Cost of Living

Numbeo is the world's largest cost-of-living and quality-of-life database, combining millions of crowdsourced reports with automated market-data collection and statistical validation to produce reliable global benchmarks. It covers cost of living, housing, crime, healthcare, transport, and other key indicators used by individuals, researchers, and organizations worldwide.
9,826,425 prices in 12,764 cities entered by 880,886 contributors
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Recent prices added:
Average Monthly Net Salary (After Tax) in Doha is ﷼10,000.00 (about 8 minutes ago)
Cappuccino (Regular Size) in Tbilisi costs ₾11.00 (about 10 minutes ago)
3 Bedroom Apartment Outside of City Centre in Kuala Lumpur costs RM2,100.00 (about 10 minutes ago)
Bottled Water (0.33 Liter) in Mumbai costs ₹10.00 (about 18 minutes ago)
Average Monthly Net Salary (After Tax) in Palma de Mallorca is €2,000.00 (about 23 minutes ago)
Milk (Regular, 1 Liter) in Tashkent costs 24,000.00 soʼm (about 35 minutes ago)
Private Full-Day Preschool or Kindergarten, Monthly Fee per Child in Ar-rass costs ﷼700.00 (about 38 minutes ago)
Meal at an Inexpensive Restaurant in Port Louis costs Rs600.00 (about 57 minutes ago)
Meal for Two at a Mid-Range Restaurant (Three Courses, Without Drinks) in Lerida (Lleida) costs €50.00 (about 1 hour ago)
1 Bedroom Apartment Outside of City Centre in Saskatoon costs C$1,100.00 (about 1 hour ago)

Numbeo lets users and organizations explore, compare, and integrate cost-of-living data worldwide. Key capabilities include:

If you find Numbeo useful, you can contribute by sharing local price information to further help improve the accuracy and reliability of the data.

For businesses: Numbeo provides global cost-of-living and purchasing-power data to banks and fintech, HR and payroll systems, marketing and advertising platforms, relocation and global-mobility providers, consultancies, real-estate platforms, travel and tourism apps, and education and study-abroad services. Integrate global price and index data via the Cost of Living API, or license the underlying dataset under a commercial Data License.

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