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.
9,627,970 prices in 12,559 cities entered by 867,595 contributors
Recent prices added:
Meal for Two at a Mid-Range Restaurant (Three Courses, Without Drinks) in
Salisbury, MD costs 107.00$
(about 24 minutes ago)
1 Bedroom Apartment in City Centre in
Toronto costs 2,800.00C$
(about 25 minutes ago)
Cinema Ticket (International Release) in
Hua Hin costs 200.00฿
(about 40 minutes ago)
Eggs (12, Large Size) in
Montreal costs 4.09C$
(about 48 minutes ago)
Annual Mortgage Interest Rate (20-Year Fixed, in %) in
Hyderabad is 8.00
(about 49 minutes ago)
Beef Round or Equivalent Back Leg Red Meat (1 kg) in
Salt Lake City, UT costs 22.05$
(about 1 hour ago)
Monthly Public Transport Pass (Regular Price) in
Hong Kong costs 834.00HK$
(about 1 hour ago)
Private Full-Day Preschool or Kindergarten, Monthly Fee per Child in
Singapore costs 2,400.00S$
(about 2 hours ago)
Price per Square Meter to Buy Apartment Outside of Centre in
Dubai costs 21,527.82AED
(about 2 hours ago)
1 Bedroom Apartment Outside of City Centre in
New York, NY costs 4,000.00$
(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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