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Crunching costs, sorting signals, rendering insights.
Best cities for remote workers in Northern Territory in 2026. Darwin ranks #1 with cost index 116, rent $2,350/mo, and QoL 55/100.
Best cities for remote workers in Northern Territory in 2026. Darwin ranks #1 with cost index 116, rent $2,350/mo, and QoL 55/100.
| # | City | Cost Index | Rent/mo | Income |
|---|---|---|---|---|
| 1 | Darwin | 116 | $2,350 | $80,000 |
Darwin ranks #1 with a cost index of 116 and rent of $2,350/month.
Average cost index across these cities: 116 (+3 vs national average of 113).
Average quality of life: 55/100. Top: Darwin at 55/100.
Safest city: Darwin (48/100 safety score).
Strip away assumptions, and something unexpected emerges. Darwin stands out as the top-ranked city in this analysis. With a cost index of 116 and median income of $80,000, it offers competitive value despite costs slightly above the national median. That's a strong position by any measure.
On quality of life, Darwin leads with a composite score of 55/100 — reflecting its safety (48), healthcare (58), and walkability (52) metrics. And here's the trade-off: affordability and QoL don't always move in the same direction, and Australia is a good example of that tension.
Darwin ranks #1 in Northern Territory for this analysis with a cost index of 116 and median income of $80,000.
Darwin scores highest for remote workers due to its strong income potential, rent of $2,350/mo, and quality of life score of 55/100.
The region average QoL score is 63/100. Darwin leads with 55/100, 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 ABS, CoreLogic, ATO.
This analysis uses data from ABS, CoreLogic, ATO to rank cities in Australia. 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.