Sweden

Overall inequality	0.28	Authors’ calculations on EU-SILC – 2019⁽¹⁾
Absolute inequality of opportunity	0.09	Authors’ calculations on EU-SILC – 2019⁽¹⁾
Relative inequality of opportunity	34%	Authors’ calculations on EU-SILC – 2019⁽¹⁾
Most predictive factor	Occupation (mother)	Authors’ calculations on EU-SILC – 2019⁽²⁾
Intergenerational persistence	0.2	(Heidrich, 2017) [Table 2]

Note: Inequality of opportunity and overall inequality estimates are computed on age-adjusted equivalized household disposable income (Ferreira et al., 2026).
⁽¹⁾Most recent survey wave.
⁽²⁾All survey waves.

References

Ferreira, F. H. G., Peragine, V., Brunori, P., Salas-Rojo, P., Moramarco, D., Sirugue, L., Barajas Prieto, L., Barbieri, T., Daza Baez, N., Datt, G., Sandi, V. de, Farella, F., Martinez Jr., A., Nguyen, J., Park, A., Simeone, E., Torres Lopez, P., & Zotti, G. (2026). International Variation in Inequality of Opportunity: Insights from 72 Countries. Research Square Working Paper.

Heidrich, S. (2017). Intergenerational mobility in Sweden: A regional perspective. Journal of Population Economics, 30(4), 1241–1280.

Information

The width of the bar is proportional to the population share of the group.
The tree structure underlying this group decomposition is based on the most recent survey wave. It can be found here, along with trees obtained from other survey waves, if any. Details on the methods used to partition the population into groups of individuals sharing the same inherited characteristics can be found on the Learn more page.

Data limitation

Time trends cannot be provided because only one survey year is available for this country.

Country supplements

For every wave of data available, additional results are available in the country supplements:

Detailed ex-ante and ex-post trees
Alluvial representations of correspondence between ex-ante and ex-post types
Type-specific outcomes densities
Shapley decompositions and partial dependence plots
Additional documentation and descriptive statistics

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