Description: Summary:Metes and bounds description of an area.Features Updated: 2/08/2013Attributes Updated: 2/08/2013Metadata Updated: 2/13/2013Update Frequency: WeeklyPublic= YAbstract:When a deed is recorded, its metes and bounds description (Legal Description) is checked against the official registry for changes or confirmation.There are over 5000 registry maps representing the entire county of Philadelphia. Every metes and bounds description is assigned a 10 digit registry number. The first 6 digits represent the map number. The last 4 digits represent the parcel number. Maps with an ‘S’ in the registry number include everything south of Market Street. Maps with an ‘N’ in the registry number include everything north of Market Street. When a consolidation or subdivision occurs it is given the next highest parcel number on that registry map. Parcel Remainder: A subdivided parcel where no metes and bounds description was recorded, mathematically closing the remaining portion of area. Those parcels retain there original registry number until a deed confirming the remaining piece is recorded. Inactive parcels are metes and bounds descriptions which have been consolidated or subdivided in total. There relevance lies in there historical value.Data Development:Polygons are created by georeferencing survey plans into Arcmap. Or created manually using the metes and bounds description written in the deed. Key Attribute Fields:Base Registry – Identification number of a parcel or unit in a condominiumMap Registry – Identification number of a parcel of land.Parcel Number – Lot numberRegistry Map – Map numberCoordinate System:Lambert Conformal Conic, NAD83, PA South Stateplane coordinates, US FootThematic Mapping:N/AOther Information:N/ACredits:Mapping Unit Supervisor City of Philadelphia Department of Records City Hall Room 170, Philadelphia, PA 19107tracy.dandridge@phila.gov;215-686-1487
Copyright Text: Philadelphia Water Department, Office of Watersheds
1101 Market St. 4th Floor, Philadelphia, PA 19104
Mary Ellen McCarty
maryellen.mccarty@phila.gov
Copyright Text: Philadelphia Water Department, Office of Watersheds
1101 Market St. 4th Floor, Philadelphia, PA 19104
Mary Ellen McCarty
maryellen.mccarty@phila.gov
Description: AbstractPolygon geometric features updated to represent impervious surface visible in the Spring 2015, Leaf-off, AccuPlus 3" orthophotography imagery with a Center City 8 way shoot.Data DevelopmentData was updated from Spring 2015, Leaf-off, AccuPlus 3" orthophotography imagery with a Center City 8 way shoot, flown by Pictometry.Key attribute field names and descriptionsFCODE: Field Type -String; Identifies the feature type by code. Codes defined by customerSOURCE: Field Type -String; Describes the source of the featureDATE_UPDAT: Field Type -String; Identifies when the feature has been updatedUPDATED: Field Type -String; Identifies if the feature has been updatedFCODE Key1000 = Travelway1010 = Medians1020 = Shoulder1200 = Travelway Bridge1210 = Railroad Bridge1220 = Pedestrain Bridge2200 = Parking2210 = Sidewalks2220 = Asph/Conc Slabs Ditches2230 = Driveways2240 = Alleys2250 = Parking Islands2260 = Inground Pools2300 = Compacted Earth2310 = Railroad Ballast, Gravel9999 = Grass Layer or Vegetated/Natural SurfaceDate CapturedFeatures updated: 10/06/2016Attributes updated: 10/06/2016Metadata updated: 10/10/2016Captured ByOriginally Collected = SanbornUpdated = ISCTopology Checked/Reviewed = PictometryCoordinate SystemProjected Coordinate System: NAD_1983_StatePlane_Pennsylvania_South_FIPS_3702_FeetProjection: Lambert_Conformal_ConicFalse_Easting: 1968500.00000000False_Northing: 0.00000000Central_Merifian: -77.75000000Standard_Parallel_1: 39.93333333Standard_Parallel_2: 40.96666667Latitude_Of_Origin: 39.33333333Linear Unit: Foot_US
Service Item Id: 99814ad2bfce4ee98d868264e642af8b
Copyright Text: Pictometry Intelligent Images, Intergraph Services Company (ISC), and Sanborn Mapping Services
Estimate__Renter_occupied____Moved_in_2015_or_later
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2015 or later
)
Estimate__Renter_occupied____Moved_in_2010_to_2014
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2010 to 2014
)
Estimate__Renter_occupied____Moved_in_2000_to_2009
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2000 to 2009
)
Estimate__Renter_occupied____Moved_in_1990_to_1999
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1990 to 1999
)
Estimate__Renter_occupied____Moved_in_1980_to_1989
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1980 to 1989
)
Estimate__Renter_occupied____Moved_in_1979_or_earlier
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1979 or earlier
)
Estimate__Median_year_householder_moved_into_unit______Total_
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Total:
)
Estimate__Median_year_householder_moved_into_unit______Owner_occ
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Owner occupied
)
Estimate__Median_year_householder_moved_into_unit______Renter_oc
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Renter occupied
)
Estimate__Total_Workers_16yrs_and_older_
(
type: esriFieldTypeInteger, alias: Estimate; Total Workers 16yrs and older:
)
Estimate__Total____Worked_in_state_of_residence____Worked_in_cou
(
type: esriFieldTypeInteger, alias: Estimate; Total: - Worked in state of residence: - Worked in county of residence
)
Pct_Worked_in_county_of_residence
(
type: esriFieldTypeDouble, alias: Pct_Worked in county of residence
)
Estimate__Renter_occupied____Moved_in_2015_or_later
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2015 or later
)
Estimate__Renter_occupied____Moved_in_2010_to_2014
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2010 to 2014
)
Estimate__Renter_occupied____Moved_in_2000_to_2009
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2000 to 2009
)
Estimate__Renter_occupied____Moved_in_1990_to_1999
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1990 to 1999
)
Estimate__Renter_occupied____Moved_in_1980_to_1989
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1980 to 1989
)
Estimate__Renter_occupied____Moved_in_1979_or_earlier
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1979 or earlier
)
Estimate__Median_year_householder_moved_into_unit______Total_
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Total:
)
Estimate__Median_year_householder_moved_into_unit______Owner_occ
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Owner occupied
)
Estimate__Median_year_householder_moved_into_unit______Renter_oc
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Renter occupied
)
Estimate__Total_Workers_16yrs_and_older_
(
type: esriFieldTypeInteger, alias: Estimate; Total Workers 16yrs and older:
)
Estimate__Total____Worked_in_state_of_residence____Worked_in_cou
(
type: esriFieldTypeInteger, alias: Estimate; Total: - Worked in state of residence: - Worked in county of residence
)
Pct_Worked_in_county_of_residence
(
type: esriFieldTypeDouble, alias: Pct_Worked in county of residence
)
Estimate__Renter_occupied____Moved_in_2015_or_later
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2015 or later
)
Estimate__Renter_occupied____Moved_in_2010_to_2014
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2010 to 2014
)
Estimate__Renter_occupied____Moved_in_2000_to_2009
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2000 to 2009
)
Estimate__Renter_occupied____Moved_in_1990_to_1999
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1990 to 1999
)
Estimate__Renter_occupied____Moved_in_1980_to_1989
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1980 to 1989
)
Estimate__Renter_occupied____Moved_in_1979_or_earlier
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1979 or earlier
)
Estimate__Median_year_householder_moved_into_unit______Total_
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Total:
)
Estimate__Median_year_householder_moved_into_unit______Owner_occ
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Owner occupied
)
Estimate__Median_year_householder_moved_into_unit______Renter_oc
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Renter occupied
)
Estimate__Total_Workers_16yrs_and_older_
(
type: esriFieldTypeInteger, alias: Estimate; Total Workers 16yrs and older:
)
Estimate__Total____Worked_in_state_of_residence____Worked_in_cou
(
type: esriFieldTypeInteger, alias: Estimate; Total: - Worked in state of residence: - Worked in county of residence
)
Pct_Worked_in_county_of_residence
(
type: esriFieldTypeDouble, alias: Pct_Worked in county of residence
)
Estimate__Renter_occupied____Moved_in_2015_or_later
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2015 or later
)
Estimate__Renter_occupied____Moved_in_2010_to_2014
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2010 to 2014
)
Estimate__Renter_occupied____Moved_in_2000_to_2009
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2000 to 2009
)
Estimate__Renter_occupied____Moved_in_1990_to_1999
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1990 to 1999
)
Estimate__Renter_occupied____Moved_in_1980_to_1989
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1980 to 1989
)
Estimate__Renter_occupied____Moved_in_1979_or_earlier
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1979 or earlier
)
Estimate__Median_year_householder_moved_into_unit______Total_
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Total:
)
Estimate__Median_year_householder_moved_into_unit______Owner_occ
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Owner occupied
)
Estimate__Median_year_householder_moved_into_unit______Renter_oc
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Renter occupied
)
Estimate__Total_Workers_16yrs_and_older_
(
type: esriFieldTypeInteger, alias: Estimate; Total Workers 16yrs and older:
)
Estimate__Total____Worked_in_state_of_residence____Worked_in_cou
(
type: esriFieldTypeInteger, alias: Estimate; Total: - Worked in state of residence: - Worked in county of residence
)
Pct_Worked_in_county_of_residence
(
type: esriFieldTypeDouble, alias: Pct_Worked in county of residence
)
Estimate__Renter_occupied____Moved_in_2015_or_later
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2015 or later
)
Estimate__Renter_occupied____Moved_in_2010_to_2014
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2010 to 2014
)
Estimate__Renter_occupied____Moved_in_2000_to_2009
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 2000 to 2009
)
Estimate__Renter_occupied____Moved_in_1990_to_1999
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1990 to 1999
)
Estimate__Renter_occupied____Moved_in_1980_to_1989
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1980 to 1989
)
Estimate__Renter_occupied____Moved_in_1979_or_earlier
(
type: esriFieldTypeInteger, alias: Estimate; Renter occupied: - Moved in 1979 or earlier
)
Estimate__Median_year_householder_moved_into_unit______Total_
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Total:
)
Estimate__Median_year_householder_moved_into_unit______Owner_occ
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Owner occupied
)
Estimate__Median_year_householder_moved_into_unit______Renter_oc
(
type: esriFieldTypeInteger, alias: Estimate; Median year householder moved into unit -- - Renter occupied
)
Estimate__Total_Workers_16yrs_and_older_
(
type: esriFieldTypeInteger, alias: Estimate; Total Workers 16yrs and older:
)
Estimate__Total____Worked_in_state_of_residence____Worked_in_cou
(
type: esriFieldTypeInteger, alias: Estimate; Total: - Worked in state of residence: - Worked in county of residence
)
Pct_Worked_in_county_of_residence
(
type: esriFieldTypeDouble, alias: Pct_Worked in county of residence
)
Estimate__Total_Housing_Units
(
type: esriFieldTypeInteger, alias: Estimate; Total Housing Units
)
Description: Estimation of inundation from category 1 hurricane + 0 feet of sea level rise.
Service Item Id: 99814ad2bfce4ee98d868264e642af8b
Copyright Text: These data reflect the underlying data used to generate the geographic information on sea level rise and storm surge developed by NOAA and which are public. The methodology for combining sea level rise and storm surge was developed by OE. Any use of the combined sea level and storm surge data should acknowledge OE.
Description: Estimation of inundation from category 1 hurricane + 1 feet of sea level rise.
Service Item Id: 99814ad2bfce4ee98d868264e642af8b
Copyright Text: These data reflect the underlying data used to generate the geographic information on sea level rise and storm surge developed by NOAA and which are public. The methodology for combining sea level rise and storm surge was developed by OE. Any use of the combined sea level and storm surge data should acknowledge OE.
Description: Estimation of inundation from category 1 hurricane + 2 feet of sea level rise.
Service Item Id: 99814ad2bfce4ee98d868264e642af8b
Copyright Text: These data reflect the underlying data used to generate the geographic information on sea level rise and storm surge developed by NOAA and which are public. The methodology for combining sea level rise and storm surge was developed by OE. Any use of the combined sea level and storm surge data should acknowledge OE.
Description: Estimation of inundation from category 1 hurricane + 4 feet of sea level rise.
Service Item Id: 99814ad2bfce4ee98d868264e642af8b
Copyright Text: These data reflect the underlying data used to generate the geographic information on sea level rise and storm surge developed by NOAA and which are public. The methodology for combining sea level rise and storm surge was developed by OE. Any use of the combined sea level and storm surge data should acknowledge OE.
Description: Estimation of inundation from category 1 hurricane + 6 feet of sea level rise.
Service Item Id: 99814ad2bfce4ee98d868264e642af8b
Copyright Text: These data reflect the underlying data used to generate the geographic information on sea level rise and storm surge developed by NOAA and which are public. The methodology for combining sea level rise and storm surge was developed by OE. Any use of the combined sea level and storm surge data should acknowledge OE.
Description: Polygon boundaries of FEMA's 100 Year FloodplainData Development:FEMA updated this layer in 2007 and the Philadelphia City Planning Commission received it in 2009.-------------------------------------------------Projection: Lambert Conformal ConicXY Coordinate System: NAD 1983 StatePlane Pennsylvania South FIPS 3702 (US Feet)Datum: NAD 1983Units of Measurement: Foot_US
Service Item Id: 99814ad2bfce4ee98d868264e642af8b
Copyright Text: FEMA
Uploaded by Pauline Loughlin
Philadelphia City Planning Commission
1515 Arch Street, 13 Fl, Philadelphia, PA 19102
pauline.loughlin@phila.gov, (215) 683 - 4662
GIS Manager: Darshna Patel
darshna.patel@phila.gov, (215) 683-4611
Description: Polygon boundaries of FEMA's 500 Year FloodplainData Development:FEMA updated this layer in 2007 and the Philadelphia City Planning Commission received it in 2009.-------------------------------------------------Projection: Lambert Conformal ConicXY Coordinate System: NAD 1983 StatePlane Pennsylvania South FIPS 3702 (US Feet)Datum: NAD 1983Units of Measurement: Foot_US
Service Item Id: 99814ad2bfce4ee98d868264e642af8b
Copyright Text: FEMA
Uploaded by Pauline Loughlin
Philadelphia City Planning Commission
1515 Arch Street, 13 Fl, Philadelphia, PA 19102
pauline.loughlin@phila.gov, (215) 683 - 4662
GIS Manager: Darshna Patel
darshna.patel@phila.gov, (215) 683-4611
Description: The City of Philadelphia has migrated metadata for this data set to the City-wide Metadata Catalog. For any questions about the migration and administration of the Metadata Catalog, please contact maps@phila.gov. To view the metadata for this layer, please visit:http://metadata.phila.gov/#home/datasetdetails/5543864920583086178c4e87/representationdetails/55438a889b989a05172d0d07/
Description: AbstractPolygon geometric features updated to represent impervious surface visible in the Spring 2015, Leaf-off, AccuPlus 3" orthophotography imagery with a Center City 8 way shoot.Data DevelopmentData was updated from Spring 2015, Leaf-off, AccuPlus 3" orthophotography imagery with a Center City 8 way shoot, flown by Pictometry.Key attribute field names and descriptionsFCODE: Field Type -String; Identifies the feature type by code. Codes defined by customerSOURCE: Field Type -String; Describes the source of the featureDATE_UPDAT: Field Type -String; Identifies when the feature has been updatedUPDATED: Field Type -String; Identifies if the feature has been updatedFCODE Key1000 = Travelway1010 = Medians1020 = Shoulder1200 = Travelway Bridge1210 = Railroad Bridge1220 = Pedestrain Bridge2200 = Parking2210 = Sidewalks2220 = Asph/Conc Slabs Ditches2230 = Driveways2240 = Alleys2250 = Parking Islands2260 = Inground Pools2300 = Compacted Earth2310 = Railroad Ballast, Gravel9999 = Grass Layer or Vegetated/Natural SurfaceDate CapturedFeatures updated: 10/06/2016Attributes updated: 10/06/2016Metadata updated: 10/10/2016Captured ByOriginally Collected = SanbornUpdated = ISCTopology Checked/Reviewed = PictometryCoordinate SystemProjected Coordinate System: NAD_1983_StatePlane_Pennsylvania_South_FIPS_3702_FeetProjection: Lambert_Conformal_ConicFalse_Easting: 1968500.00000000False_Northing: 0.00000000Central_Merifian: -77.75000000Standard_Parallel_1: 39.93333333Standard_Parallel_2: 40.96666667Latitude_Of_Origin: 39.33333333Linear Unit: Foot_US
Service Item Id: 99814ad2bfce4ee98d868264e642af8b
Copyright Text: Pictometry Intelligent Images, Intergraph Services Company (ISC), and Sanborn Mapping Services
Description: EJSCREEN is an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. The tool provides both summary and detailed information at the Census block group level or a user-defined area for both demographic and environmental indicators. The summary information is in the form of EJ Indexes which combine demographic information with a single environmental indicator (such as proximity to traffic) that can help identify communities living in areas with greater potential for environmental and health impacts. The tool also provides additional detailed demographic and environmental information to supplement screening analyses. EJSCREEN displays this information in color-coded maps, bar charts, and standard reports. Users should keep in mind that screening tools are subject to substantial uncertainty in their demographic and environmental data, particularly when looking at small geographic areas, such as Census block groups. Data on the full range of environmental impacts and demographic factors in any given location are almost certainly not available directly through this tool, and its initial results should be supplemented with additional information and local knowledge before making any judgments about potential areas of EJ concern.
Description: EJSCREEN is an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. The tool provides both summary and detailed information at the Census block group level or a user-defined area for both demographic and environmental indicators. The summary information is in the form of EJ Indexes which combine demographic information with a single environmental indicator (such as proximity to traffic) that can help identify communities living in areas with greater potential for environmental and health impacts. The tool also provides additional detailed demographic and environmental information to supplement screening analyses. EJSCREEN displays this information in color-coded maps, bar charts, and standard reports. Users should keep in mind that screening tools are subject to substantial uncertainty in their demographic and environmental data, particularly when looking at small geographic areas, such as Census block groups. Data on the full range of environmental impacts and demographic factors in any given location are almost certainly not available directly through this tool, and its initial results should be supplemented with additional information and local knowledge before making any judgments about potential areas of EJ concern.
Description: EJSCREEN is an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. The tool provides both summary and detailed information at the Census block group level or a user-defined area for both demographic and environmental indicators. The summary information is in the form of EJ Indexes which combine demographic information with a single environmental indicator (such as proximity to traffic) that can help identify communities living in areas with greater potential for environmental and health impacts. The tool also provides additional detailed demographic and environmental information to supplement screening analyses. EJSCREEN displays this information in color-coded maps, bar charts, and standard reports. Users should keep in mind that screening tools are subject to substantial uncertainty in their demographic and environmental data, particularly when looking at small geographic areas, such as Census block groups. Data on the full range of environmental impacts and demographic factors in any given location are almost certainly not available directly through this tool, and its initial results should be supplemented with additional information and local knowledge before making any judgments about potential areas of EJ concern.
Description: EJSCREEN is an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. The tool provides both summary and detailed information at the Census block group level or a user-defined area for both demographic and environmental indicators. The summary information is in the form of EJ Indexes which combine demographic information with a single environmental indicator (such as proximity to traffic) that can help identify communities living in areas with greater potential for environmental and health impacts. The tool also provides additional detailed demographic and environmental information to supplement screening analyses. EJSCREEN displays this information in color-coded maps, bar charts, and standard reports. Users should keep in mind that screening tools are subject to substantial uncertainty in their demographic and environmental data, particularly when looking at small geographic areas, such as Census block groups. Data on the full range of environmental impacts and demographic factors in any given location are almost certainly not available directly through this tool, and its initial results should be supplemented with additional information and local knowledge before making any judgments about potential areas of EJ concern.