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. 
    
    9,567,956 prices in 12,528 cities entered by 865,128 contributors 
    
    
    
    
             
  
   
Recent prices added:  
Average Monthly Net Salary (After Tax) in 
San Francisco, CA  is 6,666.67$ 
(about 22 minutes ago)  
Tennis Court Rental (1 Hour, Weekend) in 
Charlotte, NC  costs 0.00$ 
(about 39 minutes ago)  
1 Bedroom Apartment in City Centre in 
Taguig City  costs 35,000.00₱ 
(about 55 minutes ago)  
Bottled Water (0.33 Liter) in 
Augusta, GA  costs 3.00$ 
(about 1 hour ago)  
Fresh White Bread (500 g Loaf) in 
Udaipur  costs 21.00₹ 
(about 1 hour ago)  
Private Full-Day Preschool or Kindergarten, Monthly Fee per Child in 
Panama City  costs 500.00$ 
(about 1 hour ago)  
Average Monthly Net Salary (After Tax) in 
Denton, TX  is 3,000.00$ 
(about 1 hour ago)  
Annual Mortgage Interest Rate (20-Year Fixed, in %) in 
Mumbai  is 8.50 
(about 1 hour ago)  
Meal at an Inexpensive Restaurant in 
new delhi  costs 67.00₹ 
(about 1 hour ago)  
Average Monthly Net Salary (After Tax) in 
Shenzhen  is 6,000.00¥ 
(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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Numbeo data has been cited in the following publications:
 
             
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