This dataset includes all individuals from the 1920 US census.
This dataset includes all households from the 1920 US census.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This paper presents a method for classifying the ancestry of Brazilian surnames based on historical sources. The information obtained forms the basis for applying fuzzy matching and machine learning classification algorithms to more than 46 million workers in 5 categories: Iberian, Italian, Japanese, German and East European. The vast majority (96.7%) of the single surnames were identified using a fuzzy matching and the rest using a method proposed by Cavnar and Trenkle (1994). A comparison of the results of the procedures with data on foreigners in the 1920 Census and with the geographic distribution of non-Iberian surnames underscores the accuracy of the procedure. The study shows that surname ancestry is associated with significant differences in wages and schooling.
This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1920 datasets.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Surname ancestry estimated according to the last or unique surname.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
-Data Sources: Scanned copies of the U.S. Census for 1920 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. - 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Hourly wages in Brazil (2013)- Analysis of variances.
PERIOD: Population census on Oct. 1, 1920. SOURCE: [Survey by the Statistics Bureau, Imperial Cabinet].
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
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.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
This dataset includes all individuals from the 1920 US census.