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City Population and Growth Rate Analysis
Data Science and Analytics
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About
An exploration of urban population dynamics, this data provides population figures for cities across the globe for the years 2022 and 2023. It captures the shifting demographics of major urban centres, highlighting the most populous cities, many of which are located in China and India, such as Shanghai, Beijing, Delhi, and Mumbai. The data also includes globally significant cities like Tokyo, Mexico City, and Cairo. Beyond just the largest metropolises, it covers culturally rich cities with smaller populations, offering a broad view of global urbanisation trends. It is designed for demographic analysis, urban studies, and data visualisation projects.
Columns
- Pop2023: The total population of the city for the year 2023.
- Pop2022: The total population of the city for the year 2022.
- City: The name of the city.
- Country: The country where the city is located.
- Continent: The continent where the city is located.
- growthRate: The percentage of population growth between 2022 and 2023.
- rank: The city's population rank.
Distribution
- Format: The data is provided in a single CSV file.
- Size: The file size is approximately 40.51 kB.
- Structure: The dataset contains 778 records across 7 distinct columns.
Usage
This data is ideal for demographic research, comparative urban studies, and creating data visualisations that illustrate population trends. Analysts can use it to track urban growth, while researchers can explore the distribution of populations across different continents and countries. It is also suitable for educational purposes to teach concepts related to geography and social studies.
Coverage
- Geographic: The dataset has a global scope, featuring 774 unique cities from 132 different countries across 6 continents. There is a notable concentration of cities from Asia, particularly China and India.
- Time Range: The data specifically covers population figures for the years 2022 and 2023, along with the growth rate between these two years.
- Update Frequency: This dataset is expected to be updated on an annual basis.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: For performing trend analysis on urban population growth.
- Urban Planners: To gain insights into demographic shifts in major cities worldwide.
- Researchers and Academics: For studies in fields like demography, geography, and social sciences.
- Journalists: To create data-driven stories and reports on global population trends.
Dataset Name Suggestions
- Global City Population Trends 2022-2023
- World Urban Demographics
- City Population and Growth Rate Analysis
- Annual Urban Population Statistics
Attributes
Original Data Source: City Population and Growth Rate Analysis
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