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.
9,415,194 prices in 12,195 cities entered by 841,926 contributors
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Recent prices added:
Loaf of Fresh White Bread (500g) in Paris costs 1.00€ (about 1 minute ago)
Meal for 2 People, Mid-range Restaurant, Three-course in Grand Bay costs 3,000.00Rs (about 3 minutes ago)
Apartment (1 bedroom) Outside of Centre in Kikinda costs 11,000.00Дин (about 6 minutes ago)
Price per Square Meter to Buy Apartment Outside of Centre in Panaji costs 65,000.00₹ (about 26 minutes ago)
Internet (60 Mbps or More, Unlimited Data, Cable/ADSL) in Istanbul costs 1,000.00TL (about 32 minutes ago)
Apartment (1 bedroom) Outside of Centre in Galway costs 1,900.00€ (about 34 minutes ago)
Average Monthly Net Salary (After Tax) in Dubai is 18,000.00AED (about 35 minutes ago)
Apartment (1 bedroom) in City Centre in Frankfurt costs 650.00€ (about 36 minutes ago)
Price per Square Meter to Buy Apartment in City Centre in Astana (Nur-Sultan) costs 677,000.00₸ (about 37 minutes ago)
McMeal at McDonalds (or Equivalent Combo Meal) in Hamilton costs 12.00$ (about 39 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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