If you’re on this page, our guess is that you love data for its own sake. You love to dive into datasets, see what’s there, see what’s interesting and see what insights you can glean. You like to look at data from different perspectives and run regressions for fun. You may be looking for something in particular, or you may just want to learn something new about a topic you find interesting. For everyone who loves data for its own sake, and who is interested in public health, we look forward to having you explore our data.
Datasets on This Page:
The Win-Win project is a long-term initiative of the Center for Health Advancement at the Fielding School of Public Health. It provides good science that drives change by showing the health impact to populations and value to governments of policies, systems, and programmatic innovations. The project provides a standardized, unbiased economic analysis of interventions to help public health officials make informed policy decisions and engage in collaboration with other sectors.
The WORLD Policy Analysis Center engages in a rigorous research process to gather and transform massive quantities of legal and policy data into quantifiable, accessible, user-friendly resources, including interactive maps, tables, and downloadable datasets. WORLD’s mission is to strengthen equal rights and opportunities worldwide by:
The Health Forecasting Project aims to help decision-makers choose policies and programs with the best health return on investment. Forecasting is common across a wide variety of disciplines, and projecting into the future often helps to inform the policymaking process, whether it’s the population trends produced by demographers or the fiscal projections of economists. But conspicuously absent from many discussions are projections on the population health impact based on various scenarios, and major health and health care policy decisions are often based on limited data and insights into the health benefits of proposed policies and interventions.
The Guatemalan Survey of Family Health was designed to examine the way in which rural Guatemalan families and individuals cope with childhood illness and pregnancy, and the role of ethnicity, poverty, social support, and health beliefs in this process. It is part of a larger study designed and carried out by Noreen Goldman (Princeton University) and Anne Pebley (FSPH/RAND), in collaboration with the Nutritional Institute of Central America and Panama (INCAP) in Guatemala, with funding from the National Institute of Child Health and Human Development.
The California Health Interview Survey (CHIS) is the nation’s largest population-based state health survey, and the first in California to interview people from every county. CHIS is conducted on a continuous basis, allowing it to provide a detailed picture of the health and health care needs of California’s large and diverse population. A full data cycle takes two years to complete, with over 50,000 Californians surveyed. CHIS interviews Californians in several languages: English, Spanish, Cantonese, Mandarin, Korean, Vietnamese and Tagalog.
The Multicenter AIDS Cohort Study (MACS) is the first and largest study dedicated to examining the natural history of AIDS. The MACS has followed the lives of nearly 5,000 HIV-positive and HIV-negative gay and bisexual men in Los Angeles, Chicago, Baltimore and Pittsburgh for more than three decades through twice-annual assessments.
Airborne fine particulate matter exhibits spatiotemporal variability at multiple scales, which presents challenges to estimating exposures for health effects assessment. Therefore, estimating the health effects of ambient air pollution require exposure assessments that accurately describe the expected variability in the pollutant of interest. These data were used to build on previous air pollution exposure modeling efforts in California using spatiotemporal models at the national scale to predict ambient particular matter (PM2.5) for the purpose of estimating exposure at residential locations for health effects analyses. These data helped researchers to predict finer temporal scales than typically available through land use regression (LUR) or remote sensing methods alone.
The Los Angeles Family and Neighborhood Survey (L.A. FANS) is a study of adults, teens, children, and neighborhoods in Los Angeles County. The study follows children and families over time, with the goal of understanding how neighborhoods affect a variety of outcomes, including children’s development and well-being and stress and health among children and adults. In 2000-2001, L.A. FANS interviewed 3,000 families in 65 neighborhoods as part of Wave 1 of L.A.FANS. For Wave 2, which was fielded in 2006-2008, L.A. FANS re-interviewed these families as well as new families who moved into these neighborhoods. L.A.FANS is conducted by the RAND Corporation, a non-profit research organization in Santa Monica, in collaboration with the Fielding School of Public Health.