Market-income Gini vs. Youth not in work or study
Holds up after adjusting for income
Across 43 countries, Market-income Gini and Youth not in work or study rise and fall together at r = +0.67 (on a scale from −1 to +1, where 0 means no link). It holds up almost unchanged when only countries with similar income (GDP per person) are compared (r = +0.56, q = 0.033, allowing for the many pairs tested). Caution: leave-one-out range spans 0.24 in r.
Comparing countries across the middle half of market-income gini, 0.438 to 0.507 points, youth not in work or study is worse by 5.42% of 15 to 24 year olds at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 3.52% of 15 to 24 year olds.
Link before adjusting (r)+0.674p = 7.1e-7 · 43 countries
After adjusting for national income+0.563p = 0.000 · likely range [+0.31, +0.74]
p, allowing for regions0.002standard error 0.111 · 7 regions
Check for luck (q)0.033across 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.
Market-income Gini · index, 0 to 1link with income -0.36 · moderate
Youth not in work or study · % of 15 to 24 year oldslink with income -0.63 · high
“Link with income” is how closely each measure tracks GDP per person across countries, from −1 to +1.
Every country as a dot
best-fit line line after adjusting
Four ways to measure the link
| Method | r | p | Countries |
|---|---|---|---|
| Standard (Pearson), not adjusted | +0.674 | 7.1e-7 | 43 |
| By rank (Spearman), not adjusted | +0.511 | 0.000 | 43 |
| Standard (Pearson), adjusted for national income | +0.563 | 0.000 | 43 |
| By rank (Spearman), adjusted for national income | +0.428 | 0.005 | 43 |
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 43 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: +0.111 (a minus sign means it grew).
How solid is it?
Leaving out one country at a time, r ranges from +0.389 (without ZAF) to +0.633 (without JPN). 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: ZAF (-0.175).
Fragile: this link may not hold up.
- leave-one-out range spans 0.24 in r
- correlation moves sharply once outliers are trimmed
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.
| n | r | ||
|---|---|---|---|
| Europe & Central Asia | 31 | +0.55 |
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.
| n | r | ||
|---|---|---|---|
| Poorest third | 15 | +0.68 | |
| Middle third | 14 | +0.08 | |
| Richest third | 14 | +0.49 |
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.
| n | r | ||
|---|---|---|---|
| Christians | 36 | +0.67 |
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 = +0.345 after dropping 3 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 14years. 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 = +0.244, 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 market-income gini moved did not tend to see their youth not in work or study move with it.
Across countries (adjusted)+0.563for comparison
Within countries+0.339each country vs itself
…and vs the same year elsewhere+0.244q = 0.300 · 38 countries
Year-on-year changes+0.124q = 0.246
429 country-years (one country in one year), 38 countries, 2011–2024, about 11 years each on average. Share of the variation that happens within countries over time: 14% for Market-income Gini, 14% 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
Same year (lag 0): +0.244. 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 (-0.41 at lag -7) is higher than the same-year one by 0.17. That gap is not a finding. It is the largest of 18 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
index, 0 to 1 | % of 15 to 24 year olds | Years | |
|---|---|---|---|
| South Africa ZAF | 0.709 | 34.6% | 2017, 2024 |
| Costa Rica CRI | 0.526 | 19.4% | 2024, 2025 |
| Turkiye TUR | 0.525 | 22.9% | 2022, 2024 |
| Brazil BRA | 0.523 | 18.7% | 2022, 2025 |
| United Kingdom GBR | 0.522 | 14.4% | 2023, 2025 |
| Bulgaria BGR | 0.52 | 10.9% | 2023, 2024 |
| France FRA | 0.517 | 12.6% | 2023, 2024 |
| Japan JPN | 0.513 | 3.14% | 2021, 2019 |
| Finland FIN | 0.509 | 8.28% | 2023, 2024 |
| Italy ITA | 0.509 | 12% | 2023, 2024 |
| India IND | 0.508 | 25.6% | 2011, 2025 |
| Greece GRC | 0.506 | 10.4% | 2023, 2025 |
| United States USA | 0.506 | 11.6% | 2023, 2025 |
| Germany DEU | 0.505 | 7.58% | 2022, 2024 |
| Lithuania LTU | 0.505 | 14.9% | 2023, 2024 |
OECD databases as named on each indicator: PISA, Social Expenditure Database (SOCX), Income Distribution Database, Development Assistance Committee statistics, Family Database, Government at a Glance, Corporate Tax Statistics, employment and environment statistics
World Bank, World Development Indicators
Sources
Market-income Gini
Gini coefficient of market income
OECD · via Our World in Data · CC BY 4.0 (OECD terms and conditions) · updated annual, except the snapshots noted per indicator · comparable from 2011 only
Inequality of household income before taxes and government payments, for the whole population. It is not the Gini already on the site, which is of income after taxes and payments. The gap between the two shows what the government does. The number of countries jumps from 24 to 34 in 2011, when the OECD changed its definition of income, so the series is used from 2011 on.
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 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 Market-income Gini and Youth not in work or study
This page shows that two measures go together. It does not show that Market-income Gini 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 Market-income Gini or Youth not in work or study
- Female labor participation vs Youth not in work or study before -0.47 → after adjusting -0.53
- Unemployment vs Youth not in work or study before +0.41 → after adjusting +0.45
- Male labor participation vs Market-income Gini before -0.31 → after adjusting -0.43
- Inequality-adjusted HDI vs Market-income Gini before -0.59 → after adjusting -0.43
- Regulatory quality vs Youth not in work or study before -0.61 → after adjusting -0.32
- Family benefits spending vs Youth not in work or study before -0.43 → after adjusting -0.29
- Government effectiveness vs Youth not in work or study before -0.60 → after adjusting -0.29
- Extreme poverty rate vs Youth not in work or study before +0.26 → after adjusting -0.28