Description: Boundaries of the project study area.
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: Parcels as described by county assessors offices, including ownership, land value, buildings/structures, and analysis results. Every parcel is tagged with all the results of the analysis layers described on the second sheet of this description table. ReGrid 2025, Trust for Public Land.
Description: Extent The ParkServe database maintains an inventory of parks for every urban area in the U.S., including Puerto Rico. This includes all incorporated and Census-designated places that lie within any of the country’s 3,000+ census-designated urban areas. This totals to over 15,000 cities, towns, or villages included in the database, which represents about 75% of the U.S. population. Parks Database Trust for Public land compiled the ParkServe database from 2016 to 2018. TPL contacted each city or town to request parks data, as well as searched for GIS parks data resources on municipal and regional open data websites. If no GIS data were available, we delineated park boundaries based on satellite imagery, and confirmed public access via city park websites or signage viewable through Google Street View. Cities and towns were given the opportunity to confirm our delineated boundaries. Today, there are about 145,000 parks in the ParkServe database. Parks data for the 100 largest cities are updated annually as part of the ParkScore Index, and parks data for all other places are updated on a monthly basis following TPL verification of public submissions via the ParkReviewer tool. How do we define a park? In order to accurately represent park access across large communities, open public access is the key criteria for inclusion in our database. We include a wide variety of parks, trails, and open space, so long as there is no barrier to entry. Examples of parks we include: Publicly-owned local, state, and national parks, trails, and open space School with a joint-use agreement with the local government. Privately-owned parks that are managed for full public use Examples of parks we don’t include: Parks in gated communities Private golf courses Private cemeteries School parks/playgrounds without active joint-use agreements Zoos, museums, professional sports stadiums For field descriptions, see https://www.tpl.org/park-data-downloads
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Description: County Commissioner district or board boundaries as of 2023 (Cook, Lake) and 2022 (Will, DuPage). Cook County GIS, Will County GIS, Lake County GIS, DuPage County GIS
Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: Incorporated places and census designated places within the Natural Solutions Tool boundary as of the 2020 US Census. Illinois State Geological Survey. Municipal Boundaries in Illinois Places - 2020.
Description: CPS Elementary School Attendance Boundaries, Middle School Attendance Boundaries, and High School Attendance Boundaries as of the 2023-24 school year. City of Chicago Data Portal
Name: CPS Middle School Attendance Boundaries (generally coterminous with elementary school)
Display Field: school_id
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: CPS Elementary School Attendance Boundaries, Middle School Attendance Boundaries, and High School Attendance Boundaries as of the 2023-24 school year. City of Chicago Data Portal
Description: CPS Elementary School Attendance Boundaries, Middle School Attendance Boundaries, and High School Attendance Boundaries as of the 2023-24 school year. City of Chicago Data Portal
Description: This layer was created based on a systematic parcel analysis of the Chicago Metropolitan Agency for Planning's land use inventory (including golf courses, cemeteries, utility right of ways, transportation corridors, detention basins, and undeveloped vacant parcels) along with areas of particular interest for habitat connectivity through collaborative partner input. A parcel's wildlife connectivity potential was additionally determined by reviewing satellite imagery and comparing it to additional habitat and open space data layers. Friends of the Chicago River Habitat Connectivity Action Plan.
Description: This feature class represents the trails element and land-based greenways for the Northeastern Illinois Regional Greenways and Trails Plan - 2016 Update, recommended by the CMAP Transportation Committee. This feature class is an integral element of the Bikeway Information System. The Bikeway Information System represents existing and planned bikeways in in the Illinois Counties of Cook, DuPage, Kane, Kendall, Lake, McHenry, and Will. It is anticipated that the 2016 Update will be integrated into ON TO 2050, the comprehensive regional plan being developed for the region. In the interim, this update is suitable for regional programming purposes.January, 2022 Status Update:The status of trails (existing, planned, future, etc), has been updated to reflect lettings through January, 2022, to reflect the December, 2021 Chicago Bike Network online map, a review of previously programmed linework, the CMAP eTIP Database and Interactive Map, and a review of nearmap.com aerials to identify regionally-planned bikeways that were built in conjunction with recent land developments.
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: CMAP, the Chicago Metropolitan Agency for Planning
Description: This feature class represents the trails element and land-based greenways for the Northeastern Illinois Regional Greenways and Trails Plan - 2016 Update, recommended by the CMAP Transportation Committee. This feature class is an integral element of the Bikeway Information System. The Bikeway Information System represents existing and planned bikeways in in the Illinois Counties of Cook, DuPage, Kane, Kendall, Lake, McHenry, and Will. It is anticipated that the 2016 Update will be integrated into ON TO 2050, the comprehensive regional plan being developed for the region. In the interim, this update is suitable for regional programming purposes.January, 2022 Status Update:The status of trails (existing, planned, future, etc), has been updated to reflect lettings through January, 2022, to reflect the December, 2021 Chicago Bike Network online map, a review of previously programmed linework, the CMAP eTIP Database and Interactive Map, and a review of nearmap.com aerials to identify regionally-planned bikeways that were built in conjunction with recent land developments.
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: CMAP, the Chicago Metropolitan Agency for Planning
Description: This feature layer is a digital representation of areas drawn on 1930s redlining maps that were georeferenced and traced by the University of Richmond Digital Scholarship Lab. This is the third and most up-to-date version of the Mapping Inequality spatial dataset, released in December 2023. Esri Living Atlas, University of Richmond
Description: This GIS dataset contains polygons depicting U.S. EPA Superfund Site boundaries. Site boundaries are polygons representing the footprint of a whole site, defined for purposes of this effort as the sum of all of the Operable Units and the current understanding of the full extent of contamination. For Federal Facility sites, the total site polygon may be the Facility boundary. As site investigation and remediation progress, OUs may be added, modified or refined, and the total site polygon should be updated accordingly. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: U.S. EPA Office of Land and Emergency Management
SF_GEOSPATIAL_DATA_DISCLAIMER
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type: esriFieldTypeString, alias: Data Disclaimer, editable: true, nullable: true, length: 2000, defaultValue: The Agency is providing this geospatial information as a public service and does not vouch for the accuracy, completeness, or currency of data. Data provided by external parties is not independently verified by EPA. This data is made available to the public strictly for informational purposes. Data does not represent EPA's official position, viewpoint, or opinion, express or implied. This information is not intended for use in establishing liability or calculating Cost Recovery Statutes of Limitations and cannot be relied upon to create any rights, substantive or procedural, enforceable by any party in litigation with the United States or third parties. EPA reserves the right to change these data at any time without public notice., modelName: SF_GEOSPATIAL_DATA_DISCLAIMER
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URL_ALIAS_TXT
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type: esriFieldTypeString, alias: Site Info URL, editable: true, nullable: true, length: 2000, defaultValue: null, modelName: URL_ALIAS_TXT
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SITE_CONTACT_EMAIL: null REGION_CODE: null EPA_PROGRAM: null EPA_ID: null SITE_NAME: null SITE_FEATURE_CLASS: 5 SITE_FEATURE_TYPE: null SITE_FEATURE_NAME: null SITE_FEATURE_DESCRIPTION: null LAST_CHANGE_DATE: null ORIGINAL_CREATION_DATE: null SITE_FEATURE_SOURCE: null FEATURE_INFO_URL: null FEATURE_INFO_URL_DESC: null PROJECTION: null GIS_AREA: null GIS_AREA_UNITS: null SF_GEOSPATIAL_DATA_DISCLAIMER: The Agency is providing this geospatial information as a public service and does not vouch for the accuracy, completeness, or currency of data. Data provided by external parties is not independently verified by EPA. This data is made available to the public strictly for informational purposes. Data does not represent EPA's official position, viewpoint, or opinion, express or implied. This information is not intended for use in establishing liability or calculating Cost Recovery Statutes of Limitations and cannot be relied upon to create any rights, substantive or procedural, enforceable by any party in litigation with the United States or third parties. EPA reserves the right to change these data at any time without public notice. URL_ALIAS_TXT: null NPL_STATUS_CODE: null FEDERAL_FACILITY_DETER_CODE: null STREET_ADDR_TXT: null ADDR_COMMENT: null CITY_NAME: null COUNTY: null STATE_CODE: null ZIP_CODE: null SITE_CONTACT_NAME: null PRIMARY_TELEPHONE_NUM: null
Description: The US EPA's Toxic Release Inventory (TRI) tracks the management of certain chemicals that may pose a threat to human health and the environment. This data set provides location data for facilities that reported to the TRI in 2020. These are generally larger facilities involved in manufacturing, metal mining, electric power generation, chemical manufacturing, and hazardous waste treatment. US EPA Toxic Release Inventory. Retrieved: September 8, 2022
Description: This local strategy map shows access to parks per 1,000 people based on geographic proximity to recreational open space. People are considered to have access to “neighborhood parks” (less than 35 acres) within half a mile of their home and “community parks” (35 acres or more) within one mile of their home. Values are reported at four levels: less than one acre, one to four acres, four to ten acres, and more than ten acres of accessible parkland per 1,000 people. Generally, the four-acre standard is considered adequate for denser communities, while the ten-acre standard is appropriate for less-dense areas.
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: Chicago Metropolitan Agency for Planning, 2021
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
)
P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
)
P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
Description: CMAP has defined Economically Disconnected and Disinvested Areas within the region. Economically Disconnected Areas (EDAs) are areas that describe population-based estimates of concentrated low-income and minority status, whereas disinvested areas outline places with long-term declines in employment and other markers of commercial market weakness. Together, these communities experience a persistent, long-term lack of market investment, leading to declining property values, taxes, employment, and, frequently, population. Disinvestment often constrains the ability of any individual community to respond effectively to these losses, and high tax rates and low market potential limit private investment. Chicago Metropolitan Agency for Planning, 2018
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: Chicago Metropolitan Agency for Planning, 2018
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
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P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
Description: Estimates of U.S. life expectancy at birth by state and census tract for the period 2010-2015. Estimates were produced for 67,148 census tracts, covering all states and the District of Columbia (D.C.). These estimates are the result of the collaborative project, “U.S. Small-area Life Expectancy Estimates Project (USALEEP),” between the National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF). National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF)
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
)
P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
)
P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
Description: Estimates of U.S. life expectancy at birth by state and census tract for the period 2010-2015. Estimates were produced for 67,148 census tracts, covering all states and the District of Columbia (D.C.). These estimates are the result of the collaborative project, “U.S. Small-area Life Expectancy Estimates Project (USALEEP),” between the National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF). National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF)
Description: Percentage of census tract's population that is not a citizen or became a citizen through naturalization. US Census Bureau. 2024 . American Community Survey 2020-2023
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
)
P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
)
P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
)
P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
Description: Representation of existing green infrastructure installations in the Calumet region of Illinois. Metropolitan Planning CouncilCalumet Stormwater Collaborative (2020)
Value: Stormwater Tree, i.e., within 20 ft. of impervious surface Label: Stormwater Tree, i.e., within 20 ft. of impervious surface Description: N/A Symbol:
ID: Underground Detention System (with Infiltration or Biofiltration element)
Name: Underground Detention System (with Infiltration or Biofiltration element)
Domains:
Templates:
Name: Underground Detention System (with Infiltration or Biofiltration element)
Description:
Prototype:
Description: This dataset is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information.This dataset consists of georeferenced digital map data and computerized attribute data. The map data are in a state-wide extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Illinois. United States Department of Agriculture, Natural Resources Conservation Service. Available online at http://datagateway.nrcs.usda.gov/. 20210831 (202110 official release).
Description: Fee owned public lands according to Protected Areas Database of the United States (PAD-US) 3.0. USGS Gap Analysis Project. Jan 31, 2022. Protected Areas Database of the United States 3.0.; City of Chicago City Owned Properties; Local Parcel Data
Name: CRTI Canopy Cover Priority Area Rank by Census Tract
Display Field: AFFGEOID
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Canopy cover estimates for census tracts.Trees in the Chicago region are not distributed evenly or equitably. The Chicago region has 23% canopy cover, far below the national average. To identify areas that have the highest need for improved tree canopy and its related benefits, CRTI combined scores for overall tree canopy percentage, temperature, flood risk, air quality and vulnerable populations by census tract. Chicago Region Trees Initiative and Morton Arboretum
Description: This file is a digital geospatial Environmental Systems Research Institute (ESRI) ArcGIS version 10.x File Geodatabase Polygon Feature Class representing land use in the seven northeastern Illinois counties (Cook, DuPage, Kane, Kendall, Lake, McHenry and Will). Land use is identified to nearly 60 categories and was created using county parcel GIS boundaries and Assessor data, along with color orthorectificed aerial photography captured in the spring of YEAR. Land uses were assigned to parcels using a combination of automated and manual techniques, using a variety of reference data sets for land use identification and validation. Parcels were then dissolved on common land uses (to the limits of PLS sections or assessor blocks); polygons were generated for “non-parcel” (water, right-of-way) areas and classified using automated processes, and have been assigned a generic code of 6000 (non-parcel). NOTES: Land use polygons are based on county parcel geometry; special care must be exercised when comparing these data to earlier (2005, 2001, 1990) Inventories, which relied on manual drafting of land use boundaries that would extend to road centerlines. Parcel geometry received from the counties is used “as-is,” meaning there was no attempt to reconcile sliver gaps or overlaps between polygons in a county’s parcel set, nor along county boundaries where parcels may overlap slightly. Values for the landuse and open space management fields are coded domains. See tables domain_LANDUSE and domain_OSMGMT for code descriptions. Full description of land use categories can be found in the accompanying Land Use Classification Scheme PDF document.
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: Chicago Metropolitan Agency for Planning staff and interns.
Description: The city of Chicago mapped zoning districts by type and classification. TPL staff created labels for zone classes by referencing the Chicago Zoning Ordinance and Land Use Ordinance at http://bit.ly/9eqawi. City of Chicago. Updated 2024. Boundaries - Zoning Districts. Retrieved January 12, 2024
Name: Diesel Particulate Matter (micro g/m3) by Census Block Group
Display Field: STATE_NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Census tracts based estimates of particulate matter 2.5 concentrations (PM2.5 levels in air, µg/m3 annual avg.) CEJST (Climate and Economic Justice Screening Tool), 2024
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
)
P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
Name: Ozone Concentrations (parts per billion) by Census Block Group
Display Field: STATE_NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Census tracts based estimates of particulate matter 2.5 concentrations (PM2.5 levels in air, µg/m3 annual avg.) CEJST (Climate and Economic Justice Screening Tool), 2024
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
)
P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
Name: Particulate Matter 2.5 Concentrations (micro g/m3) by Census Block Group
Display Field: STATE_NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Census tracts based estimates of particulate matter 2.5 concentrations (PM2.5 levels in air, µg/m3 annual avg.) CEJST (Climate and Economic Justice Screening Tool), 2024
P_LESSHSPCT
(
type: esriFieldTypeSmallInteger, alias: Less Than High School Education, editable: true, nullable: true, defaultValue: null, modelName: P_LESSHSPCT
)
P_UNDER5PCT
(
type: esriFieldTypeSmallInteger, alias: Under Age 5, editable: true, nullable: true, defaultValue: null, modelName: P_UNDER5PCT
)
P_OVER64PCT
(
type: esriFieldTypeSmallInteger, alias: Over Age 64, editable: true, nullable: true, defaultValue: null, modelName: P_OVER64PCT
)
Description: This file is a digital geospatial Environmental Systems Research Institute (ESRI) ArcGIS version 10.x File Geodatabase Polygon Feature Class representing land use in the seven northeastern Illinois counties (Cook, DuPage, Kane, Kendall, Lake, McHenry and Will). Land use is identified to nearly 60 categories and was created using county parcel GIS boundaries and Assessor data, along with color orthorectificed aerial photography captured in the spring of YEAR. Land uses were assigned to parcels using a combination of automated and manual techniques, using a variety of reference data sets for land use identification and validation. Parcels were then dissolved on common land uses (to the limits of PLS sections or assessor blocks); polygons were generated for “non-parcel” (water, right-of-way) areas and classified using automated processes, and have been assigned a generic code of 6000 (non-parcel). NOTES: Land use polygons are based on county parcel geometry; special care must be exercised when comparing these data to earlier (2005, 2001, 1990) Inventories, which relied on manual drafting of land use boundaries that would extend to road centerlines. Parcel geometry received from the counties is used “as-is,” meaning there was no attempt to reconcile sliver gaps or overlaps between polygons in a county’s parcel set, nor along county boundaries where parcels may overlap slightly. Values for the landuse and open space management fields are coded domains. See tables domain_LANDUSE and domain_OSMGMT for code descriptions. Full description of land use categories can be found in the accompanying Land Use Classification Scheme PDF document.
Service Item Id: f63fe18ed35e4e6e816445c5d3d69614
Copyright Text: Chicago Metropolitan Agency for Planning staff and interns.
Description: This data represents floodways, 100-year flood zones, and 500-year flood zones. Federal Emergency Management Agency. 2022. National Flood Hazard Layer, Version 1.1.1.0. Washington, D.C. Retrieved: July 17, 2022
Description: This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.
Description: Areas that occur within a combined sewer service areas. Chicago Metropolitan Agency for Planning with data assistance from the Metropolitan Water Reclamation District and local communities