Dark Mode
Global Urban Expense Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Data on the cost of living across 578 global cities for 2022. This dataset offers key economic indicators such as rent, groceries, restaurant prices, and local purchasing power, providing insight into urban expenses worldwide. It serves as a valuable resource for understanding the economic landscape of different urban areas.
Columns
- Rank: The numerical rank of the city based on its cost of living.
- City: The name of the city. There are 578 unique city names in the dataset.
- Cost of Living Index: An index reflecting the overall cost of living. Values range from 18.55 to 149.02, with a mean of 57.5 and a standard deviation of 21.6.
- Rent Index: An index indicating rent costs. Values span from 2.37 to 108.42, with a mean of 26.7 and a standard deviation of 17.8.
- Cost of Living Index Plus Rent Index: A combined index factoring in both cost of living and rent. This index ranges from 10.97 to 124.22, with a mean of 43.1 and a standard deviation of 18.9.
- Groceries Index: An index for the cost of groceries. Values are between 15.22 and 157.89, with a mean of 53.6 and a standard deviation of 22.1.
- Restaurant Price Index: An index for prices in restaurants. Values range from 11.39 to 155.22, with a mean of 54.4 and a standard deviation of 25.8.
- Local Purchasing Power Index: An index measuring the local purchasing power. Values are between 1.62 and 172.98, with a mean of 71.5 and a standard deviation of 34.2.
Distribution
The dataset is provided in a CSV format, named
costofliving.csv, and has a size of 34.51 kB. It contains 578 records, each with 8 columns, covering various indices for cities. All key index columns (Cost of Living, Rent, Cost of Living Plus Rent, Groceries, Restaurant Price, Local Purchasing Power) have valid data for all 578 records.Usage
This dataset is ideal for data analytics, real estate market analysis, economic research, and studies focusing on global cities and urban areas. It can also serve as an excellent resource for beginners exploring data analysis.
Coverage
The dataset's scope is global, covering 578 cities worldwide. The data pertains to the year 2022. It focuses on economic aspects of urban living and does not contain specific demographic information.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for data analysts, economists, urban planners, real estate professionals, and students. It is particularly useful for those seeking to compare living costs across different cities, assess urban economic conditions, or conduct market research. Its beginner-friendly nature also makes it accessible to those new to data analytics.
Dataset Name Suggestions
- 2022 Global City Living Costs
- Urban Cost of Living Metrics 2022
- City Price Index 2022
- Global Urban Expense Data
- Worldwide City Affordability 2022
Attributes
Original Data Source: Global Urban Expense Data
QUALITY