Cost of Living

Numbeo is the world's largest cost of living database and a crowdsourced global resource for quality of life data. It provides insights into cost of living, housing price indicators, perceived crime rates, healthcare quality, transport quality, and various other key statistics.
9,457,504 prices in 12,274 cities entered by 846,521 contributors
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Recent prices added:
Cinema, International Release, 1 Seat in Cambridge, MA costs 20.00$ (about 10 minutes ago)
Meal for 2 People, Mid-range Restaurant, Three-course in Vancouver costs 120.00C$ (about 19 minutes ago)
Preschool (or Kindergarten), Full Day, Private, Monthly for 1 Child in Medellin costs 1,200,000.00Col$ (about 25 minutes ago)
Average Monthly Net Salary (After Tax) in Istanbul is 30,000.00TL (about 28 minutes ago)
Meal, Inexpensive Restaurant in Kislovodsk costs 1,000.00руб (about 49 minutes ago)
Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in Pyatigorsk is 23.00 (about 59 minutes ago)
Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in Glendale, AZ is 6.75 (about 1 hour ago)
McMeal at McDonalds (or Equivalent Combo Meal) in Brussels costs 20.00$ (about 1 hour ago)
1 Pair of Jeans (Levis 501 Or Similar) in Montreal costs 118.00C$ (about 1 hour ago)
Fitness Club, Monthly Fee for 1 Adult in Islamabad costs 10,000.00Rs. (about 1 hour ago)

Numbeo is an online platform that allows users to explore, share, and compare cost of living data worldwide. It offers a range of features, including:

  • viewing up-to-date price information
  • utilizing the wisdom of the crowd (crowdsourcing) to ensure the highest possible accuracy
  • providing tools for conducting systematic research on cost of living and property markets
  • calculating key indices such as the Cost of Living Index and Local Purchasing Power
  • offering a platform for conducting other systematic economic research on an extensive global dataset

If you find Numbeo useful, you can contribute by sharing local price information to further help improve the accuracy and reliability of the data.

  

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