9 datasets found
  1. r

    Persons

    • redivis.com
    Updated Jan 13, 2020
    + more versions
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    Stanford Center for Population Health Sciences (2020). Persons [Dataset]. https://redivis.com/datasets/gsmz-24068kvny
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    Dataset updated
    Jan 13, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    1920
    Description

    This dataset includes all individuals from the 1920 US census.

  2. r

    Households

    • redivis.com
    Updated Jan 13, 2020
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    Stanford Center for Population Health Sciences (2020). Households [Dataset]. https://redivis.com/datasets/gsmz-24068kvny
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    Dataset updated
    Jan 13, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    1920
    Description

    This dataset includes all households from the 1920 US census.

  3. f

    Surnames and ancestry in Brazil

    • plos.figshare.com
    pdf
    Updated May 31, 2023
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    Leonardo Monasterio (2023). Surnames and ancestry in Brazil [Dataset]. http://doi.org/10.1371/journal.pone.0176890
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Leonardo Monasterio
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    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.

  4. r

    Lookup

    • redivis.com
    Updated Jan 13, 2020
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    Stanford Center for Population Health Sciences (2020). Lookup [Dataset]. https://redivis.com/datasets/gsmz-24068kvny
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    Dataset updated
    Jan 13, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Description

    This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1920 datasets.

  5. f

    Surname ancestry estimated according to the last or unique surname.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Leonardo Monasterio (2023). Surname ancestry estimated according to the last or unique surname. [Dataset]. http://doi.org/10.1371/journal.pone.0176890.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Leonardo Monasterio
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Surname ancestry estimated according to the last or unique surname.

  6. a

    State College Census & Directory Mapped, 1920

    • mapsgislib-pennstate.hub.arcgis.com
    Updated Oct 20, 2017
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    hdr10psu (2017). State College Census & Directory Mapped, 1920 [Dataset]. https://mapsgislib-pennstate.hub.arcgis.com/datasets/a0153e93d3724b8ab503ab948958426a
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    Dataset updated
    Oct 20, 2017
    Dataset authored and provided by
    hdr10psu
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    -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.

  7. f

    Hourly wages in Brazil (2013)- Analysis of variances.

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Leonardo Monasterio (2023). Hourly wages in Brazil (2013)- Analysis of variances. [Dataset]. http://doi.org/10.1371/journal.pone.0176890.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Leonardo Monasterio
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    Hourly wages in Brazil (2013)- Analysis of variances.

  8. h

    Household Heads, Family Members, Occupational Servants, and Domestic...

    • d-repo.ier.hit-u.ac.jp
    application/x-yaml +3
    Updated Nov 18, 2021
    + more versions
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    内閣統計局 (2021). Household Heads, Family Members, Occupational Servants, and Domestic Servants (Population census on Oct. 1, 1920) : Statistical Yearbook of Imperial Japan 50 (1931) Table 11 [Dataset]. https://d-repo.ier.hit-u.ac.jp/records/2005180
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    pdf, text/x-shellscript, txt, application/x-yamlAvailable download formats
    Dataset updated
    Nov 18, 2021
    Authors
    内閣統計局
    Time period covered
    Oct 1, 1920
    Area covered
    Japan, 日本
    Description

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

  9. a

    State College Sanborn + Census, 1930

    • mapsgislib-pennstate.hub.arcgis.com
    Updated Mar 21, 2017
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    hdr10psu (2017). State College Sanborn + Census, 1930 [Dataset]. https://mapsgislib-pennstate.hub.arcgis.com/items/28d90117dc924942951389e2ca53db50
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    Dataset updated
    Mar 21, 2017
    Dataset authored and provided by
    hdr10psu
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    State College
    Description

    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.

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Stanford Center for Population Health Sciences (2020). Persons [Dataset]. https://redivis.com/datasets/gsmz-24068kvny

Persons

Explore at:
Dataset updated
Jan 13, 2020
Dataset authored and provided by
Stanford Center for Population Health Sciences
Time period covered
1920
Description

This dataset includes all individuals from the 1920 US census.

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