The population count of Pierce County, WI was 41,603 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 Pierce County, WI
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HR Race/Ethnicity Diversity
internal.open.piercecountywa.gov | Last Updated 2024-09-01T07:31:03.000ZThis dataset contains Pierce County's workforce diversity details by ethnicity, gender, and department.
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Demographic - Population Percent by Race Ethnicity (AsianPacific)by County WA
internal.open.piercecountywa.gov | Last Updated 2024-06-13T18:14:02.000ZACS1 data, with Asian and Pacific Islander combined
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Historic 2000 Census Block Groups
internal.open.piercecountywa.gov | Last Updated 2024-07-05T17:09:24.000ZHistoric 2000 Census Block Group polygons (have the same first digit of their four-digit identifiers within a census tract) for all of Pierce County, realigned to Pierce County roads, tax parcels, hydro, railroads, powerlines, etc. Population figures for race, ethnicity, median age, household size, household count, etc were downloaded from the US Census website and joined to this layer. Please read metadata for additional information (https://matterhorn.co.pierce.wa.us/GISmetadata/pdbis_census2000_block_groups.html). Any data download constitutes acceptance of the Terms of Use (https://matterhorn.co.pierce.wa.us/Disclaimer/PierceCountyGISDataTermsofUse.pdf).
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Historic 2000 Census Blocks
internal.open.piercecountywa.gov | Last Updated 2024-07-05T17:16:16.000ZHistoric 2000 Census Block polygons for all of Pierce County, realigned to Pierce County roads, parcels, hydro, railroads, powerlines, etc. Population figures for race, ethnicity, median age, household size, household count, etc were downloaded from the US Census website and joined to this layer. Please read metadata for additional information (https://matterhorn.co.pierce.wa.us/GISmetadata/pdbis_census2000_blocks.html). Any data download constitutes acceptance of the Terms of Use (https://matterhorn.co.pierce.wa.us/Disclaimer/PierceCountyGISDataTermsofUse.pdf).
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Historic 2000 Census Tracts
internal.open.piercecountywa.gov | Last Updated 2024-07-05T16:47:43.000ZHistoric 2000 Census Tract polygons for all of Pierce County, realigned to Pierce County roads, parcels, hydro, railroads, powerlines, etc. Population figures for race, ethnicity, median age, household size, household count, etc were downloaded from the US Census website and joined to this layer. Please read metadata for additional information (https://matterhorn.co.pierce.wa.us/GISmetadata/pdbis_census2000_tracts.html). Any data download constitutes acceptance of the Terms of Use (https://matterhorn.co.pierce.wa.us/Disclaimer/PierceCountyGISDataTermsofUse.pdf).
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NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015
data.ny.gov | Last Updated 2019-11-15T22:30:02.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).
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Bronx Zip Population and Density
bronx.lehman.cuny.edu | Last Updated 2012-10-21T14:06:17.000Z2010 Census Data on population, pop density, age and ethnicity per zip code
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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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Veterans Employment
internal.open.piercecountywa.gov | Last Updated 2024-02-16T18:24:00.000ZEmployment levels and percentages of veterans and non-veterans in the labor force over time.
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Social Vulnerability Index 2018 - United States, county
data.cdc.gov | Last Updated 2022-02-14T14:19:58.000ZATSDR’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. In addition to tract-level rankings, SVI 2018 also has corresponding rankings at the county level. Notes below that describe “tract” methods also refer to county methods.