Regional Matching Indicators (RMI) 2023
Lower proportion of men in matching occupations
Statistical news from Statistics Sweden 2025-06-25 8.00
Statistics Sweden annually publishes the Regional Matching Indicators (RMI), which highlight the supply and demand of educated labor at the regional level. The statistics also show how well individuals' educational backgrounds align with their current occupations. The RMI is intended to serve as a support tool in regional efforts for skills provision and can be used to highlight differences in the labor market situation between different groups.
One of the most used indicators within the RMI is the matched employment rate. It shows the extent to which individuals with different educational backgrounds have obtained jobs in occupations that fully match their education.
A person is considered fully matched when both the level and field of education correspond to the occupation they hold. In the matched employment rate, the number of fully matched individuals is compared to the entire population within the same educational group.
A high general employment rate combined with a low matched employment rate, for example, indicates that educated individuals have found jobs, but in occupations that do not fully correspond to their education. This may be an indication of lower demand for the specific education.
In 2023, the matched employment rate was 53 percent among individuals aged 20–64. The general employment rate, on the other hand, was 81 percent. The difference between these measures consists of individuals who are employed, but in occupations that only partially, or not at all, match their education.
– When it comes to regional differences, both the general employment rate and the matched employment rate were highest in Västerbotten County, with 85 and 56 percent respectively. Conversely, the proportions were lowest in Södermanland County and Skåne, says Marc Doppelbauer, analyst at Statistics Sweden.
Lower matched employment rate among men
In general, men are slightly less likely to work in occupations that fully match their education, compared to women. The matched employment rate was 50 percent among men aged 20–64, compared to 55 percent among women. The general employment rate was 81 percent for both groups.
The map on the left shows the matched employment rate in percent for women, while the map on the right shows it for men. The maps use a common color scale, and the legend displays the midpoints of each category.
The gender gap in matching exists in all of Sweden’s regions and can partly be explained by the relationship between matched employment rate and level of education.
In general, men have a lower level of education than women. Among men, it is more common to have a pre-secondary or upper secondary education as the highest level of education, while the proportion with at least three years of post-secondary education is significantly lower than among women.
At the same time, the match between education and occupation is lowest among those with a pre-secondary education—11 percent nationwide—and highest among those with at least three years of post-secondary education, where the matched employment rate is 71 percent.
Individuals with low education generally find it more difficult to obtain a matching job, as the labor market increasingly demands specialized skills, which are often acquired through higher education. Low-educated individuals face a limited supply of jobs with broad tasks that do not always require specific skills that can be linked to the individual’s education.
Large differences in employment rate and job matching between native-born and foreign-born
In 2023, the matched employment rate nationwide among native-born individuals aged 20–64 was 58 percent, compared to 39 percent among foreign-born individuals. This is a difference of 19 percentage points.
But there are also large differences in the general employment rate. In 2023, the employment rate for native-born individuals was 87 percent and 65 percent for foreign-born individuals, a difference of 22 percentage points. The differences in both employment rate and job matching reflect the general challenges that foreign-born individuals face in the labor market.
The map on the left shows the difference in employment rate between native-born and foreign-born individuals in percentage points, while the map on the right shows the difference in matched employment rate. The maps use a common color scale, and the legend displays the midpoints of each category.
Even at the regional level, the differences in both employment rate and matched employment rate between native-born and foreign-born individuals are significant. In the counties of Skåne, Blekinge, and Kronoberg, these differences are relatively large. Foreign-born individuals have difficulty both in finding a job and in finding one that fully matches their education. In the counties of Västmanland, Norrbotten, and Västerbotten, the differences are relatively small, which means that foreign-born individuals have it relatively easier to find a job and one that fully matches their education.
Gotland and Värmland counties are examples of regions where the difference in employment rate between native-born and foreign-born individuals is relatively large, while the difference in matching is comparatively small. This can be interpreted as foreign-born individuals having difficulty entering the labor market, but those who do manage to find employment are more likely to work in occupations that fully match their education.
Definitions and explanations
The Regional Matching Indicators (RMI) were developed in 2013 by Reglab, a forum for learning about regional development, in collaboration with Statistics Sweden (SCB). Today, the indicators are managed and further developed by the Swedish Agency for Economic and Regional Growth (Tillväxtverket) together with SCB. The indicators consist of around twenty statistical tables aimed at reflecting both the supply and demand of educated labor and the degree of matching at the regional level.
The statistics are based on SCB’s registers: the Labor Market Status of the Population (BAS), the Register of Occupations (YREG), and the Register of Educational Attainment (UREG).
The assessment of which educations match which occupations is carried out within the framework of SCB’s Trends and Forecasts on Education and the Labour Market and is presented in a matching map.
Fully, partially, and not matched employees:
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- Fully matched means that both the field and the level of education are fully aligned with the requirements of the occupation.
- Partially matched means either that the field of education is fully aligned but the level of education is "incorrect," or that the field of education is only partially aligned, regardless of the level of education.
- Not matched means that there is no apparent alignment at all between the field of education and the occupation, regardless of the level of education.
Employment rate and matched employment rate:
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- Employment rate: The number of fully, partially, and non-matched employed individuals, divided by the total number of people with the given education (adjusted total excluding self-employed individuals, students, and those lacking sufficiently high-quality occupational data)
- Matched employment rate: The number of fully matched employed individuals, divided by the total number of people with the given education (adjusted total excluding self-employed individuals, students, and those lacking sufficiently high-quality occupational data)
The data for this statistical release is published in the table Matching – Education (E3) in SCB’s statistical database. This year, the table is also available in a second version. The second version of table E3 is a pilot table in which SCB has implemented the disclosure control method Cell Key Method (CKM). This method introduces a small and controlled random uncertainty to the statistical values during production. This makes it possible to present detailed statistics without having to suppress values using, for example, dots, or reduce the level of detail in the presentation. The pilot table contains more detailed results, down to the municipality level, and the statistics are also broken down by industry and 5-year age groups.
Feel free to use the facts from this statistical news but remember to state Source: Statistics Sweden.