placestats

Adolescent fertility vs. Religion very important

Fades after adjusting for income

A country is not a person. Countries where more people are counted as belonging to this group also tend to differ on the other measure, and that is all. It does not follow that the people in the group 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. It is the most common misuse of this kind of data. Religion also varies strongly with region, history and national income, so much of what looks religious here is really those. That is what the adjusted figures are for. The religion shares are estimates for two years only, and the survey questions are asked in rounds that can be ten years apart.

Across 107 countries, Adolescent fertility and Religion very important 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 +0.09, which could easily be chance (q = 0.70, 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 religion very important, 15.5% to 70% of respondents, adolescent fertility is worse by 24.5 births per 1,000 women aged 15-19 at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 3.66 births per 1,000 women aged 15-19.

Link before adjusting (r)+0.518p = 1.1e-8 · 107 countries
After adjusting for national income+0.091p = 0.354 · likely range [-0.10, +0.28]
p, allowing for regions0.444standard error 0.111 · 7 regions
Check for luck (q)0.701across 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.

Adolescent fertility · births per 1,000 women aged 15-19link with income -0.81 · proxy
Religion very important · % of respondentslink with income -0.66 · high

Both of these rise and fall closely with national income, so a strong link between them before adjusting was close to certain. Read the adjusted figure, not the first one.

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

Every country as a dot

Adolescent fertility · births per 1,000 women aged 15-19 →Religion very important · % of respondents →0.4781363.25%98.9%Albania: 12.4 births per 1,000 women aged 15-19, 24.4% of respondentsAndorra: 3.4 births per 1,000 women aged 15-19, 9.46% of respondentsArgentina: 25.6 births per 1,000 women aged 15-19, 24.3% of respondentsArmenia: 12.8 births per 1,000 women aged 15-19, 52.7% of respondentsAustralia: 6.42 births per 1,000 women aged 15-19, 13.8% of respondentsAustria: 3.6 births per 1,000 women aged 15-19, 13.9% of respondentsAzerbaijan: 34.9 births per 1,000 women aged 15-19, 15.9% of respondentsBelgium: 3.5 births per 1,000 women aged 15-19, 13.2% of respondentsBurkina Faso: 85.5 births per 1,000 women aged 15-19, 82.9% of respondentsBangladesh: 70.8 births per 1,000 women aged 15-19, 94.2% of respondentsBulgaria: 38 births per 1,000 women aged 15-19, 21.9% of respondentsBosnia and Herzegovina: 10.8 births per 1,000 women aged 15-19, 39.8% of respondentsBelarus: 8.17 births per 1,000 women aged 15-19, 19.7% of respondentsBolivia: 64.4 births per 1,000 women aged 15-19, 58.4% of respondentsBrazil: 41.5 births per 1,000 women aged 15-19, 45.1% of respondentsCanada: 4.5 births per 1,000 women aged 15-19, 15.5% of respondentsSwitzerland: 1.48 births per 1,000 women aged 15-19, 11.3% of respondentsChile: 5.61 births per 1,000 women aged 15-19, 20.7% of respondentsChina: 5.2 births per 1,000 women aged 15-19, 3.25% of respondentsColombia: 58.4 births per 1,000 women aged 15-19, 58.4% of respondentsCyprus: 6.98 births per 1,000 women aged 15-19, 50.5% of respondentsCzechia: 5.75 births per 1,000 women aged 15-19, 7.67% of respondentsGermany: 5.24 births per 1,000 women aged 15-19, 13.5% of respondentsDenmark: 1.06 births per 1,000 women aged 15-19, 5.73% of respondentsAlgeria: 8.58 births per 1,000 women aged 15-19, 90.7% of respondentsEcuador: 54.3 births per 1,000 women aged 15-19, 53.6% of respondentsEgypt, Arab Rep.: 41.1 births per 1,000 women aged 15-19, 97.3% of respondentsSpain: 4.85 births per 1,000 women aged 15-19, 17.2% of respondentsEstonia: 4.67 births per 1,000 women aged 15-19, 6.54% of respondentsEthiopia: 68.2 births per 1,000 women aged 15-19, 92.8% of respondentsFinland: 2.99 births per 1,000 women aged 15-19, 11% of respondentsFrance: 3.3 births per 1,000 women aged 15-19, 14.3% of respondentsUnited Kingdom: 7.82 births per 1,000 women aged 15-19, 15.6% of respondentsGeorgia: 19.4 births per 1,000 women aged 15-19, 69.6% of respondentsGhana: 57.4 births per 1,000 women aged 15-19, 91.1% of respondentsGreece: 6.85 births per 1,000 women aged 15-19, 54.8% of respondentsGuatemala: 67.9 births per 1,000 women aged 15-19, 51.5% of respondentsHong Kong SAR, China: 1.15 births per 1,000 women aged 15-19, 10.7% of respondentsCroatia: 6.31 births per 1,000 women aged 15-19, 20.6% of respondentsHaiti: 49.3 births per 1,000 women aged 15-19, 28% of respondentsHungary: 17.4 births per 1,000 women aged 15-19, 16.1% of respondentsIndonesia: 25.6 births per 1,000 women aged 15-19, 98.1% of respondentsIndia: 13 births per 1,000 women aged 15-19, 64.2% of respondentsIreland: 4.01 births per 1,000 women aged 15-19, 27.7% of respondentsIran, Islamic Rep.: 25.8 births per 1,000 women aged 15-19, 70.5% of respondentsIraq: 57.3 births per 1,000 women aged 15-19, 87.6% of respondentsIceland: 3.07 births per 1,000 women aged 15-19, 13.2% of respondentsItaly: 2.87 births per 1,000 women aged 15-19, 24.9% of respondentsJordan: 17.7 births per 1,000 women aged 15-19, 95.4% of respondentsJapan: 1.63 births per 1,000 women aged 15-19, 4.58% of respondentsKazakhstan: 17.4 births per 1,000 women aged 15-19, 28.7% of respondentsKenya: 54.5 births per 1,000 women aged 15-19, 86.7% of respondentsKyrgyz Republic: 27.5 births per 1,000 women aged 15-19, 56% of respondentsKorea, Rep.: 0.532 births per 1,000 women aged 15-19, 10.3% of respondentsKuwait: 1.43 births per 1,000 women aged 15-19, 86.5% of respondentsLebanon: 20.7 births per 1,000 women aged 15-19, 64.1% of respondentsLibya: 5.83 births per 1,000 women aged 15-19, 97.9% of respondentsLithuania: 5.52 births per 1,000 women aged 15-19, 12.2% of respondentsLuxembourg: 4 births per 1,000 women aged 15-19, 16.8% of respondentsLatvia: 7.25 births per 1,000 women aged 15-19, 8.84% of respondentsMacao SAR, China: 0.478 births per 1,000 women aged 15-19, 6.63% of respondentsMorocco: 24.8 births per 1,000 women aged 15-19, 89% of respondentsMoldova: 22.7 births per 1,000 women aged 15-19, 32.9% of respondentsMaldives: 5.03 births per 1,000 women aged 15-19, 95.7% of respondentsMexico: 59.3 births per 1,000 women aged 15-19, 50.5% of respondentsNorth Macedonia: 12.4 births per 1,000 women aged 15-19, 53.7% of respondentsMali: 136 births per 1,000 women aged 15-19, 88.2% of respondentsMalta: 10 births per 1,000 women aged 15-19, 58.7% of respondentsMyanmar: 33.2 births per 1,000 women aged 15-19, 81% of respondentsMontenegro: 8.71 births per 1,000 women aged 15-19, 63.1% of respondentsMongolia: 19 births per 1,000 women aged 15-19, 8.76% of respondentsMalaysia: 5.72 births per 1,000 women aged 15-19, 72.4% of respondentsNigeria: 84 births per 1,000 women aged 15-19, 93.4% of respondentsNicaragua: 93.2 births per 1,000 women aged 15-19, 60% of respondentsNetherlands: 1.75 births per 1,000 women aged 15-19, 11.9% of respondentsNorway: 1.28 births per 1,000 women aged 15-19, 11.2% of respondentsNew Zealand: 10.3 births per 1,000 women aged 15-19, 14.5% of respondentsPakistan: 39.9 births per 1,000 women aged 15-19, 89.6% of respondentsPeru: 42.9 births per 1,000 women aged 15-19, 44.6% of respondentsPhilippines: 31.3 births per 1,000 women aged 15-19, 88.9% of respondentsPoland: 5.85 births per 1,000 women aged 15-19, 37.3% of respondentsPuerto Rico (US): 13.3 births per 1,000 women aged 15-19, 64.9% of respondentsPortugal: 6.57 births per 1,000 women aged 15-19, 20.1% of respondentsWest Bank and Gaza: 35.3 births per 1,000 women aged 15-19, 87.5% of respondentsQatar: 5.49 births per 1,000 women aged 15-19, 98.9% of respondentsRomania: 32.8 births per 1,000 women aged 15-19, 48.2% of respondentsRussian Federation: 12.2 births per 1,000 women aged 15-19, 17.4% of respondentsRwanda: 30.6 births per 1,000 women aged 15-19, 40.3% of respondentsSingapore: 2.21 births per 1,000 women aged 15-19, 34% of respondentsSerbia: 13.1 births per 1,000 women aged 15-19, 25.3% of respondentsSlovak Republic: 24.5 births per 1,000 women aged 15-19, 22.2% of respondentsSlovenia: 3.38 births per 1,000 women aged 15-19, 11.5% of respondentsSweden: 1.7 births per 1,000 women aged 15-19, 9.48% of respondentsThailand: 25 births per 1,000 women aged 15-19, 41.8% of respondentsTajikistan: 39.4 births per 1,000 women aged 15-19, 63.1% of respondentsTrinidad and Tobago: 36 births per 1,000 women aged 15-19, 78.5% of respondentsTunisia: 4.21 births per 1,000 women aged 15-19, 90.6% of respondentsTurkiye: 11.2 births per 1,000 women aged 15-19, 60% of respondentsUkraine: 10.9 births per 1,000 women aged 15-19, 19.5% of respondentsUruguay: 25.1 births per 1,000 women aged 15-19, 19.5% of respondentsUnited States: 12.4 births per 1,000 women aged 15-19, 37.1% of respondentsUzbekistan: 34.1 births per 1,000 women aged 15-19, 45.1% of respondentsViet Nam: 33.9 births per 1,000 women aged 15-19, 12.3% of respondentsKosovo: 7.71 births per 1,000 women aged 15-19, 47.1% of respondentsSouth Africa: 51.8 births per 1,000 women aged 15-19, 55.8% of respondentsZambia: 115 births per 1,000 women aged 15-19, 75.7% of respondentsZimbabwe: 95.5 births per 1,000 women aged 15-19, 87.7% of respondentsDNKJPNLBYMACMDVMLINICQATZMBZWE

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.5181.1e-8107
By rank (Spearman), not adjusted+0.6027.1e-12107
Standard (Pearson), adjusted for national income+0.0910.354107
By rank (Spearman), adjusted for national income+0.1410.150107

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 107 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: +0.428 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.058 (without RWA) to +0.122 (without LBY). 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: RWA (-0.033).

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 & Pacific15+0.19
Europe & Central Asia49+0.08
Latin America & Caribbean14+0.61
Middle East, North Africa, Afghanistan & Pakistan14-0.05

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 third36+0.07
Middle third35+0.12
Richest third36+0.43

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
Christians62+0.36
Muslims29+0.07

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
Never a European colony15+0.24
Spain12-0.47
United Kingdom25-0.08

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 = +0.102 after dropping 6 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


births per 1,000 women aged 15-19
% of respondents		Years
Mali MLI13688.2%2024, 2010
Zambia ZMB11575.7%2024, 2010
Zimbabwe ZWE95.587.7%2024, 2022
Nicaragua NIC93.260%2024, 2022
Burkina Faso BFA85.582.9%2024, 2010
Nigeria NGA8493.4%2024, 2022
Bangladesh BGD70.894.2%2024, 2022
Ethiopia ETH68.292.8%2024, 2022
Guatemala GTM67.951.5%2024, 2022
Bolivia BOL64.458.4%2024, 2022
Mexico MEX59.350.5%2024, 2022
Colombia COL58.458.4%2024, 2022
Ghana GHA57.491.1%2024, 2014
Iraq IRQ57.387.6%2024, 2022
Kenya KEN54.586.7%2024, 2022

World Bank, World Development Indicators
Haerpfer, C. et al., World Values Survey; EVS, European Values Study

Sources

Adolescent fertility

Adolescent fertility rate (births per 1,000 women ages 15-19)

UN Population Division, World Population Prospects · CC BY 4.0 · updated quarterly

Religion very important

Share saying religion is very important in their life

World Values Survey Association and European Values Study · via Our World in Data · Free for non-commercial use with attribution · updated irregular (survey waves, roughly every 5 years)

The strongest of four answers. The others are "rather", "not very" and "not at all" important. Thinking religion is important is different from attending services, and the gap between them is the interesting part. The United States reports high importance while attendance falls. Several Catholic countries show the reverse. No "better" direction is set, for the same reason as attendance. The survey runs in waves, not every year.

How this was computed

Data used: most recent value in 2010-2025; values come from 2010–2024. 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 Adolescent fertility and Religion very important

This page shows that two measures go together. It does not show that Adolescent fertility changes Religion very important, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Adolescent fertility or Religion very important