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Historical and Forecasted Global Demographics
Data Science and Analytics
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About
This dataset collection provides a vital overview of global population dynamics, encompassing historical trends, current statistics, and future projections. It serves as a foundational resource for understanding demographic shifts, population growth, and regional distributions over time. The dataset is suitable for detailed analysis of world population changes and forecasting.
Columns
The collection comprises multiple datasets, each featuring variations in columns, but generally includes:
- Year: The specific year or a predicted year for population data.
- Population: The total count of the world's population or a regional population count.
- Yearly % Change: The percentage change in population on an annual basis.
- Yearly Change or Net Change: The numerical increase or decrease in population year-on-year.
- Median Age: The median age of the population.
- Fertility Rate: The fertility rate, with some data points available at 5-year intervals and then yearly for more recent periods.
- Density (P/Km²): Population density, measured in persons per square kilometre.
- Urban Pop or Urban Pop%: Count or percentage of the urban population.
- Region: Name of the geographic region (for regional datasets).
- Land Area (Km²): Land area of a region in square kilometres (for regional datasets).
- Migrants (net): Count of net migrants, where negative values indicate outward migration.
- World Share: The population's share of the total world population.
A detailed look at the 'World Population Forecast (2020-2050).csv' dataset's columns reveals:
- Year (July 1): Predicted year.
- Population: Total number of population, with values ranging from approximately 7.79 billion to 9.74 billion.
- Yearly % Change: Change in population percentage-wise, typically around 0.01.
- Yearly Change: Yearly change in population, with values between 50.6 million and 83.0 million.
- Median Age: Median age of population, ranging from 31 to 36.
- Fertility Rate: Fertility rate, generally between 2.47 and 2.95.
- Density (P/Km²): Population density, ranging from 52 to 65 P/Km².
Distribution
The dataset is provided in CSV format, with individual data files expected to be updated separately on the platform. The collection consists of five distinct datasets: 'World_population(1955-2023).csv', 'World_population(1951-2020).csv', 'World Population Projections(2020 -2100).csv', 'World Population by Region(2020).csv', and 'World Population Forecast (2020-2050).csv'. While specific row counts for all files are not specified, the 'World Population Forecast (2020-2050).csv' file contains 7 records and is approximately 408 bytes in size.
Usage
This dataset is ideally suited for a variety of applications, including:
- Data Analytics: Performing in-depth statistical analysis of global population trends.
- Geospatial Analysis: Examining population density and distribution across different regions.
- Urban Planning: Informing strategies for urban development and resource allocation based on population forecasts.
- Social Science Research: Studying demographic shifts, fertility patterns, and median age changes.
- Economic Forecasting: Predicting future economic demands and labour force changes based on population projections.
- Policy Making: Developing informed policies related to public health, education, and social welfare.
Coverage
The dataset offers extensive coverage:
- Geographic Scope: Global population data, with a specific dataset detailing population by region for the year 2020.
- Time Range: Historical data spans from 1951 to 2023. Projections extend from 2020 up to 2100 for long-term outlooks, and from 2020 to 2050 at 5-year intervals for forecasts.
- Demographic Scope: Includes key demographic indicators such as total population, yearly percentage change, yearly change, median age, fertility rate, density, urban population metrics, land area, and net migration figures.
- Specific Notes: Fertility rate data is generally available from 1955 to 2015 with 5-year intervals, and then yearly from 2015 to 2020 in some datasets.
License
CC0: Public Domain
Who Can Use It
This dataset is designed for a broad range of users, including:
- Demographers: For studying population structure and dynamics.
- Researchers: In fields such as social science, economics, and environmental studies.
- Urban Planners: For planning city infrastructure and services.
- Data Scientists and Analysts: For developing predictive models and trend analyses.
- Policy Makers: For evidence-based decision-making in public administration.
- Students: For academic projects and learning about global demographics.
Dataset Name Suggestions
- Global Population Dynamics
- World Population Trends and Projections
- Historical and Forecasted Global Demographics
- Worldwide Population Statistics
Attributes
Original Data Source:Historical and Forecasted Global Demographics
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