100+ datasets found
  1. Household Types and Populations - Seattle Neighborhoods

    • catalog.data.gov
    Updated Dec 20, 2024
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    City of Seattle ArcGIS Online (2024). Household Types and Populations - Seattle Neighborhoods [Dataset]. https://catalog.data.gov/dataset/household-types-and-populations-seattle-neighborhoods
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    Dataset updated
    Dec 20, 2024
    Dataset provided by
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on household types and population related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B11003 Family Type by Presence and Age of Own Children under 18 Years, B11005 Households by Presence of People Under 18 Years by Household Type, B11007 Households by Presence of People 65 Years and Over by Household Type, B11001 Household Type (Including Living Alone), B11002 Household Type by Relatives and Nonrelatives for Population in Households, B25003 Tenure, B25008 Total Population in Occupied Housing Units by Tenure, B09019 Household Type (Including Living Alone) by Relationship. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B11003, B11005, B11007, B11001, B11002, B25003, B25008, B09019Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):<a href='https://www.census.gov/programs-surveys/acs/about.html' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel=

  2. Population Group Concepts and Types

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Population Group Concepts and Types [Dataset]. https://www.johnsnowlabs.com/marketplace/population-group-concepts-and-types/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    N/A
    Description

    This dataset contains the entire concept structure of UMLS Metathesaurus for the semantic type "Population Group". One of the primary purposes of this dataset is to connect different names for all the concepts for a specific Semantic Type. There are 125 semantic types in the Semantic Network. Every Metathesaurus concept is assigned at least one semantic type; very few terms are assigned as many as five semantic types.

  3. Distribution of world population 1900-2022, by regime type of country of...

    • statista.com
    Updated Jul 4, 2024
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    Distribution of world population 1900-2022, by regime type of country of residence [Dataset]. https://www.statista.com/statistics/1379594/people-world-distribution-regime-type/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    More than two thirds of the world population were living in some form of autocracy in 2022. This high share is explained by the fact that around one third of the world population is residing in India and China, classified as an electoral autocracy and closed autocracy, respectively. India falling from an electoral democracy to an electoral autocracy explains why the share of people living in autocracies increased sharply in 2017.

  4. d

    MeSH Population Groups (Type 5 SCR)

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Feb 3, 2025
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    National Library of Medicine (2025). MeSH Population Groups (Type 5 SCR) [Dataset]. https://catalog.data.gov/dataset/mesh-population-groups-type-5-scr
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    National Library of Medicine
    Description

    Working with partners across NIH, led by NIMHD and the NLM OBSSR-Behavioral Ontology Working Group, MeSH on November 29, 2022 added Federally recognized American Indian and Alaskan Native (AI/AN) tribal names and ethnic/ethnolinguistic minority terms as newly created type 5 SCR designated as “Population Groups”. These minority names (1,700+ terms) were mapped and reviewed by subject matter experts and scientists within NIH and from outside including Network of the National Library of Medicine members. Structure: All type 5 SCRs have common fields 1. CC=5 Population Group 2. ST=T098 Population Groups 3. HM= At least one HM is to an MH under Population Groups [M01.686] 4. TH= NIMHD(2023)

  5. Population Growth per thousand inhabitants according to year

    • ine.es
    csv, html, json +4
    Updated Jun 24, 2024
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    INE - Instituto Nacional de Estadística (2024). Population Growth per thousand inhabitants according to year [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=36660&L=1
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    xlsx, csv, json, txt, html, xls, text/pc-axisAvailable download formats
    Dataset updated
    Jun 24, 2024
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2024 - Jan 1, 2073
    Variables measured
    Type of data, Regional totals, Demographic Concepts
    Description

    Population Projections: Population Growth per thousand inhabitants according to year. Annual. National.

  6. Distribution of blood types in the U.S. as of 2023

    • statista.com
    Updated Mar 18, 2025
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    Statista (2025). Distribution of blood types in the U.S. as of 2023 [Dataset]. https://www.statista.com/statistics/1112664/blood-type-distribution-us/
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The eight main blood types are A+, A-, B+, B-, O+, O-, AB+, and AB-. The most common blood type in the United States is O-positive, with around 38 percent of the population having this type of blood. However, blood type O-positive is more common in Latino-Americans than other ethnicities, with around 53 percent of Latino-Americans with this blood type, compared to 47 percent of African Americans and 37 percent of Caucasians. Blood donation The American Red Cross estimates that every two seconds someone in the United States needs blood or platelets, highlighting the importance of blood donation. It was estimated that in 2021, around 6.5 million people in the U.S. donated blood, with around 1.7 million of these people donating for the first time. Those with blood type O-negative are universal blood donors, meaning their blood can be transfused for any blood type. Therefore, this blood type is the most requested by hospitals. However, only about seven percent of the U.S. population has this blood type. Blood transfusion Blood transfusion is a routine procedure that involves adding donated blood to a patient’s body. There are many reasons why a patient may need a blood transfusion, including surgery, cancer treatment, severe injury, or chronic illness. In 2021, there were around 10.76 million blood transfusions in the United States. Most blood transfusions in the United States occur in an inpatient medicine setting, while critical care accounts for the second highest number of transfusions.

  7. Population Distribution by Quarter Type in 2016

    • hub.arcgis.com
    • opendata.esrichina.hk
    Updated Jul 6, 2018
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    Esri China (Hong Kong) Ltd. (2018). Population Distribution by Quarter Type in 2016 [Dataset]. https://hub.arcgis.com/maps/90d3bd700afc41809e1d3fa1250b1288
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    Dataset updated
    Jul 6, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the Population distribution by quarter type in 2016 within the 18 districts of Hong Kong. It is a subset of the census data 2016 made available by the Census and Statistics Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in XLSX format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

  8. Distribution of blood types in the U.S. as of 2024, by ethnicity

    • statista.com
    Updated Mar 18, 2025
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    Statista (2025). Distribution of blood types in the U.S. as of 2024, by ethnicity [Dataset]. https://www.statista.com/statistics/1203831/blood-type-distribution-us-by-ethnicity/
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    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The most common blood type among the population in the United States is O-positive. Around 53 percent of the Latino-American population in the U.S. has blood type O-positive, while only around 37 percent of the Caucasian population has this blood type. The second most common blood type in the United States is A-positive. Around 33 percent of the Caucasian population in the United States has A-positive blood type. Blood type O-negative Those with blood type O-negative are universal donors as this type of blood can be used in transfusions for any blood type. O-negative blood type is most common in the U.S. among Caucasian adults. Around eight percent of the Caucasian population has type O-negative blood, while only around one percent of the Asian population has this blood type. Only around seven percent of all adults in the United States have O-negative blood type. Blood Donations The American Red Cross estimates that someone in the United States needs blood every two seconds. However, only around three percent of age-eligible people donate blood yearly. The percentage of adults who donated blood in the United States has not fluctuated much for the past two decades. In 2021, around 15 percent of U.S. adults donated blood, the same share reported in the year 2003.

  9. p

    Population and Housing Census 2019, Mini-Census 2019 - Nauru

    • microdata.pacificdata.org
    Updated Mar 11, 2020
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    Population and Housing Census 2019, Mini-Census 2019 - Nauru [Dataset]. https://microdata.pacificdata.org/index.php/catalog/739
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    Dataset updated
    Mar 11, 2020
    Dataset authored and provided by
    Nauru Bureau of Statistics
    Time period covered
    2019
    Area covered
    Nauru
    Description

    Abstract

    The 2019 Nauru mini census was carried out to update statistics on the population and the socio-economic situation of all persons living in private households in Nauru. Furthermore, the data collected in this census will be used as a sampling frame for future surveys that will be conducted in the country.

    Geographic coverage

    National coverage.

    Analysis unit

    Household and Individual.

    Kind of data

    Census/enumeration data [cen]

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    The questionnaire was developped in English using the World Bank software called Survey Solutions.

    The questionnaire is dividied into 4 main sections which are: - Household ID and Building Type: identification of the household; -Person Roster: questions related to household members (=individual characteristics, education, economic activities, disability); -Agriculture, Fisheries, Livestock and Aquaculture: questions related to these activities by household members; -Household: questions related to dwelling characteristics (=materials used for the dwelling, water storage).

    There are also 3 categories that are for the interviewers' use: -Geographic Information + Photo; -Appendices: interviewer instructions and EA categories; -Legend: legend and structure of information in the questionnaire.

  10. Hong Kong Population Distribution by Housing Type by small TPU in 2021

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • opendata.esrichina.hk
    • +1more
    Updated Jul 25, 2023
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    Esri China (Hong Kong) Ltd. (2023). Hong Kong Population Distribution by Housing Type by small TPU in 2021 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/b998078837ce4efbbf689152e6024130
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    Dataset updated
    Jul 25, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This layer shows the Hong Kong Population Distribution by Housing Type by Small Tertiary Planning Unit Group in 2021. It is a subset of the 2021 Population Census made available by the Census and Statistics Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data is in CSV format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of CSDI Portal at https://portal.csdi.gov.hk.

  11. i

    Patient Population by Provider Type - Dataset - The Indiana Data Hub

    • hub.mph.in.gov
    Updated Sep 14, 2017
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    (2017). Patient Population by Provider Type - Dataset - The Indiana Data Hub [Dataset]. https://hub.mph.in.gov/dataset/patient-population-by-provider-type
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    Dataset updated
    Sep 14, 2017
    Description

    This dataset is grouped by service provider type, and provides information about the number of recipients, number of claims, and dollar amount for given diagnosis claims. Restricted to claims with service date between 01/2012 to 12/2017. Restricted to claims with a primary diagnosis only. Restricted to top 100 most frequent diagnosis codes that are marked as primary diagnosis of a claim. Provider is the rendering provider in the claim. This data is for research purposes and is not intended to be used for reporting. Due to differences in geographic aggregation, time period considerations, and units of analysis, these numbers may differ from those reported by FSSA.

  12. Census Profile - Age, Sex and Type of Dwelling for Census Metropolitan Areas...

    • ouvert.canada.ca
    • open.canada.ca
    • +1more
    html, xml
    Updated Feb 23, 2022
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    Statistics Canada (2022). Census Profile - Age, Sex and Type of Dwelling for Census Metropolitan Areas and Census Agglomerations, 2016 Census [Dataset]. https://ouvert.canada.ca/data/dataset/815bd51e-de8f-4837-b2eb-2ab08529de20
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    html, xmlAvailable download formats
    Dataset updated
    Feb 23, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

  13. Dependency rate of the population over 64 years of age per year

    • ine.es
    csv, html, json +4
    Updated Jun 24, 2024
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    INE - Instituto Nacional de Estadística (2024). Dependency rate of the population over 64 years of age per year [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=36756&L=1
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    text/pc-axis, csv, xlsx, json, html, txt, xlsAvailable download formats
    Dataset updated
    Jun 24, 2024
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2024 - Jan 1, 2039
    Variables measured
    Provinces, Type of data, Demographic Concepts
    Description

    Population Projections: Dependency rate of the population over 64 years of age per year. Annual. Provinces.

  14. T

    Sweden - Distribution of population by household types: Three or more adults...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 26, 2020
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    TRADING ECONOMICS (2020). Sweden - Distribution of population by household types: Three or more adults [Dataset]. https://tradingeconomics.com/sweden/distribution-of-population-by-household-types-three-or-more-adults-eurostat-data.html
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Aug 26, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Sweden
    Description

    Sweden - Distribution of population by household types: Three or more adults was 3.00% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Sweden - Distribution of population by household types: Three or more adults - last updated from the EUROSTAT on March of 2025. Historically, Sweden - Distribution of population by household types: Three or more adults reached a record high of 3.70% in December of 2017 and a record low of 2.50% in December of 2009.

  15. 2021 American Community Survey: B28002 | PRESENCE AND TYPES OF INTERNET...

    • data.census.gov
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    ACS, 2021 American Community Survey: B28002 | PRESENCE AND TYPES OF INTERNET SUBSCRIPTIONS IN HOUSEHOLD (ACS 5-Year Estimates Selected Population Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT5YSPT2021.B28002?q=American%20Physical%20Svc
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

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

    Time period covered
    2021
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Data about computer and Internet use were collected by asking respondents to select "Yes" or "No" to each type of computer and each type of Internet subscription. Therefore, respondents were able to select more than one type of computer and more than one type of Internet subscription..The category "Broadband of any type" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle..Examples of "Internet access without a subscription" include cases such as free Internet service provided by a respondent's town or city or free Internet service a university may provide for their students..Internet access refers to whether or not a household uses or connects to the Internet, regardless of whether or not they pay for the service to do so. Data about Internet access was collected by asking if the respondent or any member of the household accessed the Internet. The respondent then selected one of the following three categories: "Yes, by paying a cell phone company or Internet service provider"; "Yes, without paying a cell phone company or Internet service provider"; or "No access to the Internet at the house, apartment or mobile home". Only respondents who answered "Yes, by paying a cell phone company or Internet service provider" were asked the subsequent question about the types of service they had access to such as dial-up, broadband (high speed) service such as cable, fiber-optic, or DSL, a cellular data plan, satellite or some other service..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").**...

  16. T

    Spain - Distribution of population by household types: Single person

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 16, 2020
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    TRADING ECONOMICS (2020). Spain - Distribution of population by household types: Single person [Dataset]. https://tradingeconomics.com/spain/distribution-of-population-by-household-types-single-person-eurostat-data.html
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Sep 16, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Spain
    Description

    Spain - Distribution of population by household types: Single person was 11.30% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Spain - Distribution of population by household types: Single person - last updated from the EUROSTAT on March of 2025. Historically, Spain - Distribution of population by household types: Single person reached a record high of 11.30% in December of 2024 and a record low of 8.40% in December of 2009.

  17. d

    Census of population and housing, 1970 special area profiles summary...

    • datamed.org
    • dataverse-staging.rdmc.unc.edu
    Updated Nov 30, 2007
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    (2007). Census of population and housing, 1970 special area profiles summary statistics [Dataset]. https://datamed.org/display-item.php?repository=0012&idName=ID&id=56d4b81ce4b0e644d312fa6b
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    Dataset updated
    Nov 30, 2007
    Description

    Data are composed of complete tract summaries There are to be five record types for each tract. Record type 1 is total population. Record type 2 is white population. Record type3 is Negro population. Record type 4 is Spanish-American population. Record type 5 is housing characteristics. Data are presented for race and ethnic origin, age, family type, veteran status, education, income, employment status, class of worker, industry, and occupation. Selected housing characteristics such as value, rent and year structure built are also provided

  18. Distribution of population by degree of urbanisation, dwelling type and...

    • data.europa.eu
    csv, html, tsv, xml
    Updated Nov 4, 2009
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    Eurostat (2009). Distribution of population by degree of urbanisation, dwelling type and income group [Dataset]. https://data.europa.eu/data/datasets/ii0xc8d8lvp1wk6edy1a?locale=en
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    tsv(110555), xml(8926), csv(343287), xml(236552), htmlAvailable download formats
    Dataset updated
    Nov 4, 2009
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Description

    Distribution of population by degree of urbanisation, dwelling type and income group

  19. Population in Norway 2023, by type of household

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Population in Norway 2023, by type of household [Dataset]. https://www.statista.com/statistics/586942/population-by-type-of-household-in-norway/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Norway
    Description

    The most common type of household in Norway in 2023 was couples without resident children. Close to 1.3 million of Norway's total population of 5.49 million people live in this type of household. Couples living with resident children between six and 17 years made up the second largest type of household, whereas people living alone made up the third largest group. The most common type of family was one-person families.

  20. d

    Census of Population, 2021 [Canada]: Data Tables, Type of Dwelling [B2020 &...

    • search.dataone.org
    Updated Dec 4, 2024
    + more versions
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    Statistics Canada (2024). Census of Population, 2021 [Canada]: Data Tables, Type of Dwelling [B2020 & CSV] [Dataset]. https://search.dataone.org/view/sha256%3A1670dc5156fa9d00d2cf21658bc51de8f2c1bc2a99ce3ff2221ac82253995402
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    Dataset updated
    Dec 4, 2024
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    Area covered
    Canada
    Description

    The Data Tables are a series of cross-tabulations presents a portrait of Canada based on the various census topics. They range in complexity and are available for various levels of geography. The topic of this dataset is Type of Dwelling.

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City of Seattle ArcGIS Online (2024). Household Types and Populations - Seattle Neighborhoods [Dataset]. https://catalog.data.gov/dataset/household-types-and-populations-seattle-neighborhoods
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Household Types and Populations - Seattle Neighborhoods

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Dataset updated
Dec 20, 2024
Dataset provided by
Area covered
Seattle
Description

Table from the American Community Survey (ACS) 5-year series on household types and population related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B11003 Family Type by Presence and Age of Own Children under 18 Years, B11005 Households by Presence of People Under 18 Years by Household Type, B11007 Households by Presence of People 65 Years and Over by Household Type, B11001 Household Type (Including Living Alone), B11002 Household Type by Relatives and Nonrelatives for Population in Households, B25003 Tenure, B25008 Total Population in Occupied Housing Units by Tenure, B09019 Household Type (Including Living Alone) by Relationship. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.Table created for and used in the Neighborhood Profiles application.Vintages: 2023ACS Table(s): B11003, B11005, B11007, B11001, B11002, B25003, B25008, B09019Data downloaded from: Census Bureau's Explore Census Data The United States Census Bureau's American Community Survey (ACS):<a href='https://www.census.gov/programs-surveys/acs/about.html' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel=

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