Purchasing Power
How much local incomes can buy at local prices.
- Data source
- Numbeo
- Ranking layer
- Practical Fit
- Base priority weight
- 15%
How Numbeo calculates the index
Numbeo compares average net salaries with the cost of a typical basket of goods and services, including rent. Its Local Purchasing Power Index compares that purchasing power with New York City, which is the reference value of 100. CityFit uses the published index from its cached city data.
Numbeo owns the source methodology. CityFit stores a snapshot of the published city values; it does not recalculate Numbeo’s underlying surveys or climate model. The source link below explains Numbeo’s calculation in full.
How CityFit uses it
The metric in city profiles stays in Numbeo’s original units. For personalization, CityFit also creates a 0–100 feature using the minimum and maximum across the full city dataset. A higher source value contributes a higher feature score. If every city has the same value, the feature is set to 50.
View the scoring formula
feature = 100 × (value − global_min) / (global_max − global_min)Its base weight is 15% of the practical priority blend. Your slider multiplies that weight, then all active weights are normalized. Practical Fit combines 30% of Numbeo’s Quality of Life Index with 70% of this weighted practical blend, then multiplies the result by 1.75. Setting a metric slider to zero removes its direct priority contribution; the Numbeo baseline still contains its own underlying factors.
Country and region filters select which cities you see. Metric colors continue to use the global scale; percentiles describe a city’s standing across the full dataset and are separate from the raw score.
What the score can tell you
An average local salary may differ from your income. The index does not calculate your taxes, employment prospects, or personal spending.