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Worldwide Migration Flows Data
Data Science and Analytics
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About
This data resource tracks international emigration patterns across 232 nations and territories between 1990 and 2020. The collection captures the total number of people who were born in a specific country but currently reside overseas. It presents a robust time series for analysing global human mobility trends and studying the impact of historical events on migration flows. The dataset includes seven time points captured at 5-year intervals.
Columns
- Entity: The name of the country or territory (String).
- Year: The reference year for the specific data point, ranging from 1990 through 2020 (Integer).
- Total number of emigrants: The calculated number of people who were born in the country listed under ‘Entity’ but are now living abroad (Integer).
Distribution
The structure provides detailed coverage of 232 countries and territories, presenting data in a format suitable for time-series analysis. While the precise record count is not specified, the data covers seven time points spanning three decades. The file information includes specific column descriptors, and the data is typically distributed in standard file formats, such as CSV.
Usage
This dataset is ideally suited for analyzing global migration trends and overall patterns of human movement. It can be used to study demographic changes observed within source countries. Furthermore, it serves as a foundation for developing predictive models for future migration flows and informing the development of evidence-based immigration policies.
Coverage
The data maintains complete geographic coverage, including 232 countries and territories globally. The time frame spans 30 years, from 1990 to 2020, recorded at 5-year intervals. Key features include demographic breakdowns detailed by age and gender, as well as specific origin-destination migration flow details.
License
CC0: Public Domain
Who Can Use It
- Social Science Researchers: Utilising the data to study the causes and effects of human mobility and demographic shifts.
- Government Policymakers: Applying the trends and insights to establish informed, evidence-based immigration and emigration strategies.
- Data Scientists: Developing predictive models focused on forecasting future global migration behaviour.
Dataset Name Suggestions
- Global Emigration Patterns 1990–2020
- Worldwide Migration Flows Data
- International Emigrant Counts by Territory
- Global Human Mobility Trends
Attributes
Original Data Source: Worldwide Migration Flows Data
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