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Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Best cities for retirees in Jämtland in 2026. Östersund ranks #1 with cost index 94, rent 7 500 kr/mo, and QoL 71/100.
Best cities for retirees in Jämtland in 2026. Östersund ranks #1 with cost index 94, rent 7 500 kr/mo, and QoL 71/100.
| # | City | Cost Index | Rent/mo | Income |
|---|---|---|---|---|
| 1 | Östersund | 94 | 7 500 kr | 357 000 kr |
Östersund ranks #1 with a cost index of 94 and rent of 7 500 kr/month.
Average cost index across these cities: 94 (-7 vs national average of 101).
Average quality of life: 71/100. Top: Östersund at 71/100.
Safest city: Östersund (84/100 safety score).
Strip away assumptions, and something unexpected emerges. Östersund stands out as the top-ranked city in this analysis. With a cost index of 94 and median income of 357 000 kr, it offers below-average costs relative to the rest of Sweden. This is an advantage that compounds over time.
On quality of life, Östersund leads with a composite score of 71/100 — reflecting its safety (84), healthcare (72), and walkability (65) metrics. And there's one more thing: affordability and QoL don't always move in the same direction, and Sweden is a good example of that tension.
Östersund ranks #1 in Jämtland for this analysis with a cost index of 94 and median income of 357 000 kr.
Östersund scores highest for retirees due to its below-average cost of living, rent of 7 500 kr/mo, and quality of life score of 71/100.
The region average QoL score is 69/100. Östersund leads with 71/100, 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.