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International Population Data
Data Science and Analytics
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About
Explore global population trends with this country-by-country dataset, offering a snapshot of current demographics. It addresses the significant discussion surrounding population growth, noting the consistent rise in birth rates compared to death rates worldwide. This dataset provides detailed figures for 235 countries, facilitating analysis of human population dynamics. While some missing values are present, they are generally not expected to impede general use.
Columns
- Number of rows: An ordinal identifier for each country entry.
- Name of country: The official name of each of the 235 countries included.
- Current population: The most recent recorded population figure for each country, with values ranging from 801 to 1.44 billion, China being the most populous.
- Change in population in percentage: The percentage increase or decrease in a country's population, with 1.48% being a frequently observed change.
- numerical change in population: The absolute numerical shift in population, showing changes from decreases of 384 thousand to increases of 13.6 million.
- Population density: Measures the concentration of individuals within a specific geographical area, varying from 0 to 26.3 thousand.
- Area covered: The total land area of each country, expressed in square units, ranging up to 16.4 million.
- Migrants moved: The net number of people migrating into or out of a country, with 14% of values missing. The range is from a net loss of 653 thousand to a net gain of 955 thousand.
- Fertility rate: The average number of children born to women in each country, with 'N.A.' being a common entry.
- Urban population: The proportion of the population residing in urban areas, also featuring 'N.A.' as a frequent entry.
- Median age: The median age of the population in each country, with 'N.A.' present for some entries.
- Contribution in population: Each country's percentage share of the world's total population.
Distribution
The data is provided in a CSV file format, named 'World Population (2022).csv', with a file size of 18.41 kB. It is structured as tabular data, containing 12 distinct columns and a total of 235 rows or records, each representing a different country. Some columns, such as 'Migrants moved', contain missing values (14%), while others like 'Fertility rate', 'Urban population', and 'Median age' show 'N.A.' as a common placeholder for unavailable information.
Usage
This dataset is suitable for a variety of applications, including:
- Demographic analysis: Investigating population growth patterns, changes, and structures globally.
- Social science research: Studying the impact of population dynamics on societies and cultures.
- Economic planning: Informing decisions related to resource allocation, market analysis, and development strategies.
- Public safety studies: Examining population density and migration for urban planning and emergency preparedness.
- Educational purposes: Providing empirical data for students and educators researching world populations.
Coverage
This dataset offers a global geographical scope, encompassing population details for 235 countries across the world. The data primarily reflects figures for the year 2022, providing a current snapshot of population statistics rather than a historical time series. It covers key demographic indicators such as current population, population change, density, migration, fertility rates, urbanisation levels, and median age for each country. Specific notes on data availability include the presence of missing values for certain groups or years, particularly in fields like 'Migrants moved', 'Fertility rate', 'Urban population', and 'Median age'.
License
CC0: Public Domain
Who Can Use It
- Researchers and Academics: For studies on global demographics, environmental impact, and social trends.
- Data Analysts: To identify patterns, conduct statistical analysis, and create visualisations of world population.
- Government Agencies and Policy Makers: For urban planning, resource management, and strategic policy development.
- Journalists and Media Professionals: To report on population shifts, migration, and related global issues.
- Students: For academic projects, thesis research, and learning about international statistics.
Dataset Name Suggestions
- Global Population Statistics 2022
- Country Population Metrics
- World Demographics at a Glance
- International Population Data (2022)
- Planet Population Overview
Attributes
Original Data Source: International Population Data
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