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Global Historical Population Data
Data Science and Analytics
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About
Historical population data is provided for every country and territory across the globe, offering insights into demographic changes and trends. It encompasses a range of parameters including geographical area, continent, capital city, population density, growth rates, and each country's percentage of the world population. The dataset highlights significant global demographic shifts, such as the current global population estimate of 7,577,130,400 people in June 2019, which is expected to surpass 7.7 billion based on UN data. By 2030, the world's population is projected to exceed 8 billion. India is on track to become the most populous country by 2030, surpassing China. The dataset also tracks varying population growth patterns, noting that the global growth rate was 1.12% in 2018 and has steadily fallen every five years since the 1970s. Several nations, particularly in Africa, are expected to double their populations before fertility rates stabilise, while countries like Russia and Japan are projected to experience population declines.
Columns
- Rank: The ranking of a country or territory by its population.
- CCA3: A three-digit code representing the country or territory.
- Country/Territories: The name of the country or territory.
- Capital: The name of the capital city.
- Continent: The name of the continent where the country or territory is located.
- 2023 Population: The population of the country or territory in the year 2023.
- 2022 Population: The population of the country or territory in the year 2022.
- 2020 Population: The population of the country or territory in the year 2020.
- 2015 Population: The population of the country or territory in the year 2015.
- 2010 Population: The population of the country or territory in the year 2010.
- 2000 Population: The population of the country or territory in the year 2000.
- 1990 Population: The population of the country or territory in the year 1990.
- 1980 Population: The population of the country or territory in the year 1980.
- 1970 Population: The population of the country or territory in the year 1970.
- Area (km²): The land size of the country or territory in square kilometres.
- Density (per km²): The population density, indicating the number of people per square kilometre.
- Growth Rate: The population growth rate specific to each country or territory.
- World Population Percentage: The proportion of the global population represented by each country or territory.
Distribution
The data is typically provided in a CSV format, with the sample file
world_population_data.csv having a size of 28.12 kB. It includes 17 columns and features data for 234 unique countries or territories. There are no missing values reported for any of the columns.Usage
This data is ideal for:
- Data Analytics: Performing statistical analysis on population trends and demographics.
- Data Visualisation: Creating charts, maps, and other visualisations to represent global population distribution and changes over time.
- Social Science Research: Studying demographic patterns, their causes, and societal impacts.
- Exploratory Data Analysis: Investigating relationships and patterns within global population figures.
- Educational Purposes: Providing a rich source of real-world data for students and educators in geography, sociology, and statistics.
Coverage
The dataset offers global coverage, including historical population data for every country and territory worldwide. The time range spans from 1970 to 2023, providing a detailed overview of population figures over more than fifty years. It covers nations ranging from Vatican City, with only 801 residents, to countries with populations exceeding 100 million such as the United States, Indonesia, and India. It notes that the Democratic Republic of the Congo, Ethiopia, India, Indonesia, Nigeria, Pakistan, Uganda, the United Republic of Tanzania, and the United States of America are positioned to contribute significantly to future population growth.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Researchers and Academics: For studies in demography, public health, economics, and environmental science.
- Data Analysts and Scientists: To build models, identify trends, and create predictive analytics related to population.
- Journalists and Media Professionals: For reporting on global demographic shifts and their implications.
- Government Agencies and NGOs: For policy formulation, resource planning, and humanitarian efforts.
- Students: As a practical resource for projects in geography, statistics, and social studies.
Dataset Name Suggestions
- Global Historical Population Data
- World Demographics 1970-2023
- Country Population Trends
- International Population Statistics
- Earth's Population: A Fifty-Year Overview
Attributes
Original Data Source:Global Historical Population Data
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