Cost of Living - Country Rankings Dataset
The "Cost of Living - Country Rankings Dataset" provides comprehensive information on the cost of living in various countries around the world. Understanding the cost of living is crucial for individuals, businesses, and policymakers alike, as it impacts decisions related to travel, relocation, investment, and economic analysis. This dataset is intended to serve as a valuable resource for researchers, data analysts, and anyone interested in exploring and comparing the cost of living across different nations.
This dataset comprises four primary columns:
1. Countries: This column contains the names of various countries included in the dataset. Each country is identified by its official name.
2. Cost of Living: The "Cost of Living" column represents the cost of living index or score for each country. This index is typically calculated by considering various factors, such as housing, food, transportation, healthcare, and other essential expenses. A higher index value indicates a higher cost of living in that particular country, while a lower value suggests a more affordable cost of living.
3. 2017 Global Rank: This column provides the global ranking of each country's cost of living in the year 2017. The ranking is based on the cost of living index mentioned earlier. A lower rank indicates a lower cost of living relative to other countries, while a higher rank suggests a higher cost of living position.
4. Available Data: The "Available Data" column indicates whether or not data for a specific country and year is available.
This dataset is designed to support various data analysis and visualization tasks. Users can explore trends in the cost of living, identify countries with high or low cost of living, and analyze how rankings have changed over time. Researchers can use this dataset to conduct in-depth studies on the factors influencing the cost of living in different regions and the economic implications of such variations.
Please note that the dataset includes information for the year 2017, and users are encouraged to consider this when interpreting the data, as economic conditions and the cost of living may have changed since then. Additionally, this dataset aims to provide a snapshot of cost of living rankings for countries in 2017 and may not cover every country in the world.
Link: https://www.theglobaleconomy.com/rankings/cost_of_living_wb/
Disclaimer: The accuracy and completeness of the data provided in this dataset are subject to the source from which it was obtained. Users are advised to cross-reference this data with authoritative sources and exercise discretion when making decisions based on it. The dataset creator and Kaggle assume no responsibility for any actions taken based on the information provided herein.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The average for 2021 based on 165 countries was 79.81 index points. The highest value was in Bermuda: 212.7 index points and the lowest value was in Syria: 33.25 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.
Zurich, Lausanne, and Geneva were ranked as the most expensive cities worldwide with indices of ************************ Almost half of the 11 most expensive cities were in Switzerland.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset provides insights into the cost of living and average monthly income across various countries and regions worldwide from 2000 to 2023. It includes critical economic indicators such as housing costs, taxes, healthcare, education, transportation expenses, and savings rates. The data is ideal for analyzing economic trends, regional comparisons, and financial planning.
Column Descriptions: Country: The name of the country where the data was recorded. Region: The geographical region to which the country belongs (e.g., Asia, Europe). Year: The year when the data was recorded. Average_Monthly_Income: The average monthly income of individuals in USD. Cost_of_Living: The average monthly cost of living in USD, including essentials like housing, food, and utilities. Housing_Cost_Percentage: The percentage of income spent on housing expenses. Tax_Rate: The average tax rate applied to individuals' income, expressed as a percentage. Savings_Percentage: The portion of income saved monthly, expressed as a percentage. Healthcare_Cost_Percentage: The percentage of income spent on healthcare services. Education_Cost_Percentage: The percentage of income allocated to educational expenses. Transportation_Cost_Percentage: The percentage of income spent on transportation costs.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Cost of Living Index data was reported at 7,726.308 1913=1 in 2017. This records an increase from the previous number of 7,642.160 1913=1 for 2016. Cost of Living Index data is updated yearly, averaging 5.167 1913=1 from Dec 1861 (Median) to 2017, with 157 observations. The data reached an all-time high of 7,726.308 1913=1 in 2017 and a record low of 0.766 1913=1 in 1865. Cost of Living Index data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.I030: Cost of Living Index: 1913=1.
The Cost of living rating evaluates how much ordinary living expenses cost in different countries, including food, housing, necessary goods, services, medical insurance and other aspects.
West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.
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
A table comparing the cost of living in various European Union countries, including expenses for rent, utilities, food, and transportation in major cities
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The average for 2021 based on 20 countries was 97.17 index points. The highest value was in Bermuda: 212.7 index points and the lowest value was in Nicaragua: 49.42 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.
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 |
South Korea's capital Seoul had the highest cost of living among megacities in the Asia-Pacific region in 2024, with an index score of ****. Japan's capital Tokyo followed with a cost of living index score of ****. AffordabilityIn terms of housing affordability, Chinese megacity Shanghai had the highest rent index score in 2024. Affordability has become an issue in certain megacities across the Asia-Pacific region, with accommodation proving expensive. Next to Shanghai, Japanese capital Tokyo and South Korean capital Seoul boast some of the highest rent indices in the region. Increased opportunities in megacitiesAs the biggest region in the world, it is not surprising that the Asia-Pacific region is home to 28 megacities as of January 2024, with expectations that this number will dramatically increase by 2030. The growing number of megacities in the Asia-Pacific region can be attributed to raised levels of employment and living conditions. Cities such as Tokyo, Shanghai, and Beijing have become economic and industrial hubs. Subsequently, these cities have forged a reputation as being the in-trend places to live among the younger generations. This reputation has also pushed them to become enticing to tourists, with Tokyo displaying increased numbers of tourists throughout recent years, which in turn has created more job opportunities for inhabitants. As well as Tokyo, Shanghai has benefitted from the increased tourism, and has demonstrated an increasing population. A big factor in this population increase could be due to the migration of citizens to the city, seeking better employment possibilities.
Damascus in Syria was ranked as the least expensive city worldwide in 2023, with an index score of ** out of 100. The country has been marred by civil war over the last decade, hitting the country's economy hard. Other cities in the Middle East and North Africa, such as Tehran, Tripoli, and Tunis, are also present on the list. On the other hand, Singapore and Zurich were ranked the most expensive cities in the world.
As of 2022, Israel had the highest price level index among listed countries, amounting to 138, with 100 being the average of OECD countries. Switzerland and Iceland followed on the places behind. On the other hand, Turkey and India had the lowest price levels compared to the OECD average. This price index shows differences in price levels in different countries. Another very popular index indicating the value of money is the Big Mac index, showing how much a Big Mac costs in different countries. This list was also topped by Switzerland in 2023.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Argentina: Cost of living index, world average = 100: The latest value from 2021 is 61.38 index points, a decline from 93.54 index points in 2017. In comparison, the world average is 79.81 index points, based on data from 165 countries. Historically, the average for Argentina from 2017 to 2021 is 77.46 index points. The minimum value, 61.38 index points, was reached in 2021 while the maximum of 93.54 index points was recorded in 2017.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Cost of Living Index data was reported at 1,960.000 Oct1951=100 in Nov 2018. This stayed constant from the previous number of 1,960.000 Oct1951=100 for Oct 2018. Cost of Living Index data is updated monthly, averaging 978.000 Oct1951=100 from Oct 1951 (Median) to Nov 2018, with 806 observations. The data reached an all-time high of 1,960.000 Oct1951=100 in Nov 2018 and a record low of 98.000 Oct1951=100 in Mar 1955. Cost of Living Index data remains active status in CEIC and is reported by Statistics Finland. The data is categorized under Global Database’s Finland – Table FI.I014: Cost of Living Index: October 1951=100.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Morocco: Cost of living index, world average = 100: The latest value from 2021 is 67.61 index points, an increase from 63.47 index points in 2017. In comparison, the world average is 79.81 index points, based on data from 165 countries. Historically, the average for Morocco from 2017 to 2021 is 65.54 index points. The minimum value, 63.47 index points, was reached in 2017 while the maximum of 67.61 index points was recorded in 2021.
The graph shows the world's most expensive cities to live, compared to New York City. Zurich is with a value of *** the most expensive city to live.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Kazakhstan Cost of Living: Average per Capita data was reported at 28,620.000 KZT in Oct 2018. This records a decrease from the previous number of 28,690.000 KZT for Sep 2018. Kazakhstan Cost of Living: Average per Capita data is updated monthly, averaging 13,073.000 KZT from Oct 2000 (Median) to Oct 2018, with 217 observations. The data reached an all-time high of 29,146.000 KZT in Aug 2018 and a record low of 3,983.000 KZT in Oct 2000. Kazakhstan Cost of Living: Average per Capita data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.H012: Cost of Living: Average per Capita.
https://lida.dataverse.lt/api/datasets/:persistentId/versions/4.1/customlicense?persistentId=hdl:21.12137/TGJEJAhttps://lida.dataverse.lt/api/datasets/:persistentId/versions/4.1/customlicense?persistentId=hdl:21.12137/TGJEJA
This dataset contains data on monthly cost of living index in Estonia in 1919-1939. Dataset "Monthly Cost of Living Index in Estonia, 1919-1939" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".
Cost of Living - Country Rankings Dataset
The "Cost of Living - Country Rankings Dataset" provides comprehensive information on the cost of living in various countries around the world. Understanding the cost of living is crucial for individuals, businesses, and policymakers alike, as it impacts decisions related to travel, relocation, investment, and economic analysis. This dataset is intended to serve as a valuable resource for researchers, data analysts, and anyone interested in exploring and comparing the cost of living across different nations.
This dataset comprises four primary columns:
1. Countries: This column contains the names of various countries included in the dataset. Each country is identified by its official name.
2. Cost of Living: The "Cost of Living" column represents the cost of living index or score for each country. This index is typically calculated by considering various factors, such as housing, food, transportation, healthcare, and other essential expenses. A higher index value indicates a higher cost of living in that particular country, while a lower value suggests a more affordable cost of living.
3. 2017 Global Rank: This column provides the global ranking of each country's cost of living in the year 2017. The ranking is based on the cost of living index mentioned earlier. A lower rank indicates a lower cost of living relative to other countries, while a higher rank suggests a higher cost of living position.
4. Available Data: The "Available Data" column indicates whether or not data for a specific country and year is available.
This dataset is designed to support various data analysis and visualization tasks. Users can explore trends in the cost of living, identify countries with high or low cost of living, and analyze how rankings have changed over time. Researchers can use this dataset to conduct in-depth studies on the factors influencing the cost of living in different regions and the economic implications of such variations.
Please note that the dataset includes information for the year 2017, and users are encouraged to consider this when interpreting the data, as economic conditions and the cost of living may have changed since then. Additionally, this dataset aims to provide a snapshot of cost of living rankings for countries in 2017 and may not cover every country in the world.
Link: https://www.theglobaleconomy.com/rankings/cost_of_living_wb/
Disclaimer: The accuracy and completeness of the data provided in this dataset are subject to the source from which it was obtained. Users are advised to cross-reference this data with authoritative sources and exercise discretion when making decisions based on it. The dataset creator and Kaggle assume no responsibility for any actions taken based on the information provided herein.