Layers:

Layer: Parcels (0)

Name: Parcels

Display Field: StreetName

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description:

Service Item Id: 9167ee882ae94a6e9d1a4e7f82be3d44

Copyright Text:

Default Visibility: true

MaxRecordCount: 50000

MaxSelectionCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 250000.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: false

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: -1.32408570835E7
YMin: 3989246.6653999984
XMax: -1.3096335781100001E7
YMax: 4082706.8197000027
Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



Drawing Info:
Renderer:
Simple Renderer:
Symbol:
Style: esriSFSSolid
Color: [0, 0, 0, 0]
Outline:
Style: esriSLSSolid
Color: [197, 0, 255, 255]
Width: 0
Label: N/A
Description: N/A
Transparency: 0
Labeling Info:
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false
Supports Percentile Statistics: true
Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: true
Supports Query With Current User: true


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• assessorid ( type: esriFieldTypeString, alias: assessorid, length: 254 )
• ZIPcode ( type: esriFieldTypeString, alias: ZIPcode, length: 1073741822 )
• TaxRateArea_CITY ( type: esriFieldTypeString, alias: TaxRateArea_CITY, length: 1073741822 )
• RollYear ( type: esriFieldTypeInteger, alias: RollYear )
• TaxRateArea ( type: esriFieldTypeInteger, alias: TaxRateArea )
• PropertyLocation ( type: esriFieldTypeString, alias: PropertyLocation, length: 1073741822 )
• PropertyType ( type: esriFieldTypeString, alias: PropertyType, length: 1073741822 )
• PropertyUseCode ( type: esriFieldTypeString, alias: PropertyUseCode, length: 1073741822 )
• GeneralUseType ( type: esriFieldTypeString, alias: GeneralUseType, length: 1073741822 )
• SpecificUseType ( type: esriFieldTypeString, alias: SpecificUseType, length: 1073741822 )
• SpecificUseDetail1 ( type: esriFieldTypeString, alias: SpecificUseDetail1, length: 1073741822 )
• SpecificUseDetail2 ( type: esriFieldTypeString, alias: SpecificUseDetail2, length: 1073741822 )
• totBuildingDataLines ( type: esriFieldTypeInteger, alias: totBuildingDataLines )
• YearBuilt ( type: esriFieldTypeInteger, alias: YearBuilt )
• EffectiveYearBuilt ( type: esriFieldTypeInteger, alias: EffectiveYearBuilt )
• SQFTmain ( type: esriFieldTypeInteger, alias: SQFTmain )
• Bedrooms ( type: esriFieldTypeInteger, alias: Bedrooms )
• Bathrooms ( type: esriFieldTypeInteger, alias: Bathrooms )
• Units ( type: esriFieldTypeInteger, alias: Units )
• RecordingDate ( type: esriFieldTypeInteger, alias: RecordingDate )
• LandValue ( type: esriFieldTypeDouble, alias: LandValue )
• LandBaseYear ( type: esriFieldTypeInteger, alias: LandBaseYear )
• ImprovementValue ( type: esriFieldTypeDouble, alias: ImprovementValue )
• ImpBaseYear ( type: esriFieldTypeInteger, alias: ImpBaseYear )
• TotalLandImpValue ( type: esriFieldTypeDouble, alias: TotalLandImpValue )
• HomeownersExemption ( type: esriFieldTypeDouble, alias: HomeownersExemption )
• RealEstateExemption ( type: esriFieldTypeDouble, alias: RealEstateExemption )
• FixtureValue ( type: esriFieldTypeDouble, alias: FixtureValue )
• FixtureExemption ( type: esriFieldTypeDouble, alias: FixtureExemption )
• PersonalPropertyValue ( type: esriFieldTypeDouble, alias: PersonalPropertyValue )
• PersonalPropertyExemption ( type: esriFieldTypeDouble, alias: PersonalPropertyExemption )
• isTaxableParcel_ ( type: esriFieldTypeString, alias: isTaxableParcel_, length: 1073741822 )
• TotalValue ( type: esriFieldTypeDouble, alias: TotalValue )
• TotalExemption ( type: esriFieldTypeDouble, alias: TotalExemption )
• netTaxableValue ( type: esriFieldTypeDouble, alias: netTaxableValue )
• SpecialParcelClassification ( type: esriFieldTypeString, alias: SpecialParcelClassification, length: 1073741822 )
• AdministrativeRegion ( type: esriFieldTypeString, alias: AdministrativeRegion, length: 1073741822 )
• Cluster ( type: esriFieldTypeInteger, alias: Cluster )
• ParcelBoundaryDescription ( type: esriFieldTypeString, alias: ParcelBoundaryDescription, length: 1073741822 )
• HouseNo ( type: esriFieldTypeInteger, alias: HouseNo )
• HouseFraction ( type: esriFieldTypeString, alias: HouseFraction, length: 1073741822 )
• StreetDirection ( type: esriFieldTypeString, alias: StreetDirection, length: 1073741822 )
• StreetName ( type: esriFieldTypeString, alias: StreetName, length: 1073741822 )
• UnitNo ( type: esriFieldTypeString, alias: UnitNo, length: 1073741822 )
• City ( type: esriFieldTypeString, alias: City, length: 1073741822 )
• ZIPcode5 ( type: esriFieldTypeInteger, alias: ZIPcode5 )
• CENTER_LAT ( type: esriFieldTypeDouble, alias: CENTER_LAT )
• CENTER_LON ( type: esriFieldTypeDouble, alias: CENTER_LON )
• AIN_Text ( type: esriFieldTypeString, alias: AIN_Text, length: 20 )
• SupervisorialDistrict ( type: esriFieldTypeString, alias: SupervisorialDistrict, length: 1 )
• AssemblyDistrict ( type: esriFieldTypeString, alias: DISTRICT, length: 12 )
• SenateDistrict ( type: esriFieldTypeString, alias: DISTRICT, length: 12 )
• Neighborhood ( type: esriFieldTypeString, alias: NAME, length: 102 )
• HealthDistrict ( type: esriFieldTypeString, alias: HD_NAME, length: 30 )
• HealthServicePlanning ( type: esriFieldTypeSmallInteger, alias: SPA_2012 )
• LACityCouncil ( type: esriFieldTypeString, alias: DISTRICT, length: 25 )
• DPRPlanningArea ( type: esriFieldTypeString, alias: STUD_AR_NM, length: 150 )
• cityCounty ( type: esriFieldTypeString, alias: CITY_LABEL, length: 21 )
• PubliclyOwned ( type: esriFieldTypeString, alias: PubliclyOwned, length: 50 )
• LACityOwned ( type: esriFieldTypeString, alias: LACityOwned, length: 50 )
• NEAR_FID ( type: esriFieldTypeInteger, alias: NEAR_FID )
• LAFCD_dist_ft ( type: esriFieldTypeDouble, alias: LAFCD_dist_ft )
• Vacant ( type: esriFieldTypeString, alias: Vacant, length: 50 )
• ZoningCategory ( type: esriFieldTypeString, alias: ZoningCategory, length: 200 )
• SUM_Parkinglot_sqft ( type: esriFieldTypeDouble, alias: SUM_Parkinglot_sqft )
• LARiverRev_dist_ft ( type: esriFieldTypeDouble, alias: LARiverRev_dist_ft )
• fault_dist_ft ( type: esriFieldTypeDouble, alias: fault_dist_ft )
• liquefaction ( type: esriFieldTypeString, alias: liquefaction, length: 255 )
• meancanopy ( type: esriFieldTypeDouble, alias: meancanopy )
• meanImpervious ( type: esriFieldTypeDouble, alias: meanImpervious )
• meanslope ( type: esriFieldTypeDouble, alias: meanslope )
• Parks_dist_ft ( type: esriFieldTypeDouble, alias: Parks_dist_ft )
• ParkServe_FinalRe ( type: esriFieldTypeInteger, alias: ParkServe_FinalRe )
• ParkServeNeed ( type: esriFieldTypeString, alias: ParkServeNeed, length: 255 )
• T_MINORPCT ( type: esriFieldTypeString, alias: T_MINORPCT, length: 20 )
• T_LWINCPCT ( type: esriFieldTypeString, alias: T_LWINCPCT, length: 20 )
• T_LESHSPCT ( type: esriFieldTypeString, alias: T_LESHSPCT, length: 20 )
• T_LNGISPCT ( type: esriFieldTypeString, alias: T_LNGISPCT, length: 20 )
• T_UNDR5PCT ( type: esriFieldTypeString, alias: T_UNDR5PCT, length: 20 )
• T_OVR64PCT ( type: esriFieldTypeString, alias: T_OVR64PCT, length: 20 )
• T_VULEOPCT ( type: esriFieldTypeString, alias: T_VULEOPCT, length: 20 )
• T_LDPNT ( type: esriFieldTypeString, alias: T_LDPNT, length: 70 )
• T_DSLPM ( type: esriFieldTypeString, alias: T_DSLPM, length: 70 )
• T_CANCR ( type: esriFieldTypeString, alias: T_CANCR, length: 70 )
• T_RESP ( type: esriFieldTypeString, alias: T_RESP, length: 70 )
• T_PTRAF ( type: esriFieldTypeString, alias: T_PTRAF, length: 70 )
• T_PWDIS ( type: esriFieldTypeString, alias: T_PWDIS, length: 70 )
• T_PNPL ( type: esriFieldTypeString, alias: T_PNPL, length: 70 )
• T_PRMP ( type: esriFieldTypeString, alias: T_PRMP, length: 70 )
• T_PTSDF ( type: esriFieldTypeString, alias: T_PTSDF, length: 70 )
• T_OZONE ( type: esriFieldTypeString, alias: T_OZONE, length: 70 )
• T_PM25 ( type: esriFieldTypeString, alias: T_PM25, length: 70 )
• CIscoreP ( type: esriFieldTypeInteger, alias: CIscoreP )
• Ozone_Pctl ( type: esriFieldTypeInteger, alias: Ozone_Pctl )
• PM_2_5_Pctl ( type: esriFieldTypeInteger, alias: PM_2_5_Pctl )
• Diesel_PM_Pctl ( type: esriFieldTypeInteger, alias: Diesel_PM_Pctl )
• DrinkingWater_Pctl ( type: esriFieldTypeInteger, alias: DrinkingWater_Pctl )
• Pesticides_Pctl ( type: esriFieldTypeInteger, alias: Pesticides_Pctl )
• Tox_Releases_Pctl ( type: esriFieldTypeInteger, alias: Tox_Releases_Pctl )
• Traffic_Pctl ( type: esriFieldTypeInteger, alias: Traffic_Pctl )
• Cleanups_Pctl ( type: esriFieldTypeInteger, alias: Cleanups_Pctl )
• GroundWater_Threats_Pctl ( type: esriFieldTypeInteger, alias: GroundWater_Threats_Pctl )
• Haz_Waste_Pctl ( type: esriFieldTypeInteger, alias: Haz_Waste_Pctl )
• Imp__Water_Bodies_Pctl ( type: esriFieldTypeInteger, alias: Imp__Water_Bodies_Pctl )
• Solid_Waste_Pctl ( type: esriFieldTypeInteger, alias: Solid_Waste_Pctl )
• Pollution_Burden_Pctl ( type: esriFieldTypeInteger, alias: Pollution_Burden_Pctl )
• Asthma_Pctl ( type: esriFieldTypeInteger, alias: Asthma_Pctl )
• Low_Birth_Weight_Pctl ( type: esriFieldTypeInteger, alias: Low_Birth_Weight_Pctl )
• Cardiovascular_Pctl ( type: esriFieldTypeInteger, alias: Cardiovascular_Pctl )
• Education_Pctl ( type: esriFieldTypeInteger, alias: Education_Pctl )
• Linguistic_Isolation_Pctl ( type: esriFieldTypeInteger, alias: Linguistic_Isolation_Pctl )
• Poverty_Pctl ( type: esriFieldTypeInteger, alias: Poverty_Pctl )
• Unemployment_Pctl ( type: esriFieldTypeInteger, alias: Unemployment_Pctl )
• Housing_Burden_Pctl ( type: esriFieldTypeInteger, alias: Housing_Burden_Pctl )
• Pop__Characteristics_Pctl ( type: esriFieldTypeInteger, alias: Pop__Characteristics_Pctl )
• Tract_ID ( type: esriFieldTypeString, alias: Tract_ID, length: 11 )
• Ozone ( type: esriFieldTypeDouble, alias: Ozone )
• PM2_5 ( type: esriFieldTypeDouble, alias: PM2_5 )
• Diesel_PM ( type: esriFieldTypeDouble, alias: Diesel_PM )
• DrinkingWater ( type: esriFieldTypeDouble, alias: DrinkingWater )
• Pesticides ( type: esriFieldTypeDouble, alias: Pesticides )
• Tox_Releases ( type: esriFieldTypeDouble, alias: Tox_Releases )
• Traffic ( type: esriFieldTypeDouble, alias: Traffic )
• Cleanups ( type: esriFieldTypeDouble, alias: Cleanups )
• GroundwaterThreats ( type: esriFieldTypeDouble, alias: GroundwaterThreats )
• Haz_Waste ( type: esriFieldTypeDouble, alias: Haz_Waste )
• Imp__Water_Bodies ( type: esriFieldTypeInteger, alias: Imp__Water_Bodies )
• Solid_Waste ( type: esriFieldTypeDouble, alias: Solid_Waste )
• PollutionScore ( type: esriFieldTypeDouble, alias: PollutionScore )
• Asthma ( type: esriFieldTypeDouble, alias: Asthma )
• Low_Birth_Weight ( type: esriFieldTypeDouble, alias: Low_Birth_Weight )
• Cardiovascular ( type: esriFieldTypeDouble, alias: Cardiovascular )
• Education ( type: esriFieldTypeDouble, alias: Education )
• Linguistic_Isolation ( type: esriFieldTypeDouble, alias: Linguistic_Isolation )
• Poverty ( type: esriFieldTypeDouble, alias: Poverty )
• Unemployment ( type: esriFieldTypeDouble, alias: Unemployment )
• Housing_Burden ( type: esriFieldTypeDouble, alias: Housing_Burden )
• PopCharScore ( type: esriFieldTypeDouble, alias: PopCharScore )
• CES_Ozone ( type: esriFieldTypeString, alias: CES_Ozone, length: 250 )
• CES_PM2_5 ( type: esriFieldTypeString, alias: CES_PM2_5, length: 250 )
• CES_Diesel_PM ( type: esriFieldTypeString, alias: CES_Diesel_PM, length: 250 )
• CES_DrinkingWater ( type: esriFieldTypeString, alias: CES_DrinkingWater, length: 250 )
• CES_Pesticide ( type: esriFieldTypeString, alias: CES_Pesticide, length: 250 )
• CESToxicRls ( type: esriFieldTypeString, alias: CESToxicRls, length: 250 )
• CES_Traffic ( type: esriFieldTypeString, alias: CES_Traffic, length: 250 )
• CES_Cleanups ( type: esriFieldTypeString, alias: CES_Cleanups, length: 250 )
• CES_GWThreat ( type: esriFieldTypeString, alias: CES_GWThreat, length: 250 )
• CES_HazWaste ( type: esriFieldTypeString, alias: CES_HazWaste, length: 250 )
• CES_ImpWater ( type: esriFieldTypeString, alias: CES_ImpWater, length: 250 )
• CES_SolidWaste ( type: esriFieldTypeString, alias: CES_SolidWaste, length: 250 )
• CES_PollutionScore ( type: esriFieldTypeString, alias: CES_PollutionScore, length: 250 )
• CES_Asthma ( type: esriFieldTypeString, alias: CES_Asthma, length: 250 )
• CES_LowBirth ( type: esriFieldTypeString, alias: CES_LowBirth, length: 250 )
• CES_Cardio ( type: esriFieldTypeString, alias: CES_Cardio, length: 250 )
• CES_Education ( type: esriFieldTypeString, alias: CES_Education, length: 250 )
• CES_LingIso ( type: esriFieldTypeString, alias: CES_LingIso, length: 250 )
• CES_Poverty ( type: esriFieldTypeString, alias: CES_Poverty, length: 250 )
• CES_Unemployment ( type: esriFieldTypeString, alias: CES_Unemployment, length: 250 )
• CES_HousingBurden ( type: esriFieldTypeString, alias: CES_HousingBurden, length: 250 )
• CES_Popchar ( type: esriFieldTypeString, alias: CES_Popchar, length: 250 )
• AcresPer1K ( type: esriFieldTypeDouble, alias: AcresPer1K )
• MEDHINC_CY ( type: esriFieldTypeInteger, alias: MEDHINC_CY )
• DAC ( type: esriFieldTypeString, alias: DAC, length: 255 )
• MHHINCLT60 ( type: esriFieldTypeString, alias: MHHINCLT60, length: 50 )
• FIRST_MajorBusHalfmile ( type: esriFieldTypeString, alias: FIRST_MajorBusHalfmile, length: 255 )
• Disttobus_ft ( type: esriFieldTypeDouble, alias: Disttobus_ft )
• HQTC2012 ( type: esriFieldTypeString, alias: HQTC2012, length: 255 )
• HQTC2040 ( type: esriFieldTypeString, alias: HQTC2040, length: 255 )
• grocery_dist_ft ( type: esriFieldTypeDouble, alias: grocery_dist_ft )
• Garden_dist_ft ( type: esriFieldTypeDouble, alias: Garden_dist_ft )
• AllSchools_dist_ft ( type: esriFieldTypeDouble, alias: AllSchools_dist_ft )
• Top50SRTSSchools_dist_ft ( type: esriFieldTypeDouble, alias: Top50SRTSSchools_dist_ft )
• AREA_SUITA ( type: esriFieldTypeInteger, alias: AREA_SUITA )
• MeanLST ( type: esriFieldTypeDouble, alias: MeanLST )
• MeanDO95 ( type: esriFieldTypeDouble, alias: MeanDO95 )
• MeanAugMaxTemp ( type: esriFieldTypeDouble, alias: MeanAugMaxTemp )
• brownfield_dist_ft ( type: esriFieldTypeDouble, alias: brownfield_dist_ft )
• inlet_dist_ft ( type: esriFieldTypeDouble, alias: inlet_dist_ft )
• openchan_dist_ft ( type: esriFieldTypeDouble, alias: openchan_dist_ft )
• naturaldrainage_dist_ft ( type: esriFieldTypeDouble, alias: naturaldrainage_dist_ft )
• HighInfilSoil ( type: esriFieldTypeString, alias: HighInfilSoil, length: 255 )
• FEMA_100 ( type: esriFieldTypeString, alias: FEMA_100, length: 255 )
• FEMA_500 ( type: esriFieldTypeString, alias: FEMA_500, length: 255 )
• year_ ( type: esriFieldTypeString, alias: year_, length: 4 )
• HVWAZone ( type: esriFieldTypeString, alias: HVWAZone, length: 255 )
• CosMos_0slr ( type: esriFieldTypeString, alias: CosMos_0slr, length: 255 )
• CosMos_25slr ( type: esriFieldTypeString, alias: CosMos_25slr, length: 255 )
• CosMos_50slr ( type: esriFieldTypeString, alias: CosMos_50slr, length: 255 )
• CosMos_75slr ( type: esriFieldTypeString, alias: CosMos_75slr, length: 255 )
• CosMos_100slr ( type: esriFieldTypeString, alias: CosMos_100slr, length: 255 )
• CosMos_125slr ( type: esriFieldTypeString, alias: CosMos_125slr, length: 255 )
• CosMos_150slr ( type: esriFieldTypeString, alias: CosMos_150slr, length: 255 )
• CosMos_175slr ( type: esriFieldTypeString, alias: CosMos_175slr, length: 255 )
• CosMos_200slr ( type: esriFieldTypeString, alias: CosMos_200slr, length: 255 )
• CosMos_500slr ( type: esriFieldTypeString, alias: CosMos_500slr, length: 255 )
• TPLMI ( type: esriFieldTypeString, alias: TPLMI, length: 50 )
• TOTALACRES ( type: esriFieldTypeDouble, alias: TOTALACRES )
• TOTALACRES_1 ( type: esriFieldTypeDouble, alias: TOTALACRES_1 )
• CL01 ( type: esriFieldTypeDouble, alias: CL01 )
• P_CL01 ( type: esriFieldTypeDouble, alias: P_CL01 )
• B_CL01 ( type: esriFieldTypeString, alias: B_CL01, length: 4 )
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• P_CL02 ( type: esriFieldTypeDouble, alias: P_CL02 )
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• CL03 ( type: esriFieldTypeDouble, alias: CL03 )
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• CE10 ( type: esriFieldTypeDouble, alias: CE10 )
• P_CE10 ( type: esriFieldTypeDouble, alias: P_CE10 )
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• CEall ( type: esriFieldTypeDouble, alias: CEall )
• P_CEall ( type: esriFieldTypeDouble, alias: P_CEall )
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• GIall ( type: esriFieldTypeDouble, alias: GIall )
• P_GIall ( type: esriFieldTypeDouble, alias: P_GIall )
• B_GIall ( type: esriFieldTypeString, alias: B_GIall, length: 4 )
• CALFIRE_Unit ( type: esriFieldTypeString, alias: CALFIRE_Unit, length: 50 )
• Ownership ( type: esriFieldTypeString, alias: Ownership, length: 150 )
• Vegetation ( type: esriFieldTypeString, alias: Vegetation, length: 40 )
• Fire_Threat_Min ( type: esriFieldTypeInteger, alias: Fire_Threat_Min )
• Fire_Threat_Max ( type: esriFieldTypeInteger, alias: Fire_Threat_Max )
• Fire_Threat_Mean ( type: esriFieldTypeDouble, alias: Fire_Threat_Mean )
• Fire_Threat_Maj ( type: esriFieldTypeInteger, alias: Fire_Threat_Maj )
• Fire_Name_Year ( type: esriFieldTypeString, alias: Fire_Name_Year, length: 500 )
• WUI_YN ( type: esriFieldTypeString, alias: WUI_YN, length: 50 )
• Comm_At_Risk ( type: esriFieldTypeString, alias: Comm_At_Risk, length: 50 )
• SpeciesBio_Rank_Low ( type: esriFieldTypeDouble, alias: SpeciesBio_Rank_Low )
• SpeciesBio_Rank_High ( type: esriFieldTypeDouble, alias: SpeciesBio_Rank_High )
• SpeciesBio_Rank_Mean ( type: esriFieldTypeDouble, alias: SpeciesBio_Rank_Mean )
• SpeciesBio_Rank_Maj ( type: esriFieldTypeDouble, alias: SpeciesBio_Rank_Maj )
• Connect_Rank_Low ( type: esriFieldTypeDouble, alias: Connect_Rank_Low )
• Connect_Rank_High ( type: esriFieldTypeDouble, alias: Connect_Rank_High )
• Connect_Rank_Mean ( type: esriFieldTypeDouble, alias: Connect_Rank_Mean )
• Connect_Rank_Maj ( type: esriFieldTypeDouble, alias: Connect_Rank_Maj )
• ClimResilience_Rank_Low ( type: esriFieldTypeDouble, alias: ClimResilience_Rank_Low )
• ClimResilience_Rank_High ( type: esriFieldTypeDouble, alias: ClimResilience_Rank_High )
• ClimResilience_Rank_Mean ( type: esriFieldTypeDouble, alias: ClimResilience_Rank_Mean )
• ClimResilience_Rank_Maj ( type: esriFieldTypeDouble, alias: ClimResilience_Rank_Maj )
• Owner_2015 ( type: esriFieldTypeString, alias: Owner_2015, length: 50 )
• TC_ID ( type: esriFieldTypeInteger, alias: TC_ID )
• TC_ExistingArea ( type: esriFieldTypeDouble, alias: TC_ExistingArea )
• TC_PossibleVegArea ( type: esriFieldTypeDouble, alias: TC_PossibleVegArea )
• TC_LandArea ( type: esriFieldTypeDouble, alias: TC_LandArea )
• TC_PossibleImpvArea ( type: esriFieldTypeDouble, alias: TC_PossibleImpvArea )
• TC_PossibleArea ( type: esriFieldTypeDouble, alias: TC_PossibleArea )
• TC_ExistingPct ( type: esriFieldTypeDouble, alias: TC_ExistingPct )
• TC_PossibleVegPct ( type: esriFieldTypeDouble, alias: TC_PossibleVegPct )
• TC_PossiblePct ( type: esriFieldTypeDouble, alias: TC_PossiblePct )
• TC_PossibleImpvPct ( type: esriFieldTypeDouble, alias: TC_PossibleImpvPct )
• Fire_Year ( type: esriFieldTypeInteger, alias: Fire_Year )
• Fire_Year_first ( type: esriFieldTypeInteger, alias: Fire_Year_first )
• CALFIRE_REG ( type: esriFieldTypeString, alias: CALFIRE_REG, length: 150 )
• FireCnt ( type: esriFieldTypeSmallInteger, alias: FireCnt )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• Shape.STArea() ( type: esriFieldTypeDouble, alias: Shape.STArea() )
• Shape.STLength() ( type: esriFieldTypeDouble, alias: Shape.STLength() )

Layer: Modeled ROW (1)

Name: Modeled ROW

Display Field: FIRST_FullName

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset can be used for two purposes:1. Geocoding addresses in LA County – this file currently geocodes > 99.5% of the addresses in our test files (5,000 out of 8 million addresses) using the County’s geocoding engines.This last statement is important– the County splits the street names and addresses differently than most geocoders. This means that you cannot just use this dataset with the standard ESRI geocoding (US Streets) engine. You can standardize the data to resolve this, and we will be publishing the related geocoding rules and engines along with instructions on how to use them, in the near future. Please review the data fields to understand this information.2. Mapping street centerlines in LA County – note that the street types in this file are not fully updated yet. Use with caution.This file should NOT be used for:Routing and network analysisJurisdiction and pavement managementFor more information, click here to see the Data Portal Entry

Service Item Id: 9167ee882ae94a6e9d1a4e7f82be3d44

Copyright Text: CAMS

Default Visibility: false

MaxRecordCount: 50000

MaxSelectionCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: false

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: -1.3240915504700001E7
YMin: 3989363.5106282695
XMax: -1.3096687502934953E7
YMax: 4082519.585966222
Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



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Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false
Supports Percentile Statistics: true
Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: false
Supports Query With Current User: true


HasZ: false

HasM: false

Has Attachments: false

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Type ID Field: null

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• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• TPLDissolve ( type: esriFieldTypeString, alias: TPLDissolve, length: 100 )
• FIRST_FullName ( type: esriFieldTypeString, alias: FullName, length: 255 )
• FIRST_Type ( type: esriFieldTypeString, alias: Type, length: 40 )
• FIRST_Surface ( type: esriFieldTypeString, alias: Surface, length: 15 )
• FIRST_Status ( type: esriFieldTypeString, alias: Status, length: 25 )
• FIRST_SPEED ( type: esriFieldTypeInteger, alias: SPEED )
• FIRST_Block ( type: esriFieldTypeInteger, alias: Block )
• FIRST_ROWLabel ( type: esriFieldTypeString, alias: ROWLabel, length: 255 )
• Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
• Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )
• TPLUnique ( type: esriFieldTypeString, alias: TPLUnique, length: 50 )
• SupervisorialDistrict ( type: esriFieldTypeString, alias: SupervisorialDistrict, length: 1 )
• AssemblyDistrict ( type: esriFieldTypeString, alias: AssemblyDistrict, length: 12 )
• SenateDistrict ( type: esriFieldTypeString, alias: SenateDistrict, length: 12 )
• Neighborhood ( type: esriFieldTypeString, alias: Neighborhood, length: 102 )
• HealthDistrict ( type: esriFieldTypeString, alias: HealthDistrict, length: 30 )
• LACityCouncil ( type: esriFieldTypeString, alias: LACityCouncil, length: 25 )
• DPRPlanningArea ( type: esriFieldTypeString, alias: DPRPlanningArea, length: 150 )
• cityCounty ( type: esriFieldTypeString, alias: cityCounty, length: 21 )
• NEAR_FID ( type: esriFieldTypeInteger, alias: NEAR_FID )
• LAFCD_dist_ft ( type: esriFieldTypeDouble, alias: LAFCD_dist_ft )
• LARiverRev_dist_ft ( type: esriFieldTypeDouble, alias: LARiverRev_dist_ft )
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• meanimpervious ( type: esriFieldTypeInteger, alias: meanimpervious )
• Parks_dist_ft ( type: esriFieldTypeDouble, alias: Parks_dist_ft )
• ParkServe_FinalRe ( type: esriFieldTypeInteger, alias: ParkServe_FinalRe )
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• T_OZONE ( type: esriFieldTypeString, alias: T_OZONE, length: 70 )
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• CIscore ( type: esriFieldTypeDouble, alias: CIscore )
• CIscoreP ( type: esriFieldTypeInteger, alias: CIscoreP )
• Ozone ( type: esriFieldTypeDouble, alias: Ozone )
• Ozone_Pctl ( type: esriFieldTypeInteger, alias: Ozone_Pctl )
• PM2_5 ( type: esriFieldTypeDouble, alias: PM2_5 )
• PM_2_5_Pctl ( type: esriFieldTypeInteger, alias: PM_2_5_Pctl )
• Diesel_PM ( type: esriFieldTypeDouble, alias: Diesel_PM )
• Diesel_PM_Pctl ( type: esriFieldTypeInteger, alias: Diesel_PM_Pctl )
• DrinkingWater ( type: esriFieldTypeDouble, alias: DrinkingWater )
• DrinkingWater_Pctl ( type: esriFieldTypeInteger, alias: DrinkingWater_Pctl )
• Pesticides ( type: esriFieldTypeDouble, alias: Pesticides )
• Pesticides_Pctl ( type: esriFieldTypeInteger, alias: Pesticides_Pctl )
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• Tox_Releases_Pctl ( type: esriFieldTypeInteger, alias: Tox_Releases_Pctl )
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• GroundwaterThreats ( type: esriFieldTypeDouble, alias: GroundwaterThreats )
• GroundWater_Threats_Pctl ( type: esriFieldTypeInteger, alias: GroundWater_Threats_Pctl )
• Haz_Waste ( type: esriFieldTypeDouble, alias: Haz_Waste )
• Haz_Waste_Pctl ( type: esriFieldTypeInteger, alias: Haz_Waste_Pctl )
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• Imp__Water_Bodies_Pctl ( type: esriFieldTypeInteger, alias: Imp__Water_Bodies_Pctl )
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• Solid_Waste_Pctl ( type: esriFieldTypeInteger, alias: Solid_Waste_Pctl )
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• Asthma ( type: esriFieldTypeDouble, alias: Asthma )
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• Cardiovascular ( type: esriFieldTypeDouble, alias: Cardiovascular )
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• Education ( type: esriFieldTypeDouble, alias: Education )
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• Linguistic_Isolation ( type: esriFieldTypeDouble, alias: Linguistic_Isolation )
• Linguistic_Isolation_Pctl ( type: esriFieldTypeInteger, alias: Linguistic_Isolation_Pctl )
• Poverty ( type: esriFieldTypeDouble, alias: Poverty )
• Poverty_Pctl ( type: esriFieldTypeInteger, alias: Poverty_Pctl )
• Unemployment ( type: esriFieldTypeDouble, alias: Unemployment )
• Unemployment_Pctl ( type: esriFieldTypeInteger, alias: Unemployment_Pctl )
• Housing_Burden ( type: esriFieldTypeDouble, alias: Housing_Burden )
• Housing_Burden_Pctl ( type: esriFieldTypeInteger, alias: Housing_Burden_Pctl )
• PopCharScore ( type: esriFieldTypeDouble, alias: PopCharScore )
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• CES_PM2_5 ( type: esriFieldTypeString, alias: CES_PM2_5, length: 255 )
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• CES_DrinkingWater ( type: esriFieldTypeString, alias: CES_DrinkingWater, length: 255 )
• CES_Pesticide ( type: esriFieldTypeString, alias: CES_Pesticide, length: 255 )
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• CES_Cleanups ( type: esriFieldTypeString, alias: CES_Cleanups, length: 255 )
• CES_GWThreat ( type: esriFieldTypeString, alias: CES_GWThreat, length: 255 )
• CES_HazWaste ( type: esriFieldTypeString, alias: CES_HazWaste, length: 255 )
• CES_ImpWater ( type: esriFieldTypeString, alias: CES_ImpWater, length: 255 )
• CES_SolidWaste ( type: esriFieldTypeString, alias: CES_SolidWaste, length: 255 )
• CES_PollutionScore ( type: esriFieldTypeString, alias: CES_PollutionScore, length: 255 )
• CES_Asthma ( type: esriFieldTypeString, alias: CES_Asthma, length: 255 )
• CES_LowBirth ( type: esriFieldTypeString, alias: CES_LowBirth, length: 255 )
• CES_Cardio ( type: esriFieldTypeString, alias: CES_Cardio, length: 255 )
• CES_Education ( type: esriFieldTypeString, alias: CES_Education, length: 255 )
• CES_LingIso ( type: esriFieldTypeString, alias: CES_LingIso, length: 255 )
• CES_Poverty ( type: esriFieldTypeString, alias: CES_Poverty, length: 255 )
• CES_Unemployment ( type: esriFieldTypeString, alias: CES_Unemployment, length: 255 )
• CES_HousingBurden ( type: esriFieldTypeString, alias: CES_HousingBurden, length: 255 )
• CES_Popchar ( type: esriFieldTypeString, alias: CES_Popchar, length: 255 )
• AcresPer1K ( type: esriFieldTypeDouble, alias: AcresPer1K )
• MEDHINC_CY ( type: esriFieldTypeInteger, alias: MEDHINC_CY )
• DAC ( type: esriFieldTypeString, alias: DAC, length: 255 )
• FIRST_MajorBusHalfmile ( type: esriFieldTypeString, alias: FIRST_MajorBusHalfmile, length: 255 )
• Disttobus_ft ( type: esriFieldTypeDouble, alias: Disttobus_ft )
• HQTC2012 ( type: esriFieldTypeString, alias: HQTC2012, length: 255 )
• HQTC2040 ( type: esriFieldTypeString, alias: HQTC2040, length: 255 )
• MeanLST ( type: esriFieldTypeDouble, alias: MeanLST )
• MeanDO95 ( type: esriFieldTypeInteger, alias: MeanDO95 )
• MeanAugMaxTemp ( type: esriFieldTypeInteger, alias: MeanAugMaxTemp )
• brownfield_dist_ft ( type: esriFieldTypeDouble, alias: brownfield_dist_ft )
• inlet_dist_ft ( type: esriFieldTypeDouble, alias: inlet_dist_ft )
• openchan_dist_ft ( type: esriFieldTypeDouble, alias: openchan_dist_ft )
• naturaldrainage_dist_ft ( type: esriFieldTypeDouble, alias: naturaldrainage_dist_ft )
• HighInfilSoil ( type: esriFieldTypeString, alias: HighInfilSoil, length: 255 )
• FEMA_100 ( type: esriFieldTypeString, alias: FEMA_100, length: 255 )
• FEMA_500 ( type: esriFieldTypeString, alias: FEMA_500, length: 255 )
• year_ ( type: esriFieldTypeString, alias: year_, length: 4 )
• HVWAZone ( type: esriFieldTypeString, alias: HVWAZone, length: 255 )
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• CosMos_75slr ( type: esriFieldTypeString, alias: CosMos_75slr, length: 255 )
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Layer: Overlay (3)

Sub Layers:
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• GI and Project Suitability
• TPL ParkServe Park Need Results
• Estimated Heat Exposure of LA Metro Bus Stops
• Equity
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• Unicorporated County Boundaries
• Senate Districts
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• Supervisorial District Boundaries
• LA City Council District
• LA Neighborhood Council Boundaries
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Layer: City Boundaries (5)

Parent Layer: Administrative Boundaries

Name: City Boundaries

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Description: This layer represents current city boundaries within Los Angeles County. The Los Angeles County Department of Public Works provides the most current shapefiles representing city boundariesand city annexationson the Los Angeles County GIS Data Portal. True, legal boundaries are only determined on the ground by surveyors licensed in the State of California. Numerous records are freely available at the Land Records Informaitonwebsite, hosted by the Department of Public Works.Principal attributes include:CITY_NAME: represents the city's name.CITY_TYPE: may be used for definition queries; "Unincorporated" or "City".FEAT_TYPE: identifies the feature that each polygon represents:Land - This value is used for polygons representing the land masses, if you want to see only land features on your map.Pier - This value is used for polygons representing piers along the coastline. One example is the Santa Monica Pier.Breakwater - This value is used for polygons representing man-made barriers that protect the harbors.Water - This value is used for polygons representing navigable waters inside the harbors and marinas.3NM Buffer - This value is used for polygons representing the three seaward nautical miles within the cities' limits, per the Submerged Lands Act.POPULATION: Information in this field is supplied by Mark Greninger (mgreninger@cio.lacounty.gov).Reference Date: 2013

Service Item Id: 9167ee882ae94a6e9d1a4e7f82be3d44

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Layer: Unicorporated County Boundaries (6)

Parent Layer: Administrative Boundaries

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Description: This layer represents current city boundaries within Los Angeles County. The Los Angeles County Department of Public Works provides the most current shapefiles representing city boundariesand city annexationson the Los Angeles County GIS Data Portal. True, legal boundaries are only determined on the ground by surveyors licensed in the State of California. Numerous records are freely available at the Land Records Informaitonwebsite, hosted by the Department of Public Works.Principal attributes include:CITY_NAME: represents the city's name.CITY_TYPE: may be used for definition queries; "Unincorporated" or "City".FEAT_TYPE: identifies the feature that each polygon represents:Land - This value is used for polygons representing the land masses, if you want to see only land features on your map.Pier - This value is used for polygons representing piers along the coastline. One example is the Santa Monica Pier.Breakwater - This value is used for polygons representing man-made barriers that protect the harbors.Water - This value is used for polygons representing navigable waters inside the harbors and marinas.3NM Buffer - This value is used for polygons representing the three seaward nautical miles within the cities' limits, per the Submerged Lands Act.POPULATION: Information in this field is supplied by Mark Greninger (mgreninger@cio.lacounty.gov).Reference Date: 2013

Service Item Id: 9167ee882ae94a6e9d1a4e7f82be3d44

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Layer: State Assembly Districts (8)

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Layer: Supervisorial District Boundaries (9)

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Layer: LA Neighborhood Council Boundaries (11)

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Description: This dataset provides the boundaries of LA City Neighborhood Councils.Neighborhood Councils are city-certified local groups made up of people who live, work, own property or have some other connection to a neighborhood. Neighborhood Council Board Members are elected or selected to their positions by the neighborhoods themselves.Neighborhood Council Board size various across the City from 7 to over 30 individuals depending on what the neighborhood believes will meet its needs. They hold regular meetings – at least one every three months. Many Councils hold meetings more often and have working committees as well.Neighborhood Councils receive public funds of $37,000 each year to support their activities. This may include creating events and programs that respond to the unique needs of their community or advocating on behalf of the issues they care about such as crime, roads and streets, the creation of safe spaces for children, gangs, and economic development. To learn more about Neighborhood Council success stories, click here.For more information see: http://empowerla.org/about-neighborhood-councils/

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Layer: DPR Park Need Planning Boundaries (12)

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Description: The Provisional Health District Layer contains Department of Public Health Health Districts as of 2011, which are aggregates of 2010 Census Tracts. Furthermore, Health Districts comprise the building blocks of Los Angeles County Service Planning Areas (SPAs). The Provisional Health Districts were created by the Los Angeles County Department of Public Health for planning purposes and are subject to change.

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Layer: LA City Owned Property (15)

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Description: The Los Angeles County Office of Sustainability funded the development of this dataset in order to support the identification of potential locations for the installation of solar photovoltaic canopy modules across the County on commerical, industrial, and government properties. This dataset contains the boundaries of parking lots 5,000 square feet or greater.Pictometry International Corp used the 2014 LARIAC orthogonal imagery to delineate the boundaries of these parking lots. A parking lot was defined as a paved area for parking, incluse of internal median areas. The data did NOT include:rootop parking lots, non-paved parking lots, sidewalks and curbs, school playgrounds, structures that were within the parking lotLandscaping at the edges of parking lotsParcel informationOnce the boundaries were received, LA County intersected the parking lots with the December 2014 LA County Assessor Parcel file in order to add parcel ID and parcel use information. This will enable parking lot square footage to be reported for an individual parcel, as well as by the parcel type.

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• TOTHU_CY ( type: esriFieldTypeInteger, alias: 2017 Total Housing Units )
• OWNER_CY ( type: esriFieldTypeInteger, alias: 2017 Owner Occupied HUs )
• RENTER_CY ( type: esriFieldTypeInteger, alias: 2017 Renter Occupied HUs )
• VACANT_CY ( type: esriFieldTypeInteger, alias: 2017 Vacant Housing Units )
• POPGRW10CY ( type: esriFieldTypeDouble, alias: 2010-2017 Growth Rate: Population )
• HHGRW10CY ( type: esriFieldTypeDouble, alias: 2010-2017 Growth Rate: Households )
• FAMGRW10CY ( type: esriFieldTypeDouble, alias: 2010-2017 Growth Rate: Families )
• POP0_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 0-4 )
• POP5_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 5-9 )
• POP10_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 10-14 )
• POP15_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 15-19 )
• POP20_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 20-24 )
• POP25_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 25-29 )
• POP30_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 30-34 )
• POP35_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 35-39 )
• POP40_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 40-44 )
• POP45_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 45-49 )
• POP50_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 50-54 )
• POP55_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 55-59 )
• POP60_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 60-64 )
• POP65_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 65-69 )
• POP70_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 70-74 )
• POP75_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 75-79 )
• POP80_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 80-84 )
• POP85_CY ( type: esriFieldTypeInteger, alias: 2017 Population Age 85+ )
• MALES_CY ( type: esriFieldTypeInteger, alias: 2017 Male Population )
• MEDMAGE_CY ( type: esriFieldTypeDouble, alias: 2017 Median Male Age )
• FEMALES_CY ( type: esriFieldTypeInteger, alias: 2017 Female Population )
• MEDFAGE_CY ( type: esriFieldTypeDouble, alias: 2017 Median Female Age )
• WHITE_CY ( type: esriFieldTypeInteger, alias: 2017 White Population )
• BLACK_CY ( type: esriFieldTypeInteger, alias: 2017 Black Population )
• AMERIND_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Population )
• ASIAN_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Population )
• PACIFIC_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Population )
• OTHRACE_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Population )
• RACE2UP_CY ( type: esriFieldTypeInteger, alias: 2017 Population of Two or More Races )
• HISPPOP_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population )
• HINC0_CY ( type: esriFieldTypeInteger, alias: 2017 HH Income <$15000 )
• HINC15_CY ( type: esriFieldTypeInteger, alias: 2017 HH Income $15000-24999 )
• HINC25_CY ( type: esriFieldTypeInteger, alias: 2017 HH Income $25000-34999 )
• HINC35_CY ( type: esriFieldTypeInteger, alias: 2017 HH Income $35000-49999 )
• HINC50_CY ( type: esriFieldTypeInteger, alias: 2017 HH Income $50000-74999 )
• HINC75_CY ( type: esriFieldTypeInteger, alias: 2017 HH Income $75000-99999 )
• HINC100_CY ( type: esriFieldTypeInteger, alias: 2017 HH Income $100000-149999 )
• HINC150_CY ( type: esriFieldTypeInteger, alias: 2017 HH Income $150000-199999 )
• HINC200_CY ( type: esriFieldTypeInteger, alias: 2017 HH Income $200000+ )
• MEDHINC_CY ( type: esriFieldTypeInteger, alias: 2017 Median Household Income )
• AVGHINC_CY ( type: esriFieldTypeInteger, alias: 2017 Average Household Income )
• WHT0_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 0-4 )
• WHT5_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 5-9 )
• WHT10_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 10-14 )
• WHT15_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 15-19 )
• WHT20_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 20-24 )
• WHT25_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 25-29 )
• WHT30_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 30-34 )
• WHT35_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 35-39 )
• WHT40_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 40-44 )
• WHT45_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 45-49 )
• WHT50_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 50-54 )
• WHT55_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 55-59 )
• WHT60_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 60-64 )
• WHT65_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 65-69 )
• WHT70_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 70-74 )
• WHT75_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 75-79 )
• WHT80_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 80-84 )
• WHT85_CY ( type: esriFieldTypeInteger, alias: 2017 White Pop Age 85+ )
• BLK0_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 0-4 )
• BLK5_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 5-9 )
• BLK10_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 10-14 )
• BLK15_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 15-19 )
• BLK20_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 20-24 )
• BLK25_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 25-29 )
• BLK30_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 30-34 )
• BLK35_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 35-39 )
• BLK40_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 40-44 )
• BLK45_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 45-49 )
• BLK50_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 50-54 )
• BLK55_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 55-59 )
• BLK60_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 60-64 )
• BLK65_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 65-69 )
• BLK70_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 70-74 )
• BLK75_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 75-79 )
• BLK80_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 80-84 )
• BLK85_CY ( type: esriFieldTypeInteger, alias: 2017 Black Pop Age 85+ )
• AI0_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 0-4 )
• AI5_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 5-9 )
• AI10_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 10-14 )
• AI15_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 15-19 )
• AI20_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 20-24 )
• AI25_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 25-29 )
• AI30_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 30-34 )
• AI35_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 35-39 )
• AI40_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 40-44 )
• AI45_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 45-49 )
• AI50_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 50-54 )
• AI55_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 55-59 )
• AI60_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 60-64 )
• AI65_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 65-69 )
• AI70_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 70-74 )
• AI75_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 75-79 )
• AI80_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 80-84 )
• AI85_CY ( type: esriFieldTypeInteger, alias: 2017 American Indian Pop Age 85+ )
• ASN0_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 0-4 )
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• ASN20_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 20-24 )
• ASN25_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 25-29 )
• ASN30_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 30-34 )
• ASN35_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 35-39 )
• ASN40_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 40-44 )
• ASN45_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 45-49 )
• ASN50_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 50-54 )
• ASN55_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 55-59 )
• ASN60_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 60-64 )
• ASN65_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 65-69 )
• ASN70_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 70-74 )
• ASN75_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 75-79 )
• ASN80_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 80-84 )
• ASN85_CY ( type: esriFieldTypeInteger, alias: 2017 Asian Pop Age 85+ )
• PI0_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 0-4 )
• PI5_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 5-9 )
• PI10_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 10-14 )
• PI15_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 15-19 )
• PI20_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 20-24 )
• PI25_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 25-29 )
• PI30_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 30-34 )
• PI35_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 35-39 )
• PI40_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 40-44 )
• PI45_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 45-49 )
• PI50_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 50-54 )
• PI55_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 55-59 )
• PI60_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 60-64 )
• PI65_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 65-69 )
• PI70_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 70-74 )
• PI75_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 75-79 )
• PI80_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 80-84 )
• PI85_CY ( type: esriFieldTypeInteger, alias: 2017 Pacific Islander Pop Age 85+ )
• OTH0_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 0-4 )
• OTH5_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 5-9 )
• OTH10_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 10-14 )
• OTH15_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 15-19 )
• OTH20_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 20-24 )
• OTH25_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 25-29 )
• OTH30_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 30-34 )
• OTH35_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 35-39 )
• OTH40_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 40-44 )
• OTH45_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 45-49 )
• OTH50_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 50-54 )
• OTH55_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 55-59 )
• OTH60_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 60-64 )
• OTH65_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 65-69 )
• OTH70_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 70-74 )
• OTH75_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 75-79 )
• OTH80_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 80-84 )
• OTH85_CY ( type: esriFieldTypeInteger, alias: 2017 Other Race Pop Age 85+ )
• MLT0_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 0-4 )
• MLT5_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 5-9 )
• MLT10_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 10-14 )
• MLT15_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 15-19 )
• MLT20_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 20-24 )
• MLT25_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 25-29 )
• MLT30_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 30-34 )
• MLT35_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 35-39 )
• MLT40_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 40-44 )
• MLT45_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 45-49 )
• MLT50_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 50-54 )
• MLT55_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 55-59 )
• MLT60_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 60-64 )
• MLT65_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 65-69 )
• MLT70_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 70-74 )
• MLT75_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 75-79 )
• MLT80_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 80-84 )
• MLT85_CY ( type: esriFieldTypeInteger, alias: 2017 Multiple Races Pop Age 85+ )
• HSP0_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 0-4 )
• HSP5_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 5-9 )
• HSP10_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 10-14 )
• HSP15_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 15-19 )
• HSP20_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 20-24 )
• HSP25_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 25-29 )
• HSP30_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 30-34 )
• HSP35_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 35-39 )
• HSP40_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 40-44 )
• HSP45_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 45-49 )
• HSP50_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 50-54 )
• HSP55_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 55-59 )
• HSP60_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 60-64 )
• HSP65_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 65-69 )
• HSP70_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 70-74 )
• HSP75_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 75-79 )
• HSP80_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 80-84 )
• HSP85_CY ( type: esriFieldTypeInteger, alias: 2017 Hispanic Population Age 85+ )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
• Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )

Layer: EPA EJ Screen (2017) (36)

Parent Layer: Equity

Name: EPA EJ Screen (2017)

Display Field: STATE_NAME

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Type ID Field: null

Fields:
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• ID ( type: esriFieldTypeString, alias: ID, length: 12 )
• STATE_NAME ( type: esriFieldTypeString, alias: STATE_NAME, length: 20 )
• ST_ABBREV ( type: esriFieldTypeString, alias: ST_ABBREV, length: 2 )
• Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
• Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• ACSTOTPOP ( type: esriFieldTypeInteger, alias: ACSTOTPOP )
• ACSIPOVBAS ( type: esriFieldTypeInteger, alias: ACSIPOVBAS )
• ACSEDUCBAS ( type: esriFieldTypeInteger, alias: ACSEDUCBAS )
• ACSTOTHH ( type: esriFieldTypeInteger, alias: ACSTOTHH )
• ACSTOTHU ( type: esriFieldTypeInteger, alias: ACSTOTHU )
• MINORPOP ( type: esriFieldTypeInteger, alias: MINORPOP )
• MINORPCT ( type: esriFieldTypeDouble, alias: MINORPCT )
• LOWINCOME ( type: esriFieldTypeInteger, alias: LOWINCOME )
• LOWINCPCT ( type: esriFieldTypeDouble, alias: LOWINCPCT )
• LESSHS ( type: esriFieldTypeInteger, alias: LESSHS )
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• LINGISO ( type: esriFieldTypeInteger, alias: LINGISO )
• LINGISOPCT ( type: esriFieldTypeDouble, alias: LINGISOPCT )
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• OVER64 ( type: esriFieldTypeInteger, alias: OVER64 )
• OVER64PCT ( type: esriFieldTypeDouble, alias: OVER64PCT )
• PRE1960 ( type: esriFieldTypeInteger, alias: PRE1960 )
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• D_DSLPM_2 ( type: esriFieldTypeDouble, alias: D_DSLPM_2 )
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• D_PTRAF_2 ( type: esriFieldTypeDouble, alias: D_PTRAF_2 )
• D_PWDIS_2 ( type: esriFieldTypeDouble, alias: D_PWDIS_2 )
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Layer: California Legislative Initiatives (AB31, Prop1, Prop68 and SB535) (38)

Parent Layer: Equity

Sub Layers:
• Acres of Park per 1k Residents (AB31, Prop68)
• Disadvantaged Communities (AB31, Prop1, Prop68, SB535)
• Median HH Income <60% statewide average (Prop68)
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Layer: Acres of Park per 1k Residents (AB31, Prop68) (39)

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Layer: Disadvantaged Communities (AB31, Prop1, Prop68, SB535) (40)

Parent Layer: California Legislative Initiatives (AB31, Prop1, Prop68 and SB535)

Name: Disadvantaged Communities (AB31, Prop1, Prop68, SB535)

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Layer: Metro Local Lines not through Downtown (Lines 102 to 292 (59)

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Layer: Major Transportation Stops (0.5 mi. buffer) (68)

Parent Layer: Southern California Association of Governments (SCAG)

Name: Major Transportation Stops (0.5 mi. buffer)

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Layer: Groceries and Pharmacies (69)

Parent Layer: Connect

Name: Groceries and Pharmacies

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Layer: Food Deserts (70)

Parent Layer: Connect

Name: Food Deserts

Display Field: Name

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: The California Protected Areas Database (CPAD) contains data on lands owned in fee by governments, non-profits and some private entities that are protected for open space purposes. Data includes all such areas in California, from small urban parks to large national parks and forests, mostly aligned to assessor parcel boundaries. Data is collected by Holdings (parcels) which are aggregated to Units (commonly named areas within a county) and Super Units (commonly named areas generally).

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Copyright Text: California Protected Areas Database (CPAD - www.calands.org).

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• EJScre_182 ( type: esriFieldTypeDouble, alias: EJScre_182 )
• EJScre_183 ( type: esriFieldTypeDouble, alias: EJScre_183 )
• EJScre_184 ( type: esriFieldTypeDouble, alias: EJScre_184 )
• EJScre_185 ( type: esriFieldTypeDouble, alias: EJScre_185 )
• EJScre_186 ( type: esriFieldTypeDouble, alias: EJScre_186 )
• EJScre_187 ( type: esriFieldTypeDouble, alias: EJScre_187 )
• EJScre_188 ( type: esriFieldTypeDouble, alias: EJScre_188 )
• EJScre_189 ( type: esriFieldTypeDouble, alias: EJScre_189 )
• EJScre_190 ( type: esriFieldTypeDouble, alias: EJScre_190 )
• EJScre_191 ( type: esriFieldTypeDouble, alias: EJScre_191 )
• EJScre_192 ( type: esriFieldTypeDouble, alias: EJScre_192 )
• EJScre_193 ( type: esriFieldTypeDouble, alias: EJScre_193 )
• EJScre_194 ( type: esriFieldTypeDouble, alias: EJScre_194 )
• EJScre_195 ( type: esriFieldTypeDouble, alias: EJScre_195 )
• EJScre_196 ( type: esriFieldTypeDouble, alias: EJScre_196 )
• EJScre_197 ( type: esriFieldTypeDouble, alias: EJScre_197 )
• EJScre_198 ( type: esriFieldTypeDouble, alias: EJScre_198 )
• EJScre_199 ( type: esriFieldTypeDouble, alias: EJScre_199 )
• EJScre_200 ( type: esriFieldTypeDouble, alias: EJScre_200 )
• EJScre_201 ( type: esriFieldTypeDouble, alias: EJScre_201 )
• EJScre_202 ( type: esriFieldTypeDouble, alias: EJScre_202 )
• EJScre_203 ( type: esriFieldTypeDouble, alias: EJScre_203 )
• EJScre_204 ( type: esriFieldTypeDouble, alias: EJScre_204 )
• EJScre_205 ( type: esriFieldTypeDouble, alias: EJScre_205 )
• EJScre_206 ( type: esriFieldTypeDouble, alias: EJScre_206 )
• EJScre_207 ( type: esriFieldTypeDouble, alias: EJScre_207 )
• EJScre_208 ( type: esriFieldTypeDouble, alias: EJScre_208 )
• EJScre_209 ( type: esriFieldTypeDouble, alias: EJScre_209 )
• EJScre_210 ( type: esriFieldTypeDouble, alias: EJScre_210 )
• EJScre_211 ( type: esriFieldTypeDouble, alias: EJScre_211 )
• EJScre_212 ( type: esriFieldTypeDouble, alias: EJScre_212 )
• EJScre_213 ( type: esriFieldTypeDouble, alias: EJScre_213 )
• EJScre_214 ( type: esriFieldTypeDouble, alias: EJScre_214 )
• EJScre_215 ( type: esriFieldTypeDouble, alias: EJScre_215 )
• EJScre_216 ( type: esriFieldTypeDouble, alias: EJScre_216 )
• EJScre_217 ( type: esriFieldTypeDouble, alias: EJScre_217 )
• EJScre_218 ( type: esriFieldTypeDouble, alias: EJScre_218 )
• EJScre_219 ( type: esriFieldTypeDouble, alias: EJScre_219 )
• EJScre_220 ( type: esriFieldTypeDouble, alias: EJScre_220 )
• EJScre_221 ( type: esriFieldTypeDouble, alias: EJScre_221 )
• EJScre_222 ( type: esriFieldTypeDouble, alias: EJScre_222 )
• EJScre_223 ( type: esriFieldTypeDouble, alias: EJScre_223 )
• EJScre_224 ( type: esriFieldTypeDouble, alias: EJScre_224 )
• EJScre_225 ( type: esriFieldTypeDouble, alias: EJScre_225 )
• EJScre_226 ( type: esriFieldTypeDouble, alias: EJScre_226 )
• EJScre_227 ( type: esriFieldTypeDouble, alias: EJScre_227 )
• EJScre_228 ( type: esriFieldTypeDouble, alias: EJScre_228 )
• EJScre_229 ( type: esriFieldTypeDouble, alias: EJScre_229 )
• EJScre_230 ( type: esriFieldTypeDouble, alias: EJScre_230 )
• EJScre_231 ( type: esriFieldTypeDouble, alias: EJScre_231 )
• EJScre_232 ( type: esriFieldTypeDouble, alias: EJScre_232 )
• EJScre_233 ( type: esriFieldTypeDouble, alias: EJScre_233 )
• EJScre_234 ( type: esriFieldTypeDouble, alias: EJScre_234 )
• EJScre_235 ( type: esriFieldTypeDouble, alias: EJScre_235 )
• EJScre_236 ( type: esriFieldTypeDouble, alias: EJScre_236 )
• EJScre_237 ( type: esriFieldTypeDouble, alias: EJScre_237 )
• EJScre_238 ( type: esriFieldTypeDouble, alias: EJScre_238 )
• EJScre_239 ( type: esriFieldTypeDouble, alias: EJScre_239 )
• EJScre_240 ( type: esriFieldTypeDouble, alias: EJScre_240 )
• EJScre_241 ( type: esriFieldTypeDouble, alias: EJScre_241 )
• EJScre_242 ( type: esriFieldTypeDouble, alias: EJScre_242 )
• EJScre_243 ( type: esriFieldTypeDouble, alias: EJScre_243 )
• EJScre_244 ( type: esriFieldTypeDouble, alias: EJScre_244 )
• EJScre_245 ( type: esriFieldTypeDouble, alias: EJScre_245 )
• EJScre_246 ( type: esriFieldTypeDouble, alias: EJScre_246 )
• EJScre_247 ( type: esriFieldTypeDouble, alias: EJScre_247 )
• EJScre_248 ( type: esriFieldTypeDouble, alias: EJScre_248 )
• EJScre_249 ( type: esriFieldTypeDouble, alias: EJScre_249 )
• EJScre_250 ( type: esriFieldTypeDouble, alias: EJScre_250 )
• EJScre_251 ( type: esriFieldTypeDouble, alias: EJScre_251 )
• EJScre_252 ( type: esriFieldTypeDouble, alias: EJScre_252 )
• EJScre_253 ( type: esriFieldTypeDouble, alias: EJScre_253 )
• EJScre_254 ( type: esriFieldTypeDouble, alias: EJScre_254 )
• EJScre_255 ( type: esriFieldTypeDouble, alias: EJScre_255 )
• EJScre_256 ( type: esriFieldTypeDouble, alias: EJScre_256 )
• EJScre_257 ( type: esriFieldTypeDouble, alias: EJScre_257 )
• EJScre_258 ( type: esriFieldTypeDouble, alias: EJScre_258 )
• EJScre_259 ( type: esriFieldTypeDouble, alias: EJScre_259 )
• EJScre_260 ( type: esriFieldTypeDouble, alias: EJScre_260 )
• EJScre_261 ( type: esriFieldTypeDouble, alias: EJScre_261 )
• EJScre_262 ( type: esriFieldTypeDouble, alias: EJScre_262 )
• EJScre_263 ( type: esriFieldTypeDouble, alias: EJScre_263 )
• EJScre_264 ( type: esriFieldTypeDouble, alias: EJScre_264 )
• EJScre_265 ( type: esriFieldTypeDouble, alias: EJScre_265 )
• EJScre_266 ( type: esriFieldTypeDouble, alias: EJScre_266 )
• EJScre_267 ( type: esriFieldTypeDouble, alias: EJScre_267 )
• EJScre_268 ( type: esriFieldTypeDouble, alias: EJScre_268 )
• EJScre_269 ( type: esriFieldTypeDouble, alias: EJScre_269 )
• EJScre_270 ( type: esriFieldTypeDouble, alias: EJScre_270 )
• EJScre_271 ( type: esriFieldTypeDouble, alias: EJScre_271 )
• EJScre_272 ( type: esriFieldTypeDouble, alias: EJScre_272 )
• EJScre_273 ( type: esriFieldTypeDouble, alias: EJScre_273 )
• EJScre_274 ( type: esriFieldTypeDouble, alias: EJScre_274 )
• EJScre_275 ( type: esriFieldTypeDouble, alias: EJScre_275 )
• EJScre_276 ( type: esriFieldTypeDouble, alias: EJScre_276 )
• EJScre_277 ( type: esriFieldTypeDouble, alias: EJScre_277 )
• EJScre_278 ( type: esriFieldTypeDouble, alias: EJScre_278 )
• EJScre_279 ( type: esriFieldTypeDouble, alias: EJScre_279 )
• EJScre_280 ( type: esriFieldTypeDouble, alias: EJScre_280 )
• EJScre_281 ( type: esriFieldTypeDouble, alias: EJScre_281 )
• EJScre_282 ( type: esriFieldTypeDouble, alias: EJScre_282 )
• EJScre_283 ( type: esriFieldTypeDouble, alias: EJScre_283 )
• EJScre_284 ( type: esriFieldTypeDouble, alias: EJScre_284 )
• EJScre_285 ( type: esriFieldTypeDouble, alias: EJScre_285 )
• EJScre_286 ( type: esriFieldTypeDouble, alias: EJScre_286 )
• EJScre_287 ( type: esriFieldTypeDouble, alias: EJScre_287 )
• EJScre_288 ( type: esriFieldTypeDouble, alias: EJScre_288 )
• EJScre_289 ( type: esriFieldTypeDouble, alias: EJScre_289 )
• EJScre_290 ( type: esriFieldTypeDouble, alias: EJScre_290 )
• EJScre_291 ( type: esriFieldTypeDouble, alias: EJScre_291 )
• EJScre_292 ( type: esriFieldTypeDouble, alias: EJScre_292 )
• EJScre_293 ( type: esriFieldTypeDouble, alias: EJScre_293 )
• EJScre_294 ( type: esriFieldTypeDouble, alias: EJScre_294 )
• EJScre_295 ( type: esriFieldTypeDouble, alias: EJScre_295 )
• EJScre_296 ( type: esriFieldTypeDouble, alias: EJScre_296 )
• EJScre_297 ( type: esriFieldTypeString, alias: EJScre_297, length: 20 )
• EJScre_298 ( type: esriFieldTypeString, alias: EJScre_298, length: 20 )
• EJScre_299 ( type: esriFieldTypeString, alias: EJScre_299, length: 20 )
• EJScre_300 ( type: esriFieldTypeString, alias: EJScre_300, length: 20 )
• EJScre_301 ( type: esriFieldTypeString, alias: EJScre_301, length: 20 )
• EJScre_302 ( type: esriFieldTypeString, alias: EJScre_302, length: 20 )
• EJScre_303 ( type: esriFieldTypeString, alias: EJScre_303, length: 20 )
• EJScre_304 ( type: esriFieldTypeString, alias: EJScre_304, length: 20 )
• EJScre_305 ( type: esriFieldTypeString, alias: EJScre_305, length: 50 )
• EJScre_306 ( type: esriFieldTypeString, alias: EJScre_306, length: 10 )
• EJScre_307 ( type: esriFieldTypeString, alias: EJScre_307, length: 10 )
• EJScre_308 ( type: esriFieldTypeString, alias: EJScre_308, length: 10 )
• EJScre_309 ( type: esriFieldTypeString, alias: EJScre_309, length: 10 )
• EJScre_310 ( type: esriFieldTypeString, alias: EJScre_310, length: 10 )
• EJScre_311 ( type: esriFieldTypeString, alias: EJScre_311, length: 10 )
• EJScre_312 ( type: esriFieldTypeString, alias: EJScre_312, length: 50 )
• EJScre_313 ( type: esriFieldTypeString, alias: EJScre_313, length: 10 )
• EJScre_314 ( type: esriFieldTypeString, alias: EJScre_314, length: 10 )
• EJScre_315 ( type: esriFieldTypeString, alias: EJScre_315, length: 10 )
• EJScre_316 ( type: esriFieldTypeString, alias: EJScre_316, length: 10 )
• EJScre_317 ( type: esriFieldTypeString, alias: EJScre_317, length: 10 )
• EJScre_318 ( type: esriFieldTypeString, alias: EJScre_318, length: 10 )
• EJScre_319 ( type: esriFieldTypeString, alias: EJScre_319, length: 50 )
• EJScre_320 ( type: esriFieldTypeString, alias: EJScre_320, length: 10 )
• EJScre_321 ( type: esriFieldTypeString, alias: EJScre_321, length: 10 )
• EJScre_322 ( type: esriFieldTypeString, alias: EJScre_322, length: 10 )
• EJScre_323 ( type: esriFieldTypeString, alias: EJScre_323, length: 10 )
• EJScre_324 ( type: esriFieldTypeString, alias: EJScre_324, length: 10 )
• EJScre_325 ( type: esriFieldTypeString, alias: EJScre_325, length: 10 )
• EJScre_326 ( type: esriFieldTypeString, alias: EJScre_326, length: 50 )
• EJScre_327 ( type: esriFieldTypeString, alias: EJScre_327, length: 10 )
• EJScre_328 ( type: esriFieldTypeString, alias: EJScre_328, length: 10 )
• EJScre_329 ( type: esriFieldTypeString, alias: EJScre_329, length: 10 )
• EJScre_330 ( type: esriFieldTypeString, alias: EJScre_330, length: 10 )
• EJScre_331 ( type: esriFieldTypeString, alias: EJScre_331, length: 10 )
• EJScre_332 ( type: esriFieldTypeString, alias: EJScre_332, length: 10 )
• EJScre_333 ( type: esriFieldTypeString, alias: EJScre_333, length: 50 )
• EJScre_334 ( type: esriFieldTypeString, alias: EJScre_334, length: 10 )
• EJScre_335 ( type: esriFieldTypeString, alias: EJScre_335, length: 10 )
• EJScre_336 ( type: esriFieldTypeString, alias: EJScre_336, length: 10 )
• EJScre_337 ( type: esriFieldTypeString, alias: EJScre_337, length: 10 )
• EJScre_338 ( type: esriFieldTypeString, alias: EJScre_338, length: 10 )
• EJScre_339 ( type: esriFieldTypeString, alias: EJScre_339, length: 10 )
• EJScre_340 ( type: esriFieldTypeString, alias: EJScre_340, length: 50 )
• EJScre_341 ( type: esriFieldTypeString, alias: EJScre_341, length: 10 )
• EJScre_342 ( type: esriFieldTypeString, alias: EJScre_342, length: 10 )
• EJScre_343 ( type: esriFieldTypeString, alias: EJScre_343, length: 10 )
• EJScre_344 ( type: esriFieldTypeString, alias: EJScre_344, length: 10 )
• EJScre_345 ( type: esriFieldTypeString, alias: EJScre_345, length: 10 )
• EJScre_346 ( type: esriFieldTypeString, alias: EJScre_346, length: 10 )
• EJScre_347 ( type: esriFieldTypeString, alias: EJScre_347, length: 50 )
• EJScre_348 ( type: esriFieldTypeString, alias: EJScre_348, length: 10 )
• EJScre_349 ( type: esriFieldTypeString, alias: EJScre_349, length: 10 )
• EJScre_350 ( type: esriFieldTypeString, alias: EJScre_350, length: 10 )
• EJScre_351 ( type: esriFieldTypeString, alias: EJScre_351, length: 10 )
• EJScre_352 ( type: esriFieldTypeString, alias: EJScre_352, length: 10 )
• EJScre_353 ( type: esriFieldTypeString, alias: EJScre_353, length: 10 )
• EJScre_354 ( type: esriFieldTypeString, alias: EJScre_354, length: 50 )
• EJScre_355 ( type: esriFieldTypeString, alias: EJScre_355, length: 10 )
• EJScre_356 ( type: esriFieldTypeString, alias: EJScre_356, length: 10 )
• EJScre_357 ( type: esriFieldTypeString, alias: EJScre_357, length: 10 )
• EJScre_358 ( type: esriFieldTypeString, alias: EJScre_358, length: 10 )
• EJScre_359 ( type: esriFieldTypeString, alias: EJScre_359, length: 10 )
• EJScre_360 ( type: esriFieldTypeString, alias: EJScre_360, length: 10 )
• EJScre_361 ( type: esriFieldTypeString, alias: EJScre_361, length: 50 )
• EJScre_362 ( type: esriFieldTypeString, alias: EJScre_362, length: 10 )
• EJScre_363 ( type: esriFieldTypeString, alias: EJScre_363, length: 10 )
• EJScre_364 ( type: esriFieldTypeString, alias: EJScre_364, length: 10 )
• EJScre_365 ( type: esriFieldTypeString, alias: EJScre_365, length: 10 )
• EJScre_366 ( type: esriFieldTypeString, alias: EJScre_366, length: 10 )
• EJScre_367 ( type: esriFieldTypeString, alias: EJScre_367, length: 10 )
• EJScre_368 ( type: esriFieldTypeString, alias: EJScre_368, length: 50 )
• EJScre_369 ( type: esriFieldTypeString, alias: EJScre_369, length: 10 )
• EJScre_370 ( type: esriFieldTypeString, alias: EJScre_370, length: 10 )
• EJScre_371 ( type: esriFieldTypeString, alias: EJScre_371, length: 10 )
• EJScre_372 ( type: esriFieldTypeString, alias: EJScre_372, length: 10 )
• EJScre_373 ( type: esriFieldTypeString, alias: EJScre_373, length: 10 )
• EJScre_374 ( type: esriFieldTypeString, alias: EJScre_374, length: 10 )
• EJScre_375 ( type: esriFieldTypeString, alias: EJScre_375, length: 50 )
• EJScre_376 ( type: esriFieldTypeString, alias: EJScre_376, length: 10 )
• EJScre_377 ( type: esriFieldTypeString, alias: EJScre_377, length: 10 )
• EJScre_378 ( type: esriFieldTypeString, alias: EJScre_378, length: 10 )
• EJScre_379 ( type: esriFieldTypeString, alias: EJScre_379, length: 10 )
• EJScre_380 ( type: esriFieldTypeString, alias: EJScre_380, length: 10 )
• EJScre_381 ( type: esriFieldTypeString, alias: EJScre_381, length: 10 )
• EJScre_382 ( type: esriFieldTypeString, alias: EJScre_382, length: 50 )
• EJScre_383 ( type: esriFieldTypeString, alias: EJScre_383, length: 10 )
• EJScre_384 ( type: esriFieldTypeString, alias: EJScre_384, length: 10 )
• EJScre_385 ( type: esriFieldTypeString, alias: EJScre_385, length: 10 )
• EJScre_386 ( type: esriFieldTypeString, alias: EJScre_386, length: 10 )
• EJScre_387 ( type: esriFieldTypeString, alias: EJScre_387, length: 10 )
• EJScre_388 ( type: esriFieldTypeString, alias: EJScre_388, length: 10 )
• EJScre_389 ( type: esriFieldTypeDouble, alias: EJScre_389 )
• EJScre_390 ( type: esriFieldTypeDouble, alias: EJScre_390 )
• Shape_Leng ( type: esriFieldTypeDouble, alias: Shape_Leng )
• minorpct_t ( type: esriFieldTypeDouble, alias: minorpct_t )
• FoodDes_Class ( type: esriFieldTypeString, alias: FoodDes_Class, length: 5 )
• Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
• Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )

Layer: Community Gardens (71)

Parent Layer: Connect

Name: Community Gardens

Display Field: Loc_name

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Service Item Id: 9167ee882ae94a6e9d1a4e7f82be3d44

Copyright Text:

Default Visibility: true

MaxRecordCount: 50000

MaxSelectionCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: false

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: -1.32070792297E7
YMin: 3992711.9998999983
XMax: -1.3107675838399999E7
YMax: 4122615.4289999977
Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



Drawing Info:
Renderer:
Simple Renderer:
Symbol:
Label: N/A
Description: N/A
Transparency: 0
Labeling Info:
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false
Supports Percentile Statistics: true
Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: false
Supports Query With Current User: true


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• Loc_name ( type: esriFieldTypeString, alias: Loc_name, length: 23 )
• Status ( type: esriFieldTypeString, alias: Status, length: 1 )
• Score ( type: esriFieldTypeDouble, alias: Score )
• Match_type ( type: esriFieldTypeString, alias: Match_type, length: 2 )
• Match_addr ( type: esriFieldTypeString, alias: Match_addr, length: 254 )
• Addr_type ( type: esriFieldTypeString, alias: Addr_type, length: 50 )
• Type ( type: esriFieldTypeString, alias: Type, length: 120 )
• PlaceName ( type: esriFieldTypeString, alias: PlaceName, length: 120 )
• Place_addr ( type: esriFieldTypeString, alias: Place_addr, length: 200 )
• Phone ( type: esriFieldTypeString, alias: Phone, length: 20 )
• URL ( type: esriFieldTypeString, alias: URL, length: 200 )
• Rank ( type: esriFieldTypeString, alias: Rank, length: 20 )
• AddBldg ( type: esriFieldTypeString, alias: AddBldg, length: 100 )
• AddNum ( type: esriFieldTypeString, alias: AddNum, length: 80 )
• AddNumFrom ( type: esriFieldTypeString, alias: AddNumFrom, length: 10 )
• AddNumTo ( type: esriFieldTypeString, alias: AddNumTo, length: 10 )
• Side ( type: esriFieldTypeString, alias: Side, length: 1 )
• StPreDir ( type: esriFieldTypeString, alias: StPreDir, length: 20 )
• StPreType ( type: esriFieldTypeString, alias: StPreType, length: 50 )
• StName ( type: esriFieldTypeString, alias: StName, length: 100 )
• StType ( type: esriFieldTypeString, alias: StType, length: 30 )
• StDir ( type: esriFieldTypeString, alias: StDir, length: 20 )
• StAddr ( type: esriFieldTypeString, alias: StAddr, length: 254 )
• Nbrhd ( type: esriFieldTypeString, alias: Nbrhd, length: 80 )
• City ( type: esriFieldTypeString, alias: City, length: 120 )
• Subregion ( type: esriFieldTypeString, alias: Subregion, length: 120 )
• Region ( type: esriFieldTypeString, alias: Region, length: 120 )
• Postal ( type: esriFieldTypeString, alias: Postal, length: 20 )
• PostalExt ( type: esriFieldTypeString, alias: PostalExt, length: 70 )
• Country ( type: esriFieldTypeString, alias: Country, length: 30 )
• LangCode ( type: esriFieldTypeString, alias: LangCode, length: 6 )
• Distance ( type: esriFieldTypeDouble, alias: Distance )
• X ( type: esriFieldTypeDouble, alias: X )
• Y ( type: esriFieldTypeDouble, alias: Y )
• DisplayX ( type: esriFieldTypeDouble, alias: DisplayX )
• DisplayY ( type: esriFieldTypeDouble, alias: DisplayY )
• Xmin ( type: esriFieldTypeDouble, alias: Xmin )
• Xmax ( type: esriFieldTypeDouble, alias: Xmax )
• Ymin ( type: esriFieldTypeDouble, alias: Ymin )
• Ymax ( type: esriFieldTypeDouble, alias: Ymax )
• ARC_Addres ( type: esriFieldTypeString, alias: ARC_Addres, length: 100 )
• ARC_Neighb ( type: esriFieldTypeString, alias: ARC_Neighb, length: 50 )
• ARC_City ( type: esriFieldTypeString, alias: ARC_City, length: 50 )
• ARC_Subreg ( type: esriFieldTypeString, alias: ARC_Subreg, length: 50 )
• ARC_Region ( type: esriFieldTypeString, alias: ARC_Region, length: 50 )
• ARC_Postal ( type: esriFieldTypeString, alias: ARC_Postal, length: 20 )
• ARC_Post_1 ( type: esriFieldTypeString, alias: ARC_Post_1, length: 20 )
• ARC_Countr ( type: esriFieldTypeString, alias: ARC_Countr, length: 50 )
• Field1 ( type: esriFieldTypeInteger, alias: Field1 )
• Garden_Nam ( type: esriFieldTypeString, alias: Garden_Nam, length: 254 )
• LACGC_Part ( type: esriFieldTypeString, alias: LACGC_Part, length: 254 )
• Locator ( type: esriFieldTypeString, alias: Locator, length: 254 )
• Street_Add ( type: esriFieldTypeString, alias: Street_Add, length: 254 )
• City_1 ( type: esriFieldTypeString, alias: City_1, length: 254 )
• State ( type: esriFieldTypeString, alias: State, length: 254 )
• ZIP ( type: esriFieldTypeInteger, alias: ZIP )
• Garden_Con ( type: esriFieldTypeString, alias: Garden_Con, length: 254 )
• Phone_1 ( type: esriFieldTypeString, alias: Phone_1, length: 254 )
• Email ( type: esriFieldTypeString, alias: Email, length: 254 )
• Website ( type: esriFieldTypeString, alias: Website, length: 254 )
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )

Layer: Medical Facilities and Offices (72)

Parent Layer: Connect

Name: Medical Facilities and Offices

Display Field: CONAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Service Item Id: 9167ee882ae94a6e9d1a4e7f82be3d44

Copyright Text:

Default Visibility: false

MaxRecordCount: 50000

MaxSelectionCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: false

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: -1.32271387554E7
YMin: 3992746.2607000023
XMax: -1.3101756779199999E7
YMax: 4123744.8237999976
Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



Drawing Info:
Renderer:
Simple Renderer:
Symbol:
Label: N/A
Description: N/A
Transparency: 0
Labeling Info:
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false
Supports Percentile Statistics: true
Supports Having Clause: true
Supports Count Distinct: true
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Layer: MS4 Outfalls Catchments (110)

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Description: Much of this data was digitized from historical drainage study maps. To learn more about MS4 outfalls and corresponding stormwater catchment areas, please visit the NPDES site, hosted by the United States Environmental Protection Agency.Principle Attributes:AREA_NAME: These areas roughly coincide with Hydrologic Unit Codes (HUCs) as identified by the United States Geological Survey.OUTFALL_ID: Corresponds to a proposed MS4 outfall point identifier.This data is a work in progress. To obtain the most recent download, visit the Los Angeles County GIS Data Portal.

Service Item Id: 9167ee882ae94a6e9d1a4e7f82be3d44

Copyright Text: Contact: Thierno Diallo, 626-488-6920, tdiallo@dpw.lacounty.gov

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Layer: Small Watersheds (HUC12) (111)

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Description: California watershed data at the HUC 12 (12 digit hydrologic unit code) level of detail.

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Layer: Hydrology (112)

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Layer: NHD Streams and Rivers (113)

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Description: Subtypes:Stream: A natural drainage course devoid of human interference.Watercourse: A channelized natural drainage.Attributes: Most of the feature classes in this storm drain geometric network share the same GIS table schema. Only the most critical attributes per operations of the Los Angeles County Flood Control District are listed below:AttributeDescriptionASBDATEThe date the design plans were approved "as-built" or accepted as "final records".CROSS_SECTION_SHAPEThe cross-sectional shape of the pipe or channel. Examples include round, square, trapezoidal, arch, etc.DIAMETER_HEIGHTThe diameter of a round pipe or the height of an underground box or open channel.DWGNODrain Plan Drawing Number per LACFCD NomenclatureEQNUMAsset No. assigned by the Department of Public Works' (in Maximo Database).MAINTAINED_BYIdentifies, to the best of LAFCD's knowledge, the agency responsible for maintaining the structure.MOD_DATEDate the GIS features were last modified.NAMEName of the individual drainage infrastructure.OWNERAgency that owns the drainage infrastructure in question.Q_DESIGNThe peak storm water runoff used for the design of the drainage infrastructure.SOFT_BOTTOMFor open channels, indicates whether the channel invert is in its natural state (not lined).SUBTYPEMost feature classes in this drainage geometric nature contain multiple subtypes.UPDATED_BYThe person who last updated the GIS feature.WIDTHWidth of a channel in feet.

Service Item Id: 9167ee882ae94a6e9d1a4e7f82be3d44

Copyright Text: This data is maintained by the Los Angeles County Department of Public Works. Contacts: Thierno Diallo, PE, 626-458-6920, tdiallo@dpw.lacounty.gov; Jeff Wingate, PE, 626-458-7396, jwingate@dpw.lacounty.gov.

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Layer: ESA Flood Projection (0ft SLR) (138)

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Description: These hazard zones depict flooding caused by a coastal storm. The processes considered include (1) storm surge (a rise in the ocean water level caused by waves and pressure changes during a storm), (2) wave run-up (waves running up the beach and over coastal property, calculated using the maximum historical wave conditions), (3) extreme lagoon water levels which can occur when lagoon mouths are closed and fill up during rainfall events, (4) additional flooding caused by rising sea level in the future, and (5) areas expected to erode be the given time horizon (see longterm erosion hazard layers). These hazard zones do NOT consider upland fluvial (river) flooding and local rain/run-off drainage, which likely play a large part in coastal flooding, especially around coastal confluences where the creeks meet the ocean. There are two types of inundation areas: (1) areas that are clearly connected over the existing digital elevation through low topography, (2) and other low-lying areas that don’t have an apparent connection, as indicated by the digital elevation model, but are low-lying and flood prone from groundwater levels and any connections (culverts, underpasses) that are not captured by the digital elevation model. This difference is captured in the “Connection” attribute (either “connected” or “connectivity uncertain”) in each dataset. We recommend these be mapped as separate colors. -------------------------------This feature is one in a series of coastal flood and erosion hazard zones developed as part of the Los Angeles County Coastal Hazard Modeling and Vulnerability Assessment. For detailed documentation about how these hazard zones were developed, please see "Los Angeles County Coastal Hazard Modeling and Vulnerability Assessment: Technical Methods Report," a report prepared by ESA for The County of Los Angeles in September 2016.-------------------------------The name of this shapefile reflects the future scenarios and planning horizon that the hazard zone represents, as follows:"coastal_floodhz" + _ + sea level rise scenario + planning horizon-------------------------------Sea level rise scenarios:ec – Existing conditions (2010 water level)s2 – Medium sea level rise (93 cm by 2100)s3 – High sea level rise (167 cm by 2100)s4 - Extreme sea level rise (167 cm by 2080)-------------------------------Planning horizons:2010 (Existing conditions)203020502080 (Only for Extreme SLR)2100

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Copyright Text: Environmental Science Associates (ESA), 2016

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Layer: Coastal Storm Flood Projections with Sea Level Rise (139)

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Description: These hazard zones depict flooding caused by a coastal storm. The processes considered include (1) storm surge (a rise in the ocean water level caused by waves and pressure changes during a storm), (2) wave run-up (waves running up the beach and over coastal property, calculated using the maximum historical wave conditions), (3) extreme lagoon water levels which can occur when lagoon mouths are closed and fill up during rainfall events, (4) additional flooding caused by rising sea level in the future, and (5) areas expected to erode be the given time horizon (see longterm erosion hazard layers). These hazard zones do NOT consider upland fluvial (river) flooding and local rain/run-off drainage, which likely play a large part in coastal flooding, especially around coastal confluences where the creeks meet the ocean. There are two types of inundation areas: (1) areas that are clearly connected over the existing digital elevation through low topography, (2) and other low-lying areas that don’t have an apparent connection, as indicated by the digital elevation model, but are low-lying and flood prone from groundwater levels and any connections (culverts, underpasses) that are not captured by the digital elevation model. This difference is captured in the “Connection” attribute (either “connected” or “connectivity uncertain”) in each dataset. We recommend these be mapped as separate colors. -------------------------------This feature is one in a series of coastal flood and erosion hazard zones developed as part of the Los Angeles County Coastal Hazard Modeling and Vulnerability Assessment. For detailed documentation about how these hazard zones were developed, please see "Los Angeles County Coastal Hazard Modeling and Vulnerability Assessment: Technical Methods Report," a report prepared by ESA for The County of Los Angeles in September 2016.-------------------------------The name of this shapefile reflects the future scenarios and planning horizon that the hazard zone represents, as follows:"coastal_floodhz" + _ + sea level rise scenario + planning horizon-------------------------------Sea level rise scenarios:ec – Existing conditions (2010 water level)s2 – Medium sea level rise (93 cm by 2100)s3 – High sea level rise (167 cm by 2100)s4 - Extreme sea level rise (167 cm by 2080)-------------------------------Planning horizons:2010 (Existing conditions)203020502080 (Only for Extreme SLR)2100

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Layer: ESA Shoreline Change Projections (3ft - 5.5ft SLR) (175)

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Description: These zones represent cliff and dune (sandy shore) erosion hazard zones. The cliff-backed sections incorporate site-specific historic trends in erosion, additional erosion caused by accelerating sea level rise, and (in the case of the “erosion hazard zones with buffer”) an additional buffer corresponding to two standard deviations from the distribution of erosion rates alongshore was added on top of long term erosion distances. , The dune-backed (sandy) sections incorporate site-specific historic trends in erosion, additional erosion caused by accelerating sea level rise, and (in the case of the “storm erosion hazard zones”) the potential erosion impact of a large storm wave event.The inland extent of the hazard zones represent projections of the potential future cliff or sandy shore edge for a given sea level rise scenario, planning horizon, and erosion scenario. Not all areas within the hazard zone are expected to erode to this extent by the specified planning horizon, but any location has the potential to erode to this extent for the selected scenario. This feature is one in a series of coastal flood and erosion hazard zones developed as part of the Los Angeles County Coastal Hazard Modeling and Vulnerability Assessment. For detailed documentation about how these hazard zones were developed, please see "Los Angeles County Coastal Hazard Modeling and Vulnerability Assessment: Technical Methods Report," a report prepared by ESA for The County of Los Angeles in September 2016.-------------------------------The name of this shapefile reflects the future scenarios and planning horizon that the hazard zone represents, as follows:"coastal_erosion_hz" + _ + erosion projection type +_+ sea level rise scenario + planning horizon-------------------------------Erosion projection type:longterm- A continuation of historic erosion with additional erosion caused by sea level rise. Does not include potential impacts of a large storm or uncertainty in erosion events.event - Includes long-term erosion and the locally determined uncertainty: 2 standard deviations from the distribution of erosion rates along the shoreline for cliff-backed sections and the erosion caused by a large (100-year) storm event for the dune-backed (sandy) sections.-------------------------------Sea level rise scenarios:ec – Existing conditions (2010 water level)s2 – Medium sea level rise (93 cm by 2100)s3 – High sea level rise (167 cm by 2100)s4 - Extreme sea level rise (167 cm by 2080)-------------------------------Planning horizons:2010 (Existing conditions)203020502080 (Only for Extreme SLR)2100

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Description: Ownership18_2 is derived from CAL FIRE's SRA18_2 dataset, and GreenInfo Network's California Protected Areas Database (CPAD17a). CAL FIRE tracks lands owned by federal agencies as part of our efforts to maintain fire protection responsibility boundaries, captured as part of our State Responsiblity Areas (SRA) dataset. This effort draws on data provided by various federal agencies including USDA Forest Service, BLM, National Park Service, US Fish and Wildlife Service, and Bureau of Inidan Affairs. Since SRA lands are matched to county parcel data where appropriate, often federal land boundaries are also adjusted to match parcels, and may not always exactly match the source federal data. Federal lands from the SRA dataset are combined with ownership data for non-federal lands from CPAD, in order to capture lands owned by various state and local agencies, special districts, and conservation organizations. Data from CPAD are imported directly and not adjusted to match parcels or other features. However, CPAD features may be trimmed if they overlap federal lands from the SRA dataset.

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Layer: Vegetation (2015) (197)

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Layer: Fire Threat (2005) (198)

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Layer: Communities at Risk (199)

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Copyright Text: ACE 3 Working Group and ACE 3 Development Team, California Department of Fish and Wildlife. Scripting and GIS data product development: Ryan Hill, Sandra Hill, and Melanie Gogol-Prokurat. ACE 3 conceptual model and source data development: Melanie Gogol-Prokurat, Sandra Hill, Diane Mastalir, Kristi Cripe, Dan Applebee, Janet Brewster, Kristina White, Patrick McIntyre, Todd Keeler-Wolf, Lisa Ohara, Steve Goldman, Peter Ode, Whitney Albright, Ryan Hill, and Karen Miner. Multiple datasets were compiled and analyzed in the development of ACE, including but not limited to California Wildlife Habitat Relationship (CWHR) species ranges and distribution models, California Natural Diversity Database (CNDDB) and other Biogeographic Information and Observation System (BIOS) rare species occurrence data, and Vegetation Classification and Mapping Program (VegCAMP) vegetation maps/landcover data. A full list of the datasets included in the ACE analysis is included in the technical report: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326.

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