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.
9,853,894 prices in 12,772 cities entered by 882,062 contributors
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Recent prices added:
Basic Utilities for 85 m2 Apartment (Electricity, Heating, Cooling, Water, Garbage) in Kharkiv costs ₴4,000.00 (about 8 minutes ago)
Average Monthly Net Salary (After Tax) in Montreal is C$5,100.00 (about 19 minutes ago)
Combo Meal at McDonald's (or Equivalent Fast-Food Meal) in Ho Chi Minh City costs ₫100,000.00 (about 20 minutes ago)
Average Monthly Net Salary (After Tax) in Moscow is ₽135,900.00 (about 28 minutes ago)
Annual Mortgage Interest Rate (20-Year Fixed, in %) in Nasr City is 15.00 (about 33 minutes ago)
Meal at an Inexpensive Restaurant in London costs £30.00 (about 41 minutes ago)
1 Bedroom Apartment in City Centre in Reykjavik costs 350,000.00 kr (about 1 hour ago)
One-Way Ticket (Local Transport) in Novosibirsk costs ₽48.00 (about 1 hour ago)
Meal at an Inexpensive Restaurant in Ad Dammam costs ﷼22.00 (about 1 hour ago)
White Rice (1 kg) in Dar es Salaam costs TSh3,500.00 (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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