Streets Repair Line Segments

Transportation Department Updated Aug 18, 2026 Weekly

About this dataset

Shapefile of the City's street network. This shapefile contains the street segments identified in our streets repair projects and Overall Condition Index datasets.

This data is displayed on streets.sandiego.gov{:target="_blank" rel=“noopener”}.

Get the data

Browse the table below for all files available for this dataset

Data Downloads

File name	Download actions	File Format	File size
Street segment attribute table	Download Copy URL	CSV	6.52 MB
Street segment lines	Download Copy URL	GEOJSON	26.65 MB
Street segment lines	Download Copy URL	TOPOJSON	16.02 MB
Street segment lines	Download Copy URL	SHP	25.24 MB

View a data sample

Showing 1 transposed sample row. Download the full dataset or a view to get the data.

Data Sample

Data preview - first row of dataset transposed
Field	Sample Value
objectid	32910
roadsegid	218919
iamfloc	SS-037999-PV1
rd20full	SUNROSE CREST WY
xstrt1	ARTISAN WY
xstrt2	SAGEBRUSH BEND WY
llowaddr	0
lhighaddr	0
rlowaddr	0
rhighaddr	0
zip	92130
pwidth	30.0
pav_length	301.220369
lane_no	2.0
paveclass	AC Improved
funclass	RES RESIDENTIAL LOCAL STREET
cpname	Pacific Highlands Ranch
pci23	97.2
pci23_d	Good

Understand the data

Each field in the data is defined in the table below. Use this information to inform usage of the data.

Download dictionary

Data Dictionary

Data dictionary - field definitions for this dataset
field	Description	Possible values
objectid	Row number for this geometry object in the database
roadsegid	Unique identifier for the street segment
iamfloc	Additional unique identifier for the street segment. This identifier is used to track the street segment as a pavement asset in City asset management software
rd20full	Road name for the street segment
xstrt1	First street segment cross street
xstrt2	Second street segment cross street
llowaddr	Low address for the left side of the street segment
lhighaddr	High address for the left side of the street segment
rlowaddr	Low address for the right side of the street segment
rhighaddr	High address for the right side of the street segment
zip	ZIP code for the street segment
pwidth	Paving width
pav_length	Paving length
lane_no	Number of lanes
paveclass	Pavement classification	AC Improved, AC Unimproved, Asphalt, Concrete, Earth, Gravel, PCC Jointed Concrete, PCC Stamped, UnSurfaced
funclass	Functional classification	ALLEY, CL 2 LANE COLLECTOR, CL 2 LANE COLLECTOR WITH 2 WAY LEFT TURN, CL 2 LANE SUB-COLLECTOR, CL 4 LN COLLECTOR WITH 2 WY LEFT TURN LN, CM COMMERCIAL LOCAL STREET, F BIKEWAY, F SHARED PEDESTRIAN/BIKEWAY, MJ 4 LANE MAJOR, MJ SIX LANE URBAN MAJOR, RES CUL DE SAC, RES RESIDENTIAL LOCAL STREET
cpname	The Community Planning Area in which this street segment is primarily located	Balboa Park, Barrio Logan, Black Mountain Ranch, Carmel Mountain Ranch, Carmel Valley, Clairemont Mesa, College Area, Del Mar Mesa, Downtown, East Elliott, Encanto Neighborhoods, Fairbanks Ranch Country Club, Greater Golden Hill, Kearny Mesa, La Jolla, Linda Vista, Los Penasquitos Canyon Preserve, Mid-City: City Heights, Mid-City: Eastern Area, Mid-City: Kensington-Talmadge, Mid-City: Normal Heights, Midway-Pacific Highway, Military Facilities, Mira Mesa, Miramar Ranch North, Mission Bay Park, Mission Beach, Mission Valley, Navajo, NCFUA Subarea II, North Park, Ocean Beach, Old Town San Diego, Otay Mesa, Otay Mesa-Nestor, Outside Boundary, Pacific Beach, Pacific Highlands Ranch, Peninsula, Rancho Bernardo, Rancho Encantada, Rancho Penasquitos, Reserve, Sabre Springs, San Pasqual, San Ysidro, Scripps Miramar Ranch, Serra Mesa, Skyline-Paradise Hills, Southeastern San Diego, Tierrasanta, Tijuana River Valley, Torrey Highlands, Torrey Hills, Torrey Pines, University, Uptown, Via De La Valle
pci23	The Pavement Condition Index (PCI) measured in 2023. PCI is the most widely used method for assessing and reporting street pavement conditions. The PCI scoring scale ranges from zero (worst) to 100 (best) and provides a common language for pavement practitioners to describe and communicate pavement conditions. PCI scores are used to help the City choose the appropriate maintenance and repair treatment types for each street.	0 - 100
pci23_d	A categorical description of the PCI measured in 2023	Failed, Fair, Good, Poor, Satisfactory, Serious, Very Poor

PublisherTransportation Department
Last Updated Aug 18, 2026
Update Frequency Weekly
Date Issued Sep 16, 2016
Available Formats .CSV, .GEOJSON, .TOPOJSON, .SHP
License View License

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