How to interpret cost of living data
Cost-of-living numbers are useful—if you treat them as estimates, not guarantees. Here’s how to read them without setting the wrong expectations.
1) “Average” is not “your budget”
Two people can spend wildly different amounts in the same city. Lifestyle choices (housing, food, coworking, transport) dominate the outcome.
2) Housing assumptions matter most
For digital nomads, furnished short-term rent is often the largest cost. Changing neighborhood, booking lead time, or season can move monthly costs more than any other factor.
3) Timing (seasonality) can change the story
A city can look “cheap” on an annual average but be expensive during peak months. Always sanity-check for your travel dates.
4) Benchmarks vs nomad-specific estimates
Many datasets focus on resident-style baskets. NomadPointe is built around a consistent remote-work profile (single remote worker, 1–6 months, furnished rental, city-center lifestyle).
5) Use comparisons, not absolutes
The best use of cost-of-living data is ranking and narrowing options, then validating with on-the-ground sources (rentals, coworking options, transport, and internet availability).
Methodology
If you want the exact sourcing and calculation approach, see our Methodology & Data Sources.