This is a comparison of the cost of living in various cities, as gathered by popular site numbeo. All data belongs to them and has been shared with permission
Currency is Euro
Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods prices, including groceries, restaurants, transportation and utilities. Cost of Living Index does not include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo has estimated it is 20% more expensive than New York (excluding rent).
Please refer further to: https://www.numbeo.com/cost-of-living/cpi_explained.jsp for motivation and methodology.
All credits to https://www.numbeo.com .
This dataset would surely help socio-economic researchers to analyse and get deeper insights regarding the life of people country-wise.
Thanks to @andradaolteanu for the motivation! Upwards and onwards...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Property Prices Index By City 2009 to 2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/jolenech/property-prices-index-by-city-2009-to-2021 on 13 February 2022.
--- Dataset description provided by original source is as follows ---
I wanted to see how affordable housing is across countries and wanted to compare the price of housing. But I could not find a properly documented and easily downloaded dataset hence I created one with the help of web-scraping with Python and Pandas.
I spent a lot of time searching for a source for the information I wanted in order to compare affordability. I stumbled upon a great website which was exactly what I was looking for Numbeo The website has a lot of details like affordability index, prime to income ratio, price to rent ratios in and out of city centre and more!
Now I had the data, I needed to download it. Since I couldn't get the raw form of the data, I did web scraping in order to get details in the table for 2009 to 2021 using a for loop to go through all links and create csv files for every year.
Details of columns Note: There are a few null values in the 2009 dataset (mortgage and Affordability Index columns.
Check out the code I used on Github.
I couldn't have gotten the data without Numbeo!
I was working on a project trying to see if Price of Housing in Singapore can be justified and wanted more data that's global instead of just from Singapore. Let me know if you have any questions!
--- Original source retains full ownership of the source dataset ---
A list of some key resources for comparing London with other world cities.
European Union/Eurostat, Urban Audit
Arcadis, Sustainable cities index
AT Kearney, Global Cities Index
McKinsey, Urban world: Mapping the economic power of cities
Knight Frank, Wealth report
OECD, Better Life Index
UNODC, Statistics on drugs, crime and criminal justice at the international level
Economist, Hot Spots
Economist, Global Liveability Ranking and Report August 2014
Mercer, Quality of Living Reports
Forbes, World's most influential cities
Mastercard, Global Destination Cities Index
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Average USD internet prices among 679 cities across the world. The 2010 - 2020 year data.
This dataset is one of the public parts of City API project data. Need more? Try our full data
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset contains information about the cost of living in almost 5000 cities across the world. The data were gathered by scraping Numbeo's website (https://www.numbeo.com).
Column | Description |
---|---|
city | Name of the city |
country | Name of the country |
x1 | Meal, Inexpensive Restaurant (USD) |
x2 | Meal for 2 People, Mid-range Restaurant, Three-course (USD) |
x3 | McMeal at McDonalds (or Equivalent Combo Meal) (USD) |
x4 | Domestic Beer (0.5 liter draught, in restaurants) (USD) |
x5 | Imported Beer (0.33 liter bottle, in restaurants) (USD) |
x6 | Cappuccino (regular, in restaurants) (USD) |
x7 | Coke/Pepsi (0.33 liter bottle, in restaurants) (USD) |
x8 | Water (0.33 liter bottle, in restaurants) (USD) |
x9 | Milk (regular), (1 liter) (USD) |
x10 | Loaf of Fresh White Bread (500g) (USD) |
x11 | Rice (white), (1kg) (USD) |
x12 | Eggs (regular) (12) (USD) |
x13 | Local Cheese (1kg) (USD) |
x14 | Chicken Fillets (1kg) (USD) |
x15 | Beef Round (1kg) (or Equivalent Back Leg Red Meat) (USD) |
x16 | Apples (1kg) (USD) |
x17 | Banana (1kg) (USD) |
x18 | Oranges (1kg) (USD) |
x19 | Tomato (1kg) (USD) |
x20 | Potato (1kg) (USD) |
x21 | Onion (1kg) (USD) |
x22 | Lettuce (1 head) (USD) |
x23 | Water (1.5 liter bottle, at the market) (USD) |
x24 | Bottle of Wine (Mid-Range, at the market) (USD) |
x25 | Domestic Beer (0.5 liter bottle, at the market) (USD) |
x26 | Imported Beer (0.33 liter bottle, at the market) (USD) |
x27 | Cigarettes 20 Pack (Marlboro) (USD) |
x28 | One-way Ticket (Local Transport) (USD) |
x29 | Monthly Pass (Regular Price) (USD) |
x30 | Taxi Start (Normal Tariff) (USD) |
x31 | Taxi 1km (Normal Tariff) (USD) |
x32 | Taxi 1hour Waiting (Normal Tariff) (USD) |
x33 | Gasoline (1 liter) (USD) |
x34 | Volkswagen Golf 1.4 90 KW Trendline (Or Equivalent New Car) (USD) |
x35 | Toyota Corolla Sedan 1.6l 97kW Comfort (Or Equivalent New Car) (USD) |
x36 | Basic (Electricity, Heating, Cooling, Water, Garbage) for 85m2 Apartment (USD) |
x37 | 1 min. of Prepaid Mobile Tariff Local (No Discounts or Plans) (USD) |
x38 | Internet (60 Mbps or More, Unlimited Data, Cable/ADSL) (USD) |
x39 | Fitness Club, Monthly Fee for 1 Adult (USD) |
x40 | Tennis Court Rent (1 Hour on Weekend) (USD) |
x41 | Cinema, International Release, 1 Seat (USD) |
x42 | Preschool (or Kindergarten), Full Day, Private, Monthly for 1 Child (USD) |
x43 | International Primary School, Yearly for 1 Child (USD) |
x44 | 1 Pair of Jeans (Levis 501 Or Similar) (USD) |
x45 | 1 Summer Dress in a Chain Store (Zara, H&M, ...) (USD) |
x46 | 1 Pair of Nike Running Shoes (Mid-Range) (USD) |
x47 | 1 Pair of Men Leather Business Shoes (USD) |
x48 | Apartment (1 bedroom) in City Centre (USD) |
x49 | Apartment (1 bedroom) Outside of Centre (USD) |
x50 | Apartment (3 bedrooms) in City Centre (USD) |
x51 | Apartment (3 bedrooms) Outside of Centre (USD) |
x52 | Price per Square Meter to Buy Apartment in City Centre (USD) |
x53 | Price per Square Meter to Buy Apartment Outside of Centre (USD) |
x54 | Average Monthly Net Salary (After Tax) (USD) |
x55 | Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate |
data_quality | 0 if Numbeo considers that more contributors are needed to increase data quality, else 1 |
Список деяких ключових ресурсів для порівняння Лондона з іншими містами світу.
Європейський Союз/Євростат, Міський аудит
Аркадіс, Індекс сталих міст
На Kearney, Глобальний індекс міст
McKinsey, Міський світ: Картування економічної могутності міст
Knight Frank, Звіт про багатство
OECD, Індекс кращого життя
UNODC, Статистика про наркотики, злочинність та кримінальне правосуддя на міжнародному рівні
Економіст, Гарячі плями
Економіст, Global Liveability Ranking and Report August 2014
Мерсер, Якість живих звітів
PwC, Місто можливостей
Forbes, Найвпливовіші міста світу
MasterCard, Індекс глобальних міст призначення
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Data was initially taken from Numbeo as an aggregation of user voting.
This dataset is one of the public parts of City API project data. Need more? Try our full data
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This is a comparison of the cost of living in various cities, as gathered by popular site numbeo. All data belongs to them and has been shared with permission
Currency is Euro