placestats

Life satisfaction vs. Youth not in work or study

Fades after adjusting for income

Across 149 countries, Life satisfaction and Youth not in work or study rise and fall together at r = -0.55 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to -0.18, which could easily be chance (q = 0.22, 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 youth not in work or study, 10.9% to 24.7% of 15 to 24 year olds, life satisfaction is worse by 0.78 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.191 points.

Link before adjusting (r)-0.546p = 6.3e-13 · 149 countries
After adjusting for national income-0.183p = 0.026 · likely range [-0.33, -0.02]
p, allowing for regions0.052standard error 0.076 · 7 regions
Check for luck (q)0.223across 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
Youth not in work or study · % of 15 to 24 year oldslink with income -0.63 · 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) →Youth not in work or study · % of 15 to 24 year olds →1.457.763.14%65.7%Afghanistan: 1.45 score (0-10), 43.8% of 15 to 24 year oldsAngola: 3.79 score (0-10), 24.9% of 15 to 24 year oldsAlbania: 5.66 score (0-10), 21% of 15 to 24 year oldsUnited Arab Emirates: 6.82 score (0-10), 8.92% of 15 to 24 year oldsArgentina: 6.43 score (0-10), 15.2% of 15 to 24 year oldsArmenia: 5.58 score (0-10), 20.2% of 15 to 24 year oldsAustralia: 6.92 score (0-10), 8.53% of 15 to 24 year oldsAustria: 6.84 score (0-10), 13.4% of 15 to 24 year oldsAzerbaijan: 4.99 score (0-10), 9.64% of 15 to 24 year oldsBurundi: 3.77 score (0-10), 11.2% of 15 to 24 year oldsBelgium: 6.93 score (0-10), 8.15% of 15 to 24 year oldsBenin: 4.39 score (0-10), 14.2% of 15 to 24 year oldsBurkina Faso: 4.46 score (0-10), 24.5% of 15 to 24 year oldsBangladesh: 4.32 score (0-10), 15.4% of 15 to 24 year oldsBulgaria: 5.7 score (0-10), 10.9% of 15 to 24 year oldsBosnia and Herzegovina: 6.38 score (0-10), 14.3% of 15 to 24 year oldsBelarus: 5.82 score (0-10), 65.7% of 15 to 24 year oldsBelize: 6.71 score (0-10), 24.9% of 15 to 24 year oldsBolivia: 5.83 score (0-10), 8.02% of 15 to 24 year oldsBrazil: 6.63 score (0-10), 18.7% of 15 to 24 year oldsBhutan: 5.08 score (0-10), 15.3% of 15 to 24 year oldsBotswana: 3.46 score (0-10), 38% of 15 to 24 year oldsCanada: 6.74 score (0-10), 13.3% of 15 to 24 year oldsSwitzerland: 7.02 score (0-10), 6.99% of 15 to 24 year oldsChile: 6.3 score (0-10), 13.4% of 15 to 24 year oldsCote d'Ivoire: 5.15 score (0-10), 18.8% of 15 to 24 year oldsCameroon: 5.08 score (0-10), 23.2% of 15 to 24 year oldsCongo, Dem. Rep.: 3.76 score (0-10), 31.4% of 15 to 24 year oldsColombia: 6.04 score (0-10), 22% of 15 to 24 year oldsComoros: 3.92 score (0-10), 21.2% of 15 to 24 year oldsCosta Rica: 7.44 score (0-10), 19.4% of 15 to 24 year oldsCyprus: 6.13 score (0-10), 13.2% of 15 to 24 year oldsCzechia: 6.82 score (0-10), 4.62% of 15 to 24 year oldsGermany: 6.88 score (0-10), 7.58% of 15 to 24 year oldsDjibouti: 4.37 score (0-10), 44% of 15 to 24 year oldsDenmark: 7.54 score (0-10), 6.9% of 15 to 24 year oldsDominican Republic: 6.09 score (0-10), 24.7% of 15 to 24 year oldsAlgeria: 5.71 score (0-10), 20.9% of 15 to 24 year oldsEcuador: 6.14 score (0-10), 17.7% of 15 to 24 year oldsEgypt, Arab Rep.: 3.86 score (0-10), 23.8% of 15 to 24 year oldsSpain: 6.54 score (0-10), 10.5% of 15 to 24 year oldsEstonia: 6.41 score (0-10), 10.2% of 15 to 24 year oldsEthiopia: 3.98 score (0-10), 17.5% of 15 to 24 year oldsFinland: 7.76 score (0-10), 8.28% of 15 to 24 year oldsFrance: 6.59 score (0-10), 12.6% of 15 to 24 year oldsGabon: 5.17 score (0-10), 20.2% of 15 to 24 year oldsUnited Kingdom: 6.69 score (0-10), 14.4% of 15 to 24 year oldsGeorgia: 5.52 score (0-10), 14.7% of 15 to 24 year oldsGhana: 4.55 score (0-10), 23.9% of 15 to 24 year oldsGuinea: 4.61 score (0-10), 34.3% of 15 to 24 year oldsGambia, The: 4.31 score (0-10), 36.5% of 15 to 24 year oldsGreece: 5.7 score (0-10), 10.4% of 15 to 24 year oldsGuatemala: 6.53 score (0-10), 24% of 15 to 24 year oldsGuyana: 5.99 score (0-10), 44.8% of 15 to 24 year oldsHong Kong SAR, China: 5.57 score (0-10), 5.95% of 15 to 24 year oldsHonduras: 6.1 score (0-10), 29% of 15 to 24 year oldsCroatia: 6.01 score (0-10), 8.08% of 15 to 24 year oldsHaiti: 3.62 score (0-10), 21.1% of 15 to 24 year oldsHungary: 5.94 score (0-10), 9.98% of 15 to 24 year oldsIndonesia: 5.62 score (0-10), 21.4% of 15 to 24 year oldsIndia: 4.54 score (0-10), 25.6% of 15 to 24 year oldsIreland: 6.93 score (0-10), 5.67% of 15 to 24 year oldsIran, Islamic Rep.: 5.15 score (0-10), 24.3% of 15 to 24 year oldsIraq: 5.21 score (0-10), 36.9% of 15 to 24 year oldsIceland: 7.54 score (0-10), 3.98% of 15 to 24 year oldsIsrael: 7.19 score (0-10), 15.3% of 15 to 24 year oldsItaly: 6.57 score (0-10), 12% of 15 to 24 year oldsJamaica: 6.3 score (0-10), 19.7% of 15 to 24 year oldsJordan: 4.48 score (0-10), 29.4% of 15 to 24 year oldsJapan: 6.13 score (0-10), 3.14% of 15 to 24 year oldsKazakhstan: 6.63 score (0-10), 9.49% of 15 to 24 year oldsKenya: 4.67 score (0-10), 18.5% of 15 to 24 year oldsKyrgyz Republic: 6.05 score (0-10), 19.3% of 15 to 24 year oldsCambodia: 4.46 score (0-10), 6.32% of 15 to 24 year oldsLao PDR: 5.51 score (0-10), 22.5% of 15 to 24 year oldsLebanon: 3.72 score (0-10), 23.5% of 15 to 24 year oldsLiberia: 4.28 score (0-10), 39.9% of 15 to 24 year oldsSri Lanka: 4.01 score (0-10), 17.2% of 15 to 24 year oldsLesotho: 4.38 score (0-10), 38% of 15 to 24 year oldsLithuania: 6.7 score (0-10), 14.9% of 15 to 24 year oldsLuxembourg: 7.06 score (0-10), 10.2% of 15 to 24 year oldsLatvia: 6.37 score (0-10), 9.89% of 15 to 24 year oldsMorocco: 4.65 score (0-10), 35.3% of 15 to 24 year oldsMoldova: 5.85 score (0-10), 9.05% of 15 to 24 year oldsMadagascar: 4.17 score (0-10), 24.3% of 15 to 24 year oldsMaldives: 5.2 score (0-10), 26.3% of 15 to 24 year oldsMexico: 6.97 score (0-10), 16.2% of 15 to 24 year oldsNorth Macedonia: 5.72 score (0-10), 19.5% of 15 to 24 year oldsMali: 4.59 score (0-10), 30.1% of 15 to 24 year oldsMalta: 6.44 score (0-10), 7.84% of 15 to 24 year oldsMyanmar: 4.29 score (0-10), 15% of 15 to 24 year oldsMontenegro: 6.14 score (0-10), 14.2% of 15 to 24 year oldsMongolia: 5.94 score (0-10), 9.9% of 15 to 24 year oldsMozambique: 5.34 score (0-10), 19.2% of 15 to 24 year oldsMauritania: 4.47 score (0-10), 44.1% of 15 to 24 year oldsMauritius: 5.94 score (0-10), 13.9% of 15 to 24 year oldsMalawi: 3.28 score (0-10), 39.4% of 15 to 24 year oldsMalaysia: 6 score (0-10), 10.2% of 15 to 24 year oldsNamibia: 4.78 score (0-10), 31.9% of 15 to 24 year oldsNiger: 4.94 score (0-10), 15.7% of 15 to 24 year oldsNigeria: 4.79 score (0-10), 11.9% of 15 to 24 year oldsNicaragua: 6.3 score (0-10), 24.5% of 15 to 24 year oldsNetherlands: 7.22 score (0-10), 4.14% of 15 to 24 year oldsNorway: 7.24 score (0-10), 5.82% of 15 to 24 year oldsNepal: 5.15 score (0-10), 34.8% of 15 to 24 year oldsNew Zealand: 7 score (0-10), 12.8% of 15 to 24 year oldsOman: 6.2 score (0-10), 25.5% of 15 to 24 year oldsPakistan: 4.87 score (0-10), 28.5% of 15 to 24 year oldsPanama: 6.55 score (0-10), 15.1% of 15 to 24 year oldsPeru: 5.97 score (0-10), 22.8% of 15 to 24 year oldsPhilippines: 6.21 score (0-10), 12.4% of 15 to 24 year oldsPoland: 6.77 score (0-10), 10.1% of 15 to 24 year oldsPuerto Rico (US): 7.04 score (0-10), 19.5% of 15 to 24 year oldsPortugal: 6.03 score (0-10), 7.02% of 15 to 24 year oldsParaguay: 6.2 score (0-10), 18.6% of 15 to 24 year oldsWest Bank and Gaza: 4.69 score (0-10), 25.8% of 15 to 24 year oldsRomania: 6.63 score (0-10), 17% of 15 to 24 year oldsRussian Federation: 5.83 score (0-10), 6.68% of 15 to 24 year oldsRwanda: 3.27 score (0-10), 15.3% of 15 to 24 year oldsSaudi Arabia: 6.82 score (0-10), 16.4% of 15 to 24 year oldsSudan: 4.14 score (0-10), 46.5% of 15 to 24 year oldsSenegal: 4.79 score (0-10), 35.2% of 15 to 24 year oldsSingapore: 6.58 score (0-10), 6.46% of 15 to 24 year oldsSierra Leone: 3.25 score (0-10), 25.9% of 15 to 24 year oldsEl Salvador: 6.58 score (0-10), 20.5% of 15 to 24 year oldsSomalia, Fed. Rep.: 4.51 score (0-10), 51% of 15 to 24 year oldsSerbia: 6.69 score (0-10), 12.7% of 15 to 24 year oldsSuriname: 6.27 score (0-10), 18.2% of 15 to 24 year oldsSlovak Republic: 6.25 score (0-10), 8.75% of 15 to 24 year oldsSlovenia: 6.87 score (0-10), 7.13% of 15 to 24 year oldsSweden: 7.25 score (0-10), 5.58% of 15 to 24 year oldsEswatini: 3.91 score (0-10), 36.5% of 15 to 24 year oldsChad: 4.38 score (0-10), 42.3% of 15 to 24 year oldsTogo: 4.28 score (0-10), 13% of 15 to 24 year oldsThailand: 6.3 score (0-10), 12.4% of 15 to 24 year oldsTajikistan: 5.59 score (0-10), 41.3% of 15 to 24 year oldsTrinidad and Tobago: 5.91 score (0-10), 15.8% of 15 to 24 year oldsTunisia: 4.8 score (0-10), 22.6% of 15 to 24 year oldsTurkiye: 5.3 score (0-10), 22.9% of 15 to 24 year oldsTanzania: 3.9 score (0-10), 12.8% of 15 to 24 year oldsUganda: 4.49 score (0-10), 13.8% of 15 to 24 year oldsUkraine: 4.66 score (0-10), 16.5% of 15 to 24 year oldsUruguay: 6.63 score (0-10), 14% of 15 to 24 year oldsUnited States: 6.82 score (0-10), 11.6% of 15 to 24 year oldsViet Nam: 6.43 score (0-10), 10.3% of 15 to 24 year oldsKosovo: 6.91 score (0-10), 30% of 15 to 24 year oldsSouth Africa: 5.01 score (0-10), 34.6% of 15 to 24 year oldsZambia: 4.11 score (0-10), 26.7% of 15 to 24 year oldsZimbabwe: 3.35 score (0-10), 36% of 15 to 24 year oldsAFGBDIBLRDNKFINGUYISLKHMMWIRWAXKX

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.5466.3e-13149
By rank (Spearman), not adjusted-0.5808.8e-15149
Standard (Pearson), adjusted for national income-0.1830.026149
By rank (Spearman), adjusted for national income-0.1030.215149

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 149 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: +0.363 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.203 (without SOM) to -0.146 (without BWA). 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: BWA (+0.037).

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+0.32
Europe & Central Asia47-0.05
Latin America & Caribbean24-0.20
Middle East, North Africa, Afghanistan & Pakistan17-0.08
Sub-Saharan Africa39-0.17

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 third50-0.05
Middle third49-0.28
Richest third50-0.23

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
Christians89-0.25
Muslims41-0.10

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
France22-0.19
Never a European colony17-0.10
Spain18-0.31
United Kingdom41-0.19

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 = -0.189 after dropping 4 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.

Loading…

Over time, within countries

Everything above compares countries with each other at one moment. This section compares each country only with itself over 15years. 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 = -0.130, 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 life satisfaction moved did not tend to see their youth not in work or study move with it.

Across countries (adjusted)-0.183for comparison
Within countries-0.205each country vs itself
…and vs the same year elsewhere-0.130q = 0.207 · 104 countries
Year-on-year changes-0.080q = 0.078
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.

1,184 country-years (one country in one year), 104 countries, 2011–2025, about 11 years each on average. Share of the variation that happens within countries over time: 14% for Life satisfaction, 8% for Youth not in work or study. 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+8years Youth not in work or study trails Life satisfaction →lag -10: r = -0.014 (n = 961)lag -9: r = 0.041 (n = 1,020)lag -8: r = 0.081 (n = 1,064)lag -7: r = 0.056 (n = 1,082)lag -6: r = -0.023 (n = 1,141)lag -5: r = -0.077 (n = 1,160)lag -4: r = -0.144 (n = 1,170)lag -3: r = -0.128 (n = 1,203)lag -2: r = -0.186 (n = 1,225)lag -1: r = -0.137 (n = 1,249)lag +0: r = -0.130 (n = 1,184)lag +1: r = -0.050 (n = 1,079)lag +2: r = -0.073 (n = 1,003)lag +3: r = -0.004 (n = 900)lag +4: r = -0.003 (n = 814)lag +5: r = 0.000 (n = 740)lag +6: r = -0.052 (n = 622)lag +7: r = -0.061 (n = 541)lag +8: r = -0.007 (n = 420)

Same year (lag 0): -0.130. 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 largest value on this curve (-0.19 at lag -2) is higher than the same-year one by 0.06. That gap is not a finding. It is the largest of 19 closely related estimates, and picking the biggest of many tests always makes it look bigger. That is exactly why nothing on this site is ranked or chosen by lag.

The data


score (0-10)

% of 15 to 24 year olds
Years
Finland FIN7.768.28%2025, 2024
Iceland ISL7.543.98%2025, 2024
Denmark DNK7.546.9%2025, 2024
Costa Rica CRI7.4419.4%2025
Sweden SWE7.255.58%2025, 2024
Norway NOR7.245.82%2025, 2024
Netherlands NLD7.224.14%2025, 2024
Israel ISR7.1915.3%2025, 2024
Luxembourg LUX7.0610.2%2025, 2024
Puerto Rico (US) PRI7.0419.5%2015, 2020
Switzerland CHE7.026.99%2025
New Zealand NZL712.8%2025, 2024
Mexico MEX6.9716.2%2025
Ireland IRL6.935.67%2025, 2024
Belgium BEL6.938.15%2025, 2024

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.

Youth not in work or study

Share of youth not in education, employment or training, total (% of youth population)

International Labour Organization · CC BY 4.0 · updated quarterly

From labour force surveys, so yearly for about a hundred countries and occasional elsewhere.

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 Youth not in work or study

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

More links with Life satisfaction or Youth not in work or study