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 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

This dataset was created on 2020-01-10 22:52:11.461 by merging multiple datasets together. The source datasets for this version were:

IPUMS 1930 households: This dataset includes all households from the 1930 US census.

IPUMS 1930 persons: This dataset includes all individuals from the 1930 US census.

IPUMS 1930 Lookup: This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1930 datasets.

Section 2

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 1930 census data was collected in April 1930. 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 SPLIT, reconstructed using the variable SPLITHID, and the original count is found in the variable SPLITNUM.

• Coded variables derived from string variables are still in progress. These variables include: occupation and industry.

• Missing observations have been allocated and some inconsistencies have been edited for the following variables: SPEAKENG, YRIMMIG, CITIZEN, AGEMARR, AGE, BPL, MBPL, FBPL, LIT, SCHOOL, OWNERSHP, FARM, EMPSTAT, OCC1950, IND1950, MTONGUE, MARST, RACE, SEX, RELATE, CLASSWKR. 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 edite

Census Year 1930 Census Tracts. The dataset contains polygons representing CY 1930 census tracts, created as part of the D.C. Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Census tracts were identified from maps provided by the U.S. Census Bureau and the D.C. Office of Planning. The tract polygons were created by selecting street arcs from the WGIS planimetric street centerlines. Where necessary, polygons were also heads-up digitized from 1995/1999 orthophotographs. METADATA CONTENT IS IN PROCESS OF VALIDATION AND SUBJECT TO CHANGE.

This dataset includes all individuals from the 1930 US census.

This dataset includes all households from the 1930 US census.

This is the census data collected for Austin, Texas in 1930.

The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.

This is the shapefile of the mapped 1930 census data for Austin, Texas.

This application displays the buildings in State College borough in 1930 as polygon features. The buildings are linked to a table with the contents of the 1930 Census of State College. Click on a building to bring up information about its physical features, such as building material or number of floors, as well as its address and associated land use. If the building contained residents listed on the Census, scroll down within the info box and click on the link below "Related Tables" to bring up a list of the residents. Clicking on a resident in the list will open that resident's entry in the Census table, which includes socioeconomic information such as their name, age, nationality, marital status, and occupation. Residents can also be searched for by name in the Query box that appears on the left side of the screen. Data Sources- Scanned copies of the U.S. Census for various years (including 1920 and 1930) available from Ancestry Library Edition database.- Sanborn shapefiles were created by Bednar student interns at Penn State's Pattee/Paterno Library. They are based on the collection of PA Sanborns housed in the Maps Collection at the library.

The 1930 census. Areas of each municipality of the Netherlands, in the 9 groups of municipalities, the 11 provinces and the Netherlands total according to the situation of 31 December 1930.

The data on the areas are derived from Part 1, Tables VII, VIII and IX.

For the 9 municipal size groups, not all areas are given in Table IX. These areas were calculated by adding those of the municipalities concerned.

Data available for: 1930

Status of the figures: The data in this table are final.

Changes as of 1 June 2018: None, this table has been discontinued.

When will there be new figures? No longer applicable.

The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.

This dataset contains data on population by sex and age on the basis of the results of the Census Data of Latvia, which was carried out on 24 February 1930. Dataset "Latvian Population by Sex and Age in 1930 Census Data" was published implementing project "Historical Sociology of Modern Restorations: a Cross-Time Comparative Study of Post-Communist Transformation in the Baltic States" from 2018 to 2022. Project leader is prof. Zenonas Norkus. Project is funded by the European Social Fund according to the activity "Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712".

Dataset

This dataset was created by Alex Hoffman

Contents

This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1930 datasets.

1930 census; family statistics. Families divided according to their composition due to family size and number of children.

The data are derived from Part 4B, Table I.

Data available for: 1930

Status of the figures: The data in this table are final.

Changes as of 4 June 2018: None, this table has been discontinued.

When will there be new figures? No longer applicable.

1930 census; housing statistics. Inhabited dwellings divided into rooms and residents per departure in connection with sleeping spaces.

The data are derived from Part 4A, Tables I and II.

Data available for: 1930

Status of the figures: The data in this table are final.

Changes as of 4 June 2018: None, this table has been discontinued.

When will there be new figures? No longer applicable.

The dataset is based on two separate censuses of the Netherlands of 1920, population census (7 vols) and occupational census (3 vols).Content: images of the publication, pdf files of the text sections and excel files with data entered from the published tables.

1930 Census; housing statistics. Dwellings of families, stating the dwellings with 1 or at most 2 bedrooms, in which, among other things or exclusively, persons of the same sex, aged 14 and older, who are not married to each other, have been found. The data is taken from Part 4A, Table III. Data available for: 1930 Status of the figures: The data in this table are final. Changes as of June 4, 2018: None, this table has been discontinued. When will new numbers come out? Not applicable anymore.

This crosswalk consists of individuals matched between the 1900 and 1930 complete-count US Censuses. Within the crosswalk, users have the option to select the linking method with which these matches were created. This version of the crosswalk contains links made by the ABE-exact (conservative and standard) method, the ABE-NYSIIS (conservative and standard) method and the ABE-NYSIIS (conservative and standard) method where race is used as a matching variable. For any chosen method, users can merge into this crosswalk a wide set of individual- and household-level variables provided publicly by IPUMS, thereby creating a historical longitudinal dataset for analysis.

The 1930 census. Division of the population of the various congregations, of the groups of congregations, of the provinces, and of the Empire by sex and place of birth.

The data are derived from Part 2, Table IV.

Data available for: 1930

Status of the figures: The data in this table are final.

Changes as of 4 June 2018: None, this table has been discontinued.

When will there be new figures? No longer applicable.

This crosswalk consists of individuals matched between the 1920 and 1930 complete-count US Censuses. Within the crosswalk, users have the option to select the linking method with which these matches were created. This version of the crosswalk contains links made by the ABE-exact (conservative and standard) method, the ABE-NYSIIS (conservative and standard) method and the ABE-NYSIIS (conservative and standard) method where race is used as a matching variable. For any chosen method, users can merge into this crosswalk a wide set of individual- and household-level variables provided publicly by IPUMS, thereby creating a historical longitudinal dataset for analysis.