Cost of Living
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.
9,661,010 prices in 12,575 cities entered by 868,496 contributors
Recent prices added:
Nike Running Shoes (Mid-Range) in
Longueuil costs 150.00C$
(about 10 seconds ago)
Soft Drink (Coca-Cola or Pepsi, 0.33 Liter Bottle) in
London costs 3.00£
(about 9 minutes ago)
3 Bedroom Apartment Outside of City Centre in
Edmonton costs 2,200.00C$
(about 20 minutes ago)
Private Full-Day Preschool or Kindergarten, Monthly Fee per Child in
Charlottesville, VA costs 1,600.00$
(about 28 minutes ago)
Basic Utilities for 85 m
2 Apartment (Electricity, Heating, Cooling, Water, Garbage) in
Bergamo costs 190.00€
(about 44 minutes ago)
One-Way Ticket (Local Transport) in
Dresden costs 3.70€
(about 47 minutes ago)
Tennis Court Rental (1 Hour, Weekend) in
Karachi costs 8,000.00Rs.
(about 1 hour ago)
Domestic Draft Beer (0.5 Liter) in
Phuket costs 90.00฿
(about 1 hour ago)
Price per Square Meter to Buy Apartment Outside of Centre in
Fethiye costs 55,000.00TL
(about 2 hours ago)
3 Bedroom Apartment Outside of City Centre in
Haarlem costs 1,250.00€
(about 2 hours 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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