100+ datasets found
  1. f

    Demographic variables for the sample.

    • datasetcatalog.nlm.nih.gov
    Updated Feb 20, 2013
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    Gasparovic, Chuck; Jung, Rex E.; Ryman, Sephira G.; Marshall, Alison N.; Flores, Ranee A.; Bedrick, Edward J. (2013). Demographic variables for the sample. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001700334
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    Dataset updated
    Feb 20, 2013
    Authors
    Gasparovic, Chuck; Jung, Rex E.; Ryman, Sephira G.; Marshall, Alison N.; Flores, Ranee A.; Bedrick, Edward J.
    Description

    Table legend: SD = standard deviation; FSIQ = Full Scale Intelligence Quotient.

  2. Descriptive statistics for the demographic variables of the full survey...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Oct 26, 2023
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    Daniela Alvarez-Vargas; David Braithwaite; Hugues Lortie-Forgues; Melody Moore; Sirui Wan; Elizabeth Martin; Drew Hal Bailey (2023). Descriptive statistics for the demographic variables of the full survey sample. [Dataset]. http://doi.org/10.1371/journal.pone.0286403.t001
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    xlsAvailable download formats
    Dataset updated
    Oct 26, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Daniela Alvarez-Vargas; David Braithwaite; Hugues Lortie-Forgues; Melody Moore; Sirui Wan; Elizabeth Martin; Drew Hal Bailey
    License

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

    Description

    Descriptive statistics for the demographic variables of the full survey sample.

  3. f

    Background socio-demographic variables for children in the sample.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jun 12, 2013
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    Cortina, Melissa A.; Stein, Alan; Tollman, Stephen; Kahn, Kathleen; Cortina-Borja, Mario; Fazel, Mina; Hlungwani, Tintswalo Mercy (2013). Background socio-demographic variables for children in the sample. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001727189
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    Dataset updated
    Jun 12, 2013
    Authors
    Cortina, Melissa A.; Stein, Alan; Tollman, Stephen; Kahn, Kathleen; Cortina-Borja, Mario; Fazel, Mina; Hlungwani, Tintswalo Mercy
    Description

    Note: Taken from the Agincourt HDSS 2007. +A household is defined as “a group of people who reside and eat together, plus the linked temporary migrants who would eat with them on return” [62]. Location refers to the physical dwelling place at which an individual is located.

  4. d

    ACS 5-Year Demographic Characteristics DC

    • catalog.data.gov
    • datalumos.org
    • +6more
    Updated May 7, 2025
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    City of Washington, DC (2025). ACS 5-Year Demographic Characteristics DC [Dataset]. https://catalog.data.gov/dataset/acs-5-year-demographic-characteristics-dc
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    Dataset updated
    May 7, 2025
    Dataset provided by
    City of Washington, DC
    Area covered
    Washington
    Description

    Age, Sex, Race, Ethnicity, Total Housing Units, and Voting Age Population. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: District-wide. Current Vintage: 2019-2023. ACS Table(s): DP05. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2025. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

  5. d

    ACS Demographic Characteristics DC Experimental

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Feb 5, 2025
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    D.C. Office of the Chief Technology Officer (2025). ACS Demographic Characteristics DC Experimental [Dataset]. https://catalog.data.gov/dataset/acs-demographic-characteristics-dc-experimental
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    Experimental Age, Sex, Race, and Ethnicity variables. Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data. This includes a limited number of data tables for the nation, states, and the District of Columbia. Please visit the following webpage for details. https://www.census.gov/programs-surveys/acs/data/experimental-data.htmlContact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: District-wide. Current Vintage: 2020. ACS Table(s): Demographic - Experimental. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: March 18, 2022. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

  6. American Community Survey, 2011-2015 [United States]: Public Use Microdata...

    • icpsr.umich.edu
    ascii, delimited +5
    Updated Aug 15, 2017
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    United States. Bureau of the Census (2017). American Community Survey, 2011-2015 [United States]: Public Use Microdata Sample: Artist Extract [Dataset]. http://doi.org/10.3886/ICPSR36854.v1
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    ascii, excel, sas, stata, delimited, r, spssAvailable download formats
    Dataset updated
    Aug 15, 2017
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36854/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36854/terms

    Time period covered
    Nov 2010 - Dec 2015
    Area covered
    Alaska, Arizona, Iowa, Arkansas, Maine, Massachusetts, Oklahoma, Nevada, Connecticut, West Virginia
    Description

    The American Community Survey (ACS) is an ongoing statistical survey that samples a small percentage of the population every year -- giving communities the information they need to plan investments and services. The 5-year public use microdata sample (PUMS) for 2011-2015 is a subset of the 2011-2011 ACS sample. It contains the same sample as the combined PUMS 1-year files for 2011, 2012, 2013, 2014 and 2015. This data collection provides a person-level subset of 129,895 respondents whose occupations were coded as arts-related in the 2011-2015 ACS PUMS. The 2011-2015 PUMS is the seventh 5-year file published by the ACS. This data collection contains five years of data for the population from households and the group quarters (GQ) population. The GQ population and population from households are all weighted to agree with the ACS counts which are an average over the five year period (2011-2015). The ACS sample was selected from all counties across the nation. The ACS provides social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States. Demographic variables include sex, age, relationship of person to the selected respondent, race, and Hispanic origin. Social characteristics variables include school enrollment, educational attainment, marital status, fertility, grandparents caring for children, veteran status, type of disability, health insurance, place of birth, United States citizenship status, year of entry, year of naturalization, language spoken at home, and ancestry. Variables focusing on economic characteristics include employment status, commuting to work, occupation, industry, class of worker, income and benefits, and poverty status.

  7. f

    Data_Sheet_1_The role of socio-demographic variables and buying habits in...

    • frontiersin.figshare.com
    pdf
    Updated Jun 2, 2023
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    Valentina Maria Merlino; Oriana Mosca; Simone Blanc; Antonina Sparacino; Stefano Massaglia; Danielle Borra; Giulia Mastromonaco; Ferdinando Fornara (2023). Data_Sheet_1_The role of socio-demographic variables and buying habits in determining milk purchasers’ preferences and choices.PDF [Dataset]. http://doi.org/10.3389/fnut.2023.1072208.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Valentina Maria Merlino; Oriana Mosca; Simone Blanc; Antonina Sparacino; Stefano Massaglia; Danielle Borra; Giulia Mastromonaco; Ferdinando Fornara
    License

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

    Description

    Emerging new purchasing behaviors have been reflected in the sales trends of dairy products, mainly in cow milk consumption. This study aimed to investigate the preferences of milk purchasers toward different product attributes, by considering both individuals’ socio-demographic characteristics (SD) and milk purchasing habits (PH) as independent variables in the milk consumption model definition. To achieve this objective, a questionnaire was administered to a sample of 1,216 residents in Northwest Italy. The application of the Best-Worst scaling (BWS) methodology to define the purchasers’ declared preferences toward a set of 12 milk attributes, showed that milk origin and expiry date are the most important attributes for milk choice in the decision-making process. The correlation analysis showed that the SD and milk purchasing habits variables affect the definition of stated preferences heterogeneously between the intrinsic, extrinsic, and credence attributes.

  8. Census of Population and Housing, 1970 [United States]: Public Use Samples

    • icpsr.umich.edu
    ascii
    Updated Feb 16, 1992
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    United States. Bureau of the Census (1992). Census of Population and Housing, 1970 [United States]: Public Use Samples [Dataset]. http://doi.org/10.3886/ICPSR00018.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/18/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/18/terms

    Time period covered
    1970
    Area covered
    Minnesota, South Dakota, Texas, Delaware, Wisconsin, Puerto Rico, Illinois, Vermont, Florida, District of Columbia
    Description

    This data collection contains 132 Public Use Microdata Samples (PUMS) files from the 1970 Census of Population and Housing. Information is provided in these files on the housing unit, such as occupancy and vacancy status of house, tenure, value of property, commercial use, year structure was built, number of rooms, availability of plumbing facilities, sewage disposal, bathtub or shower, complete kitchen facilities, flush toilet, water, telephone, and air conditioning. Data are also provided on household characteristics such as the number of persons aged 18 years and younger in the household, the presence of roomers, boarders, or lodgers, the presence of other nonrelative and of relative other than wife or child of head of household, the number of persons per room, the rent paid for unit, and the number of persons with Spanish surnames. Other demographic variables provide information on age, race, marital status, place of birth, state of birth, Puerto Rican heritage, citizenship, education, occupation, employment status, size of family, farm earnings, and family income. This hierarchical data collection contains approximately 214 variables for the 15-percent sample, 227 variables for the 5-percent sample, and 117 variables for the neighborhood characteristics sample.

  9. w

    Profile of General Demographic Characteristics for Census Tracts: 2000

    • data.wu.ac.at
    • gisdata.mn.gov
    fgdb, html, shp
    Updated Sep 3, 2015
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    Metropolitan Council (2015). Profile of General Demographic Characteristics for Census Tracts: 2000 [Dataset]. https://data.wu.ac.at/schema/gisdata_mn_gov/NjEwY2Q3MWItZWIxZS00NjgxLTk4ZGUtNDY0ZjgxYzFlNGJm
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    shp, fgdb, htmlAvailable download formats
    Dataset updated
    Sep 3, 2015
    Dataset provided by
    Metropolitan Council
    Area covered
    0ab4d2bf23cc4338a75a1ee791684b54db654343
    Description

    Summary File 1 Data Profile 1 (SF1 Table DP-1) for Census Tracts in the Minneapolis-St. Paul 7 County metropolitan area is a subset of the profile of general demographic characteristics for 2000 prepared by the U.S. Census Bureau.

    This table (DP-1) includes: Sex and Age, Race, Race alone or in combination with one or more otehr races, Hispanic or Latino and Race, Relationship, Household by Type, Housing Occupancy, Housing Tenure

    US Census 2000 Demographic Profiles: 100-percent and Sample Data

    The profile includes four tables (DP-1 thru DP-4) that provide various demographic, social, economic, and housing characteristics for the United States, states, counties, minor civil divisions in selected states, places, metropolitan areas, American Indian and Alaska Native areas, Hawaiian home lands and congressional districts (106th Congress). It includes 100-percent and sample data from Census 2000. The DP-1 table is available as part of the Summary File 1 (SF 1) dataset, and the other three tables are available as part of the Summary File 3 (SF 3) dataset.

    The US Census provides DP-1 thru DP-4 data at the Census tract level through their DataFinder search engine. However, since the Metropolitan Council and MetroGIS participants are interested in all Census tracts within the seven county metropolitan area, it was quicker to take the raw Census SF-1 and SF-3 data at tract levels and recreate the DP1-4 variables using the appropriate formula for each DP variable. This file lists the formulas used to create the DP variables.

  10. Census of Population and Housing [United States], 1970 Public Use Sample:...

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Aug 12, 2009
    + more versions
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    United States. Bureau of the Census (2009). Census of Population and Housing [United States], 1970 Public Use Sample: Modified 1/1000 15% State Samples [Dataset]. http://doi.org/10.3886/ICPSR07923.v2
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    ascii, sas, spssAvailable download formats
    Dataset updated
    Aug 12, 2009
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7923/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7923/terms

    Time period covered
    1970
    Area covered
    United States
    Description

    This data collection consists of modified records from CENSUS OF POPULATION AND HOUSING, 1970 [UNITED STATES]: PUBLIC USE SAMPLES (ICPSR 0018). The original records consisted of 120-character household records and 120-character person records, whereas the new modified records are rectangular (each person record is combined with the corresponding household record) with a length of 188, after the deletion of some items. Additional information was added to the data records, including typical educational requirement for current occupation, occupational prestige score, and group identification code. This version also differs from the original public use census samples in other ways: persons aged 15-75 were included, no majority males were included, but the majority males from CENSUS OF POPULATION AND HOUSING [UNITED STATES], 1970 PUBLIC USE SAMPLE: MODIFIED 1/1000 5% STATE SAMPLES (ICPSR 7922) were included for convenience, 10 percent of the Black population from each file was included, and Mexican Americans (identified by a Spanish surname) from outside the five southwestern states of Arizona, California, Colorado, New Mexico, and Texas were not included in this file. Variables provide information on the housing unit, such as occupancy and vacancy status of house, value of property, commercial use, ratio of rent and property value to family income, availability of plumbing facilities, sewage disposal, complete kitchen facilities, heating facilities, flush toilet, water, television, and telephone. Data are also provided on household characteristics such as household size, family size, and household relationships. Other demographic variables specify age, sex, place of birth, state of residence, Spanish descent, marital status, race, veteran status, income, and ratio of family income to poverty cutoff level. This collection was made available by the National Chicano Research Network of the Institute for Social Research, University of Michigan. See the related collection, CENSUS OF POPULATION AND HOUSING [UNITED STATES], 1970 PUBLIC USE SAMPLE: MODIFIED 1/1000 5% STATE SAMPLES (ICPSR 7922).

  11. Sample size of categorical demographic variables.

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Helen J. Burgess; Louis F. Fogg (2023). Sample size of categorical demographic variables. [Dataset]. http://doi.org/10.1371/journal.pone.0003055.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Helen J. Burgess; Louis F. Fogg
    License

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

    Description

    aMenstrual phase is only reported for females not using hormonal birth control.

  12. c

    Census of Population and Housing, 1950: Public Use Microdata Sample

    • archive.ciser.cornell.edu
    Updated Feb 20, 2020
    + more versions
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    Bureau of the Census (2020). Census of Population and Housing, 1950: Public Use Microdata Sample [Dataset]. http://doi.org/10.6077/j5/0mbave
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    Dataset updated
    Feb 20, 2020
    Dataset authored and provided by
    Bureau of the Census
    Variables measured
    Household, Individual
    Description

    This data collection contains a stratified 1-percent sample of households, with separate records for each household, each "sample line" respondent, and each person in the household. These records were encoded from microfilm copies of original handwritten enumeration schedules from the 1950 Census of Population. Geographic identification of the location of the sampled households includes Census regions and divisions, states (except Alaska and Hawaii), Standard Metropolitan Areas (SMAs), and State Economic Areas (SEAs). The data collection was constructed from and consists of 20 independently-drawn subsamples stored in 20 discrete physical files. The 1950 Census had both a complete-count and a sample component. Individuals selected for the sample component were asked a set of additional questions. Only households with a sample line person were included in the 1950 Public Use Microdata Sample. The collection also contains records of group quarters members who were also on the Census sample line. Each household record contains variables describing the location and composition of the household. The sample line records contain variables describing demographic characteristics such as nativity, marital status, number of children, veteran status, education, income, and occupation. The person records contain demographic variables such as nativity, marital status, family membership, and occupation. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08251.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  13. D

    ACS 1-Year Demographic Characteristics DC

    • datalumos.org
    • opdatahub.dc.gov
    • +3more
    Updated Sep 19, 2025
    + more versions
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    City of Washington, DC (2025). ACS 1-Year Demographic Characteristics DC [Dataset]. http://doi.org/10.3886/E238111V1
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    Dataset updated
    Sep 19, 2025
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Washington
    Description

    Age, Sex, Race, Ethnicity, Total Housing Units, and Voting Age Population. This service is updated annually with American Community Survey (ACS) 1-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: District-wide. Current Vintage: 2023. ACS Table(s): DP05. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 3, 2025. National Figures: data.census.gov. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes: This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

  14. c

    Census of Population and Housing, 1960: Public Use Sample, 1 in 100

    • archive.ciser.cornell.edu
    Updated Feb 13, 2020
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    Bureau of the Census (2020). Census of Population and Housing, 1960: Public Use Sample, 1 in 100 [Dataset]. http://doi.org/10.6077/j5/ohycfx
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    Dataset updated
    Feb 13, 2020
    Dataset authored and provided by
    Bureau of the Census
    Variables measured
    Individual, Household
    Description

    This collection contains individual-level and 1-percent national sample data from the 1960 Census of Population and Housing conducted by the Census Bureau. It consists of a representative sample of the records from the 1960 sample questionnaires. The data are stored in 30 separate files, containing in total over two million records, organized by state. Some files contain the sampled records of several states while other files contain all or part of the sample for a single state. There are two types of records stored in the data files: one for households and one for persons. Each household record is followed by a variable number of person records, one for each of the household members. Data items in this collection include the individual responses to the basic social, demographic, and economic questions asked of the population in the 1960 Census of Population and Housing. Data are provided on household characteristics and features such as the number of persons in household, number of rooms and bedrooms, and the availability of hot and cold piped water, flush toilet, bathtub or shower, sewage disposal, and plumbing facilities. Additional information is provided on tenure, gross rent, year the housing structure was built, and value and location of the structure, as well as the presence of air conditioners, radio, telephone, and television in the house, and ownership of an automobile. Other demographic variables provide information on age, sex, marital status, race, place of birth, nationality, education, occupation, employment status, income, and veteran status. The data files were obtained by ICPSR from the Center for Social Analysis, Columbia University. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07756.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  15. ACS-ED 2014-2018 Children-Enrolled Public: Demographic Characteristics...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Oct 21, 2024
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    National Center for Education Statistics (NCES) (2024). ACS-ED 2014-2018 Children-Enrolled Public: Demographic Characteristics (CDP05) [Dataset]. https://catalog.data.gov/dataset/acs-ed-2014-2018-children-enrolled-public-demographic-characteristics-cdp05-c01c3
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data. -9 An '-9' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small. -8 An '-8' means that the estimate is not applicable or not available. -6 A '-6' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. -5 A '-5' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. -3 A '-3' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate. -2 A '-2' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

  16. o

    National Neighborhood Data Archive (NaNDA): Socioeconomic Status and...

    • openicpsr.org
    Updated Jul 15, 2024
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    Philippa Clarke; Robert Melendez; Lindsay Gypin (2024). National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of Census Tracts, 1990-2010 [Dataset]. http://doi.org/10.3886/E207962V1
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    Dataset updated
    Jul 15, 2024
    Dataset provided by
    University of Michigan. Institute for Social Research
    Authors
    Philippa Clarke; Robert Melendez; Lindsay Gypin
    License

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

    Time period covered
    1990 - 2010
    Area covered
    United States
    Description

    This dataset contains measures of socioeconomic and demographic characteristics by US census tract 1990-2010. Example measures include population density; population distribution by race, ethnicity, age, and income; and proportion of population living below the poverty level, receiving public assistance, and female-headed families. The dataset also contains a set of index variables to represent neighborhood disadvantage and affluence.

  17. H

    Current Population Survey

    • dataverse.harvard.edu
    • data.niaid.nih.gov
    Updated May 31, 2011
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    Harvard Dataverse (2011). Current Population Survey [Dataset]. http://doi.org/10.7910/DVN/35IUVQ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 31, 2011
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Users can download data or view data tables on topics related to the labor force of the United States. Background Current Population Survey is a joint effort between the Bureau of Labor Statistics and the Census Bureau. It provides information and data on the labor force of the United States, such as: employment, unemployment, earnings, hours of work, school enrollment, health, employee benefits and income. The CPS is conducted monthly and has a sample of approximately 50,000 households. It is representative of the non-institutionalized US population. The sample provides estimates for the nation as a whole and serves as part of model-based estimates for individual states and other geographic areas. User Functionality Users can download data sets or view data tables on their topic of interest. Data can be organized by a variety of demographic variables, including: sex, age, race, marital status and educational attainment. Data is available on a national or state level. Data Notes The CPS is conducted monthly and has a sample of approximately 50,000 households. It is representative of the non-institutionalized US population. The sample provides estimates for th e nation as a whole and serves as part of model-based estimates for individual states and other geographic areas.

  18. ACS-ED 2013-2017 Children-Enrolled Public: Demographic Characteristics...

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Oct 21, 2024
    + more versions
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    National Center for Education Statistics (NCES) (2024). ACS-ED 2013-2017 Children-Enrolled Public: Demographic Characteristics (CDP05) [Dataset]. https://catalog.data.gov/dataset/acs-ed-2013-2017-children-enrolled-public-demographic-characteristics-cdp05-2964e
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.-9An '-9' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.-8An '-8' means that the estimate is not applicable or not available.-6A '-6' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.-5A '-5' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate.-3A '-3' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.-2A '-2' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

  19. Adjusted multiple regression analysis models showing independently...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Defaru Desalegn; Shimelis Girma; Tilahun Abdeta (2023). Adjusted multiple regression analysis models showing independently associated factors with domains of quality of life and overall quality of life among people with schizophrenia (n = 351). [Dataset]. http://doi.org/10.1371/journal.pone.0229514.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Defaru Desalegn; Shimelis Girma; Tilahun Abdeta
    License

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

    Description

    Adjusted multiple regression analysis models showing independently associated factors with domains of quality of life and overall quality of life among people with schizophrenia (n = 351).

  20. Demographic characteristics of sample (participants).

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Jonathan M. Adler; Hal E. Hershfield (2023). Demographic characteristics of sample (participants). [Dataset]. http://doi.org/10.1371/journal.pone.0035633.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jonathan M. Adler; Hal E. Hershfield
    License

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

    Description

    Note:For Income: 1 = Under $10,000, 2 = $10,000 to $20,000, 3 = $21,000 to $40,000, 4 = $41000 to $60,000, 5 = $61,000 to $100,000, 6 = Over $100,000.For Education: 1 = Less than high school, 2 = High school/GED, 3 = Some college, 4 = Technical school degree, 5 = Associate degree (2 year college), 6 = Bachelor's degree, 7 = Master's degree, 8 = Professional doctoral degree or equivalent.

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Gasparovic, Chuck; Jung, Rex E.; Ryman, Sephira G.; Marshall, Alison N.; Flores, Ranee A.; Bedrick, Edward J. (2013). Demographic variables for the sample. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001700334

Demographic variables for the sample.

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Dataset updated
Feb 20, 2013
Authors
Gasparovic, Chuck; Jung, Rex E.; Ryman, Sephira G.; Marshall, Alison N.; Flores, Ranee A.; Bedrick, Edward J.
Description

Table legend: SD = standard deviation; FSIQ = Full Scale Intelligence Quotient.

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