37 datasets found
  1. Race and Ethnicity 2018-2022 - STATES

    • mce-data-uscensus.hub.arcgis.com
    • covid19-uscensus.hub.arcgis.com
    Updated Feb 5, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    US Census Bureau (2024). Race and Ethnicity 2018-2022 - STATES [Dataset]. https://mce-data-uscensus.hub.arcgis.com/maps/973245d9cd914f58a8fe87baacea1f4a
    Explore at:
    Dataset updated
    Feb 5, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

    This layer shows Race and Ethnicity. This is shown by state and county boundaries. This service contains the 2018-2022 release of data from the American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of population that are Hispanic or Latino (of any race). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B02001, B03001, DP05Data downloaded from: CensusBureau's API for American Community Survey Date of API call: January 18, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis 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 Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. 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. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

  2. Additional file 5 of Probabilistic ancestry maps: a method to assess and...

    • springernature.figshare.com
    • datasetcatalog.nlm.nih.gov
    html
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    HĂŠlĂŠna Gaspar; Gerome Breen (2023). Additional file 5 of Probabilistic ancestry maps: a method to assess and visualize population substructures in genetics [Dataset]. http://doi.org/10.6084/m9.figshare.7819106.v1
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    HĂŠlĂŠna Gaspar; Gerome Breen
    License

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

    Description

    GTM projection, test set 3: Mexican Ancestry from Los Angeles USA (MXL). Projection of individuals of Mexican ancestry from Los Angeles USA (black points) onto a GTM map trained with 10 principal components. File name: 1000G_GTM_projection_MXL.html. The file can be viewed in a web browser with internet access. (HTML 439 kb)

  3. a

    2000-2010 Change in Family Households in the United States

    • hub.arcgis.com
    Updated Jul 20, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ArcGIS Living Atlas Team (2017). 2000-2010 Change in Family Households in the United States [Dataset]. https://hub.arcgis.com/maps/a759054bb0ec4aaea1d415db21732ad8
    Explore at:
    Dataset updated
    Jul 20, 2017
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map shows the percent change in family households in the United States from 2000 to 2010. The map is available for states, counties, tracts, and block groups.The color of the features highlight an increase or decrease over time. Areas in red experienced a decrease in family households, while areas in blue experienced an increase. Areas in white had a minimal change over time.The size of the symbol represents the total amount of family households in an area. Larger circles have more family households, and smaller circles have less.The map shows this pattern for states, counties, tracts, and block groups. There is increasing geographic detail as you zoom in, and only one geography is configured to show at any time. The data source is the US Census Bureau, and the vintage is 2010. The original service and data metadata can be found here.

  4. Race/Ethnicity Group with Lowest Median Income in the U.S.

    • hub.arcgis.com
    • coronavirus-resources.esri.com
    • +2more
    Updated Oct 18, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Urban Observatory by Esri (2018). Race/Ethnicity Group with Lowest Median Income in the U.S. [Dataset]. https://hub.arcgis.com/maps/0ed46c1e58034bf583e7afc99fcd6a5c
    Explore at:
    Dataset updated
    Oct 18, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This map shows which race/ethnicity group has the lowest median income in the United States by tract, county and state, using the latest available data from the U.S. Census Bureau's American Community Survey (ACS).For each group showing a median income figure, the lowest median income determines the color used on the map. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. The map's topic is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. To see the full list of attributes available in this map's layers, go to a layer listed under the "Layers" section below and choose the "Data" tab for that layer, and choose "Fields" at the top right on that page.

  5. Additional file 3 of Probabilistic ancestry maps: a method to assess and...

    • springernature.figshare.com
    html
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    HĂŠlĂŠna Gaspar; Gerome Breen (2023). Additional file 3 of Probabilistic ancestry maps: a method to assess and visualize population substructures in genetics [Dataset]. http://doi.org/10.6084/m9.figshare.7819097.v1
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    HĂŠlĂŠna Gaspar; Gerome Breen
    License

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

    Description

    GTM projection, test set 1: Americans of African ancestry in SW USA (ASW). Projection of Americans of African ancestry in SW USA (black points) onto a GTM map trained with 10 principal components. File name: 1000G_GTM_projection_ASW.html. The file can be viewed in a web browser with internet access. (HTML 437 kb)

  6. d

    Race and Ethnicity - ACS 2018-2022 - Tempe Tracts

    • catalog.data.gov
    • performance.tempe.gov
    • +6more
    Updated Sep 20, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Tempe (2024). Race and Ethnicity - ACS 2018-2022 - Tempe Tracts [Dataset]. https://catalog.data.gov/dataset/race-and-ethnicity-acs-2018-2022-tempe-tracts
    Explore at:
    Dataset updated
    Sep 20, 2024
    Dataset provided by
    City of Tempe
    Description

    This layer shows population broken down by race and Hispanic origin. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percent of population that is Hispanic or Latino. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2018-2022ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community SurveyData Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 15, 2023National Figures: data.census.gov

  7. N

    Norwood Young America, MN Hispanic or Latino Population Distribution by...

    • neilsberg.com
    csv, json
    Updated Aug 18, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2023). Norwood Young America, MN Hispanic or Latino Population Distribution by Their Ancestries [Dataset]. https://www.neilsberg.com/research/datasets/6d7c928f-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Minnesota, Norwood Young America, United States
    Variables measured
    Hispanic or Latino population with Cuban ancestry, Hispanic or Latino population with Mexican ancestry, Hispanic or Latino population with Puerto Rican ancestry, Hispanic or Latino population with Other Hispanic or Latino ancestry, Hispanic or Latino population with Cuban ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Mexican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Puerto Rican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Other Hispanic or Latino ancestry as Percent of Total Hispanic Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Origin / Ancestry for Hispanic population and (b) respective population as a percentage of the total Hispanic population, we initially analyzed and categorized the data for each of the ancestries across the Hispanic or Latino population. It is ensured that the population estimates used in this dataset pertain exclusively to ancestries for the Hispanic or Latino population. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Norwood Young America Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Norwood Young America, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Norwood Young America.

    Key observations

    Among the Hispanic population in Norwood Young America, regardless of the race, the largest group is of Mexican origin, with a population of 216 (86.06% of the total Hispanic population).

    https://i.neilsberg.com/ch/norwood-young-america-mn-population-by-race-and-ethnicity.jpeg" alt="Norwood Young America Non-Hispanic population by race">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Origin for Hispanic or Latino population include:

    • Mexican
    • Black or African American
    • Puerto Rican
    • Cuban
    • Other Hispanic or Latino

    Variables / Data Columns

    • Origin: This column displays the origin for Hispanic or Latino population for the Norwood Young America
    • Population: The population of the specific origin for Hispanic or Latino population in the Norwood Young America is shown in this column.
    • % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Norwood Young America total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Norwood Young America Population by Race & Ethnicity. You can refer the same here

  8. Race & Ethnicity 2022 (all geographies, statewide)

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    • +4more
    Updated Mar 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Association of Regional Commissions (2024). Race & Ethnicity 2022 (all geographies, statewide) [Dataset]. https://opendata.atlantaregional.com/maps/b57e042f1c9e49c887d3bb048dd56daa
    Explore at:
    Dataset updated
    Mar 1, 2024
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    These data were developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. .
    For a deep dive into the data model including every specific metric, see the ACS 2018-2022 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e22Estimate from 2018-22 ACS_m22Margin of Error from 2018-22 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_22Change, 2010-22 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2018-2022). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2018-2022Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/3b86ee614e614199ba66a3ff1ebfe3b5/about

  9. d

    Race and Ethnicity - ACS 2015-2019 - Tempe Tracts

    • catalog.data.gov
    • open.tempe.gov
    • +8more
    Updated Sep 20, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Tempe (2024). Race and Ethnicity - ACS 2015-2019 - Tempe Tracts [Dataset]. https://catalog.data.gov/dataset/race-and-ethnicity-acs-2015-2019-tempe-tracts-3bc24
    Explore at:
    Dataset updated
    Sep 20, 2024
    Dataset provided by
    City of Tempe
    Description

    Notice: The U.S. Census Bureau is delaying the release of the 2016-2020 ACS 5-year data until March 2022. For more information, please read the Census Bureau statement regarding this matter. -----------------------------------------This layer shows population broken down by race and Hispanic origin. This layer shows Census data from Esri's Living Atlas and is clipped to only show Tempe census tracts. This layer is symbolized to show the predominant race living within an area. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). Data is from US Census American Community Survey (ACS) 5-year estimates. Vintage: 2015-2019 ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.) Data downloaded from: Census Bureau's API for American Community Survey Date of Census update: December 10, 2020 National Figures: data.census.gov Additional Census data notes and data processing notes are available at the Esri Living Atlas Layer: https://tempegov.maps.arcgis.com/home/item.html?id=23ab8028f1784de4b0810104cd5d1c8f&view=list&sortOrder=desc&sortField=defaultFSOrder#overview (Esri's Living Atlas always shows latest data)

  10. a

    Exploring Race/Ethnicity in the US using American Community Survey

    • california-smart-climate-housing-growth-usfca.hub.arcgis.com
    Updated Jul 7, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ArcGIS Living Atlas Team (2021). Exploring Race/Ethnicity in the US using American Community Survey [Dataset]. https://california-smart-climate-housing-growth-usfca.hub.arcgis.com/items/5db4c961b9ca409a8e914b3b96f2e0cc
    Explore at:
    Dataset updated
    Jul 7, 2021
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Description

    Explore various maps to learn more about the population in the US based on how people respond to the American Community Survey (ACS). Based on how people responded, we can learn more about where different race and ethnicity groups live throughout the country. The pattern for each map portrays the most current 5-year ACS estimates, and is offered for states, counties, and tracts. Zoom and explore the map to see the patterns in your area.In this collection, you'll find various different topics:The predominant race in each area (which one has the largest count)Race by dot densityPeople of color (non-white population)Percent of the population by each raceWhere is the data from?The data in this map comes from the most current American Community Survey (ACS) from the U.S. Census Bureau. Table B03002. The layer being used if updated with the most current data each year when the Census releases new estimates. The layer can be found in ArcGIS Living Atlas of the World: ACS Race and Hispanic Origin Variables - Boundaries.

  11. Predominant Race/Ethnicity in US Elementary School Districts (2020 Census)

    • arcgis-hub-uc-2025-hubclub.hub.arcgis.com
    • arcgis-hub-uc-2025-1-hubclub.hub.arcgis.com
    • +1more
    Updated Jul 11, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2023). Predominant Race/Ethnicity in US Elementary School Districts (2020 Census) [Dataset]. https://arcgis-hub-uc-2025-hubclub.hub.arcgis.com/datasets/esri::predominant-race-ethnicity-in-us-elementary-school-districts-2020-census
    Explore at:
    Dataset updated
    Jul 11, 2023
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    United States
    Description

    This app's colors indicate which race/ethnicity is largest in each area. Data is from the U.S. Census Bureau’s 2020 Census Demographic and Housing Characteristics information about race and ethnicity for Nation, School District Unified, School District Elementary, School District Secondary in the United States and Puerto Rico.This app uses this web map which you are welcome to use in your projects. See many additional web maps available in this group as well as here in ArcGIS Living Atlas for free use in your mapping and analysis use.

  12. W

    USA Current Wildfires

    • wifire-data.sdsc.edu
    • hub.arcgis.com
    • +1more
    esri rest, html
    Updated Jun 11, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CA Governor's Office of Emergency Services (2021). USA Current Wildfires [Dataset]. https://wifire-data.sdsc.edu/dataset/usa-current-wildfires
    Explore at:
    html, esri restAvailable download formats
    Dataset updated
    Jun 11, 2021
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

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

    Area covered
    United States
    Description

    This layer presents the best-known point and perimeter locations of wildfire occurrences within the United States over the past 7 days. Points mark a location within the wildfire area and provide current information about that wildfire. Perimeters are the line surrounding land that has been impacted by a wildfire.


    Source:  Wildfire points are sourced from Integrated Reporting of Wildland-Fire Information (IRWIN) and perimeters from National Interagency Fire Center (NIFC). 

    Current Incidents: This layer provides a near real-time view of the data being shared through the Integrated Reporting of Wildland-Fire Information (IRWIN) service. IRWIN provides data exchange capabilities between participating wildfire systems, including federal, state and local agencies. Data is synchronized across participating organizations to make sure the most current information is available. The display of the points are based on the NWCG Fire Size Classification applied to the daily acres attribute.

    Current Perimeters: This layer displays fire perimeters posted to the National Incident Feature Service. It is updated from operational data and may not reflect current conditions on the ground. For a better understanding of the workflows involved in mapping and sharing fire perimeter data, see the National Wildfire Coordinating Group Standards for Geospatial Operations.

    Update Frequency:  Every 15 minutes using the Aggregated Live Feed Methodology based on the following filters:
    • Events modified in the last 7 days
    • Events that are not given a Fire Out Date
    • Incident Type Kind: Fires
    • Incident Type Category: Debris/Product Fire, Fire Rehabilitation, Incident/Event Support, Preparedness/Preposition, Prescribed Fire, Wildfire, Wildland Fire Use, Incident Complex, and Out of Area Response
    Area Covered: United States

    What can I do with this layer? 
    The data includes basic wildfire information, such as location, size, environmental conditions, and resource summaries. Features can be filtered by incident name, size, or date keeping in mind that not all perimeters are fully attributed.

    The USA Wildfires web map provides additional layers and information such as Red Flag warnings, wind speed/gust, and satellite thermal detections. This map can be used as a starting point for your own map.

    Attribute Information
    This is a list of attributes that benefit from additional explanation. Not all attributes are listed.

    Incident Type Category: This is a breakdown of events into more specific categories.

    IrwinID: Unique identifier assigned to each incident record in both point and perimeter layers.

    Acres: these typically refer to the number of acres within the current perimeter of a specific, individual incident, including unburned and unburnable islands.
    • Discovery: An estimate of acres burning upon the discovery of the fire.
    • Calculated or GIS:  A measure of acres calculated (i.e., infrared) from a geospatial perimeter of a fire.
    • Daily: A measure of acres reported for a fire.
    • Final: The measure of acres within the final perimeter of a fire. More specifically, the number of acres within the final fire perimeter of a specific, individual incident, including unburned and unburnable islands.
    Dates: the various systems contribute date information differently so not all fields will be populated for every fire.
    • FireDiscovery: The date and time a fire was reported as discovered or confirmed to exist. May also be the start date for reporting purposes.
    • Containment: The date and time a wildfire was declared contained.
    • Control: The date and time a wildfire was declared under control.
    • ICS209Report: The date and time of the latest approved ICS-209 report.
    • Current: The date and time a perimeter is last known to be updated.
    • FireOut: The date and time when a fire is declared out.
    GACC: A code that identifies one of the wildland fire geographic area coordination centers. A geographic area coordination center is a facility that is used for the coordination of agency or jurisdictional resources in support of one or more incidents within a geographic coordination

  13. ArcGIS Map Packages and GIS Data for: A Geospatial Method for Estimating...

    • zenodo.org
    • data.niaid.nih.gov
    bin, zip
    Updated Jul 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Andrew Gillreath-Brown; Andrew Gillreath-Brown; Lisa Nagaoka; Lisa Nagaoka; Steve Wolverton; Steve Wolverton (2024). ArcGIS Map Packages and GIS Data for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al. (2019) [Dataset]. http://doi.org/10.5281/zenodo.2572018
    Explore at:
    bin, zipAvailable download formats
    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Andrew Gillreath-Brown; Andrew Gillreath-Brown; Lisa Nagaoka; Lisa Nagaoka; Steve Wolverton; Steve Wolverton
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    ArcGIS Map Packages and GIS Data for Gillreath-Brown, Nagaoka, and Wolverton (2019)

    **When using the GIS data included in these map packages, please cite all of the following:

    Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, 2019. PLoSONE 14(8):e0220457. http://doi.org/10.1371/journal.pone.0220457

    Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. ArcGIS Map Packages for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al., 2019. Version 1. Zenodo. https://doi.org/10.5281/zenodo.2572018

    OVERVIEW OF CONTENTS

    This repository contains map packages for Gillreath-Brown, Nagaoka, and Wolverton (2019), as well as the raw digital elevation model (DEM) and soils data, of which the analyses was based on. The map packages contain all GIS data associated with the analyses described and presented in the publication. The map packages were created in ArcGIS 10.2.2; however, the packages will work in recent versions of ArcGIS. (Note: I was able to open the packages in ArcGIS 10.6.1, when tested on February 17, 2019). The primary files contained in this repository are:

    • Raw DEM and Soils data
      • Digital Elevation Model Data (Map services and data available from U.S. Geological Survey, National Geospatial Program, and can be downloaded from the National Elevation Dataset)
        • DEM_Individual_Tiles: Individual DEM tiles prior to being merged (1/3 arc second) from USGS National Elevation Dataset.
        • DEMs_Merged: DEMs were combined into one layer. Individual watersheds (i.e., Goodman, Coffey, and Crow Canyon) were clipped from this combined DEM.
      • Soils Data (Map services and data available from Natural Resources Conservation Service Web Soil Survey, U.S. Department of Agriculture)
        • Animas-Dolores_Area_Soils: Small portion of the soil mapunits cover the northeastern corner of the Coffey Watershed (CW).
        • Cortez_Area_Soils: Soils for Montezuma County, encompasses all of Goodman (GW) and Crow Canyon (CCW) watersheds, and a large portion of the Coffey watershed (CW).
    • ArcGIS Map Packages
      • Goodman_Watershed_Full_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the full Goodman Watershed (GW).
      • Goodman_Watershed_Mesa-Only_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the mesa-only Goodman Watershed.
      • Crow_Canyon_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Crow Canyon Watershed (CCW).
      • Coffey_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Coffey Watershed (CW).

    For additional information on contents of the map packages, please see see "Map Packages Descriptions" or open a map package in ArcGIS and go to "properties" or "map document properties."

    LICENSES

    Code: MIT year: 2019
    Copyright holders: Andrew Gillreath-Brown, Lisa Nagaoka, and Steve Wolverton

    CONTACT

    Andrew Gillreath-Brown, PhD Candidate, RPA
    Department of Anthropology, Washington State University
    andrew.brown1234@gmail.com – Email
    andrewgillreathbrown.wordpress.com – Web

  14. W

    USA Flood Hazard Areas

    • wifire-data.sdsc.edu
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    csv, esri rest +4
    Updated Jul 14, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CA Governor's Office of Emergency Services (2020). USA Flood Hazard Areas [Dataset]. https://wifire-data.sdsc.edu/dataset/usa-flood-hazard-areas
    Explore at:
    geojson, esri rest, csv, zip, kml, htmlAvailable download formats
    Dataset updated
    Jul 14, 2020
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

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

    Area covered
    United States
    Description
    The Federal Emergency Management Agency (FEMA) produces Flood Insurance Rate maps and identifies Special Flood Hazard Areas as part of the National Flood Insurance Program's floodplain management. Special Flood Hazard Areas have regulations that include the mandatory purchase of flood insurance.

    Dataset Summary

    Phenomenon Mapped: Flood Hazard Areas
    Coordinate System: Web Mercator Auxiliary Sphere
    Extent: 50 United States plus Puerto Rico, the US Virgin Islands, Guam, the Northern Mariana Islands and American Samoa
    Visible Scale: The layer is limited to scales of 1:1,000,000 and larger. Use the USA Flood Hazard Areas imagery layer for smaller scales.
    Publication Date: April 1, 2019

    This layer is derived from the April 1, 2019 version of the National Flood Hazard Layer feature class S_Fld_Haz_Ar. The data were aggregated into eight classes to produce the Esri Symbology field based on symbology provided by FEMA. All other layer attributes are derived from the National Flood Hazard Layer. The layer was projected to Web Mercator Auxiliary Sphere and the resolution set to 1 meter.

    To improve performance Flood Zone values "Area Not Included", "Open Water", "D", "NP", and No Data were removed from the layer. Areas with Flood Zone value "X" subtype "Area of Minimal Flood Hazard" were also removed. An imagery layer created from this dataset provides access to the full set of records in the National Flood Hazard Layer.

    A web map featuring this layer is available for you to use.

    What can you do with this Feature Layer?

    Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.

    ArcGIS Online
    • Add this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but an imagery layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application.
    • Change the layer’s transparency and set its visibility range
    • Open the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.
    • Change the layer’s style and filter the data. For example, you could change the symbology field to Special Flood Hazard Area and set a filter for = “T” to create a map of only the special flood hazard areas.
    • Add labels and set their properties
    • Customize the pop-up
    ArcGIS Pro
    • Add this layer to a 2d or 3d map. The same scale limit as Online applies in Pro
    • Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Areas up to 1,000-2,000 features can be exported successfully.
    • Change the symbology and the attribute field used to symbolize the data
    • Open table and make interactive selections with the map
    • Modify the pop-ups
    • Apply Definition Queries to create sub-sets of the layer
    This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.
  15. f

    Mapping Longitudinal Migration Patterns from Population-Scale Family Trees

    • figshare.com
    zip
    Updated Oct 28, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Caglar Koylu (2021). Mapping Longitudinal Migration Patterns from Population-Scale Family Trees [Dataset]. http://doi.org/10.6084/m9.figshare.14601270.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Oct 28, 2021
    Dataset provided by
    figshare
    Authors
    Caglar Koylu
    License

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

    Description

    Family trees contain information on individuals such as birth and death places and years, and kinship ties, e.g., parent-child, spouse, and sibling relationships. Such information makes it possible to construct population-scale trees and study population dynamics and migration over many generations and far into the past. Despite the recent advances, existing spatial and temporal abstraction techniques for space-time flow data have limitations due to the lack of knowledge about the effects of temporal partitioning on flow patterns and their visualization. In this study, we extract state-to-state migration patterns over a period between 1789 and 1924 from a set of cleaned, geocoded and connected family trees from Rootsweb.com. We use the child ladder approach, one that captures changes in family locations by comparing birthplaces and birthyears of consecutive siblings. Our study has two major contributions. First, we introduce a methodology to reveal patterns and trends for analyzing and mapping of migration across space and time using a family tree dataset. Specifically, we evaluate a series of temporal partitioning methods to capture how changes in temporal partitioning influence the results of patterns and trends. Second, we visualize longitudinal population mobility in the US using time-series flow maps. This is one of the first studies to uncover dynamic migration patterns on a larger spatial and temporal scale, than the more typical micro studies of individual movement. Our findings are reflective of the migration patterns of European descendants in the U.S., while native Americans, Blacks, Mexican populations are not represented in the data. [KC1]

    [KC1]Need to discuss about this more in limitations, and maybe put in in the abstract and/or introduction. Since this is a methodological paper to map migration from trees, I don’t think we need to add this in the title.

  16. t

    Predominant Race and Ethnicity in North Providence, RI (Census 2020)

    • northprovidence-redistricting.timmons.com
    Updated Feb 28, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Timmons Group (2022). Predominant Race and Ethnicity in North Providence, RI (Census 2020) [Dataset]. https://northprovidence-redistricting.timmons.com/maps/f14c1f830b3e4d1c8d9f612cf9703847
    Explore at:
    Dataset updated
    Feb 28, 2022
    Dataset authored and provided by
    Timmons Group
    Area covered
    Description

    This multi-scale map shows the predominant (most numerous) race/ethnicity living within an area. Map opens at the state level, centered on the lower 48 states. Data is from U.S. Census Bureau's 2020 PL 94-171 data for state, county, tract, block group, and block.The map's colors indicate which of the eight race/ethnicity categories have the highest total count.Race and ethnicity highlights from the U.S. Census Bureau:White population remained the largest race or ethnicity group in the United States, with 204.3 million people identifying as White alone. Overall, 235.4 million people reported White alone or in combination with another group. However, the White alone population decreased by 8.6% since 2010.Two or More Races population (also referred to as the Multiracial population) has changed considerably since 2010. The Multiracial population was measured at 9 million people in 2010 and is now 33.8 million people in 2020, a 276% increase.“In combination” multiracial populations for all race groups accounted for most of the overall changes in each racial category.All of the race alone or in combination groups experienced increases. The Some Other Race alone or in combination group (49.9 million) increased 129%, surpassing the Black or African American population (46.9 million) as the second-largest race alone or in combination group.The next largest racial populations were the Asian alone or in combination group (24 million), the American Indian and Alaska Native alone or in combination group (9.7 million), and the Native Hawaiian and Other Pacific Islander alone or in combination group (1.6 million).Hispanic or Latino population, which includes people of any race, was 62.1 million in 2020. Hispanic or Latino population grew 23%, while the population that was not of Hispanic or Latino origin grew 4.3% since 2010.View more 2020 Census statistics highlights on race and ethnicity.

  17. N

    Iowa County, IA Hispanic or Latino Population Distribution by Ancestries...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2025). Iowa County, IA Hispanic or Latino Population Distribution by Ancestries Dataset : Detailed Breakdown of Hispanic or Latino Origins // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b1ff5748-ef82-11ef-9e71-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Iowa, Iowa County
    Variables measured
    Hispanic or Latino population with Cuban ancestry, Hispanic or Latino population with Mexican ancestry, Hispanic or Latino population with Puerto Rican ancestry, Hispanic or Latino population with Other Hispanic or Latino ancestry, Hispanic or Latino population with Cuban ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Mexican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Puerto Rican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Other Hispanic or Latino ancestry as Percent of Total Hispanic Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Origin / Ancestry for Hispanic population and (b) respective population as a percentage of the total Hispanic population, we initially analyzed and categorized the data for each of the ancestries across the Hispanic or Latino population. It is ensured that the population estimates used in this dataset pertain exclusively to ancestries for the Hispanic or Latino population. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Iowa County Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Iowa County, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Iowa County.

    Key observations

    Among the Hispanic population in Iowa County, regardless of the race, the largest group is of Mexican origin, with a population of 461 (83.51% of the total Hispanic population).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Origin for Hispanic or Latino population include:

    • Mexican
    • Puerto Rican
    • Cuban
    • Other Hispanic or Latino

    Variables / Data Columns

    • Origin: This column displays the origin for Hispanic or Latino population for the Iowa County
    • Population: The population of the specific origin for Hispanic or Latino population in the Iowa County is shown in this column.
    • % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Iowa County total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Iowa County Population by Race & Ethnicity. You can refer the same here

  18. N

    Jersey City, NJ Hispanic or Latino Population Distribution by Their...

    • neilsberg.com
    csv, json
    Updated Aug 18, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2023). Jersey City, NJ Hispanic or Latino Population Distribution by Their Ancestries [Dataset]. https://www.neilsberg.com/research/datasets/6d14efc1-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Jersey City, New Jersey
    Variables measured
    Hispanic or Latino population with Cuban ancestry, Hispanic or Latino population with Mexican ancestry, Hispanic or Latino population with Puerto Rican ancestry, Hispanic or Latino population with Other Hispanic or Latino ancestry, Hispanic or Latino population with Cuban ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Mexican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Puerto Rican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Other Hispanic or Latino ancestry as Percent of Total Hispanic Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Origin / Ancestry for Hispanic population and (b) respective population as a percentage of the total Hispanic population, we initially analyzed and categorized the data for each of the ancestries across the Hispanic or Latino population. It is ensured that the population estimates used in this dataset pertain exclusively to ancestries for the Hispanic or Latino population. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Jersey City Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Jersey City, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Jersey City.

    Key observations

    Among the Hispanic population in Jersey City, regardless of the race, the largest group is of other Hispanic or Latino origin, with a population of 46,544 (58.93% of the total Hispanic population).

    https://i.neilsberg.com/ch/jersey-city-nj-population-by-race-and-ethnicity.jpeg" alt="Jersey City Non-Hispanic population by race">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Origin for Hispanic or Latino population include:

    • Mexican
    • Black or African American
    • Puerto Rican
    • Cuban
    • Other Hispanic or Latino

    Variables / Data Columns

    • Origin: This column displays the origin for Hispanic or Latino population for the Jersey City
    • Population: The population of the specific origin for Hispanic or Latino population in the Jersey City is shown in this column.
    • % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Jersey City total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Jersey City Population by Race & Ethnicity. You can refer the same here

  19. Justice40 in Context: Predominant Race and Ethnicity in the US (Census 2020)...

    • atlas-connecteddmv.hub.arcgis.com
    Updated Jun 11, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2022). Justice40 in Context: Predominant Race and Ethnicity in the US (Census 2020) [Dataset]. https://atlas-connecteddmv.hub.arcgis.com/maps/8742a896f6fb414db473223dd247a809
    Explore at:
    Dataset updated
    Jun 11, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This multi-scale map shows the predominant (most numerous) race/ethnicity living within an area. Map opens at the state level, centered on the lower 48 states. Data is from U.S. Census Bureau's 2020 PL 94-171 data for state, county, tract, block group, and block.The map's colors indicate which of the eight race/ethnicity categories have the highest total count.Race and ethnicity highlights from the U.S. Census Bureau:White population remained the largest race or ethnicity group in the United States, with 204.3 million people identifying as White alone. Overall, 235.4 million people reported White alone or in combination with another group. However, the White alone population decreased by 8.6% since 2010.Two or More Races population (also referred to as the Multiracial population) has changed considerably since 2010. The Multiracial population was measured at 9 million people in 2010 and is now 33.8 million people in 2020, a 276% increase.“In combination” multiracial populations for all race groups accounted for most of the overall changes in each racial category.All of the race alone or in combination groups experienced increases. The Some Other Race alone or in combination group (49.9 million) increased 129%, surpassing the Black or African American population (46.9 million) as the second-largest race alone or in combination group.The next largest racial populations were the Asian alone or in combination group (24 million), the American Indian and Alaska Native alone or in combination group (9.7 million), and the Native Hawaiian and Other Pacific Islander alone or in combination group (1.6 million).Hispanic or Latino population, which includes people of any race, was 62.1 million in 2020. Hispanic or Latino population grew 23%, while the population that was not of Hispanic or Latino origin grew 4.3% since 2010.View more 2020 Census statistics highlights on race and ethnicity.

  20. N

    Cerro Gordo County, IA Hispanic or Latino Population Distribution by Their...

    • neilsberg.com
    csv, json
    Updated Aug 18, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2023). Cerro Gordo County, IA Hispanic or Latino Population Distribution by Their Ancestries [Dataset]. https://www.neilsberg.com/research/datasets/6c80569c-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Cerro Gordo County
    Variables measured
    Hispanic or Latino population with Cuban ancestry, Hispanic or Latino population with Mexican ancestry, Hispanic or Latino population with Puerto Rican ancestry, Hispanic or Latino population with Other Hispanic or Latino ancestry, Hispanic or Latino population with Cuban ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Mexican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Puerto Rican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Other Hispanic or Latino ancestry as Percent of Total Hispanic Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Origin / Ancestry for Hispanic population and (b) respective population as a percentage of the total Hispanic population, we initially analyzed and categorized the data for each of the ancestries across the Hispanic or Latino population. It is ensured that the population estimates used in this dataset pertain exclusively to ancestries for the Hispanic or Latino population. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Cerro Gordo County Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Cerro Gordo County, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Cerro Gordo County.

    Key observations

    Among the Hispanic population in Cerro Gordo County, regardless of the race, the largest group is of Mexican origin, with a population of 1,855 (82.23% of the total Hispanic population).

    https://i.neilsberg.com/ch/cerro-gordo-county-ia-population-by-race-and-ethnicity.jpeg" alt="Cerro Gordo County Non-Hispanic population by race">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Origin for Hispanic or Latino population include:

    • Mexican
    • Black or African American
    • Puerto Rican
    • Cuban
    • Other Hispanic or Latino

    Variables / Data Columns

    • Origin: This column displays the origin for Hispanic or Latino population for the Cerro Gordo County
    • Population: The population of the specific origin for Hispanic or Latino population in the Cerro Gordo County is shown in this column.
    • % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Cerro Gordo County total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Cerro Gordo County Population by Race & Ethnicity. You can refer the same here

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
US Census Bureau (2024). Race and Ethnicity 2018-2022 - STATES [Dataset]. https://mce-data-uscensus.hub.arcgis.com/maps/973245d9cd914f58a8fe87baacea1f4a
Organization logo

Race and Ethnicity 2018-2022 - STATES

Explore at:
Dataset updated
Feb 5, 2024
Dataset provided by
United States Census Bureauhttp://census.gov/
Authors
US Census Bureau
Area covered
Description

This layer shows Race and Ethnicity. This is shown by state and county boundaries. This service contains the 2018-2022 release of data from the American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of population that are Hispanic or Latino (of any race). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B02001, B03001, DP05Data downloaded from: CensusBureau's API for American Community Survey Date of API call: January 18, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis 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 Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. 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. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

Search
Clear search
Close search
Google apps
Main menu