Help us to build a collaborative community for the future development of Open Government and Open Data Initiative for San Diego!

Why sponsor?

          The Big Data Hackathon for San Diego aims to promote the development of data science and information technology solutions for San Diego on important civic issues related to water conservation, disaster response, and crime monitoring. Sponsorship of this important hackathon event will give you access to top talent and emerging stars in the information technology, data science and computer science fields.

          Over 200 participants are expected to attend this free event. Sponsorship can give you an opportunity to build company and brand recognition, to mentor and judge the innovative work created at the Hackathon, and to present your recent big data efforts to a large and targeted audience. If you are interested in becoming a sponsor, please download our flyer to see sponsorship levels or contact Professor Amy Schmitz Weiss about sponsorship opportunities at aschmitz@sdsu.edu.

• This data access portal will take you to the most recent demographic, economic, behavioral, and health data available by communities in San Diego County.

• Dataset
  • San Diego Live Well Data Portal

• The California Health and Human Services Agency (CHHS) has launched its Open Data Portal initiative in order to increase public access to one of the State’s most valuable assets – non-confidential health and human services data. Its goals are to spark innovation, promote research and economic opportunities, engage public participation in government, increase transparency, and inform decision-making. "Open Data" describes data that are freely available, machine-readable, and formatted according to national technical standards to facilitate visibility and reuse of published data.

  The portal offers access to standardized data that can be easily retrieved, combined, downloaded, sorted, searched, analyzed, redistributed and re-used by individuals, business, researchers, journalists, developers, and government to process, trend, and innovate.

• Dataset
  • California Health and Human Services Open Data Portal

• Established in 1978, Moores Cancer Center is one of just 45 National Cancer Institute-designated Comprehensive Cancer Centers in the United States, and the only one in the San Diego region. Such centers are prominent among the leading institutions in the nation dedicated to scientific innovation and clinical excellence. This designation — reserved for centers with the highest achievements in cancer research, clinical care, education and community contributions — makes an enormous difference to our patients. Studies show that outcomes are better at NCI-designated centers.

• Link
  • UCSD Moores Cancer Center

• License query system hosted by the California Dept. of Alcoholic Beverage Control. Users of the system can generate reports on daily, weekly, and monthly time frame. Ad-hoc reports are also optional in the system.

• Dataset
  • License Query System - Reports

• Processed crime incidents, based on data supplied by SANDAG.

  Important:

  • See Caveats for limitations and warnings regarding this data.
  • Use of this data is subject to multiple terms and conditions. See Terms for details.

  This dataset includes geocoded crime incidents from 1 Jan 2007 to 31 March 2013 that were returned by SANDAG for Public Records request 12-075.

  The extracts from the dataset include both CSV files, for use in spreadsheet applications, and ESRI shapefiles, for use in GIS applications. Both files are partitioned by year and include the following fields. Shapefiles also include point geometries for each incident.

  Many of the columns use Clarinova Place Codes (CPC) to identify places, such as neighborhoods, council districts and communities.

• Dataset
  • San Diego Region Crime Incidents 2007 – 2013

• Live Feeds hosted by Esri as REST Service (including earthquake and wildfire)

• Dataset
  • ArcGIS Live Feeds

• Fire, evacuation, and other hazard boundaries are approximate and can change rapidly. This map is based on official mapping sources that show rough footprints of active emergencies and emergency notification areas from responding agencies that may take several hours to produce. Zooming into specific locations may produce misleading information. Please monitor official County of San Diego updates at www.sdcountyemergency.com/updates or call 2-1-1 for specific emergency information such as road closures and evacuations.

• Dataset
  • San Diego County Emergency Data Feed (ArcGIS Feature Service)

• USGS Data Service is a portal that collects all the REST endpoint that are hosted by USGS. Background Map, Base Data Layers, Natural HAzard, Web Feature Services(WFS), and other data are provided.

• Dataset
  • USGS Data Service

• NCDC's Climate Data Online (CDO) offers web services that provide access to current data. This API is for developers looking to create their own scripts or programs that use the CDO database of weather and climate data. An access token is required to use the API, and each token will be limited to five requests per second and 1,000 requests per day by default.

• Dataset
  • NOAA CDO Web Services

• This page shows alerts currently in effect for San Diego (CAC073) California and is normally updated every two-three minutes.

• Dataset
  • NOAA CAP(Common Alerting Protocol)

• FEMA offers several ways for you to receive automatic updates on press releases, disaster declarations, our latest blog posts, and information from our partners. The data feeds page is intended to be a one stop shop for FEMA's open data. This data is intended for use by our whole community stakeholders and you can find more information about the metadata within each dataset. Click on the icons next to the sources below to open the data in your preferred format.

  Data Feeds include APIs, Disaster Declarations, Datasets in tables, and GIS Data

• Dataset
  • FEMA Data Feeds

• The Climate Prediction Center's (CPC) products are operational predictions of climate variability, real-time monitoring of climate and the required data bases, and assessments of the origins of major climate anomalies. The products cover time scales from a week to seasons, extending into the future as far as technically feasible, and cover the land, the ocean, and the atmosphere, extending into the stratosphere.

  These climate services are available for users in government, the public and private industry, both in this country and abroad. Applications include the mitigation of weather related natural disasters and uses for social and economic good in agriculture, energy, transportation, water resources, and health. Continual product improvements are supported through diagnostic research, increasing use of models, and interactions with user groups.

• Dataset
  • NOAA Climate Prediction Center - GIS Data

• The State of California is experiencing one of the most severe droughts on record, which has implications for citizens of California and beyond. Many State, Federal, and Tribal agencies make routine observations of the water cycle. This website graphically visualizes these data to help understand the effect of drought on rivers, streams, lakes, and reservoirs. Below, learn more about water use and changes in the water cycle due to the current drought in California.

  The data presented on the "California drought, visualized with open data" are drawn from free and publicly accessible sources. In addition, the analytical, graphical, and software tools used are open-source and available for public re-use.

• Dataset
  • Github site for the CIDA drought data map

• The USGS's National Water Use Information Program compiles and publishes the Nation's water-use data. Public access to some of these data is provided via the USGS Water Data for the Nation site (additional background). Water use refers to water that is used for specific purposes. Water-use data is collected by area type (State, county, watershed or aquifer) and source such as rivers or groundwater, and category such as public supply or irrigation. Water-use data has been reported every five years since 1950, for years ending in "0" and "5". The USGS works in cooperation with local, State, and Federal agencies as well as academic and private organizations to collect and report total withdrawals.

  Annual water-use data are expressed in units of million gallons per day (abbreviated as Mgal/d) and thousand acre-feet per year. For the irrigation category, water-use data are the average daily quantities used over a period of a year and do not represent actual daily rates. In most parts of the nation, irrigation water is applied during only a part of each year and at variable rates; therefore, the actual rate of application is much greater than the average daily rate. For all other categories, the daily quantity of water that is withdrawn may be based on daily usage or more often, monthly usage that is averaged to a daily quantity.

• Dataset
  • California Water Use Data

• This page is a portal to all kinds of information on the current and past state of water resources, both in California and around the country. Get real-time information on California water resources via a searchable Google map interface.

• Dataset
  • USGS California Water Data

• The U.S. Drought Monitor, established in 1999, is a weekly map of drought conditions that is produced jointly by the National Oceanic and Atmospheric Administration, the U.S. Department of Agriculture, and the National Drought Mitigation Center (NDMC) at the University of Nebraska-Lincoln. The U.S. Drought Monitor website is hosted and maintained by the NDMC.

  U.S. Drought Monitor maps come out every Thursday morning at 8:30 Eastern Time, based on data through 7 a.m. Eastern Standard Time (8 a.m. Eastern Daylight Time) the preceding Tuesday. The map is based on measurements of climatic, hydrologic and soil conditions as well as reported impacts and observations from more than 350 contributors around the country. Eleven climatologists from the partner organizations take turns serving as the lead author each week. The authors examine all the data and use their best judgment to reconcile any differences in what different sources are saying.

• Dataset
  • UCDM GIS Data Archive

• The California Health and Human Services Agency (CHHS) has launched its Open Data Portal initiative in order to increase public access to one of the State’s most valuable assets – non-confidential health and human services data. Its goals are to spark innovation, promote research and economic opportunities, engage public participation in government, increase transparency, and inform decision-making.

  "Open Data" describes data that are freely available, machine-readable, and formatted according to national technical standards to facilitate visibility and reuse of published data.

• Dataset
  • CHHS Open Data Portal

• The goal of Healthy Communities Data and Indicators Project (HCI) is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The initial phase of the project (2012-2014) was a 2-year collaboration of the California Department of Public Health (CDPH) and the University of California, San Francisco (UCSF) with funding by the Strategic Growth Council (SGC), to create and disseminate indicators linked to the Healthy Communities Framework. This framework was developed by the SGC Health in All Policies Task Force with extensive public discussion and input from community stakeholders and public health organizations.

• Dataset
  • CDPH - HCI

• AskCHIS Neighborhood Edition (AskCHIS NE) provides health estimates for California's diverse population at the local level (zip codes and cities). With AskCHIS NE, you can get estimates on top health indicators for your zip code, city, county and legislative district!

• Dataset
  • AskCHIS NE
  • The Office of Health Equity(OHE) AskCHIS NE Dashboard

• This site is dedicated to making high value health data more accessible to entrepreneurs, researchers, and policy makers in the hopes of better health outcomes for all. In a recent article, Todd Park, United States Chief Technology Officer, captured the essence of what the Health Data Initiative is all about and why our efforts here are so important.
  
  "When a woman is choosing where to deliver her baby, she should be able to get on the Internet and compare the quality of care and patient satisfaction at hospitals in her area. When a doctor needs to make a patient referral, he or she should be able to find the right specialists efficiently and communicate with them easily and securely. A nurse case manager taking on the care of a chronically ill patient should be able to access instantly the latest and greatest information on how best to help that patient. When patients with serious conditions want to find clinical trials that might be relevant to them, they should both be able to do so with ease, as well as be able to sign up for proactive updates about any new clinical trial that gets launched in their area that might be relevant to them.
  
  More and more scenarios like these are now possible, thanks to the growing availability and accessibility of key health-related data resources -- and the rapidly proliferating array of innovators who are harnessing the power of these data to help improve health and health care.
• Dataset
  • HealthData.gov

• This site provides a useful list of links to health statistics and data.
• Dataset
  • Berkeley Library: Health Statistics & Data: Datasets/Raw Data

• HSR Information Central is not an index of all health services resources on the Web. Rather, it contains selective links representing a sample of available information. Items are selected for their quality, authority of authorship, uniqueness, and appropriateness.
• Dataset
  • HSRIC

• The Global Health Data Exchange (GHDx) is a catalog of global health and demographic data. The goal of the GHDx is to help people locate data by cataloging information about data including the topics covered, by providing links to data providers or explaining how to acquire the data, and in cases where we have permission, providing the data directly for download. Use the GHDx to research population census data, surveys, registries, indicators and estimates, administrative health data, and financial data related to health.
• Dataset
  • GHDx

• The San Diego Regional Data Library is dedicated to helping non profits, civic organizations, journalists and governments in the San Diego region get data they need to tell their stories and run their operations. This site, data.sandiegodata.org, is the main data repository for the Library. It holds unprocessed data sets received from other organizations, as well as data that the Library has processed to make them easier to use.

  All of the data in the library is subject to the Library's Data Disclaimers and Limitations , and data that originated with other organizations will be subject to the originators legal terms.

• Dataset
  • San Diego Regional Data Library

• The Regional GIS Data Warehouse provides data for everything from addresses to zoning, including: roads, property, parks, lakes, topography, census, and dozens of other layers - over 270 layers in 29 different categories. The public facing data are free to download after accepting the data disclaimer which is presented to each user upon entering the Regional GIS Data Warehouse.

  The data are stored as compressed "Shape" files (SHP). Metadata (information about the data) are provided in PDF format. A complete list of available layers can be downloaded as an Excel or PDF file.

• Dataset
  • SANDAG

• Your go-to data warehouse for the San Diego region. Get accurate census, estimate and forecast information and reports based on your specific needs—all in just a few clicks.
• Dataset
  • Data Surfer

• Public Crime Data in San Diego is made available by the Automated Regional Justice Information System (ARJIS). ARJIS was created as a joint powers agency to share information among justice agencies throughout San Diego and Imperial Counties, California.
• ARJIS Homepage
• Dataset
  • Public Crime Data Extract
  • Regional Crime Mapping System and Subscription Service

• R is a free software environment for statistical computing and graphics
• Homepage
• Tutorial
  • R tutorial
  • DataCamp
• Video
  • R Tutorial: Introduction to R
  • Introduction to R for Data Mining
• Books
  • An Introduction to Statistical Learning with Applications in R
• IDE
  • RStudio
• Useful links
  • R and Data Mining
  • The Open Source Data Science Masters

• Python is powerful… and fast; plays well with others; runs everywhere; is friendly & easy to learn; is open
• Homepage
• Python Documentation
  • Installation guide, tutorial, and some other tips
• Python Wiki
  • Beginners guide, list of books, learning materials, etc.
• Python Tutorial
  • Learn Python (Interactive)
  • Codecademy (Interactive)
  • Google’s Python class
• Useful Python Packages
  • Basic: numpy, scipy
  • Data Mining, data analysis, deep learning: scikit-learn, Pandas, Theano
  • Machine Learning: mlpy, PyBrain
  • Natural Language Toolkit: NLTK
  • Network: NetworkX, graph-tool
  • Webscraping: Scrapy, Beautiful Soup
  • Data Plotting: Orange, matplotlib
  • Interactive Development: IPython
  • Cross platform app development: PyQt, kivy
• Video
  • Python tutorials
  • Intro to scikit-learn
• Free Python books
  • Dive Into Python
  • Think Python
  • WIKIBOOKS: Python Programming
  • WIKIBOOKS: Python Programming (Non-programmer 2.6)
  • WIKIBOOKS: Python Programming (Non-programmer 3)
  • Pandas Cookbook

• A program language most commonly used to create dynamic web browsers
• JavaScript Tutorial
  • Learn JS (Interactive)
  • Codecademy (Interactive)
  • w3schools
• Cross-platform runtime environment
  • Node.js Tutorial
• JavaScript Libraries
  • Framework: jQuery, Dojo, AngularJS, backbone.js, Require.JS
  • UI: jQuery UI, Bootstrap
  • Data Visualization: d3, dygraphs, dataTable, morris.js
  • Time: moment.js
  • Map: OpenLayers API, Leaflet API, Google Maps API, ESRI ArcGIS JavaScript API, heatmap.js, Leaflet markerCluster

• Twitter
  • Overview
  • Tutorials: tuts
  • Tutorials: Codecademy
• Facebook
  • Overview
  • Tutorials: tuts
• Flickr
  • Overview
  • Tutorials: tuts
• Instagram
  • Overview
  • Tutorials: tuts
• Foursquare
  • Overview

• ArcGIS
  • Overview
  • Tutorial
• Google Map
  • Overview
  • Tutorials: w3schools
• Bing Map
  • Overview
  • Tutorials
• Yahoo! Maps
  • Overview
• OpenLayers
  • Overview
• USGS GAP
  • Overview

• Andriod
  • Overview
• Apple
  • Overview
  • Tutorials: Swift
  • Tutorials: Xcode
• Windows
  • Universal Windows Platform apps for Windows 10
• Cross platform app development
  • Qt
  • Corona
  • Ionic
  • AppStudio (ESRI)

• HTML5
  • Tutorials: w3schools
  • Tutorials: Udemy
  • Tutorials: Tutorials Point
• CSS3
  • Tutorials: w3schools
  • Tutorials: tuts
  • Tutorials: CSS3
• Ruby on Rails
  • Overview
  • Tutorials: Rails Tutorial
  • Tutorials: Ruby on Rails
  • Tutorials: Codecademy

• SAP BusinessObjects Predictive Analytics
  • Tutorials

• Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.
• Homepage
• Tutorial
  • Setting up with Amazon EC2
  • Getting Started with Amazon EC2
  • How to Setup Amazon Web Services EC2 Instance with Apache, PHP, MySQL
  • Amazon EC2 Setup Tutorial
  • STEP BY STEP AWS EC2 TUTORIAL

• Focus on creating amazing user experiences and forget complex infrastructure. Instantly add a powerful cloud database, push notification services, and analytics tracking to your app. Choose from over thirteen native SDKs for mobile, desktop, and IoT devices and discover all that Parse has to offer.
• Homepage
• Tutorial
  • Parse Tutorial
  • iOS and Swift Beginner Tutorial: App like Twitter using Parse Part 1
  • Getting Started with Parse
  • Adding a Cloud Backend for Your iOS App Using Parse – Part 1
  • Creating a Cloud Backend for Your Android App Using Parse

• ArcGIS Online is an online, collaborative web GIS that allows you to use, create, and share maps, scenes, apps, layers, analytics, and data. You get access to ready-to-use maps, ready-to-use apps, and Esri’s secure cloud, where you can add items and publish web layers.
• Homepage
• Tutorial
  • Videos
  • Get started with ArcGIS Online
  • ArcGIS Online Learning & Help Resources
  • ArcGIS Online Tutorials

• Dropbox is a home for all your photos, docs, videos, and files. Anything you add to Dropbox will automatically show up on all your computers, phones and even the Dropbox website — so you can access your stuff from anywhere.
• Homepage
• Tutorial
  • Dropbox Tour
  • Dropbox API

• GitHub is a Web-based Git repository hosting service, which offers all of the distributed revision control and source code management (SCM) functionality of Git as well as adding its own features.
• Homepage
• Tutorial
  • Github Help
  • Set up a Git
  • Create a repository
  • Fork a repository
  • Github Desktop
  • Getting Started with GitHub Desktop
  • Contributing to Projects with GitHub Desktop

Exemplary Key Issues:

• Disease Outbreaks and Monitoring.
• Promoting Healthy Behaviors and Exercises.
• Obesity and Food Environment.
• Cancer Registry Data and Disparities.
• Vaccine Exemption.
• Mobile Health Monitor Devices.
• Health Communication and Campaign.

Exemplary Challenging Questions:

• What are the most concerning public health issues for Californians today?
• Where can we find the data and analytical tools for the most concerning public health issues in California?
• How can we analyze public health data and provide some recommendations for intervention and policy changes?
• How can we share useful public health information and analytical tools in our local community?
• How does gentrification contribute to public health issues in California?
• What chronic diseases affect Californians and how can these conditions be managed daily?
• How can Californians maintain a daily health regimen?

• This project collects, processes and publishes datasets with information linked to tracts, communities and cities in San Diego County. The core of the project is the Census Planning Database, with modifications to restrict the data to San Diego County and and make it easier to link in other datasets.

• Dataset
  • San Diego Planning Database

• The California HealthThe California Healthy Places Index (HPI) is a powerful new tool, developed by the Public Health Alliance of Southern California, to assist you in exploring local factors that predict life expectancy and comparing community conditions across the state. The HPI provides overall scores and more detailed data on specific policy action areas that shape health, like housing, transportation, education and more.

• Dataset
  • Healthy Places Index

• The California HealthThe California Healthy Places Index (HPI) is a powerful new tool, developed by the Public Health Alliance of Southern California, to assist you in exploring local factors that predict life expectancy and comparing community conditions across the state. The HPI provides overall scores and more detailed data on specific policy action areas that shape health, like housing, transportation, education and more.

• Dataset
  • SANGIS

• The main feature of this portal is a catalog of City data. The catalog contains hundreds of downloadable files, most of which are in a tabular format that can be opened in spreadsheet software such as Microsoft Excel.

• Dataset
  • DataSD

• The main feature of this portal is a catalog of City data. The catalog contains hundreds of downloadable files, most of which are in a tabular format that can be opened in spreadsheet software such as Microsoft Excel.

• Dataset
  • Bike Route (ScaleSD)

• The main feature of this portal is a catalog of City data. The catalog contains hundreds of downloadable files, most of which are in a tabular format that can be opened in spreadsheet software such as Microsoft Excel.

• Dataset
  • Districts (SCALE SD)

• The main feature of this portal is a catalog of City data. The catalog contains hundreds of downloadable files, most of which are in a tabular format that can be opened in spreadsheet software such as Microsoft Excel.

• Dataset
  • Library (SCALE SD)

• In this data analysis project, volunteer data analysts are studying a range of public dataset to explore San Diego county water quality issues, such as beach closures and stream impairment. Volunteers join the project to learn new data analysis skills, get detailed knowledge of environmental issues, or to contribute to improving San Diego's natural resources. Anyone is welcome to participate in the project.

• Dataset
  • Water project datasets

• The AQS Data Mart is designed to make air quality data more accessible and useful to the scientific and technical community.

• Dataset
  • EPA Air Quality Data

• The California Environmental Data Exchange Network (CEDEN) is a central location to find and share information about California’s water bodies, including streams, lakes, rivers, and the coastal ocean. Many groups in California monitor water quality, aquatic habitat, and wildlife health to ensure good stewardship of our ecological resources. CEDEN aggregates this data and makes it accessible to environmental managers and the public.

• Dataset
  • California Environmental Data Exchange Network

• CalEPA's mission is to restore, protect and enhance the environment, to ensure public health, environmental quality and economic vitality. The Boards, Departments and Office within the California Environmental Protection Agency (CalEPA) have a variety of databases and related information resources available for access by the public. The Boards, Departments and Office within the California Environmental Protection Agency (CalEPA) have a variety of databases and related information resources available for access by the public.

• Dataset
  • CalAEPA

• NOAA's National Centers for Environmental Information (NCEI) is responsible for preserving, monitoring, assessing, and providing public access to the Nation's treasure of climate and historical weather data and information

• Dataset
  • Weather

• "Ecology" section, in particular for environment data

• Dataset
  • SANGIS

• The main feature of this portal is a catalog of City data. The catalog contains hundreds of downloadable files, most of which are in a tabular format that can be opened in spreadsheet software such as Microsoft Excel.

• Dataset
  • Park Location (SCALE SD)

• The main feature of this portal is a catalog of City data. The catalog contains hundreds of downloadable files, most of which are in a tabular format that can be opened in spreadsheet software such as Microsoft Excel.

• Dataset
  • San Diego Planning Database

• The California School Dashboard contains important information on schools, districts, and county offices of education to provide a more complete picture of what contributes to a positive educational experience for students.

• Dataset
  • California School Dashboard

• Data and statistics collected from California schools and learning support resources to identify trends and educational needs and to measure performance.

• Dataset
  • California Department of Education

• The College Scorecard is designed to increase transparency, putting the power in the hands of the public — from those choosing colleges to those improving college quality — to see how well different schools are serving their students. .

• Dataset
  • College Scorecard

• Data from the California Community Colleges Chancellor's Office

• Dataset
  • California Community Colleges Datamart

• Data tools from the National Center or Education Statistics

• Dataset
  • National Center for Educational Statistics

• The Statewide Integrated Traffic Records System (SWITRS) is a database that serves as a means to collect and process data gathered from a collision scene. The Internet SWITRS application is a tool by which California Highway Patrol (CHP) staff and members of its Allied Agencies throughout California can request various types of statistical reports in an electronic format. Custom reports can be created by the user to capture data relevant to specified criteria such as Jurisdiction, Location, or Annual or Quarterly reports by date.

• Dataset
  • SWITRS

• The Transportation Injury Mapping System (TIMS) has been developed over the past five-plus years by SafeTREC to provide quick, easy and free access to California crash data, the Statewide Integrated Traffic Records System (SWITRS), that has been geo-coded by SafeTREC to make it easy to map out crashes.

• Dataset
  • TIMS

• The point GIS datasets represent the traffic volumes for all count locations on the California state highway system. Peak Hour, Peak Month ADT and Annual ADT are shown at each count location.

• Dataset
  • Traffic Volumes

• Periodically, local jurisdictions collect traffic count data on significant roadways. SANDAG compiles this information to present average weekday traffic counts, which are two-way, 24-hour volumes. The table below shows roadway descriptions and five-year (2009-2013) volumes.

• Dataset
  • San Diego Traffic Volumes

• Downloadable GIS data created by Caltrans in zipped shapefile format. The download link is located at the bottom of each data description page. Please read the description and data disclaimer prior to downloading. You can also interactively view data, create maps, and print out the results using our Preview Data Online mapping tools.

• Dataset
  • CalTrans GIS

• The 2010–2012 California Household Travel Survey (CHTS) collected demographics and travel behavior characteristics for a multi-modal study of residents across the entire state. At the time, it was the largest such regional or statewide survey ever conducted in the United States.

• Dataset
  • California Transportation Survey

• Traffic Census Program: TRAFFIC COUNTS (a.k.a. Traffic Volumes) are for the State Highway System only (in various formats). 4 categories Peak Hour Volumes, Rampl Volumes, Truck Traffic, Traffic Volumes

• Dataset
  • Historical Traffic Volumes

• This is the San Diego region's public platform for exploring and downloading open spatial data. Discover our Open Datasets, GIS services and web mapping applications that are helping us make our great community even better, together!

• Dataset (SCALE SD)
  • Neighborhood GIS

• NOAA OneStop provides enhanced collection and granule searching for only those datasets archived at the National Centers for Environmental Information (NCEI). Emphasis is on both improved search relevancy and overall user experience.

• The NOAA Data Catalog is an inventory of all NOAA data collections. The user interface allows web-based searching by keywords and other attributes; machine-to-machine searching is available using the OGC CSW protocol (Open Geospatial Consortium Catalog Service for the Web).

• Dataset (SCALE SD)
  • Historical Weather I

• Find historical weather by searching for a city, zip code, or airport code.

• Dataset (SCALE SD)
  • Historical Weather II

• The Centers for Medicare & Medicaid Services (CMS) provides synthetic data files for public use to allow researchers and entrepreneurs to create software and applications based on synthetic data designed to promote safe data mining activities. Data elements include national demographic, clinical, and economic or financial data associated with healthcare services billed for by the federal government.

• Dataset
  • CMS synthetic data
  • CMS synthetic data Codebook

• CCR provides cancer statistics for California as a whole, statistics for specific regions of California, and statistics for individual counties..

• Dataset
  • California Cancer Registry

• COVID19.CA.GOV provides the Covid-19 related data including cases and deaths by ethnicity, gender, and age, Unvaccinated and vaccinated data

• Dataset
  • Tracking COVID-19 in California

• The Office of Health Equity (OHE) dashboard to investigate local-level disparities in health and social determinants of health in California. All data is available at AskCHIS NE.

• Dataset
  • OHE AskCHIS NE Dashboard

• The California Health and Human Services Agency(CHHS) Open Data Portal provides public access to one of the State’s most valuable assets – non-confidential health and human services data.

• Dataset
  • California HHS Data Portal

• This section contains the most recent demographic, economic, behavioral, and health data available by Region and community. For example, you can find the size of a particular population in the County, the median income in a specific community, the percentage of San Diegans who are current smokers and the rate of death due to stroke among a particular age group.

• Dataset
  • San Diego County HHS

• The Community Health Statistics Unit(CHSU) provides health statistics that describe health behaviors, diseases and injuries for specific populations, in addition to health trends and comparisons to national targets.

• Dataset
  • Community Health Statistics Unit

• The Consumer Expenditure Surveys (CE) program provides data on expenditures, income, and demographic characteristics of consumers in the United States. The CE program provides these data in tables, databases, news releases, reports, and public use microdata files.

• Dataset
  • Consumer Expenditures Survey

• This is the San Diego region's public platform for exploring and downloading open spatial data. Discover our Open Datasets, GIS services and web mapping applications that are helping us make our great community even better, together!

• Dataset (SCALE SD)
  • Neighborhood GIS (Food Desert)

• The California Health and Human Services Agency (CalHHS) has launched an Open Data Portal to provide public access to non-confidential health and human services data. The initiative aims to foster innovation, promote research, boost economic opportunities, engage public participation, enhance government transparency, and support informed decision-making. Open Data refers to freely available, machine-readable data, formatted according to national technical standards for easy visibility and reuse.

• Dataset (Cal HHS)
  • Cal HHS

• The main feature of this portal is a catalog of City data. The catalog contains hundreds of downloadable files, most of which are in a tabular format that can be opened in spreadsheet software such as Microsoft Excel.

• Dataset
  • Street Light locations(SCALE SD)

• Basic GIS layers from SANDAG data warehouse, including the boundary of San Diego County, ZipCode boundary, highways, hospitals, schools, transit stops, etc.

• Dataset
  • SD-SANDAG-BaseData
  
  

• Maintained by the City of San Diego, 311 Data - Reports submitted by using [Get It Done], a mobile/web app launched in May 2016 for citizens reporting non-emergency problems (e.g., parking issues, graffiti, illegal dumping, potholes, etc.). The data only cover the City of San Diego within the City boundary. There are 186,015 reports related to Homelessness Encampment from 2018/08 to 2023/12, Avg. 100 per day. Current 311 Encampment Reports are maintained by Homelessness Hub @ UC San Diego. Attributes include: Date Requested, Date Closed, Address, Latitude, Longitude, and Public_Description (texts). 311 Datasets are yearly Shapefiles – individual reports (dates) cross the whole year. The folder includes 2021, 2022, 2023, and 2024 datasets.

• Dataset
  • SD-311-Encampment_Reports (point data)
  
  

• This monthly dataset is created by the Down Town San Diego Partnership. New Data is updated from UCSD (provided by Julie Wartell). DTP_Jan2014_Dec2024 (Shapefiles). Since 2014, Downtown San Diego Partnership (DSDP) has been conducting an observational count of the unsheltered homeless in Downtown San Diego monthly on paper maps. DSDP manually annotates the counts, tallies the results and uploads pdf of the scans of the paper maps with tabulated data on their website. GIS team at UCSD converted these data into GIS format. In 2025, our SDHEART team (Arnav, Katie, and Ming) started to use computer vision and deep learning methods to read count information from paper maps, geotag and map the counts on a GIS map for each month for all the 10 regions of downtown San Diego (from Jan 2025 to May 2025) in “2025-DTP” folder.

• Dataset
  • SD-Downtown-Survey-Monthly (points)
  
  

• (Mainly focus on downtown areas). Our research team utilizes high-resolution aerial imagery (NAIP (0.6m) and Hexagon dataset (0.15m)) and deep learning models (ResNet-50 and Faster R-CNN) with transfer learning methods to identify and map homeless encampments. The models are first pretrained on the ImageNet dataset and then fine-tuned using manually annotated NAIP and Hexagon imagery. This process involves data augmentation, image segmentation into smaller tiles, and careful annotation to enhance detection accuracy. Once fine-tuned, the models are used to generate predictions of homeless tent locations, which are then converted into GIS data format to reveal their spatial patterns.

• Dataset
  • SD-GeoAI-Detection-Aerial-Photos
  
  
  
  

• The Point in Time Counts is the official homeless survey conducted annually by Regional Task Force for Homeless (RTFH). These datasets are the aggregated shapefiles with the PITC numbers by Census Tract. These shapefiles represent the geographic boundaries of census tracts in San Diego and the total count of unsheltered homeless encampments in each tract. The files are available for 2010, 2013, 2014, 2018, 2020, and 2024. The shapefiles include the spatial data and attribute fields relevant to the count. The attribute fields are as follows: objectid, geoid, Census Tract, Shape_Area, Shape_Length, and TotalCount. Attribute names are limited to 10 characters due to the ESRI shapefile format.

• Dataset
  • SD-PITC Encampment Density (Census Tracts)
  
  

• San Diego has established multiple Safe Sleeping Lots and Safe Parking Locations to provide temporary shelter solutions for individuals experiencing homelessness. These sites serve as designated areas where people can set up tents or park their vehicles safely while also gaining access to basic services such as restrooms, security, and social assistance. Locations of the Safe Sleeping Lots & Shelters: https://www.sandiego.gov/homelessness-strategies-and-solutions/services/safe-sleeping-program

• Dataset
  • SD-Shelter-Locations-2025
  
  

• American Community Survey (ACS) 5 Year Estimates for 2013, 2014, 2018, and 2020. (at Census Tract and ZipCode level) with 51 socioeconomic variables. To create these shapefiles, R and the “tidycensus” package were utilized, along with a Census API key. Information was collected using the American Census Survey’s correlating variable codes. Each shapefile contains population, socioeconomic status, and demographic data for San Diego County. These ACS datasets include three spatial scales: Zip Code Tabulation Area (ZCAT), census tracts, and census block groups (CBG). ZCTA is defined by the United States Census Bureau as “generalized areal representations of the geographic extent and distribution of the point based Zip Codes”. All ZCTAs are identified with a valid United States Zip Code. A block group is made up of small clusters of blocks which are within the same Census Tract.

• Dataset
  • SD-Neighborhood-ACS