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Global Urban Population Trends by Socio-Economic Level
Data Science and Analytics
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About
The percentage of the population living in urban areas on a global scale, covering the 21-year period from 2000 to 2020. It offers a detailed breakdown for each country, segmenting the data into three main levels: national, poverty status (poor and non-poor), and wealth quantiles (from the lowest 25% to the highest 25%). This allows for an analysis of urbanisation trends across different socio-economic groups within each nation, making it significant for social science research, economic analysis, and policy-making.
Columns
- Country: The name of the country.
- ISO_Code: The internationally recognised ISO country code.
- Level-Region: Identifies the population segment. This includes 'National' (for the country's total), 'Poverty' (segmented into 'Poor' and 'Nonpoor'), and 'Wealth Quantiles' (Lowest 25%, Second 25%, Third 25%, Highest 25%).
- 2000-2020: Individual columns for each year from 2000 to 2020, containing the percentage of the specified population segment living in urban areas.
Distribution
The dataset is distributed in a single CSV file named
GDL--population-in-urban-areas-data.csv, with a size of 103.4 kB. It contains 892 records across 25 columns.Usage
This dataset is ideal for a variety of analytical applications, including:
- Descriptive and Confirmatory Analysis: To understand and verify hypotheses about global urbanisation patterns.
- Predictive Analysis and Time Series Forecasting: To model future urbanisation trends based on historical data.
- Exploratory Data Analysis (EDA) & Visualisation: To uncover insights and create compelling visual representations of urban growth and socio-economic disparities.
Coverage
- Geographic: The dataset has a global scope, including data for 130 unique countries.
- Time Range: It covers the years 2000 to 2020.
- Demographic: Data is segmented by national totals, poverty status, and four wealth quantiles, providing a view across different socio-economic strata. Note that data availability varies by year, with more missing records in the earlier years of the period.
License
CC0: Public Domain
Who Can Use It
- Social Scientists and Researchers: For studying the dynamics of urbanisation and its relationship with poverty and wealth.
- Data Analysts and Visualisation Experts: For creating dashboards and reports on global development trends.
- Policymakers and NGOs: For informing urban planning and social support policies based on evidence of demographic shifts.
Dataset Name Suggestions
- Global Urban Population Trends by Socio-Economic Level (2000-2020)
- Urbanisation Rate by Country and Wealth Quantile (2000-2020)
- Worldwide Urban Living Percentage: A 21-Year Analysis
- Socio-Economic Urbanisation Data (2000-2020)
Attributes
Original Data Source: Global Urban Population Trends by Socio-Economic Level
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