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Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Kalmar digital nomad score: 74/100 — internet 80 Mbps, walk score 70/100, safety 78/100, rent 7 200 kr/mo, nightlife 38/100. Full breakdown vs Kalmar peers.
Kalmar digital nomad score: 74/100 — internet 80 Mbps, walk score 70/100, safety 78/100, rent 7 200 kr/mo, nightlife 38/100. Full breakdown vs Kalmar peers.
Kalmar: cost index 90 (-11 vs national avg 101), rent 7 200 kr/month.
Kalmar region average cost index: 101. Kalmar is -11 vs region peers.
Quality of life: 72/100 — safety 78, healthcare 72, walkability 70.
Safety score: 78/100 (crime rate 40.8/1k). National average: 73/100.
Here's where the conversation shifts from 'affordable' to 'strategic': Kalmar has a cost index of 90 — 11 points below the Sweden national average of 101. Median income is 347 000 kr with rent at 7 200 kr/month, putting the rent-to-income ratio at 25%. This combination is rare — and valuable.
Zooming out, looking at Kalmar as a whole, the spread across all 24 cities is 6 points on the cost index. Eskilstuna sits at the other end with index 96 and rent of 7 700 kr/mo. Financially, that's significant.
On quality of life, Kalmar scores a composite score of 72/100 — reflecting its safety (78), healthcare (72), and walkability (70) 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.
For digital nomads specifically, Kalmar earns a DN score of 74/100, powered by 80 Mbps internet, walkability of 70/100, and a nightlife score of 38/100. This combination is rare — and valuable.
| # | City | Cost Index | Rent/mo | Income | DN Score | Internet (Mbps) |
|---|---|---|---|---|---|---|
| 1 | Kalmar | 90 | 7 200 kr | 347 000 kr | 74 | 80 |
| 2 | Lund | 112 | 9 700 kr | 400 000 kr | 74 | 125 |
| 3 | Linköping | 102 | 8 700 kr | 378 000 kr | 74 | 115 |
| 4 | Jönköping | 96 | 7 900 kr | 362 000 kr | 74 | 100 |
| 5 | Örebro | 97 | 8 000 kr | 362 000 kr | 74 | 105 |
| 6 | Umeå | 101 | 8 300 kr | 373 000 kr | 74 | 110 |
| 7 | Karlstad | 94 | 7 500 kr | 357 000 kr | 74 | 90 |
| 8 | Gothenburg | 112 | 10 100 kr | 395 000 kr | 73 | 130 |
| 9 | Malmö | 108 | 9 500 kr | 378 000 kr | 73 | 120 |
| 10 | Uppsala | 114 | 10 400 kr | 405 000 kr | 73 | 135 |
| 11 | Östersund | 94 | 7 500 kr | 357 000 kr | 73 | 80 |
| 12 | Helsingborg | 103 | 9 000 kr | 368 000 kr | 72 | 110 |
| 13 | Norrköping | 96 | 8 100 kr | 357 000 kr | 72 | 100 |
| 14 | Halmstad | 104 | 8 700 kr | 383 000 kr | 72 | 95 |
| 15 | Luleå | 96 | 7 600 kr | 378 000 kr | 72 | 90 |
| 16 | Gävle | 93 | 7 500 kr | 352 000 kr | 72 | 85 |
| 17 | Sundsvall | 93 | 7 400 kr | 357 000 kr | 72 | 85 |
| 18 | Växjö | 95 | 7 500 kr | 357 000 kr | 72 | 90 |
| 19 | Karlskrona | 90 | 6 900 kr | 341 000 kr | 72 | 80 |
| 20 | Västerås | 99 | 8 000 kr | 362 000 kr | 72 | 100 |
Kalmar — cost index 90, rent 7 200 kr/mo, income 347 000 kr, QoL 72/100.
Lund — cost index 112, rent 9 700 kr/mo, income 400 000 kr, QoL 70/100.
Linköping — cost index 102, rent 8 700 kr/mo, income 378 000 kr, QoL 71/100.
Jönköping — cost index 96, rent 7 900 kr/mo, income 362 000 kr, QoL 71/100.
Örebro — cost index 97, rent 8 000 kr/mo, income 362 000 kr, QoL 69/100.
Kalmar earns a digital nomad score of 74/100 — internet 80 Mbps, walk score 70/100, safety 78/100, rent 7 200 kr/month.
The Kalmar region of average QoL score is 69/100. Kalmar leads with 72/100, 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.
Kalmar: cost index 90, rent 7 200 kr/mo, income 347 000 kr/yr, QoL 72/100. Lund: cost index 112, rent 9 700 kr/mo, income 400 000 kr/yr, QoL 70/100.
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.