Cost of Living

Numbeo is the world’s largest cost of living database. Numbeo is also a crowd-sourced global database of quality of life data: housing indicators, perceived crime rates, healthcare quality, transport quality, and other statistics.
9,350,943 prices in 11,649 cities entered by 798,831 contributors
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Recent prices added:
Average Monthly Net Salary (After Tax) in Ostrava is 10,530.00Kč (about 4 minutes ago)
Price per Square Meter to Buy Apartment in City Centre in Changsha costs 12,000.00¥ (about 4 minutes ago)
Apartment (3 bedrooms) in City Centre in Holon costs 7,000.00₪ (about 4 minutes ago)
Tennis Court Rent (1 Hour on Weekend) in Surfers Paradise. Gold Coast. Queensland. costs 21.00A$ (about 5 minutes ago)
Basic (Electricity, Heating, Cooling, Water, Garbage) for 85m2 Apartment in Gramado costs 300.00R$ (about 7 minutes ago)
Internet (60 Mbps or More, Unlimited Data, Cable/ADSL) in Sutomore costs 60.00€ (about 32 minutes ago)
Apartment (3 bedrooms) Outside of Centre in Zurich costs 4,600.00Fr. (about 36 minutes ago)
Price per Square Meter to Buy Apartment Outside of Centre in Seattle, WA costs 8,611.13$ (about 49 minutes ago)
Meal for 2 People, Mid-range Restaurant, Three-course in Colombo costs 6,000.00Rs (about 53 minutes ago)
1 Pair of Men Leather Business Shoes in Huntsville, AL costs 250.00$ (about 56 minutes ago)

Numbeo provides an online software tool that offers a range of features to help individuals see, share, and compare information on the cost of living worldwide. These features include:

  • enabling website visitors to view current prices
  • utilizing the wisdom of the crowd to get as reliable data as possible
  • providing a system for conducting systematic research on cost of living and property markets
  • calculating derived indices such as the cost of living index and local purchasing power
  • offering a platform for conducting other systematic economic research on a huge dataset of worldwide data

If you find Numbeo helpful, you can contribute to the community by sharing your local cost knowledge to further improve the accuracy of the information available.

  

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