Facebook
TwitterThe California Health Care Quality Report Cards show the quality of health care for millions of Californians who get their care through medical groups and commercial insurance plans. Quality health care is getting the right care at the right time.
Note: This data is maintained by CDII and was formerly created by the CA Office of the Patient Advocate. For more information please visit the CDII OPA webpage
Facebook
TwitterThis dataset includes the number of eligible individuals selected and enrolled in a Covered California qualified health plans (QHPs) by rating region and by reporting period. California is comprised of 19 rating regions, and each region has different pricing and health insurance options. Covered California reported data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes eligible individuals who selected and enrolled in a QHP, and paid their first premium. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.
Facebook
TwitterThis dataset contains the total number of Medi-Cal Managed Care enrollees based on the reported month, plan type, county, and health plan.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains data for the Healthcare Payments Data (HPD) Services report. The term "Services" refers to individual procedures reported on the service lines of healthcare claims in California, categorized using the Restructured Berenson-Eggers Type of Services (BETOS) Classification System (RBCS) from the Centers for Medicare & Medicaid Services (CMS). The data in the report includes three main metrics: Total services, the total member count, and the service rate per 1,000 members. Total services represents the total number of services received by members during the reporting year. The member count reports the total number of unique individuals who received at least one service during the reporting year. The service rate per 1,000 members is calculated by dividing the total number of services during the reporting year by the total sum of monthly member enrollments (provided in the data) and multiplying the result by 12,000. The metrics can be grouped by year, age, sex (assigned at birth), county of residence (including an option for Los Angeles Service Planning Areas, or SPAs), Covered California Region, and payer.
Users can choose to view the data at two different levels. The most aggregate level groups the data by the eight main RBCS categories: Anesthesia, Durable Medical Equipment (DME), Evaluation and Management (E&M), Imaging, Procedure, Test, Treatment and Other. The second level breaks the eight aggregate RBCS categories into more specific subcategories. Data files are provided for each choice.
Facebook
TwitterThis dataset contains data for the Healthcare Payments Data (HPD) Healthcare Measures report. The data cover three measurement categories: Health conditions, Utilization, and Demographics. The health condition measurements quantify the prevalence of long-term illnesses and major medical events prominent in California’s communities like diabetes and heart failure. Utilization measures convey rates of healthcare system use through visits to the emergency department and different categories of inpatient stays, such as maternity or surgical stays. The demographic measures describe the health coverage and other characteristics (e.g., age) of the Californians included in the data and represented in the other measures. The data include both a count or sum of each measure and a count of the base population so that data users can calculate the percentages, rates, and averages in the visualization. Measures are grouped by year, age band, sex (assigned sex at birth), payer type, Covered California Region, and county.
Facebook
TwitterThis is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Gross Domestic Product: Ambulatory Health Care Services (621) in California (CAAMBHCNGSP) from 1997 to 2024 about ambulatory, assistance, healthcare, social assistance, health, education, GSP, private industries, CA, services, private, industry, GDP, and USA.
Facebook
TwitterAs of 2020, around 7.5 percent of the total population of California was uninsured, while the largest part of California's population was insured through employers. This statistic illustrates the health insurance status distribution of the total population in California in 2021.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Medi-Cal enrollment data grouped by total enrollment, sex, age group, region, county, language, and race/ethnicity.
Facebook
TwitterThis dataset includes the race of eligible individuals who selected and enrolled in a Covered California Qualified Health Plan (QHP) and identified their race as American Indian and/or Alaska Native, Asian Indian, Black or African American, Chinese, Filipino, Guamanian or Chamorro, Japanese, Korean, Mixed Race, Native Hawaiian, Other, Other Asian, Other Pacific Islander, Samoan, Vietnamese, or White, by reporting period. Covered California reported data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes those who selected and enrolled in a QHP, and paid their first premium. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees: Health Care: Home Health Care Services in California (SMU06000006562160001A) from 1990 to 2024 about health, CA, services, employment, and USA.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees: Health Care: Outpatient Care Centers in California (SMU06000006562140001A) from 1990 to 2024 about medical, health, CA, services, employment, and USA.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This synthetic dataset simulates the end-to-end operations of a California-based hospital for Q1 2025. It includes over 126,000 rows across 9 fully integrated tables that capture patient visits, clinical procedures, diagnoses, lab tests, medication prescriptions, provider details, billing, claims, and denials — designed for data analytics, machine learning, and healthcare research.
📦 Tables Included: patients.csv – Patient demographics, insurance, DOB, gender
encounters.csv – Admission/discharge details, visit types, departments
diagnoses.csv – ICD-10 diagnosis codes linked to encounters
procedures.csv – CPT/ICD-10-PCS procedure codes per patient
medications.csv – Drug names, dosages, prescription data
lab_tests.csv – Test names, result values, normal ranges
claims_and_billing.csv – Financial charges, insurance claims, payments
providers.csv – Doctors, specializations, provider roles
denials.csv – Reasons for claim denial, status, appeal info
This dataset was custom-built to reflect real-world healthcare challenges including:
Messy and missing data (for cleaning exercises)
Insurance claim workflows and denial patterns
Analysis of repeat admissions and chronic disease trends
Medication brand usage, cost patterns, and outcomes
🧠 Ideal For: Healthcare Data Science Projects
Revenue Cycle Management (RCM) analytics
Power BI & Tableau Dashboards
Machine Learning modeling (readmission, denial prediction, etc.)
Python/SQL Data Cleaning Practice
This dataset is completely synthetic and safe for public use. It was generated using custom rules, distributions, and logic reflective of real hospital operations.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees: Education and Health Services: Home Health Care Services in California (SMU06000006562160001SA) from Jan 1990 to Aug 2025 about health, CA, services, employment, and USA.
Facebook
TwitterFinancial overview and grant giving statistics of California Health Care Foundation
Facebook
TwitterThis dataset includes the ethnicity of eligible individuals who selected and enrolled in a Covered California Qualified Health Plan (QHP) and identified their ethnicity as Hispanic with the ethnic origin as Mexican/Mexican American/Chicano, Other, Mixed, Puerto Rican, or Cuban, Hispanic with ethnic origin not reported, not Hispanic, or ethnicity not reported, by reporting period. Covered California reported data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes those who selected and enrolled in a QHP, and paid their first premium. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.
Facebook
TwitterThis dataset contains data for the Healthcare Payments Data (HPD) Snapshot visualization. The Enrollment data file contains counts of claims and encounter data collected for California's statewide HPD Program. It includes counts of enrollment records, service records from medical and pharmacy claims, and the number of individuals represented across these records. Aggregate counts are grouped by payer type (Commercial, Medi-Cal, or Medicare), product type, and year. The Medical data file contains counts of medical procedures from medical claims and encounter data in HPD. Procedures are categorized using claim line procedure codes and grouped by year, type of setting (e.g., outpatient, laboratory, ambulance), and payer type. The Pharmacy data file contains counts of drug prescriptions from pharmacy claims and encounter data in HPD. Prescriptions are categorized by name and drug class using the reported National Drug Code (NDC) and grouped by year, payer type, and whether the drug dispensed is branded or a generic.
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
California offers a uniquely diverse case study for analyzing hospital readmission rates due to its population diversity and socioeconomic disparities. As the most populous state in the United States, with over 39 million residents, it encompasses urban hubs like Los Angeles and San Francisco, rural farming regions in the Central Valley, and varied coastal and mountainous communities. This diversity in population density, income, and healthcare access mirrors the broader challenges of the U.S. healthcare system.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Personal Consumption Expenditures: Services: Health Care for California (CAPCEHLTHCARE) from 1997 to 2024 about healthcare, health, PCE, consumption expenditures, consumption, CA, personal, services, and USA.
Facebook
TwitterCalifornia Birth Report totals by Birth Characteristics to inform the public, stakeholders, and researchers. The DHCS Medi-Cal Birth Statistics tables present the descriptive statistics for California resident births that occurred in a hospital setting, including data on maternal characteristics, delivery methods, and select birth outcomes such as low birthweight and preterm delivery. Tables also include key comorbidities and health behaviors known to influence birth outcomes, such as hypertension, diabetes, substance use, pre-pregnancy weight, and smoking during pregnancy. DHCS additionally presents birth statistics for women participating in the Medi-Cal Fee-For-Service (FFS) and managed care delivery systems, as well as births financed by private insurance, births financed by other public funding sources, and births among uninsured mothers. Medi-Cal data reflect mothers that were deemed as Medi-Cal certified eligible. Note: Data for maternal comorbidities including hypertension, diabetes, and substance use have been provisionally omitted among calendar years 2020-2022 for the time being.
Facebook
TwitterThe California Health Care Quality Report Cards show the quality of health care for millions of Californians who get their care through medical groups and commercial insurance plans. Quality health care is getting the right care at the right time.
Note: This data is maintained by CDII and was formerly created by the CA Office of the Patient Advocate. For more information please visit the CDII OPA webpage