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.
9,416,604 prices in 12,203 cities entered by 842,094 contributors
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Recent prices added:
Price per Square Meter to Buy Apartment Outside of Centre in Livno costs 5,800.00KM (about 7 minutes ago)
Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in Tlalpan is 11.00 (about 12 minutes ago)
Average Monthly Net Salary (After Tax) in Renton, WA is 2,800.00$ (about 14 minutes ago)
Coke/Pepsi (0.33 liter bottle) in Leskovac costs 180.00Дин (about 16 minutes ago)
Coke/Pepsi (0.33 liter bottle) in Athens costs 1.00€ (about 24 minutes ago)
Apartment (1 bedroom) Outside of Centre in Maastricht costs 650.00€ (about 26 minutes ago)
Average Monthly Net Salary (After Tax) in Beirut is 650.00$ (about 27 minutes ago)
Apartment (1 bedroom) Outside of Centre in Dubrovnik costs 1,200.00€ (about 28 minutes ago)
Price per Square Meter to Buy Apartment Outside of Centre in San Jose, CA costs 12,916.69$ (about 35 minutes ago)
Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in San Diego, CA is 8.00 (about 35 minutes 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 by sharing local price information to further help improve the accuracy and reliability of the data.

  

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