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2019 World Gender Gap Data
Education & Learning Analytics
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About
This dataset presents the Gender Development Index (GDI) for 2019, offering a crucial resource for understanding gender disparities in human development. The GDI measures gender gaps in achievements across three fundamental dimensions of human development: health, knowledge, and living standards. It employs the same component indicators as the Human Development Index (HDI), calculating separate HDIs for females and males. The GDI is then expressed as the ratio of the female HDI to the male HDI, providing a direct measure of gender gaps by showing female HDI as a percentage of male HDI. This dataset is invaluable for identifying and analysing gender-related development challenges globally.
Columns
- HDI Rank: The Human Development Index Rank for each country.
- Country: The name of the country.
- GDI_Value: The calculated Gender Development Index Value.
- GDI_Group: The group classification for the Gender Development Index.
- HDI_Female: The Human Development Index calculated specifically for females.
- HDI_Male: The Human Development Index calculated specifically for males.
- Lif_Expec_Female: Life Expectancy at Birth for females.
- Lif_Excep_Male: Life Expectancy at Birth for males.
- Excep_Yrs_Schooling_Female: Expected Years of Schooling for females.
- Excep_Yrs_Schooling_Male: Expected Years of Schooling for males.
- Mean_Yrs_Schooling_Female: Mean Years of Schooling for females.
- Mean_Yrs_Schooling_Male: Mean Years of Schooling for males.
- GNI_PC_Female: Gross National Income per Capita for females.
- GNI_PC_Male: Gross National Income per Capita for males.
Distribution
The dataset is provided in a CSV format, with a file size of 15.14 kB. It contains 14 distinct columns and includes data for approximately 190 records or rows, with some columns having 189 valid entries. The data has a usability rating of 10.00. This dataset is static, with an expected update frequency of "Never".
Usage
This dataset is ideal for a variety of applications, including:
- Academic Research: Studying patterns and drivers of gender inequality in human development.
- Policy Analysis: Informing and evaluating policies aimed at reducing gender gaps in health, education, and living standards.
- Development Planning: Identifying priority areas for interventions to promote gender equality worldwide.
- Comparative Studies: Benchmarking countries based on their gender development achievements and disparities.
- Journalism and Reporting: Creating data-driven stories and reports on global gender equality issues.
Coverage
This dataset covers a wide geographic scope, including data for approximately 190 countries globally. The time range for the data is specifically 2019, providing a snapshot of gender development achievements for that year. The demographic scope focuses on disparities between female and male populations across various human development indicators. There are minimal missing values (around 1%) for some key country and HDI rank indicators.
License
CC0: Public Domain
Who Can Use It
- Researchers and Academics: For scholarly work on gender studies, development economics, and social sciences.
- Policymakers and Government Agencies: To formulate and assess gender-sensitive development strategies and policies.
- Non-Governmental Organisations (NGOs): For advocacy, programme design, and monitoring of gender equality initiatives.
- Journalists and Media Professionals: To report on global gender disparities and human development progress.
- Students: For educational projects and learning about global inequalities.
Dataset Name Suggestions
- Gender Development Index Global 2019
- 2019 World Gender Gap Data
- Human Development Gender Parity 2019
- International GDI 2019 Metrics
- Gender Equality Indicators 2019
Attributes
Original Data Source: 2019 World Gender Gap Data
QUALITY