Monthly gross salary: In general, the monthly salary has increased across Sweden between 2015 and 2019 (SEK 1,900 in Åsele to SEK 5,100 in Sollentuna). A particularly high increase in salary can be found in and around the major cities of Stockholm, Gothenburg and Malmö.
Medical and health related employment: The distribution of the number of employees in the medical and health sector does not show a clear spatial pattern. A low number of employees can be found in scattered regions in southern Sweden, especially in the city of Stockholm (43.3 per 100 inhabitants over 65 years of age) and surrounding municipalities (e. g. Botkyrka and Huddinge 54 and 52.9 employees per 100 inhabitants over 65 years of age). High numbers of employees are found in and around university cities such as in Umeå (66.2 employees per 100 inhabitants over 65 years of age).
House prices: The distribution of house prices shows disparities between urban and rural regions, which is a consequence of urbanisation (similar to rental prices). Predominantly above-average prices can be found in regions with much immigration, such as the major cities in southern Sweden and university cities. In Stockholm and its surrounding municipalities can be found the highest house prices (between SEK 6,722,000 in Sollentuna and SEK 11,209,000 in Danderyd, which is the residence of the richest citizens of Sweden), followed by the cities of Gothenburg, Malmö and their surroundings, and the islands of Gotland and Öland. In contrast, the lowest house prices can be found in the very sparsely populated regions of northern and southern Sweden (e. g. Åsele: SEK 330,000).
Gender pay gap: The distribution shows disparities between urban and rural regions due to the variety of earning opportunities. The lowest pay gap can be found in rural regions in northern Sweden (except in the mining region of Kiruna, lowest in Sorsele: 93 %), in scattered southern municipalities and on the island of Gotland. In contrast, the largest pay gap can be found in the municipalities surrounding the major cities of Stockholm (e. g. Danderyd: 65 %), Gothenburg and Malmö. The pay gap in the cities of Stockholm and Gothenburg are on national mean (79 %), while the pay gap in Malmö (84 %) is lower.
Life expectancy: The geographical pattern of life expectancy shows distinct disparities between northern peripheral (and mining-dominated) regions and the urban regions on the coast and in southern Sweden (79 in Munkfors up to 85 years in Danderyd). The variation in life expectancy is due to an interplay of health behaviour and health knowledge (which is affected by education) and environmental conditions such as clean environment and working conditions.
Rental prices: The distribution of rental prices (median annual rent per square metre in rented dwellings) shows disparities between urban and rural regions which is a consequence of urbanisation (similar to house prices). Predominantly above-average prices can be found in regions with much immigration, such as the major cities in southern Sweden and university cities. The highest rental prices can be found in Stockholm and the surrounding municipalities (SEK 1,393, highest in Täby: SEK 1,601), followed by Malmö (SEK 1,326) and surroundings and along the west coast (Gothenburg: SEK 1,221). Furthermore, the rental prices on the islands Gotland and Öland are above average. In contrast, the lowest rental prices can be found in the very sparsely populated regions of northern and southern Sweden (lowest prices in Bjurholm: SEK 761). The municipality of Åre in Jämtland (SEK 1,128) stands out here, which contrasts with the trends in northern Sweden. In general, rental prices increased across Sweden between 2016 and 2020 with few exceptions (SEK -7 to SEK -69). A high increase can be found in southern regions that are generally characterised by high rental prices, such as the surrounding municipalities around the major cities of Stockholm, Gothenburg and Malmö (highest in Vallentuna, north of Stockholm: SEK +461).