This section contains the indicators about social norms and perceptions about men’s and women’s roles inside and outside the home of the GenLAC database. Indicators are available by gender, and they are constructed based on opinion and values surveys (World Value Survey and Latinobarómetro).
Adult population agreeing with the statement “Men make better political leaders than women do”
Adult population agreeing with the statement “Half of Parliament members are women”
Adult population agreeing with the statement “When jobs are scarce, men should have more right to a job than women"
Adult population agreeing with the statement "Men make better business executives than women do"
Adult population that thinks that employers do not hire women with children
Percentage of the population aged 25-54 that thinks that the main obstacle women have in joining the labor market is that employers do not hire women with children.
Indicator available by gender (women and men).
Source of information: Constructed based on Values Surveys (Latinobarómetro).
Adult population that thinks that a team composed of men and women achieves better outcomes than a team composed of only men
Adult population agreeing with the statement "A university education is more important for a boy than for a girl."
Percentage of the population aged 25-54 who agrees or strongly agrees with the statement “A university education is more important for a boy than for a girl.”
Indicator available by gender (women and men).
Source of information: Constructed based on Values Surveys (World Values Survey).
Adult population agreeing with the statement “women have the same capabilities for science and technology as men.”
Percentage of the population aged 25-54 who agrees or strongly agrees with the statement “women have the same capabilities for science and technology as men.”
Indicator available by gender (women and men).
Source of information: Constructed based on Values Surveys (Latinobarómetro).
Third-grade teachers who think that boys or girls learn faster math or language
Third-grade teachers who think that boys or girls learn faster math or language due to their innate characteristics
Sixth-grade teachers who think that boys or girls learn faster math, language or science
Sixth-grade teachers who think that boys or girls learn faster math, language or science due to their innate characteristics
Percentage of 15 year-old students who expect to work in STEM-related occupations at the age of 30
Percentage of 15 year-old students who expect to work in STEM-related occupations at the age of 30. STEM include science and engineering professionals and information and communications technology professionals.
Indicator available by educational level of the household (*).
(*) The household’s educational level is the highest educational level held between father and mother.
Source: constructed based on PISA (OECD).
Adult population agreeing with the statement “If a woman earns more money than her husband, it’s almost certain to cause problems”
Percentage of the population aged 25-54 who agrees with the statement “If a woman earns more money than her husband, it’s almost certain to cause problems”.
Indicator available by gender (women and men).
Source of information: Constructed based on Values Surveys (World Values Survey).
Adult population agreeing with the statement “When a mother works for pay, the children suffer”
Adult population agreeing with the statement “Being a housewife is just as fulfilling as working for pay”
Adult population agreeing with the statement “Women have to work for pay only if their husband does not earn enough”
Percentage of the population aged 25-54 who agrees or strongly agrees with the statement “Women have to work for pay only if their husband does not earn enough”.
Indicator available by gender (women and men).
Source of information: Constructed based on Values Surveys (Latinobarómetro).
Adult population agreeing with the statement “It is better if man works and woman stays at home”
Percentage of women who think that husbands are justified to beat their wives in some situations (DHS)
Percentage of women aged 25-49 who think that a husband beating a wife is justified if she goes out without telling him, or neglects the children, or she argues with him, or she refuses to have sex with him, or she burns the food (DHS).
Indicator available by marital status **(married or not), and educational level (high school dropouts, high school graduates or some college, higher education completed).
(**) “Married” refers to persons in formal and consensual unions.
Source of information: Constructed based on Demographic and Health Surveys (DHS).
Percentage of women who think that husbands are justified to beat their wives in some situations (MICS)
Percentage of women aged 25-49 who think that a husband beating a wife is justified if she goes out without telling him, or neglects the children, or she argues with him, or she refuses to have sex with him, or she burns the food (MICS).
Indicator available by marital status **(married or not), and educational level (high school dropouts, high school graduates or some college, higher education completed).
(**) “Married” refers to persons in formal and consensual unions.
Source of information: Constructed based on Multiple Indicators Cluster Survey (MICS).
Information taken from this database should be cited as “Source: GenLAC (CEDLAS)” or “Source: GenLAC – Evidence for gender equity in Latin America and the Caribbean (CEDLAS)”. The APA style citation is available below. We advise that users reference the date that the database was consulted.
Copy citation
CEDLAS (2023). GenLAC – Evidence for gender equity in Latin America and the Caribbean (Version 3.1) [database]. Retrieved from https://genlac.econo.unlp.edu.ar/en
Copy BibTeX citation
@misc{genlac_es,
author = {{CEDLAS}},
title = {GenLAC – Evidence for gender equity in Latin {A}merica and the {C}aribbean (Version 3.1). [database]},
year = {2023},
note = {Retrieved from \url{https://genlac.econo.unlp.edu.ar/en}},
}
We would appreciate a copy of any publications or reports in which the GenLAC database is used is sent to GenLAC@econo.unlp.edu.ar.
We expect to gradually incorporate non-binary gender categories when information from official surveys is available.
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