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Layer: Infrastructure Overlays (1)

Sub Layers:
• Bicycling
• Destinations
• Parking
• Streets, Alleys, and Sidewalks
• Traffic
• Transit
• Zoning
Name: Infrastructure Overlays

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Layer: Bicycling (2)

Parent Layer: Infrastructure Overlays

Sub Layers:
• Bike Shop
• Divvy Bike Location
• Bike Routes
• NU Paths
• No Bikes (Ridge Ave S of Emerson)
Name: Bicycling

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Layer: Bike Shop (3)

Parent Layer: Bicycling

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Layer: Divvy Bike Location (4)

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Layer: Bike Routes (5)

Parent Layer: Bicycling

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Layer: NU Paths (6)

Parent Layer: Bicycling

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Layer: No Bikes (Ridge Ave S of Emerson) (7)

Parent Layer: Bicycling

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Layer: Destinations (8)

Parent Layer: Infrastructure Overlays

Sub Layers:
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• Landmarks
• Beach
• Park
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Layer: City Buildings (9)

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Spatial Reference: 102671  (3435)



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Layer: Landmarks (10)

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Spatial Reference: 102671  (3435)



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Layer: Park (12)

Parent Layer: Destinations

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Spatial Reference: 102671  (3435)



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Layer: Parking (13)

Parent Layer: Infrastructure Overlays

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• Street Parking
• Residential parking eligibility
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Spatial Reference: 102671  (3435)



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Layer: Parking Lot (14)

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Spatial Reference: 102671  (3435)



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Layer: Street Parking (15)

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Spatial Reference: 102671  (3435)



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Layer: Residential parking eligibility (16)

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Spatial Reference: 102671  (3435)



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Layer: Speed Hump (27)

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Layer: Traffic Circle (28)

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Layer: Chicago Transit Authority Train Lines (36)

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Spatial Reference: 102671  (3435)



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Layer: Metra Train (37)

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Layer: Pre-1960 housing units (51)

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Layer: People of color (59)

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Layer: Less than high school education (61)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>PLACES (Population Level Analysis and Community Estimates) is an expansion of the original 500 Cities project and is a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation (RWJF), and the CDC Foundation (CDCF). The original 500 Cities Project provided city- and census tract-level estimates for the 500 largest US cities. PLACES extends these estimates to all counties, places (incorporated and census designated places), census tracts, and ZIP Code Tabulation Areas (ZCTA) across the United States. This service includes 29 measures for chronic disease related health outcomes (13), prevention measures (9), health risk behaviors (4), and health status (3). Data were provided by CDC Division of Population Health, Epidemiology and Surveillance Branch. Data sources used to generate these measures include BRFSS data (2020 or 2019), Census Bureau 2010 census population data or annual population estimates for county vintage 2020 or 2019, and American Community Survey (ACS) 2015-2019 estimates.</SPAN></P><P><SPAN>The health outcomes include arthritis, current asthma, high blood pressure, cancer (excluding skin cancer), high cholesterol, chronic kidney disease, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, depression, obesity, all teeth lost, and stroke.</SPAN></P><P><SPAN>The prevention measures include lack of health insurance, visits to doctor for routine checkup, visits to dentist, taking medicine for high blood pressure control, cholesterol screening, mammography use for women, cervical cancer screening for women, colon cancer screening, and core preventive services use for older adults (men and women).</SPAN></P><P><SPAN>The health risk behaviors include binge drinking, current smoking, physical inactivity, and sleeping less than 7 hours.</SPAN></P><P><SPAN>The health status measures include mental health not good for ≥14 days, physical health not good for ≥14 days, and fair or poor health. </SPAN></P><P><SPAN>For more information, please visit https://www.cdc.gov/places or contact places@cdc.gov.</SPAN></P></DIV></DIV></DIV>

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>PLACES (Population Level Analysis and Community Estimates) is an expansion of the original 500 Cities project and is a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation (RWJF), and the CDC Foundation (CDCF). The original 500 Cities Project provided city- and census tract-level estimates for the 500 largest US cities. PLACES extends these estimates to all counties, places (incorporated and census designated places), census tracts, and ZIP Code Tabulation Areas (ZCTA) across the United States. This service includes 29 measures for chronic disease related health outcomes (13), prevention measures (9), health risk behaviors (4), and health status (3). Data were provided by CDC Division of Population Health, Epidemiology and Surveillance Branch. Data sources used to generate these measures include BRFSS data (2020 or 2019), Census Bureau 2010 census population data or annual population estimates for county vintage 2020 or 2019, and American Community Survey (ACS) 2015-2019 estimates.</SPAN></P><P><SPAN>The health outcomes include arthritis, current asthma, high blood pressure, cancer (excluding skin cancer), high cholesterol, chronic kidney disease, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, depression, obesity, all teeth lost, and stroke.</SPAN></P><P><SPAN>The prevention measures include lack of health insurance, visits to doctor for routine checkup, visits to dentist, taking medicine for high blood pressure control, cholesterol screening, mammography use for women, cervical cancer screening for women, colon cancer screening, and core preventive services use for older adults (men and women).</SPAN></P><P><SPAN>The health risk behaviors include binge drinking, current smoking, physical inactivity, and sleeping less than 7 hours.</SPAN></P><P><SPAN>The health status measures include mental health not good for ≥14 days, physical health not good for ≥14 days, and fair or poor health. </SPAN></P><P><SPAN>For more information, please visit https://www.cdc.gov/places or contact places@cdc.gov.</SPAN></P></DIV></DIV></DIV>

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>PLACES (Population Level Analysis and Community Estimates) is an expansion of the original 500 Cities project and is a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation (RWJF), and the CDC Foundation (CDCF). The original 500 Cities Project provided city- and census tract-level estimates for the 500 largest US cities. PLACES extends these estimates to all counties, places (incorporated and census designated places), census tracts, and ZIP Code Tabulation Areas (ZCTA) across the United States. This service includes 29 measures for chronic disease related health outcomes (13), prevention measures (9), health risk behaviors (4), and health status (3). Data were provided by CDC Division of Population Health, Epidemiology and Surveillance Branch. Data sources used to generate these measures include BRFSS data (2020 or 2019), Census Bureau 2010 census population data or annual population estimates for county vintage 2020 or 2019, and American Community Survey (ACS) 2015-2019 estimates.</SPAN></P><P><SPAN>The health outcomes include arthritis, current asthma, high blood pressure, cancer (excluding skin cancer), high cholesterol, chronic kidney disease, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, depression, obesity, all teeth lost, and stroke.</SPAN></P><P><SPAN>The prevention measures include lack of health insurance, visits to doctor for routine checkup, visits to dentist, taking medicine for high blood pressure control, cholesterol screening, mammography use for women, cervical cancer screening for women, colon cancer screening, and core preventive services use for older adults (men and women).</SPAN></P><P><SPAN>The health risk behaviors include binge drinking, current smoking, physical inactivity, and sleeping less than 7 hours.</SPAN></P><P><SPAN>The health status measures include mental health not good for ≥14 days, physical health not good for ≥14 days, and fair or poor health. </SPAN></P><P><SPAN>For more information, please visit https://www.cdc.gov/places or contact places@cdc.gov.</SPAN></P></DIV></DIV></DIV>

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• EBL_ET ( type: esriFieldTypeInteger, alias: EBL_ET )
• EB_ET ( type: esriFieldTypeInteger, alias: EB_ET )
• PM25_ET ( type: esriFieldTypeInteger, alias: PM25_ET )
• DS_ET ( type: esriFieldTypeInteger, alias: DS_ET )
• TP_ET ( type: esriFieldTypeInteger, alias: TP_ET )
• LPP_ET ( type: esriFieldTypeInteger, alias: LPP_ET )
• HRS_ET ( type: esriFieldTypeString, alias: HRS_ET, length: 80 )
• KP_ET ( type: esriFieldTypeInteger, alias: KP_ET )
• HB_ET ( type: esriFieldTypeInteger, alias: HB_ET )
• RMP_ET ( type: esriFieldTypeInteger, alias: RMP_ET )
• NPL_ET ( type: esriFieldTypeInteger, alias: NPL_ET )
• TSDF_ET ( type: esriFieldTypeInteger, alias: TSDF_ET )
• WD_ET ( type: esriFieldTypeInteger, alias: WD_ET )
• UST_ET ( type: esriFieldTypeInteger, alias: UST_ET )
• DB_ET ( type: esriFieldTypeInteger, alias: DB_ET )
• A_ET ( type: esriFieldTypeInteger, alias: A_ET )
• HD_ET ( type: esriFieldTypeInteger, alias: HD_ET )
• LLE_ET ( type: esriFieldTypeInteger, alias: LLE_ET )
• UN_ET ( type: esriFieldTypeInteger, alias: UN_ET )
• LISO_ET ( type: esriFieldTypeInteger, alias: LISO_ET )
• POV_ET ( type: esriFieldTypeInteger, alias: POV_ET )
• LMI_ET ( type: esriFieldTypeInteger, alias: LMI_ET )
• IA_LMI_ET ( type: esriFieldTypeInteger, alias: IA_LMI_ET )
• IA_UN_ET ( type: esriFieldTypeInteger, alias: IA_UN_ET )
• IA_POV_ET ( type: esriFieldTypeInteger, alias: IA_POV_ET )
• TC ( type: esriFieldTypeDouble, alias: TC )
• CC ( type: esriFieldTypeDouble, alias: CC )
• IAULHSE ( type: esriFieldTypeInteger, alias: IAULHSE )
• IAPLHSE ( type: esriFieldTypeInteger, alias: IAPLHSE )
• IALMILHSE ( type: esriFieldTypeInteger, alias: IALMILHSE )
• IALMIL_76 ( type: esriFieldTypeDouble, alias: IALMIL_76 )
• IAPLHS_77 ( type: esriFieldTypeDouble, alias: IAPLHS_77 )
• IAULHS_78 ( type: esriFieldTypeDouble, alias: IAULHS_78 )
• LHE ( type: esriFieldTypeInteger, alias: LHE )
• IALHE ( type: esriFieldTypeInteger, alias: IALHE )
• IAHSEF ( type: esriFieldTypeDouble, alias: IAHSEF )
• N_CLT_EOMI ( type: esriFieldTypeInteger, alias: N_CLT_EOMI )
• N_ENY_EOMI ( type: esriFieldTypeInteger, alias: N_ENY_EOMI )
• N_TRN_EOMI ( type: esriFieldTypeInteger, alias: N_TRN_EOMI )
• N_HSG_EOMI ( type: esriFieldTypeInteger, alias: N_HSG_EOMI )
• N_PLN_EOMI ( type: esriFieldTypeInteger, alias: N_PLN_EOMI )
• N_WTR_EOMI ( type: esriFieldTypeInteger, alias: N_WTR_EOMI )
• N_HLTH_88 ( type: esriFieldTypeInteger, alias: N_HLTH_88 )
• N_WKFC_89 ( type: esriFieldTypeInteger, alias: N_WKFC_89 )
• FPL200S ( type: esriFieldTypeInteger, alias: FPL200S )
• N_WKFC_91 ( type: esriFieldTypeInteger, alias: N_WKFC_91 )
• TD_ET ( type: esriFieldTypeInteger, alias: TD_ET )
• TD_PFS ( type: esriFieldTypeDouble, alias: TD_PFS )
• FLD_PFS ( type: esriFieldTypeDouble, alias: FLD_PFS )
• WFR_PFS ( type: esriFieldTypeDouble, alias: WFR_PFS )
• FLD_ET ( type: esriFieldTypeInteger, alias: FLD_ET )
• WFR_ET ( type: esriFieldTypeInteger, alias: WFR_ET )
• ADJ_ET ( type: esriFieldTypeInteger, alias: ADJ_ET )
• IS_PFS ( type: esriFieldTypeDouble, alias: IS_PFS )
• IS_ET ( type: esriFieldTypeInteger, alias: IS_ET )
• AML_ET ( type: esriFieldTypeInteger, alias: AML_ET )
• FUDS_RAW ( type: esriFieldTypeString, alias: FUDS_RAW, length: 80 )
• FUDS_ET ( type: esriFieldTypeInteger, alias: FUDS_ET )
• IMP_FLG ( type: esriFieldTypeString, alias: IMP_FLG, length: 80 )
• DM_B ( type: esriFieldTypeDouble, alias: DM_B )
• DM_AI ( type: esriFieldTypeDouble, alias: DM_AI )
• DM_A ( type: esriFieldTypeDouble, alias: DM_A )
• DM_HI ( type: esriFieldTypeDouble, alias: DM_HI )
• DM_T ( type: esriFieldTypeDouble, alias: DM_T )
• DM_W ( type: esriFieldTypeDouble, alias: DM_W )
• DM_H ( type: esriFieldTypeDouble, alias: DM_H )
• DM_O ( type: esriFieldTypeDouble, alias: DM_O )
• AGE_10 ( type: esriFieldTypeDouble, alias: AGE_10 )
• AGE_MIDDLE ( type: esriFieldTypeDouble, alias: AGE_MIDDLE )
• AGE_OLD ( type: esriFieldTypeDouble, alias: AGE_OLD )
• TA_COU_116 ( type: esriFieldTypeDouble, alias: TA_COU_116 )
• TA_COUNT_C ( type: esriFieldTypeDouble, alias: TA_COUNT_C )
• TA_PERC ( type: esriFieldTypeDouble, alias: TA_PERC )
• TA_PERC_FE ( type: esriFieldTypeDouble, alias: TA_PERC_FE )
• UI_EXP ( type: esriFieldTypeString, alias: UI_EXP, length: 80 )
• THRHLD ( type: esriFieldTypeDouble, alias: THRHLD )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• Shape.STArea() ( type: esriFieldTypeDouble, alias: Shape.STArea() )
• Shape.STLength() ( type: esriFieldTypeDouble, alias: Shape.STLength() )