Armed conflict present vs. Women's age at first marriage
Fades after adjusting for income
Across 40 countries, Armed conflict present and Women's age at first marriage rise and fall together at r = -0.57 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) leaves r = -0.48, which could easily be chance (q = 0.24, allowing for the many pairs tested, and allowing for countries in the same region being alike). Caution: leave-one-out range spans 0.22 in r.
Comparing countries across the middle half of women's age at first marriage, 28.9 to 32 years, armed conflict present is better by 0.204 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.18 points.
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.
“Link with income” is how closely each measure tracks GDP per person across countries, from −1 to +1.
Every country as a dot
best-fit line line after adjusting
Four ways to measure the link
| Method | r | p | Countries |
|---|---|---|---|
| Standard (Pearson), not adjusted | -0.567 | 0.000 | 40 |
| By rank (Spearman), not adjusted | -0.448 | 0.004 | 40 |
| Standard (Pearson), adjusted for national income | -0.479 | 0.002 | 40 |
| By rank (Spearman), adjusted for national income | -0.332 | 0.039 | 40 |
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 40 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: +0.089 (a minus sign means it grew).
How solid is it?
Leaving out one country at a time, r ranges from -0.538 (without MEX) to -0.322 (without ISR). 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: ISR (+0.157).
- leave-one-out range spans 0.22 in r
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.
| n | r | ||
|---|---|---|---|
| Europe & Central Asia | 30 | -0.43 |
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.
| n | r | ||
|---|---|---|---|
| Poorest third | 14 | -0.80 |
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.
| n | r | ||
|---|---|---|---|
| Christians | 33 | -0.11 |
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 = -0.479 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 21years. 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 = +0.103, 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 armed conflict present moved did not tend to see their women's age at first marriage move with it.
693 country-years (one country in one year), 41 countries, 2001–2021, about 17 years each on average. Share of the variation that happens within countries over time: 28% for Armed conflict present, 39% for Women's age at first marriage. 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
Same year (lag 0): +0.103. 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.
The data
1 if any conflict, else 0 | years | Years | |
|---|---|---|---|
| Turkiye TUR | 1 | 25.2 | 2025, 2020 |
| Mexico MEX | 1 | 27.5 | 2025, 2014 |
| Israel ISR | 1 | 24.9 | 2025, 2019 |
| United States USA | 0 | 28.6 | 2025, 2021 |
| Sweden SWE | 0 | 34.8 | 2025, 2020 |
| Slovenia SVN | 0 | 31.1 | 2025, 2020 |
| Slovak Republic SVK | 0 | 28.8 | 2025, 2020 |
| Romania ROU | 0 | 27.3 | 2025, 2020 |
| Portugal PRT | 0 | 32.3 | 2025, 2020 |
| Poland POL | 0 | 27.9 | 2025, 2020 |
| New Zealand NZL | 0 | 29.6 | 2025, 2021 |
| Norway NOR | 0 | 34.1 | 2025, 2020 |
| Netherlands NLD | 0 | 31.8 | 2025, 2020 |
| Malta MLT | 0 | 29.2 | 2025, 2011 |
| Latvia LVA | 0 | 29.8 | 2025, 2020 |
Uppsala Conflict Data Program, Georeferenced Event Dataset; rate per population from Our World in Data
OECD databases as named on each indicator: PISA, Social Expenditure Database (SOCX), Income Distribution Database, Development Assistance Committee statistics, Family Database, Government at a Glance, Corporate Tax Statistics, employment and environment statistics
Sources
Armed conflict present
Whether an armed conflict is taking place in the country
Uppsala Conflict Data Program, Uppsala University · via Our World in Data · CC BY 4.0 · updated annual
One if any armed conflict took place on the country's territory that year, and zero if not. That makes it the site's first true yes-or-no measure. A link with a yes-or-no measure is a fair one: it compares the countries at war with the countries not at war. It answers a different question from the death rate: whether a country has a war at all, not how many people die. The two are treated as measuring the same thing, so their pair reads as two views of one thing, not as a finding. It is kept out of the crime score. A yes-or-no flag averaged into a combined score beside a rate would count the same conflicts twice.
Women's age at first marriage
Mean age of women at first marriage
OECD · via Our World in Data · CC BY 4.0 (OECD terms and conditions) · updated annual, except the snapshots noted per indicator
Published from 2001. How many countries report it varies from year to year: 25 in 2012, two in 2021. So the latest value in the time window used is from a different year for different countries. No "better" direction is set.
How this was computed
Data used: most recent value in 2010-2025; values come from 2011–2025. 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 5 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 Armed conflict present and Women's age at first marriage
This page shows that two measures go together. It does not show that Armed conflict present changes Women's age at first marriage, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.
More links with Armed conflict present or Women's age at first marriage
- Gender score vs Women's age at first marriage before +0.56 → after adjusting +0.54
- Governance score vs Women's age at first marriage before +0.64 → after adjusting +0.52
- Gender Inequality Index vs Women's age at first marriage before -0.65 → after adjusting -0.52
- Age at childbearing vs Women's age at first marriage before +0.64 → after adjusting +0.50
- Electoral democracy vs Women's age at first marriage before +0.63 → after adjusting +0.50
- Regime type vs Women's age at first marriage before +0.62 → after adjusting +0.50
- Free and fair elections vs Women's age at first marriage before +0.61 → after adjusting +0.49
- Life expectancy vs Women's age at first marriage before +0.62 → after adjusting +0.48