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Global Country Population Data
Data Science and Analytics
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About
This dataset offers key insights into global population trends, country-specific populations, and future projections. It details the world's population, its historical progression, and anticipated figures up to 2050. The data also includes vital metrics such as growth rates, population density, and land area for various countries. For instance, the global population was estimated at 7,922,312,800 people in September 2022, expected to reach 8 billion by mid-November 2022, significantly higher than the 7.2 billion recorded in 2015. While the world's population continues to increase by approximately 140 people per minute, the rate of growth has been slowing for decades. This slowdown is projected to continue, potentially reaching zero growth (where births equal deaths) around 2080-2100, at an estimated population of 10.4 billion, after which global population decline is anticipated. Currently, China leads as the most populous country with over 1.42 billion people as of September 2022, closely followed by India, with an estimated 1.41 billion people.
Columns
The dataset comprises 19 columns, each providing distinct demographic or geographic information:
- country: The name of the country. This column contains 234 unique country names, with 100% valid entries.
- rank: The numerical rank of the country based on a specific metric, likely population size. This column also has 234 unique values and is 100% valid, with a mean rank of 118.
- area: The total area of the country in square kilometres, ranging from 0.44 to 17.1 million square kilometres. It has 100% valid entries, with an average area of 581,000 square kilometres.
- landAreaKm: The land area of the country in square kilometres, ranging from 0.44 to 16.4 million square kilometres. It is 100% valid, with an average land area of 557,000 square kilometres.
- cca2: The two-letter country code (ISO 3166-1 alpha-2). This column has 234 unique codes and is 100% valid.
- cca3: The three-letter country code (ISO 3166-1 alpha-3). This column has 234 unique codes and is 100% valid.
- netChange: The net percentage change, likely referring to population change. Values range from -0.03 to 0.42, with 97% valid entries and a mean of 0.01.
- growthRate: The population growth rate, ranging from -0.07 to 0.05. It is 100% valid, with a mean growth rate of 0.01.
- worldPercentage: The percentage of world growth contributed by each country. Values range from 0.00 to 0.18, with 97% valid entries and a mean of 0.
- density: Population density per square kilometre, ranging from 0.14 to 21.4 thousand people per square kilometre. It is 100% valid, with an average density of 451.
- densityMi: Population density per square mile, ranging from 0.36 to 55.4 thousand people per square mile. It is 100% valid, with an average density of 1.17 thousand.
- place: A numerical indicator, possibly a geographic or administrative place identifier, ranging from 4 to 894. It is 100% valid, with a mean of 439.
- pop1980: The population in 1980, ranging from 733 to 982 million. This column is 100% valid, with an average population of 19 million.
- pop2000: The population in 2000, ranging from 651 to 1.26 billion. This column is 100% valid, with an average population of 26.3 million.
- pop2010: The population in 2010, ranging from 596 to 1.35 billion. This column is 100% valid, with an average population of 29.8 million.
- pop2022: The population in 2022, ranging from 510 to 1.43 billion. This column is 100% valid, with an average population of 34.1 million.
- pop2023: The population in 2023, ranging from 518 to 1.43 billion. This column is 100% valid, with an average population of 34.4 million.
- pop2030: The projected population in 2030, ranging from 561 to 1.51 billion. This column is 100% valid, with an average projected population of 36.5 million.
- pop2050: The projected population in 2050, ranging from 731 to 1.67 billion. This column is 100% valid, with an average projected population of 41.5 million.
Distribution
The dataset is provided as a CSV file, specifically named
countries-table.csv. It contains 234 records (rows), representing data for 234 distinct countries. The file size is 30.27 kB.Usage
This dataset is perfectly suited for in-depth analysis of global population dynamics and demographic research. Ideal applications include:
- Visualising population distribution and density across different countries and regions.
- Forecasting future population trends and understanding historical shifts.
- Identifying countries experiencing significant population growth or decline.
- Conducting research on the relationship between land area and population density.
- Developing models for urban planning, resource allocation, and policy-making based on demographic changes.
Coverage
- Geographic: The dataset spans 234 countries worldwide, providing detailed population statistics and related metrics for each.
- Time Range: It includes historical population figures for 1980, 2000, 2010, 2022, and 2023, alongside future population projections for 2030 and 2050.
- Demographic: The dataset focuses on key demographic indicators such as population size, growth rate, net change percentage, and population density (per square kilometre and per square mile). It also highlights the overall global population figures and the anticipated future slowing of population growth.
License
CC0: Public Domain
Who Can Use It
This dataset is highly beneficial for a variety of users, including:
- Data analysts and data scientists seeking to perform advanced statistical analysis and build predictive models related to demographics.
- Researchers and academics in fields such as social science and demography for academic studies and publications.
- Educators and students who wish to learn about global population patterns, demographic shifts, and data visualisation techniques.
- Policy makers and urban planners who require data-driven insights for long-term planning and development initiatives.
- Anyone with an interest in understanding the current state and future trajectory of the world's population.
Dataset Name Suggestions
- Global Country Population Data
- World Demographic Statistics
- Population Trends by Nation
- International Population Projections
- Country-Level Population Overview
Attributes
Original Data Source: Global Country Population Data
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