1840 United States Census contains records from Harrison, Licking County, Ohio, USA by Year: 1840; Census Place: Harrison, Licking, Ohio; Roll: 408; Page: 334; Family History Library Film: 0020170 || 1840 United States Federal Census - Ancestry.com Operations, Inc., 2010. || Images reproduced by FamilySearch. - Original data: Sixth Census of the United States, 1840. (NARA microfilm publication M704, 580 rolls). Records of the Bureau of the Census, Record Group 29. National Archives, Washington, D.C. - .

1830 United States Census contains records from Middlesex, New Jersey, North Brunswick by Year: 1830; Census Place: North Brunswick, Middlesex, New Jersey; Series: M19; Roll: 83; Page: 225; Family History Library Film: 0337936 || Ancestry.com. 1830 United States Federal Census [database on-line]. Provo, UT, USA: Ancestry.com Operations, Inc., 2010. Images reproduced by FamilySearch. || Fifth Census of the United States, 1830. (NARA microfilm publication M19, 201 rolls). Records of the Bureau of the Census, Record Group 29. National Archives, Washington, D.C. - .

Abstract

The Integrated Public Use Microdata Series (IPUMS) Complete Count Data include more than 650 million individual-level and 7.5 million household-level records. The IPUMS microdata are the result of collaboration between IPUMS and the nation’s two largest genealogical organizations—Ancestry.com and FamilySearch—and provides the largest and richest source of individual level and household data.

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Documentation

Historic data are scarce and often only exists in aggregate tables. The key advantage of historic US census data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier.

In sum: the historic US census data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.Historic data are scarce and often only exists in aggregate tables. The key advantage of historic US census data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier. In sum: the historic US census data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.

The historic US 1940 census data was collected in April 1940. Enumerators collected data traveling to households and counting the residents who regularly slept at the household. Individuals lacking permanent housing were counted as residents of the place where they were when the data was collected. Household members absent on the day of data collected were either listed to the household with the help of other household members or were scheduled for the last census subdivision.

Notes

• We provide IPUMS household and person data separately so that it is convenient to explore the descriptive statistics on each level. In order to obtain a full dataset, merge the household and person on the variables SERIAL and SERIALP. In order to create a longitudinal dataset, merge datasets on the variable HISTID.
• Households with more than 60 people in the original data were broken up for processing purposes. Every person in the large households are considered to be in their own household. The original large households can be identified using the variable SPLIT40, reconstructed using the variable SERIAL40, and the original count is found in the variable NUMPREC40.
• Some variables are missing from this data set for specific enumeration districts. The enumeration districts with missing data can be identified using the variable EDMISS. These variables will be added in a future release.
• Coded variables derived from string variables are still in progress. These variables include: occupation, industry and migration status.
• Missing observations have been allocated and some inconsistencies have been edited for the following variables: Missing observations have been allocated and some inconsistencies have been edited for the following variables: SURSIM, SEX, SCHOOL, RELATE, RACE, OCC1950, MTONGUE, MBPL, FBPL, BPL, MARST, EMPSTAT, CITIZEN, OWNERSHP. The flag variables indicating an allocated observation for the associated variables can be included in your extract by clicking the ‘Select data quality flags’ box on the extract summary page.
• Most inconsistent information was not edited for this release, thus there are observations outside of the universe for many variables. In particular, the variables GQ, and GQTYPE have known inconsistencies and will be improved with the next r

1825 Census of Lower Canada contains records from St. Jean, Deschaillons, Bécancour, Quebec, Canada by Ancestry.com. 1825 Census of Lower Canada [database on-line]. Provo, UT, USA: Ancestry.com Operations, Inc., 2014.; Original data: Canada, Lower Canada Census, 1825. Salt Lake City, Utah: FamilySearch, 2013. - Page: 426; Affiliate Publication Title: 1825 Lower Canada Census; Affiliate Publication Number: MG 31 C1; FHL Film Number: 2443957.