This data was downloaded from soilgrids.org in October, 2021. This is the version published in May 2020 under a creative commons license.Legend and map colors in this release are the same as the soilgrids.org wrb map.The World Reference Base (WRB) is the international standard for soil classification system endorsed by the International Union of Soil Sciences.Soilgrids project:https://www.isric.org/explore/soilgridsGuide to the World Reference Base for Soil Resources:https://www.fao.org/soils-portal/data-hub/soil-classification/world-reference-base/en/Variable mapped: Most likely WRB soil group for each pixel as predicted by SoilGrids.orgData Projection: Goode's Homolosine (land) WKID 54052Mosaic Projection: Goode's Homolosine (land) WKID 54052Extent: World, except AntarcticaCell Size: 250 mSource Type: ThematicVisible Scale: All scales are visibleSource: SoilGrids.orgPublication Date: June 14, 2021Data is shared in original Goode's homolosine projection using ArcGIS Image for ArcGIS Online. As of November 14, 2023 the following map clients can handle data published in this projection:ArcGIS Online Classic Map Viewer: Strange mirror image artifacts near antimeridianArcGIS Online (new) Map Viewer: Some data dropped near antimeridianArcGIS Pro: Good

Crowdsource Reporter is a configurable group app template that can be used for submitting a variety of issues or observations in a single application. Reports can be submitted anonymously, by ArcGIS named users or Twitter users. The app can also be configured to support voting for and commenting on reports submitted by others.Use CasesCrowdsource Reporter can be configured to collect information for a wide variety of topics including:citizen service requestscommunity health and safety reportscitizen science reportsreporting damaged utility assetscollecting real estate property listingsConfigurable OptionsConfigure Crowdsource Reporter to present a group of maps with editable layers, and personalize the app by modifying the following options: Customize the splash screen with a background image, title, subtitle, and options for signing in to the appSet a theme color, icon, and app messaging that suit your organizationChoose to allow users to vote and/or comment on reportsSupported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsCrowdsource Reporter requires an ArcGIS Online group that contains at least one map with at least one editable feature layer. In addition, the following requirements must be met to expose full app functionality:To enable votes, this layer must have a numeric field for storing the number of votes on each featureTo collect comments, the feature layer must have a related tableTo allow authenticated users to track reports they have submitted, the layer must have a text field for storing a GUID associated with their accountTo allow users to submit supporting documents with the reports, the layer must support attachmentsThis web app includes the capability to edit a hosted feature service or an ArcGIS Server feature service. Creating hosted feature services requires an ArcGIS Online organizational subscription or an ArcGIS Developer account. Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a group and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.Learn MoreFor release notes and more information on configuring this app, see the Crowdsource Reporter documentation.

Feature service contains watershed ecological groups and ecological zones along with related tables containing functional wetland data and wetland mitigation restoration guidance.

ArcGIS Image Service

Mean LIS Flash Rate Density 

Time Interval: Diurnal Climatology

Platform: TRMM

Time Extent: 1998-01-01 to 2013-12-31

Projection: GCS WGS84

Extent: (38.0°, 180.0°), (-38.0°, -180.0°)

Other Formats: OGC WMS, OGC WCS, REST


      Collection
    The LIS 0.1 Degree Very High Resolution Gridded Lightning Diurnal Climatology (VHRDC) dataset consists of gridded diurnal climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust. (GHRC)

    Source Data: DAAC, CMR, Earthdata Search









Satellite Mapping and Analysis of Severe Hailstorms (SMASH) Project

This Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets.

For questions/issues please contact: kristopher.m.bedka@nasa.gov

SMASH AGOL Group | NASA Applied Sciences | NASA Disasters Mapping Portal | NASA Langley Research Center Science Directorate

The blank geodatabase has the required fields for submitting wetland determination polygons and requested map edits for the Vermont Significant Wetlands Inventory. The valid NWI codes are included in the a separate table inside the file geodatabase. Consider joining the Wetland Program's ArcGIS Online Group for submitting determination or wetlands edits. If your organization has an ArcGIS organizational account, make a request to join this group:https://www.arcgis.com/home/group.html?id=164aab9de6e44ec79aa0dfa7ee41dfcb#overviewJoin a groupTo join a group, do the following:Verify that you are signed in.Click Groups at the top of the site, and use the tabs, filters, sort options, and search as needed to find the group you want to join.Click the name of the group to open its group page.On the Overview tab, click Join this group. If necessary, click Submit Request.Depending on the group's membership settings, you will see a message indicating that you are now a member of the group or that your request has been sent to the group owner (after clicking Submit Request). If a request is sent, the owner of the group sees it on the group page and accepts or denies your request for membership. If the owner accepts your request, you are added as a member, and the group appears on your Groups page.

The Ontario GeoHub Item Report contains details on the items present in Ontario GeoHub and CarrefourGéo Ontario. The report can be filtered using the "date of last data update" to find recently updated items. See below for a list of the fields and descriptions.

Status

On going: data is being continually updated

Maintenance and Update Frequency

Daily: data is updated each day

Contact

Land Information Ontario Support, lio@ontario.ca

Data Dictionary

    dataset_id - Identifier assigned to the item by ArcGIS Hub. For items based on a feature service this is a combination of the ArcGIS Online id and the layer number of the feature layer in the associated service. Format [agol_id]_[layer number].

    item_id - ArcGIS Online identifier associated with the item

    slug - Easy-to-read identifier for the dataset used in URLs

    url_dataset_id - Complete URL to the item using the dataset_id

    url_slug - Complete URL to the item using the slug

    item_tile - Item title

    snippet - Short description of the item

    item_type - ArcGIS Hub item type

    site - The site that the item resides in. Possible values: 'Ontario GeoHub' or 'CarrefourGéo Ontario'

    metadata_lang - Language of the metadata based on mdLang tag in metadata record

    detected_lang - Language of the metadata based on detection of the title and description using Google Translate libraries

    tags - ArcGIS Online tags associated with the item

    grp_name - Name of the Open Data Group through which this item was shared to ArcGIS Hub

    grp_id - Identifier of the Open Data Group through which this item was shared to ArcGIS Hub

    grp_owner - Name of the ArcGIS Online organization that owns the Open Data Group

    dataset_id_eng - The dataset_id of the related English record in Ontario GeoHub. Only applies to records where site = 'CarrefourGéo Ontario'

    dataset_id_fre - The dataset_id of the the related French record in CarrefourGeo Ontario. Only applied to records where site = 'Ontario GeoHub'
  item_id_eng - The item_id of the related English record in Ontario GeoHub. Only applies to records where site = 'CarrefourGéo Ontario'
  item_id_fre - The item_id of the the related French record in CarrefourGeo Ontario. Only applied to records where site = 'Ontario GeoHub'

    legacy_id - Identifier of the source record in the legacy Metadata Management Tool, where applicable

    ccsn - LIO Concrete Class Short Name associated with the item, where applicable

    agol_owner - Username of the ArcGIS Online user that owns the item

    agol_org - Name of the ArcGIS Organization to which the item belongs

    publisher - Item "source" organization as displayed in Hub search results

    publisher_src - Location from which Hub pulled the value of publisher

    data_url - The data url associated with the item

    fgdb_link - Link to the LIO-generated file geodatabase download package associated with the item, where applicable

    shp_link - Link to the LIO-generated shapefile download package associated with the item, where applicable

    created_dt - Item creation date

    modified_dt - Item modified date

    dl_package_dt - Esri download creation date

    dl_lastrety_dt - Date of last attempt to generate Esri download

    data_currency_dt - Date of last data update

    data_currency_dt_src - Source from which data_currency_dt was retrieved

    metadata_present - Indicates whether an ISO-19115 NAP metadata record exists for this item

    metadata_url - Direct URL to the unformatted XML metadata for the item

AGOL Hosted Road Rehabilitation Layer

ArcGIS Image Service

    Time Interval: Seasonal Climatology


    Version: 1


    Spatial
        Resolution: 3 km


    Time Extent: 1995 to 2021 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov)


    Projection: GCS WGS84


    Extent: Regional | South America


    Other Formats: OGC WMS, OGC WCS, REST







      Collection



          This collection contains South American IR detection climatological statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 1995-2021














  Satellite Mapping and Analysis of Severe Hailstorms (SMASH) Project

This Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional
    to global scale satellite observations and provides mechanisms to explore related datasets.

For questions/issues please contact: kristopher.m.bedka@nasa.gov

SMASH AGOL
  Group
| NASA Applied Sciences 
| NASA Disasters Mapping Portal 
| NASA Langley Research Center Science Directorate

2000 Census block groups for Federal Way

THIS ITEM IS PUBLIC AND READ ONLYThe Gate and Access feature layer is a spatial inventory of exterior and interior access points that exist on U.S. Fish and Wildlife Service lands. Access points may allow or prevent the ingress and egress of public use or support grazing management or related activities. This layer reflects current access conditions and should be updated to reflect change. This is a read-only AGOL View of FWS_HQ_Tran_Gate_Access, showing records where the Record Status = "Valid", Public Viewable = "Yes", and Asset = "Other" (see FWS Gates and Cattle Guards - Public). Content can be added/edited by joining the FWS Asset Editing Group.Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.govU.S. Fish and Wildlife Service Catalog (ServCat) Record - https://ecos.fws.gov/ServCat/Reference/Profile/140664

ArcGIS Image Service

Time Interval: Monthly With Daily Timesteps

Version: 2

Spatial Resolution: 3 km

Time Extent: 2005-01-15 to 2019-12-15

Projection: GCS WGS84

Extent: Regional | South Africa

Other Formats: OGC WMS, OGC WCS, REST


      Collection
    This service provides monthly with daily timesteps gridded overshooting cloud top detection, specifically the Anvil Cloud Days/Month over South Africa.









Satellite Mapping and Analysis of Severe Hailstorms (SMASH) Project

This Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets.

For questions/issues please contact: kristopher.m.bedka@nasa.gov

SMASH AGOL Group | NASA Applied Sciences | NASA Disasters Mapping Portal | NASA Langley Research Center Science Directorate

ArcGIS Image Service

    Time Interval: Seasonal Climatology With Hourly Timesteps


    Version: 1


    Spatial
        Resolution: 3 km


    Time Extent: 2005 to 2019 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) (With 24 Hours)


    Projection: GCS WGS84


    Extent: Regional | South Africa


    Other Formats: OGC WMS, OGC WCS, REST







      Collection



          This collection contains South African IR detection climatological diurnal statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2005-2019















  Satellite Mapping and Analysis of Severe Hailstorms (SMASH) Project

This Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional
    to global scale satellite observations and provides mechanisms to explore related datasets.

For questions/issues please contact: kristopher.m.bedka@nasa.gov

SMASH AGOL
  Group
| NASA Applied Sciences 
| NASA Disasters Mapping Portal 
| NASA Langley Research Center Science Directorate

ArcGIS Image Service

    Time Interval: Seasonal Climatology


    Version: 1


    Spatial
        Resolution: 3 km


    Time Extent: 2005 to 2019 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov)


    Projection: GCS WGS84


    Extent: Regional | South Africa


    Other Formats: OGC WMS, OGC WCS, REST







      Collection



          This collection contains South African IR detection climatological statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2005-2019















  Satellite Mapping and Analysis of Severe Hailstorms (SMASH) Project

This Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional
    to global scale satellite observations and provides mechanisms to explore related datasets.

For questions/issues please contact: kristopher.m.bedka@nasa.gov

SMASH AGOL
  Group
| NASA Applied Sciences 
| NASA Disasters Mapping Portal 
| NASA Langley Research Center Science Directorate

ArcGIS Image Service

    Time Interval: Annual Climatology


    Version: 1


    Spatial
        Resolution: 3 km


    Time Extent: 1995 to 2021


    Projection: GCS WGS84


    Extent: Regional | South America


    Other Formats: OGC WMS, OGC WCS, REST







      Collection



          This collection contains South American IR detection climatological statistics averaged over: Jan-Dec Annually.















  Satellite Mapping and Analysis of Severe Hailstorms (SMASH) Project

This Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional
    to global scale satellite observations and provides mechanisms to explore related datasets.

For questions/issues please contact: kristopher.m.bedka@nasa.gov

SMASH AGOL
  Group
| NASA Applied Sciences 
| NASA Disasters Mapping Portal 
| NASA Langley Research Center Science Directorate

IntroductionIRWIN ArcGIS Online GeoPlatform Services The Integrated Reporting of Wildland-Fire Information (IRWIN) Production data is replicated every 60 seconds to the ArcGIS Online GeoPlatform organization so that read-only views can be provided for consumers. This replicated view is called the hosted datastore. The “IRWIN Data” group is a set of Feature Layer views based on the replicated IRWIN layers. These feature layers provide a near real-time feed of all valid IRWIN data. All incidents that have been shared through the integration service since May 20, 2014 are available through this service. The incident data provides the location of existing fires, size, conditions and several other attributes that help classify fires. The IRWIN Data service allows users to create a web map, share it with their organization, or pull it into ArcMap or ArcGIS Pro for more in-depth analysis.InstructionsTo allow the emergency management GIS staff to join the IRWIN Data group, they will need to set up an ArcGIS Online account through our account manager. Please send the response to Samantha Gibbes (Samantha.C.Gibbes@saic.com) and Kayloni Ahtong (kayloni_ahtong@ios.doi.gov). Use the below template and fill in each part as best as possible, where the point of contact (POC) is the person responsible for the account.Reply Email Body: The (name of application) application requests the following user account and access to the IRWIN Data group.POC Name: First name Last name and titlePOC Email: Username: <>_irwin (choose a username, something short, followed by _irwin)Business Justification: Once you are set up with the account, I will coordinate a call to go over any questions.

Tabular data for environmentally threatened communities, created from the sql VIEW combining all the layers.Contains Flood, Erosion, Permafrost rankings and groups, Total Weighted Scores, and Threat Rankings from the Threatened Communities 2019 report.Contains NFIP, Risk MAP, MLT, ANSCA status. Contains Best Practice Scores, year, and season. Contains hazard descriptions.

Maps and Apps Gallery is a configurable group app template that can be used for displaying a collection of maps, applications, documents, and layers. Gallery contents are searchable and can be filtered using item tags. Private gallery content can be accessed by signing in to the app using your ArcGIS credentials.Use Casesbuilding a common operational picture organizing a series of maps & apps for a community eventConfigurable OptionsConfigure Maps and Apps Gallery to present content from any group in your organization and personalize the app by modifying the following options: Display a custom title and logo in the application headerUse a custom color schemeChoose between grid- and list-style layoutsEnable or disable the tag cloud which can be used to filter the items displayed in the galleryChoose to open maps and layers in ArcGIS Online, or to preview them in the app's viewerSupported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsMaps and Apps Gallery will display all item types supported by ArcGIS Online and Portal, although sharing maps is preferable to sharing stand-alone layers.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a group and choose to create a web appOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.Learn MoreFor release notes and more information on configuring this app, see the Maps and Apps Gallery documentation.

This layer shows total population count by sex and age group. 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. This layer is symbolized to show the percentage of the population that are considered dependent (ages 65+ and <18). 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: 2019-2023ACS Table(s): B01001Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 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. For more information about ACS layers, visit the FAQ. 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:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.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 2023 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 RicoCensus 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 the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Crowdsource Manager is a configurable group app template that can be used for triaging crowd sourced data across multiple layers and maps as it is collected using applications such as Crowdsource Reporter or Collector. Using Crowdsource Manager, these reports can be reviewed and attributes such as assignment and status can be updated. Attachments and comments associated with each report are also accessible.Use CasesCrowdsource Manager can be configured for reviewing any crowd sourced information, including data collected through Crowdsource Reporter configurations such as these:citizen service requestshealth and safety reportscitizen science reportsdrone imagery reviewreviewing real estate property listingsConfigurable OptionsConfigure Crowdsource Manager to present a group of maps with editable layers, and personalize the app by modifying the following options: Display a custom title and logo in the application headerChoose a color schemeUse the map pop-up settings to specify which fields should be visible and which should be editableSupported DevicesThis application is responsively designed to support use in browsers on desktops and tablets..Data RequirementsCrowdsource Manager requires an ArcGIS Online group that contains at least one map with at least one editable feature layer.This web app includes the capability to edit a hosted feature service or an ArcGIS Server feature service. Creating hosted feature services requires an ArcGIS Online organizational subscription or an ArcGIS Developer account. Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a group and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.Learn MoreFor release notes and more information on configuring this app, see the Crowdsource Manager documentation.

This layer shows disability status by sex and age group. 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. This layer is symbolized to show the percentage of elderly (65+) with a disability. 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: 2019-2023ACS Table(s): B18101Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 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. For more information about ACS layers, visit the FAQ. 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:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.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 2023 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 RicoCensus 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 the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.