- What is the Adult Obesity Rate?
- What is the Adult Smoking Rate?
- What is the Excessive Drinking Rate?
- What is the Physical Inactivity Rate?
- What is the Percent of Traffic Deaths Involving Alcohol Impairment?
- What is the Sexually Transmitted Infections Rate?
- What is the Population Count?
- What is the Population Density?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
The access to exercise opportunities rate of Riverside County, CA was 90.90% in 2015.
The Robert Wood Johnson Foundation produces health rankings for states and counties. They explore many aspects of health including quality of life, health behaviors, access to clinical care, socioeconomic factors, and environmental factors.
Health and Health Behaviors Datasets Involving Riverside County, CA
- API data.livewellsd.org | Last Updated 2017-09-11T20:00:55.000Z
This dataset presents smoking attributable deaths for San Diego County by condition and overall categories for those 35 years of age and older. 2014-2015. For data by HHSA Region or archived years, please visit www.sdhealthstatistics.com Methods: Fractions by the Centers for Disease Control, Smoking‐Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) System. http://www.ncbi.nlm.nih.gov/books/NBK294316/table/ch12.t4/?report=objectonly Note: Deaths with unknown age or sex were not included in the analysis. Deaths were pulled using 2016 ICD 10 codes. Source: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System (2015). Prepared by County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 05/23/17. Note: COPD = chronic obstructive pulmonary disease. a - Other cancers consist of cancers of the lip, pharynx and oral cavity, esophagus, stomach, pancreas, larynx, cervix uteri (women), kidney and renal pelvis, bladder, liver, colon and rectum, and acute myeloid leukemia. b - Other heart disease comprised of rheumatic heart disease, pulmonary heart disease, and other forms of heart disease. c - Cerebrovascular diseases ICD-10 Codes: I60-I69 d - Other vascular diseases are comprised of atherosclerosis, aortic aneurysm, and other arterial diseases. e - Pulmonary diseases consists of pneumonia, influenza, emphysema, bronchitis, and chronic airways obstruction. f - Prenatal conditions (All Ages) comprised of ICD-10 codes: K55.0, P00.0, P01.0, P01.1, P01.5, P02.0, P02.1, P02.7, P07.0–P07.3, P10.2, P22.0–P22.9, P25.0–P27.9, P28.0, P28.1, P36.0–P36.9, P52.0–P52.3, and P77 (Dietz et al. 2010). g - Sudden Infant Death Syndrome ((All Ages) ICD-10 code R95
- API data.communityvitalsigns.org | Last Updated 2016-03-03T03:29:06.000Z
All cause average age-adjusted death rate for three year periods ending 2004-2013 (CA DPH County Health Status Profiles 2006-2015) and percentage of the population living below poverty level (U.S. Census Bureau, American Community Survey 1-Year Estimates, Table S1701).
- API data.marincounty.org | Last Updated 2017-02-01T18:51:12.000Z
Adult obesity, life expectancy and food insecurity in Marin County, CA, by 2010 Census Tract, for years 2005 – 2009 for obesity and food insecurity, and for years 2005 – 2010 for life expectancy.
- API chhs.data.ca.gov | Last Updated 2017-01-17T07:59:52.000Z
This dataset includes a comprehensive list of all 58 county phone numbers for each respective county eligibility offices, mental health plans, alcohol and drug programs, and Medi-Cal managed care health plans. These county offices offer assistance to consumers looking to enroll in Medi-Cal or obtain specific services.
- API chhs.data.ca.gov | Last Updated 2017-06-15T22:42:35.000Z
This is an alphabetical list by county of all non-medical alcoholism and drug abuse recovery or treatment facilities licensed and/or certified by the Department of Health Care Services (DHCS). Within DHCS, the Substance Use Disorder Compliance (SUDC) Division Licensing and Certification Branch (LCB) is responsible for assuring that quality services are provided to all program participants in a safe and healthful environment through the licensure, certification, regulation, and oversight of a statewide system of alcohol and other drug recovery and treatment facilities and programs and counselors.
- API data.livewellsd.org | Last Updated 2015-09-03T21:29:11.000Z
Chronic Alcohol‐related Disorder Hospitalizations: *Rates per 100,000 population. County age‐adjusted rates per 100,000 2000 US standard population. **Harbison Crest/El Cajon is an aggregation of the Harbison Crest and El Cajon SRAs. Due to geographic limitations, the Harbison Crest SRA is not shown alone. See the Data Guide for more information. †Chronic alcohol‐related disorder hospitalization refers to (principal diagnosis) ICD‐9 code 303. §Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown. Source: Patient Discharge Database (CA OSHPD), County of San Diego, Health & Human Services Agency, Public Health Services, Epidemiology & Immunization Services Branch; SANDAG, Current Population Estimates, 10/2013. Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2015.
- API chhs.data.ca.gov | Last Updated 2017-02-08T20:13:48.000Z
This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. Data originally from the California Department of Education Fitnessgram website at http://www.cde.ca.gov/ta/tg/pf/.
- API chhs.data.ca.gov | Last Updated 2016-12-28T22:38:08.000Z
The dataset contains 5 utilization rates (Cesarean Delivery Rate, Cesarean Delivery Rate - Primary, Vaginal Birth After Cesarean Rate, Vaginal Birth After Cesarean Rate Uncomplicated, Laparoscopic Cholecystectomy) for procedures performed in California hospitals. They are not related to the Let's Get Healthy California indicators. This dataset does not include procedures performed in outpatient settings. Data are reported for January – September 2015 due to coding changes from ICD-9-CM to ICD-10-CM/PCS for procedures, which began 10/1/2015. Comparisons across years should be made with caution since previous years’ results are based on 12 months of data, while this analysis is based on 9 months of data. The 2015 data may differ from previous years due to the coding change.
- API data.smcgov.org | Last Updated 2015-07-17T19:56:18.000Z
Collected from San Mateo County fifth graders, body composition standards take into account the natural development of boys (gain muscle) and girls (gain fat). The standards for percent body fat have been equated with Body Mass Index (BMI) values. The HFZ standards for boys and girls help identify students at risk for metabolic syndrome. Metabolic syndrome is an indicator of current and future health risk and includes the following factors: high fasting glucose, large waist circumference, high triglycerides, low high density lipoprotein cholesterol, high blood pressure. For each school year, some schools in the County do not report test results resulting in a variety of schools reporting per year.
- API data.livewellsd.org | Last Updated 2015-10-27T22:59:27.000Z
Acute Alcohol‐related Disorder† Hospitalizations: *Rates per 100,000 population. County age‐adjusted rates per 100,000 2000 US standard population. **Harbison Crest/El Cajon is an aggregation of the Harbison Crest and El Cajon SRAs. Due to geographic limitations, the Harbison Crest SRA is not shown alone. See the Data Guide for more information. †Acute alcohol‐related disorder hospitalization refers to (principal diagnosis) ICD‐9 codes 291, 305.0, 980.0. §Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown. Source: Patient Discharge Database (CA OSHPD), County of San Diego, Health & Human Services Agency, Public Health Services, Epidemiology & Immunization Services Branch; SANDAG, Current Population Estimates, 10/2013. Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2015.