Browse 10 datasets tagged with Demographics for Python data engineering.
The US Census Bureau offers a wide range of demographic, economic and social datasets through its data portal.
It provides access to a diverse range of datasets covering demographics, transportation, public safety, housing, health, education and more.
Eurostat, the statistical office of the European Union, offers a comprehensive database of statistical data covering various domains such as economy, population, employment, environment and social issues.
CDC Wonder provides access to a wide range of public health-related datasets, including mortality data, disease surveillance, birth data and more.
Gapminder World provides datasets on global development indicators, including income, education, health, population and environmental factors.
The WHO Global Health Observatory offers datasets on a wide range of health-related indicators, including disease prevalence, mortality rates, healthcare access and more.
The GBD study offers datasets on disease burden, mortality, morbidity, risk factors and health-related indicators globally, regionally and by country.
The World Bank WDI offers datasets on global development indicators, including GDP, population, poverty, education, health and infrastructure.
The GUO offers datasets on urbanization, urban population growth, city demographics, slum populations, urban infrastructure and sustainability indicators worldwide.
GHSL provides datasets on human settlement patterns, urbanization dynamics, population density, land use, infrastructure and built-up areas globally.