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.
9,456,998 prices in 12,274 cities entered by 846,474 contributors
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Recent prices added:
Meal for 2 People, Mid-range Restaurant, Three-course in Baltimore, MD costs 85.00$ (about 3 minutes ago)
Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in Casablanca is 7.20 (about 6 minutes ago)
Internet (60 Mbps or More, Unlimited Data, Cable/ADSL) in Tashkent costs 165,000.00лв (about 10 minutes ago)
Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in Seoul is 4.00 (about 19 minutes ago)
Apartment (1 bedroom) Outside of Centre in Klaipeda costs 260.00€ (about 24 minutes ago)
Basic (Electricity, Heating, Cooling, Water, Garbage) for 85m2 Apartment in Kiev (Kyiv) costs 6,500.00₴ (about 35 minutes ago)
One-way Ticket (Local Transport) in Reykjavik costs 670.00kr (about 40 minutes ago)
Loaf of Fresh White Bread (500g) in Hong Kong costs 20.00HK$ (about 42 minutes ago)
One-way Ticket (Local Transport) in Dnipro costs 18.00₴ (about 53 minutes ago)
Meal for 2 People, Mid-range Restaurant, Three-course in Beirut costs 60.00$ (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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