Early Indicators of Later Work Levels, Disease, and Death Project (EI)
Please use this link to go to the new location for Union Army Data and Early Indicators Project
Following is the old page left as is.
Public Use Tape on the Aging of Veterans of the Union Army
California, Connecticut, Delaware, District of Columbia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New Mexico, New York, Ohio, Pennsylvania, Vermont, West Virginia, and Wisconsin RegimentsThese data comprise the historical data collected by the project Early Indicators of Later Work Levels, Disease, and Death (EI). The goal of this project is to construct datasets suitable for longitudnal studies of factors affecting the aging process. The primary sample for the Early Indicators project consists of 35,747 white males mustered into the Union Army during the Civil War. There are three principal datasets in the EI project:
- Military, Pension, and Medical Records, 1820-1940, Version M-5 is the largest dataseta. The data is derived from miliary-related documents housed in the National Archives in Washington, D.C. These include both war-time records and applications made by veterans for pension support.
- Surgeons' Certificates 1860-1940: Version S-1 Unstandardized are associated with the pension applications are detailed physical examinations completed by physicians, certifying the veterans' health and disability status.
- U.S. Federal Census Records 1850, 1860, 1900, 1910, Version C-3 is a longitudnal dataset which follows individuals through four U.S. Federal Censuses. 22,115 (62.17%) of the soldiers were successfully matched to at least one of the Census years.
All individuals in the Early Indicators sample can be linked by a unique indentification number recidnum. link.lst gives a count of the number of recruits in each datafile.
All Early Indicators data were collected under the direction of the Department of Economics at Brigham Young University (BYU) and processed by the Center for Population Economics (CPE) at the University of Chicago.
Send questions to firstname.lastname@example.org
|Last Update: January 4, 2001||Created by Jean Roth November 30, 2000|