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Patient Violence Incidence Rates
healthdata.gov | Last Updated 2023-07-26T01:29:22.000ZDepartment of State Hospitals (DSH)-wide Violence Data Annual Rates of Assault from 2010-2020 for the following groups: Patient Assault (A2), Staff Assault (A4). A2 - Patient physical assaults are committed by another patient. Formally defined as “Aggressive Act to Another Patient - Physical: Hitting, pushing, kicking or similar acts directed against another individual to cause potential or actual injury.” This does not include verbal assault, which is coded as “A1.” A4 – Staff physical assaults are committed by a patient. Formally defined as “Aggressive Act to Staff - Physical: Hitting, pushing, kicking, or similar acts directed against a staff person that could cause potential or actual injury.” This does not include verbal assault, which is coded as “A3.” Please Note: 1.Please note that it is an update to the previously published dataset with additional datasets. 2.Violence Rates value (in previous publication) can be calculated as a number per 1000 Patient Days. This number is easily interpreted and enables more accurate comparisons across time. 3.Prior to January 1, 2016 DSH-Atascadero coded an assault as Patient on Staff (A4) only when physical contact was made between patient and staff. All other Department of State Hospitals (DSH)- facilities code an assault as Patient on Staff (A4) either when physical contact was made or when physical contact was attempted. On January 1, 2016 Department of State Hospitals (DSH)--Atascadero began coding assaults in the same manner as all other Department of State Hospitals (DSH)- facilities. 4.Prior to January 1, 2016 Violence incidents were not captured specifically as Physical Contact made or Physical Contact Attempted.
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Voter Registration
healthdata.gov | Last Updated 2024-06-04T04:00:13.000ZThis table contains data on the percent of adults (18 years or older) who are registered voters and the percent of adults who voted in general elections, for California, its regions, counties, cities/towns, and census tracts. Data is from the Statewide Database, University of California Berkeley Law, and the California Secretary of State, Elections Division. The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity.](https://www.cdph.ca.gov/Programs/OHE/Pages/HCI-Search.aspx) Political participation can be associated with the health of a community through two possible mechanisms: through the implementation of social policies or as an indirect measure of social capital. Disparities in political participation across socioeconomic groups can influence political outcomes and the resulting policies could have an impact on the opportunities available to the poor to live a healthy life. Lower representation of poorer voters could result in reductions of social programs aimed toward supporting disadvantaged groups. Although there is no direct evidentiary connection between voter registration or participation and health, there is evidence that populations with higher levels of political participation also have greater social capital. Social capital is defined as resources accessed by individuals or groups through social networks that provide a mutual benefit. Several studies have shown a positive association between social capital and lower mortality rates, and higher self- assessed health ratings. There is also evidence of a cycle where lower levels of political participation are associated with poor self-reported health, and poor self-reported health hinders political participation. More information about the data table and a data dictionary can be found in the About/Attachments section.
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Road Traffic Injuries
healthdata.gov | Last Updated 2023-07-26T12:08:09.000ZThis table contains data on the annual number of fatal and severe road traffic injuries per population and per miles traveled by transport mode, for California, its regions, counties, county divisions, cities/towns, and census tracts. Injury data is from the Statewide Integrated Traffic Records System (SWITRS), California Highway Patrol (CHP), 2002-2010 data from the Transportation Injury Mapping System (TIMS) . The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity]. Transportation accidents are the second leading cause of death in California for people under the age of 45 and account for an average of 4,018 deaths per year (2006-2010). Risks of injury in traffic collisions are greatest for motorcyclists, pedestrians, and bicyclists and lowest for bus and rail passengers. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience 4 times the death rate as Whites or Asians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.
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Annual Miles Traveled
healthdata.gov | Last Updated 2023-07-26T12:25:17.000ZThis table contains data on the annual miles traveled by place of occurrence and by mode of transportation (vehicle, pedestrian, bicycle), for California, its regions, counties, and cities/towns. The ratio uses data from the California Department of Transportation, the U.S. Department of Transportation, and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Miles traveled by individuals and their choice of mode – car, truck, public transit, walking or bicycling – have a major impact on mobility and population health. Miles traveled by automobile offers extraordinary personal mobility and independence, but it is also associated with air pollution, greenhouse gas emissions linked to global warming, road traffic injuries, and sedentary lifestyles. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which has many documented health benefits. More information about the data table and a data dictionary can be found in the About/Attachments section.
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Forensic vs. Civil Commitment Population
healthdata.gov | Last Updated 2024-02-02T04:00:56.000ZThis data set shows the count of patients committed to the California State Hospitals during fiscal years 2006-2022. The Department of State Hospitals (DSH) population consists of patients that are mandated for treatment by a criminal or civil court. Patients in this data set that are sent to DSH through the criminal court system and have committed or have been accused of committing a crime linked to their mental illness are referred to as "forensic" commitments. Patients in this data set committed to DSH from civil courts because they are a danger to themselves or others are referred to as "civil" commitments.
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Transportation to Work
healthdata.gov | Last Updated 2023-07-25T20:47:11.000ZThis table contains data on the percent of residents aged 16 years and older mode of transportation to work for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Census Bureau, Decennial Census and American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Commute trips to work represent 19% of travel miles in the United States. The predominant mode – the automobile - offers extraordinary personal mobility and independence, but it is also associated with health hazards, such as air pollution, motor vehicle crashes, pedestrian injuries and fatalities, and sedentary lifestyles. Automobile commuting has been linked to stress-related health problems. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which is associated with lowering rates of heart disease and stroke, diabetes, colon and breast cancer, dementia and depression. Risk of injury and death in collisions are higher in urban areas with more concentrated vehicle and pedestrian activity. Bus and rail passengers have a lower risk of injury in collisions than motorcyclists, pedestrians, and bicyclists. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience four times the death rate Whites or Asian pedestrians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.
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Percentage of Drivers and Front Seat Passengers Wearing Seat Belts, 2012 & 2014, Region 10 - Seattle
healthdata.gov | Last Updated 2023-07-26T01:21:34.000ZSource for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014. Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories
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Counts and Status of California Work Opportunity and Responsibility to Kids (CalWORKs) Applications
healthdata.gov | Last Updated 2023-07-25T20:44:43.000ZThis report includes data on the number of applications requested or restored and cases added during the month. This dataset is a selected subset of the entire report, available on the California Department of Social Services, Research and Data Reports (RADR) website at http://www.cdss.ca.gov/research/. CalWORKs is a welfare program that gives cash aid and services to eligible needy California families. The program serves all 58 counties in the state and is operated locally by county welfare departments. If a family has little or no cash and needs housing, food, utilities, clothing or medical care, they may be eligible to receive immediate short-term help. Families that apply and qualify for ongoing assistance receive benefits each month to help pay for housing, food and other necessary expenses. Monthly CalWORKs data is collected from the counties through submission of the CA 237CW CalWORKs Cash Grant Movement Report, which is used to report statistical information on CalWORKs caseload movement for Two Parent Families, Zero Parent Families, All Other Families, Temporary Assistance for Needy Families (TANF) Timed-Out Cases and Safety Net/Fleeing Felon/Long-Term Sanction Cases (SN/FF/LTS). NOTE: The presence of "-999" in data cells indicates that the number of applications is too small to be displayed and has been suppressed in order to protect individual clients' confidentiality.
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Low Income Home Energy Assistance Program FY 2008 Household Data
healthdata.gov | Last Updated 2023-07-25T18:42:49.000Z<p>State-reported annual data collected on the presence of elderly, disabled, and young children in eligible households receiving Low Income Home Energy Assistance Program (LIHEAP) heating assistance, cooling assistance, crisis assistance or weatherization assistance.</p>
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COVID-19 Blueprint for a Safer Economy Data Chart (ARCHIVED)
healthdata.gov | Last Updated 2023-07-26T01:31:58.000Z__Note__: Blueprint has been retired as of June 15, 2021. This dataset will be kept up for historical purposes, but will no longer be updated. California has a new blueprint for reducing COVID-19 in the state with revised criteria for loosening and tightening restrictions on activities. Every county in California is assigned to a tier based on its test positivity and adjusted case rate for tier assignment. Additionally, a new health equity metric took effect on October 6, 2020. In order to advance to the next less restrictive tier, each county will need to meet an equity metric or demonstrate targeted investments to eliminate disparities in levels of COVID-19 transmission, depending on its size. The California Health Equity Metric is designed to help guide counties in their continuing efforts to reduce COVID-19 cases in all communities and requires more intensive efforts to prevent and mitigate the spread of COVID-19 among Californians who have been disproportionately impacted by this pandemic. Please see https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/COVID-19/COVID19CountyMonitoringOverview.aspx for more information. Also, in lieu of a Data Dictionary, please refer to the detailed explanation of the data columns in Appendix 1 of the above webpage. Because this data is in machine-readable format, the merged headers at the top of the source spreadsheet have not been included: - The first 8 columns are under the header "County Status as of Tier Assignment" - The next 3 columns are under the header "Current Data Week Tier and Metric Tiers for Data Week" - The next 4 columns are under the header "Case Rate Adjustment Factors" - The next column is under the header "Small County Considerations" - The last 5 columns are under the header "Health Equity Framework Parameters"