Cost of Living

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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.
9,434,196 prices in 12,226 cities entered by 843,328 contributors
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Recent prices added:
Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in Santo Domingo is 14.00 (about 18 minutes ago)
Average Monthly Net Salary (After Tax) in Manchester is 2,500.00€ (about 22 minutes ago)
Average Monthly Net Salary (After Tax) in Paralimni is 1,000.00€ (about 23 minutes ago)
Loaf of Fresh White Bread (500g) in Phoenix, AZ costs 6.61$ (about 34 minutes ago)
Apartment (3 bedrooms) Outside of Centre in Edmonton costs 2,500.00C$ (about 35 minutes ago)
Mobile Phone Monthly Plan with Calls and 10GB+ Data in Edmond, OK costs 50.00C$ (about 36 minutes ago)
Meal for 2 People, Mid-range Restaurant, Three-course in Manila costs 1,800.00₱ (about 56 minutes ago)
Basic (Electricity, Heating, Cooling, Water, Garbage) for 85m2 Apartment in Petah Tikva costs 1,000.00₪ (about 1 hour ago)
Tennis Court Rent (1 Hour on Weekend) in Algarve costs 25.00€ (about 1 hour ago)
Apartment (1 bedroom) in City Centre in Haifa costs 3,113.00₪ (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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