gender_gap: Gender gap data

In m-clark/noiris: Data sets

Description

From the World Bank description: The Global Gender Gap Index examines the gap between men and women in four fundamental categories (subindexes) and 14 different indicators that compose them. The subindexes are Economic Participation and Opportunity, Educational Attainment, Health and Survival and Political Empowerment. The highest possible score is 1 (equality) and the lowest possible score is 0 (inequality).

Usage

gender_gap

Format

Two data frames. The first regards just the gender gap indices. There is more data for this for most countries, potentially starting as far back as 2006. The second data set has only 2018 data but more indicators.

country_iso3

Country ISO code

country_name

Country Name

year

global_gender_gap_economic_participation_and_opportunity_subindex

This subindex contains three concepts: the participation gap, the remuneration gap and the advancement gap.

overall_global_gender_gap_index

The Global Gender Gap Index examines the gap between men and women across four fundamental categories.

global_gender_gap_educational_attainment_subindex

This subindex captures the gap between women’s and men’s current access to education through ratios of women to men in primary-, secondary- and tertiary-level education.

global_gender_gap_health_and_survival_subindex

This subindex provides an overview of the differences between women’s and men’s health.

global_gender_gap_political_empowerment_subindex

This subindex measures the gap between men and women at the highest level of political decision-making through the ratio of women to men in ministerial positions and the ratio of women to men in parliamentary positions.

healthy_life_expectancy

Average number of years that a person can expect to live in full health, calculated by taking into account years lived in less than full health due to disease and/or injury.

labour_force_participation

Measures the proportion of a country’s working-age population that engages actively in the labor market, either by working or looking for work.

legislators_senior_officials_and_managers

The ratio of women to men employed in senior roles.

literacy_rate

Percentage of the population aged 15 and over with the ability to both read and write and make simple arithmetic calculations.

professional_and_technical_workers

The ratio of women to men employed in professional and technical roles.

sex_ratio_at_birth

Refers to the number of boys born alive per 100 girls born alive. Data is converted to a female-over-male value. Biologically, this ratio should vary little and female births should be about 94.4% of male births.

women_in_ministerial_positions

Percentage of women holding ministerial portfolios.

women_in_parliament

Percentage of women holding parliamentary seats. In instances where a parliamentary system is bicameral, the figure used is the one for the lower house.

years_with_female_head_of_state_last_50

The number of years in the past fifty-year period for which a woman has held a post equivalent to an elected head of state or head of government in the country.

Details

More details on the variables can be found at the links below.

Source

Data link. Information on construction of the scale. Information on Subindices.

Examples

library(noiris)
str(gender_gap)
str(gender_gap_2018)

m-clark/noiris documentation built on Sept. 9, 2019, 9:08 a.m.