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Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Ranking of cities in Örebro for 2026. Örebro leads with a cost index of 93 and rent of 7 500 kr/month.
| # | City | Cost Index | Rent/mo | Income |
|---|---|---|---|---|
| 1 | Örebro | 93 | 7 500 kr | 345 000 kr |
Örebro ranks #1 with a cost index of 93 and rent of 7 500 kr/month.
Average cost index across these cities: 93 (-4 vs national average of 97).
Average quality of life: 70/100. Top: Örebro at 70/100.
Safest city: Örebro (70/100 safety score).
0 out of 1 cities keep rent under 30% of a 250K kr gross income.
Strip away assumptions, and something unexpected emerges. Örebro stands out as the top-ranked city in this analysis. With a cost index of 93 and median income of 345 000 kr, it offers below-average costs relative to the rest of Sweden. This combination is rare — and valuable.
On quality of life, Örebro leads with a composite score of 70/100 — reflecting its safety (70), healthcare (76), and walkability (74) 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.
Örebro ranks #1 in Örebro for this analysis with a cost index of 93 and median income of 345 000 kr.
In Örebro, rent would be about 36% of your gross monthly income on 250K kr. Consider cost-cutting measures or a roommate.
The region average QoL score is 70/100. Örebro leads with 70/100, 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.
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.