Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Gender equality is a core development objective in its own right. It is also smart development policy and sound business practice. It is integral to economic growth, business growth and good development outcomes. Gender equality can boost productivity, enhance prospects for the next generation, build resilience, and make institutions more representative and effective. In December 2015, the World Bank Group Board discussed our new Gender Equality Strategy 2016-2023, which aims to address persistent gaps and proposed a sharpened focus on more and better gender data. The Bank Group is continually scaling up commitments and expanding partnerships to fill significant gaps in gender data. The database hosts the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.
This dataset contains the Gender Empowerment Index (IDG) by province (admin 1), 2010-2017. The IDG is an index designed to measure gender equality. It shows how much women are lagging behind their male counterparts in economic and political aspects. The IDG measured by three aspects: the proportion of parliamentary seats occupied by females, decision-making role in workplace, and labor force participation rate. This data was published by BPS. The data is available in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2018/08/15/1573/-idg-indeks-pemberdayaan-gender-idg-menurut-provinsi-2010-2017.html
This dataset contains the Gender Development Index (GDI) by province (admin 1), 2010-2017. The GDI measures gender gaps in human development achievements by accounting for disparities between women and men in three basic dimensions of human development-health, knowledge and living standards using the same component indicators as in the Human Development Index (HDI). The GDI shows how much women are lagging behind their male counterparts and how much women need to catch up within each dimension of human development. This data, derived from the National Labor Force Survey (SAKERNAS) and Population Census (SP2010) that published by BPS.
The data is available in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2018/08/15/1569/-ipg-indeks-pembangunan-gender-ipg-2010-2017.html
The labour force participation rate is calculated as the labour force during a given reference period expressed as a percentage of the working-age population in the same reference period. The labour force (formerly known as currently active population) comprises all persons of working age who furnish the supply of labour for the production of goods and services (as defined by the United Nations System of National Accounts (SNA) production boundary) during a specified time-reference period. It is measured in relation to a short reference period such as one week or one day. It refers to the sum of all persons of working age who are employed and those who are unemployed
Level of gender discrimination in social institutions defined as discrimination in the family, restricted physical integrity, restricted access to reproductive and financial resources, and restricted liberties
The percentage of adults (ages 15+) who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months
The Global Gender Gap Index seeks to measure one important aspect of gender equality: the relative gaps between women and men, across a large set of countries and across four key areas: health, education, economics and politics.
For more information, please visit WEF's website.
Tasas y cifras de delito sexual y violencia intrafamiliar en Colombia durante 2010-2018.
Datos procesados a partir de reportes administrativos de la Policía Nacional, La Fiscalía General de la Nación y el Instituto Nacional de Medicina Legal.
Global population data, including fertility rate, gender parity in school enrolment, information on sexual and reproductive health, and much more. Together, these data shine a light on the health and rights of people around the world, especially women and young people. The numbers here come from UNFPA and fellow UN agencies, and are updated annually.
Full report and dashboard available here: https://www.unfpa.org/swop-2019
Dataset presents the distribution of members of the County Assemblies by county and sex. Nationally, female members of County Assemblies (MCAs) constituted 34.2 per cent of the total number of MCAs. The proportion of elected women MCAs was 6.6 per cent
while that of nominated women MCAs was 84.0 per cent. Tharaka-Nithi County Assembly had the highest proportion of women MCAs at 41.7 per cent followed by Kisumu and Kajiado Counties at 38.8 per cent and 36.6 per cent, respectively.
Dataset summarizes the participation of women and men in key decision making through selected positions of leadership. The proportion of women Diplomatic Corps reduced from 27.6 per cent in 2017 to 23.2 per cent in 2018 while those appointed as County
Commissioners and Deputy County Commissioners reduced from 36.1 per cent and 14.9 per cent in 2017 to 29.8 per cent and 11.5 per cent in 2018 respectively. In the legislature,the proportion of women in both houses of Parliament remained below a third while that
of Members of County Assemblies increased marginally to 33.9 per cent in 2018. The proportion of women judges at the Court of Appeal increased from 31.8 per cent in 2017 to 36.8 per cent in 2018. During the same period, the proportion of women judges at the High
Court marginally increased by 1.4 percentage points.
This dataset contains the location of affected schools by village, district, and governorate level. Includes number of students by gender, state of damage, school affected status, cause of damage, damage description, among other variables.