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Human Mortality Database (ICPSR 138)

Released/updated on: 2006-06-19

Geographic coverage: United States, Wales, England, Iceland, Global, Russia, Netherlands, Sweden, Austria, Latvia, Slovakia, France, Bulgaria, Lithuania, Hungary, Japan, Switzerland, Spain, New Zealand, Canada, Czech Republic, Belgium, Norway, Finland, Denmark, Italy, Australia, Germany

The Human Mortality Database (HMD) was created to provide detailed mortality and population data to researchers, students, journalists, policy analysts, and others interested in the history of human longevity. The project began as an outgrowth of earlier projects in the Department of Demography at the University of California, Berkeley, USA, and at the Max Planck Institute for Demographic Research in Rostock, Germany. It is the work of two teams of researchers in the USA and Germany. The main goal of the database is to document the longevity revolution of the modern era and to facilitate research into its causes and consequences. At present, the database contains detailed data for a collection of 26 countries. The countries involved are Australia, Austria, Belgium, Bulgaria, Canada, Czech Republic, Denmark, the total and civilian populations of England and Wales, Finland, France, Germany, West Germany, East Germany, Hungary, Iceland, Italy, Japan, Latvia, Lithunia, Netherlands, the Maori and Non-Maori populations of New Zealand, Norway, Russia, Slovakia, Spain, Sweden, Switzerland, and the United States.

Curated

Simple Crosstabs

Research on Early Life and Aging Trends and Effects (RELATE): A Cross-National Study (ICPSR 34241)

Released/updated on: 2015-05-07

Geographic coverage: Argentina, Puerto Rico, United States, Uruguay, China (Peoples Republic), England, Ghana, India, Russia, Costa Rica, Cuba, Netherlands, Bangladesh, Barbados, Taiwan, Brazil, South Africa, Mexico, Chile, Indonesia

Time period: 1996-01-01--2008-12-31

The Research on Early Life and Aging Trends and Effects (RELATE) study compiles cross-national data that contain information that can be used to examine the effects of early life conditions on older adult health conditions, including heart disease, diabetes, obesity, functionality, mortality, and self-reported health. The complete cross sectional/longitudinal dataset (n=147,278) was compiled from major studies of older adults or households across the world that in most instances are representative of the older adult population either nationally, in major urban centers, or in provinces. It includes over 180 variables with information on demographic and geographic variables along with information about early life conditions and life course events for older adults in low, middle and high income countries. Selected variables were harmonized to facilitate cross national comparisons.

In this first public release of the RELATE data, a subset of the data (n=88,273) is being released. The subset includes harmonized data of older adults from the following regions of the world: Africa (Ghana and South Africa), Asia (China, India), Latin America (Costa Rica, major cities in Latin America), and the United States (Puerto Rico, Wisconsin). This first release of the data collection is composed of 19 downloadable parts: Part 1 includes the harmonized cross-national RELATE dataset, which harmonizes data from parts 2 through 19. Specifically, parts 2 through 19 include data from Costa Rica (Part 2), Puerto Rico (Part 3), the United States (Wisconsin) (Part 4), Argentina (Part 5), Barbados (Part 6), Brazil (Part 7), Chile (Part 8), Cuba (Part 9), Mexico (Parts 10 and 15), Uruguay (Part 11), China (Parts 12, 18, and 19), Ghana (Part 13), India (Part 14), Russia (Part 16), and South Africa (Part 17).

The Health and Retirement Study (HRS) was also used in the compilation of the larger RELATE data set (HRS) (N=12,527), and these data are now available for public release on the HRS data products page. To access the HRS data that are part of the RELATE data set, please see the collection notes below.