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

As of February 2025, El Salvador had the highest prisoner rate worldwide, with over 1,600 prisoners per 100,000 of the national population. Cuba, Rwanda, Turkmenistan, and the United States, rounded out the top five countries with the highest rate of incarceration. Homicides in El Salvador Interestingly, El Salvador, which long had the highest global homicide rates, has dropped out of the top 20 after a high number of gang members have been incarcerated. A high number of the countries with the highest homicide rate are located in Latin America. Prisoners in the United StatesThe United States is home to the largest number of prisoners worldwide. More than 1.8 million people were incarcerated in the U.S. at the beginning of 2025. In China, the estimated prison population totaled 1.69 million people that year. Other nations had far fewer prisoners. The largest share of the U.S. prisoners in federal correctional facilities were of African-American origin. As of 2020, there were 345,500 black, non-Hispanic prisoners, compared to 327,300 white, non-Hispanic inmates. The U.S. states with the largest number of prisoners in 2022 were Texas, California, and Florida. Over 160,000 prisoners in state facilities were sentenced for rape or sexual assault, which was the most common cause of imprisonment. The second most common was murder, followed by aggravated or simple assault.

This survey was was conducted as part of the Rand Corporation's research program on career criminals. Rand's Second Inmate Survey was administered in late 1978 and early 1979 to convicted male inmates at 12 prisons and 14 county jails in California, Michigan, and Texas. The purpose of the survey was to provide detailed information about the criminal behavior of offenders and their associated characteristics. Emphasis was also placed on investigating other major areas of interest such as the quality of prisoner self-reports, varieties of criminal behavior, selective incapacitation, and prison treatment programs.

The Interpersonal Violence and Institutional Misconduct in Jails Study is a longitudinal evaluation of administrative data collected from the Los Angeles County Jail System. This study includes aggregate monthly information on the number and rate of incidents of interpersonal violence and serious institutional misconduct in the Los Angeles County Jail System over an eight-year time period (January 2010 to December 2017). This investigation also includes information on the development and validation of two separate risk assessment tools--the Inmate Risk Assessment for Perpetration (IRAP) and the Inmate Risk Assessment for Victimization (IRAV)--that were designed to help authorities proactively identify the perpetrators and victims of interpersonal violence in jail, respectively. The subjects used to construct and test these instruments were an admission cohort of all adjudicated inmates entering the Los Angeles County jail system in 2016 (N = 104,919). This population of inmates was randomly assigned into one of four groups. The first was the construction sample (n = 26,404), which was used to create the two risk assessment scales, and the other three served as cross-validation samples, which each served to evaluate the predictive accuracy and reliability of these instruments. These data include individual-level information on inmate demographics, criminal history, and other measures of institutional behavior.

This data collection represents a process and outcome evaluation of the Office Technology Training program at the Rio Consumnes Correctional Center (RCCC) in Sacramento County. RCCC is a county jail for prisoners sentenced up to one year in custody. The Office Technology Training program, one of several training programs for inmates at RCCC, was designed to familiarize students with the use of computers in an office or business setting and to provide specific instruction in several types of common office software, including word processing and desktop publishing. The purpose of the evaluation research was (1) to refine the process of determining what types of training should be funded and (2) to establish research-based evaluation protocols for local jail inmate training programs. Data were collected on participants in the Office Technology Training class, on a control group that matched the participants in terms of demographic characteristics, and on a smaller group of nonparticipants who had signed up for the training program but did not participate. Part 1, Treatment and Control Group Data, contains administrative and survey data on both the trainees and the control group, while Part 2, Nonparticipant Data, includes administrative and survey data on the inmates who registered for the training but did not participate in the program. The survey consisted of an evaluation form filled out by inmates who participated in the training at RCCC, indicating their prior experience with computers and software, evaluating the training they received, and assessing whether the new skills would be helpful in securing employment upon their release. Administrative records on all respondents (trainees, control, and nonparticipants) were collected from four sources: a supplemental form on inmates' employment, a probation report that provided personal and criminal histories, a risk assessment form, and a follow-up form completed by the probation officer within one week of the six-month anniversary of the inmate's release from RCCC. Variables from the supplemental form included employment type and wages. The probation report covered employment, education, military history, marital status, substance abuse, domestic violence, gang behavior, psychiatric history, child abuse history, and criminal histories as juveniles and adults. Data on attitude, alcohol and drug problems, number of felony convictions, probation periods and violations, types of offenses, and history of institutionalization were taken from the risk assessment form. The follow-up form gathered information on release, disciplinary actions at RCCC, opinions about the Office Technology Training program, substance abuse, new arrests and convictions, gang behavior, job training, employment type, hourly wage, job satisfaction, and use of computers on the job. Additional administrative records data on trainees and nonparticipants were gathered from the class registration form, including gender, education, birth date, ethnicity, language spoken, occupation, Test of Adult Basic Education (TABE) scores, and class assignments. Other data on trainees came from an evaluation form filled out by the students' instructor upon their completion of the Office Technology class. It provided information on the behavior, attitude, and skills of the students.

This dataset contains data included in the San Diego County Regional Equity Indicators Report led by the Office of Equity and Racial Justice (OERJ). The full report can be found here: https://data.sandiegocounty.gov/stories/s/7its-kgpt.

Geographic data used to create maps in the report can be found here: https://data.sandiegocounty.gov/dataset/Equity-Report-Data-Geography/p6uw-qxpv

Filter by the Indicator column to select data for a particular indicator.

User notes: 10/9/25 - for the report year 2025, data for the following indicators were uploaded with changes relative to report year 2023: Crime Rate: As of January 1, 2021, the FBI replaced the Summary Reporting System (SRS) with the National Incident Based Reporting System (NIBRS), which expands how crimes were recorded and classified. This report uses California’s version of NIBRS, the California Incident Based Reporting System (CIBRS), obtained from the SANDAG Open Data Portal. Crime rates are not disaggregated by jurisdiction, as in the previous Equity Indicator Report. Internet access: The age group variable was incorporated to account for notable disparities in internet access by age. Police Stops and Searches: refined methods. Agency data was aggregated to San Diego County because data was available for all agencies; previously data was available for three agencies. Analysis of RIPA data was updated to exclude stops where the stop was made in response to a call for service, combine transgender women and transgender men into a transgender category, and limit to contraband found during search. Used term “discovery rate” instead of “hit rate.” Removed comparison to traffic collision data and instead compared to population estimates from the American Community Survey. Jail Incarceration: new data sources. The numerator data for the average daily population data in jail was obtained from the San Diego County Sheriff's Office. Population data to calculate the rates was obtained from the San Diego Association of Governments (SANDAG). The terms for conviction status were corrected to "locally sentenced" and "unsentenced" for sentencing status. For jail population data, East African was reclassified as Black and Middle Eastern as White to allow for calculation of rates using SANDAG population estimates.

8/1/25 - for the report year 2025, the following change were made: Business Ownership: the minority and nonminority labels were switched for the population estimates and some of the race/ethnicity data for nonemployer businesses were corrected. Homelessness: added asterisks to category name for unincorporated regions to allow for a footnote in the figure in the story page.

7/11/25 - for the report year 2025, the following changes were made: Beach Water Quality: the number of days with advisories was corrected for Imperial Beach municipal beach, San Diego Bay, and Ocean Beach.

5/22/25 - for the report year 2023, the following changes were made: Youth poverty/Poverty: IPUMS identified an error in the POVERTY variable for multi-year ACS samples. In July 2024, they released a revised version of all multi-year ACS samples to IPUMS USA, which included corrected POVERTY values. The corrected POVERTY values were downloaded, and the analysis was rerun for this indicator using the 2021 ACS 5-year Estimates. Youth Poverty: data source label corrected to be 2021 for all years. Employment, Homeownership, and Cost-Burdened Households - Notes were made consistent for rows where category = Race/Ethnicity.

5/9/25 - Excluding data for the crime section indicators, data were appended on May 9, 2025 and the report will be updated to reflect the new data in August 2025. The following changes in methods were made: For indicators based on American Community Survey (ACS) data, the foreign-born category name was changed to Nativity Status. Internet access: Group quarters is a category included in the survey sample, but it is not part of the universe for the analysis. For the 2025 Equity Report year, respondents in group quarters were excluded from the analysis, whereas for the 2023 Equity Report year, these respondents were included. Adverse childhood experiences - new data source.

Prepared by: Office of Evaluation, Performance, and Analytics and the Office of Equity and Racial Justice, County of San Diego, in collaboration with the San Diego Regional Policy & Innovation Center (https://www.sdrpic.org).

Jail incarceration rates are measured by the number of incarcerated individuals in jail per 100,000 population aged 18-69. This Indicator is measured for Alameda County, and the most recently available data is from 2015.

This pilot study was conducted in an attempt to better understand the jailed population in terms of the number of families at risk and the relationship between parental substance use and incarceration and its impact on the children of the incarcerated. The aim of the study was to describe the jailed population, their needs in relation to substance abuse and parenting issues, to explore children's risk factors resulting from having a parent with substance abuse and/or criminal justice involvement, and ultimately to offer a point of intervention for parents and children at risk. Participants included 229 men and 52 women aged 18 and older, who were in their first 48 hours of incarceration in the Santa Clara County Department of Corrections in August 2003 and who where voluntary participants in the National Institute of Justice's (NIJ) Arrestee Drug Abuse Monitoring (ADAM) Program (ARRESTEE DRUG ABUSE MONITORING (ADAM) PROGRAM IN THE UNITED STATES, 2003 [ICPSR 4020]). Male subjects were chosen through a random selection process, while female participants were taken from a convenience sample. The pilot study used a questionnaire completed as an addendum to the ADAM program main interview. Major types of variables included in this study are type and duration of alcohol/drug use, family history of incarceration, number and ages of children for whom the respondent was the primary caregiver, social consequences for the child due to the incarceration of the respondent, and if the child had any problems with drugs and/or alcohol.

Original census file name: tl_2020_