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International Population Growth Data
Data Science and Analytics
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About
This dataset provides key insights into global population changes, tracking growth rates for various countries and regions over a ten-year period from 2013 to 2022. It is designed to assist in understanding demographic shifts and trends worldwide.
Columns
- Country/Region: This column lists the names of the countries or regions included in the dataset, with each row corresponding to a distinct geographical entity. There are 101 unique countries or regions represented.
- Ø Growth/year: This indicates the average annual population growth rate for each country or region between 2013 and 2022. Expressed as a percentage, it illustrates the yearly increase or decrease in population. Values can range, for instance, from -0.44% to 3.40%.
- Growth 2013-2022: This column presents the total population growth for each country or region over the entire decade from 2013 to 2022. This figure can be an absolute number or a percentage change, such as 26.44% or 55.60% for specific entities.
Distribution
The dataset is provided as a CSV file (growth_of_populations.csv), approximately 2.39 kB in size. It comprises 3 distinct columns and includes data for 101 unique countries or regions, effectively representing 101 records.
Usage
This dataset is ideal for:
- Demographic analysis and trend identification.
- Policy formulation and evaluation concerning population dynamics.
- Economic planning and resource allocation studies.
- Academic research into global and regional population shifts.
- Data visualisations to present population growth patterns.
Coverage
The dataset covers 101 different countries and regions globally, with a specific focus on Europe and Asia among others. The time range spans a decade, from 2013 to 2022, offering a recent historical perspective on population movements.
License
CC0: Public Domain
Who Can Use It
- Researchers and Academics: For studies on demography, social sciences, and international development.
- Government Analysts: To inform policy decisions related to population, urban planning, and resource management.
- Data Scientists and Statisticians: For building models, predicting future trends, and performing statistical analyses.
- Students: As an educational resource for projects on global population issues.
- Journalists: For reporting on population trends and their implications.
Dataset Name Suggestions
- Global Population Trends 2013-2022
- International Population Growth Data (2013-2022)
- Country Population Changes: 2013-2022
- World Demographics: Decade of Growth (2013-2022)
- Population Dynamics by Region (2013-2022)
Attributes
Original Data Source: International Population Growth Data
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