 index (0-1)Somalia, Fed. Rep.: 1.1% of population, 0.337 index (0-1)Slovak Republic: 0% of population, 0.878 index (0-1)Slovenia: 0% of population, 0.94 index (0-1)Sweden: 0% of population, 0.923 index (0-1)Eswatini: 0% of population, 0.391 index (0-1)Syrian Arab Republic: 94.8% of population, 0.29 index (0-1)Chad: 0% of population, 0.625 index (0-1)Togo: 0% of population, 0.692 index (0-1)Thailand: 0% of population, 0.688 index (0-1)Tajikistan: 0% of population, 0.431 index (0-1)Turkmenistan: 0% of population, 0.437 index (0-1)Timor-Leste: 0% of population, 0.768 index (0-1)Trinidad and Tobago: 0% of population, 0.874 index (0-1)Tunisia: 100% of population, 0.765 index (0-1)Turkiye: 0.7% of population, 0.558 index (0-1)Tanzania: 0% of population, 0.834 index (0-1)Uganda: 0% of population, 0.636 index (0-1)Ukraine: 0% of population, 0.888 index (0-1)Uruguay: 0% of population, 0.875 index (0-1)United States: 0.551% of population, 0.829 index (0-1)Uzbekistan: 0% of population, 0.643 index (0-1)Viet Nam: 0% of population, 0.808 index (0-1)South Africa: 0% of population, 0.83 index (0-1)Zambia: 0% of population, 0.791 index (0-1)Zimbabwe: 0% of population, 0.727 index (0-1)AFGBELDNKIRNKWTLVAMARMLTMMRSDNSYRTUN

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.3469.9e-6156
By rank (Spearman), not adjusted-0.2020.011156
Standard (Pearson), adjusted for national income-0.4552.6e-9156
By rank (Spearman), adjusted for national income-0.3498.7e-6156

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: -0.110 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.478 (without MLT) to -0.425 (without KWT). 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: KWT (+0.030).

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+0.15
Europe & Central Asia45-0.02
Latin America & Caribbean21+0.08
Middle East, North Africa, Afghanistan & Pakistan20+0.25
Sub-Saharan Africa44-0.27

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 third52-0.18
Middle third52-0.43
Richest third52-0.69

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+0.04
Muslims45-0.31

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
France24-0.29
Never a European colony21-0.60
Spain19+0.06
United Kingdom45-0.49

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 = -0.070 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%0.7652000, 2025
Kuwait KWT100%0.3572000, 2025
Algeria DZA100%0.6252000, 2025
Bahrain BHR100%0.5682000, 2025
United Arab Emirates ARE100%0.6142000, 2025
Jordan JOR98%0.6692000, 2025
Iran, Islamic Rep. IRN98%0.322000, 2025
Libya LBY96.5%0.4122000, 2025
Malta MLT95.8%0.9172000, 2025
Saudi Arabia SAU95.4%0.3472000, 2025
Syrian Arab Republic SYR94.8%0.292000, 2025
Egypt, Arab Rep. EGY94.5%0.5472000, 2025
Iraq IRQ94.4%0.5552000, 2025
Lebanon LBN93.1%0.6082000, 2025
Morocco MAR91%0.7122000, 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.

Women's political empowerment

Women's political empowerment index

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

Women's civil liberties, their part in civic groups, and their political representation. It is built from its own set of questions, not from the parts of the democracy indices, so it is not tagged as measuring the same thing. Still, read its links with them carefully. Whether women take part in politics is partly built into whether real political participation exists at all. So a strong link with general democracy measures is closer to definitional (true by how the terms are defined) than to a finding about the world.

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 Women's political empowerment

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

More links with Middle Eastern ancestry or Women's political empowerment