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.
9,556,189 prices in 12,482 cities entered by 861,602 contributors
Recent prices added:
International Primary School, Yearly for 1 Child in
Mackay costs 9,500.00A$
(about 28 seconds ago)
Apartment (1 bedroom) Outside of Centre in
Madrid costs 700.00€
(about 14 minutes ago)
Internet (60 Mbps or More, Unlimited Data, Cable/ADSL) in
El Jadida costs 200.00MAD
(about 55 minutes ago)
Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in
Brownsburg, IN is 4.00
(about 57 minutes ago)
Average Monthly Net Salary (After Tax) in
San Salvador is 370.00$
(about 1 hour ago)
1 Pair of Nike Running Shoes (Mid-Range) in
Fairfield, CT costs 60.00$
(about 1 hour ago)
McMeal at McDonalds (or Equivalent Combo Meal) in
Munich costs 10.00€
(about 1 hour ago)
Average Monthly Net Salary (After Tax) in
Costa Mesa, CA is 5,000.00$
(about 1 hour ago)
Mobile Phone Monthly Plan with Calls and 10GB+ Data in
Wichita, KS costs 50.00$
(about 2 hours ago)
Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate in
Vancouver is 3.79
(about 3 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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