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Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Ranking of cities in Sweden for 2026. Västerås leads with a cost index of 95 and rent of 7 500 kr/month.
Ranking of cities in Sweden for 2026. Västerås leads with a cost index of 95 and rent of 7 500 kr/month.
Västerås ranks #1 with a cost index of 95 and rent of 7 500 kr/month.
Average cost index across these cities: 96 (-1 vs national average of 97).
Average quality of life: 71/100. Top: Västerås at 69/100.
Safest city: Umeå (79/100 safety score).
Here's the finding that keeps coming up in different analyses: Västerås stands out as the top-ranked city in this analysis. With a cost index of 95 and median income of 345 000 kr, it offers below-average costs relative to the rest of Sweden. This is where the math gets real for actual people.
On quality of life, Umeå leads with a composite score of 72/100 — reflecting its safety (79), healthcare (82), and walkability (72) metrics. Pair that with the housing data, and the pattern sharpens. affordability and QoL don't always move in the same direction, and Sweden is a good example of that tension.
Västerås — cost index 95, rent 7 500 kr/mo, income 345 000 kr, QoL 69/100.
Umeå — cost index 97, rent 7 800 kr/mo, income 355 000 kr, QoL 72/100.
The country average QoL score is 70/100. Västerås leads with 69/100, reflecting its safety, healthcare access, walkability, and green space.
Our index is benchmarked to 100 (national median). Sub-categories cover housing, food, transport, utilities, and healthcare. Data sources include SCB, Lantmäteriet, Skatteverket.
Västerås (ranked #1) has a cost index of 95 and rent of 7 500 kr/mo. Umeå (#2) has index 97 and rent 7 800 kr/mo — a 2-point gap.
This analysis uses data from SCB, Lantmäteriet, Skatteverket to rank cities in Sweden. The cost of living index is benchmarked to 100 (national median). Quality of life scores combine safety, healthcare, walkability, air quality, green space, and transit metrics. Salary ranges use national occupation data adjusted for local cost differences. Data is updated regularly to reflect current market conditions.