placestats

Gender Inequality Index vs. Under-5 mortality

Fades after adjusting for income

Across 169 countries, Gender Inequality Index and Under-5 mortality rise and fall together at r = +0.80 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.36, which could easily be chance (q = 0.17, 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 gender inequality index, 0.157 to 0.49 points, under-5 mortality is worse by 34 per 1,000 live births at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 19.5 per 1,000 live births.

Link before adjusting (r)+0.798p = 1.2e-38 · 169 countries
After adjusting for national income+0.360p = 1.7e-6 · likely range [+0.22, +0.48]
p, allowing for regions0.043standard error 0.141 · 7 regions
Check for luck (q)0.168across 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.

Gender Inequality Index · index, 0 to 1link with income -0.89 · proxy
Under-5 mortality · per 1,000 live birthslink with income -0.86 · proxy

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

Gender Inequality Index · index, 0 to 1 →Under-5 mortality · per 1,000 live births →0.0030.6772116Afghanistan: 0.661 index, 0 to 1, 53 per 1,000 live birthsAngola: 0.515 index, 0 to 1, 49 per 1,000 live birthsAlbania: 0.107 index, 0 to 1, 9.2 per 1,000 live birthsUnited Arab Emirates: 0.04 index, 0 to 1, 4.8 per 1,000 live birthsArgentina: 0.264 index, 0 to 1, 9.5 per 1,000 live birthsArmenia: 0.18 index, 0 to 1, 9.6 per 1,000 live birthsAntigua and Barbuda: 0.24 index, 0 to 1, 9.1 per 1,000 live birthsAustralia: 0.056 index, 0 to 1, 3.6 per 1,000 live birthsAustria: 0.033 index, 0 to 1, 3.3 per 1,000 live birthsAzerbaijan: 0.315 index, 0 to 1, 17.9 per 1,000 live birthsBurundi: 0.501 index, 0 to 1, 47.1 per 1,000 live birthsBelgium: 0.031 index, 0 to 1, 3.7 per 1,000 live birthsBenin: 0.573 index, 0 to 1, 74.7 per 1,000 live birthsBurkina Faso: 0.555 index, 0 to 1, 74.9 per 1,000 live birthsBangladesh: 0.487 index, 0 to 1, 30.5 per 1,000 live birthsBulgaria: 0.208 index, 0 to 1, 5.7 per 1,000 live birthsBahrain: 0.165 index, 0 to 1, 8.8 per 1,000 live birthsBahamas, The: 0.325 index, 0 to 1, 12.4 per 1,000 live birthsBosnia and Herzegovina: 0.157 index, 0 to 1, 6.9 per 1,000 live birthsBelarus: 0.08 index, 0 to 1, 2.3 per 1,000 live birthsBelize: 0.428 index, 0 to 1, 12.7 per 1,000 live birthsBolivia: 0.419 index, 0 to 1, 15.7 per 1,000 live birthsBrazil: 0.39 index, 0 to 1, 14.2 per 1,000 live birthsBarbados: 0.297 index, 0 to 1, 9.8 per 1,000 live birthsBrunei Darussalam: 0.257 index, 0 to 1, 9.9 per 1,000 live birthsBhutan: 0.278 index, 0 to 1, 17.2 per 1,000 live birthsBotswana: 0.49 index, 0 to 1, 33.3 per 1,000 live birthsCanada: 0.052 index, 0 to 1, 5.4 per 1,000 live birthsSwitzerland: 0.01 index, 0 to 1, 3.9 per 1,000 live birthsChile: 0.102 index, 0 to 1, 6.8 per 1,000 live birthsChina: 0.132 index, 0 to 1, 5.7 per 1,000 live birthsCote d'Ivoire: 0.589 index, 0 to 1, 64.5 per 1,000 live birthsCameroon: 0.558 index, 0 to 1, 64.8 per 1,000 live birthsCongo, Dem. Rep.: 0.604 index, 0 to 1, 89.7 per 1,000 live birthsCongo, Rep.: 0.565 index, 0 to 1, 39.1 per 1,000 live birthsColombia: 0.393 index, 0 to 1, 11.5 per 1,000 live birthsComoros: 0.501 index, 0 to 1, 39 per 1,000 live birthsCabo Verde: 0.298 index, 0 to 1, 11.1 per 1,000 live birthsCosta Rica: 0.217 index, 0 to 1, 10.4 per 1,000 live birthsCyprus: 0.252 index, 0 to 1, 5 per 1,000 live birthsCzechia: 0.088 index, 0 to 1, 2.6 per 1,000 live birthsGermany: 0.057 index, 0 to 1, 3.7 per 1,000 live birthsDjibouti: 0.481 index, 0 to 1, 48.9 per 1,000 live birthsDenmark: 0.003 index, 0 to 1, 4 per 1,000 live birthsDominican Republic: 0.417 index, 0 to 1, 30.6 per 1,000 live birthsAlgeria: 0.443 index, 0 to 1, 21.6 per 1,000 live birthsEcuador: 0.358 index, 0 to 1, 12.9 per 1,000 live birthsEgypt, Arab Rep.: 0.398 index, 0 to 1, 22.4 per 1,000 live birthsSpain: 0.043 index, 0 to 1, 3.2 per 1,000 live birthsEstonia: 0.061 index, 0 to 1, 2 per 1,000 live birthsEthiopia: 0.497 index, 0 to 1, 44.5 per 1,000 live birthsFinland: 0.021 index, 0 to 1, 2.4 per 1,000 live birthsFiji: 0.35 index, 0 to 1, 29.1 per 1,000 live birthsFrance: 0.034 index, 0 to 1, 4.3 per 1,000 live birthsGabon: 0.505 index, 0 to 1, 32.6 per 1,000 live birthsUnited Kingdom: 0.083 index, 0 to 1, 4.7 per 1,000 live birthsGeorgia: 0.257 index, 0 to 1, 8.6 per 1,000 live birthsGhana: 0.514 index, 0 to 1, 35.9 per 1,000 live birthsGuinea: 0.609 index, 0 to 1, 92.1 per 1,000 live birthsGambia, The: 0.578 index, 0 to 1, 42.4 per 1,000 live birthsGuinea-Bissau: 0.632 index, 0 to 1, 67.3 per 1,000 live birthsGreece: 0.103 index, 0 to 1, 3.8 per 1,000 live birthsGrenada: 0.226 index, 0 to 1, 18 per 1,000 live birthsGuatemala: 0.48 index, 0 to 1, 20.5 per 1,000 live birthsGuyana: 0.427 index, 0 to 1, 25.2 per 1,000 live birthsHonduras: 0.437 index, 0 to 1, 15 per 1,000 live birthsCroatia: 0.074 index, 0 to 1, 5.6 per 1,000 live birthsHaiti: 0.618 index, 0 to 1, 52.8 per 1,000 live birthsHungary: 0.213 index, 0 to 1, 3.7 per 1,000 live birthsIndonesia: 0.423 index, 0 to 1, 17.7 per 1,000 live birthsIndia: 0.403 index, 0 to 1, 26.6 per 1,000 live birthsIreland: 0.054 index, 0 to 1, 3.9 per 1,000 live birthsIran, Islamic Rep.: 0.482 index, 0 to 1, 11.3 per 1,000 live birthsIraq: 0.558 index, 0 to 1, 21.8 per 1,000 live birthsIceland: 0.024 index, 0 to 1, 2.8 per 1,000 live birthsIsrael: 0.08 index, 0 to 1, 3.3 per 1,000 live birthsItaly: 0.043 index, 0 to 1, 2.7 per 1,000 live birthsJamaica: 0.358 index, 0 to 1, 17.8 per 1,000 live birthsJordan: 0.433 index, 0 to 1, 12.9 per 1,000 live birthsJapan: 0.059 index, 0 to 1, 2.4 per 1,000 live birthsKazakhstan: 0.182 index, 0 to 1, 9.4 per 1,000 live birthsKenya: 0.526 index, 0 to 1, 38.8 per 1,000 live birthsKyrgyz Republic: 0.34 index, 0 to 1, 16.8 per 1,000 live birthsCambodia: 0.506 index, 0 to 1, 18.4 per 1,000 live birthsKorea, Rep.: 0.038 index, 0 to 1, 2.8 per 1,000 live birthsKuwait: 0.188 index, 0 to 1, 8.1 per 1,000 live birthsLao PDR: 0.475 index, 0 to 1, 29.4 per 1,000 live birthsLebanon: 0.36 index, 0 to 1, 17.6 per 1,000 live birthsLiberia: 0.646 index, 0 to 1, 86.4 per 1,000 live birthsLibya: 0.253 index, 0 to 1, 9.8 per 1,000 live birthsSt. Lucia: 0.327 index, 0 to 1, 17.2 per 1,000 live birthsSri Lanka: 0.367 index, 0 to 1, 5.9 per 1,000 live birthsLesotho: 0.534 index, 0 to 1, 60 per 1,000 live birthsLithuania: 0.07 index, 0 to 1, 3.4 per 1,000 live birthsLuxembourg: 0.044 index, 0 to 1, 2.2 per 1,000 live birthsLatvia: 0.117 index, 0 to 1, 2.5 per 1,000 live birthsMorocco: 0.438 index, 0 to 1, 15.7 per 1,000 live birthsMoldova: 0.146 index, 0 to 1, 16.5 per 1,000 live birthsMadagascar: 0.584 index, 0 to 1, 62.4 per 1,000 live birthsMaldives: 0.309 index, 0 to 1, 5.4 per 1,000 live birthsMexico: 0.358 index, 0 to 1, 13.1 per 1,000 live birthsNorth Macedonia: 0.112 index, 0 to 1, 2.8 per 1,000 live birthsMali: 0.612 index, 0 to 1, 73 per 1,000 live birthsMalta: 0.111 index, 0 to 1, 5.3 per 1,000 live birthsMyanmar: 0.478 index, 0 to 1, 36.9 per 1,000 live birthsMontenegro: 0.121 index, 0 to 1, 2.4 per 1,000 live birthsMongolia: 0.284 index, 0 to 1, 13.4 per 1,000 live birthsMozambique: 0.479 index, 0 to 1, 59.4 per 1,000 live birthsMauritania: 0.603 index, 0 to 1, 36.9 per 1,000 live birthsMauritius: 0.352 index, 0 to 1, 15.4 per 1,000 live birthsMalawi: 0.581 index, 0 to 1, 48.8 per 1,000 live birthsMalaysia: 0.172 index, 0 to 1, 8.3 per 1,000 live birthsNamibia: 0.448 index, 0 to 1, 39.5 per 1,000 live birthsNiger: 0.591 index, 0 to 1, 111 per 1,000 live birthsNigeria: 0.677 index, 0 to 1, 116 per 1,000 live birthsNicaragua: 0.408 index, 0 to 1, 11.2 per 1,000 live birthsNetherlands: 0.013 index, 0 to 1, 3.9 per 1,000 live birthsNorway: 0.004 index, 0 to 1, 2.5 per 1,000 live birthsNepal: 0.487 index, 0 to 1, 25.1 per 1,000 live birthsNew Zealand: 0.082 index, 0 to 1, 4.7 per 1,000 live birthsOman: 0.222 index, 0 to 1, 10.3 per 1,000 live birthsPakistan: 0.536 index, 0 to 1, 56 per 1,000 live birthsPanama: 0.374 index, 0 to 1, 15.3 per 1,000 live birthsPeru: 0.34 index, 0 to 1, 12.9 per 1,000 live birthsPhilippines: 0.351 index, 0 to 1, 26.5 per 1,000 live birthsPapua New Guinea: 0.584 index, 0 to 1, 39.4 per 1,000 live birthsPoland: 0.081 index, 0 to 1, 4.2 per 1,000 live birthsPortugal: 0.076 index, 0 to 1, 3.2 per 1,000 live birthsParaguay: 0.412 index, 0 to 1, 16.3 per 1,000 live birthsQatar: 0.195 index, 0 to 1, 5.9 per 1,000 live birthsRomania: 0.227 index, 0 to 1, 7.3 per 1,000 live birthsRussian Federation: 0.169 index, 0 to 1, 5.2 per 1,000 live birthsRwanda: 0.394 index, 0 to 1, 37.7 per 1,000 live birthsSaudi Arabia: 0.228 index, 0 to 1, 6 per 1,000 live birthsSudan: 0.588 index, 0 to 1, 61.6 per 1,000 live birthsSenegal: 0.49 index, 0 to 1, 36.5 per 1,000 live birthsSingapore: 0.031 index, 0 to 1, 2.7 per 1,000 live birthsSolomon Islands: 0.478 index, 0 to 1, 20 per 1,000 live birthsSierra Leone: 0.566 index, 0 to 1, 90.5 per 1,000 live birthsEl Salvador: 0.362 index, 0 to 1, 10 per 1,000 live birthsSomalia, Fed. Rep.: 0.675 index, 0 to 1, 101 per 1,000 live birthsSerbia: 0.117 index, 0 to 1, 5.4 per 1,000 live birthsSao Tome and Principe: 0.492 index, 0 to 1, 13.6 per 1,000 live birthsSuriname: 0.391 index, 0 to 1, 15.8 per 1,000 live birthsSlovak Republic: 0.176 index, 0 to 1, 6.3 per 1,000 live birthsSlovenia: 0.042 index, 0 to 1, 2.3 per 1,000 live birthsSweden: 0.007 index, 0 to 1, 2.4 per 1,000 live birthsEswatini: 0.484 index, 0 to 1, 45.1 per 1,000 live birthsSyrian Arab Republic: 0.49 index, 0 to 1, 18.4 per 1,000 live birthsChad: 0.67 index, 0 to 1, 97.3 per 1,000 live birthsTogo: 0.564 index, 0 to 1, 56.1 per 1,000 live birthsThailand: 0.288 index, 0 to 1, 9 per 1,000 live birthsTajikistan: 0.258 index, 0 to 1, 28.1 per 1,000 live birthsTimor-Leste: 0.394 index, 0 to 1, 47.6 per 1,000 live birthsTonga: 0.444 index, 0 to 1, 9.5 per 1,000 live birthsTrinidad and Tobago: 0.262 index, 0 to 1, 18.8 per 1,000 live birthsTunisia: 0.238 index, 0 to 1, 12.1 per 1,000 live birthsTurkiye: 0.227 index, 0 to 1, 9.6 per 1,000 live birthsTanzania: 0.504 index, 0 to 1, 37 per 1,000 live birthsUganda: 0.524 index, 0 to 1, 48.7 per 1,000 live birthsUruguay: 0.218 index, 0 to 1, 7.4 per 1,000 live birthsUnited States: 0.169 index, 0 to 1, 6.5 per 1,000 live birthsUzbekistan: 0.291 index, 0 to 1, 13.4 per 1,000 live birthsViet Nam: 0.299 index, 0 to 1, 17.3 per 1,000 live birthsVanuatu: 0.556 index, 0 to 1, 17.1 per 1,000 live birthsSamoa: 0.416 index, 0 to 1, 14.9 per 1,000 live birthsSouth Africa: 0.388 index, 0 to 1, 35.1 per 1,000 live birthsZambia: 0.524 index, 0 to 1, 48.4 per 1,000 live birthsZimbabwe: 0.519 index, 0 to 1, 64.7 per 1,000 live birthsDNKIRNIRQNERNGANORSLESOMSWEVUT

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.7981.2e-38169
By rank (Spearman), not adjusted+0.9254.9e-72169
Standard (Pearson), adjusted for national income+0.3601.7e-6169
By rank (Spearman), adjusted for national income+0.6611.9e-22169

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 169 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: +0.439 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.306 (without NGA) to +0.383 (without NER). 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: NGA (-0.054).

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 & Pacific23+0.20
Europe & Central Asia46+0.31
Latin America & Caribbean28+0.59
Middle East, North Africa, Afghanistan & Pakistan21+0.30
Sub-Saharan Africa43+0.70

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 third57+0.63
Middle third56+0.53
Richest third56+0.83

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
Christians101+0.35
Muslims47+0.46

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+0.47
Never a European colony20+0.29
Spain18+0.56
United Kingdom56+0.48

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 = +0.371 after dropping 8 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 = +0.039, 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 gender inequality index moved did not tend to see their under-5 mortality move with it.

Across countries (adjusted)+0.360for comparison
Within countries+0.491each country vs itself
…and vs the same year elsewhere+0.039q = 0.644 · 169 countries
Year-on-year changes+0.007q = 0.711
Read with care.
  • Much of the within-country association disappears once shared global year effects are removed, which points to a common worldwide trend rather than a country-level relationship.

4,592 country-years (one country in one year), 169 countries, 1990–2023, about 27 years each on average. Share of the variation that happens within countries over time: 13% for Gender Inequality Index, 19% for Under-5 mortality. 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

0.10−0.1-100+10years Under-5 mortality trails Gender Inequality Index →lag -10: r = -0.005 (n = 3,658)lag -9: r = -0.004 (n = 3,770)lag -8: r = 0.002 (n = 3,877)lag -7: r = 0.007 (n = 3,979)lag -6: r = 0.019 (n = 4,080)lag -5: r = 0.020 (n = 4,181)lag -4: r = 0.027 (n = 4,268)lag -3: r = 0.032 (n = 4,352)lag -2: r = 0.035 (n = 4,432)lag -1: r = 0.037 (n = 4,512)lag +0: r = 0.039 (n = 4,592)lag +1: r = 0.034 (n = 4,592)lag +2: r = 0.030 (n = 4,415)lag +3: r = 0.027 (n = 4,232)lag +4: r = 0.023 (n = 4,065)lag +5: r = 0.017 (n = 3,895)lag +6: r = 0.012 (n = 3,723)lag +7: r = 0.007 (n = 3,558)lag +8: r = 0.001 (n = 3,399)lag +9: r = -0.009 (n = 3,245)lag +10: r = -0.016 (n = 3,091)

Same year (lag 0): +0.039. 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


index, 0 to 1

per 1,000 live births
Years
Nigeria NGA0.6771162023, 2024
Somalia, Fed. Rep. SOM0.6751012023, 2024
Chad TCD0.6797.32023, 2024
Afghanistan AFG0.661532023, 2024
Liberia LBR0.64686.42023, 2024
Guinea-Bissau GNB0.63267.32023, 2024
Haiti HTI0.61852.82023, 2024
Mali MLI0.612732023, 2024
Guinea GIN0.60992.12023, 2024
Congo, Dem. Rep. COD0.60489.72023, 2024
Mauritania MRT0.60336.92023, 2024
Niger NER0.5911112023, 2024
Cote d'Ivoire CIV0.58964.52023, 2024
Sudan SDN0.58861.62023, 2024
Papua New Guinea PNG0.58439.42023, 2024

United Nations Development Programme, Human Development Report 2025
World Bank, World Development Indicators

Sources

Gender Inequality Index

Gender Inequality Index

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

Built from deaths in childbirth, births to teenagers, seats in parliament, secondary schooling, and the share of women and men in the workforce. Five of those inputs are on the site and flagged. It is kept out of the gender score, for the same reason the HDI is kept out of the economy score.

Under-5 mortality

Mortality rate, under-5 (per 1,000 live births)

World Bank · CC BY 4.0 · updated quarterly

How this was computed

Data used: most recent value in 2010-2025; values come from 2023–2024. 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 Gender Inequality Index and Under-5 mortality

This page shows that two measures go together. It does not show that Gender Inequality Index changes Under-5 mortality, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Gender Inequality Index or Under-5 mortality