12 datasets found
  1. F

    Percent of Population Below the Poverty Level (5-year estimate) in Pierce...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
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    (2024). Percent of Population Below the Poverty Level (5-year estimate) in Pierce County, WA [Dataset]. https://fred.stlouisfed.org/series/S1701ACS053053
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Pierce County, Washington
    Description

    Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Pierce County, WA (S1701ACS053053) from 2012 to 2023 about Pierce County, WA; Seattle; WA; percent; poverty; 5-year; population; and USA.

  2. D

    Poverty and Employment Status - Seattle Neighborhoods

    • data.seattle.gov
    • catalog.data.gov
    • +1more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Poverty and Employment Status - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/d/9f8r-eu9y
    Explore at:
    csv, xml, application/rssxml, application/rdfxml, json, tsvAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on poverty and employment status related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B23025 Employment Status for the Population 16 years and over, B23024 Poverty Status by Disability Status by Employment Status for the Population 20 to 64 years, B17010 Poverty Status of Families by Family Type by Presence of Related Children under 18 years, C17002 Ratio of Income to Poverty Level in the Past 12 Months. 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: 2023
    ACS Table(s): B23025, B23024, B17010, C17002


    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. 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:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). 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 erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in

  3. U.S. Washington poverty rate 2000-2023

    • statista.com
    Updated Oct 16, 2024
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    Statista (2024). U.S. Washington poverty rate 2000-2023 [Dataset]. https://www.statista.com/statistics/205715/poverty-rate-in-washington/
    Explore at:
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, 10.3 percent of Washington's population lived below the poverty line. This was a slight increase from the previous year, when about ten percent of the state's population lived below the poverty line. The poverty rate of the United States since 1990 can be accessed here.

  4. F

    Percent of Population Below the Poverty Level (5-year estimate) in King...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Percent of Population Below the Poverty Level (5-year estimate) in King County, WA [Dataset]. https://fred.stlouisfed.org/series/S1701ACS053033
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    King County, Washington
    Description

    Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in King County, WA (S1701ACS053033) from 2012 to 2023 about King County, WA; Seattle; WA; percent; poverty; 5-year; population; and USA.

  5. D

    POVERTY STATUS IN THE PAST 12 MONTHS OF INDIVIDUALS BY SEX BY WORK...

    • data.seattle.gov
    • catalog.data.gov
    • +2more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). POVERTY STATUS IN THE PAST 12 MONTHS OF INDIVIDUALS BY SEX BY WORK EXPERIENCE (B17004) [Dataset]. https://data.seattle.gov/dataset/POVERTY-STATUS-IN-THE-PAST-12-MONTHS-OF-INDIVIDUAL/iqig-hn27
    Explore at:
    tsv, json, csv, xml, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Table from the American Community Survey (ACS) B17004 of poverty status in the past 12 months of individuals by sex by work experience. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.


    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades.

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): B17004


    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. 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:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). 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 erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important <span

  6. D

    POVERTY STATUS OF THE POPULATION (B17001)

    • data.seattle.gov
    application/rdfxml +5
    Updated Oct 22, 2024
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    (2024). POVERTY STATUS OF THE POPULATION (B17001) [Dataset]. https://data.seattle.gov/dataset/POVERTY-STATUS-OF-THE-POPULATION-B17001-/tb5u-77ch
    Explore at:
    xml, csv, application/rssxml, json, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Table from the American Community Survey (ACS) B17001 poverty status of the population. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.


    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades.

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): B17001


    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. 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:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). 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 erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as<span

  7. D

    POVERTY STATUS OF FAMILIES (B17010)

    • data.seattle.gov
    • data-seattlecitygis.opendata.arcgis.com
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). POVERTY STATUS OF FAMILIES (B17010) [Dataset]. https://data.seattle.gov/dataset/POVERTY-STATUS-OF-FAMILIES-B17010-/euzi-n27d
    Explore at:
    csv, tsv, xml, application/rssxml, json, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Table from the American Community Survey (ACS) B17010 poverty status of families by family type. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.


    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades.

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): B17010


    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. 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:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). 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 erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as<span

  8. d

    Design Review Equity Areas

    • catalog.data.gov
    Updated Feb 28, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Design Review Equity Areas [Dataset]. https://catalog.data.gov/dataset/design-review-equity-areas-8c204
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Design Review Equity Areas are areas of Seattle where applicants for development projects going through the City’s Design Review program are required to work with staff from the Department of Neighborhoods (DON) to customize their community outreach plan to the needs of historically underrepresented communities. Equity Areas are identified based on local demographic and socioeconomic characteristics from the US Census Bureau. Equity Areas are census tracts having a census-tract average greater than the city-as-a-whole average for at least two of the following characteristics: 1. Limited English proficiency, identified as percentage of households that are linguistically isolated households. 2. People of Color, identified as percentage of the population that is not non-Hispanic white; and 3. Income, identified as percentage of population with income below 200% of the federal poverty level. For more information please see Director’s Rule for Early Community Outreach for Design Review. Additional resources and FAQs are available on DON’s Early Community Outreach webpage. Data Source: US Census Bureau’s American Community Survey 2016 Five-Year Estimates. This map will be evaluated and updated every three years.<span style='font-size:11.0pt;line-height:107%;font-family:"Calibri",sans-serif; mso-ascii

  9. a

    Design Review Equity Areas

    • data-seattlecitygis.opendata.arcgis.com
    Updated Apr 24, 2019
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    City of Seattle ArcGIS Online (2019). Design Review Equity Areas [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::design-review-equity-areas
    Explore at:
    Dataset updated
    Apr 24, 2019
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    Design Review Equity Areas are areas of Seattle where applicants for development projects going through the City’s Design Review program are required to work with staff from the Department of Neighborhoods (DON) to customize their community outreach plan to the needs of historically underrepresented communities.

    Equity Areas are identified based on local demographic and socioeconomic characteristics from the US Census Bureau. Equity Areas are census tracts having a census-tract average greater than the city-as-a-whole average for at least two of the following characteristics:

    1. Limited English proficiency, identified as percentage of households that

    are linguistically isolated households.

    2. People of Color, identified as percentage of the population that is not non-Hispanic white; and

    3. Income, identified as percentage of population with income below 200% of the federal poverty level.

    For more information please see Director’s Rule for Early Community Outreach for Design Review. Additional resources and FAQs are available on DON’s Early Community Outreach webpage.

    Data Source: US Census Bureau’s American Community Survey 2016 Five-Year Estimates.

    This map will be evaluated and updated every three years.This layer is used in the SDCI Web Map.

  10. A

    ‘Design Review Equity Areas’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Sep 14, 2017
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2017). ‘Design Review Equity Areas’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-design-review-equity-areas-5871/latest
    Explore at:
    Dataset updated
    Sep 14, 2017
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Design Review Equity Areas’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/089df353-bbe6-4256-ad9a-03263e375631 on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    Design Review Equity Areas are areas of Seattle where applicants for development projects going through the City’s Design Review program are required to work with staff from the Department of Neighborhoods (DON) to customize their community outreach plan to the needs of historically underrepresented communities.

    Equity Areas are identified based on local demographic and socioeconomic characteristics from the US Census Bureau. Equity Areas are census tracts having a census-tract average greater than the city-as-a-whole average for at least two of the following characteristics:

    1. Limited English proficiency, identified as percentage of households that

    are linguistically isolated households.

    2. People of Color, identified as percentage of the population that is not non-Hispanic white; and

    3. Income, identified as percentage of population with income below 200% of the federal poverty level.

    For more information please see 'http://www.seattle.gov/dpd/codes/dr/DR2018-4.pdf'>Director’s Rule for Early Community Outreach for Design Review. Additional resources and FAQs are available on 'https://www.seattle.gov/neighborhoods/outreach-and-engagement/design-review-for-early-outreach/dr_faq_don'>DON’s Early Community Outreach webpage.

    Data Source: US Census Bureau’s 'https://www.census.gov/programs-surveys/acs/'>American Community Survey 2016 Five-Year Estimates.

    This map will be evaluated and updated every three years.
    <span style='font-size:11.0pt;line-height:107%;font-family:"Calibri",sans-serif; mso-ascii

    --- Original source retains full ownership of the source dataset ---

  11. A

    ‘Racial and Social Equity Composite Index’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 27, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Racial and Social Equity Composite Index’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-racial-and-social-equity-composite-index-fe4e/latest
    Explore at:
    Dataset updated
    Jan 27, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Racial and Social Equity Composite Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/42acb6e8-d61a-4349-a916-e072d62ceced on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    The Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents.

    Version: Current

    The Composite Index includes sub-indices of:

    Race, English Language Learners, and Origins Index
    ranks census tracts by an index of three measures weighted as follows:

    Persons of color (weight: 1.0)
    English language learner (weight: 0.5)
    Foreign born (weight: 0.5)

    Socioeconomic Disadvantage Index
    ranks census tracts by an index of two equally weighted measures:

    Income below 200% of poverty level
    grad Educational attainment less than a bachelor’s degree

    Health Disadvantage Index
    ranks census tracts by an index of seven equally weighted measures:

    No leisure-time physical activity
    Diagnosed diabetes
    Obesity
    Mental health not good
    Asthma
    Low life expectancy at birth
    Disability

    The index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.

    Produced by City of Seattle Offic

    --- Original source retains full ownership of the source dataset ---

  12. Racial and Social Equity Composite Index Current

    • hub.arcgis.com
    • data-seattlecitygis.opendata.arcgis.com
    Updated Jan 27, 2023
    + more versions
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    City of Seattle ArcGIS Online (2023). Racial and Social Equity Composite Index Current [Dataset]. https://hub.arcgis.com/maps/SeattleCityGIS::racial-and-social-equity-composite-index-current
    Explore at:
    Dataset updated
    Jan 27, 2023
    Dataset provided by
    https://arcgis.com/
    Authors
    City of Seattle ArcGIS Online
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    !!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.Version: CurrentThe Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.See the layer in action in the Racial and Social Equity ViewerClick here for an 11x17 printable pdf version of the map.The Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures:Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures:No leisure-time physical activityDiagnosed diabetes ObesityMental health not good AsthmaLow life expectancy at birthDisabilityThe index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.Sources are as indicated below.Produced by City of Seattle Office of Planning & Community Development. For more information on the indices, including guidance for use, contact Diana Canzoneri (diana.canzoneri@seattle.gov).Sources: 2017-2021 Five-Year American Community Survey Estimates, U.S. Census Bureau; 2020 Decennial Census, U.S. Census Bureau; estimates from the Centers for Disease Control’ Behavioral Risk Factor Surveillance System (BRFSS) published in the “The 500 Cities Project,”; Washington State Department of Health’s Washington Tracking Network (WTN);, and estimates from the Public Health – Seattle & King County (based on the Community Health Assessment Tool).Language is for population age 5 and older. Educational attainment is for the population age 25 and over.Life expectancy is life expectancy at birth.Other health measures based on percentages of the adult population.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2024). Percent of Population Below the Poverty Level (5-year estimate) in Pierce County, WA [Dataset]. https://fred.stlouisfed.org/series/S1701ACS053053

Percent of Population Below the Poverty Level (5-year estimate) in Pierce County, WA

S1701ACS053053

Explore at:
jsonAvailable download formats
Dataset updated
Dec 12, 2024
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
Pierce County, Washington
Description

Graph and download economic data for Percent of Population Below the Poverty Level (5-year estimate) in Pierce County, WA (S1701ACS053053) from 2012 to 2023 about Pierce County, WA; Seattle; WA; percent; poverty; 5-year; population; and USA.

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