placestats

Life satisfaction vs. One-person households

Fades after adjusting for income

Across 133 countries, Life satisfaction and One-person households rise and fall together at r = +0.59 (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 = 0.65, 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. Caution: direction is not consistent across regions.

Comparing countries across the middle half of one-person households, 6.92% to 22.6% of households, life satisfaction is better by 1.02 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.125 points.

Link before adjusting (r)+0.593p = 5.2e-14 · 133 countries
After adjusting for national income+0.092p = 0.296 · likely range [-0.08, +0.26]
p, allowing for regions0.479standard error 0.121 · 7 regions
Check for luck (q)0.651across 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.

Life satisfaction · score (0-10)link with income +0.81 · 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

Life satisfaction · score (0-10) →One-person households · % of households →1.457.760.19%41.1%Afghanistan: 1.45 score (0-10), 0.19% of householdsAngola: 3.79 score (0-10), 10.8% of householdsAlbania: 5.66 score (0-10), 9.95% of householdsArgentina: 6.43 score (0-10), 22.8% of householdsArmenia: 5.58 score (0-10), 15.2% of householdsAustralia: 6.92 score (0-10), 22.8% of householdsAustria: 6.84 score (0-10), 36.3% of householdsBurundi: 3.77 score (0-10), 6.04% of householdsBelgium: 6.93 score (0-10), 34% of householdsBenin: 4.39 score (0-10), 9.78% of householdsBurkina Faso: 4.46 score (0-10), 6.64% of householdsBangladesh: 4.32 score (0-10), 2.85% of householdsBulgaria: 5.7 score (0-10), 30.8% of householdsBosnia and Herzegovina: 6.38 score (0-10), 11.5% of householdsBelarus: 5.82 score (0-10), 38% of householdsBelize: 6.71 score (0-10), 17.2% of householdsBolivia: 5.83 score (0-10), 20.5% of householdsBrazil: 6.63 score (0-10), 12% of householdsBhutan: 5.08 score (0-10), 6.13% of householdsCentral African Republic: 3.48 score (0-10), 6.2% of householdsCanada: 6.74 score (0-10), 28.2% of householdsChile: 6.3 score (0-10), 20.2% of householdsCote d'Ivoire: 5.15 score (0-10), 17% of householdsCameroon: 5.08 score (0-10), 15.3% of householdsCongo, Dem. Rep.: 3.76 score (0-10), 7.55% of householdsCongo, Rep.: 4.46 score (0-10), 13.8% of householdsColombia: 6.04 score (0-10), 11.1% of householdsComoros: 3.92 score (0-10), 4.91% of householdsCosta Rica: 7.44 score (0-10), 12.1% of householdsCyprus: 6.13 score (0-10), 20.8% of householdsCzechia: 6.82 score (0-10), 32.5% of householdsGermany: 6.88 score (0-10), 37.3% of householdsDominican Republic: 6.09 score (0-10), 20.1% of householdsAlgeria: 5.71 score (0-10), 1.61% of householdsEgypt, Arab Rep.: 3.86 score (0-10), 6.48% of householdsSpain: 6.54 score (0-10), 23.2% of householdsEthiopia: 3.98 score (0-10), 6.36% of householdsFinland: 7.76 score (0-10), 41% of householdsFrance: 6.59 score (0-10), 35.5% of householdsGabon: 5.17 score (0-10), 22.4% of householdsUnited Kingdom: 6.69 score (0-10), 30.6% of householdsGeorgia: 5.52 score (0-10), 15% of householdsGhana: 4.55 score (0-10), 21.5% of householdsGuinea: 4.61 score (0-10), 5.07% of householdsGambia, The: 4.31 score (0-10), 9.72% of householdsGreece: 5.7 score (0-10), 25.7% of householdsGuatemala: 6.53 score (0-10), 4.33% of householdsGuyana: 5.99 score (0-10), 15.8% of householdsHong Kong SAR, China: 5.57 score (0-10), 18.3% of householdsHonduras: 6.1 score (0-10), 10.4% of householdsCroatia: 6.01 score (0-10), 24.6% of householdsHaiti: 3.62 score (0-10), 9.43% of householdsHungary: 5.94 score (0-10), 32.1% of householdsIndonesia: 5.62 score (0-10), 7.1% of householdsIndia: 4.54 score (0-10), 5.11% of householdsIreland: 6.93 score (0-10), 22% of householdsIran, Islamic Rep.: 5.15 score (0-10), 7.16% of householdsIraq: 5.21 score (0-10), 1.01% of householdsItaly: 6.57 score (0-10), 31.1% of householdsJamaica: 6.3 score (0-10), 28.2% of householdsJordan: 4.48 score (0-10), 4.36% of householdsJapan: 6.13 score (0-10), 34.5% of householdsKazakhstan: 6.63 score (0-10), 15.5% of householdsKenya: 4.67 score (0-10), 19.4% of householdsKyrgyz Republic: 6.05 score (0-10), 12.3% of householdsCambodia: 4.46 score (0-10), 3.37% of householdsKorea, Rep.: 6.04 score (0-10), 31.8% of householdsLao PDR: 5.51 score (0-10), 3.18% of householdsLiberia: 4.28 score (0-10), 12% of householdsLesotho: 4.38 score (0-10), 18% of householdsLithuania: 6.7 score (0-10), 31.7% of householdsLuxembourg: 7.06 score (0-10), 33.3% of householdsLatvia: 6.37 score (0-10), 41.1% of householdsMorocco: 4.65 score (0-10), 7.2% of householdsMoldova: 5.85 score (0-10), 22.6% of householdsMadagascar: 4.17 score (0-10), 7.11% of householdsMaldives: 5.2 score (0-10), 4.49% of householdsMexico: 6.97 score (0-10), 10.1% of householdsNorth Macedonia: 5.72 score (0-10), 11.8% of householdsMali: 4.59 score (0-10), 3.11% of householdsMalta: 6.44 score (0-10), 22.6% of householdsMyanmar: 4.29 score (0-10), 5.35% of householdsMontenegro: 6.14 score (0-10), 15.4% of householdsMongolia: 5.94 score (0-10), 8.96% of householdsMozambique: 5.34 score (0-10), 8.41% of householdsMauritania: 4.47 score (0-10), 3.97% of householdsMalawi: 3.28 score (0-10), 7.2% of householdsNamibia: 4.78 score (0-10), 17.4% of householdsNiger: 4.94 score (0-10), 3.19% of householdsNigeria: 4.79 score (0-10), 14.7% of householdsNorway: 7.24 score (0-10), 39.6% of householdsNepal: 5.15 score (0-10), 4.51% of householdsNew Zealand: 7 score (0-10), 21.9% of householdsPakistan: 4.87 score (0-10), 1.08% of householdsPanama: 6.55 score (0-10), 13.4% of householdsPeru: 5.97 score (0-10), 16.8% of householdsPhilippines: 6.21 score (0-10), 9.18% of householdsPoland: 6.77 score (0-10), 24% of householdsPuerto Rico (US): 7.04 score (0-10), 23.1% of householdsPortugal: 6.03 score (0-10), 21.4% of householdsParaguay: 6.2 score (0-10), 10.4% of householdsWest Bank and Gaza: 4.69 score (0-10), 4.31% of householdsQatar: 6.37 score (0-10), 6.98% of householdsRomania: 6.63 score (0-10), 26% of householdsRussian Federation: 5.83 score (0-10), 25.7% of householdsRwanda: 3.27 score (0-10), 7.69% of householdsSudan: 4.14 score (0-10), 1.59% of householdsSenegal: 4.79 score (0-10), 6.92% of householdsSingapore: 6.58 score (0-10), 16.1% of householdsSierra Leone: 3.25 score (0-10), 6.42% of householdsEl Salvador: 6.58 score (0-10), 8.46% of householdsSomalia, Fed. Rep.: 4.51 score (0-10), 1.53% of householdsSerbia: 6.69 score (0-10), 21.8% of householdsSuriname: 6.27 score (0-10), 14% of householdsSlovak Republic: 6.25 score (0-10), 25.3% of householdsSlovenia: 6.87 score (0-10), 32.6% of householdsEswatini: 3.91 score (0-10), 21.7% of householdsChad: 4.38 score (0-10), 5.43% of householdsTogo: 4.28 score (0-10), 15.7% of householdsThailand: 6.3 score (0-10), 21.6% of householdsTajikistan: 5.59 score (0-10), 2.88% of householdsTurkmenistan: 5.47 score (0-10), 3.74% of householdsTunisia: 4.8 score (0-10), 6.27% of householdsTanzania: 3.9 score (0-10), 9.63% of householdsUganda: 4.49 score (0-10), 13.2% of householdsUkraine: 4.66 score (0-10), 25% of householdsUruguay: 6.63 score (0-10), 17.6% of householdsUnited States: 6.82 score (0-10), 27.9% of householdsViet Nam: 6.43 score (0-10), 10.5% of householdsKosovo: 6.91 score (0-10), 3.32% of householdsSouth Africa: 5.01 score (0-10), 23.8% of householdsZambia: 4.11 score (0-10), 7.97% of householdsZimbabwe: 3.35 score (0-10), 12.9% of householdsAFGBLRCRIDEUFINGTMMWINORSLESWZXKX

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.5935.2e-14133
By rank (Spearman), not adjusted+0.5983.0e-14133
Standard (Pearson), adjusted for national income+0.0920.296133
By rank (Spearman), adjusted for national income+0.0440.617133

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 133 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: +0.502 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.062 (without FIN) to +0.120 (without XKX). 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: FIN (-0.029).

Fragile: this link may not hold up.
  • direction is not consistent across regions

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 & Pacific14+0.10
Europe & Central Asia40+0.07
Latin America & Caribbean21-0.10
Middle East, North Africa, Afghanistan & Pakistan12-0.03
Sub-Saharan Africa39+0.14

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 third45+0.09
Middle third44+0.03
Richest third44+0.18

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
Christians82-0.09
Muslims35+0.20

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
France22-0.13
Never a European colony15+0.03
Spain16-0.32
United Kingdom35+0.35

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 = +0.082 after dropping 1 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


score (0-10)

% of households
Years
Finland FIN7.7641%2025, 2010
Costa Rica CRI7.4412.1%2025, 2018
Norway NOR7.2439.6%2025, 2011
Luxembourg LUX7.0633.3%2025, 2011
Puerto Rico (US) PRI7.0423.1%2015, 2010
New Zealand NZL721.9%2025, 2018
Mexico MEX6.9710.1%2025, 2015
Ireland IRL6.9322%2025, 2016
Belgium BEL6.9334%2025, 2011
Australia AUS6.9222.8%2025, 2016
Kosovo XKX6.913.32%2025, 2019
Germany DEU6.8837.3%2025, 2011
Slovenia SVN6.8732.6%2025, 2015
Austria AUT6.8436.3%2025, 2011
Czechia CZE6.8232.5%2025, 2011

Helliwell, J. et al., World Happiness Report; underlying data Gallup World Poll
United Nations, Department of Economic and Social Affairs, Population Division (2022). Database on Household Size and Composition 2022.

Sources

Life satisfaction

Life satisfaction (Cantril ladder score)

Gallup / World Happiness Report · via Our World in Data · CC BY 4.0 · updated annual

The national average answer to the "Cantril ladder" question: "Please imagine a ladder, with steps numbered from 0 at the bottom to 10 at the top...". It is a direct survey measure, not a combined index. The six factors the World Happiness Report uses to explain the ladder are not part of it. Values are usually three-year rolling averages of the Gallup World Poll. So each year's value overlaps with the next, and they are not separate readings.

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 2010–2025. 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 12,497 pairs at once, using the Benjamini–Hochberg method. Underlying data last updated DYB 2024. How the country data works · explore Life satisfaction and One-person households

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

More links with Life satisfaction or One-person households