CWHR Predicted Habitat Models represent areas of predicted suitable habitat for each species within its range. These models are built from the following principal inputs: 1) a statewide, best-available vegetation map (FVEG); 2) GIS data representing a species’ range; 3) the CWHR database of habitat suitability values for over 700 terrestrial vertebrate species. Habitat suitability ranks of Low (non-zero values less than 0.34), Medium (0.34-0.66), and High (greater than 0.66) are based on the maximum suitability value across the 3 species life requisites: reproduction, feeding, and cover. Note that previous versions of these Predicted Habitat Models used an average across the 3 life requisites in order to obtain an overall suitability score for each habitat type and stage class. Habitat suitability scores were developed based on habitat patch sizes greater than 40 acres in size and are best interpreted for habitat patches greater than 200 acres in size. The FVEG landcover dataset is an aggregation of multiple statewide landcover and regional vegetation mapping efforts, conducted at different points in time (approximately 1990 up to time of publishing) and at various resolutions, compiled by the California Department of Forestry and Fire Protection (CALFIRE). FVEG uses the most current and consistent data available for each region of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Crosswalks were used to attribute the various data sources according to the CWHR habitat-type classification system. Attributing FVEG with CWHR habitat types allows for the extraction of areas with non-zero suitability values for each species within the bounds of its range, creating a series of maps of predicted suitable habitat which are species-specific. Because FVEG is an amalgam of disparate landcover assessment efforts across the state, the predictive power for determining suitable habitat will vary between species, and possibly even regionally for species which are widely distributed. While these maps represent CDFW’s best estimate of the presence of suitable habitat for any given species in the CWHR system, these maps are also limited by several factors: 1) the accuracy and resolution of vegetation maps in a given region; 2) the dynamic nature of the landscape in which fire and other disturbance events alter conditions at a greater frequency than mapping efforts can track; 3) the currency of expert knowledge, particularly as species adapt to changing land and climate conditions and the shifting of other species’ ranges; 4) the frequency of species-specific surveys across a representative sample of a species’ entire range; 5) metapopulation dynamics, which describes the shifting of populations within their environment as result of numerous types of interactions and responses. CWHR GIS data representing predicted suitable habitat should not be used to indicate the presence or absence of a particular species at any specific site. CWHR predicted habitat models are named according to the 4-character alpha-numeric CWHR ID assigned to each species (5 characters in the case of subspecies or other sub-taxa). There is also a “CWHR Revision Tracking Table” containing a record for each species, its CWHR ID, scientific name, common name, and range and habitat model data revision history. CWHR species range models, predicted habitat models, and GIS data of the statewide distribution of all CWHR habitat types, along with the CWHR revision tracking table, are available for download at https://www.wildlife.ca.gov/Data/CWHR.
California Department of Fish and Wildlife
Mule Deer Predicted Habitat - CWHR M181 [ds2625]
California Department of Fish And Wildlife
california department of fish and wildlife
California Department of Tax and Fee Administration sales and use tax rates by jurisdiction. This data is used by the Find Your Tax Rate application to determine the tax rate of an address. https://maps.cdtfa.ca.gov . There are two layers. Layer 1 is the main tax rate map and layer 0 contains additional Tax Area Code (TAC) field with additional geometry for redevelopment areas.
California Department of Tax and Fee Administration
california department of tax and fee administration
Notices of Availability of surplus locally owned land and description of each site/parcel. Notices are submitted to HCD by local public agencies (includes cities, counties, special districts, and certain other entities) disposing of land as per AB1486, pursuant to Government Code Section 54221. Data is self-reported by the local public agency. HCD does not independently verify information reported by agencies in their Notices of Availability.
Surplus Land Act Notices of Availability Received
The dataset contains racial/ethnic data for California's legislators since the end of the 2015-2016 legislative session through those elected for the current session and data on sex since 1919. An interactive visual for this dataset is available at https://public.tableau.com/views/LegislativeDemographics2021-22/UserView and https://www.library.ca.gov/crb/reports/
Demographics in the California Legislature
Dictionary: AA = African American API = Asian Pacific Islander D = Democratic Party I = A political party other than Democratic or Republican or no political party Hispanic = Hispanic/Latino/Latina Multi = Multiple Races NA = Native American R = Republican Party White = White Alone Column Headings: Term = Each two year term beginning with 1919-20 through 2025-26 Start/End = Start or End; indicates whether the member served at the start or end of the term. A member who served the entire term will have an entry for both start and end. This indicates changes due to special elections. House = California State Senate or California State Assembly District = Number reflects the district number. For example: For Brian Dahle, "1" represents "District 1" It is a senate district because the house column for Brian Dahle is "Senate" First = First Name Last = Last Name Race_Ethnicity = AA, API, Latino, Multi, NA, White Gender = Male, Female Party = D, R, I Notes: "White" indicates white alone, while "Multi" indicates members with multiple racial/ethnic backgrounds other than white.
This dataset contains the vendor name and location of all currently active vendors authorized to offer supplemental foods to participants for redemption with WIC food instruments and vouchers. The Women, Infants and Children (WIC) Program is a federally-funded health and nutrition program that provides assistance to pregnant women, new mothers, infants and children under age five. WIC helps California families by providing food instruments and vouchers that can be used to purchase healthy supplemental foods from over 4000 WIC-authorized vendor stores throughout the State. WIC also provides nutritional education, breastfeeding support and help finding healthcare and other community services. Participants must meet income guidelines and other criteria. Currently, 84 WIC agencies provide services monthly to over 1.45 million participants at over 650 sites in local communities throughout the State. For a mobile friendly site on WIC vendors and other WIC-related information visit: https://m.wic.ca.gov/
Women, Infants and Children (WIC) Authorized Vendors
The Women, Infants and Children (WIC) Program is a federally-funded health and nutrition program that provides assistance to pregnant women, new mothers, infants and children under age five. WIC helps California families by providing food instruments and vouchers that can be used to purchase healthy supplemental foods from over 4000 WIC-authorized vendor stores throughout the State. WIC also provides nutritional education, breastfeeding support and help finding healthcare and other community services. Participants must meet income guidelines and other criteria. Currently, 84 WIC agencies provide services monthly to over 1.45 million participants at over 650 sites in local communities throughout the State.
Women, Infants and Children (WIC) Authorized Vendors (CSV)
The power outages in this layer are pulled directly from the utility public power outage maps and is automatically updated every 15 minutes. This dataset represents only the most recent power outages and does not contain any historical data. The following utility companies are included: Pacific Gas and Electric (PG&E) Southern California Edison (SCE) San Diego Gas and Electric (SDG&E) Sacramento Municipal Utility District (SMUD) Layers included in this dataset: Power Outage Incidents - Point layer that shows data from all of the utilities and is best for showing a general location of the outage and driving any numbers in dashboards. Power Outage Areas - Polygon layer that shows rough power outage areas from PG&E only (They are the only company that feeds this out publicly). With in the PG&E territory this layer is useful to show the general area out of power. The accuracy is limited by how the areas are drawn, but is it good for a visual of the impacted area. Power Outages by County - This layer summaries the total impacted customers by county. This layer is good for showing where outages are on a statewide scale. If you have any questions about this dataset please email GIS@caloes.ca.gov
Cumulative Statewide Power Outages Public View
Statewide Property Inventory started in 1989 per legislation 11011.15, to begin a pro-active approach to managing the State’s Real Property assets in a computerized format. Having the information in an electronic format makes it available to top level decision-makers considering options for the best use of these assets. The Statewide Property Inventory is mandated to capture detailed information on the following: land owned and leased by the state, structures owned and leased by the state, property the state leases to the private sector. Statewide Property Inventory was established in 1988 by legislative mandate. Leases were added in 2004 by executive order. Data is updated annually by the agencies. Point of Contact: Any questions should be referred to the SPIWeb@dgs.ca.gov
california department of general services
This map includes change areas for city and county boundaries filed in accordance with Government Code 54900. The initial dataset was first published on October 20, 2021, and was based on the State Board of Equalization's tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax jurisdictions. The boundaries are continuously being revised when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions and should not be used to determine precise city or county boundary line locations. The data is updated within 10 business days of the CDTFA receiving a copy of the Board of Equalization's acknowledgement letter. BOE_CityAnx Data Dictionary: COFILE = county number - assessment roll year - file number (see note*); CHANGE = affected city, unincorporated county, or boundary correction; EFFECTIVE = date the change was effective by resolution or ordinance (see note*); RECEIVED = date the change was received at the BOE; ACKNOWLEDGED = date the BOE accepted the filing for inclusion into the tax rate area system; NOTES = additional clarifying information about the action. *Note: A COFILE number ending in "000" is a boundary correction and the effective date used is the date the map was corrected. BOE_CityCounty Data Dictionary: COUNTY = county name; CITY = city name or unincorporated territory; COPRI = county number followed by the 3-digit city primary number used in the Board of Equalization's 6-digit tax rate area numbering system (for the purpose of this map, unincorporated areas are assigned 000 to indicate that the area is not within a city).
These polygons depict vegetation management projects implemented under the CalVTP programmatic EIR. They can be fuel breaks in non-WUI or WUI or vegetation treatment projects for ecological restoration. For more information, visit the <a href='https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcalfire-umb05.azurewebsites.net%2Fprojects-and-programs%2Fcalvtp-homepage-and-storymap%2F&data=05%7C02%7CTiffany.Meyer%40fire.ca.gov%7C6147a8bb77e143a223a008dd72fdb97e%7C447a4ca05405454dad68c98a520261f8%7C1%7C0%7C638793156239419581%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=w2o5HjHP2Kb2dtAztCFoMAyL8hJ4RENVy86AvAjhziY%3D&reserved=0' rel='nofollow ugc'>CalVTP Homepage and Storymap.
California Department of Forestry and Fire Protection
__Data is from the California Department of Public Health (CDPH) Respiratory Virus Dashboard.__ The respiratory virus dashboard shows statewide and regional, weekly data for the following conditions: - COVID-19 - Influenza - Respiratory Syncytial Virus (RSV) This dashboard provides an overview of respiratory virus activity (test positivity, flu typing, emergency department visits) and severity (hospital admissions, deaths, and pediatric deaths). The data update most Fridays but may change in future updates as more information becomes available.
Division of Communicable Disease Control
Per AB132 grantmakers are required to submit data about each awardee for grants that close on or after July 1, 2022. Visit the Glossary on https://www.grants.ca.gov/glossary to review post award data elements. You can view post award data at the bottom of the grant details page. Note that grantmakers may take up to one year to submit post award data. This grant award data is only for Fiscal Year 2024-2025.
California Grants Portal Grant Awards 2024-2025
California Grants Portal Grant Awards 2024-2025 - Updated Daily
The Enhanced Predatory Fish Removal and Relocation Study (EPFRRS) was developed as part of the proposed action during the 2019 Reinitiation of Consultation on Long-Term Operation of the Central Valley Project and State Water Project with the National Marine Fisheries Service (NMFS) (ROC on LTO) and was included in the Incidental Take Permit for the State Water Project (SWP ITP). The goal of EPFRRS is to use the most successful methods from previous studies, such as the Predator Reduction Electrofishing Study (PRES) and the Predatory Fish Relocation Study (PFRS), to reduce predation on protected fish species in Clifton Court Forebay (CCF), primarily juvenile Chinook Salmon and steelhead. The 2021 field season of EPFRRS ran from March 8 through May 12, following a two-month delay due to the COVID-19 pandemic. Additionally, there was a 2-week pause during the field season, beginning on April 14 and running through April 27, due to COVID-19 concerns. There were four gear types used during the 2021 field season; electrofishing, beach seine, hoop traps, and hook-and-line.
California Department of Water Resources
2021 Enhanced Predatory Fish Removal and Relocation Study
california department of water resources
Electrofishing consisted of two boats focusing on hotspots identified during PRES. The beach seine was a 2000 ft seine that was the most effective of the two seines used during PFRS. Hoop traps were deployed, then retrieved after 24-48 hours of passive fishing. Hook-and-line was intended to focus on areas that were inaccessible to other gear types or where other gear types might be less efficient. Predatory fish removed included black basses, Striped Bass, catfish, and sunfish. However, sunfish were removed opportunistically and were not specifically fished for. Fieldwork was scheduled for four days a week, Monday through Thursday, each week. However, fieldwork was canceled if weather presented unsafe working conditions. In total, field work was conducted on 26.5 days during the field season.
This dataset contains information on all non-confidential assets within the California State Vehicle Fleet. The purpose of this data is to provide vehicle information including sustainability measurements such as fuel types. The data is extracted from the Fleet Asset Management System utilized by the Department of General Services’ Office of Fleet and Asset Management. The dataset covers the timeframe from the calendar year 2015 until the calendar year 2025 and includes vehicle information reported by all agencies under the executive branch and constitutional offices.
The California Protected Areas Database (CPAD) is a GIS database of lands that are owned in fee and protected for open space purposes by over 1,000 public agencies or non-profit organizations. It is the authoritative GIS database of parks and open space in California. CPAD is maintained and published by GreenInfo Network (www.greeninfo.org). GreenInfo Network publishes CPAD twice annually.
Super Units displayed by agency level (Federal, Non Profit, State, Special District, County, City, or Private). The California Protected Areas Database (CPAD) is a GIS inventory of all protected park and open space lands in California. Learn more at www.calands.org. CPAD is managed and published by the non profit GreenInfo Network.
ArcGIS REST Service: CPAD Super Units by Agency Level
Units displayed by access type (Open Access, Restricted Access, No Public Access, and Unknown Access). The California Protected Areas Database (CPAD) is a GIS inventory of all protected park and open space lands in California. Learn more at www.calands.org. CPAD is managed and published by the non profit GreenInfo Network.
ArcGIS REST Service: CPAD Units by Access Type
Holdings displayed by agency level (Federal, Non Profit, State, Special District, County, City, or Private). The California Protected Areas Database (CPAD) is a GIS inventory of all protected park and open space lands in California. Learn more at www.calands.org. CPAD is managed and published by the non profit GreenInfo Network.
ArcGIS REST Service: CPAD Holdings by Agency Level
Includes CPAD 2026a Holdings, Units, and SuperUnits shapefiles, and the CPAD Database Manual.
California Protected Areas Database 2026a Release
Units displayed by agency level (Federal, Non Profit, State, Special District, County, City, or Private). The California Protected Areas Database (CPAD) is a GIS inventory of all protected park and open space lands in California. Learn more at www.calands.org. CPAD is managed and published by the non profit GreenInfo Network.
ArcGIS REST Service: CPAD Units by Agency Level
Units displayed by owning agency classification ('LAYER' field). The California Protected Areas Database (CPAD) is a GIS inventory of all protected park and open space lands in California. Learn more at www.calands.org. CPAD is managed and published by the non profit GreenInfo Network.
ArcGIS REST Service: CPAD Units by Agency Classification
Super Units displayed by owning agency classification ('LAYER' field). The California Protected Areas Database (CPAD) is a GIS inventory of all protected park and open space lands in California. Learn more at www.calands.org. CPAD is managed and published by the non profit GreenInfo Network.
ArcGIS REST Service: CPAD Super Units by Agency Classification
Holdings displayed by owning agency classification ('LAYER' field). The California Protected Areas Database (CPAD) is a GIS inventory of all protected park and open space lands in California. Learn more at www.calands.org. CPAD is managed and published by the non profit GreenInfo Network.
ArcGIS REST Service: CPAD Holdings by Agency Classification
Super Units displayed by access type (Open Access, Restricted Access, No Public Access, and Unknown Access). The California Protected Areas Database (CPAD) is a GIS inventory of all protected park and open space lands in California. Learn more at www.calands.org. CPAD is managed and published by the non profit GreenInfo Network.
ArcGIS REST Service: CPAD Super Units by Access Type
Holdings displayed by access type (Open Access, Restricted Access, No Public Access, and Unknown Access). The California Protected Areas Database (CPAD) is a GIS inventory of all protected park and open space lands in California. Learn more at www.calands.org. CPAD is managed and published by the non profit GreenInfo Network.
ArcGIS REST Service: CPAD Holdings by Access Type
Pronghorn Predicted Habitat - CWHR M182 [ds2626]
Sierra Nevada Red Fox (Southern Cascades DPS) Predicted Habitat - CWHR M147d [ds3361]
Sierra Nevada red fox - Southern Cascades DPS
This dataset contains counts of live births for California as a whole based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period. The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.
California Department of Public Health, Center for Health Statistics and Informatics, Vital Statistics Branch
This data table reports the statewide monthly number of births that occurred in California regardless of the place of residence (by occurrence) and births to California residents regardless of where they occurred (by residence).
1960-2024 Final Births by Month Statewide
This data table reports the provisional monthly number of births that occurred in California regardless of the place of residence (by occurrence). __Provisional counts are based on the records available when the data was retrieved, given by Data\_Extract\_Date, and may not represent all births that occurred during the time period.__
2025-2026 Provisional Births by Month Statewide
This data table reports the statewide annual number of births that occurred in California regardless of the place of residence (by occurrence) and births to California residents regardless of where they occurred (by residence).
1960-2024 Final Births by Year Statewide
California Sea-Lion Predicted Habitat - CWHR M170 [ds2621]
<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 10px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspx <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 10px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses and certifies more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a CDPH data system created to manage state licensing-related data and enforcement actions. This file includes California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification. <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 10px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. Facility geographic variables are updated monthly, if latitude/longitude information is missing at any point in time, it should be available when the next time the Open Data facility file is refreshed. <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 10px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Please note that the file contains the data from ELMS as of the 11th business day of the month. See DATA_DATE variable for the specific date of when the data was extracted.
Licensed and Certified Healthcare Facilities
Use GTFS schedule trips, stop_times, shapes, and stops to estimate whether corridor segments have scheduled headways of 20 minutes or less.
The Groundwater Sustainability Plan (GSP) Monitoring dataset contains the monitoring sites and associated groundwater level, subsidence or streamflow measurements collected by Groundwater Sustainability Agencies (GSA) during implementation of their GSP. All data is submitted to the Department of Water Resources (DWR) through the Sustainable Groundwater Management Act (SGMA) Portal’s Monitoring Network Module (MNM). The GSP Regulations established the monitoring network criteria (23 CCR § 354.34) and the data and reporting standard for monitoring sites and measurements (23 CCR § 352.4). The data fields associated with these datasets were created by DWR to ensure that GSAs electronically submit monitoring site and measurement data which meets the GSP Regulation’s data and reporting standards. For additional information regarding GSAs, GSPs, and SGMA related monitoring, please view DWR’s SGMA Portal Resources at https://sgma.water.ca.gov/portal/.
GSP Monitoring Sites (New - Under Development)
Sustainability Management Criteria (SMC) (New - Under Development)
This service is under development as part of ongoing enhancements to the SGMA Data Viewer and CalGW Live. Once the format is finalized, the service will be hosted at https://gis.water.ca.gov/arcgis/rest/services/. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data.
Ecological Particle Tracking Model (ECO-PTM) is an individual-based juvenile salmonid migration and survival model.
Ecological Particle Tracking Model (ECO-PTM)
The Department of Water Resources Modeling Support Office, in collaboration with the United States Geological Survey (USGS), has developed an individual-based ecological particle tracking model (ECO-PTM). Based on a random walk theory, the model tracks individual particles’ travel time, routing and survival in a flow field simulated by the Delta Simulation Model 2 hydrodynamic module (DSM2 HYDRO). The random walk particles are parameterized to have fish-like swimming behaviors including upstream/downstream swimming, probabilistic holding behaviors, and stochastic swimming velocities. Particle routing at key junctions is based on well-established statistical models, and route-specific survival is calculated using the XT mean free-path length model. Behavioral parameters were estimated by fitting several competing models to a multiyear dataset of travel times from acoustic tagged juvenile salmon. The model’s baseline simulations under historical flow conditions from 1991 to 2016 successfully replicated essential relationships between salmon outmigration survival and hydrodynamic conditions, consistent with previous studies and the STARS (Survival Travel Time and Routing Simulation) statistical simulation model. The paper and the supplementary materials detailing the model are available here.
ECO-PTM 0.0.0-beta https://github.com/CADWRDeltaModeling/ecoptm Version ECO-PTM 0.0.0-beta is an updated release of DSM2 v8.4 ECO-PTM that includes several major enhancements. New capabilities include simulation of juvenile Chinook salmon fate and survival for fish entering the Delta from the San Joaquin River at Vernalis, improved representation of fish responses to leakage flows at barriers, and a modular architecture that allows users to incorporate specialized routing models. The model is now platform-independent, with legacy C/C++/Fortran components replaced by Java. Additional improvements include tools for visualization and animation of fish particle fate, comparison of simulation results across management alternatives, and utilities for converting legacy input files to the new format.
The Clifton Court Forebay (CCF) Predator Reduction Electrofishing Study (PRES) was implemented in response to the National Marine Fisheries Service (NMFS) letter dated April 9, 2015, requiring that the California Department of Water Resources (DWR) immediately implement interim measure (a) of condition 3 as part of the larger effort to comply with Reasonable and Prudent Alternative (RPA) Action IV.4.2(2) of the 2009 Biological Opinion and Conference Opinion on the Long-term Operations of the Central Valley Project and State Water Project. The PRES length was three years, beginning with a pilot year effort in 2016, a 2017 effort to refine methods and determine the main factors affecting predator catch, and the 2018 effort focused on maximizing predator removal based on knowledge gained during the 2016 and 2017 campaigns. The PRES involved electroshocking and removing predators from CCF and transporting them to Bethany Reservoir with the goal of decreasing pre-screen loss of protected fish species with an emphasis on Chinook Salmon and steelhead. During the 2018 field effort we focused on maximizing removal of predatory fish based on lessons learned and recommendations from the 2016 and 2017 efforts. Effort increased by fishing 4 days per week using 3 concurrent electrofishing boats (2017 field work used 2 boats on 3 days per week). Fishing removals focused primarily on the locations with highest catch rates identified in 2017: the Intake Canal, Scour Hole, and shore lines. In addition, sunfish species were added to the list of predatory fish removed.
2018 Clifton Court Forebay Predator Reduction Electrofishing Study
Electrofishing occurred at CCF on 54 days between January 8 and May 3, 2018. During the 54 field days, there was a total of 329 hours of active electrofishing, when electricity was being applied to the water column, for a total of 431 hours on the water.
This dataset contains California certified electricians and electrician trainees lists maintained by the Department of Industrial Relation's Electrician Certification Unit. ***For questions regarding your license please contact: ECUINFO@dir.ca.gov**
DIR Electrician Certification Unit (ECU)
In California, water systems serving one (1) to 15 households are regulated at the county level. Counties vary in their practices, but rarely do counties collect data regularly from these systems. Even where data is collected, it is entirely voluntary. A review of well permit information suggests there are over 1 million such water systems in California. In early 2014, a cross-agency Work Group created an easily accessible reporting system to get more systematic data on which parts of the state had households at risk of water supply shortages. The initial motivation for local water supply systems to report shortage information was to obtain statewide drought assistance. The reporting system receives ongoing reports of shortages from local, state, federal and non-governmental organizations, and tracks their status to resolution. While several counties have developed their own tracking mechanisms, this data is manually entered into the reporting system. The cross-agency team, led by DWR, seeks to verify and update the data submitted. However, due to the volunteer nature of the reporting and limitations on reporting agencies, collected data are undoubtedly under-representative of all shortages to have occurred. In addition, reports are received from multiple sources and there are occasionally errors and omissions that can create duplicate entries, non-household water supply reporting, and under-reporting. For example, missing information or no data for a given county does not necessarily mean that there are no household water shortages in the county, rather only that none have been reported to the State.
The Dry Well Reporting System is for use by individuals not served by a public water system experiencing problems with their water supply and agencies receiving calls from those individuals. How is this information going to be used? This information is intended to inform state and local agencies on drought impacts on household water supplies. The Household Water Supply Shortage Reporting System was first created as part of our emergency response efforts to previous droughts, and we are continuing to gather information relating to shortages of household water from private well or surface water sources. Collection of data is not to be construed as application for local, state or federal assistance. Individuals interested in financial assistance will be directed towards appropriate resources. Data Collection Entails: - Contact information for Household experiencing water shortage - Water Shortage Problem Information and Location - Financial Resources Available - Well Log Data (optional) - Reporting Agency or Local Government Information
Bighorn Sheep Predicted Habitat - CWHR M183 [ds2627]
The California Conservation Easement Database (CCED) contains lands protected under conservation easements. It is a parallel data set to the California Protected Areas Database (CPAD), which covers protected areas owned in fee. The first version of the CCED database was released in April 2014, the latest update is from June 2026. CCED is maintained and published by GreenInfo Network (www.greeninfo.org). GreenInfo Network publishes CCED twice annually.
California Conservation Easement Database
California Conservation Easement Database 2026a, displayed by Access.
ArcGIS REST Service: CCED by Access Type
Includes a shapefile of the CCED 2026a release, and the CCED Database Manual.
California Conservation Easement Database 2026a
Northern Elephant Seal Predicted Habitat - CWHR M173 [ds2623]
Foothill Yellow-Legged Frog (South Sierra DPS) Predicted Habitat - CWHR A043e [ds3354]
foothill yellow-legged frog - south Sierra DPS
The California Department of Water Resources (DWR) discrete (vs. continuous) water quality datasets contains DWR-collected, current and historical, chemical and physical parameters found in routine environmental, regulatory compliance monitoring, and special studies throughout the state.
Some simple approaches to querying large csv datasets on CNRA Open Data.
Period of record for water quality data by station and parameter ### Parameters List (for search results): Aminomethyl)phosphonic acid, *No Lab Analyses (Field Measures Only), 1,1,1,2-Tetrachloroethane, 1,1,1-Trichloroethane, 1,1,2,2-Tetrachloroethane, 1,1,2-Trichloroethane, 1,1,2-Trichlorotrifluoroethane, 1,1-Dichloroethane, 1,1-Dichloroethene, 1,1-Dichloropropene, 1,2,3-Trichlorobenzene, 1,2,3-Trichloropropane, 1,2,4-Trichlorobenzene, 1,2,4-Trimethylbenzene, 1,2-Dibromo-3-chloropropane (DBCP), 1,2-Dibromoethane (EDB), 1,2-Dichlorobenzene, 1,2-Dichloroethane, 1,2-Dichloropropane, 1,3,5-Trimethylbenzene, 1,3-Dichlorobenzene, 1,3-Dichloropropane, 1,4-Dichlorobenzene, 1-Naphthol, 100-Day Biochemical Oxygen Demand, 2,2-Dichloropropane, 2,3,6-Trichlorobenzoic Acid, 2,3,7,8-Tetrachlorodibenzo-p-dioxin, 2,3-Dibromopropionic acid, 2,4,5-T, 2,4,5-TP (Silvex), 2,4-D, 2,4-DB, 2-Chloroallyl diethyldithiocarbamate (CDEC), 2-Chlorotoluene, 3-Hydroxycarbofuran, 4,4'-Dibromoctafluorobiphenyl, 4-Bromofluorobenzene, 4-Chlorotoluene, 4-Day Biochemical Oxygen Demand, 4-Isopropyltoluene, 5-Day Biochemical Oxygen Demand, 6-Day Biochemical Oxygen Demand, 7-Day Biochemical Oxygen Demand, Acenaphthene, Acenaphthylene, Acephate, Acifluorfen, Alachlor, Aldicarb, Aldicarb sulfone, Aldicarb sulfoxide, Aldrin, Allethrin, Aminomethylphosphonic Acid (AMPA), Anthracene, Asbestos, Chrysotile, Atrazine, Atrazine-Simazine Mix, Azinphos methyl (Guthion), BHC, BHC-alpha, BHC-beta, BHC-delta, BHC-gamma (Lindane), Benfluralin, Bentazon, Benz(a)anthracene, Benzene, Benzo(a)pyrene, Benzo(b)fluoranthene, Benzo(ghi)perylene, Benzo(k)fluoranthene, Bicarbonate (HCO3-), Bifenthrin, Biochemical Oxygen Demand, Bis(2-ethylhexyl) adipate, Bromacil, Bromide, Bromobenzene, Bromochloroacetic Acid (BCAA), Bromochloroacetonitrile, Bromochloromethane, Bromodichloromethane, Bromoform, Bromomethane, Butachlor, Butyl benzyl phthalate, Captafol, Captan, Carbaryl, Carbofuran, Carbon tetrachloride, Carbonaceous Biochemical Oxygen Demand, Carbophenothion (Trithion), Chemical Oxygen Demand (COD), Chlordane, Chlorinated Hydrocarbons (General), Chlorobenzene, Chloroethane, Chloroform, Chloromethane, Chlorophyll a, Chloropicrin, Chloropropham, Chlorothalonil, Chlorpropham, Chlorpyrifos, Chorpropham, Chrysene, Clostridium perfringens, Color, Conductance, Cryptosporidium, Cyanazine, Cyanide, Cyfluthrin, Cypermethrin, DDD (all isomers), DDE (all isomers), DDT (all isomers), Dacthal (DCPA), Dalapon, Deltamethrin, Deltamethrin/Tralomethrin, Demeton (Demeton O + Demeton S), Di-n-butyl phthalate, Di-n-octyl phthalate, Diazinon, Dibenz(a,h)anthracene, Dibromoacetic Acid (DBAA), Dibromoacetonitrile, Dibromochloromethane, Dibromomethane, Dicamba, Dichlone, Dichloran, Dichloroacetic Acid (DCAA), Dichloroacetonitrile, Dichlorodifluoromethane, Dichloroprop, Dichloropropane - dichloropropene (D-D Mixture), Dichlorprop, Dicofol, Dicrotophos, Dieldrin, Diethyl phthalate, Dimethoate, Dimethyl phthalate, Dinoseb (DNPB), Dioxathion, Diquat, Dissolved Acid Hydrolyzable Phosphorus, Dissolved Aluminum, Dissolved Ammonia, Dissolved Antimony, Dissolved Arsenic, Dissolved Barium, Dissolved Beryllium, Dissolved Bicarbonate (HCO3-), Dissolved Bismuth, Dissolved Boron, Dissolved Bromide, Dissolved Cadmium, Dissolved Calcium, Dissolved Carbonate (CO3--), Dissolved Chloride, Dissolved Chromium, Dissolved Chromium, hexavalent (Cr6+), Dissolved Cobalt, Dissolved Copper, Dissolved Fluoride, Dissolved Gallium, Dissolved Germanium, Dissolved Hardness, Dissolved Hydroxide (OH-), Dissolved Iodide, Dissolved Iron, Dissolved Lead, Dissolved Lithium, Dissolved Magnesium, Dissolved Manganese, Dissolved Mercury, Dissolved Molybdenum, Dissolved Nickel, Dissolved Nitrate, Dissolved Nitrate + Nitrite, Dissolved Nitrite, Dissolved Organic Carbon, Dissolved Organic Nitrogen, Dissolved Ortho-phosphate, Dissolved Phosphorus, Dissolved Potassium, Dissolved Selenium, Dissolved Silica (SiO2), Dissolved Silver, Dissolved Sodium, Dissolved Strontium, Dissolved Sulfate, Dissolved Thallium, Dissolved Titanium, Dissolved Total Kjeldahl Nitrogen, Dissolved Uranium, Dissolved Vanadium, Dissolved Zinc, Disulfoton, Diuron, Endosulfan (mixed isomers), Endosulfan sulfate, Endosulfan-I, Endosulfan-II, Endothal, Endrin, Endrin aldehyde, Escherichia coli, Esfenvalerate, Ethion, Ethyl benzene, Ethylbenzene, Ethylene Dibromide, Ethylenethiourea, Fecal Coliform, Fenthion, Fenvalerate, Fibers > 10 ?m Asbestos, Chrysotile, Filtered Water Turbidity, Fluoranthene, Fluorene, Formetanate hydrochloride, Giardia lamblia, Glyphosate, Haloacetic Acid Formation Potential (HAAFP), Heptachlor, Heptachlor epoxide, Hexachlorobenzene, Hexachlorobutadiene, Hexachlorocyclopentadiene, Indeno(1,2,3-cd)pyrene, Inositol 1,4,5-Trisphosphate, Isopropylbenzene, MCPA, MCPP, Malathion, Metalaxyl, Methamidophos, Methidathion, Methiocarb, Methomyl, Methoxychlor, Methyl tert-butyl ether (MTBE), Methylene Blue Active Substances (MBAS), Methylene chloride, Metolachlor, Metribuzin, Mevinphos, Molinate, Monobromoacetic Acid (MBAA), Monochloroacetic Acid (MCAA), Naled, Naphthalene, Napropamide, Norflurazon, Oil and Grease, Organic Phosphorus Pesticides (OPP), Oxamyl, Oxyfluorfen, PCB's, PCB-1016, PCB-1221, PCB-1232, PCB-1242, PCB-1248, PCB-1254, PCB-1260, Paraoxon, Parathion, Ethyl, Parathion, Methyl, Pendimethalin, Pentachloronitrobenzene (PCNB), Pentachlorophenol (PCP), Permethrin, Perthane, Phenanthrene, Phenol, Phenols, Phenoxy Growth Regulators, Pheophytin a, Phorate, Phorate Sulfone, Phosalone, Phosmet, Picloram, Prallethrin, Profenofos, Prometryn, Pronamide, Propachlor, Propanil, Propargite, Propetamphos, Propham, Propoxur, Purgeable Halocarbons, Pyrene, Ronnel, Settleable Solids, Simazine, Specific Conductance, Styrene, Sulfallate, Sumithrin, Suspended + Volatile Suspended Solids, Suspended Solids, TEPP (Tetraethyl Pyrophosphate), Tannin and Lignin, Tefluthrin, Telodrin, Tetrachloroethene, Tetrachloroethylene, Tetrachlorofluoromethane, Tetrachlorophenols, Tetradifon (Tedion), Thiobencarb, Thiodicarb, Threshold Odor, Toluene, Total Alkalinity, Total Aluminum, Total Ammonia, Total Antimony, Total Arsenic, Total Asbestos, Chrysotile, Total Barium, Total Beryllium, Total Bismuth, Total Cadmium, Total Calcium, Total Chromium, Total Chromium, hexavalent (Cr6+), Total Cobalt, Total Coliform, Total Copper, Total Cyanide, Total Dissolved Solids, Total Gallium, Total Germanium, Total Hardness, Total Iron, Total Kjeldahl Nitrogen, Total Lead, Total Lithium, Total Magnesium, Total Manganese, Total Mercury, Total Methylmercury, Total Molybdenum, Total Nickel, Total Oil and Grease, Total Organic Carbon, Total Organic Nitrogen, Total Ortho-phosphate, Total Phenols, Total Phosphorus, Total Selenium, Total Silver, Total Strontium, Total Sulfides, Total Suspended Solids, Total Thallium, Total Titanium, Total Vanadium, Total Xylene, (total), Total Zinc, Toxaphene, Tralomethrin, Trichloroacetic Acid (TCAA), Trichloroacetonitrile, Trichloroethene, Trichlorofluoromethane, Triclopyr, Trifluralin, Trihalomethane Formation Potential (THMFP), Turbidity, UV Absorbance @254nm, Vinyl chloride, Volatile Suspended Solids, Xylene, (total), bis(2-Ethylhexyl) phthalate, cis-1,2-Dichloroethene, cis-1,3-Dichloropropene, l-Cyhalothrin, m + p Xylene, m-Xylene, n-Butylbenzene, n-Propylbenzene, o,p'-DDD, o,p'-DDE, o,p'-DDT, o-Xylene, p,p'-DDD, p,p'-DDE, p,p'-DDT, p-Xylene, pH, s,s,s-Tributyl Phosphorotrithioate (DEF), sec-Butylbenzene, tert-Butylbenzene, trans-1,2-Dichloroethene, trans-1,3-Dichloropropene
Period of Record by Station and Parameter
This is a point feature class of environmental monitoring stations maintained in the California Department of Water Resources’ (hereafter the Department) Water Data Library Database (WDL) for discrete “grab” water quality sampling stations. The WDL database contains DWR-collected, current and historical, chemical and physical parameters found in drinking water, groundwater, and surface waters throughout the state. This dataset is comprised of a Stations point feature class and a related “Period of Record by Station and Parameter” table. The Stations point feature class contains basic information about each station including station name, station type, latitude, longitude, and the dates of the first and last sample collection events on record. The related Period of Record Table contains the list of parameters (i.e. chemical analyte or physical parameter) collected at each station along with the start date and end date (period of record) for each parameter and the number of data points collected. The Lab and Field results data associated with this discrete grab water quality stations dataset can be accessed from the California Natural Resources Agencies Open Data Platform at https://data.cnra.ca.gov/dataset/water-quality-data or from DWR’s Water Data Library web application at https://wdl.water.ca.gov/waterdatalibrary/WaterQualityDataLib.aspx
This is a point feature class of environmental monitoring stations maintained in the California Department of Water Resources’ (hereafter the Department) Water Data Library Database (WDL) for discrete “grab” water quality sampling stations. The WDL database contains DWR-collected, current and historical, chemical and physical parameters found in drinking water, groundwater, and surface waters throughout the state. This dataset is comprised of a Stations point feature class and a related “Period of Record by Station and Parameter” table. The Stations point feature class contains basic information about each station including station name, station type, latitude, longitude, and the dates of the first and last sample collection events on record. The related Period of Record Table contains the list of parameters (i.e. chemical analyte or physical parameter) collected at each station along with the start date and end date (period of record) for each parameter and the number of data points collected. The Lab and Field results data associated with this discrete grab water quality stations dataset can be accessed from the California Natural Resources Agencies Open Data Platform at https://data.cnra.ca.gov/dataset/water-quality-data or from DWR’s Water Data Library web application at http://wdl.water.ca.gov/waterdatalibrary/index.cfm.
This dataset contains counts of live births for California counties based on information entered on birth certificates. Final counts are derived from static data and include out of state births to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all births that occurred during the time period. The final data tables include both births that occurred in California regardless of the place of residence (by occurrence) and births to California residents (by residence), whereas the provisional data table only includes births that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by parent giving birth's age, parent giving birth's race-ethnicity, and birth place type. See temporal coverage for more information on which strata are available for which years.
This data table reports the provisional monthly number of births that occurred in each California county regardless of the place of residence (by occurrence). __Provisional counts are based on the records available when the data was retrieved, given by Data\_Extract\_Date, and may not represent all births that occurred during the time period.__
2025-2026 Provisional Births by Month by County
This data table reports the annual number of births that occurred in each California county regardless of the place of residence (by occurrence) and births to residents of each California county regardless of where the birth occurred (by residence).
1960-2024 Final Births by Year by County
This data table reports the monthly number of births that occurred in each California county regardless of the place of residence (by occurrence) and births to residents of each California county regardless of where the birth occurred (by residence).
1960-2024 Final Births by Month by County
Community Care Licensing Division The Community Care Licensing Division’s (CCLD) mission is to promote the health, safety, and quality of life of each person in community care through the administration of an effective collaborative regulatory enforcement system. This is accomplished by: Promoting strategies to increase voluntary compliance Providing technical assistance to and consulting with care providers Working collaboratively with clients, their families, advocates, care providers, placement agencies, related programs and regulatory agencies, and others involved in community care Training staff in all aspects of the licensing process Educating the public about CCLD and community care options Promoting continuous improvement and efficiency throughout the community care licensing system
California Department of Social Services
california department of social services
California requires that all local governments (cities and counties) adequately plan to meet the housing needs of everyone in the community. California’s local governments meet this requirement by adopting housing plans as part of their “general plan”. General plans serve as the local government’s "blueprint" for how the city and/or county will grow and develop and include eight elements: land use, transportation, conservation, noise, open space, safety, environmental justice, and housing. The Housing Element Compliance Report provides current Housing Element Compliance Status. Additional information about Housing Elements can be found on HCD’s website here: https://www.hcd.ca.gov/planning-and-community-development/housing-elements.
Data Dictionary Housing Element Compliance Report
Per AB132 grantmakers are required to submit data about each awardee for grants that close on or after July 1, 2022. Visit the Glossary on https://www.grants.ca.gov/glossary to review post award data elements. You can view post award data at the bottom of the grant details page. Note that grantmakers may take up to one year to submit post award data. This grant award data is only for Fiscal Year 2023-2024.
California Grants Portal Grant Awards 2023-2024
California Grants Portal Grant Awards 2023-2024 - Updated Daily
Provide compiled GTFS schedule data in geospatial format. Transit routes associates route information to shapes. Transit stops associates aggregated stop times and route information for each stop.
This dataset contains counts of deaths for California as a whole based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data. The final data tables include both deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence), whereas the provisional data table only includes deaths that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years. The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.
This data table reports the statewide monthly number of deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed will affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not take into account contributing causes of death.
1970-1978 Final Deaths by Month Statewide
This data table reports the statewide monthly number of deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death. Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see [Comparability of Cause-of-death Between ICD Revisions](https://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm).
1999-2013 Final Deaths by Month Statewide
1979-1998 Final Deaths by Month Statewide
This data table reports the statewide annual number of deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death. Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see [Comparability of Cause-of-death Between ICD Revisions](https://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm).
1979-1998 Final Deaths by Year Statewide
1999-2013 Final Deaths by Year Statewide
2014-2024 Final Deaths by Year Statewide
This data table reports the provisional monthly number of deaths that occurred in California regardless of the place of residence (by occurrence). __Provisional counts are based on the records available when the data was retrieved, given by Data\_Extract\_Date, and may not represent all deaths that occurred during the time period.__ Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data. The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death. Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see [Comparability of Cause-of-death Between ICD Revisions](https://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm).
2025-2026 Provisional Deaths by Month Statewide
This data table reports the statewide annual number of deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed will affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not take into account contributing causes of death.
1970-1978 Final Deaths by Year Statewide
2014-2024 Final Deaths by Month Statewide
__Attention__: Please note that the Safe to Swim map and its associated resources on California Open Data Portal will not be updated between June 3 to June 25, 2026. We apologize for any inconvenience this may cause and appreciate your patience during this temporary pause in updates. This dataset contains fecal indicator bacteria (FIB) monitoring results collected from surface waters across California. It includes results for _Escherichia coli_ (E. coli), enterococci, fecal coliforms, and total coliforms - key indicators used to assess microbial water quality and potential health risks associated with recreational water use. The data has been cleaned and standardized to ensure consistency and usability. For each valid data point, the dataset also includes calculated 6-week and 30-day geometric means, which are commonly used to evaluate long-term water quality trends and compliance with bacteria water quality objectives. Some records are excluded from the final dataset during processing. These typically include duplicate or replicate results, records with missing or invalid result values, or any data that cannot be used to calculate a geometric mean. These records are saved to the "Excluded Records" data resource. This dataset serves as the primary data source for the Water Boards My Water Quality Portal [Safe to Swim Map](https://mywaterquality.ca.gov/safe-to-swim/content/interactive_map/index.html), which provides the public with timely information about potential health risks associated with water contact recreation at monitored sites. Data is sourced from the [California Environmental Data Exchange Network](https://ceden.waterboards.ca.gov) (CEDEN) database, BeachWatch database, and the Central Valley Water Board [Lower American River Recreational Water Quality Map](https://experience.arcgis.com/experience/47e27f245e044ac2a8e15083307e75f6/?draft=true&org=waterboards). There is some overlap with the [CEDEN Water Chemistry dataset](https://data.ca.gov/dataset/surface-water-chemistry-results). Both portal datasets draw from the same source, but the resources here are updated more frequently to support the Safe to Swim map.
Surface Water - Fecal Indicator Bacteria Monitoring Results
Fecal Indicator Bacteria Monitoring Results - 2010-2020
Fecal Indicator Bacteria Monitoring Results - 2020 to present
This data resource will no longer be updated. Please use "Safe to Swim Results/Geomeans before 2010" resource instead.
Safe to Swim 1969-2010 (no longer updated)
This data resource will no longer be updated. Please use "Safe to Swim Results/Geomeans 2020 to present" resource instead.
Safe to Swim 2020-present (no longer updated)
Fecal Indicator Bacteria Monitoring Results - before 2010
Fecal Indicator Bacteria Monitoring Results - Data Dictionary
This data resource will no longer be updated. Please use "Safe to Swim Results/Geomeans 2010-2020" resource instead.
Safe to Swim 2010-2020 (no longer updated)
This dataset contains monitoring records that were excluded during the data processing workflow for the [Safe to Swim map](https://mywaterquality.ca.gov/safe-to-swim/content/interactive_map/). These records typically include duplicate or replicate results, records with missing or invalid result values, or any data that cannot be used to calculate a geometric mean. The purpose of publishing this dataset is to promote transparency in how data is handled and to provide users with access to the full context of the data processing decisions. Each record includes a value in the "Comments" column that explains the reason for exclusion. If you believe a record was excluded in error and should be reconsidered for inclusion, please contact us for review.
Fecal Indicator Bacteria Monitoring Results - Excluded Records
This data resource will no longer be updated.
Monitoring sites for Safe to Swim (no longer updated)
Sierra Nevada Red Fox Predicted Habitat - CWHR M147a [ds3359]
This dataset contains counts of deaths for California counties based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data. The final data tables include both deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence), whereas the provisional data table only includes deaths that occurred in each county regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years. The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.
This data table reports the monthly number of deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death. Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see [Comparability of Cause-of-death Between ICD Revisions](https://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm).
1989-1998 Final Deaths by Month by County
This data table reports the monthly number of deaths to residents of each California county (by residence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death. Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see [Comparability of Cause-of-death Between ICD Revisions](https://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm).
2009-2013 Final Deaths by Month by Residence County
This data table reports the annual number of deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death. Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see [Comparability of Cause-of-death Between ICD Revisions](https://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm).
1979-1998 Final Deaths by Year by County
This data table reports the annual number of deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed will affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not take into account contributing causes of death.
1970-1978 Final Deaths by Year by County
2014-2024 Final Deaths by Year by County
This data table reports the monthly number of deaths that occurred in each California county regardless of the place of residence (by occurrence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death. Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see [Comparability of Cause-of-death Between ICD Revisions](https://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm).
2019-2023 Final Deaths by Month by Occurrence County
2014-2018 Final Deaths by Month by Residence County
2009-2013 Final Deaths by Month by Occurrence County
This data table reports the monthly number of deaths that occurred in each California county regardless of the place of residence (by occurrence). The cause of death categories is based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death. Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see Comparability of Cause-of-death Between ICD Revisions.
2024-2024 Final Deaths by Month by Occurrence County
This data table reports the monthly number of deaths to residents of each California county (by residence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death. Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see Comparability of Cause-of-death Between ICD Revisions.
2024-2024 Final Deaths by Month by Residence County
1999-2003 Final Deaths by Month by Residence County
2004-2008 Final Deaths by Month by Occurrence County
1999-2013 Final Deaths by Year by County
1999-2003 Final Deaths by Month by Occurrence County
1979-1988 Final Deaths by Month by County
2004-2008 Final Deaths by Month by Residence County
This data table reports the provisional monthly number of deaths that occurred in each California county regardless of the place of residence (by occurrence). __Provisional counts are based on the records available when the data was retrieved, given by Data\_Extract\_Date, and may not represent all deaths that occurred during the time period.__ Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data. The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death. Cause of death categories for years 1999 and later are based on tenth revision of International Classification of Diseases (ICD-10) codes. Comparable categories are provided for years 1979 through 1998 based on ninth revision (ICD-9) codes. For more information on the comparability of cause of death classification between ICD revisions see [Comparability of Cause-of-death Between ICD Revisions](https://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm).
2025-2026 Provisional Deaths by Month by County
2014-2018 Final Deaths by Month by Occurrence County
2019-2023 Final Deaths by Month by Residence County
This data table reports the monthly number of deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence). The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed will affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not take into account contributing causes of death.
1970-1978 Final Deaths by Month by County
Fish planting locations of the inland waters of California. This data is updated by CDFW Hatchery staff. This data is part of the CDFW Fishing Guide https://apps.wildlife.ca.gov/fishing/. For more information on fish planting locations please visit, https://nrm.dfg.ca.gov/FishPlants/ .
The Enhanced Predatory Fish Removal and Relocation Study (EPFRRS) was developed as part of the proposed action during the 2019 Reinitiation of Consultation on Long-Term Operation of the Central Valley Project and State Water Project with the National Marine Fisheries Service (NMFS) (ROC on LTO) and was included in the Incidental Take Permit for the State Water Project (SWP ITP). The goal of EPFRRS is to use the most successful methods from previous studies, such as the Predator Reduction Electrofishing Study (PRES) and the Predatory Fish Relocation Study (PFRS), to reduce predation on protected fish species in Clifton Court Forebay (CCF), primarily juvenile Chinook Salmon and steelhead. The EPFRRS 2022 field season ran from January 3 through May 12, with a one week cancellation from January 10 through January 14. Cancellation was for two reasons. 1) There were staff that contracted COVID, so fieldwork was cancelled to avoid potential exposures, and 2) there was a temporary increase in the presence of Sacramento Splittail in CCF.
2022 Enhanced Predatory Fish Removal and Relocation Study
There were four gear types used during the 2022 field season; electrofishing, beach seine, hoop traps, and Kodiak trawl. Electrofishing consisted of two electrofishing boats focusing on hotspots identified during PRES and the 2021 field season. The 2,000 ft beach seine was used, and hoop traps were deployed for 24-48 hours of passive fishing. The Kodiak trawl was modified from its use during PFRS in 2019, with an enlarged net opening and a much longer taper to the cod-end. The beach seine and Kodiak trawl were alternated due to the high resource demand needed for these two gear-types (i.e., when the beach seine was fished the Kodiak trawl was not, and vice-versa). Predatory fish removed included black basses, Striped Bass, catfish, and sunfish. However, sunfish were removed opportunistically and were not specifically fished for. Fieldwork was scheduled for four days a week, Monday through Thursday, each week. However, fieldwork was canceled if the weather presented unsafe working conditions. In total, fieldwork was conducted on 55 days during the field season.
<span style='color: rgb(115, 115, 115); text-transform: none; text-indent: 0px; letter-spacing: normal; font-family: Arial, Helvetica, sans-serif; font-size: 14px; font-style: normal; font-weight: 400; word-spacing: 0px; float: none; display: inline !important; white-space: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255); font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;'>This data contains a list of California Licensing and Certification District Offices. The California Department of Public Health, Center for Health Care Quality, Licensing and Certification (L&C) Program licenses and/or certifies more than 30 types of healthcare facilities in California. In addition, the Program contracts with the Los Angeles County (LA) to provide federal and state survey and certification services throughout that area; LA is divided into 4 District Offices. The L&C District Office contact information is geocoded. The L&C Program is mandated to conduct various state re-licensing surveys to ensure that a provider is in compliance with all state laws and regulations by conducting on-site inspections (surveys) and investigating complaints and facility-reported events. The L&C Program is also contracted by the United States Department of Health and Human Services Centers for Medicare and Medicaid Services (CMS) to ensure that facilities accepting Medicare and Medi-Cal payments meet federal requirements. L&C is the largest program within CDPH, consisting of about 1,200 managers and staff located at headquarters in Sacramento and 14 district offices throughout the state. In addition, the Program contracts with the Los Angeles County (LA) to provide federal and state survey and certification services throughout that area; LA is divided into 4 District Offices. The L&C District Office contact information is geocoded.
Healthcare Facility Licensing and Certification District Offices
Statistic crash records within State of California
California Crash Reporting System (CCRS)
California Highway Patrol - Information Technology Section
InjuredWitnessPassengers raw data file of 2025; Updated: 6/26/2026 7:05:38 PM
Parties raw data file of 2019; Updated: 6/26/2026 7:29:06 PM
InjuredWitnessPassengers raw data file of 2023; Updated: 6/26/2026 7:13:42 PM
Short description of all data fields in the raw data files.
Crashes raw data file of 2019; Updated: 6/26/2026 7:28:35 PM
InjuredWitnessPassengers raw data file of 2022; Updated: 6/26/2026 7:17:45 PM
Parties raw data file of 2016; Updated: 5/13/2026 8:58:57 PM
Parties raw data file of 2026; Updated: 6/26/2026 7:01:19 PM
Crashes raw data file of 2016; Updated: 5/13/2026 8:58:17 PM
Parties raw data file of 2018; Updated: 6/26/2026 7:33:53 PM
Crashes raw data file of 2023; Updated: 6/26/2026 7:12:38 PM
InjuredWitnessPassengers raw data file of 2020; Updated: 6/26/2026 7:25:17 PM
Crashes raw data file of 2017; Updated: 6/26/2026 7:38:09 PM
InjuredWitnessPassengers raw data file of 2021; Updated: 6/26/2026 7:21:45 PM
Parties raw data file of 2021; Updated: 6/26/2026 7:21:04 PM
Crashes raw data file of 2022; Updated: 6/26/2026 7:16:37 PM
Parties raw data file of 2023; Updated: 6/26/2026 7:13:08 PM
InjuredWitnessPassengers raw data file of 2019; Updated: 6/26/2026 7:29:51 PM
Parties raw data file of 2024; Updated: 6/26/2026 7:09:09 PM
Parties raw data file of 2022; Updated: 6/26/2026 7:17:05 PM
Crashes raw data file of 2025; Updated: 6/26/2026 7:04:15 PM
Parties raw data file of 2025; Updated: 6/26/2026 7:04:52 PM
Crashes raw data file of 2020; Updated: 6/26/2026 7:24:15 PM
InjuredWitnessPassengers raw data file of 2024; Updated: 6/26/2026 7:09:54 PM
Crashes raw data file of 2018; Updated: 6/26/2026 7:33:20 PM
Crashes raw data file of 2026; Updated: 6/26/2026 7:01:00 PM
InjuredWitnessPassengers raw data file of 2026; Updated: 6/26/2026 7:01:39 PM
InjuredWitnessPassengers raw data file of 2018; Updated: 6/26/2026 7:34:40 PM
Crashes raw data file of 2021; Updated: 6/26/2026 7:20:33 PM
Parties raw data file of 2017; Updated: 6/26/2026 7:38:52 PM
InjuredWitnessPassengers raw data file of 2016; Updated: 5/13/2026 8:59:46 PM
Parties raw data file of 2020; Updated: 6/26/2026 7:24:45 PM
Crashes raw data file of 2024; Updated: 6/26/2026 7:08:32 PM
InjuredWitnessPassengers raw data file of 2017; Updated: 6/26/2026 7:39:43 PM
This dataset shows the use of Medi-Cal dental benefits by Medi-Cal members, displayed by age group and calendar year (for 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023). This information is displayed in the following categories: Annual Dental Visit, Exams/Oral Health Evaluations, Use of Diagnostic Services, Use of Dental Treatment Services, Use of Preventive Services, Use of Restorative Services, Treatment/Prevention for Caries, and Use of Sealants. The Medi-Cal members were continuously enrolled in either Dental Managed Care or the dental Fee-for-Service delivery system for the entire measurement period.
Dental Utilization Measures and Sealant Data by Age Groups Calendar Year 2013 to 2023
Medi-Cal Dental Services Division/Program Evaluation & Reporting Unit
california department of health care services
This dataset shows the use of Medi-Cal dental benefits by Medi-Cal members displayed by age groups and calendar year (for 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, and 2024). This information consists of members receiving dental services in the following categories: Annual Dental Visit, Exams/Oral Health Evaluations, Use of Diagnostic Services, Use of Dental Treatment Services, Use of Preventive Services, Use of Restorative Services, Treatment/Prevention for Caries, and Use of Sealants. The Medi-Cal members were continuously enrolled in either Dental Managed Care or the Dental Fee-for-Service delivery system for at least 3 months during each measure year.
Government Code section 65400 requires that each city, county, or city and county, including charter cities, prepare an annual progress report (APR) on the status of the housing element of its general plan and progress in its implementation. This dataset includes information reported to the Department of Housing and Community Development (HCD) by local jurisdictions on their APR form. Additional information about annual progress reports (APR), including the form, instructions, and definition can be found on HCD’s website here: https://www.hcd.ca.gov/planning-and-community-development/annual-progress-reports.
Housing Element Annual Progress Report (APR) Data by Jurisdiction and Year
For up to 25 percent of a jurisdiction’s moderate-income regional housing need allocation, the planning agency may include the number of units in an existing multifamily building that were converted to deed-restricted rental housing for moderate-income households by the imposition of affordability covenants and restrictions for the unit. Before adding information to this table, jurisdictions must ensure housing developments meet the requirements described in Government Code 65400.2(b).
Local governments are required to inform HCD about any local tenant preference ordinance the local government maintains when the jurisdiction submits their annual progress report on housing approvals and production, per Government Code 7061 (SB 649, 2022, Cortese). Effective January 1, 2023, local governments adopting a tenant preference are required to create a webpage on their internet website containing authorizing local ordinance and supporting materials, no more than 90 days after the ordinance becomes operational.
This is a point feature class of all groundwater elevation monitoring stations (wells) maintained in the California Department of Water Resources’ (hereafter the Department) Enterprise Water Management database. Individual station information comes from a wide variety of sources, including and local and federal agencies, that conduct groundwater elevation monitoring within the state of California.
i08 GroundwaterStations EnterpriseWaterManagement
This dataset includes three tables with the model-based projections and estimates as shown on CalCAT in 2025 (http://calcat.cdph.ca.gov) for California state, regions, and counties. (1) COVID-19 Nowcasts includes the R-effective estimates for COVID-19 from the different models available for the past 80 days from the archive date and the median ensemble thereof. (2) CalCAT Forecasts includes hospital census and admissions forecasts for COVID-19 and Influenza, and the corresponding ensemble metrics for a 4 week horizon from the archive date. (3) Variant Proportion Nowcasts contains the Integrated Genomic Epidemiology Dataset (IGED)-based and Terra-based estimates of COVID-19 variants circulating over the past 3 months as well as model-based predictions for the proportions of the variants of concern for dates leading up to the archive date. Prediction intervals are included when available. This dataset provides CalCAT users with programmatic access to the downloadable datasets on CalCAT. This dataset also includes a zipped file with the historical archives of the COVID-19 Nowcasts, CalCAT Forecasts and Variant Proportion Nowcasts through 2023.
CDPH-CalCAT Modeling Nowcasts and Forecasts for COVID-19 and Influenza
Zipped file containing one file each for COVID-19 Nowcasts, COVID-19 and Influenza Forecasts and Variant Proportion Nowcasts as shown on CalCAT throughout 2024. The data dictionaries for the files are available at https://data.chhs.ca.gov/dataset/calcat.
[ARCHIVE 2024] CalCAT Forecasts and Nowcasts Historical Archive
Data Dictionary - Modeling Forecasts for COVID-19 and Influenza
Variant Proportion Nowcasts for COVID-19
Zipped file containing one file each for COVID-19 Nowcasts, COVID-19 and Influenza Forecasts and Variant Proportion Nowcasts as shown on CalCAT from 2020 through 2023. The data dictionaries for the files are available at https://data.chhs.ca.gov/dataset/calcat.
[ARCHIVE 2020-2023] CalCAT Forecasts and Nowcasts Historical Archive
On an annual basis (based on individual Long-Term Care (LTC) facility fiscal year end), California licensed LTC facilities report detailed financial data on facility information, ownership information, patient days & discharges, Balance Sheet, Equity Statement, Cash Flows, Income Statement, Revenue by type and payer, Expense Detail, and Labor Detail. Based on the selected data set, the pivot tables display summarized data on a Profile page and also provides charts on various data items such as Patient Days, Revenue & Expense, and Revenue.
Department of Health Care Access and Information
Long-term Care Facility Integrated Disclosure and Medi-Cal Cost Report Data & Pivot Tables
Accounting and Reporting Systems Section
department of health care access and information
2023 Selected File (As Submitted) - Long-Term Care Annual Financial Data (September 2024 Extract)
Based on the selected data set, the pivot tables display summarized data on a Profile page and also provides charts on various data such as Patient Days, Revenue & Expense, and Revenue.
2022 Pivot Profile (Audited) - Long-Term Care Annual Financial Data (June 2026 Extract)
2001-2019 Full Page-Column-Line to Excel Crosswalk - Long-Term Care Financial Annual
2014 Selected File - Long-Term Care Annual Financial Data - (October 2017 Extract)
2024-current Full Page-Column-Line to Excel Crosswalk – Long-Term Care Annual Financial
2024 Pivot Profile (As Submitted) - Long-Term Care Annual Financial Data (September 2025 Extract)
2018 Complete Data Set (Audited) - Long-Term Care Annual Financial Data (April 2022 Extract)
2022 Complete Data Set (Audited) - Long-Term Care Annual Financial Data (June 2026 Extract)
2018 - Pivot Profile - Long-Term Care Annual Financial Data (March 2022 Extract)
Accounting and Reporting Manual for California Long-Term Care Facilities
2019 Selected File - Long-Term Care Annual Financial Data - (August 2024)
Pre-2012 Long-term Care Facility Integrated Disclosure and Medi-Cal Cost Report Data & Pivot Tables
2014 Complete Data Set - Long-Term Care Annual Financial Data
2017 - Pivot Profile - Long-Term Care Annual Financial Data (Revised July 2020)
2024-current Documentation – Selected Data Set – Long-Term Care Annual Financial
2020 Selected File (Audited Data) - Long-Term Care Annual Financial Data - (July 2024)
2021 Pivot Profile (Audited) - Long-Term Care Annual Financial Data (June 2025 Extract)
2016 Complete Data Set (Audited)- Long-Term Care Annual Financial Data (May 2021 Extract)
2019 Complete Data Set (Audited) - Long-Term Care Annual Financial Data - Extracted 1/13/25
2014 - Pivot Profile - Long-Term Care Annual Financial Data (October 2017 Extract)
2019 - Pivot Profile - Long-Term Care Annual Financial Data (August 2024)
2024 Selected File (As Submitted) - Long-Term Care Annual Financial Data (September 2025 Extract)
2015 – Pivot Profile - Long-Term Care Annual Financial (October 2017)
2020-2023 Documentation - Selected Data - Long-term Care Facility Annual Financial
2022 Selected File (Audited) - Long-Term Care Annual Financial Data (June 2026 Extract)
2024 Complete Data Set (As Submitted) - Long-Term Care Annual Financial Data (September 2025 Extract)
2021 Selected File (Audited) - Long-Term Care Annual Financial Data (June 2025 Extract)
2019 - 2023 Trends - Pivot Table - Long-Term Care Annual Financial Data (September 2024 Extract)
2013 Selected File - Long-Term Care Annual Financial Data
2012 - Pivot Profile - Long-Term Care Annual Financial Data(December 2014 Extract)
2018 Selected File - Long-Term Care Annual Financial Data - (March 2022 Extract)
2023 Pivot Profile (As Submitted) - Long-Term Care Annual Financial Data (September 2024 Extract)
2024-current Documentation – Complete Data Set – Long-Term Care Annual Financial
2012 Selected File - Long-Term Care Annual Financial Data - (October 2014 Extract)
2016 Selected File - Long-Term Care Annual Financial Data - (October 2019 Extract)
2017 Complete Data Set (Audited)- Long-Term Care Annual Financial Data (May 2021 Extract)
2015 Selected File - Long-Term Care Annual Financial Data - (October 2017 Extract)
2020-2023 Documentation - Complete Data Set - Long-Term Care Annual Financial
2020 - Pivot Profile (Audited Data) - Long-Term Care Annual Financial Data (July 2024)
Financial Disclosure Report site, where you can view and save detailed financial disclosure reports submitted by California's 450 hospitals and 1,200 long-term care facilities.
Individual Facility Report Search (SIERA)
2020 Complete Data Set (Audited) - Long-Term Care Annual Financial Data - Extracted 8/24/24
2001-2019 Documentation - Complete Data Set - Long-Term Care Annual Financial
2020-2023 Full Page-Column-Line to Excel Crosswalk - Long-Term Care Financial Annual
2021 Complete Data Set (Audited) - Long-Term Care Annual Financial Data (June 2025 Extract)
2015 Complete Data Set - Long-Term Care Annual Financial Data
2013 - Pivot Profile - Long-Term Care Annual Financial Data
2016 - Pivot Profile - Long-Term Care Annual Financial Data (October 2019)
2017 Selected File - Long-Term Care Annual Financial Data - (Revised July 2020)
2023 Complete Data Set (As Submitted) - Long-Term Care Annual Financial Data (September 2024 Extract)
The dataset provides basic information of the FFS providers enrolled in the Medi-Cal program as of June 15, 2026. The data was retrieved from the Provider Master File (PMF), which has been used in the claims payment process and maintained by the Provider Enrollment Division (PED). The Variables in the dataset include provider number, name, type, specialty, geographic information, etc. This dataset does not include the Managed Care providers.
​Profile of Enrolled Medi-Cal Fee-for-Service (FFS) Providers
Table of DHCS (Medi-Cal) Provider Type Codes and Descriptions used by the Medi-Cal Fiscal Intermediary.
The dataset provides enrollment and geographic data for Fee-for-Service (FFS) providers enrolled in the Medi-Cal. The data is based on a point in time, and it is to be updated monthly. The enrollment provider data is as of June 22, 2026. This dataset does not include Dental Fee-for-Service providers.
Enrolled Medi-Cal Fee-for-Service (FFS) Providers
This application allows for searching by Name or address within a number mile radius.
Medi-Cal Fee for Service Provider Finder Application
Table of DHCS (Medi-Cal) Provider Specialty Codes and Descriptions used by the Medi-Cal Fiscal Intermediary.
*Back to [Basin Characterization Program webpage](https://data.cnra.ca.gov/dataset/dwr-basin-characterization "Basin Characterization Program webpage")* #Downloads: + ##[Full BCTools package (v2026.01)](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/eb8c327e-dd58-449f-8ad8-63d4fa1a0f21 "Full BCTools package (v2026.01)") + ##[Example Datasets](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/7971b455-082c-403c-b20e-ececc78cf2ca "Example Datasets") + ##[BCTools User Manual - Quick Guide](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/d9d4792a-6746-4ea0-8e8b-694bdb545fc7 "BCTools User Manual - Quick Guide") + ##[BCTools User Manuals (Combined)](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/529a4fc8-d85f-47e6-b3a1-994f74c16aa7 "BCTools User Manuals (Combined)") *Jump to [Training](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/fc99eaac-c212-4936-b559-a196aec9482f "Training")* #BCTools Overview: [DWR’s California's Groundwater Basin Characterization Program](https://water.ca.gov/Programs/Groundwater-Management/Bulletin-118/Basin-Characterization "California's Groundwater Basin Characterization Program") integrates statewide airborne electromagnetic (AEM) surveys, lithologic and geophysical logs, and other subsurface datasets to produce continuous geologic frameworks and 3D aquifer system models. Program datasets and modeling outputs are available through the [Basin Characterization Program Open Data Portal Page](https://data.cnra.ca.gov/dataset/dwr-basin-characterization "Basin Characterization Program Open Data Portal Page"). BCTools is DWR’s open‑source software suite for constructing hydrostratigraphic models, generating sediment‑texture models, and developing aquifer‑parameter datasets for groundwater flow modeling. The suite includes the following tools: + Data2HSM – hydrostratigraphic modeling tools + Texture2Par – texture and aquifer parameter modeling tools + AEM Data Preprocessor – formats AEM data for use in the two tool suites BCTools integrates these components into a single interface while allowing each to be run independently. ###BCTools Framework ![Alt text](https://data.cnra.ca.gov/dataset/ca0e3aae-a13c-444f-88c0-ad5ed25fec28/resource/d3e6c30e-0ca3-4b5c-b975-7d67f70acac1/download/bctools_framework_web.png "BCTools Framework") ##Data2HSM Data2HSM is a machine‑learning tool suite for constructing hydrostratigraphic models (HSMs). It enables users to combine AEM data, lithology logs, and geophysical logs to develop basin hydrostratigraphy. Outputs can include groundwater model layering, conceptual models, 3D lithologic models, and key hydrogeologic surfaces. Tools within Data2HSM: + GMM – creates 2D/3D lithologic or stratigraphic models + Smart Interpretation – rapidly maps hydrogeologic surfaces with a 3D viewer + GeoPDNN – produces continuous 3D stratigraphic models from interval data For additional information, see the [Data2HSM User Manual](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/73bb5449-b7a8-43f9-89c5-c7b69127594b "Data2HSM User Manual"). ##Texture2Par Generates 3D sediment texture models and aquifer parameters for groundwater flow modeling. It uses kriging and empirical relationships to combine AEM data, lithology logs, and aquifer parameters. Outputs can be used for texture model analyses (e.g. [Aquifer Recharge Potential Mapping Process Document](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/7d33d618-38bc-4511-834c-6e791695f8e2 "Aquifer Recharge Potential Mapping Process Document")) or imported directly to IWFM and MODFLOW. For additional information, see the [Texture2Par User Manual](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/40b4f199-39d8-408b-9105-edc3b386f559 "Texture2Par User Manual") ##AEM Data Preprocessor Formats [DWR's Statewide AEM Survey](https://data.cnra.ca.gov/dataset/aem "DWR's Statewide AEM Survey") datasets into files ready for use in Data2HSM and Texture2Par. For additional information, see the [AEM Data Preprocessor User Manual](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/e6146fd6-9f71-47c6-adde-7ac1c63be700 "AEM Data Preprocessor User Manual") #Training and Support ##[Training Videos](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/fc99eaac-c212-4936-b559-a196aec9482f "Training Videos") The on-demand training workshop provides detailed instructions on how to use the tools and hands-on exercises. The on-demand training workshop consists of the following modules: + ###Module 0: Welcome and Orientation + ###Module 1: Data + ###Module 2: Texture2Par + ###Module 3: Data2HSM + ###Module 4: Wrap-Up Additional presentations covering BCTools are available via the [Basin Characterization Exchange Hub](https://cadwr.box.com/v/BasinCharacterizationExchange "Basin Characterization Exchange Hub"). Questions and comments may be directed to Basin.Characterization@water.ca.gov.
DWR's Basin Characterization Tools - BCTools
This file package contains the BCTools Installer, Input Files, Source Code, and Standalone Executables. Version 2026.01 was uploaded on 3/24/2026.
This file contains the following User Manuals within a single zip file: + BCTools User Manual + Data2HSM User Manual + Texutre2Par User Manual + AEM Data Preprocessor User Manual File updated on 3/27/2026.
BCTools is composed of three modules: the Data2HSM suite of hydrostratigraphic modeling tools, the Texture2Par suite of texture and aquifer parameter modeling tools, and a preprocessor designed to format data for input into each of these tools.
The AEM Data Preprocessor prepares AEM datasets from DWR’s statewide surveys for use in Texture2Par (for Texture Models) and Data2HSM’s GMM and SI tools. It takes resistivity models and coarse fraction models as inputs and outputs a single formatted file suitable for use in the modeling tools. The AEM Data Preprocessor must be run before using AEM data in Data2HSM or Texture2Par. This file contains Appendix A: AEM Data Preprocessor from the [BCTools User Manual](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/d9d4792a-6746-4ea0-8e8b-694bdb545fc7 "BCTools User Manual"). File updated on 3/27/2026
The BCTools User Guide serves as a quick start guide for BCTools. It covers how to install and set up the suite of programs, obtain input data, and launch the programs. Detailed information on the Data2HSM and Texture2Par tools — including the underlying theory and methods — is provided in the documents below: + [Data2HSM](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/73bb5449-b7a8-43f9-89c5-c7b69127594b "Data2HSM") + [Texture2Par](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/40b4f199-39d8-408b-9105-edc3b386f559 "Texture2Par") + [AEM Data Preprocessor](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/e6146fd6-9f71-47c6-adde-7ac1c63be700 "AEM Data Preprocessor") File updated on 3/27/2026.
The Data2HSM User Manual provides a quick‑start guide, setup and execution steps, tool descriptions, input and output options, and key assumptions and limitations. Data2HSM is a tool that allows users to generate hydrostratigraphic models and aquifer surfaces from AEM data, lithology logs, and geophysical logs. Possible outputs include: + Groundwater model layering prototypes + Hydrogeologic conceptual models + 3D lithologic models + Surfaces such as aquifer/aquitard bases, geologic formations, the water table, base of freshwater, or top of bedrock Data2HSM consists of one interface with three main tools: + ###Gaussian Mixture Model (GMM) GMM converts AEM data into 2D and 3D lithologic or stratigraphic models. Users can also include existing stratigraphic or texture models to guide the tool. GMM uses unsupervised machine learning to assign data points to user‑defined clusters that represent either lithologic groups (e.g., sand, clay, gravel) or stratigraphic units. When configured for stratigraphy, the tool uses prior geologic knowledge and a coordinate transformation to help maintain geologic consistency. + ###Smart Interpretation (SI) Smart Interpretation helps users rapidly delineate hydrogeologic surfaces such as aquifer/aquitard bases, the water table, the base of freshwater, or the top of bedrock. Users provide a small set of interpretations—either from past work or from other datasets—and SI uses polynomial regression informed by AEM data to complete the surface. An interactive 3D viewer allows additional interpretations using AEM sections, boring logs, and geologic cross‑sections. Multiple surfaces can be interpreted in one session. + ###Geological Pseudolabel Deep Neural Network (GeoPDNN) GeoPDNN is a deep‑learning tool that generates continuous 3D geological models from interval‑based datasets such as boring logs or AEM soundings. It takes in location coordinates and interval data and outputs a 3D stratigraphic model and surfaces marking the base of each unit. ###Key References: This manual draws on foundational research supporting Data2HSM’s methods, including: + [GeoPDNN 1.0: A semi‑supervised deep learning framework for 3D geologic modeling using pseudo‑labels](https://doi.org/10.5281/zenodo.10604091 "GeoPDNN 1.0: A semi‑supervised deep learning framework for 3D geologic modeling using pseudo‑labels") (Guo & X, 2023). + [Smart Interpretation – supervised statistical models for automated geological interpretations](https://doi.org/10.1007/s10596-017-9621-8 "Smart Interpretation – supervised statistical models for automated geological interpretations")(Gulbrandsen et al., 2017). This file contains Appendix B: Data2HSM User Manual from the [BCTools User Manual](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/d9d4792a-6746-4ea0-8e8b-694bdb545fc7 "BCTools User Manual"). File updated on 3/27/2026. ###Questions and comments may be directed to Basin.Characterization@water.ca.gov.
Texture2Par generates 3D texture models and aquifer parameter datasets for groundwater flow modeling. Written in Fortran, Texture2Par can be used standalone or within a larger automated workflow such as groundwater model calibration. Texture2Par can be used for generating the following: + ###Texture Model Texture2Par can be used to develop Texture Models. To develop Texture Models, Texture2Par uses ordinary, block, or indicator kriging and co‑kriging to convert lithology logs, and geophysical data interpreted for texture (from AEM or geophysical logs) into 3D texture models. It supports anisotropic and isotropic variograms and cross‑variograms. + ###Aquifer Properties Texture2Par can also be used to develop Aquifer Properties for Groundwater Models. To obtain Aquifer Properties, Texture2Par uses empirical relationships between texture and aquifer properties to estimate horizontal and vertical hydraulic conductivity, specific yield, and specific storage throughout a model domain. The tool also supports a pilot‑point approach to incorporate spatially distributed aquifer parameter measurements, such as pumping test results. Aquifer Properties can directly output parameter files for IWFM and MODFLOW. The Texture2Par User Manual provides an overview of the tool inputs, outputs, setup and execution, and limitations. ###Key References: + [Texture2Par User’s Guide: A Parameterization Utility for IWFM and MODFLOW, Version 1.0.0](https://data.cnra.ca.gov/dataset/svsim/resource/88cbfa06-a2e7-4078-8f76-a1044d32fe70 "Texture2Par User’s Guide: A Parameterization Utility for IWFM and MODFLOW, Version 1.0.0) (DWR, 2022). + [Texture2Par: A texture-driven tool for estimating subsurface hydraulic properties](https://doi.org/10.1016/j.envsoft.2025.106372 "Texture2Par: A texture-driven tool for estimating subsurface hydraulic properties") (Scantlebury et al., 2025. This file contains Appendix C: Texture2Par from the [BCTools User Manual](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools/resource/d9d4792a-6746-4ea0-8e8b-694bdb545fc7 "BCTools User Manual"). File updated on 3/27/2026. ###Questions and comments may be directed to Basin.Characterization@water.ca.gov.
This package includes example datasets to help users learn and practice using the BCTools Version 2026.01 software. File uploaded on 6/19/2026.
This dataset is a catalog of all the datasets available on the CalHHS Open Data Portal. Each item in the catalog represents a dataset and includes the associated metadata and additional information.
California Health and Human Services Agency
california health and human services agency
This dataset is a catalog of all the datasets available on the CHHS Open Data Portal. Each item in the catalog represents a dataset and includes the associated metadata and additional information.
The California Department of Public Health (CDPH) is coordinating with wastewater utilities, local health departments, academic researchers, and laboratories in California on wastewater surveillance for infectious disease pathogens of interest to public health (such as SARS-CoV-2, the virus causing COVID-19, influenza, respiratory syncytial virus (RSV), mpox, and norovirus). Data collected from this network of participants, called the California Surveillance of Wastewaters (Cal-SuWers) Network, are submitted to the U.S. Centers for Disease Control and Prevention (CDC) National Wastewater Surveillance System (NWSS). Collecting and analyzing wastewater samples for the presence of, and amount of (concentration), a specified pathogen target can help inform public health about circulation of that infectious disease within a community. Data from wastewater testing do not replace existing public health surveillance systems but complement them. While wastewater surveillance cannot determine the exact number of infected persons in the area being monitored, it can provide overall trends of pathogen concentration within that community. Please note that data included in the Cal-SuWers Network and available here originate from multiple programs and laboratories. Methodologies for producing wastewater data are not currently standardized, and analyses, comparisons, and aggregations should be done with caution. Wastewater is a complex environmental sample and inherent variability in measured concentrations is expected due to environmental variability, day-to-day differences in sewershed and population dynamics, differences in the amount of shedding between people and pathogens, and laboratory and sampling variability. Please see the CDPH Cal-SuWers, CDC NWSS, and CDC Public Health interpretation and Use of Wastewater Surveillance data webpages for more information. Historical wastewater data can be found [here](https://data.ca.gov/dataset/covid-19-wastewater-surveillance-data-california).
CDPH-Wastewater Surveillance Data, California
Wastewater Surveillance, Surveillance Section | Coronavirus Control Branch
NWSS Data Dictionary includes: valid values, required fields, data elements/descriptions, recent changes, etc. For most recent version of the data dictionary visit: https://www.cdc.gov/nwss/reporting.html#data-dictionary
__Note__: In these datasets, a person is defined as up to date if they have received at least one dose of an updated COVID-19 vaccine. The Centers for Disease Control and Prevention (CDC) recommends that certain groups, including adults ages 65 years and older, receive additional doses. Starting on July 13, 2022, the denominator for calculating vaccine coverage has been changed from age 5+ to all ages to reflect new vaccine eligibility criteria. Previously the denominator was changed from age 16+ to age 12+ on May 18, 2021, then changed from age 12+ to age 5+ on November 10, 2021, to reflect previous changes in vaccine eligibility criteria. The previous datasets based on age 12+ and age 5+ denominators have been uploaded as archived tables. Starting June 30, 2021, the dataset has been reconfigured so that all updates are appended to one dataset to make it easier for API and other interfaces. In addition, historical data has been extended back to January 5, 2021. This dataset shows full, partial, and at least 1 dose coverage rates by zip code tabulation area (ZCTA) for the state of California. Data sources include the California Immunization Registry and the American Community Survey’s 2015-2019 5-Year data. This is the data table for the [LHJ Vaccine Equity Performance dashboard](https://public.tableau.com/profile/ca.open.data#!/vizhome/LHJVaccineEquityPerformance/MapView?publish=yes). However, this data table also includes ZTCAs that do not have a VEM score. This dataset also includes Vaccine Equity Metric score quartiles (when applicable), which combine the Public Health Alliance of Southern California’s Healthy Places Index (HPI) measure with CDPH-derived scores to estimate factors that impact health, like income, education, and access to health care. ZTCAs range from less healthy community conditions in Quartile 1 to more healthy community conditions in Quartile 4. The Vaccine Equity Metric is for weekly vaccination allocation and reporting purposes only. CDPH-derived quartiles should not be considered as indicative of the HPI score for these zip codes. CDPH-derived quartiles were assigned to zip codes excluded from the HPI score produced by the Public Health Alliance of Southern California due to concerns with statistical reliability and validity in populations smaller than 1,500 or where more than 50% of the population resides in a group setting. These data do not include doses administered by the following federal agencies who received vaccine allocated directly from CDC: Indian Health Service, Veterans Health Administration, Department of Defense, and the Federal Bureau of Prisons. For some ZTCAs, vaccination coverage may exceed 100%. This may be a result of many people from outside the county coming to that ZTCA to get their vaccine and providers reporting the county of administration as the county of residence, and/or the DOF estimates of the population in that ZTCA are too low. Please note that population numbers provided by DOF are projections and so may not be accurate, especially given unprecedented shifts in population as a result of the pandemic.
COVID-19 Vaccine Progress Dashboard Data by ZIP Code
Statewide COVID-19 Vaccines Administered by Zip Code
COVID-19 Vaccines Shipped, Delivered, On Hand, by County & Zip
COVID-19 Vaccines by ZIP Code Data Dictionary
Legacy table based on age 12+ denominators up to November 9, 2021.
Statewide COVID-19 Vaccines Administered by Zip Code (Age 12+ archived)
COVID-19 Vaccines Shipped, Delivered, On Hand by ZIP Code - Data Dictionary
Legacy table based on age 5+ denominators up to July 12, 2022.
Statewide COVID-19 Vaccines Administered by Zip Code (Age 5+ archived)
Freshwater harmful algal bloom (HAB) data from the Freshwater Harmful Algal Bloom (FHAB) data system. The FHAB data system is the California State Water Resources Control Board's data system for data and information voluntarily reported to the agency. Bloom reports are voluntary reports submitted by the public or organization to identify a POTENTIAL HAB for evaluation. Bloom Reports may or may not include a report that is confirmed to be a HAB, regardless, all bloom reports are published. Due to the voluntary basis of information and data included in the database, data and information may include: waterbody name and location, potential algal bloom location and observed characteristics, observed field observations and/or analytical sampling results, waterbody and/or land management, general information, recommended advisory status (if any), and updates regarding bloom status. Refer to Data Dictionary and Data Disclaimer for additional information about this dataset. Please visit the Water Boards FHABS web site for more information and data visualizations https://mywaterquality.ca.gov/habs/index.html.
Surface Water - Freshwater Harmful Algal Blooms
Includes information gathered by technical staff during the event response process. This may include investigation of a report and communication to responding organizations.
This is a detailed description of all the data elements included in all provided HABS datasets.
Includes information from manually created cases to group similar reports. Cases are an organizational tool for technical staff and does not reflect on the severity of a report.
This is important information data users have to look at it before going to the dictionary
FHABS Data Disclaimer and Additional Information
Includes information from field-based monitoring and laboratory analysis results. Information can be associated with an entire case or an individual report. Due to limited resources for HAB event response, a substantial time delay is anticipated for upload of this information to the data system. To rapidly determine the investigation status of a report, refer to the web map at: https://mywaterquality.ca.gov/habs/where/freshwater_events.html/
Includes information from individual reports submitted to the agency. Reports include suspected harmful algal blooms and are reviewed by technical staff to determine if an algal bloom is present. The report includes information describing the location, any observations of the area include water surface characteristics, photos, and any known responsible organizations in the area. Technical staff can add additional waterbody information.
Baja Mouse Predicted Habitat - CWHR M234 [ds2629]
California farmers provide nutritious food s to families throughout the state, the nation, and the world. The California Department of Public Health/Women, Infants, and Children Division (CDPH/WIC) supports the consumption of fresh, locally grown fruits and vegetables, and encourages shopping with local farmers at community WIC authorized farmers’ markets. CDPH/WIC authorizes farmers and farmers’ markets for WIC Farmers’ Market Programs. These farmers are also automatically authorized to participate in the California Department of Food and Agriculture’s Senior Farmers’ Market Nutrition Program.
WIC Enabled Farmers and Authorized Farmers Markets
California WIC Authorized Farmer Markets List
DWR has a long history of studying and characterizing California’s groundwater aquifers as a part of [California’s Groundwater (Bulletin 118)](https://water.ca.gov/Programs/Groundwater-Management/Bulletin-118 "California’s Groundwater (Bulletin 118)"). [California's Groundwater Basin Characterization Program](https://water.ca.gov/Programs/Groundwater-Management/Bulletin-118/Basin-Characterization "California's Groundwater Basin Characterization Program") provides the latest data and information about California’s groundwater basins to help local communities better understand their aquifer systems and support local and statewide groundwater management. Under the Basin Characterization Program, new and existing data (AEM, lithology logs, geophysical logs, etc.) are integrated to create continuous maps and three-dimensional models. To support this effort, new data analysis tools have been developed to create texture models, hydrostratigraphic models, and aquifer flow parameters. Data collection efforts have been expanded to include advanced geologic, hydrogeologic, and geophysical data collection and data digitization and quality control efforts will continue. To continue to support data access and data equity, the Basin Characterization Program has developed new online, GIS-based, visualization tools to serve as a central hub for accessing and exploring groundwater related data in California. More information is available on the [Basin Characterization Program webpage](https://water.ca.gov/Programs/Groundwater-Management/Bulletin-118/Basin-Characterization "Basin Characterization Program webpage"). --- # [Maps and Models](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/6b4823ed-e1e6-4a91-b1c6-f88423962f90 "Maps and Models") Integrated datasets are used to develop state‑stewarded maps and 3D models describing aquifer structure, sediment textures, hydrostratigraphy, and groundwater‑flow properties. Products are updated as new data become available. - Texture Models - Hydrostratigraphic Models - Aquifer Recharge Potential Maps - Extent of Corcoran Clay - Base of Freshwater --- # Groundwater Basin Investigations # DWR conducts investigations at multiple scales to develop state‑stewarded maps and models of California’s groundwater basins. ##Local Investigations + [Madera & North Kings](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/8400c923-e18d-4ac5-958b-82f88e5af4f8 "Madera & North Kings"): AEM and tTEM data collection, lithology log digitization, texture model development, aquifer recharge potential mapping analysis. + [Pajaro](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/043aaa87-5c5d-433e-9afe-80f6966ca3ad "Pajaro"): AEM and tTEM data collection + [Western San Joaquin Valley](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/c2633b9c-cd34-445b-ac2d-4a5b49eb881d "Western San Joaquin Valley"): AEM data collection, lithology and geophysical log data digitization, texture model development. + [Prospect Island](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/b96e8832-d8af-416e-abcd-9240f7fb33d4 "Prospect Island"): AEM data collection, FloaTEM data collection test. ##Regional Investigations + [Sacramento Valley](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/fed9f9dd-fd0d-4ef6-a21b-a8835404b3c6 "Sacramento Valley"): AEM data collection, texture model development, aquifer recharge potential mapping analysis. + [Four County Area of San Joaquin Valley (Madera, Fresno, Kings, and Tulare counties) ](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/a19efaf7-c0c0-4816-bcdc-1c1010a38ab3 "Four County Area of San Joaquin Valley (Madera, Fresno, Kings, and Tulare counties) "): AEM data collection, data digitization, texture model development, hydrogeologic conceptual model development, clay delineation, subsidence potential and mitigation, and aquifer recharge potential mapping analysis. + [San Joaquin Valley](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/19ea1234-6545-41c9-aeb2-f655d6599286 "San Joaquin Valley"): AEM data collection, data digitization, texture model development, hydrogeologic conceptual model development, clay delineation, subsidence potential and mitigation, and aquifer recharge potential mapping analysis. ##Statewide Investigations + [Statewide AEM Surveys](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/c9297796-80fb-4a0c-9464-5ec7a12c24bf "Statewide AEM Surveys"): AEM data collection, geophysical and lithology log data digitization. --- # Data Collection & Digitization # ## [Collected Geophysical Data](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/32347fa2-cadb-4994-88aa-6e9a87914c4e "Collected Geophysical Data") Methods include: - Airborne electromagnetics (AEM) - tTEM (towed TEM) - FloaTEM (water‑borne TEM) - Borehole geophysical logging ## [Digitized Lithology and Geophysical Logs](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/942aa75e-8727-4e12-84a6-280b5896f3b0 "Digitized Lithology and Geophysical Logs") Digitized logs support regional and statewide interpretations and are integrated into OSWCR. --- #Analysis Tools and Process Documents Tools and guidance documents support integration and analysis of geologic, geophysical, and hydrogeologic datasets. ##[BCTools](https://data.cnra.ca.gov/dataset/dwr-basin-characterization-bctools ""BCTools") Open‑source tools for hydrostratigraphic modeling, sediment‑texture modeling, and aquifer‑parameter estimation. ##[Aquifer Recharge Potential Mapping](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/7d33d618-38bc-4511-834c-6e791695f8e2 "Aquifer Recharge Potential Mapping") Methodology for identifying locations that have relatively higher potential for managed aquifer recharge. --- # Data Visualization # ##[SGMA Data Viewer: Basin Characterization tab](https://sgma.water.ca.gov/webgis/?appid=SGMADataViewer#basincharacter "SGMA Data Viewer: Basin Characterization tab") Provides maps, profiles, and depth slices of: - Recharge potential - Texture model depth slices - Statewide AEM datasets - Lithology and geophysical log locations - AEM profiles ##[California's Groundwater Subsurface Viewer](https://sgma.water.ca.gov/subsurfaceviewer "California's Groundwater Subsurface Viewer") Interactive 2D/3D views of AEM resistivity, coarse‑fraction data, lithology logs, and related datasets. Demo videos: + [Demo - AEM Data](https://cadwr.box.com/s/n0r66gkq4zoso0n9i6vb2o42uzcoq17s "Demo - AEM Data") + [Demo - tTEM data](https://cadwr.box.com/s/a1mlh8wh2dagya4uahlxsbm9b79x44lp "Demo - tTEM data") --- # Relevant Publications # + California Department of Water Resources, 2025, [California’s Groundwater: Bulletin 118 – Update 2025](https://data.cnra.ca.gov/dataset/calgw_update2025 "California’s Groundwater: Bulletin 118 – Update 2025"), Chapter 3: Natural and Built Groundwater Infrastructure. + Dlubac, K., Springhorn, S., Brezing, B., Altare, C., and T. Godwin, 2024, [California's Statewide Airborne Electromagnetic Surveys and Preliminary Hydrogeologic Interpretations](https://www.conservation.ca.gov/cgs/documents/publications/california-geology-magazine/CG_2024-AEMsurveys.pdf "California's Statewide Airborne Electromagnetic Surveys and Preliminary Hydrogeologic Interpretations"), California's Geology Magazine, pp. 18-31. --- # Presentation Recordings Selected presentation recordings on Basin Characterization Program efforts. + [BCTools Overview](https://cadwr.box.com/s/utu3si1lyyfg9ywbi8c92etp7kl4kaib "BCTools Overview"), Basin Characterization Team, Jack Baer, Woodard and Curran, Vivek Bedekar, SSPA, *Basin Characterization Exchange*, June2026 + [Basin Characterization Program Overview](https://cadwr.box.com/s/ygobghqthe2i98lultjdzqvk3y74f7dp "Basin Characterization Program Overview"), Steven Springhorn and Katherine Dlubac, DWR, *Basin Characterization Exchange*, March 2026 + [Aquifer Recharge Potential Mapping](https://cadwr.box.com/s/1okat2cbl3h75hm1nxtvpjmje2llg95t "Aquifer Recharge Potential Mapping"), Basin Characterization Team, Mesut Cayar, Woodard and Curran, *Basin Characterization Exchange*, April 2025 + [California's Groundwater Bulletin 118 - Update 2025](https://cadwr.box.com/s/wvglzpa4l7nye0f21n03nvzujazs887t "California's Groundwater Bulletin 118 - Update 2025"), Emilia Wisniewski, Mandy Ott, Katherine Dlubac, DWR, *Basin Characterization Exchange*, November 2025 --- # Basin Characterization Exchange # The Basin Characterization Exchange (BCX) is a meeting series and network space for the Basin Characterization community to exchange ideas, share lessons learned, define needed guidance, and highlight research topics. Meetings are generally held the third Tuesday of each month, 12:30–1:30 pm (PST). + [Join the BCX listserv](https://forms.office.com/g/VgNif0iEuE "Join the BCX listserv") - Visit the [BCX Hub](https://cadwr.box.com/v/BasinCharacterizationExchange "BCX Hub") for schedules and materials
The Data2HSM via Gaussian Mixture Model tool ingests the AEM data and groups the data into a user-specified number of clusters that are interpreted as stratigraphic units in the hydrostratigraphic model (HSM). File contains a preliminary description of the Data2HSM via Gaussian Mixture Model tool. Tool expected to be publicly available in Early/Mid 2025.
Analysis Tool - Data2HSM via Gaussian Mixture Model
Data Report (draft) for the tTEM data collected for the Madera and North Kings Local Investigation. The Draft Data Report contains information about data collection and the process to invert for the data for electrical resistivity values vs depth. Data Report to be updated with interpretations of electrical resistivity to texture (as percent coarse-grained material). File updated on 6/17/2026.
Madera & North Kings - tTEM Data Report (Draft)
Digitized lithology and geophysical logging data for the Western San Joaquin Valley Local Investigation. File updated 1/13/2026.
Western San Joaquin Valley - Digitized lithology and geophysical logs
Texture model Version 2024.3 for the Madera & North Kings Local Investigation. Model was developed using [Data2Texture](Data2Texture, Data2HSM, and Texture2Par V.2 "Data2Texture") and includes the integration of texture derived from available AEM data and digitized lithology logs. File updated on 12/19/2024 *** Superseded Data Releases:: * Texture Model Version 2024.2 Email Basin.Characterization@water.ca.gov to request a superseded dataset.
Madera & North Kings - Texture Model Version 2024.3
Digitized lithology and geophysical logging data for the South Kings Groundwater Basin area. File updated 2/2/2026.
South Kings Area - Digitized lithology and geophysical logs
Presented by Steven Springhorn and Katherine Dlubac during the March 2026 Basin Characterization Exchange.
Presentation - Basin Characterization Program Overview
Data Report (Draft) Appendices for the tTEM data collected for the Pajaro Local Investigation. File updated on 6/17/2026.
Madera & North Kings - tTEM Data Report (Draft) Appendices
Data Report (draft) for the tTEM data collected for the Pajaro Local Investigation. The Draft Data Report contains information about data collection and the process to invert for the data for electrical resistivity values vs depth. Data Report to be updated with interpretations of electrical resistivity to texture (as percent coarse-grained material). File updated on 12/4/2024.
Aquifer Recharge Potential (ARP) map V.2024.3 for the Madera & North Kings Local Investigation. ARP maps were developed using the [Local Investigation: Madera/North Kings - Texture model (Version 2024.3)](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/ddd6d0d5-68e7-45c1-b9b1-d88de3cf1276 "Local Investigation: Madera/North Kings - Texture model (Version 2024.3)") Additional information on the ARP mapping process can be found on the [Aquifer Recharge Potential Mapping Process Document](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/7d33d618-38bc-4511-834c-6e791695f8e2 "Aquifer Recharge Potential Mapping Process Document"). File updated on 12/19/2024. *** Superseded Data Releases: * Aquifer Recharge Potential Maps (Version 2024.2) Email Basin.Characterization@water.ca.gov to request a superseded dataset. ***
Madera & North Kings - Aquifer Recharge Potential Maps (Version 2024.3)
Digitized lithology and geophysical logging data for the Kern County portion of the San Joaquin Valley Regional Investigation. File updated 1/13/2026.
Kern County - Digitized lithology and geophysical logs
Technical Memo (draft) for the FloaTEM test data collection effort performed at Prospect Island. The Technical Memo contains information about data collection and the process to invert for the data for electrical resistivity values vs depth, a preliminary interpretation of the data, and a comparison to existing tTEM and AEM data. File updated on 8/14/2025.
Prospect Island - FloaTEM Test Technical Memo (Draft)
Preliminary tTEM data collected in the Madera & North Kings Local Investigation. Dataset includes electrical resistivity values and 3D interpolations of electrical resistivity. Data interpretations coming soon. File updated on 6/23/2026.
Madera & North Kings - tTEM Data (Preliminary)
Data2Texture is an advanced spatial data interpolation and simulation tool for estimating the distribution of sediment textures from AEM. borehole lithology, and geophysical logging data.
Texture2Par Version 2 is a groundwater model pre-processor and parameterization utility tool developed to work with the IWFM and MODFLOW families of hydrologic simulation codes. Texture2Par Version 2 allows for the integration of AEM data into the groundwater flow model parameterization process. Version 2 builds off of [Texture2Par Version 1](https://data.cnra.ca.gov/dataset/svsim/resource/88cbfa06-a2e7-4078-8f76-a1044d32fe70 "Texture2Par Version 1"), utilized in [DWR's Sacramento Valley Groundwater-Surface Water Simulation Model](https://data.cnra.ca.gov/dataset/svsim "DWR's Sacramento Valley Groundwater-Surface Water Simulation Model"). File contains a preliminary description of the Texture2Par Version 2.0 tool. Tool expected to be publicly available in Early 2025.
Digitized lithology and geophysical logging data for the Four County Area Regional Investigation (covering Madera, Fresno, Kings, and Tulare counties). File updated 1/13/2026.
Four County Area- Digitized lithology and geophysical logs
Smart Interpretation (SI) is a semi-automatic Python tool for delineating continuous hydrogeologic surfaces from airborne electromagnetic data products, including inverse resistivity and coarse-fraction models. File contains a preliminary description of the Data2HSM via Smart Interpretation tool. Tool expected to be publicly available in Early 2025.
Analysis Tool - Data2HSM via Smart Interpretation
Aquifer Recharge Potential (ARP) map V.2025.3 for the Sacramento Valley Regional Investigation. ARP maps were developed using the [Sacramento Valley - Texture Model (Version 2025.1)](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/087e6e7c-56cd-443f-a7e4-868428e94d1f "Sacramento Valley - Texture Model (Version 2025.1)") Additional information on the ARP mapping process can be found on the [Aquifer Recharge Potential Mapping Process Document](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/7d33d618-38bc-4511-834c-6e791695f8e2 "Aquifer Recharge Potential Mapping Process Document"). File updated on 8/14/2025.
Sacramento Valley - Aquifer Recharge Potential Maps (Version 2025.1)
Preliminary FloaTEM test data collected as a part of the Prospect Island Local Investigation. Dataset includes electrical resistivity data. File updated on 8/14/2025.
Prospect Island - FloaTEM Test Data (Preliminary)
Data Report Addendum (draft) for the tTEM data collected for the Pajaro Local Investigation. The Data Report Addendum includes the process and interpretations of electrical resistivity for texture (as percent coarse-grained material). See [Pajaro - tTEM Data Report](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/5e3dd3d1-a295-433c-b67b-6f1f8a88dab2 "Pajaro - tTEM Data Report ") for tTEM survey area information and electrical resistivity profiles. File updated 3/20/2025.
Pajaro - tTEM Data Report Addendum (Draft)
###Description The Aquifer Recharge Potential (ARP) Process Document describes the datasets and analyses used to create ARP maps. ARP maps identify locations that have relatively higher potential for managed aquifer recharge (MAR) and are intended to be used as a screening tool. ###Version 2025.2 Publication Date: 10/24/2025 ### Version History Version 2025.2 (Released October 2025): Revised approach for incorporating modified and unmodified SAGBI into the soil conditions sub-indices. Addition of the Shallow (Built) Aquifer Recharge Potential map type. Version 2024.1 (Released October 2024) ###Process Document and Use Disclaimer DWR makes no warranties, representations, or guarantees, either expressed or implied, as to the accuracy, completeness, or correctness of the analytical process provided in this Process Document or related nor accepts or assumes any liability arising from the use of the Process Document. Neither the Department nor any of the data sources, datasets, or maps shall be responsible for any errors or omissions, or for the use or results obtained from using this information. A Groundwater Sustainability Agency is not required to use this Process Document, and its use does not guarantee the adequacy of a Groundwater Sustainability Plan that relies on such analytical processes.
Aquifer Recharge Potential Mapping Process Document (Version 2025.2 - Draft)
Digitized lithology and geophysical logging data for the areas outside of the Madera/North Kings, Western San Joaquin Valley, and Four County Investigation areas. File updated 1/13/2026.
San Joaquin Valley (other) - Digitized lithology and geophysical logs
Appendices for Prospect Island - FloaTEM Test Technical Memo (Draft). File updated on 8/14/2025.
Prospect Island - FloaTEM Test Technical Memo (Draft) Appendices
Texture Model Version 2025.1 for the Sacramento Valley Investigation. Texture Model Version 2025.1 was developed using Data2Texture and includes the integration of digitized lithology logs from SVSim. Data2Texture model files available upon request. File updated on 6/11/2025
Sacramento Valley - Texture Model Version 2025.1
Preliminary tTEM data collected in the Pajaro area. Dataset includes electrical resistivity data and interpretations for texture. File updated on 3/20/2025.
Digitized lithology and geophysical logging data for the Madera & North Kings Local Investigation. File updated 1/13/2026.
Madera & North Kings - Digitized lithology and geophysical logs
## Datasets and Reports All AEM data and reports are available on the CNRA Open Data Portal page: https://data.cnra.ca.gov/dataset/aem ## AEM Flight Line Map A map displaying the location of AEM data collection can be found here: https://data.cnra.ca.gov/dataset/aem/resource/8a020073-20e4-4feb-9271-fe8f76c99a85 ## AEM Data Viewers DWR's AEM 3D and Profile Viewers can be accessed here: https://data.cnra.ca.gov/dataset/aem/resource/29c4478d-fc34-44ab-a373-7d484afa38e8
Digitized lithology and geophysical logging data for the Sacramento Valley Regional Investigation. File updated 6/11/2026.
Sacramento Valley - Digitized lithology and geophysical logs
Data Report (Draft) Appendices for the tTEM data collected for the Pajaro Local Investigation. File updated on 12/4/2024.
Pajaro - tTEM Data Report (Draft) Appendices
The GeoPDNN (Geological Pseudolabel Deep Neural Network) is a semi-supervised machine learning tool that integrates point-based datasets - such as formation picks from lithologic well logs or individual AEM soundings- into plausible stratigraphic surfaces for a preliminary hydrostratigraphic model. File contains a preliminary description of the Data2HSM via GeoPDNN tool. Tool expected to be publicly available in Mid-late 2025.
Sierra Nevada Red Fox (Sierra Nevada DPS) Predicted Habitat - CWHR M147c [ds3360]
Sierra Nevada red fox - Sierra Nevada DPS
Hazardous waste identification (ID) numbers are issued by the U.S. Environmental Protection Agency (Federal EPA ID number) or by the Department of Toxic Substances Control (California State ID number). The ID number identifies each handler of hazardous waste on hazardous waste manifests and other paperwork. The ID number enables regulators to track the waste from its origin to final disposal, a process also referred to as “cradle to grave.” With a few exceptions, most hazardous waste generators must have an ID number before a registered hazardous waste transporter will accept their waste for shipment. All hazardous waste transporters and permitted treatment, storage, and disposal facilities (TSDFs) must have a hazardous waste ID number. For more information, please go to https://dtsc.ca.gov/hazardous-waste-id-numbers/.
California Department of Toxic Substances Control. Office of Environmental Information Management.
California Department of Toxic Substances Control
Big-Eared Woodrat Predicted Habitat - CWHR M233 [ds2628]
Foothill Yellow-Legged Frog (Central Coast DPS) Predicted Habitat - CWHR A043d [ds3353]
foothill yellow-legged frog - central coast DPS
The Clifton Court Forebay (CCF) Predatory Fish Relocation Study (PFRS) was implemented in response to the National Marine Fisheries Service (NMFS) letter dated April 9, 2015. The letter required the California Department of Water Resources (DWR) immediately implement interim measure (a) of condition 3 as part of the larger effort to comply with Reasonable and Prudent Alternative (RPA) Action IV.4.2(2) of the 2009 Biological Opinion and Conference Opinion on the Long-term Operations of the Central Valley Project and State Water Project (NMFS BiOp; NMFS 2009). The PFRS involved capturing and relocating predatory fish from CCF to Bethany Reservoir with the goal of reducing pre-screen loss of protected fish species, particularly Chinook Salmon and steelhead. The PFRS was two years in duration. The Water Year 2019 field season (2019 field season) tested the effectiveness of 5 commercial-type fishing gears and acquired data and other information to advise any gear modifications and method refinements to improve catch effectiveness. The Water Year 2020 field season (2020 field season) incorporated knowledge gained from the 2019 field season to modify and refine the gears and their methodologies to maximize predatory fish capture.
2020 Clifton Court Forebay Predatory Fish Relocation Study
The primary objective of the 2020 field season was to continue to evaluate and improve the effectiveness of 3 commercial-type fishing gears in capturing predatory fish. Predatory fish included black basses, catfish, Striped Bass, and sunfish. One “active” gear, a beach seine, was deployed, pulled through the water, and retrieved by field staff. Two “passive” gears, hoop traps and fyke traps, were placed in the water to collect predatory fish and then retrieved 24-48 hr later. Field work typically occurred 4 days per week between 10/8/2019 and 3/12/2020 with 2-3 gears conducted each day. A fourth gear, a Kodiak trawl net, was planned for use, but delays in receiving a feasible net and early cancellation of field work due to the novel coronavirus pandemic precluded its use.
The datasets contain reimbursement rates paid to participating County Organized Health Systems, Geographic Managed Care, Regional, Senior Care Act (SCAN), Single Plan, and Two-Plan model counties as well as Program of All-Inclusive Care for the Elderly (PACE) organizations for calendar years 2021-2025.
Medi-Cal Managed Care Capitation Rates by Managed Care Plan Models
Medi-Cal Managed Care Capitation Rates for Capitated Rates for Senior Care Action Network (SCAN) – for Calendar Year (CY) 2021-2025. Senior Care Action Network (SCAN) Health Plan is a Medicare Advantage Special Needs Plan that contracts with the Department of Health Care Services for dual eligible Medicare/Medi-Cal population subset residing in Los Angeles, San Bernardino, and Riverside counties. __See Calendar Year tabs for changes throughout the years.__ __For archived data, please refer to the historical landing page at [Medi-Cal Managed Care Capitation Rates - Senior Care Action Network (SCAN)](https://data.chhs.ca.gov/dataset/medi-cal-managed-care-capitation-rates-senior-care-action-network-scan)__
This dataset displays reimbursement rates paid to Medi-Cal Managed Care health plans in Two-Plan model counties from 2021-2024 Calendar Year. In Two-Plan model counties, the Department of Health Care Services (DHCS) contracts with a local initiative (county organized) and a commercial plan. __See Calendar Year tabs for changes throughout the years.__ __For archived data, please refer to the historical landing page at [Medi-Cal Managed Care Capitation Rates – Two-Plan Model](https://data.chhs.ca.gov/dataset/medi-cal-managed-care-capitation-rates-two-plan-model) and [Medi-Cal Managed Care Supplemental Rates - Hepatitis C](https://data.chhs.ca.gov/dataset/medi-cal-managed-care-supplemental-rates-hepatitis-c)__
Medi-Cal Managed Care Capitation Rates for the single plan models for Calendar Year 2024. DHCS contracts with an MCP that operates under the authorization and sponsorship of a county or local authority. __See Calendar Year tabs for changes throughout the years.__
Medi-Cal Managed Care Capitation Rates – Geographic Managed Care (GMC) for Calendar Years 2021-2024. Medi- Cal managed care health plans in the Sacramento and San Diego counties. __See Calendar Year tabs for changes throughout the years.__ __For archived data, please refer to the historical landing page at [Medi-Cal Managed Care Capitation Rates - Geographic Managed Care (GMC)](https://data.chhs.ca.gov/dataset/medi-cal-managed-care-capitation-rates-geographic-managed-care-gmc) and [Medi-Cal Managed Care Supplemental Rates - Hepatitis C](https://data.chhs.ca.gov/dataset/medi-cal-managed-care-supplemental-rates-hepatitis-c)__
This dataset displays reimbursement rates paid to Medi-Cal Managed Care health plans in the Regional model, for Calendar Years 2021-2024. The Regional Model serves beneficiaries in 28 rural counties: Alpine, Amador, Butte, Calaveras, Colusa, Del Norte, El Dorado, Glenn, Humboldt, Inyo, Imperial, Lake, Lassen, Mariposa, Mendocino, Modoc, Mono, Nevada, Placer, Plumas, San Benito, Sierra, Siskiyou, Sutter, Tehama, Trinity, Tuolumne, and Yuba. The Department of Health Care Services (DHCS) contracts with two Commercial plans to provide services in each county. San Benito is the only exception where beneficiaries can choose either the managed care plan or (fee-for-service) Medi-Cal. __See Calendar Year tabs for changes throughout the years.__ __For archived data, please refer to the historical landing page at [Medi-Cal Managed Care Capitation Rates – Regional Model/Rural Expansion](https://data.chhs.ca.gov/dataset/medi-cal-managed-care-capitation-rates-regional-model-rural-expansion)__
This is the methodology of each model by year of managed care rate changes.
Medi-Cal Managed Care Capitation Rates - Read Me
This dataset displays reimbursement rates paid to Medi-Cal Managed Care health plans in the COHS model for Calendar Years 2021-2025. The COHS serves beneficiaries in 22 counties. In the COHS model counties, the Department of Health Care Services (DHCS) contracts with a health plan created by the county Board of Supervisors. In a COHS county, all Medi-Cal members are enrolled in the same managed care health plan. __See Calendar Year (CY) tabs for changes throughout the years.__ __For archived data, please refer to the historical landing page at [Medi-Cal Managed Care Capitation Rates – County Organized Health Systems (COHS) Model](https://data.chhs.ca.gov/dataset/medi-cal-managed-care-capitation-rates-county-organized-health-systems-cohs-model) and [Medi-Cal Managed Care Supplemental Rates - Hepatitis C](https://data.chhs.ca.gov/dataset/medi-cal-managed-care-supplemental-rates-hepatitis-c)__
County Organized Health Systems (COHS) Model
The dataset contains reimbursement rates paid to participating Program of All-Inclusive Care for the Elderly (PACE) organizations for calendar years 2021-2024. To be eligible for the PACE program, a person must be 55 years of age or older and reside in one of the following PACE service areas: Alameda, Contra Costa, Fresno, Humboldt, Los Angeles, Orange, Riverside, Sacramento, San Bernardino, San Diego, San Francisco, San Joaquin, Santa Clara, Stanislaus. __See Calendar Year tabs for changes throughout the years.__ __For archived data, please refer to the historical landing page at [Program of All-Inclusive Care for the Elderly (PACE) Rates](https://data.chhs.ca.gov/dataset/program-of-all-inclusive-care-for-the-elderly-pace-rates)__
Program of All-Inclusive Care for the Elderly (PACE) Rates
The Clifton Court Forebay (CCF) Predator Reduction Electrofishing Study (PRES) was implemented in response to the National Marine Fisheries Service (NMFS) letter dated April 9, 2015, requiring that the California Department of Water Resources (DWR) immediately implement interim measure (a) of condition 3 as part of the larger effort to comply with Reasonable and Prudent Alternative (RPA) Action IV.4.2(2) of the 2009 Biological Opinion and Conference Opinion on the Long-term Operations of the Central Valley Project and State Water Project. The PRES length was three years, beginning with a pilot year effort in 2016, a 2017 effort to refine methods and determine the main factors affecting predator catch, particularly spatial patterns, and a 2018 effort focused on maximizing predator removal based on knowledge gained during the 2016 and 2017 campaigns. The PRES involved electroshocking and removing predators from CCF and transporting them to Bethany Reservoir with the goal of decreasing pre-screen loss of protected fish species with an emphasis on Chinook Salmon and steelhead. During the 2017 field effort we focused on refining methods based on lessons learned and recommendations from the 2016 effort, determining spatial and temporal patterns in predator catch rates using a standardized electrofishing sampling regime, and assessing environmental variables that may affect catch rates. In addition, we assessed factors contributing to mortality of predators transported to Bethany Reservoir and conducted preliminary analysis to evaluate evidence of black bass depletion in shoreline habitats; it is important to emphasize that predator depletion was not a PRES objective in 2017, but was informative for the 2018 season.
2017 Clifton Court Forebay Predator Reduction Electrofishing Study
Electrofishing occurred at CCF on 39 days between January 23 and June 15, 2017. Due to damage and subsequent construction to repair the CCF intake radial gates (radial gates), no sampling occurred between March 10 and April 24, 2017. During the 39 field days, a total of 145 unique electrofishing samples, defined as a single electrofishing boat fishing in a single sampling section for a specific period, occurred for a total of 239.27 hours on the water and 167.77 hours of active electrofishing, when electricity was being applied to the water column.
__Note__: In these datasets, a person is defined as up to date if they have received at least one dose of an updated COVID-19 vaccine. The Centers for Disease Control and Prevention (CDC) recommends that certain groups, including adults ages 65 years and older, receive additional doses. On 6/16/2023 CDPH replaced the booster measures with a new “Up to Date” measure based on CDC’s new recommendations, replacing the primary series, boosted, and bivalent booster metrics The definition of “primary series complete” has not changed and is based on previous recommendations that CDC has since simplified. A person cannot complete their primary series with a single dose of an updated vaccine. Whereas the booster measures were calculated using the eligible population as the denominator, the new up to date measure uses the total estimated population. Please note that the rates for some groups may change since the up to date measure is calculated differently than the previous booster and bivalent measures. This data is from the same source as the Vaccine Progress Dashboard at https://covid19.ca.gov/vaccination-progress-data/ which summarizes vaccination data at the county level by county of residence. Where county of residence was not reported in a vaccination record, the county of provider that vaccinated the resident is included. This applies to less than 1% of vaccination records. The sum of county-level vaccinations does not equal statewide total vaccinations due to out-of-state residents vaccinated in California. These data do not include doses administered by the following federal agencies who received vaccine allocated directly from CDC: Indian Health Service, Veterans Health Administration, Department of Defense, and the Federal Bureau of Prisons. Totals for the Vaccine Progress Dashboard and this dataset may not match, as the Dashboard totals doses by Report Date and this dataset totals doses by Administration Date. Dose numbers may also change for a particular Administration Date as data is updated. Previous updates: * On March 3, 2023, with the release of HPI 3.0 in 2022, the previous equity scores have been updated to reflect more recent community survey information. This change represents an improvement to the way CDPH monitors health equity by using the latest and most accurate community data available. The HPI uses a collection of data sources and indicators to calculate a measure of community conditions ranging from the most to the least healthy based on economic, housing, and environmental measures. * Starting on July 13, 2022, the denominator for calculating vaccine coverage has been changed from age 5+ to all ages to reflect new vaccine eligibility criteria. Previously the denominator was changed from age 16+ to age 12+ on May 18, 2021, then changed from age 12+ to age 5+ on November 10, 2021, to reflect previous changes in vaccine eligibility criteria. The previous datasets based on age 16+ and age 5+ denominators have been uploaded as archived tables. * Starting on May 29, 2021 the methodology for calculating on-hand inventory in the shipped/delivered/on-hand dataset has changed. Please see the accompanying data dictionary for details. In addition, this dataset is now down to the ZIP code level.
COVID-19 Vaccine Progress Dashboard Data
Legacy data set with Booster metric. Replaced with "Up to Date" CDC metric on 6/27/2023.
COVID-19 Vaccines Administered By Demographics (Booster Metric archived)
Legacy table based on age 16+ denominators up to May 17, 2021.
COVID-19 Vaccines Administered By Demographics By County (Age 16+ archived)
COVID-19 Vaccines Administered By VEM Quartile (Age 5+ archived)
Statewide COVID-19 Vaccines Administered By County
COVID-19 Vaccines Administered By Demographics By County (2024-2025 updated vaccine archived)
Statewide COVID-19 Vaccines Administered By County (Booster Metric archived)
If you need more information on the dataset data dictionary, please visit the data dictionaries on our CAIR website: https://www.cdph.ca.gov/Programs/CID/DCDC/CAIR/Pages/CAIR-records-LHD-COVID.aspx
COVID-19 Vaccinations By Demographics - Data Dictionary
COVID-19 Vaccines Administered By HPI Quartile (Booster Metric archived)
COVID-19 Vaccines Administered By Demographics By County (Age 5+ archived)
COVID-19 Vaccines Administered By Demographics (2023-2024 updated vaccine archived)
Legacy table based on previous "On Hand" metric up to May 28, 2021.
COVID-19 Vaccines Shipped, Delivered, On Hand (archived)
COVID-19 Vaccines Administered By HPI Quartile - Data Dictionary
COVID-19 Vaccines Administered By HPI Quartile (2024-2025 updated vaccine archived)
COVID-19 Vaccines Administered By Demographics By County
COVID-19 Vaccines Administered By VEM Quartile
COVID-19 Vaccines By Demographics by County - Data Dictionary
COVID-19 Vaccines Administered By VEM Quartile (Age 16+ archived)
COVID-19 Vaccines Administered By HPI Quartile (2023-2024 updated vaccine archived)
COVID-19 Vaccines Administered By Demographics (2024-2025 updated vaccine archived)
Statewide COVID-19 Vaccines Administered By County (2024-2025 updated vaccine archived)
COVID-19 Vaccines Administered By Demographics
COVID-19 Vaccines Administered By HPI Quartile
COVID-19 Vaccines Administered By Demographics By County (2023-2024 updated vaccine archived)
COVID-19 Progress Dashboard Data Dictionary
COVID-19 Vaccines Shipped and Delivered - Data Dictionary
COVID-19 Vaccines Administered By Demographics By County (Booster Metric archived)
Statewide COVID-19 Vaccines Administered By County (2023-2024 updated vaccine archived)
Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspx The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses and certifies more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a CDPH data system created to manage state licensing-related data and enforcement actions. This file includes California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification. To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. Facility geographic variables are updated monthly, if latitude/longitude information is missing at any point in time, it should be available when the next time the Open Data facility file is refreshed. Please note that the file contains the data from ELMS as of the 11th business day of the month. See DATA_DATE variable for the specific date of when the data was extracted.
Licensed and Certified Health Care Facilities
The Clifton Court Forebay (CCF) Predatory Fish Relocation Study (PFRS) was implemented in response to the National Marine Fisheries Service (NMFS) letter dated April 9, 2015. The letter required the California Department of Water Resources (DWR) to immediately implement interim measure (a) of condition 3 as part of the larger effort to comply with Reasonable and Prudent Alternative (RPA) Action IV.4.2(2) of the 2009 Biological Opinion and Conference Opinion on the Long-term Operations of the Central Valley Project and State Water Project (NMFS BiOp; NMFS 2009). The PFRS was two years in duration. The 2019 field season was an initial attempt to test the effectiveness of five commercial-type fishing gears and to acquire the necessary information to advise any gear modifications and method refinements to improve catch effectiveness. The PFRS involved capturing and relocating predators from CCF to Bethany Reservoir with the goal of decreasing pre-screen loss of protected fish species with an emphasis on Chinook Salmon and steelhead. Predatory fish included black basses, catfish, and Striped Bass. Three “active” gears (beach seines, lampara nets, Kodiak trawls) were deployed, pulled through the water, and retrieved by field staff. Two “passive” gears (hoop traps and fyke traps) were placed in the water for ~24 h for each sample to collect predatory fish and then retrieved by field staff. Field work typically occurred 4 days per week between 3/1/2019 and 6/4/2019 with 3-4 gears conducted each day.
2019 Clifton Court Forebay Predatory Fish Relocation Study
Predatory fish included black basses, catfish, and Striped Bass. Three “active” gears (beach seines, lampara nets, Kodiak trawls) were deployed, pulled through the water, and retrieved by field staff. Two “passive” gears (hoop traps and fyke traps) were placed in the water for ~24 h for each sample to collect predatory fish and then retrieved by field staff. Field work typically occurred 4 days per week between 3/1/2019 and 6/4/2019 with 3-4 gears conducted each day.
The Making Conservation a California Way of Life regulation requires urban retail water suppliers (URWS) to annually calculate their Urban Water Use Objective (UWUO), which is the sum of efficiency budgets for a subset of urban water uses: residential indoor water use, residential outdoor water use, real water loss and commercial, industrial and institutional landscapes with dedicated irrigation meters. Each efficiency budget will be calculated using a statewide efficiency standard and local service area characteristics such as population, climate, and landscape area. Where relevant, suppliers may also include in their objective “variances” for unique uses, or a bonus incentive for potable recycled water use. This dataset contains information gathered from reports submitted to the State Water Board, the Department of Water Resources, and other relevant information sources. It also contains information derived by the Board and the Department for the purpose of the regulation. The values in these tables are used to pre-fill a number of fields within the UWUO reporting form that URWS are required to submit by January 1 of each year, starting in 2025. To view the submitted values, please visit [this page](https://data.ca.gov/dataset/urban-water-use-objectives-compiled-report-data).
Urban Water Use Objectives – Relevant Data
Making Conservation a California Way of Life
This table is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Variance and Temporary Provisions Request Form. It tracks the dates of submission, approval statuses and approval dates for variances or temporary provisions.
Submissions and Approvals for Variances and Temporary Provisions
The Water Conservation Act of 2009 (Senate Bill X7-7) was enacted in November 2009 and required that all water suppliers increase their water use efficiency. Water Code section 10608.20 directed urban retail water suppliers (suppliers) to develop 2020 urban water use targets. This table contains the suppliers’ individual SB X7-7 targets. Because some suppliers deducted discrete demands from gross water use when calculating their 2020 urban water use targets, the table also contains the volume of those deducted demands, specifically for indirect recycled water and process water. Water Code section 10608.20(a)(1) and 10608.28 provided that suppliers may plan, comply, and report on a regional basis, individual basis, or both. Each group of water suppliers agreeing among themselves to plan, comply, and report as a region is referred to as a “regional alliance.” For those suppliers that took part in a regional alliance, this table also lists the regional alliance name and indicates whether the regional alliance has met its target. All data within this table were derived from the [2020 Urban Water Management Plans Open Data](https://data.ca.gov/dataset/2020-uwmp-data-export-tables), which were created using data submitted by suppliers to Department. Specifically, this table was created using the following fields: * Individual SB X7-7 target from Tab SB_X7-7_CF_Table_9, column K * Indirect recycled water volume from Tab SB_X7-7_CF_Table_4, column J * Process water volume from Tab SB_X7-7_CF_Table_4, column L * Recycled and process water units from Tab SB_X7-7_VF_Table_0, column F * Regional alliance name from Tab SB_X7-7_CF_Table_9 * Whether the regional alliance met its target Tab Regional_Alliance_Summary, column F As described in the [2020 Urban Water Management Guidebook](https://water.ca.gov/-/media/DWR-Website/Web-Pages/Programs/Water-Use-And-Efficiency/Urban-Water-Use-Efficiency/Urban-Water-Management-Plans/Final-2020-UWMP-Guidebook/UWMP-Guidebook-2020---Final-032921.pdf)[(Appendix P.3.2)](https://water.ca.gov/-/media/DWR-Website/Web-Pages/Programs/Water-Use-And-Efficiency/Urban-Water-Use-Efficiency/Urban-Water-Management-Plans/Final-2020-UWMP-Guidebook/Appendix-P---UWMP-2020.pdf), a supplier’s target may be updated if its service area has changed because of a consolidation, merger, annexation, expansion, or contraction. To learn more about this process, please e-mail [uwmphelp@water.ca.gov](mailto:uwmphelp@water.ca.gov).
SB X7-7 Targets for Urban Retail Water Suppliers
Consistent with California Code of Regulations title 23 §980 through §986, urban retail water suppliers are required to comply with real water loss standards. This table contains the real water loss standards for public water systems owned and operated by urban retail water suppliers. The list of public water systems in this resource is based on the PWSID-DWRID crosswalk resource that is also a part of the [Urban Water Use Objectives dataset and the April 9, 2024 water loss standards](https://www.waterboards.ca.gov/conservation/water_loss_control.html). Consistent with §984 of the California Code of Regulations, default parameters in the economic model used to generate system-specific standards may be updated, upon supplier request. To submit a request for an update, please email [DDW-WaterLossControl@waterboards.ca.gov](mailto:DDW-WaterLossControl@waterboards.ca.gov).
Real Water Loss Budget: System-Specific Standards
This version of the table removes all rows but approved residential indoor variances and temporary provisions for the given reporting year.
Updated Residential Indoor Variances and Temporary Provisions
This table is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Variance and Temporary Provisions Request Form. It tracks which suppliers have approved variances for responding to state or local emergencies and/or for landscapes irrigated with recycled water containing high levels of total dissolved solids, as well as maintaining a record of the submitted and approved data points.
Emergency and High Total Dissolved Solids (TDS) Variances
This table removes extraneous rows and adds start and end dates to approvals
Updated Submissions and Approvals for Variances and Temporary Provisions
This is an update to the existing [PWSID-DWR ID Crosswalk](https://data.ca.gov/dataset/urban-water-use-objectives-conservation/resource/dc42f085-75d8-48e0-b795-8ede6ee576c2) that has better handling of consolidations and systems being added or removed from reporting. This crosswalk will be utilized for the FY2025-2026 UWUO report onwards, as well as updated versions of prior reports.
This table includes a subset of information related to water loss and water system parameters, as reported by water systems in the water loss audits submitted to the Department. The water audit data are available on the [WUE Data Portal](https://wuedata.water.ca.gov/awwa_export) or the [CNRA Open Data Portal](https://data.cnra.ca.gov/dataset/ca-urban-retail-water-system-water-annual-loss-audit-data). This table draws from the following fields: * Reporting start and end dates * Volume of real water losses, in acre-feet * Number of service connections * Length of mains * Audit status This table includes data for public water systems owned and operated by urban retail water suppliers. The list of public water systems in this resource is based on the PWSID-DWRID crosswalk resource that is also a part of the Urban Water Use Objectives dataset. Consistent with Water Code section §10608.34, urban retail water suppliers are required to submit to the Department completed and validated water loss audits. California Code of Regulations section 638.5 identifies annual reporting requirements, which include the system-specific data entered into each field of the AWWA Free Water Audit Software. To submit or update an annual water loss report, please email [WaterLoss@water.ca.gov](mailto:WaterLoss@water.ca.gov).
Real Water Loss: Data from Water Loss Audits
This table is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Variance and Temporary Provisions Request Form. It tracks which suppliers have one or more approved variances or temporary provisions for residential outdoor water use, as well as maintaining a record of the submitted and approved data points.
Residential Outdoor Variances and Temporary Provisions
Updated table that removes all rows but approved residential outdoor variances
Updated Residential Outdoor Variances and Temporary Provisions
Release from the Department of Water Resources, containing a summary table of II, INI, and NI irrigation status classes, as well as horse corral areas, agricultural areas, and pool areas for all urban retail water suppliers. This table also includes alternative values for these fields when applicable, as well as values for special landscape areas (SLAs) and new construction. See the source page [here](https://data.cnra.ca.gov/dataset/dwr-urban-water-use-objective-data/resource/c45c90f7-fadb-45a8-b223-0d4c687c0c4c). To submit alternative data for consideration, contact [WUEStandards@water.ca.gov](mailto:WUEStandards@water.ca.gov).
Res-Outdoor Budget: Landscape Area Measurement
Consistent with Health and Safety Code section 116530 and California Code of Regulations title 22 §64412, public water systems report the population served during a specified reporting period and the population type, which can be reported as either Residential (R), Non-Transient (N), Transient (T), or Wholesale (W). This table contains residential (R) population data for public water systems owned and operated by urban retail water suppliers. ["Residential"](https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/documents/ear/ear-help-tips.pdf) refers to the number of persons who reside within the water system service area for more than half of the year. For each system, the R-population value represents the most recently reported and most contemporary value for the prior state fiscal year (July to June), as denoted in the FY_START_DATE and FY_END_DATE columns. Public Water System data, including population, can be viewed using [Drinking Water Watch](https://sdwis.waterboards.ca.gov/PDWW/). If the population values identified in this dataset need to be revised, please contact the appropriate State Water Resources Control Board’s Division of Drinking Water [district office](https://www.waterboards.ca.gov/drinking_water/programs/documents/ddwem/DDWdistrictofficesmap.pdf) and update accordingly. The Division of Drinking Water has documented the procedure to request population changes outside of the Electronic Annual Report [here](https://data.ca.gov/dataset/c69ac02b-adfb-459a-bc58-bf69a8b572d2/resource/0ba8a039-9459-4796-916d-179cf0da6173/download/guidance_changing-population-procedure.pdf).
Res-Indoor Budget: SDWIS Residential Population
This table contains fields from potable and non-potable water demand data reported by public water systems owned and operated by urban retail water suppliers. The list of public water systems in this resource is based on the PWSID-DWRID crosswalk resource that is also a part of the Urban Water Use Objectives dataset. Consistent with Health and Safety Code section 116530, public water systems submit a technical report to the Board in a form and format and at intervals specified by the state; these data are submitted through the [SAFER Clearinghouse](https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/clearinghouse_drought_conservation_reporting.html). For each system, the table includes potable and non-potable water use data, if provided by the supplier. All values have been converted to gallons by State Water Board staff. If the values identified in this dataset need to be revised, a supplier may reopen an already submitted report in the SAFER Clearinghouse to revise and re-submit. For more instructions on how to revise a report, consult the Clearinghouse Reporting User Guide [found here](https://www.waterboards.ca.gov/drought/resources-for-drinking-water-systems/docs/clearinghouse-reporting-user-guide.pdf).
Potable and Non-Potable Water Deliveries for URWS
This is an updated version of the [Landscape Area Measurement](https://data.ca.gov/dataset/urban-water-use-objectives-conservation/resource/7ca821b9-dbf8-404a-b210-9c6df1bbb58e) table which has better handling for approved alternative data and SLA/new construction requests.
This table contains fields from per-source production data reported by public water systems owned and operated by urban retail water suppliers. The list of public water systems in this resource is based on the PWSID-DWRID crosswalk resource that is also a part of the Urban Water Use Objectives dataset. Consistent with Health and Safety Code section 116530, public water systems submit a technical report to the Board in a form and format and at intervals specified by the state; these data are submitted through the [SAFER Clearinghouse](https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/clearinghouse_drought_conservation_reporting.html). For each system, the table includes production data for each individual source, as well as associated information about the facility that produced the reported water. If the values identified in this dataset need to be revised, a supplier may reopen an already submitted report in the SAFER Clearinghouse to revise and re-submit. For more instructions on how to revise a report, consult the Clearinghouse Reporting User Guide [found here](https://www.waterboards.ca.gov/drought/resources-for-drinking-water-systems/docs/clearinghouse-reporting-user-guide.pdf).
Potable Water Produced by URWS, per Source
This table contains the number of metered and unmetered commercial and institutional (CI), industrial (I), and landscape irrigation (LI) service connections from the Electronic Annual Report (EAR). The list of public water systems in this resource is based on the PWSID-DWRID crosswalk resource that is also a part of the Urban Water Use Objectives dataset.
This table is a compilation of the data submitted by urban retail water suppliers to the State Water Board via the Variance and Temporary Provisions Request Form. It tracks which suppliers have one or more approved variances or temporary provisions for residential indoor water use, as well as maintaining a record of the submitted and approved data points.
Residential Indoor Variances and Temporary Provisions
This table contains fields from potable supply and water sold/exported data reported by public water systems owned and operated by urban retail water suppliers. The list of public water systems in this resource is based on the PWSID-DWRID crosswalk resource that is also a part of the Urban Water Use Objectives dataset. Consistent with Health and Safety Code section 116530, public water systems submit a technical report to the Board in a form and format and at intervals specified by the state; these data are submitted through the [SAFER Clearinghouse](https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/clearinghouse_drought_conservation_reporting.html). For each system, the table includes potable water use data, as well as volumes sold or exported to other entities, if provided by the supplier. All values have been converted to gallons by State Water Board staff. If the values identified in this dataset need to be revised, a supplier may reopen an already submitted report in the SAFER Clearinghouse to revise and re-submit. For more instructions on how to revise a report, consult the Clearinghouse Reporting User Guide [found here](https://www.waterboards.ca.gov/drought/resources-for-drinking-water-systems/docs/clearinghouse-reporting-user-guide.pdf).
Potable Supply and Sold/Exported for URWS
This dataset is a draft crosswalk, indicating which public water systems are owned and operated by which urban retail water suppliers. “Urban retail water supplier” means a water supplier, either publicly or privately owned, that directly provides potable municipal water to more than 3,000 end users or that supplies more than 3,000 acre-feet of potable water annually at retail for municipal purposes. The Department of Water Resources has assigned each Urban Retail Water Suppliers a unique "Organization Identification." Urban Retail Water Suppliers in California operate one or more public water systems. A “public water system” means a system for the provision of water for human consumption through pipes or other constructed conveyances. The State Water Resources Control Board has assigned each public water system a unique "public water system identification." This dataset connects each Supplier's "Organization Identification" number to its "public water system identification" number or numbers. Systems identified in this crosswalk may not be relevant to the water loss or "Conservation as a Way of Life" regulations. Contact [orpp-waterconservation@waterboards.ca.gov](mailto:orpp-waterconservation@waterboards.ca.gov) for any questions or corrections to this crosswalk.
This file contains weighted average annual ETo, total precipitation, and Peff data on a fiscal year basis at the service area level for suppliers that have received their residential Landscape Area Measurement results from the Department of Water Resources. The tables from which this dataset have been compiled are released by the Department of Water Resources per fiscal year at [this page](https://data.cnra.ca.gov/dataset/dwr-urban-water-use-objective-data). To submit alternative data for consideration, contact [WUEStandards@water.ca.gov](mailto:WUEStandards@water.ca.gov).
Seasonal ETo, Peff, and ETF data are provided for calculating agricultural variances for suppliers that have qualifying urban agriculture acreage in their service area. Seasonal values are weighted average values that are calculated based on crop acreages within the service area boundaries. Crop acreages are derived from DWR’s land use data layer ([CADWR Land Use Viewer](https://gis.water.ca.gov/app/CADWRLandUseViewer/?page=home)). The evapotranspiration fraction (ETF) was calculated from weighted average values of crop coefficient (Kc) and irrigation efficiency (IE), which are also provided in this file. The tables from which this dataset have been compiled are released by the Department of Water Resources per fiscal year at [this page](https://data.cnra.ca.gov/dataset/dwr-urban-water-use-objective-data).
The California Department of Water Resources (DWR) conducted the Juvenile Salmonid Collection System (JSCS) Pilot Project from 2022 — 2025 to test new methods in fish capture and collect juvenile winter-run Chinook Salmon in the McCloud River (Wintu name: Winnemem Waywaket) as part of the greater effort to assess the feasibility of Chinook Salmon reintroduction above Shasta Dam. The goal of the JSCS Pilot Project was to test the performance of the JSCS structure in the McCloud Arm of Shasta Reservoir and to design, fabricate, and test configurations of the JSCS fish trap. DWR tested initial structural components of the JSCS in Shasta Reservoir in 2022 and operated the complete system at five sites across the reservoir–riverine interface in the McCloud Arm of Shasta Reservoir 2023 — 2024. Based on the results for those years, DWR redesigned the trap (JSCS V2) and deployed it in riverine conditions downstream of the McCloud Bridge Campground between September 30 — December 1, 2025. This dataset summarizes the data collected for the pilot study including environmental data collected on and around the JSCS fish trap, structural performance data for the JSCS fish trap, and fish capture data from the JSCS fish trap. __Suggested Citation__: California Department of Water Resources. 2026. _Juvenile Salmonid Collection System (JSCS) Pilot Project fish and environmental data—McCloud River and Shasta Reservoir (2022–2025)_. California Department of Water Resources. https://data.cnra.ca.gov/dataset/jscs-pilot-project-2022-2025. Accessed [Month Day, Year].
Juvenile Salmonid Collection System (JSCS) Pilot Project Fish and Environmental Data – McCloud River and Shasta Reservoir (2022–2025)
The standard operating procedures (SOP) followed to verify the accuracy of the HOBO serial loggers.
Fork length (mm) of fish species and other information for individual fish caught and measured from the JSCS fish trap.
The SOP used to measure water quality for the JSCS pilot study.
Aerial imagery of the JSCS during operations.
The efficiency calculations for each mark-recapture trial of the JSCS.
JSCS 2023-2025 Efficiency Trials Dataset
The SOP used for JSCS efficiency trials.
Contents of the stomachs and other information about the predatory fish caught at the JSCS trap
JSCS 2023-2025 Fish Stomach Contents Dataset
The SOP used to maintain and calibrate the YSI ProDSS (ProDSS) in the field; the meter was calibrated weekly.
Calibration and Maintenance for Multi-Parameter Water Quality Instruments (ProDSS)
The water velocity (ft/s) measurements taken each morning prior to and after fishing the JSCS fish trap.
JSCS 2023-2025 Water Velocity Pre-fishing Dataset
Weather data collected from weather stations installed at Hirz Bay and near the JSCS in the McCloud River. Air temperature (˚F), rain (in), wind speed (mi/h), gust speed (mi/h), wind direction (deg), solar radiation (W/m^2), relative humidity (%), and air pressure (inHg) were measured every 30 minutes during each study season.
The number of Fish caught by the JSCS trap per day with details on lifestage, mark status, condition, injuries, mortalities, and disposition.
The SOP used to inspect the JSCS structure.
Water temperature (degrees C) at different depths was measured in the McCloud River and arm of the Shasta Reservoir from September until January at the latest during 2023 - 2025; temperature was measured using HOBO pendant sensors arrayed vertically on line attached at fixed depths to a buoy and anchor, sampling continuously (15 minute intervals) during deployment. Depth was measured in feet relative to either the bed (B) or surface (S). Sensors were checked weekly when possible to download data, verify sensor functionality and reset buoy location. Sensor accuracy was verified following DWR-1-SOP-002_v2.0_Thermometer Accuracy Verification SOP. Dataset quality control was completed on March 13, 2026.
JSCS 2023-2025 Temperature Buoys Dataset
The SOP used to process fish trapped by the JSCS.
The standard operating procedures (SOP) used to calibrate and maintain the YSI EXO2 meter.
Calibration and Maintenance for Multi-Parameter Water Quality Instruments (EXO)
Continuous water quality measurements (Temperature, dissolved Oxygen concentration and saturation, turbidity, specific conductivity, pH) taken from a fixed location and depth on the JSCS trap platform using a YSI EXO2 meter.
The standard operating procedures (SOP) used to capture hydraulic data about the JSCS.
Water depth (ft) taken at different locations on the JSCS trap platform prior to fishing the trap.
JSCS 2023-2025 Water Depth Pre-fishing Dataset
The standard operating procedures (SOP) used for JSCS drone flights.
Water quality measured discretely inside the JSCS trap each morning prior to fishing the trap (temperature, dissolved Oxygen concentration and saturation, and turbidity) using a YSI ProDSS meter. The meter was calibrated weekly in the field following DWR-1-SOP-010_v2.0_Calibration and Maintenance for Multi-Parameter Water Quality Instruments (ProDSS).
JSCS 2023-2025 Pre-fishing Discrete Water Quality Dataset
Cal-ITP collects the GTFS feeds from a statewide list every night and aggregates it into a statewide table for analysis purposes only. Do not use for trip planner ingestion, rather is meant to be used for statewide analytics and other use cases. Note: These data may or may or may not have passed GTFS-Validation
This table is a latest-only cut of the cleaned GTFS data. It contains current-only data for agencies we are currently scraping. Each row is a cleaned row from a trips.txt file. Definitions for the original GTFS fields are available at: https://gtfs.org/reference/static#tripstxt.
This table is a latest-only cut of the cleaned GTFS data. It contains current-only data for agencies we are currently scraping. Each row is a cleaned row from a shapes.txt file. Definitions for the original GTFS fields are available at: https://gtfs.org/reference/static#shapestxt.
This table is a latest-only cut of the cleaned GTFS data. It contains current-only data for agencies we are currently scraping. Each row is a cleaned row from a stop_times.txt file. Definitions for the original GTFS fields are available at: https://gtfs.org/reference/static#stop_timestxt.
Data dictionary for Cal-ITP GTFS schedule dataset.
Foothill Yellow-Legged Frog (South Coast DPS) Predicted Habitat - CWHR A043f [ds3355]
foothill yellow-legged frog - south coast DPS
The Grant Information Act of 2018 (Stats. 2018, Ch. 318) required the State Library to build one website by July 1, 2020, “that provides a centralized location … to find state grant opportunities.” State agencies provide all information on grants.ca.gov to the State Library for publication. The Grant Information Act requires state agencies to provide summaries of each of their grant or loan opportunities, including information about how to apply and links that grantseekers can follow for more details. *FYI* If you're not familiar with data.ca.gov, you can download the csv and find the API call by clicking on the "Explore" button below. *Note*: the data set updates every 24 hours at 8:45pm.
California Grants Portal- Grants Offered
California Grants Portal - Updated Daily
<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>CalHeatScore is a heat-health ranking system that translates 7-day weather forecasts into easy-to-understand heat scores ranging from 0-4 to indicate increasing levels of health risks due to extreme heat at the zip code level. This layer contains the 7-day forecast of heat scores, updated daily approximately at 5 and 8am Pacific Time. The CA GeoPortal site provides downloadable files of the data, which are updated daily at 8am. Click on this link to go directly to the <a style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:"Noto Serif", serif; font-size:16.8px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration:none; text-indent:0px; text-transform:none; word-spacing:0px;' target='_blank' href='https://experience.arcgis.com/experience/7fe16481f14646b4a167861962ab57a7/page/Homepage/' rel='nofollow ugc noopener noreferrer'>CalHeatScore mapping tool. <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Data Definitions for the layer: <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· ZIP_CODE = Zip code identifier <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· Date = Date associated with CHS Day 0 <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· CHS Day 0 = The CalHeatScore on the day associated with the Date field <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· CHS Day 1 = The CalHeatScore one day after the day associated with the Date field <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· CHS Day 2 = The CalHeatScore two days after the day associated with the Date field <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· CHS Day 3 = The CalHeatScore three days after the day associated with the Date field <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· CHS Day 4 = The CalHeatScore four days after the day associated with the Date field <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· CHS Day 5 = The CalHeatScore five days after the day associated with the Date field <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· CHS Day 6 = The CalHeatScore six days after the day associated with the Date field <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· Shape_Area = Area of zip code shape <p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>· Shape_Length = Length of zip code shape <div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; clear:none; color:rgb(0, 0, 0); font-family:"Avenir Next World", sans-serif; font-size:medium; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; margin:1rem 0px 2rem; padding:0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'> For more information, see the CalHeatScore mapping tool or contact CalHeatScore@oehha.ca.gov.
california office of environmental health hazard assessment
The DWR Periodic Groundwater Levels dataset contains seasonal and long-term groundwater level measurements collected by the Department of Water Resources and cooperating agencies in groundwater basins statewide. It also includes data collected through the Sustainable Groundwater Management Act (SGMA) Portal’s Monitoring Network Module (MNM), and the CASGEM (California Statewide Groundwater Elevation Monitoring) Program. Most measurements are taken manually twice per year to capture the peak high and low values in groundwater elevations. However, the dataset also includes measurements recorded more frequently, monthly, weekly, or daily. This resource also included daily measurements from DWR's automated monitoring network of groundwater sites. For DWRs holdings of groundwater level measurements recorded at more frequent intervals (e.g., hourly), please refer to DWR's “Continuous Groundwater Level Measurements” dataset. For additional information regarding DWR groundwater levels data collection please visit DWR's Groundwater Management website (https://www.water.ca.gov/Programs/Groundwater-Management). The source data can also be accessed directly from two websites. The Water Data Library (http://wdl.water.ca.gov) provides anonymous access to this and other data sets. The CASGEM online system (https://www.casgem.water.ca.gov/OSS) provides authenticated access to only the the periodic groundwater measurements. This dataset is maintained primarily in the DWR Enterprise Water Management database and contains information specific to the location of groundwater level monitoring wells and groundwater level measurements collected at these wells. The Stations resource identifies well location coordinates and other supplementary items about the well type. Measurements resources includes information about the time/date a measurement was collected, the entity collecting the measurement, a measurement indicating the depth to groundwater, and quality information about the measurement. The Well Perforations resources contains well construction information identifying the well's screened intervals (not available for all wells).
Zip file containing all resources from Periodic Groundwater Level Measurements dataset.
Measurements - Groundwater level time series measurements
Well Perforation data is not available for all wells in this dataset. Well perforations are screened intervals (openings) allowing groundwater to enter well casing. Wells can have multiple screen intervals, up to 10 screened intervals can be recorded for each well in this dataset.
Text file containing a record of schema changes made to any of the resources.
Station - Groundwater well location information
Links to spatial data resources for the groundwater elevation monitoring stations (wells) maintained in the California Department of Water Resources’ (hereafter the Department) Enterprise Water Management database. Individual station information comes from a wide variety of sources, including and local and federal agencies, that conduct groundwater elevation monitoring within the state of California.
Some simple approaches to querying large csv datasets on CNRA Open data
The Groundwater Sustainability Plan (GSP) Annual Report (AR) datasets contain the following data submitted by Groundwater Sustainability Agencies (GSA) and Alternative Agencies as part of their GSP AR or Alternative to GSP AR: groundwater extraction, surface water supply, total water use, and change in storage volumes for a given water year. All data was originally submitted to the Department of Water Resources (DWR) through the Sustainable Groundwater Management Act (SGMA) Portal’s AR Modules (https://sgma.water.ca.gov/portal/gspar/submitted and https://sgma.water.ca.gov/portal/alternative/annualreport/submitted). Data records within each dataset correspond to either an entire basin or one of multiple GSP areas which collectively correspond to an entire basin. The GSP Regulations established the AR data requirements (23 CCR § 356.2) and tasked DWR with developing an online reporting system for GSAs and Alternative Agencies to electronically submit these data (23 CCR § 353.2). The data fields associated with these datasets were created by DWR to ensure GSAs and Alternative Agencies electronically submitted the required AR data to DWR’s online reporting system, the SGMA Portal (https://sgma.water.ca.gov/portal/). For additional information regarding the AR Modules and the AR submittal process, please view the DWR’s AR resources (https://sgma.water.ca.gov/portal/resources).
Groundwater Sustainability Plan Annual Report Data
The tidefiles for the ECO-PTM 0.0.0-beta release. Tidefiles are very large, so they are included here in a separate file. This file is about 7.4 GB.
The tidefiles for the ECO-PTM 0.0.0-beta release. Tidefiles are very large, so they are not included in this file. They are available in a separate download.
ECO-PTM 0.0.0-beta package without tidefiles
The Division of Drinking Water (DDW) identifies Failing and At-Risk community water systems and K-12 non-transient, non-community schools. This information is displayed online in the Safe and Affordable Funding for Equity and Resilience (SAFER) Dashboard. The data utilized for this assessment is derived from multiple sources: self-reported from water systems, data generated by DDW staff, other California state agencies, and U.S. Census. The data sources, calculation methods, Failing and At-Risk criteria, etc. are fully documented in the annual Drinking Water Needs Assessment report which is published annually on the State Water Board’s website.
Drinking Water - SAFER Dashboard Failing and At-Risk Drinking Water Systems
Needs Analysis Unit - Division of Drinking Water
The Drinking Water Needs Assessment, required to be carried out by SAFER Program, is an annual analysis of Public Water Systems, State Small Water Systems, and domestic wells. The Needs Assessment is comprised of four components: the Failing Water System List (Failing list), the Risk Assessment, the Cost Assessment, and the Affordability Assessment. The appendices of the report detail the data sources, calculation methodology, and scoring approach used to generate the data displayed in the SAFER Dashboard.
This file contains the definitions of the data displayed in the SAFER Dashboard.
Drinking Water Risk Assessment Public Flat File
The Enhanced Predatory Fish Removal and Relocation Study (EPFRRS) was implemented from March 2021 through June 2023. The EPFRRS was included in the proposed action for the 2019 state and federal endangered species consultation for the long-term operations of the Central Valley Project and State Water Project. The goal of the EPFRRS was to use the most successful methods from previous predator relocation studies conducted by the Department of Water Resources (DWR) from 2016 to 2020, including the Predator Reduction Electrofishing Study (PRES) and the Predatory Fish Relocation Study (PFRS), to reduce predation mortality on protected fish species in Clifton Court Forebay (CCF), primarily juvenile Chinook Salmon and steelhead. In 2023, predator collection and relocation were conducted from January 3 through June 1. Cancellations occurred during inclement weather conditions that made sampling unsafe (e.g., high winds or rain). There were three gear types used during the 2023 effort: electrofishing, beach seining, and hoop trapping. Electrofishing consisted of two to three electrofishing boats focusing on hotspots identified during the PRES and during the 2021 and 2022 EPFRRS efforts. Hoop traps were deployed for 24-48 hours of passive fishing, when possible, given SWP operations. When hoop traps could not be fished and an additional electrofishing boat was available, the third electrofishing boat was fished instead. Predatory fish removed included black basses, Striped Bass, catfish, and sunfish. However, sunfish were removed opportunistically and were not specifically fished for. Fieldwork was scheduled for four days a week each week. In total, predator relocation was conducted on 48 days during the 2023 field season, which is more than the 2021 field season (26.5 days) which was impacted by the COVID-19 pandemic. However, despite the field season being shorter by nearly a month, the 2022 field season had more days the field (55 days), primarily due to weather conditions.
2023 Enhanced Predatory Fish Removal and Relocation Study
This report summarizes and compares all 3 years of EPFRRS. A total of 57,864 predatory fish, or approximately 22,779 kg (50,115 lbs.) of calculated biomass, were removed during the three years of the EPFRRS. Hoop traps caught the most predatory fish, with nearly half of the total catch, consisting primarily of catfish. The beach seine caught the second most, with the majority being Striped Bass, followed by the electrofishing. Electrofishing was the most successful gear type for black bass across all years. The beach seine caught more sunfish than either e-fishing or hoop traps across the study (892, 620, and 254, respectively). Mortality rates were low, with approximately 0.03% total for the study.
This Well Completion Report dataset represents an index of records from the California Department of Water Resources' (DWR) Online System for Well Completion Reports (OSWCR). This dataset is for informational purposes only. All attribute values should be verified by reviewing the original Well Completion Report. Known issues include: - Missing and duplicate records - Missing values (either missing on original Well Completion Report, or not key entered into database) - Incorrect values (e.g. incorrect Latitude, Longitude, Record Type, Planned Use, Total Completed Depth) - Limited spatial resolution: The majority of well completion reports have been spatially registered to the center of the 1x1 mile Public Land Survey System section that the well is located in.
Redacted Well Completion Reports are organized in folders by County and Township/Range, and named by Township/Range/Section and log number
PDFs of Well Completion Reports by County
This table represents local/relative links to PDFs for records from the California Department of Water Resources' (DWR) Online System for Well Completion Reports (OSWCR) that can be downloaded from https://cadwr.app.box.com/v/WellCompletionReports
Well Completion Report PDF Links (Local)
Geologic Logs - Generalized Lithology and Texture Classification (Under Development)
ArcGIS Service of Well Completion Reports Data
The California Department of Water Resources welcomes feedback to improve the accuracy of the Well Completion Report database. Please email suggested corrections to benjamin.brezing@water.ca.gov using the Submittal_Template_For_Suggested_Corrections.xlsx file.
Submittal template for suggested corrections
This feature service is an aggregation of multiple California County Evacuation Zone services that are being refreshed every 5 minutes. The schema used mirrors the Zonehaven (now Genysys) Schema. This service is fully updated every 5 minutes from county sources. During the update, there may be a brief period (15 seconds) where the service is rebuilding and not all features are visible. Updated Frequency: 5 minutes Contact: gissupport@caloes.ca.gov Symbology Status Color Hex Value Color Name Color Description NORMAL #FFFFFF White No active public safety incidents. EVACUATION WARNING #E5C447 Yellow Potential threat to life and/or property. Those who require additional time to evacuate, and those with pets and livestock should leave now. EVACUATION ORDER #D37072 Red Immediate threat to life. This is a lawful order to leave now. The area is lawfully closed to public access. SHELTER IN PLACE BLUE Inventory of Counties whose Evacuation Order information is publicly shared by Cal OES through the California Active Evacuation Zones feature service.
CA Governor's Office of Emergency Services
The Clifton Court Forebay (CCF) Predator Reduction Electrofishing Study (Study) was implemented in response to the National Marine Fisheries Service (NMFS) letter dated April 9, 2015, requiring that the California Department of Water Resources (DWR) immediately implement interim measure (a) of condition 3 as part of the larger effort to comply with Reasonable and Prudent Alternative (RPA) Action IV.4.2(2) of the Biological Opinion and Conference Opinion on the Long-term Operations of the Central Valley Project and State Water Project (NMFS 2009 BiOp). The study length totaled three years, beginning with a pilot year effort in 2016. The study electroshocked and removed predators from CCF and transported them to Bethany Reservoir with the goal of decreasing pre-screen loss of protected fish species with an emphasis on Chinook Salmon and steelhead .
2016 Clifton Court Forebay Predator Reduction Electrofishing Study
During the 2016 pilot study effort reported here, electrofishing was conducted on 11 days during the months of April and May as a preliminary step in fulfilling regulatory obligations under the 2009 National Marine Fisheries Service Biological Opinion and Conference Opinion on the Long-term Operations of the Central Valley Project and State Water Project. This 2016 pilot effort resulted in the removal of 2,059 striped bass, 594 black bass, and 33 catfish from CCF. Size distribution of predatory fish captures suggest that 98.5 percent of striped bass and 37 percent of black bass are below the minimum legal recreational harvest length limit.
Harbor Seal Predicted Habitat - CWHR M171 [ds2622]
Show sum of units reported on the annual progress report, Tables A and A3 (2013-2017) and Table A2 (since 2018). HCD is transitioning to a new database system; the bi-weekly updates for this dataset will continue in late 1st quarter 2025.
6th Cycle RHNA Progress Report Data Dictionary
5th Cycle RHNA Progress Report Data Dictionary
California Department of General Services
California Department of Industrial Relations
California Department of Housing and Community Development
California State Water Resources Control Board