Geospatial data about City of San Diego, California Parcels. Export to CAD, GIS, PDF, CSV and access via API.
Approvals for permits, maps, agreements, and other applications processed by Development Services Department’s current cloud-based permitting system. Approval types began migrating to the current system in 2018. Data from the legacy system can be found in this dataset. A permit is required for projects such as new construction, additions, remodeling, or repairs to electrical, mechanical, and plumbing systems. A full list of the available record types is available within the metadata.
Geospatial data about City of San Diego, California Roads. Export to CAD, GIS, PDF, CSV and access via API.
This dataset is a collection of the current base zone designations applied to property in the City of San Diego, as per the Official Zoning Map adopted by the City Council on February 28, 2006, and all subsequent updates.
Geospatial data about City of San Diego, California Routes. Export to CAD, GIS, PDF, CSV and access via API.
This dataset is a collection of the current base zone designations applied to property in the City of San Diego, as per the Official Zoning Map adopted by the City Council on February 28, 2006, and all subsequent updates.Residential Base Zones (RE, RS, RX, RT, RM) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division04.pdf Areas designated for single and multi-family residences. More information about Residential Base Zone regulations are available from https://www.sandiego.gov/development-services/zoning/zoninginfo/zoninginfo130104 Commercial Base Zones (CN, CR, CO, CV, CP, CC) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division05.pdf Areas intended for businesses that provide consumer goods and services as well as a wide variety of commercial, retail, office and recreational uses. Industrial Base Zones (IP, IL, IH, IS, IBT) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division06.pdf Areas intended for research and development, factories, warehousing and other industrial uses. Mixed-Use Base Zones (RMX, EMX) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division07.pdf
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
This list ranks the 18 cities in the San Diego County, CA by Native Hawaiian and Other Pacific Islander (NHPI) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Site codes for City-owned property in relation to each parcel that was donated or sold to the City. City sites as identified by site code may comprise multiple parcels.
Data about property the City of San Diego owns, including the cost, month and year of purchase and the acreage and usage of the site.
This dataset includes the City’s operating budgets from fiscal year 2011 to the most current. This data is also visualized by our online budget tool at budget.sandiego.gov. The Operating Budget allocates funding throughout the City to fund operations and services. Rows in this dataset show budget at the expense or revenue account level. Each row includes the corresponding department and fund type, but additional corresponding information is available in separate reference datasets. Read our explanation on how to join the reference datasets to the budget datasets. For the budget that estimates costs to build and upgrade City infrastructure, see the dataset for the Capital Improvement Projects (CIP) budget.
This dataset contains parsed, extracted, and geocoded historical business and manufacturing data from Polk's San Diego City Directory using the open source directoreadr software. Images used for data extraction can be found at https://www.sandiego.gov/digitalarchives/collections/specialcollections/citydirectories.
This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
This list ranks the 18 cities in the San Diego County, CA by Multi-Racial Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Geospatial data about City of San Diego, California Contours. Export to CAD, GIS, PDF, CSV and access via API.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for San Diego city, California. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
2005 Lidar coverage over cities of San Diego, Poway, and Chula Vista. These lidar data are part of a larger project that collected lidar for a number of coastal cities in San Diego County. Data from the same 2005 lidar project may be available for other cities beyond San Diego, Poway, and Chula Vista but those cities should be contacted individually. Lidar data were collected in conjunction with a three-inch resolution imagery collection for San Diego, Poway, and Chula Vista. Lidar products include LAS files and ASCII canopy data at a minimum; Poway adds two foot contours. Point spacing of LAS data is approximately one meter. Data have also been resampled to a one-ninth arc second grid (three meter spacing) and placed within the National Elevation Dataset.
This dataset comprises centerline segments for roads (both active and inactive, public and private, constructed or of record) in San Diego County based on data received from all official jurisdictions within the County (the County and 18 cities).
Data sourced from City of San Diego Get-It-Done / 3-1-1 service. The CSV file provided by 3-1-1 was filtered by service type ("Encampment") and geocoded by addresses if latitude/longitude are not provided. Some addresses and latitude/longitudes may be incorrect due to the nature of the Get-It-Done / 3-1-1 user input field.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
PARD’s Long Range Plan for Land, Facilities and Programs, Our Parks, Our Future (adopted November 2019) compared Austin’s park system to five peer cities: Atlanta, GA, Dallas, TX, Portland, OR, San Antonio, TX, and San Diego, CA. The peer cities were selected based on characteristics such as population, size, density, and governance type. Portland and San Diego were selected as aspirational cities known for their park systems.
Note that the table below presents each scoring area’s 1 to 100 index, where 100 is the highest possible score.
This shapefile dataset includes point data of all encampment-categorized 311 / Get-it-done requests sent to the City of San Diego during the year of 2024. Requests span the City of San Diego, California, United States.Data sourced from City of San Diego Get-It-Done / 3-1-1 service. CSV file provided by 3-1-1 was analyzed for reports containing mentions of homeless encampments and then geolocated using lat/long data. Reports are subjective and may not represent actual / existing encampments.
Geospatial data about City of San Diego, California Parcels. Export to CAD, GIS, PDF, CSV and access via API.