World Population Dynamics Dataset
Data Science and Analytics
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About
This dataset offers a detailed historical overview of world population dynamics from 1970 to 2023. It tracks significant demographic shifts, including the rapid growth of the global population, exceeding 7.5 billion by mid-2019, and projections for future trends. The data highlights key countries like China and India, their evolving population trajectories, and the role of other populous nations. It serves to illuminate how population growth rates are decelerating globally, yet certain regions, particularly in India and Africa, are expected to see substantial increases. The dataset provides insights into various demographic parameters for countries and territories worldwide.
Columns
- Rank: The population rank of the country or territory.
- CCA3: The 3-digit country or territory code.
- Country: The name of the country.
- Continent: The name of the continent.
- 2023 Population: Population of the country in the year 2023.
- 2022 Population: Population of the country in the year 2022.
- 2020 Population: Population of the country in the year 2020.
- 2015 Population: Population of the country in the year 2015.
- 2010 Population: Population of the country in the year 2010.
- 2000 Population: Population of the country in the year 2000.
- 1990 Population: Population of the country in the year 1990.
- 1980 Population: Population of the country in the year 1980.
- 1970 Population: Population of the country in the year 1970.
- Area (km²): The area size of the country or territory in square kilometres.
- Density (km²): Population density per square kilometre.
- Growth Rate: The population growth rate by country.
- World Population Percentage: The population percentage contributed by each country to the global total.
Distribution
This dataset is provided as a CSV data file named
world_population_data.csv
. The file size is 28.12 kB and it contains 17 columns and approximately 234 records detailing global population figures and related metrics.Usage
This dataset is highly valuable for those aiming to understand historical population trends, forecast future demographic patterns, and conduct in-depth analyses. It is particularly useful for informing policy decisions across diverse sectors such as economics, urban planning, and public health. Researchers can utilise it for academic studies on global population shifts, while analysts can leverage it for demographic forecasting and impact assessments.
Coverage
The dataset offers a global geographic scope, including historical population data for countries and territories worldwide. It spans a time range from 1970 to 2023, providing yearly population figures within this period. Specific notes include the significant populations of China and India, with China potentially facing a decline and India expected to surpass it by 2030. Other countries with populations exceeding 100 million, such as the United States, Indonesia, Brazil, and Nigeria, are also covered. Growth contributions from India, Nigeria, and several African nations are particularly highlighted.
License
CC0: Public Domain
Who Can Use It
This dataset is designed for a wide range of users, including:
- Researchers interested in studying long-term demographic changes and their underlying factors.
- Policymakers requiring data to inform strategic planning in areas like public health, resource allocation, and urban development.
- Analysts performing demographic forecasts, market research, or impact assessments related to population shifts.
- Data scientists seeking structured global population data for modelling and visualisation.
Dataset Name Suggestions
- Global Population Trends 1970-2023
- World Population Dynamics Dataset
- Historical Global Demographics 1970-2023
- Country Population Metrics
- Population Growth and Distribution
Attributes
Original Data Source:World Population Dynamics Dataset