Principal Investigator(s): Fogel, Robert W., et al., University of Chicago. Center for Population Economics
This data collection constitutes a portion of the historical data collected by the project "Early Indicators of Later Work Levels, Disease, and Death." With the goal of constructing datasets suitable for longitudinal analyses of factors affecting the aging process, the project is collecting military, medical, and socioeconomical data on a sample of white males mustered into the Union Army during the Civil War. The project seeks to examine the influence of environmental and host factors prior to recruitment on the health performance and survival of recruits during military service, to identify and show relationships between socioeconomic and biomedical conditions (including nutritional status) of veterans at early ages and mortality rates from diseases at middle and late ages, and to study the effects of health and pensions on labor force participation rates of veterans at ages 65 and over. This installment of the collection, Version M-5, supersedes any previous version of these data. Collected in this version are data from military service, pension, and medical records of veterans who were originally mustered into the Union Army in 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 regiments. Also included are data from a 20-company pilot sample and information on recruits whose pension records were stored at the Veterans Administration (VA) Archives in Washington, DC, but had not been collected previously. Data include date and place of birth, place of residence, marital status, number of children, occupation, wealth and income, muster place and date, length of service, battles fought, medical experiences (e.g., illness, wounds, and hospital stays), health status, pension information, and date, place, and cause of death. Additional variables provide the place and date of birth of the recruits' wives, children, and parents. The data are organized into three sections according to state of enlistment. Section 1 (Parts 1, 2, 3, and 4) contains data from New England, Kansas, Missouri, Minnesota, Iowa, New Jersey, Indiana, Wisconsin, California, New Mexico, and the 20-company pilot sample. Section 2 (Parts 5, 6, 7, and 8) contains data from New York, Michigan, Washington, DC, Delaware, Kentucky, Maryland, and West Virginia, along with pensions data from the VA Archives. Section 3 (Parts 9, 10, 11, and 12) contains data from Ohio, Pennsylvania, and Illinois. The variables in Part 13, Linkage Data, indicate which major document sources were located for each recruit. Also, provided is information regarding death dates (Part 14) for individuals whose death records came from the pension payout cards. Approximate date of death was determined by examining the last record of payment to the pensioner.
Series: Civil War Veterans Series
These data are freely available.
WARNING: Because this study has many datasets, the download all files option has been suppressed, and you will need to download one dataset at a time.
WARNING: This study is over 150MB in size and may take several minutes to download on a typical internet connection.
Fogel, Robert W., et al. Aging of Veterans of the Union Army: Military, Pension, and Medical Records, 1820-1940. ICPSR06837-v6. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2006-06-05. doi:10.3886/ICPSR06837.v6
Persistent URL: http://doi.org/10.3886/ICPSR06837.v6
This survey was funded by:
- United States Department of Health and Human Services. National Institutes of Health (NIH PO1 AG10120)
- National Science Foundation (NSF SBR 9114981)
Scope of Study
Subject Terms: aging, American Civil War, causes of death, census data, demographic characteristics, disease, health status, labor force, medical records, midlife, military pensions, military recruitment, military service, mortality rates, nineteenth century, nutrition, socioeconomic status, twentieth century, Union Army, veterans
Geographic Coverage: 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 (state), Ohio, Pennsylvania, United States, Vermont, West Virginia, Wisconsin
Date of Collection:
Universe: Union Army recruits in white volunteer infantry regiments. Commissioned officers, Black recruits, and other branches of the military were excluded from the universe.
Data Types: administrative records data
Data Collection Notes:
(1) The data in Part 1 (containing the variables RECIDNUM through OTHRQC17) and Part 2 (containing the variables RECIDNUM and OTHRRN17 to AFCOND20) can be merged together on RECIDNUM to create the full file for the Section 1: Combined Data. Please note that this is a very large file when combined. The data in Part 5 (containing the variables RECIDNUM through OTHRQC17) and Part 6 (containing the variables RECIDNUM and OTHRRN17 to AFCOND20) can be merged together on RECIDNUM to create the full file for the Section 2: Combined Data. Please note that this is a very large file when combined. The data in Part 9 (containing the variables RECIDNUM through OTHRQC17) and Part 10 (containing the variables RECIDNUM and OTHRRN17 to AFCOND20) can be merged together on RECIDNUM to create the full file for the Section 3: Combined Data. Please note that this is a very large file when combined. (2) Users interested in the previous versions of this collection (Version M-2 or Version M-4) should contact ICPSR User Support. (3) The codebook is provided by the principal investigator as a Portable Document Format (PDF) file.
Sample: A one-stage cluster sample of Union Army companies was randomly selected from the Regimental Books housed at the National Archives in Washington, DC.
You can find more information via the sample characteristics utility:
Carded medical records, military service records, and Union Army pension records stored at the National Archives and Veterans Administration Archives in Washington, DC.
Original ICPSR Release: 1997-06-24
- 2006-06-05 The Stata files stored the 10 digit, numeric ID variable as 10f (floating), which altered the number and made it unuseable. It was necessary to change the RECIDNUM (unique record ID number required to merge files) to a string variable to retain the uniqueness and useability.
- 2006-04-05 The data have been reformatted to correct a problem with the field width for RECIDNUM. All data files have been formatted to contain 1 record per case.
- 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.
- 2000-11-02 A new version of this study containing data from New Mexico, California, Wisconsin, and Indiana, along with a 20-company pilot sample, has been supplied by the principal investigators. This version, Version M-5, completely supersedes the older versions of this collection. Also, parts for this collection have been renumbered.
- 1999-11-19 Logical record length data have been extracted from the SAS transport files for all parts, and SAS and SPSS data definition statements are now available for this collection. Also, the Combined Data has been broken into three parts (Parts 1-3) due to size limitations, causing the data files to be renumbered. Users should note that the variable counts given here reflect the actual counts, which differ from those given in the documentation. In addition, a file containing supplemental information has been added to the collection.
- 1999-01-26 A new version of this study, containing data for 16 additional states and the District of Columbia, has been supplied by the principal investigators. This version, Version M-4, completely supersedes the older version.
Related Publications (?)
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