2011 State Profile — California

This state profile includes data from facilities in California that reported to N-SSATS for the survey reference date March 31, 2010. Data were collected on the location, characteristics, services offered, and number of clients in treatment at alcohol and drug abuse treatment facilities (both public and private) in California. In California, 1,626 substance abuse treatment facilities were included in the 2010 N-SSATS, reporting that there were 123,611 clients in substance abuse treatment on March 31, 2010. The survey response rate in California was 89.5%.

County Health Status Profiles is an annually published report for the State of California by the California Department of Public Health in collaboration with the California Conference of Local Health Officers. Health indicators are measured for 58 counties and California statewide that can be directly compared to national standards and populations of similar composition. Where available, the measurements are ranked and compared with target rates established for Healthy People National Objectives.

For tables where the health indicator denominator and numerator are derived from the same data source, the denominator excludes records for which the health indicator data is missing and unable to be imputed.

For more information see the County Health Status Profiles report.

After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker.

The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.

It is a weekly snapshot in time that:

• Focuses on recent outcomes in the last seven days and changes relative to the month prior
• Provides additional contextual information at the county level for each state, and includes national level information
• Supports rapid visual interpretation of results with color thresholds

This data is the Jail Profile Survey from California. These data include highly detailed information about the inmates in jails in the state at the jail-month level and the county-month and county-quarter level of analysis. The data was scraped from the California Board of State and Community Corrections' website here https://app.bscc.ca.gov/joq//jps/queryselection.asp There are three data sets available: facility/jail-level data monthly, county-level data monthly, and county-level data quarterly. Each of these data sets offers different variables. All the data sets have the variables indicating the years, month (or quarter), and jurisdiction (in most cases the county sheriff). I added variables with the FIPS county and state codes and county names from the US census. The PDF available for download is the instruction manual from the California Board of State and Community Corrections to employees who submit the jail survey data. This manual indicates how variables are created and can help with understanding the data. I recommend reading it before using this data. I did not make any changes to the except for the following: Changed column names to make it more informative and shorten names to fit the 32 character limit for Stata. Some cells had the values D and U to represent Does Not Apply and Unavailable. In both of these cases I changed those cells to NA. I did this to allow the column to be numeric for analysis. Variables in Facility/Jail-Level Data Monthly Name of facility/jail Population capacity for the facility (if any) Average daily population for unsentenced males Average daily population for unsentenced females Average daily population for sentenced males Average daily population for sentenced females Average daily population total Variables in County-Level Data Monthly Average daily population for unsentenced males Average daily population for unsentenced females Average daily population for sentenced males Average daily population for sentenced females Average daily population total Average number of felony inmates unsentenced Average number of felony inmates sentenced Average number of felony inmates total Average number of misdemeanor inmates unsentenced Average number of misdemeanor inmates sentenced Average number of misdemeanor inmates total Day of month where county had most number of inmates The number of inmates on that day Average daily population of maximum security inmates Average daily population of medium security inmates Average daily population of minimum security inmates Number of mental health cases opened last day of month Number of new mental health cases open during month Inmates receiving psych medication on last day of month Inmates assigned to mental health beds on last day of month Inmates seen at sick call during month Doctor occurrences during month Off-site medical appointments during month Dental encounters during month Inmates assigned to medical beds on last day of month Average number of inmates not assigned to housing Average number of inmates in contract beds in other jurisdictions Average number of federal inmates in facilities (by contract) Average number of state inmates in facilities (by contract) Average number of other county inmates in facilities (by contract) Average number of inmates sent or awaiting contract to prison Average number of inmates in hospitals outside jail Total number of inmates booked during month Total number of pretrial released due to lack of housing Total number of sentenced inmates released due to lack of housing Total number of juveniles in custody Variables in County-Level Data Quarterly Number of inmates classified as "3rd Strike" Number of inmates classified as "2nd Strike" Number of unserved felony warrants in county Number of unserved misdemeanor warrants in county Percent of inmates believed to be illegal aliens Number of inmates assaults on staff Money spent on medication in previous quarter Money spent on psych medication during previous quarter Average length of stay (in days) for all released inmates Average length of stay (in days) for pretrial releases Average length of stay (in days) for sentenced inmate releases

This dataset tracks annual distribution of students across grade levels in Kaplan Academy Of Southern California

This dataset is a compilation of facility attributes from different sources of HCAI data (license, financial, and building safety data). The primary use of this dataset is to give an overview of common attributes for each facility that HCAI manages data and information from.

Population is the sum of births plus in-migration, and it signifies the total market size possible in the area. This is an important metric for economic developers to measure their economic health and investment attraction. Businesses also use this as a metric for market size when evaluating startup, expansion or relocation decisions.

This dataset tracks annual total students amount from 2019 to 2023 for Insight School Of California

The 2014 Town and Community Profiles bring together information on more than 1000 Victorian communities from a wide variety of sources, both internal and external to the Department of Health and Department of Human Services. The Profiles include information on population, geography, services and facilities, and social, cultural and demographic characteristics of each suburb, town and rural catchment in Victoria.

This dataset tracks annual distribution of students across grade levels in Youthbuild Charter School Of California

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 dataset tracks the updates made on the dataset "COVID-19 State Profile Report - California" as a repository for previous versions of the data and metadata.

This dataset tracks the updates made on the dataset "2010 State Profile — California" as a repository for previous versions of the data and metadata.

The dataset provides basic information of the FFS providers enrolled in the Medi-Cal program as of December 1, 2025. 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.

This dataset tracks annual white student percentage from 2019 to 2023 for Insight School Of California vs. California and Insight School Of California School District

This data file includes demographics of clients served by the Family Planning, Access, Care, and Treatment (Family PACT) Program from July 1, 2003, through the current FY of available data. Parity is defined as the number of live births reported at the time of enrollment or recertification for the Family PACT Program. Clients are recertified annually and are considered served only if they had a paid claim. Age, race/ethnicity, language, and parity variables were self-reported by clients at time of enrollment and recertification. Reimbursement amounts are rounded to the nearest million.

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.

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 dataset contains counts of live births to California residents by ZIP Code based on information entered on birth certificates. Final counts are derived from static data and include out-of-state births to California residents. The data tables include births to residents of California by ZIP Code of residence (by residence).

Note that ZIP Codes are intended for mail delivery routing and do not represent geographic regions. ZIP Codes are subject to change over time and may not represent the same locations between different time periods. All ZIP Codes in the list of California ZIP Codes used for validation are included for all years, but this does not mean that the ZIP Code was in use at that time.