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.

9,483,593 prices in 12,352 cities entered by 851,992 contributors

Your city is not here? Tell us about cost of living in your city!

Recent prices added:

One-way Ticket (Local Transport) in Tomsk costs 32.00руб (about 1 minute ago)

Apartment (1 bedroom) Outside of Centre in Krakow (Cracow) costs 2,300.00zł (about 14 minutes ago)

International Primary School, Yearly for 1 Child in Newcastle upon Tyne costs 14,000.00£ (about 33 minutes ago)

Apartment (1 bedroom) Outside of Centre in Saint Petersburg costs 40,000.00руб (about 34 minutes ago)

Average Monthly Net Salary (After Tax) in Beijing is 14,000.00¥ (about 40 minutes ago)

Cinema, International Release, 1 Seat in Tallinn costs 8.50€ (about 48 minutes ago)

Basic (Electricity, Heating, Cooling, Water, Garbage) for 85m2 Apartment in Ilford costs 83.50£ (about 58 minutes ago)

Domestic Beer (0.5 liter draught) in Ankara costs 100.00TL (about 1 hour ago)

Onion (1kg) in Adeje, Tenerife costs 1.85€ (about 1 hour ago)

Average Monthly Net Salary (After Tax) in Tolyatti (Togliatti) is 35,000.00руб (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.