Analysis on Gender Profiles of Emigrants
Who are they?
This is a diverging stacked bar chart that illustrates the yearly distribution of emigrants of South-East Asian countries based on their gender, from 1990-2020. The indicator used for count is countries in the South-Eastern Asia region to countries with the "High-Income Economies" status, according to World Bank's country classifications.
To use this visualisation, hover to view details of a particular bar segment, and click on the buttons in Legend to visualise the data for its particular year. Data for year 2020 is visualised by default.
Context
Owing to prominent gender disparities in South-East Asia, individuals of different genders encounter distinct levels of satisfaction regarding their rights socially, economically, culturally, and politically.
As a result, this setting may lead to scenarios where one gender, or both, becomes more inclined to emigrate, thereby intensifying the phenomenon of brain drain.
The chart above illustrates the emigration count of males compared to females for South-East Asian countries during a specific year.
A notable discrepancy in the emigration numbers between males and females from a country could indicate underlying issues or dynamics within that nation during the given period.
Key Findings
This section highlights all key findings found within the visualisation above.
Since the year 2000,
Malaysia
has witnessed a steadily increasing gap between Male and Female emigrants, with the count of Females surpassing that of Males.
The difference has shifted from 133,346 to 179,130 in 2020.
Country
Thailand
exhibited the most significant and consistent gender disparity in emigration, with Female emigrants being a majority, comprising a substantial 59% of the total in 2020.
Among the 11 countries, only Indonesia and Myanmar experienced a consistently higher count of male emigrants from 2000 to 2020.
In the tapestry of emigration, gender threads its way through the stories of those who dare to dream beyond the confines of their birthplace.
Design and Developed by Adrian & Sean© COS30045 Data Visualisation, 2023