Summary
This study presents 1860 data on population and farm production in 5,228 farms located in 405 major cotton-producing counties in the South. The data was compiled from the agriculture, slave, and population schedules of the 1860 United States manuscript Census. For each farm, variables describing farm land, machinery, crops, and livestock are included, as well as production figures for specific crops and types of livestock on the farm. The population variables tabulate the free and slave residents of each farm by sex, race, and age in five- or ten-year categories.
Citation
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Funding
National Science Foundation
Subject Terms
Geographic Coverage
Sample
A total of 405 counties produced over 1,000 bales of cotton in 1860. A random bloc of five farms was selected from every 280 farms located in the target counties (i.e., a five-farm bloc from every 14th page of the manuscript Census). The resulting sample thus comprised 1.67 percent of all farms in the major cotton-growing counties of the 11 states forming the Confederacy.
Universe
All farms located in Southern counties that produced over 1,000 bales of cotton in 1860.
Data Source
Schedules 1 (free population), 2 (slave population), and 4 (agricultural production) of the 1860 manuscript U.S. Census
census/enumeration data
Original Release Date
1984-05-11
Version Date
1992-02-16
Version History
1984-05-11 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Checked for undocumented or out-of-range codes.
Notes
Data in this collection are available only to users at ICPSR member institutions.
- The citation of this study may have changed due to the new version control system that has been implemented.

This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.