placestats

Inequality-adjusted HDI vs. One-person households

Fades after adjusting for income

Across 138 countries, Inequality-adjusted HDI and One-person households rise and fall together at r = +0.72 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.22, which could easily be chance (q = 0.11, 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 one-person households, 6.52% to 22.6% of households, inequality-adjusted hdi is better by 0.219 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.034 points.

Link before adjusting (r)+0.717p = 4.3e-23 · 138 countries
After adjusting for national income+0.222p = 0.009 · likely range [+0.06, +0.38]
p, allowing for regions0.117standard error 0.121 · 7 regions
Check for luck (q)0.113across 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.

Inequality-adjusted HDI · index, 0 to 1link with income +0.94 · proxy
One-person households · % of householdslink with income +0.70 · 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

Inequality-adjusted HDI · index, 0 to 1 →One-person households · % of households →0.2290.9090.19%41.1%Afghanistan: 0.321 index, 0 to 1, 0.19% of householdsAngola: 0.36 index, 0 to 1, 10.8% of householdsAlbania: 0.705 index, 0 to 1, 9.95% of householdsArgentina: 0.761 index, 0 to 1, 22.8% of householdsArmenia: 0.743 index, 0 to 1, 15.2% of householdsAustralia: 0.873 index, 0 to 1, 22.8% of householdsAustria: 0.861 index, 0 to 1, 36.3% of householdsBurundi: 0.286 index, 0 to 1, 6.04% of householdsBelgium: 0.891 index, 0 to 1, 34% of householdsBenin: 0.316 index, 0 to 1, 9.78% of householdsBurkina Faso: 0.273 index, 0 to 1, 6.64% of householdsBangladesh: 0.482 index, 0 to 1, 2.85% of householdsBulgaria: 0.748 index, 0 to 1, 30.8% of householdsBahamas, The: 0.67 index, 0 to 1, 17.7% of householdsBosnia and Herzegovina: 0.689 index, 0 to 1, 11.5% of householdsBelarus: 0.771 index, 0 to 1, 38% of householdsBolivia: 0.578 index, 0 to 1, 20.5% of householdsBrazil: 0.594 index, 0 to 1, 12% of householdsBarbados: 0.62 index, 0 to 1, 26.3% of householdsBrunei Darussalam: 0.756 index, 0 to 1, 7.22% of householdsBhutan: 0.478 index, 0 to 1, 6.13% of householdsCentral African Republic: 0.253 index, 0 to 1, 6.2% of householdsCanada: 0.867 index, 0 to 1, 28.2% of householdsChile: 0.723 index, 0 to 1, 20.2% of householdsCote d'Ivoire: 0.35 index, 0 to 1, 17% of householdsCameroon: 0.361 index, 0 to 1, 15.3% of householdsCongo, Dem. Rep.: 0.341 index, 0 to 1, 7.55% of householdsCongo, Rep.: 0.426 index, 0 to 1, 13.8% of householdsColombia: 0.593 index, 0 to 1, 11.1% of householdsComoros: 0.356 index, 0 to 1, 4.91% of householdsCosta Rica: 0.678 index, 0 to 1, 12.1% of householdsCyprus: 0.841 index, 0 to 1, 20.8% of householdsCzechia: 0.867 index, 0 to 1, 32.5% of householdsGermany: 0.89 index, 0 to 1, 37.3% of householdsDominican Republic: 0.634 index, 0 to 1, 20.1% of householdsAlgeria: 0.601 index, 0 to 1, 1.61% of householdsEgypt, Arab Rep.: 0.582 index, 0 to 1, 6.48% of householdsSpain: 0.819 index, 0 to 1, 23.2% of householdsEthiopia: 0.326 index, 0 to 1, 6.36% of householdsFinland: 0.891 index, 0 to 1, 41% of householdsFiji: 0.626 index, 0 to 1, 5.94% of householdsFrance: 0.836 index, 0 to 1, 35.5% of householdsGabon: 0.558 index, 0 to 1, 22.4% of householdsUnited Kingdom: 0.869 index, 0 to 1, 30.6% of householdsGeorgia: 0.754 index, 0 to 1, 15% of householdsGhana: 0.399 index, 0 to 1, 21.5% of householdsGuinea: 0.302 index, 0 to 1, 5.07% of householdsGambia, The: 0.329 index, 0 to 1, 9.72% of householdsGuinea-Bissau: 0.331 index, 0 to 1, 4.14% of householdsGreece: 0.825 index, 0 to 1, 25.7% of householdsGuatemala: 0.479 index, 0 to 1, 4.33% of householdsHong Kong SAR, China: 0.839 index, 0 to 1, 18.3% of householdsHonduras: 0.496 index, 0 to 1, 10.4% of householdsCroatia: 0.828 index, 0 to 1, 24.6% of householdsHaiti: 0.337 index, 0 to 1, 9.43% of householdsHungary: 0.819 index, 0 to 1, 32.1% of householdsIndonesia: 0.608 index, 0 to 1, 7.1% of householdsIndia: 0.475 index, 0 to 1, 5.11% of householdsIreland: 0.886 index, 0 to 1, 22% of householdsIran, Islamic Rep.: 0.643 index, 0 to 1, 7.16% of householdsIraq: 0.534 index, 0 to 1, 1.01% of householdsItaly: 0.817 index, 0 to 1, 31.1% of householdsJamaica: 0.59 index, 0 to 1, 28.2% of householdsJordan: 0.637 index, 0 to 1, 4.36% of householdsJapan: 0.845 index, 0 to 1, 34.5% of householdsKazakhstan: 0.766 index, 0 to 1, 15.5% of householdsKenya: 0.456 index, 0 to 1, 19.4% of householdsKyrgyz Republic: 0.649 index, 0 to 1, 12.3% of householdsCambodia: 0.444 index, 0 to 1, 3.37% of householdsKiribati: 0.535 index, 0 to 1, 3.71% of householdsKorea, Rep.: 0.857 index, 0 to 1, 31.8% of householdsLao PDR: 0.462 index, 0 to 1, 3.18% of householdsLiberia: 0.326 index, 0 to 1, 12% of householdsSt. Lucia: 0.523 index, 0 to 1, 26.8% of householdsLesotho: 0.357 index, 0 to 1, 18% of householdsLithuania: 0.812 index, 0 to 1, 31.7% of householdsLuxembourg: 0.838 index, 0 to 1, 33.3% of householdsLatvia: 0.812 index, 0 to 1, 41.1% of householdsMorocco: 0.517 index, 0 to 1, 7.2% of householdsMoldova: 0.719 index, 0 to 1, 22.6% of householdsMadagascar: 0.319 index, 0 to 1, 7.11% of householdsMaldives: 0.602 index, 0 to 1, 4.49% of householdsMexico: 0.646 index, 0 to 1, 10.1% of householdsNorth Macedonia: 0.723 index, 0 to 1, 11.8% of householdsMali: 0.281 index, 0 to 1, 3.11% of householdsMalta: 0.843 index, 0 to 1, 22.6% of householdsMyanmar: 0.477 index, 0 to 1, 5.35% of householdsMontenegro: 0.771 index, 0 to 1, 15.4% of householdsMongolia: 0.647 index, 0 to 1, 8.96% of householdsMozambique: 0.297 index, 0 to 1, 8.41% of householdsMauritania: 0.374 index, 0 to 1, 3.97% of householdsMalawi: 0.365 index, 0 to 1, 7.2% of householdsNamibia: 0.438 index, 0 to 1, 17.4% of householdsNiger: 0.265 index, 0 to 1, 3.19% of householdsNigeria: 0.379 index, 0 to 1, 14.7% of householdsNorway: 0.909 index, 0 to 1, 39.6% of householdsNepal: 0.437 index, 0 to 1, 4.51% of householdsNew Zealand: 0.853 index, 0 to 1, 21.9% of householdsPakistan: 0.364 index, 0 to 1, 1.08% of householdsPanama: 0.664 index, 0 to 1, 13.4% of householdsPeru: 0.633 index, 0 to 1, 16.8% of householdsPhilippines: 0.597 index, 0 to 1, 9.18% of householdsPoland: 0.817 index, 0 to 1, 24% of householdsPortugal: 0.795 index, 0 to 1, 21.4% of householdsParaguay: 0.599 index, 0 to 1, 10.4% of householdsWest Bank and Gaza: 0.538 index, 0 to 1, 4.31% of householdsRomania: 0.758 index, 0 to 1, 26% of householdsRussian Federation: 0.758 index, 0 to 1, 25.7% of householdsRwanda: 0.399 index, 0 to 1, 7.69% of householdsSudan: 0.328 index, 0 to 1, 1.59% of householdsSenegal: 0.34 index, 0 to 1, 6.92% of householdsSingapore: 0.823 index, 0 to 1, 16.1% of householdsSierra Leone: 0.281 index, 0 to 1, 6.42% of householdsEl Salvador: 0.555 index, 0 to 1, 8.46% of householdsSomalia, Fed. Rep.: 0.229 index, 0 to 1, 1.53% of householdsSerbia: 0.772 index, 0 to 1, 21.8% of householdsSao Tome and Principe: 0.478 index, 0 to 1, 13.8% of householdsSlovak Republic: 0.833 index, 0 to 1, 25.3% of householdsSlovenia: 0.885 index, 0 to 1, 32.6% of householdsEswatini: 0.431 index, 0 to 1, 21.7% of householdsChad: 0.252 index, 0 to 1, 5.43% of householdsTogo: 0.363 index, 0 to 1, 15.7% of householdsThailand: 0.677 index, 0 to 1, 21.6% of householdsTajikistan: 0.594 index, 0 to 1, 2.88% of householdsTimor-Leste: 0.451 index, 0 to 1, 6.41% of householdsTonga: 0.682 index, 0 to 1, 6.94% of householdsTunisia: 0.595 index, 0 to 1, 6.27% of householdsTuvalu: 0.578 index, 0 to 1, 6.92% of householdsTanzania: 0.391 index, 0 to 1, 9.63% of householdsUganda: 0.4 index, 0 to 1, 13.2% of householdsUkraine: 0.715 index, 0 to 1, 25% of householdsUruguay: 0.747 index, 0 to 1, 17.6% of householdsUnited States: 0.832 index, 0 to 1, 27.9% of householdsViet Nam: 0.641 index, 0 to 1, 10.5% of householdsSamoa: 0.609 index, 0 to 1, 4.4% of householdsSouth Africa: 0.476 index, 0 to 1, 23.8% of householdsZambia: 0.361 index, 0 to 1, 7.97% of householdsZimbabwe: 0.406 index, 0 to 1, 12.9% of householdsAFGBRNDEUDZAFINGHAJORLCALSONERNORSOM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.7174.3e-23138
By rank (Spearman), not adjusted+0.7092.3e-22138
Standard (Pearson), adjusted for national income+0.2220.009138
By rank (Spearman), adjusted for national income+0.1130.188138

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 138 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: +0.495 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.198 (without BRN) to +0.245 (without LCA). 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: BRN (-0.024).

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 & Pacific21+0.58
Europe & Central Asia38+0.49
Latin America & Caribbean20+0.20
Sub-Saharan Africa41+0.49

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 third46-0.06
Middle third46-0.11
Richest third46+0.63

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
Christians87+0.12
Muslims34-0.12

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
France22-0.14
Never a European colony14+0.06
Spain16+0.66
United Kingdom41-0.08

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 = +0.222 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 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


index, 0 to 1

% of households
Years
Norway NOR0.90939.6%2023, 2011
Finland FIN0.89141%2023, 2010
Belgium BEL0.89134%2023, 2011
Germany DEU0.8937.3%2023, 2011
Ireland IRL0.88622%2023, 2016
Slovenia SVN0.88532.6%2023, 2015
Australia AUS0.87322.8%2023, 2016
United Kingdom GBR0.86930.6%2023, 2011
Czechia CZE0.86732.5%2023, 2011
Canada CAN0.86728.2%2023, 2016
Austria AUT0.86136.3%2023, 2011
Korea, Rep. KOR0.85731.8%2023, 2020
New Zealand NZL0.85321.9%2023, 2018
Japan JPN0.84534.5%2023, 2015
Malta MLT0.84322.6%2023, 2011

United Nations Development Programme, Human Development Report 2025
United Nations, Department of Economic and Social Affairs, Population Division (2022). Database on Household Size and Composition 2022.

Sources

Inequality-adjusted HDI

Inequality-adjusted Human Development Index

United Nations Development Programme, Human Development Report Office · via Our World in Data · CC BY 3.0 IGO · updated annual · comparable from 2010 only

The HDI marked down for how unequally each of its three parts is spread within the country. The gap between this and the HDI is what inequality costs, and that is the number worth reading. The level itself is the HDI again, with its parts flagged the same way.

One-person households

Share of one-person households

United Nations Department of Economic and Social Affairs, Population Division · via Our World in Data · CC BY 3.0 IGO · updated irregular (2017, 2019 and 2022 editions)

Households of one person, from the same UN collection as the single-parent share and with the same limits: one to three readings per country, from sources that sort households differently, and few after 2019. It rises with age and with income, and falls with family size. That is three different things in one number. No "better" direction is set.

How this was computed

Data used: most recent value in 2010-2025; values come from 2010–2023. 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 Inequality-adjusted HDI and One-person households

This page shows that two measures go together. It does not show that Inequality-adjusted HDI changes One-person households, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Inequality-adjusted HDI or One-person households