1930 United States Federal Census contains records from Montpelier, Washington, Vermont, USA by Ancestry.com. 1930 United States Federal Census [database on-line]. Provo, UT, USA: Ancestry.com Operations Inc, 2002.; Year: 1930; Census Place: Montpelier, Washington, Vermont; Page: 11B; Enumeration District: 0023; FHL microfilm: 2342165; Original data: United States of America, Bureau of the Census. Fifteenth Census of the United States, 1930. Washington, D.C.: National Archives and Records Administration, 1930. T626, 2,667 rolls. - .

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

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.

This package contains three sets of crosswalks (and the code to create them) for use with the complete-count census data provided by IPUMS. Each crosswalk links observations in those data sets to variables that can be created only by using the restricted IPUMS-Ancestry.com data. The three sets of crosswalks are as follows, and all are based on the histid variable: lengths of individuals' first and last names; commonness of individuals' first and last names; and imputed occ1950 codes for individuals currently with the code 979 ("Not Yet Classified").V2 is identical to V1 except for code/Execute.sh

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.

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 Library. They are based on the collection of PA Sanborns housed at the same library.

PERIOD: Population census on Oct. 1,1920. SOURCE: [Survey by the Statistics Bureau, Imperial Cabinet].