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.
9,986,939 prices in 12,905 cities entered by 890,057 contributors
plus prices collected automatically from 1,281 supermarkets, 323,328 restaurant menus and 1,876 other automated data feeds
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Recent prices added:
Domestic Beer (0.5 Liter Bottle) in Melbourne costs A$6.06 (about 4 minutes ago)
One-Way Ticket (Local Transport) in Norrkoping costs 35.00 kr (about 17 minutes ago)
Soft Drink (Coca-Cola or Pepsi, 0.33 Liter Bottle) in Mexico City costs Mex$35.00 (about 20 minutes ago)
Oranges (1 kg) in Delhi costs ₹100.00 (about 40 minutes ago)
1 Bedroom Apartment in City Centre in Edinburgh costs £2,000.00 (about 43 minutes ago)
Milk (Regular, 1 Liter) in Torrile costs €1.50 (about 1 hour ago)
Cinema Ticket (International Release) in Doha costs ﷼90.00 (about 1 hour ago)
One-Way Ticket (Local Transport) in Kremenchuk costs ₴20.00 (about 1 hour ago)
Chicken Fillets (1 kg) in Bat Yam costs ₪38.00 (about 1 hour ago)
Tomatoes (1 kg) in Wodzislaw Slaski costs 8.00 zł (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, Supermarket Prices API, Restaurant Prices API and Price Index API, or license the underlying dataset under a commercial Data License.

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