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Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Best cities for students in Södermanland in 2026. Eskilstuna ranks #1 with cost index 96, rent 7 700 kr/mo, and QoL 67/100.
Best cities for students in Södermanland in 2026. Eskilstuna ranks #1 with cost index 96, rent 7 700 kr/mo, and QoL 67/100.
Eskilstuna ranks #1 with a cost index of 96 and rent of 7 700 kr/month.
Average cost index across these cities: 96 (-5 vs national average of 101).
Average quality of life: 67/100. Top: Eskilstuna at 67/100.
Safest city: Eskilstuna (62/100 safety score).
Here's what the headline numbers don't tell you: Eskilstuna stands out as the top-ranked city in this analysis. With a cost index of 96 and median income of 357 000 kr, it offers below-average costs relative to the rest of Sweden. That's a strong position by any measure.
On quality of life, Eskilstuna leads with a composite score of 67/100 — reflecting its safety (62), healthcare (72), and walkability (70) metrics. Context matters here. affordability and QoL don't always move in the same direction, and Sweden is a good example of that tension.
| # | City | Cost Index | Rent/mo | Income |
|---|---|---|---|---|
| 1 | Eskilstuna | 96 | 7 700 kr | 357 000 kr |
Eskilstuna ranks #1 in Södermanland for this analysis with a cost index of 96 and median income of 357 000 kr.
Eskilstuna scores highest for students due to its below-average cost of living, rent of 7 700 kr/mo, and quality of life score of 67/100.
The region average QoL score is 69/100. Eskilstuna leads with 67/100, reflecting 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.
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.