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.
9,837,181 prices in 12,769 cities entered by 881,666 contributors
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Recent prices added:
Annual Mortgage Interest Rate (20-Year Fixed, in %) in Brno is 4.00 (about 22 minutes ago)
Cappuccino (Regular Size) in Zurich costs 6.00 Fr. (about 25 minutes ago)
Meal for Two at a Mid-Range Restaurant (Three Courses, Without Drinks) in Haarlem costs €70.00 (about 58 minutes ago)
Fresh White Bread (500 g Loaf) in Chattanooga, TN costs $3.78 (about 1 hour ago)
Average Monthly Net Salary (After Tax) in Wuhan is ¥6,200.00 (about 1 hour ago)
Tennis Court Rental (1 Hour, Weekend) in Neuchatel costs 35.00 Fr. (about 1 hour ago)
Average Monthly Net Salary (After Tax) in Madrid is €2,050.00 (about 1 hour ago)
Meal for Two at a Mid-Range Restaurant (Three Courses, Without Drinks) in Warsaw costs 320.00 zł (about 1 hour ago)
Meal for Two at a Mid-Range Restaurant (Three Courses, Without Drinks) in Amersfoort costs €60.00 (about 1 hour ago)
Jeans (Levi's 501 or Similar) in Aalborg costs 800.00 kr (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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