The population count of Washington County, AR was 228,529 in 2018.
Population
Population Change
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Demographics and Population Datasets Involving Washington County, AR
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WAOFM - Census - Population and Housing, 2000 and 2010
data.wa.gov | Last Updated 2021-09-01T17:20:31.000ZPopulation and housing information extracted from decennial census Public Law 94-171 redistricting summary files for Washington state for years 2000 and 2010.
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Driver Licenses and ID Cards Transferred to Washington
data.wa.gov | Last Updated 2023-09-14T20:45:00.000ZThis data set shows monthly counts of new Washington State driver licenses and identification cards (ID) where customers presented licenses or IDs from other states or countries. The data is organized by Washington counties where the customers live. It shows where the previous driver licenses or ID cards were issued.
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Social Vulnerability Index for Virginia by Census Tract, 2018
data.virginia.gov | Last Updated 2023-05-22T14:49:26.000Z"ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking." For more see https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2018.html
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Pierce County, WA -- COVID Risk Index Score
internal.open.piercecountywa.gov | Last Updated 2020-05-26T22:54:57.000ZPopulation over 60 (S0101), Women Who Had a Birth in the Past 12 Months (B13002), Below Poverty Level (B17015), No Health Insurance (B27001), Household Receiving SNAP Assistance (S2201), No Internet Access (B28002), Total Population (B01003) and Language at Home (C16001)
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American Community Survey 5 Year Estimates - Pierce County, WA
internal.open.piercecountywa.gov | Last Updated 2020-06-04T16:20:55.000ZPopulation over 60 (S0101), Women Who Had a Birth in the Past 12 Months (B13002), Below Poverty Level (B17015), No Health Insurance (B27001), Household Receiving SNAP Assistance (S2201), No Internet Access (B28002), Total Population (B01003) and Language at Home (C16001)
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2010 Census/ACS Basic Block Group Data
data.kcmo.org | Last Updated 2021-11-12T14:15:42.000Zbasic characteristics of people and housing for individual 2010 census block groups
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2010 Census/ACS Detailed Block Group Data
data.kcmo.org | Last Updated 2021-11-12T14:22:17.000Zdetailed characteristics of people and housing for individual 2010 census block groups
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Patient Characteristics Survey (PCS) 2022: Persons Served by Survey Year, Region of Provider, Gender, Age Group and Race/Ethnicity
data.ny.gov | Last Updated 2022-09-30T21:48:34.000ZThe data are organized by OMH Region‐specific (Region of Provider), program type, and by the following demographic characteristics of the clients served during the week of the survey: sex (Male, Female, X (Non-binary), and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.
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Point In Time Homeless Survey Data
data.sonomacounty.ca.gov | Last Updated 2019-07-12T18:26:35.000ZThe County of Sonoma conducts an annual homeless count for the entire county. The survey data is derived from a sample of about 600 homeless persons countywide per year. The resulting information is statistically reliable only for the county as a whole, not for individual locations. The exception is the City of Santa Rosa, where the sample taken within the city is large enough to be predictive of the overall homeless population in that city.
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2019 CEV: Current Population Survey Civic Engagement and Volunteering Supplement
data.americorps.gov | Last Updated 2023-05-01T20:53:51.000ZThe Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September of 2019. The CEV can support evidence-based decision making and efforts to understand how people make a difference in communities across the country. For topline findings from the 2019 CEV, please see: 1) Key findings summary report https://americorps.gov/sites/default/files/document/2019%20CPS%20CEV%20findings%20report%20CLEAN_10Dec2021_508.pdf 2) National rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/rhng-qtzw 3) National rates of all measures by demographics https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/bhmf-84dy 4) State-level rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-State-Level-Rates-of-All-Me/4r6x-re58 We encourage all users to download and review the following resources provided as attachments to this dataset: 1) CEV FAQs – answers to frequently asked technical questions about the CEV 2) 2019 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta) and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps 3) 2019 Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 4) 2019 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)