| gggi {tidyindex} | R Documentation |
Global Gender Gap Index (2023)
Description
The Global Gender Gap Index combines 14 variables from four dimensions to measure the gender parity across 146 countries in the world.
Usage
gggi
gggi_weights
Format
An object of class tbl_df (inherits from tbl, data.frame) with 146 rows and 22 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 14 rows and 7 columns.
Details
The dataset includes country, region, GGGI score and rank, the combined four dimensions (Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment), and variables under each dimensions. The variable composition of each dimension is as follows:
* Economic Participation and Opportunity: Labour force participation, Wage equality for similar work, Estimated earned income, Legislators, senior officials and managers, and Professional and technical workers
* Educational attainment: Literacy rate, Enrolment in primary education, Enrolment in secondary education, Enrolment in tertiary education
* Health and survival: Sex ratio at birth and Healthy life expectancy
* Political empowerment: Women in parliament, Women in ministerial positions, and Years with female head of state
Variable names are cleaned with [janitor::clean_names()].
The weight data is extracted from page 65 of the Global Gender Gap Report (see reference), see page 61 for the region classification.
References
https://www3.weforum.org/docs/WEF_GGGR_2023.pdf