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153m -- Overqualification rate by background country group (Q), 2018, 2022, 2018-2022

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1/30/2026
Overeducation, %:
per cent
95% confidence interval lower bound, %:
per cent
95% confidence interval upper limit, %:
per cent
1/1/2026
3/6/2025
Yes
National Institute for Health and Welfare (THL)
153m
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Sex

Person's gender on the last day of the year (register indicators) or at the time of drawing of the sample (survey indicators). The information about sex has been obtained from the Population Information System.

Age

Age refers to the age of the person in full years on the last day of the year (register indicators) or at the time of drawing of the sample (survey indicators). The information has been obtained from the Population Information System.

Background country

Person's background country. The information has been obtained from the Population Information System.

Years lived in Finland

Person's stay in the country at the time of sampling. The information has been obtained from the Population Information System.

Standard of education

The highest degree completed in Finland or abroad.The information is based on a questionnaire.

Reason for entry

The person's main reason for entry. The information is based on a questionnaire.

Information

Overeducation, %

The share of overqualified persons among all employed persons. Based on the question: An overqualified employee is a person whose education and skills would allow him or her to also work in a more demanding position. Considering your level of education, work experience and skills, do you regard yourself as overqualified for your current job? This is the share of those employed persons who have responded yes. The shares are weighted with regard to the sampling design and the bias caused by non-response. Persons aged 20 to 64 with foreign background born abroad living in Finland. Corresponding data are not available for the whole population.

95% confidence interval lower bound, %

Confidence intervals express the margin of error associated with figures calculated from a random sample. For a statistic estimated from the sample, such as a mean or a percentage, it is possible to calculate, for example, 95% margins of error on both sides. This can be expressed as: 'We are 95% confident that the true result lies within these boundaries.'

95% confidence interval upper limit, %

Confidence intervals express the margin of error associated with figures calculated from a random sample. For a statistic estimated from the sample, such as a mean or a percentage, it is possible to calculate, for example, 95% margins of error on both sides. This can be expressed as: 'We are 95% confident that the true result lies within these boundaries.'