6 datasets found
  1. Oklahoma Population density

    • knoema.de
    • knoema.es
    csv, json, sdmx, xls
    Updated Jun 28, 2023
    + more versions
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    Knoema (2023). Oklahoma Population density [Dataset]. https://knoema.de/atlas/Vereinigte-Staaten-von-Amerika/Oklahoma/Population-density
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    csv, json, sdmx, xlsAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2011 - 2022
    Area covered
    Oklahoma, USA
    Variables measured
    Population density
    Description

    22,60 (persons per sq. km) in 2022.

  2. Population of the United States in 1900, by state and ethnic status

    • statista.com
    Updated Oct 2, 2023
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    Statista (2023). Population of the United States in 1900, by state and ethnic status [Dataset]. https://www.statista.com/statistics/1067122/united-states-population-state-ethnicity-1900/
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    Dataset updated
    Oct 2, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1900
    Area covered
    United States
    Description

    New York was the most populous state in the union in the year 1900. It had the largest white population, for both native born and foreign born persons, and together these groups made up over 7.1 million of New York's 7.2 million inhabitants at this time. The United States' industrial centers to the north and northeast were one of the most important economic draws during this period, and states in these regions had the largest foreign born white populations. Ethnic minorities Immigration into the agricultural southern states was much lower than the north, and these states had the largest Black populations due to the legacy of slavery - this balance would begin to shift in the following decades as a large share of the Black population migrated to urban centers to the north during the Great Migration. The Japanese and Chinese populations at this time were more concentrated in the West, as these states were the most common point of entry for Asians into the country. The states with the largest Native American populations were to the west and southwest, due to the legacy of forced displacement - this included the Indian Territory, an unorganized and independent territory assigned to the Native American population in the early 1800s, although this was incorporated into Oklahoma when it was admitted into the union in 1907. Additionally, non-taxpaying Native Americans were historically omitted from the U.S. Census, as they usually lived in separate communities and could not vote or hold office - more of an effort was made to count all Native Americans from 1890 onward, although there are likely inaccuracies in the figures given here. Changing distribution Internal migration in the 20th century greatly changed population distribution across the country, with California and Florida now ranking among the three most populous states in the U.S. today, while they were outside the top 20 in 1900. The growth of Western states' populations was largely due to the wave of internal migration during the Great Depression, where unemployment in the east saw many emigrate to "newer" states in search of opportunity, as well as significant immigration from Latin America (especially Mexico) and Asia since the mid-1900s.

  3. a

    Population & Employment Density - 2010

    • acog-maps-and-data-acog.hub.arcgis.com
    • hub.arcgis.com
    Updated Jan 13, 2015
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    Association of Central Oklahoma Governments (2015). Population & Employment Density - 2010 [Dataset]. https://acog-maps-and-data-acog.hub.arcgis.com/maps/669797ab3acf4d0593301c77f2ebf753
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    Dataset updated
    Jan 13, 2015
    Dataset authored and provided by
    Association of Central Oklahoma Governments
    Area covered
    Description

    Depicts areas within 1/4 mile of Census block groups of varying combined 2010 population-employment density

  4. d

    2015 Cartographic Boundary File, Urban Area-State-County for Oklahoma,...

    • catalog.data.gov
    Updated Jan 13, 2021
    + more versions
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    (2021). 2015 Cartographic Boundary File, Urban Area-State-County for Oklahoma, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2015-cartographic-boundary-file-urban-area-state-county-for-oklahoma-1-500000
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    Dataset updated
    Jan 13, 2021
    Area covered
    Oklahoma
    Description

    The 2015 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2010.

  5. f

    County-level characteristic estimates associated with the number of...

    • plos.figshare.com
    xls
    Updated May 9, 2024
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    Aaron M. Wendelboe; Ozair H. Naqvi; Mary Williams; Heather Hollen; Kaitlin McGrew; Peng Li; Terrainia Harris; Ann F. Chou (2024). County-level characteristic estimates associated with the number of infections of (1) new IDU-associated HIV infections and (2) acute HCV infections, based on crude Poisson regression models, with p-value established at 0.05 for statistical significance. [Dataset]. http://doi.org/10.1371/journal.pone.0301442.t001
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    xlsAvailable download formats
    Dataset updated
    May 9, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Aaron M. Wendelboe; Ozair H. Naqvi; Mary Williams; Heather Hollen; Kaitlin McGrew; Peng Li; Terrainia Harris; Ann F. Chou
    License

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

    Description

    County-level characteristic estimates associated with the number of infections of (1) new IDU-associated HIV infections and (2) acute HCV infections, based on crude Poisson regression models, with p-value established at 0.05 for statistical significance.

  6. f

    Predicted rates of new IDU-associated HIV infection and acute HCV by...

    • figshare.com
    • plos.figshare.com
    xls
    Updated May 9, 2024
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    Predicted rates of new IDU-associated HIV infection and acute HCV by countya. [Dataset]. https://figshare.com/articles/dataset/Predicted_rates_of_new_IDU-associated_HIV_infection_and_acute_HCV_by_county_sup_a_sup_/25789280/1
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 9, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Aaron M. Wendelboe; Ozair H. Naqvi; Mary Williams; Heather Hollen; Kaitlin McGrew; Peng Li; Terrainia Harris; Ann F. Chou
    License

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

    Description

    Predicted rates of new IDU-associated HIV infection and acute HCV by countya.

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Knoema (2023). Oklahoma Population density [Dataset]. https://knoema.de/atlas/Vereinigte-Staaten-von-Amerika/Oklahoma/Population-density
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Oklahoma Population density

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
csv, json, sdmx, xlsAvailable download formats
Dataset updated
Jun 28, 2023
Dataset authored and provided by
Knoemahttp://knoema.com/
Time period covered
2011 - 2022
Area covered
Oklahoma, USA
Variables measured
Population density
Description

22,60 (persons per sq. km) in 2022.

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