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.
9,869,332 prices in 12,801 cities entered by 884,124 contributors
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Recent prices added:
Bottled Water (0.33 Liter) in Jakarta costs Rp3,000.00 (about 24 minutes ago)
1 Bedroom Apartment Outside of City Centre in Chapala costs Mex$10,000.00 (about 1 hour ago)
One-Way Ticket (Local Transport) in Arequipa costs S/.1.50 (about 2 hours ago)
Jeans (Levi's 501 or Similar) in Los Angeles, CA costs $100.00 (about 2 hours ago)
Monthly Public Transport Pass (Regular Price) in New York, NY costs $160.00 (about 2 hours ago)
Monthly Fitness Club Membership in San Antonio, TX costs $85.00 (about 2 hours ago)
Combo Meal at McDonald's (or Equivalent Fast-Food Meal) in Santa Ana costs ₡8,000.00 (about 3 hours ago)
Combo Meal at McDonald's (or Equivalent Fast-Food Meal) in Melbourne costs $12.00 (about 3 hours ago)
International Primary School, Annual Tuition per Child in Toronto costs C$15,000.00 (about 3 hours ago)
Bottled Water (0.33 Liter) in argentina costs S/.7.00 (about 5 hours 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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