placestats

Life satisfaction vs. Premature NCD mortality

Fades after adjusting for income

Across 158 countries, Life satisfaction and Premature NCD mortality rise and fall together at r = -0.66 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to -0.25, which could easily be chance (q = 0.29, 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 premature ncd mortality, 12.2% to 22.7% probability, ages 30-70, life satisfaction is worse by 1.27 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.387 points.

Link before adjusting (r)-0.661p = 3.7e-21 · 158 countries
After adjusting for national income-0.252p = 0.001 · likely range [-0.39, -0.10]
p, allowing for regions0.071standard error 0.115 · 7 regions
Check for luck (q)0.286across 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
Premature NCD mortality · % probability, ages 30-70link 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) →Premature NCD mortality · % probability, ages 30-70 →1.457.766.9%36.3%Afghanistan: 1.45 score (0-10), 32.7% probability, ages 30-70Angola: 3.79 score (0-10), 24.7% probability, ages 30-70Albania: 5.66 score (0-10), 10% probability, ages 30-70United Arab Emirates: 6.82 score (0-10), 11.6% probability, ages 30-70Argentina: 6.43 score (0-10), 13.4% probability, ages 30-70Armenia: 5.58 score (0-10), 20.6% probability, ages 30-70Australia: 6.92 score (0-10), 8.3% probability, ages 30-70Austria: 6.84 score (0-10), 9.9% probability, ages 30-70Azerbaijan: 4.99 score (0-10), 17.4% probability, ages 30-70Burundi: 3.77 score (0-10), 24.8% probability, ages 30-70Belgium: 6.93 score (0-10), 9.2% probability, ages 30-70Benin: 4.39 score (0-10), 20.8% probability, ages 30-70Burkina Faso: 4.46 score (0-10), 23.4% probability, ages 30-70Bangladesh: 4.32 score (0-10), 18.1% probability, ages 30-70Bulgaria: 5.7 score (0-10), 25.6% probability, ages 30-70Bahrain: 6.25 score (0-10), 14.8% probability, ages 30-70Bosnia and Herzegovina: 6.38 score (0-10), 17.2% probability, ages 30-70Belarus: 5.82 score (0-10), 23.8% probability, ages 30-70Belize: 6.71 score (0-10), 15.4% probability, ages 30-70Bolivia: 5.83 score (0-10), 19.9% probability, ages 30-70Brazil: 6.63 score (0-10), 14.5% probability, ages 30-70Bhutan: 5.08 score (0-10), 15.9% probability, ages 30-70Botswana: 3.46 score (0-10), 19% probability, ages 30-70Central African Republic: 3.48 score (0-10), 30.8% probability, ages 30-70Canada: 6.74 score (0-10), 9.7% probability, ages 30-70Switzerland: 7.02 score (0-10), 7.5% probability, ages 30-70Chile: 6.3 score (0-10), 9.4% probability, ages 30-70China: 6.07 score (0-10), 15.9% probability, ages 30-70Cote d'Ivoire: 5.15 score (0-10), 22.7% probability, ages 30-70Cameroon: 5.08 score (0-10), 24.3% probability, ages 30-70Congo, Dem. Rep.: 3.76 score (0-10), 25.1% probability, ages 30-70Congo, Rep.: 4.46 score (0-10), 21.2% probability, ages 30-70Colombia: 6.04 score (0-10), 10.3% probability, ages 30-70Comoros: 3.92 score (0-10), 20.2% probability, ages 30-70Costa Rica: 7.44 score (0-10), 9.9% probability, ages 30-70Cyprus: 6.13 score (0-10), 8.5% probability, ages 30-70Czechia: 6.82 score (0-10), 14.2% probability, ages 30-70Germany: 6.88 score (0-10), 11.6% probability, ages 30-70Djibouti: 4.37 score (0-10), 20.6% probability, ages 30-70Denmark: 7.54 score (0-10), 10.7% probability, ages 30-70Dominican Republic: 6.09 score (0-10), 17.4% probability, ages 30-70Algeria: 5.71 score (0-10), 13.3% probability, ages 30-70Ecuador: 6.14 score (0-10), 13.2% probability, ages 30-70Egypt, Arab Rep.: 3.86 score (0-10), 26% probability, ages 30-70Spain: 6.54 score (0-10), 9.3% probability, ages 30-70Estonia: 6.41 score (0-10), 15.5% probability, ages 30-70Ethiopia: 3.98 score (0-10), 16.8% probability, ages 30-70Finland: 7.76 score (0-10), 9.6% probability, ages 30-70France: 6.59 score (0-10), 10.2% probability, ages 30-70Gabon: 5.17 score (0-10), 18.1% probability, ages 30-70United Kingdom: 6.69 score (0-10), 11% probability, ages 30-70Georgia: 5.52 score (0-10), 22.1% probability, ages 30-70Ghana: 4.55 score (0-10), 22.2% probability, ages 30-70Guinea: 4.61 score (0-10), 23.6% probability, ages 30-70Gambia, The: 4.31 score (0-10), 21.8% probability, ages 30-70Greece: 5.7 score (0-10), 12% probability, ages 30-70Guatemala: 6.53 score (0-10), 14.6% probability, ages 30-70Guyana: 5.99 score (0-10), 25.4% probability, ages 30-70Honduras: 6.1 score (0-10), 17.8% probability, ages 30-70Croatia: 6.01 score (0-10), 15.9% probability, ages 30-70Haiti: 3.62 score (0-10), 31.6% probability, ages 30-70Hungary: 5.94 score (0-10), 21.7% probability, ages 30-70Indonesia: 5.62 score (0-10), 21.9% probability, ages 30-70India: 4.54 score (0-10), 23.6% probability, ages 30-70Ireland: 6.93 score (0-10), 9.6% probability, ages 30-70Iran, Islamic Rep.: 5.15 score (0-10), 13.9% probability, ages 30-70Iraq: 5.21 score (0-10), 22.7% probability, ages 30-70Iceland: 7.54 score (0-10), 8.5% probability, ages 30-70Israel: 7.19 score (0-10), 7.6% probability, ages 30-70Italy: 6.57 score (0-10), 9.1% probability, ages 30-70Jamaica: 6.3 score (0-10), 20.2% probability, ages 30-70Jordan: 4.48 score (0-10), 11.6% probability, ages 30-70Japan: 6.13 score (0-10), 8% probability, ages 30-70Kazakhstan: 6.63 score (0-10), 21.2% probability, ages 30-70Kenya: 4.67 score (0-10), 18% probability, ages 30-70Kyrgyz Republic: 6.05 score (0-10), 18.8% probability, ages 30-70Cambodia: 4.46 score (0-10), 22.6% probability, ages 30-70Korea, Rep.: 6.04 score (0-10), 6.9% probability, ages 30-70Kuwait: 6.54 score (0-10), 9.3% probability, ages 30-70Lao PDR: 5.51 score (0-10), 26.5% probability, ages 30-70Lebanon: 3.72 score (0-10), 11.9% probability, ages 30-70Liberia: 4.28 score (0-10), 22% probability, ages 30-70Libya: 5.73 score (0-10), 19.8% probability, ages 30-70Sri Lanka: 4.01 score (0-10), 13.9% probability, ages 30-70Lesotho: 4.38 score (0-10), 36.3% probability, ages 30-70Lithuania: 6.7 score (0-10), 19.8% probability, ages 30-70Luxembourg: 7.06 score (0-10), 7.8% probability, ages 30-70Latvia: 6.37 score (0-10), 22.7% probability, ages 30-70Morocco: 4.65 score (0-10), 22% probability, ages 30-70Moldova: 5.85 score (0-10), 24.7% probability, ages 30-70Madagascar: 4.17 score (0-10), 25.9% probability, ages 30-70Maldives: 5.2 score (0-10), 9% probability, ages 30-70Mexico: 6.97 score (0-10), 16.3% probability, ages 30-70North Macedonia: 5.72 score (0-10), 19.6% probability, ages 30-70Mali: 4.59 score (0-10), 23% probability, ages 30-70Malta: 6.44 score (0-10), 9.8% probability, ages 30-70Myanmar: 4.29 score (0-10), 24% probability, ages 30-70Montenegro: 6.14 score (0-10), 18% probability, ages 30-70Mongolia: 5.94 score (0-10), 26.3% probability, ages 30-70Mozambique: 5.34 score (0-10), 26.6% probability, ages 30-70Mauritania: 4.47 score (0-10), 18.7% probability, ages 30-70Mauritius: 5.94 score (0-10), 21.7% probability, ages 30-70Malawi: 3.28 score (0-10), 24.9% probability, ages 30-70Malaysia: 6 score (0-10), 19.9% probability, ages 30-70Namibia: 4.78 score (0-10), 23.1% probability, ages 30-70Niger: 4.94 score (0-10), 20.2% probability, ages 30-70Nigeria: 4.79 score (0-10), 17.7% probability, ages 30-70Nicaragua: 6.3 score (0-10), 12.6% probability, ages 30-70Netherlands: 7.22 score (0-10), 9.9% probability, ages 30-70Norway: 7.24 score (0-10), 7.8% probability, ages 30-70Nepal: 5.15 score (0-10), 19.4% probability, ages 30-70New Zealand: 7 score (0-10), 10.3% probability, ages 30-70Oman: 6.2 score (0-10), 14.6% probability, ages 30-70Pakistan: 4.87 score (0-10), 25.5% probability, ages 30-70Panama: 6.55 score (0-10), 10.9% probability, ages 30-70Peru: 5.97 score (0-10), 12.3% probability, ages 30-70Philippines: 6.21 score (0-10), 31.9% probability, ages 30-70Poland: 6.77 score (0-10), 17% probability, ages 30-70Puerto Rico (US): 7.04 score (0-10), 10.1% probability, ages 30-70Portugal: 6.03 score (0-10), 10.5% probability, ages 30-70Paraguay: 6.2 score (0-10), 16.1% probability, ages 30-70West Bank and Gaza: 4.69 score (0-10), 18.3% probability, ages 30-70Qatar: 6.37 score (0-10), 12.1% probability, ages 30-70Romania: 6.63 score (0-10), 21.5% probability, ages 30-70Russian Federation: 5.83 score (0-10), 22.4% probability, ages 30-70Rwanda: 3.27 score (0-10), 20% probability, ages 30-70Saudi Arabia: 6.82 score (0-10), 13.6% probability, ages 30-70Sudan: 4.14 score (0-10), 21.2% probability, ages 30-70Senegal: 4.79 score (0-10), 21.4% probability, ages 30-70Singapore: 6.58 score (0-10), 10.3% probability, ages 30-70Sierra Leone: 3.25 score (0-10), 23.9% probability, ages 30-70El Salvador: 6.58 score (0-10), 12.6% probability, ages 30-70Somalia, Fed. Rep.: 4.51 score (0-10), 27.6% probability, ages 30-70Serbia: 6.69 score (0-10), 20.7% probability, ages 30-70Suriname: 6.27 score (0-10), 18.7% probability, ages 30-70Slovak Republic: 6.25 score (0-10), 16.6% probability, ages 30-70Slovenia: 6.87 score (0-10), 11.6% probability, ages 30-70Sweden: 7.25 score (0-10), 7.9% probability, ages 30-70Eswatini: 3.91 score (0-10), 32.3% probability, ages 30-70Syrian Arab Republic: 3.46 score (0-10), 21.3% probability, ages 30-70Chad: 4.38 score (0-10), 23.4% probability, ages 30-70Togo: 4.28 score (0-10), 25.4% probability, ages 30-70Thailand: 6.3 score (0-10), 14.5% probability, ages 30-70Tajikistan: 5.59 score (0-10), 18.1% probability, ages 30-70Turkmenistan: 5.47 score (0-10), 25.7% probability, ages 30-70Trinidad and Tobago: 5.91 score (0-10), 20.3% probability, ages 30-70Tunisia: 4.8 score (0-10), 13% probability, ages 30-70Turkiye: 5.3 score (0-10), 15.4% probability, ages 30-70Tanzania: 3.9 score (0-10), 18.8% probability, ages 30-70Uganda: 4.49 score (0-10), 21.5% probability, ages 30-70Ukraine: 4.66 score (0-10), 24.8% probability, ages 30-70Uruguay: 6.63 score (0-10), 17.4% probability, ages 30-70United States: 6.82 score (0-10), 13.7% probability, ages 30-70Uzbekistan: 6.28 score (0-10), 24.6% probability, ages 30-70Viet Nam: 6.43 score (0-10), 20.1% probability, ages 30-70South Africa: 5.01 score (0-10), 22.7% probability, ages 30-70Zambia: 4.11 score (0-10), 23.6% probability, ages 30-70Zimbabwe: 3.35 score (0-10), 31.2% probability, ages 30-70AFGFINISLJORLBNLKALSONORPHLUZBZWE

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.6613.7e-21158
By rank (Spearman), not adjusted-0.6781.4e-22158
Standard (Pearson), adjusted for national income-0.2520.001158
By rank (Spearman), adjusted for national income-0.2650.001158

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 158 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: +0.409 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.284 (without PHL) to -0.225 (without SWZ). 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: PHL (-0.032).

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 & Pacific15+0.29
Europe & Central Asia48-0.32
Latin America & Caribbean24-0.70
Middle East, North Africa, Afghanistan & Pakistan22-0.32
Sub-Saharan Africa41-0.12

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 third53-0.38
Middle third52-0.13
Richest third53-0.38

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
Christians91-0.41
Muslims47-0.09

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
France25+0.19
Never a European colony21-0.18
Spain18-0.22
United Kingdom45-0.31

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 = -0.228 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 11years. So a link here can’t come from anything about a country that stays the same, such as its history, geography, institutions or culture.

The link shows up within countries over time (r = -0.178) but mostly disappears in year-to-year changes (r = -0.059). That points to slow trends particular to each country, not the two measures moving together from year to year.

Across countries (adjusted)-0.252for comparison
Within countries-0.216each country vs itself
…and vs the same year elsewhere-0.178q = 0.016 · 152 countries
Year-on-year changes-0.059q = 0.193
Read with care.
  • Almost all of this indicator's variation is between countries, not within them, so the within-country estimate rests on a small part of the data.

1,473 country-years (one country in one year), 152 countries, 2011–2021, about 10 years each on average. Share of the variation that happens within countries over time: 3% for Life satisfaction, 8% for Premature NCD 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

0.20−0.2-100+5years Premature NCD mortality trails Life satisfaction →lag -10: r = -0.026 (n = 2,045)lag -9: r = -0.040 (n = 2,045)lag -8: r = -0.044 (n = 2,045)lag -7: r = -0.055 (n = 2,045)lag -6: r = -0.066 (n = 2,045)lag -5: r = -0.092 (n = 2,045)lag -4: r = -0.079 (n = 2,045)lag -3: r = -0.101 (n = 1,902)lag -2: r = -0.137 (n = 1,751)lag -1: r = -0.170 (n = 1,611)lag +0: r = -0.178 (n = 1,473)lag +1: r = -0.164 (n = 1,332)lag +2: r = -0.143 (n = 1,185)lag +3: r = -0.151 (n = 1,035)lag +4: r = -0.112 (n = 871)lag +5: r = -0.124 (n = 705)

Same year (lag 0): -0.178. 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


score (0-10)

% probability, ages 30-70
Years
Finland FIN7.769.6%2025, 2021
Iceland ISL7.548.5%2025, 2021
Denmark DNK7.5410.7%2025, 2021
Costa Rica CRI7.449.9%2025, 2021
Sweden SWE7.257.9%2025, 2021
Norway NOR7.247.8%2025, 2021
Netherlands NLD7.229.9%2025, 2021
Israel ISR7.197.6%2025, 2021
Luxembourg LUX7.067.8%2025, 2021
Puerto Rico (US) PRI7.0410.1%2015, 2021
Switzerland CHE7.027.5%2025, 2021
New Zealand NZL710.3%2025, 2021
Mexico MEX6.9716.3%2025, 2021
Ireland IRL6.939.6%2025, 2021
Belgium BEL6.939.2%2025, 2021

Helliwell, J. et al., World Happiness Report; underlying data Gallup World Poll
World Bank, World Development Indicators

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.

Premature NCD mortality

Mortality from cardiovascular disease, cancer, diabetes or chronic respiratory disease between ages 30 and 70 (%)

World Health Organization · CC BY 4.0 · updated quarterly

The series ends in 2021.

How this was computed

Data used: most recent value in 2010-2025; values come from 2011–2025. 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 Premature NCD mortality

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

More links with Life satisfaction or Premature NCD mortality