placestats

One-person households vs. Suicide rate

Fades after adjusting for income

Across 142 countries, One-person households and Suicide rate rise and fall together at r = +0.51 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) leaves r = +0.45, which could easily be chance (q = 0.067, allowing for the many pairs tested, and allowing for countries in the same region being alike). Caution: direction is not consistent across regions.

Comparing countries across the middle half of one-person households, 6.52% to 22.6% of households, suicide rate is worse by 4.89 per 100,000 at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 5.52 per 100,000.

Link before adjusting (r)+0.513p = 7.0e-11 · 142 countries
After adjusting for national income+0.445p = 3.1e-8 · likely range [+0.30, +0.57]
p, allowing for regions0.009standard error 0.116 · 7 regions
Check for luck (q)0.067across 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.

One-person households · % of householdslink with income +0.70 · high
Suicide rate · per 100,000link with income +0.23 · independent

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

Every country as a dot

One-person households · % of households →Suicide rate · per 100,000 →0.19%41.1%0.628.7Afghanistan: 0.19% of households, 3.6 per 100,000Angola: 10.8% of households, 8.11 per 100,000Albania: 9.95% of households, 2.75 per 100,000Argentina: 22.8% of households, 7.94 per 100,000Armenia: 15.2% of households, 2.46 per 100,000Australia: 22.8% of households, 13.1 per 100,000Austria: 36.3% of households, 14.5 per 100,000Burundi: 6.04% of households, 7.65 per 100,000Belgium: 34% of households, 18.4 per 100,000Benin: 9.78% of households, 7.12 per 100,000Burkina Faso: 6.64% of households, 8.5 per 100,000Bangladesh: 2.85% of households, 2.81 per 100,000Bulgaria: 30.8% of households, 9.51 per 100,000Bahamas, The: 17.7% of households, 3.25 per 100,000Bosnia and Herzegovina: 11.5% of households, 8.97 per 100,000Belarus: 38% of households, 15.6 per 100,000Belize: 17.2% of households, 4.18 per 100,000Bolivia: 20.5% of households, 4.2 per 100,000Brazil: 12% of households, 7.59 per 100,000Barbados: 26.3% of households, 3.5 per 100,000Brunei Darussalam: 7.22% of households, 3.05 per 100,000Bhutan: 6.13% of households, 4.9 per 100,000Central African Republic: 6.2% of households, 9.19 per 100,000Canada: 28.2% of households, 9.44 per 100,000Chile: 20.2% of households, 7.69 per 100,000Cote d'Ivoire: 17% of households, 7.39 per 100,000Cameroon: 15.3% of households, 8.5 per 100,000Congo, Dem. Rep.: 7.55% of households, 8.77 per 100,000Congo, Rep.: 13.8% of households, 6.71 per 100,000Colombia: 11.1% of households, 4.96 per 100,000Comoros: 4.91% of households, 6 per 100,000Costa Rica: 12.1% of households, 8.06 per 100,000Cyprus: 20.8% of households, 3.02 per 100,000Czechia: 32.5% of households, 13.3 per 100,000Germany: 37.3% of households, 12.9 per 100,000Dominican Republic: 20.1% of households, 4.2 per 100,000Algeria: 1.61% of households, 2.18 per 100,000Egypt, Arab Rep.: 6.48% of households, 0.63 per 100,000Spain: 23.2% of households, 8.72 per 100,000Ethiopia: 6.36% of households, 6.07 per 100,000Finland: 41% of households, 14.6 per 100,000Fiji: 5.94% of households, 8.27 per 100,000France: 35.5% of households, 16.6 per 100,000Gabon: 22.4% of households, 7.3 per 100,000United Kingdom: 30.6% of households, 9.55 per 100,000Georgia: 15% of households, 5.1 per 100,000Ghana: 21.5% of households, 5.32 per 100,000Guinea: 5.07% of households, 4.82 per 100,000Gambia, The: 9.72% of households, 4.81 per 100,000Guinea-Bissau: 4.14% of households, 7.67 per 100,000Greece: 25.7% of households, 4.68 per 100,000Guatemala: 4.33% of households, 4.94 per 100,000Guyana: 15.8% of households, 24.8 per 100,000Honduras: 10.4% of households, 2.97 per 100,000Croatia: 24.6% of households, 15.7 per 100,000Haiti: 9.43% of households, 7.81 per 100,000Hungary: 32.1% of households, 16.4 per 100,000Indonesia: 7.1% of households, 1.2 per 100,000India: 5.11% of households, 12.6 per 100,000Ireland: 22% of households, 8.55 per 100,000Iran, Islamic Rep.: 7.16% of households, 4.07 per 100,000Iraq: 1.01% of households, 2.97 per 100,000Italy: 31.1% of households, 6.99 per 100,000Jamaica: 28.2% of households, 1.69 per 100,000Jordan: 4.36% of households, 0.6 per 100,000Japan: 34.5% of households, 17.4 per 100,000Kazakhstan: 15.5% of households, 14.6 per 100,000Kenya: 19.4% of households, 4.58 per 100,000Kyrgyz Republic: 12.3% of households, 6.8 per 100,000Cambodia: 3.37% of households, 4.5 per 100,000Kiribati: 3.71% of households, 17.5 per 100,000Korea, Rep.: 31.8% of households, 27.5 per 100,000Lao PDR: 3.18% of households, 4.58 per 100,000Liberia: 12% of households, 5.97 per 100,000St. Lucia: 26.8% of households, 5.27 per 100,000Lesotho: 18% of households, 28.7 per 100,000Lithuania: 31.7% of households, 22.1 per 100,000Luxembourg: 33.3% of households, 8.22 per 100,000Latvia: 41.1% of households, 15.2 per 100,000Morocco: 7.2% of households, 2.91 per 100,000Moldova: 22.6% of households, 14.1 per 100,000Madagascar: 7.11% of households, 6.09 per 100,000Maldives: 4.49% of households, 1.47 per 100,000Mexico: 10.1% of households, 6.95 per 100,000North Macedonia: 11.8% of households, 5.78 per 100,000Mali: 3.11% of households, 4.16 per 100,000Malta: 22.6% of households, 6.47 per 100,000Myanmar: 5.35% of households, 2.89 per 100,000Montenegro: 15.4% of households, 11.3 per 100,000Mongolia: 8.96% of households, 18.5 per 100,000Mozambique: 8.41% of households, 10.6 per 100,000Mauritania: 3.97% of households, 2.71 per 100,000Malawi: 7.2% of households, 7.57 per 100,000Namibia: 17.4% of households, 8.59 per 100,000Niger: 3.19% of households, 4.48 per 100,000Nigeria: 14.7% of households, 4.99 per 100,000Norway: 39.6% of households, 13.2 per 100,000Nepal: 4.51% of households, 10.1 per 100,000New Zealand: 21.9% of households, 11.9 per 100,000Pakistan: 1.08% of households, 5.64 per 100,000Panama: 13.4% of households, 3.29 per 100,000Peru: 16.8% of households, 1.54 per 100,000Philippines: 9.18% of households, 3.49 per 100,000Poland: 24% of households, 13.7 per 100,000Puerto Rico (US): 23.1% of households, 5.42 per 100,000Portugal: 21.4% of households, 11.5 per 100,000Paraguay: 10.4% of households, 6.36 per 100,000West Bank and Gaza: 4.31% of households, 0.65 per 100,000Qatar: 6.98% of households, 4.7 per 100,000Romania: 26% of households, 9.62 per 100,000Russian Federation: 25.7% of households, 21.4 per 100,000Rwanda: 7.69% of households, 8.68 per 100,000Sudan: 1.59% of households, 3.16 per 100,000Senegal: 6.92% of households, 6.76 per 100,000Singapore: 16.1% of households, 8.1 per 100,000Sierra Leone: 6.42% of households, 6.14 per 100,000El Salvador: 8.46% of households, 7.63 per 100,000Somalia, Fed. Rep.: 1.53% of households, 7.96 per 100,000Serbia: 21.8% of households, 15.1 per 100,000Sao Tome and Principe: 13.8% of households, 0.86 per 100,000Suriname: 14% of households, 22.3 per 100,000Slovak Republic: 25.3% of households, 9.91 per 100,000Slovenia: 32.6% of households, 18.9 per 100,000Eswatini: 21.7% of households, 27.2 per 100,000Chad: 5.43% of households, 5.21 per 100,000Togo: 15.7% of households, 9.34 per 100,000Thailand: 21.6% of households, 16.6 per 100,000Tajikistan: 2.88% of households, 2.43 per 100,000Turkmenistan: 3.74% of households, 6.83 per 100,000Timor-Leste: 6.41% of households, 3.56 per 100,000Tonga: 6.94% of households, 4.73 per 100,000Tunisia: 6.27% of households, 1.84 per 100,000Tanzania: 9.63% of households, 5.1 per 100,000Uganda: 13.2% of households, 5.5 per 100,000Ukraine: 25% of households, 21.2 per 100,000Uruguay: 17.6% of households, 24.8 per 100,000United States: 27.9% of households, 15.6 per 100,000Viet Nam: 10.5% of households, 7.3 per 100,000Samoa: 4.4% of households, 12 per 100,000South Africa: 23.8% of households, 22.3 per 100,000Zambia: 7.97% of households, 7.13 per 100,000Zimbabwe: 12.9% of households, 17.3 per 100,000BRBDZAGUYJAMJORKIRKORLSOLTULUXPSESWZ

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.5137.0e-11142
By rank (Spearman), not adjusted+0.5347.5e-12142
Standard (Pearson), adjusted for national income+0.4453.1e-8142
By rank (Spearman), adjusted for national income+0.4571.3e-8142

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 142 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: +0.067 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.428 (without LSO) to +0.480 (without GUY). 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: GUY (+0.034).

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 & Pacific19+0.66
Europe & Central Asia39+0.55
Latin America & Caribbean24-0.26
Middle East, North Africa, Afghanistan & Pakistan12+0.27
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 third48+0.37
Middle third47+0.38
Richest third47+0.40

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
Christians91+0.31
Muslims36+0.52

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+0.81
Never a European colony15+0.52
Spain16+0.00
United Kingdom43+0.31

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 = +0.480 after dropping 5 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 22years. 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 = +0.183, 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 one-person households moved did not tend to see their suicide rate move with it.

Across countries (adjusted)+0.445for comparison
Within countries+0.152each country vs itself
…and vs the same year elsewhere+0.183q = 0.051 · 39 countries
Year-on-year changes—q = —
Read with care.
  • Almost all of the second indicator's variation is between countries, so the within-country estimate rests on a small part of the data.

247 country-years (one country in one year), 39 countries, 2000–2021, about 6 years each on average. Share of the variation that happens within countries over time: 14% for One-person households, 3% for Suicide rate. 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

0.20−0.2-10+8years Suicide rate trails One-person households →lag -1: r = 0.028 (n = 209)lag +0: r = 0.183 (n = 247)lag +1: r = -0.113 (n = 273)lag +2: r = -0.104 (n = 279)lag +3: r = 0.042 (n = 264)lag +4: r = 0.077 (n = 261)lag +5: r = 0.026 (n = 243)lag +6: r = -0.018 (n = 251)lag +7: r = -0.072 (n = 224)lag +8: r = -0.095 (n = 212)

Same year (lag 0): +0.183. 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


% of households
per 100,000		Years
Latvia LVA41.1%15.22021
Finland FIN41%14.62010, 2021
Norway NOR39.6%13.22011, 2021
Belarus BLR38%15.62019, 2021
Germany DEU37.3%12.92011, 2021
Austria AUT36.3%14.52011, 2021
France FRA35.5%16.62015, 2021
Japan JPN34.5%17.42015, 2021
Belgium BEL34%18.42011, 2021
Luxembourg LUX33.3%8.222011, 2021
Slovenia SVN32.6%18.92015, 2021
Czechia CZE32.5%13.32011, 2021
Hungary HUN32.1%16.42011, 2021
Korea, Rep. KOR31.8%27.52020, 2021
Lithuania LTU31.7%22.12011, 2021

United Nations, Department of Economic and Social Affairs, Population Division (2022). Database on Household Size and Composition 2022.
World Bank, World Development Indicators

Sources

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.

Suicide rate

Suicide mortality rate (per 100,000 population)

World Health Organization Global Health Observatory · CC BY 4.0 · updated quarterly

Estimates from a statistical model. Differences between countries partly reflect how deaths are registered, and how deaths of unclear intent are recorded. Those recording habits are linked to both religion and income.

How this was computed

Data used: most recent value in 2010-2025; values come from 2010–2021. 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 One-person households and Suicide rate

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

More links with One-person households or Suicide rate