Polygon vector map data covering boundaries for the City of Los Angeles containing 4 features.

Boundary GIS (Geographic Information System) data is spatial information that delineates the geographic boundaries of specific geographic features. This data typically includes polygons representing the outlines of these features, along with attributes such as names, codes, and other relevant information.

Boundary GIS data is used for a variety of purposes across multiple industries, including urban planning, environmental management, public health, transportation, and business analysis.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

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This line feature layer contains Legal City boundaries within Los Angeles County.

The principal attribute is BDRY_TYPE which represents the boundary feature types. Use its values below for definition queries and layer symbology for your mapping needs.

Coast - This value represents the coastline. This data is carefully maintained by DPW staff, based Los Angeles Region Imagery Acquisition Consortium data.

Land City - This value represents city boundaries on land.

Land County - This value represents the county boundary on land.

Pier - One example is the Santa Monica Pier. Man-made features may be regarded as extensions of the coastline.

Breakwater - Examples include the breakwater barriers that protect the Los Angeles Harbor.

Water - This value is used to separate features representing internal navigable waters and the ocean. Examples of internal waters are found in the Long Beach Harbor and in Marina del Rey.

Ocean - This value is used to represent ocean boundaries between cities in addition to the seaward boundaries of coastal cities. Per the Submerged Lands Act, the seaward boundaries of coastal cities and unincorporated county areas are three nautical miles (a nautical mile is 1852 meters) from the coastline.

All buildings over 64 square feet in City of Los Angeles captured through LARIAC4 4" and 1' imagery. LARIAC4 guide: https://lariac-lacounty.hub.arcgis.com/pages/lariac4-documents-dataCountywide Building Outlines download available from LA County at: https://data.lacounty.gov/maps/57f5fc977d6a427a978003a6229ab5e7/aboutData is from 2014.

This layer is sourced from lacitydbs.org.

This layer contains Legal City boundaries within Los Angeles County. The Los Angeles County Department of Public Works provides the most current shape file of these city boundaries for download at its Spatial Information Library.Note: This boundary layer will not line up with the Thomas Brothers city layer. Principal attributes include:CITY_NAME: represents the city's name.CITY_TYPE: may be used for definition queries; "Unincorporated" or "City".FEAT_TYPE: contains the type of feature each polygon represents:Land - Use this value for your definition query if you want to see only land features on your map.Pier - One example is the Santa Monica Pier. Man-made features may be regarded as extensions of the coastline.Breakwater - Examples include the breakwater barriers that protect the Los Angeles Harbor.Water - Polygons with this attribute value represent internal navigable waters. Examples of internal waters are found in the Long Beach Harbor and in Marina del Rey.3NM Buffer - Per the Submerged Lands Act, the seaward boundaries of coastal cities and unincorporated county areas are three nautical miles (a nautical mile is 1852 meters) from the coastline.

This dataset provides information about the number of properties, residents, and average property values for Skyline Drive cross streets in Los Angeles, CA.

** Download as File GeodatabaseThe Countywide building outline dataset contains building outlines (over 3,000,000) for all buildings in Los Angeles County, including building height, building area, and the parcel number (also known as building footprints). This data was captured from stereo imagery as part of the LARIAC2 Project (2008 acquisition) and was updated as part of the LARIAC4 (2014) imagery acquisition. There are a number of sources. All buildings were updated to include changes between 2008 and 2014.

City of Palmdale - building outlines from the LARIAC (2006) imagery derived from orthogonal imagery. City of Pasadena - building outlines from earlier imagery, updated with LARIAC2 (2008) imagery in 2008 City of Glendale - building outlines from earlier imagery, updated with LARIAC2 (2008) imagery in 2008 City of Los Angeles - building outlines from LARIAC2 (2008), stereo generated, for all buildings > 64 square feet The rest of the County - building outlines from LARIAC2 (2008), stereo generated, for all buildings > 400 square feet Most of the buildings in this dataset were generated using stereo imagery. This means that the person capturing the buildings actually saw them in 3-D, and therefore was able to more accurately capture the location of the roof line, since this method eliminated the impacts of building lean (where the height of the building impacts its apparent location). Basically this is the most accurate method for capturing building outlines. In many cases the location is more accurate than our aerial photography and parcel boundaries.This file contains a file geodatabase which has two feature classes:

LARIAC4_BUILDINGS_2014 – this is the current set of buildings as of 2014 LARIAC2_BUILDINGS_DELETED_2014 – these are the buildings from LARIAC2 that have been modified or deleted. These can be for change analysis and detection.

The City Official boundary extends six miles off the coast of Los Angeles County as required by the State of California official boundary for City's along the coast. The City Boundary provided here supports map cartography is the traditional view of Long Beach that highlights the Port of Long Beach and shore line. This is not the official City Limits and is commonly used to support map products for the Harbor and beach communities.

Description: The neighborhoods shown in this dataset are derived from a larger dataset drawn and maintained by the Data Desk, a team of Times reporters and Web developers in downtown L.A. The boundaries have expanded and shifted over time and now cover all of Los Angeles County broken down into 272 neighborhoods.This version of the LA Times boundaries only includes neighborhoods fully or partially within the City of Los Angeles. Neighborhoods that extend into other cities have been clipped to only show the portion(s) of the neighborhoods that are within the City of Los Angeles.Data Source: Los Angeles Times' Mapping LA project.Last Updated: October 7, 2016Refresh Rate: Never - Historical data (Note: should the LA Times update their Mapping LA project with new boundaries in the future, a new LA-specific layer will be added to the GeoHub as well.)

The City Official boundary extends six miles off the coast of Los Angeles County as required by the State of California official boundary for City's along the coast.

** Download as File GeodatabaseThe Countywide building outline dataset contains building outlines (over 3,000,000) for all buildings in Los Angeles County, including building height, building area, and the parcel number (also known as building footprints). This data was captured from stereo imagery as part of the LARIAC2 Project (2008 acquisition) and was updated as part of the LARIAC4 (2014) imagery acquisition. There are a number of sources. All buildings were updated to include changes between 2008 and 2014.

City of Palmdale - building outlines from the LARIAC (2006) imagery derived from orthogonal imagery. City of Pasadena - building outlines from earlier imagery, updated with LARIAC2 (2008) imagery in 2008 City of Glendale - building outlines from earlier imagery, updated with LARIAC2 (2008) imagery in 2008 City of Los Angeles - building outlines from LARIAC2 (2008), stereo generated, for all buildings > 64 square feet The rest of the County - building outlines from LARIAC2 (2008), stereo generated, for all buildings > 400 square feet Most of the buildings in this dataset were generated using stereo imagery. This means that the person capturing the buildings actually saw them in 3-D, and therefore was able to more accurately capture the location of the roof line, since this method eliminated the impacts of building lean (where the height of the building impacts its apparent location). Basically this is the most accurate method for capturing building outlines. In many cases the location is more accurate than our aerial photography and parcel boundaries.This file contains a file geodatabase which has two feature classes:

LARIAC4_BUILDINGS_2014 – this is the current set of buildings as of 2014 LARIAC2_BUILDINGS_DELETED_2014 – these are the buildings from LARIAC2 that have been modified or deleted. These can be for change analysis and detection.

Summary: This dataset contains an inventory of City of Los Angeles Sidewalks and related features (Access Ramps, Curbs, Driveways, and Parkways).Background: This inventory was performed throughout 2017 using a combination of G.I.S software, aerial imagery (2014 LARIAC), and a geographic dataset of property/right-of way lines. The dataset has not been updated since its creation.Description: The following provides more detail about the feature classes in this dataset. All features were digitized (“traced”) as observed in the orthophotography (digital aerial photos) and assigned the Parcel Identification Number (PIN) of their corresponding property:Sidewalk (polygon) – represents paved pedestrian walkways. Typical widths are between 3‐6 feet in residential areas and larger and more variable in commercial and high‐density traffic areas.Alley-Sidewalk (polygon) – represents the prevailing walkway or path of travel at the entrance/exit of an alley. Digitized as Sidewalk features but categorized as Alley Sidewalk and assigned a generic PIN value, ALLEY SIDEWALK.Corner Polygon (polygon) - feature created where sidewalks from two streets meet but do not intersect (i.e. at corner lots). There’s no standard shape/type and configurations vary widely. These are part of the Sidewalk feature class.In commercial and high‐density residential areas where there is only continuous sidewalk (no parkway strip), the sidewalk also functions as a Driveway.Driveway (polygon) – represents area that provides vehicular access to a property. Features are not split by extended parcel lot lines except when two adjacent properties are served by the same driveway approach (e.g. a common driveway), in which case they are and assigned a corresponding PIN.Parkway (polygon) – represents the strip of land behind the curb and in front of the sidewalk. Generally, they are landscaped with ground cover but they may also be filled in with decorative stone, pavers, decomposed granite, or concrete. They are created by offsetting lines, the Back of Curb (BOC) line and the Face of Walk (FOW). The distance between the BOC and FOW is measured off the aerial image and rounded to the nearest 0.5 foot, typically 6 – 10 feet.Curb (polygon) – represents the concrete edging built along the street to form part of the gutter. Features are always 6” wide strips and are digitized using the front of curb and back of curb digitized lines. They are the leading improvement polygon and are created for all corner, parkway, driveway and, sidewalk (if no parkway strip is present) features.Curb Ramp, aka Access Ramp (point) – represents the geographic center (centroid) of Corner Polygon features in the Sidewalk feature class. They have either a “Yes” or “No” attribute that indicates the presence or absence of a wheelchair access ramp, respectively.Fields: All features include the following fields...FeatureID – a unique feature identifier that is populated using the feature class’ OBJECTID fieldAssetID – a unique feature identifier populated by Los Angeles City staff for internal usePIND – a unique Parcel Identification Number (PIN) for all parcels within the City of L.A. All Sidewalk related features will be split, non-overlapping, and have one associated Parcel Identification Number (PIN). CreateDate – indicates date feature was createdModifiedDate – indicates date feature was revised/editedCalc_Width (excluding Access Ramps) – a generalized width of the feature calculated using spatial and mathematical algorithms on the feature. In almost all cases where features have variable widths, the minimum width is used. Widths are rounded to the nearest whole number. In cases where there is no value for the width, the applied algorithms were unable to calculate a reliable value.Calc_Length (excluding Access Ramps) – a generalized length of the feature calculated using spatial and mathematical algorithms on the feature. Lengths are rounded to the nearest whole number. In cases where there is no value for the length, the applied algorithms were unable to calculate a reliable value.Methodology: This dataset was digitized using a combination of G.I.S software, aerial imagery (2014 LARIAC), and a geographic dataset of property/right-of way lines.The general work flow is as follows:Create line work based on digital orthophotography, working from the face‐of‐curb (FOC) inward to the property right-of-way (ROW)Build sidewalk, parkway, driveway, and curb polygons from the digitized line workPopulate all polygons with the adjacent property PIN and classify all featuresCreate Curb Ramp pointsWarnings: This dataset has been provided to allow easy access and a visual display of Sidewalk and related features (Parkways, Driveway, Curb Ramps and Curbs). Every reasonable effort has been made to assure the accuracy of the data provided; nevertheless, some information may not be accurate. The City of Los Angeles assumes no responsibility arising from use of this information. THE MAPS AND ASSOCIATED DATA ARE PROVIDED WITHOUT WARRANTY OF ANY KIND, either expressed or implied, including but not limited to, the implied warranties of merchantability and fitness for a particular purpose. Other things to keep in mind about this dataset are listed below:Obscured Features – The existence of dense tree canopy or dark shadows in the aerial imagery tend to obscure or make it difficult to discern the extent of certain features, such as Driveways. In these cases, they may have been inferred from the path in the corresponding parcel. If a feature and approach was completely obscured, it was not digitized. In certain instances the coloring of the sidewalk and adjacent pavement rendered it impossible to identify the curb line or that a sidewalk existed. Therefore a sidewalk may or may not be shown where one actually may or may not exist.Context: The following links provide information on the policy context surrounding the creation of this dataset. It includes links to City of L.A. websites:Willits v. City of Los Angeles Class Action Lawsuit Settlementhttps://www.lamayor.org/willits-v-city-la-sidewalk-settlement-announcedSafe Sidewalks LA – program implemented to repair broken sidewalks in the City of L.A., partly in response to the above class action lawsuit settlementhttps://sidewalks.lacity.org/Data Source: Bureau of EngineeringNotes: Please be aware that this dataset is not actively being maintainedLast Updated: 5/20/20215/20/2021 - Added Calc_Width and Calc_Length fieldsRefresh Rate: One-time deliverable. Dataset not actively being maintained.

Los Angeles County includes 88 incorporated cities and over 2,600 square miles of unincorporated area. The majority of the County’s 10 million residents live inincorporated cities, and about 1 million residents live in unincorporated areas. To ensure that communities across the County received equal representation in the Parks Needs Assessment, the County was divided into individual Study Areas. These geographic boundaries were developed using a GIS-based process that considered existing jurisdictional boundaries such as supervisorial districts, city borders, and County planning areas alongside information about population.The initial Study Area boundaries were reviewed by the Steering Committee at their first meeting. Revised Study Area boundaries incorporated Steering Committeecomments and resulted in a total of 189 Study Areas. However, due to its annexation into the City of Santa Clarita, one unincorporated community was later eliminated, bringing the final total number of Study Areasto 188. The process of establishing Study Area boundaries is illustrated in Figure 5. Each incorporated city was initially assigned a single Study Area. Cities with population over 150,000 were split into two or more Study Areas, to create a more even distribution of population among Study Areas. Each of these larger cities was allocated a number of Study Areas based on their total population:»» City of Los Angeles: 43 Study Areas»» City of Long Beach: 5 Study Areas»» City of Glendale: 2 Study Areas»» City of Santa Clarita: 2 Study Areas»» City of Lancaster: 2 Study Areas»» City of Palmdale: 2 Study Areas»» City of Pomona: 2 Study Areas»» City of Torrance: 2 Study Areas»» City of Pasadena: 2 Study AreasFor each of these cities, project consultants suggested internal Study Area boundaries based on input from city staff, geographic barriers such as major roadways, Citydeveloped boundaries such as council districts or planning areas, and population distribution. Final determination of the internal boundaries of the Study Areas was at the discretion of city staff.Unincorporated communities in the County were evaluated based on population size and geographic location. Each of the 187 incorporated communities was addressed as follows:»» Geographically isolated communities with small populations were added to the Study Area of the adjacent, like-named city. A total of 18 cities agreed toinclude an adjacent unincorporated community within their Study Area boundaries.»» Distinct and/or geographically isolated communities with larger populations each became an individual Study Area. Any of these communities with more than150,000 people was split into two Study Areas, similar to what was done for large cities.»» Geographically adjacent communities with small populations were grouped according to community name and geography, population distribution, andstatistical areas.»» Each Study Area was assigned a unique identification number, illustrated in Figure 6, Figure 7, and Table 1.

Payroll information for all Los Angeles City Departments since 2013. Data for calendar years, updated on a quarterly basis by the Los Angeles City Controller's Office.

This layer displays the location of alternative fuel stations across the U.S. and Canada. Alternative fuel sources include biodiesel, compressed natural gas, electric, ethanol, hydrogen, liquefied natural gas, propane and renewable diesel. Attributes include the station name, location, access, hours and more. Zoom into the map for more detail.This data is maintained by an Aggregated Live Feed routine that accesses the US Department of Energy's National Renewable Energy Laboratory (NREL) API website.Source: NREL Alternate Fuel Stations (ALL)Update Frequency: The service data is refreshed once DailyArea Coverage: Contiguous US, Alaska, Hawaii, Puerto Rico, and Canada.Coordinate System: Web Mercator Auxiliary Sphere (3857)Layer Summary:Stations: Point layer containing locations of all Alternate Fueling StationsRevisionsMar 17, 2023: Released to the public!This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.

IntroductionThis metadata is broken up into different sections that provide both a high-level summary of the Housing Element and more detailed information about the data itself with links to other resources. The following is an excerpt from the Executive Summary from the Housing Element 2021 – 2029 document:The County of Los Angeles is required to ensure the availability of residential sites, at adequate densities and appropriate development standards, in the unincorporated Los Angeles County to accommodate its share of the regional housing need--also known as the Regional Housing Needs Allocation (RHNA). Unincorporated Los Angeles County has been assigned a RHNA of 90,052 units for the 2021-2029 Housing Element planning period, which is subdivided by level of affordability as follows:Extremely Low / Very Low (<50% AMI) - 25,648Lower (50 - 80% AMI) - 13,691Moderate (80 - 120% AMI) - 14,180Above Moderate (>120% AMI) - 36,533Total - 90,052NOTES - Pursuant to State law, the projected need of extremely low income households can be estimated at 50% of the very low income RHNA. Therefore, the County’s projected extremely low income can be estimated at 12,824 units. However, for the purpose of identifying adequate sites for RHNA, no separate accounting of sites for extremely low income households is required. AMI = Area Median IncomeDescriptionThe Sites Inventory (Appendix A) is comprised of vacant and underutilized sites within unincorporated Los Angeles County that are zoned at appropriate densities and development standards to facilitate housing development. The Sites Inventory was developed specifically for the County of Los Angeles, and has built-in features that filter sites based on specific criteria, including access to transit, protection from environmental hazards, and other criteria unique to unincorporated Los Angeles County. Other strategies used within the Sites Inventory analysis to accommodate the County’s assigned RHNA of 90,052 units include projected growth of ADUs, specific plan capacity, selected entitled projects, and capacity or planned development on County-owned sites within cities. This accounts for approximately 38 percent of the RHNA. The remaining 62 percent of the RHNA is accommodated by sites to be rezoned to accommodate higher density housing development (Appendix B).Caveats:This data is a snapshot in time, generally from the year 2021. It contains information about parcels, zoning and land use policy that may be outdated. The Department of Regional Planning will be keeping an internal tally of sites that get developed or rezoned to meet our RHNA goals, and we may, in the future, develop some public facing web applications or dashboards to show the progress. There may even be periodic updates to this GIS dataset as well, throughout this 8-year planning cycle.Update History:1/7/25 - Following the completion of the annexation to the City of Whittier on 11/12/24, 27 parcels were removed along Whittier Blvd which contained 315 Very Low Income units and 590 Above Moderate units. Following a joint County-City resolution of the RHNA transfer to the city, 247 Very Low Income units and 503 Above Moderate units were taken on by Whittier. 10/16/24 - Modifications were made to this layer during the updates to the South Bay and Westside Area Plans following outreach in these communities. In the Westside Planning area, 29 parcels were removed and no change in zoning / land use policy was proposed; 9 Mixed Use sites were added. In the South Bay, 23 sites were removed as they no longer count towards the RHNA, but still partially changing to Mixed Use.5/31/22 – Los Angeles County Board of Supervisors adopted the Housing Element on 5/17/22, and it received final certification from the State of California Department of Housing and Community Development (HCD) on 5/27/22. Data layer published on 5/31/22.Links to other resources:Department of Regional Planning Housing Page - Contains Housing Element and it's AppendicesHousing Element Update - Rezoning Program Story Map (English, and Spanish)Southern California Association of Governments (SCAG) - Regional Housing Needs AssessmentCalifornia Department of Housing and Community Development Housing Element pageField Descriptions:OBJECTID - Internal GIS IDAIN - Assessor Identification Number*SitusAddress - Site Address (Street and Number) from Assessor Data*Use Code - Existing Land Use Code (corresponds to Use Type and Use Description) from Assessor Data*Use Type - Existing Land Use Type from Assessor Data*Use Description - Existing Land Use Description from Assessor Data*Vacant / Nonvacant – Parcels that are vacant or non-vacant per the Use Code from the Assessor Data*Units Total - Total Existing Units from Assessor Data*Max Year - Maximum Year Built from Assessor Data*Supervisorial District (2021) - LA County Board of Supervisor DistrictSubmarket Area - Inclusionary Housing Submarket AreaPlanning Area - Planning Areas from the LA County Department of Regional Planning General Plan 2035Community Name - Unincorporated Community NamePlan Name - Land Use Plan Name from the LA County Department of Regional Planning (General Plan and Area / Community Plans)LUP - 1 - Land Use Policy from Dept. of Regional Planning - Primary Land Use Policy (in cases where there are more than one Land Use Policy category present)*LUP - 1 (% area) - Land Use Policy from Dept. of Regional Planning - Primary Land Use Policy (% of parcel covered in cases where there are more than one Land Use Policy category present)*LUP - 2 - Land Use Policy from Dept. of Regional Planning - Secondary Land Use Policy (in cases where there are more than one Land Use Policy category present)*LUP - 2 (% area) - Land Use Policy from Dept. of Regional Planning - Secondary Land Use Policy (% of parcel covered in cases where there are more than one Land Use Policy category present)*LUP - 3 - Land Use Policy from Dept. of Regional Planning - Tertiary Land Use Policy (in cases where there are more than one Land Use Policy category present)*LUP - 3 (% area) - Land Use Policy from Dept. of Regional Planning - Tertiary Land Use Policy (% of parcel covered in cases where there are more than one Land Use Policy category present)*Current LUP (Description) – This is a brief description of the land use category. In the case of multiple land uses, this would be the land use category that covers the majority of the parcel*Current LUP (Min Density - net or gross) - Minimum density for this category (as net or gross) per the Land Use Plan for this areaCurrent LUP (Max Density - net or gross) - Maximum density for this category (as net or gross) per the Land Use Plan for this areaProposed LUP – Final – The proposed land use category to increase density.Proposed LUP (Description) – Brief description of the proposed land use policy.Prop. LUP – Final (Min Density) – Minimum density for the proposed land use category.Prop. LUP – Final (Max Density) – Maximum density for the proposed land use category.Zoning - 1 - Zoning from Dept. of Regional Planning - Primary Zone (in cases where there are more than one zone category present)*Zoning - 1 (% area) - Zoning from Dept. of Regional Planning - Primary Zone (% of parcel covered in cases where there are more than one zone category present)*Zoning - 2 - Zoning from Dept. of Regional Planning - Secondary Zone (in cases where there are more than one zone category present)*Zoning - 2 (% area) - Zoning from Dept. of Regional Planning - Secondary Zone (% of parcel covered in cases where there are more than one zone category present)*Zoning - 3 - Zoning from Dept. of Regional Planning - Tertiary Zone (in cases where there are more than one zone category present)*Zoning - 3 (% area) - Zoning from Dept. of Regional Planning - Tertiary Zone (% of parcel covered in cases where there are more than one zone category present)*Current Zoning (Description) - This is a brief description of the zoning category. In the case of multiple zoning categories, this would be the zoning that covers the majority of the parcel*Proposed Zoning – Final – The proposed zoning category to increase density.Proposed Zoning (Description) – Brief description of the proposed zoning.Acres - Acreage of parcelMax Units Allowed - Total Proposed Land Use Policy UnitsRHNA Eligible? – Indicates whether the site is RHNA Eligible or not. NOTE: This layer only shows those that are RHNA Eligible, but internal versions of this layer also show sites that were not-RHNA eligible, or removed during the development of this layer in 2020 – 2022.Very Low Income Capacity - Total capacity for the Very Low Income level as defined in the Housing ElementLow Income Capacity - Total capacity for the Low Income level as defined in the Housing ElementModerate Income Capacity - Total capacity for the Moderate Income level as defined in the Housing ElementAbove Moderate Income Capacity - Total capacity for the Above Moderate Income level as defined in the Housing ElementRealistic Capacity - Total Realistic Capacity of parcel (totaling all income levels). Several factors went into this final calculation. See the Housing Element (Links to Other Resources above) in the following locations - "Sites Inventory - Lower Income RHNA" (p. 223), and "Rezoning - Very Low / Low Income RHNA" (p231).Income Categories - Income Categories assigned to the parcel (relates to income capacity units)Lot Consolidation ID - Parcels with a unique identfier for consolidation potential (based on parcel ownership)Lot Consolidation Notes - Specific notes for consolidationConsolidation - Adjacent Parcels - All adjacent parcels that are tied to each lot consolidation IDsShape_Length - Perimeter (feet)Shape_Area - Area (sq feet)*As it existed in 2021

The "Dark Skies" layer was adopted by the BOS in January 2012, prior to final adoption of the Rural Outdoor Lighting District ordinance in November 2012. Please click here to view the full-size Supplemental Districts map in the DRP Map Catalog. "Rural Outdoor Lighting District" is one of the featured layers in this map. These areas only fall within UNINCORPORATED Los Angeles County.For further information, please contact the Ordinance Studies Section, or visit the Rural Outdoor Lighting District Ordinance page on the DRP website at https://planning.lacounty.gov/view/rural_outdoor_lighting_district_ordinance/. Source: L.A. County Department of Regional Planning (DRP) Ordinance Studies and GIS Sections; last update: November 27, 2018 for the Plum Canyon / Skyline Ranch / North Sand Canyon annexation to the City of Santa Clarita.LAST UPDATED: 12/20/22 for Annexation #2021-01 (Tesoro Del Valle)NEED MORE FUNCTIONALITY? If you are looking for more layers or advanced tools and functionality, then try our suite of GIS Web Mapping Applications.

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This pipe feature class represents current wastewater information of the mainline sewer in the City of Los Angeles. The Mapping and Land Records Division of the Bureau of Engineering, Department of Public Works provides the most rigorous geographic information of the storm drain system using a geometric network model, to ensure that its storm drains reflect current ground conditions. The conduits and inlets represent the storm drain infrastructure in the City of Los Angeles. Storm drain information is available on NavigateLA, a website hosted by the Bureau of Engineering, Department of Public Works.Associated information about the wastewater Pipe is entered into attributes. Principal attributes include:PIPE_SUBTYPE: pipe subtype is the principal field that describes various types of lines as either Airline, Force Main, Gravity, Siphon, or Special Lateral.For a complete list of attribute values, please refer to (TBA Wastewater data dictionary). Wastewater pipe lines layer was created in geographical information systems (GIS) software to display the location of sewer pipes. The pipe lines layer is a feature class in the LACityWastewaterData.gdb Geodatabase dataset. The layer consists of spatial data as a line feature class and attribute data for the features. The lines are entered manually based on wastewater sewer maps and BOE standard plans, and information about the lines is entered into attributes. The pipe lines are the main sewers constructed within the public right-of-way in the City of Los Angeles. The ends of line segments, of the pipe lines data, are coincident with the wastewater connectivity nodes, cleanout nodes, non-structures, and physical structures points data. Refer to those layers for more information. The wastewater pipe lines are inherited from a sewer spatial database originally created by the City's Wastewater program. The database was known as SIMMS, Sewer Inventory and Maintenance Management System. For the historical information of the wastewater pipe lines layer, refer to the metadata nested under the sections Data Quality Information, Lineage, Process Step section. Pipe information should only be added to the Wastewater Pipes layer if documentation exists, such as a wastewater map approved by the City Engineer. Sewers plans and specifications proposed under private development are reviewed and approved by Bureau of Engineering. The Department of Public Works, Bureau of Engineering's, Brown Book (current as of 2010) outlines standard specifications for public works construction. For more information on sewer materials and structures, look at the Bureau of Engineering Manual, Part F, Sewer Design, F 400 Sewer Materials and Structures section, and a copy can be viewed at http://eng.lacity.org/techdocs/sewer-ma/f400.pdf.List of Fields:STREET: This is the street name and street suffix on which the pipe is located.PIPE_LABEL: This attribute identifies the arc segment between two nodes, which represents the pipe segment. There could be any number of pipes between the same two maintenance holes and at least one. If there is more than one pipe between the same two maintenance holes, then a value other than 'A' is assigned to each pipe, such as the value 'B', 'C', and so on consecutively. Also, when a new pipe is constructed, some old pipes are not removed from the ground and the new pipe is added around the existing pipe. In this case, if the original pipe was assigned an 'A', the new pipe is assigned a 'B'.C_UP_INV: This is the calculated pipe upstream invert elevation value.PIPE_MAT: The value signifies the various materials that define LA City's sewer system. Values: • TCP - Terra Cotta pipe. • CMP - Corrugated metal pipe. • RCP - Reinforced concrete pipe. Used for sewers larger than 42inch, with exceptions. • PCT - Polymer concrete pipe. • CON - Concrete or cement. • DIP - Ductile iron pipe. • ABS - Acrylonitrile butadiene styrene. • STL - Steel. • UNK - Unknown. • ACP - Asbestos cement pipe. • RCL - Reinforced concrete pipe lined. • OTH - Other or unknown. • VCP - Vitrified clay pipe. • TRS - Truss pipe. • CIP - Cast iron pipe. • PVC - Polyvinyl chloride. • BRK - Brick. • RCPL - Lined Reinforced concrete pipe. Used for sewers larger than 42inch, with exceptions. • B/C - Concrete brick pipe. • FRP - Centrifugally cast fiberglass reinforced plastic mortar pipe.DN_INV: This is the downstream invert elevation value.PIPE_WIDTH: This value is the pipe dimension for shapes other than round.C_SLOPE: This is the calculated slope.ENABLED: Internal feature number.DN_STRUCT: This attribute identifies a number at one of two end points of the line segment that represents a sewer pipe. A sewer pipe line has a value for the UP_STRUCT and DN_STRUCT fields. This point is the downstream structure that may be a maintenance hole, pump station, junction, etc. Each of these structures is assigned an identifying number that corresponds to a Sewer Wye data record. The 8 digit value is based on an S-Map index map using a standardized numbering scheme. The S-Map is divided into 16 grids, each numbered sequentially from west to east and north to south. The first three digits represent the S-Map number, the following two digits represent the grid number, and the last three digits represent the structure number within the grid. This field also relates to the (name of table or layer) node attribute table.PIPE_SIZE: This value is the inside pipe diameter in inches.MON_INST: This is the month of the pipe installation.PIPE_ID: The value is a combination of the values in the UP_STRUCT, DN_STRUCT, and PIPE_LABEL fields. This is the 17 digit identifier of each pipe segment and is a key attribute of the pipe line data layer. This field named PIPE_ID relates to the field in the Annotation Pipe feature class and to the field in the Wye line feature class data layers.REMARKS: This attribute contains additional comments regarding the pipe line segment.DN_STA_PLS: This is the tens value of the downstream stationing.EASEMENT: This value denotes whether or not the pipe is within an easement.DN_STA_100: This is the hundreds value of the downstream stationing.PIPE_SHAPE: The value signifies the shape of the pipe cross section. Values: • SE - Semi-Elliptical. • O1 - Semi-Elliptical. • UNK - Unknown. • BM - Burns and McDonald. • S2 - Semi-Elliptical. • EL - Elliptical. • O2 - Semi-Elliptical. • CIR - Circular. • Box - Box (Rectangular).PIPE_STATUS: This attribute contains the pipe status. Values: • U - Unknown. • P - Proposed. • T - Abandoned. • F - As Built. • S - Siphon. • L - Lateral. • A - As Bid. • N - Non-City. • R - Airline.ENG_DIST: LA City Engineering District. The boundaries are displayed in the Engineering Districts index map. Values: • O - Out LA. • V - Valley Engineering District. • W - West LA Engineering District. • H - Harbor Engineering District. • C - Central Engineering District.C_PIPE_LEN: This is the calculated pipe length.OWNER: This value is the agency or municipality that constructed the pipe. Values: • PVT - Private. • CTY - City of LA. • FED - Federal Facilities. • COSA - LA County Sanitation. • OUTLA - Adjoining cities.CRTN_DT: Creation date of the line feature.TRTMNT_LOC: This value is the treatment plant used to treat the pipe wastewater.PCT_ENTRY2: This is the flag determining if the second slope value, in SLOPE2 field, was entered in percent as opposed to a decimal. Values: • Y - The value is expressed as a percent. • N - The value is not expressed as a percent.UP_STA_100: This is the hundreds value of the upstream stationing.DN_MH: The value is the ID of the structure. This point is the structure that may be a maintenance hole, pump station, junction, etc. The field name DN_MH signifies the structure is the point at the downstream end of the pipe line segment. The field DN_MH is a key attribute to relate the pipe lines feature class to the STRUCTURE_ID field in the physical structures feature class.SAN_PIPE_IDUSER_ID: The name of the user carrying out the edits of the pipe data.WYE_MAT: This is the pipe material as shown on the wye card.WYE_DIAM: This is the pipe diameter as shown on the wye card.SLOPE2: This is the second slope value used for pipe segments with a vertical curve.EST_YR_LEV: This value is the year installed level.EST_MATL: This is the flag determining if the pipe material was estimated.LINER_DATE: This value is the year that the pipe was re-lined.LAST_UPDATE: Date of last update of the line feature.SHAPE: Feature geometry.EST_YEAR: This is the flag indicating if the year if installation was estimated.EST_UPINV: This is the flag determining if the pipe upstream elevation value was estimated.WYE_UPDATE: This value indicates whether the wye card was updated.PCT_ENTRY: This is the flag determining if the slope was entered in percent as opposed to a decimal. Values: • N - The value is not expressed as a percent. • Y - The value is expressed as a percent.PROF: This is the profile drawing number.PLAN1: This is the improvement plan drawing number.PLAN2: This is the supplementary improvement plan drawing number.EST_DNINV: This is the flag determining if the pipe downstream elevation value was estimated.UP_STRUCT: This attribute identifies a number at one of two end points of the line segment that represents a sewer pipe. A sewer pipe line has a value for the UP_STRUCT and DN_STRUCT fields. This point is the upstream structure that may be a maintenance hole, pump station, junction, etc. Each of these structures is assigned an identifying number that corresponds to a Sewer Wye data record. The 8 digit value is based on an S-Map index map

Summary: All Real Estate and Facilities for the City of Los Angeles (including owned by and leased to the city).This is a point feature class showing the location of each City Real Estate and Facility. Fields included are: PropertyID (Asset Management System ID), Property_Description, Property_Status (such as ACTIVE or SURPLUS-DECLARED), Property_Type (such as LOT, PARCEL or BUILDING), Property_Class (such as OFFICE, YARD, RECREATION or FIRE), Property_APN, Council_District, Area_Planning_Commission, Community_Plan_Area), Jurisdiction_Dept, Maintenance_Dept, Owned_or_Leased (which can be CITY_OWNED, LEASED_TO_CITY or UNKNOWN) and location fields.Data Source: This dataset is created and maintained by General Services Department (GSD) - Real Estate Services Division.Last Updated: 1/8/2025Refresh Rate: Monthly. This dataset is refreshed at the end of each month.