The Gender Data Portal is the World Bank Group’s comprehensive source for the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.
The OECD Development Centre’s Social Institutions and Gender Index (SIGI) measures discrimination against women in social institutions across 180 countries. By taking into account laws, social norms and practices, the SIGI captures the underlying drivers of gender inequality with the aim to provide the data necessary for transformative policy-change. The SIGI is also one of the official data sources for monitoring SDG 5.1.1 “Whether or not legal frameworks are in place to promote, enforce and monitor gender equality and women’s empowerment.”
Note: access is available for content that predates 12/31/21; any content from 01/01/2022 - present is unavailable. A dynamic tool to scan and search the contents of billions of datasets from the United States. Compare and contrast variables of interest and create customized views in tables, maps, rankings, and charts. Views also include descriptive summaries of the datasets and data sources. Datasets cover a wide range of subjects – including business, finance, banking, economics, sociology, political science, demography, agriculture, education, international studies, criminal justice, housing and construction, labor and employment, energy resources and industries, and more.
Generates maps, data visuallizations, and spreadsheets of Census data from 1790-2010. Additional data available up to the 2020 census.
Updated regularly. Provides easy access to historical census data for the United States. Allows users to visually analyze and understand the demography of any part of the United States with access to the following:
* Interactive thematic maps of historical census data
* Customized reports for any chosen area or areas (including aggregates)
* Complete coverage of the United States, down to neighborhoods and streets
* Simple navigation buttons and a find tool make it easy and efficient to study neighborhoods
Users can examine geographic areas while selecting the type of data to be shown, such as population density or income level. The corresponding data tables are also available.