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.

9,403,923 prices in 12,208 cities entered by 841,990 contributors

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

Recent prices added:

Milk (regular), (1 liter) in Alanya costs 70.00TL (about 7 minutes ago)

Cigarettes 20 Pack (Marlboro) in Siliana costs 11.00DT (about 12 minutes ago)

Apartment (3 bedrooms) in City Centre in Zurich costs 5,000.00Fr. (about 28 minutes ago)

Monthly Pass (Regular Price) in Chelmsford costs 77.33£ (about 42 minutes ago)

Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in Lysá nad Labem is 12.00 (about 50 minutes ago)

Price per Square Meter to Buy Apartment Outside of Centre in Arequipa costs 3,000.00S/. (about 53 minutes ago)

Mobile Phone Monthly Plan with Calls and 10GB+ Data in Lisbon costs 18.00€ (about 53 minutes ago)

Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in Canberra is 6.88 (about 1 hour ago)

Meal, Inexpensive Restaurant in Atlanta, GA costs 15.00$ (about 1 hour ago)

Apartment (1 bedroom) Outside of Centre in Madison, WI costs 1,490.00$ (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 by sharing local price information to further help improve the accuracy and reliability of the data.