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.
9,709,770 prices in 12,628 cities entered by 872,941 contributors
Recent prices added:
Gasoline (1 Liter) in
Muskegon, MI costs 0.79$
(about 14 minutes ago)
Average Monthly Net Salary (After Tax) in
Ottawa is 4,723.33C$
(about 24 minutes ago)
Annual Mortgage Interest Rate (20-Year Fixed, in %) in
Columbia, SC is 6.00
(about 24 minutes ago)
Combo Meal at McDonald's (or Equivalent Fast-Food Meal) in
Taipei costs 140.00NT$
(about 34 minutes ago)
Cigarettes (Pack of 20, Marlboro) in
Manila costs 145.00₱
(about 37 minutes ago)
Meal for Two at a Mid-Range Restaurant (Three Courses, Without Drinks) in
Mississauga costs 100.00C$
(about 1 hour ago)
Basic Utilities for 85 m
2 Apartment (Electricity, Heating, Cooling, Water, Garbage) in
Dharwad costs 2,200.00₹
(about 1 hour ago)
1 Bedroom Apartment Outside of City Centre in
Hyderabad costs 12,000.00₹
(about 1 hour ago)
Price per Square Meter to Buy Apartment Outside of Centre in
Changchun costs 8,000.00¥
(about 1 hour ago)
Average Monthly Net Salary (After Tax) in
Seoul is 4,765,000.00₩
(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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