This dataset contains counts of deaths for California as a whole 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 California regardless of the place of residence (by occurrence) and deaths to California residents (by residence), whereas the provisional data table only includes deaths that occurred in California 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 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.

Graph and download economic data for Premature Death Rate for San Francisco County, CA (CDC20N2U006075) from 1999 to 2020 about San Francisco County/City, CA; premature; death; San Francisco; CA; rate; and USA.

The dataset contains risk-adjusted mortality rates, quality ratings, and number of deaths and cases for 6 medical conditions treated (Acute Stroke, Acute Myocardial Infarction, Heart Failure, Gastrointestinal Hemorrhage, Hip Fracture and Pneumonia) and 3 procedures performed (Carotid Endarterectomy, Pancreatic Resection, and Percutaneous Coronary Intervention) in California hospitals. The 2023 IMIs were generated using AHRQ Version 2024, while previous years' IMIs were generated with older versions of AHRQ software (2022 IMIs by Version 2023, 2021 IMIs by Version 2022, 2020 IMIs by Version 2021, 2019 IMIs by Version 2020, 2016-2018 IMIs by Version 2019, 2014 and 2015 IMIs by Version 5.0, and 2012 and 2013 IMIs by Version 4.5). The differences in the statistical method employed and inclusion and exclusion criteria using different versions can lead to different results. Users should not compare trends of mortality rates over time. However, many hospitals showed consistent performance over years; “better” performing hospitals may perform better and “worse” performing hospitals may perform worse consistently across years. This dataset does not include conditions treated or procedures performed in outpatient settings. Please refer to statewide table for California overall rates: https://data.chhs.ca.gov/dataset/california-hospital-inpatient-mortality-rates-and-quality-ratings/resource/af88090e-b6f5-4f65-a7ea-d613e6569d96

Graph and download economic data for Premature Death Rate for Los Angeles County, CA (CDC20N2U006037) from 1999 to 2020 about Los Angeles County, CA; premature; death; Los Angeles; CA; rate; and USA.

In 2024, the state of California reported ***** motor-vehicle deaths, an increase from the year before. Death from motor-vehicles remains a relevant problem across the United States. Motor-vehicle deaths in the United States In the United States, a person’s lifetime odds of dying in a motor vehicle accident is around * in **. Death rates from motor vehicles have decreased in recent years and are significantly lower than the rates recorded in the ***** and *****. This is due to a mass improvement in car safety standards and features. For example, all states, with the exception of New Hampshire, have laws against not wearing safety belts. Drinking and driving One of the biggest causes of motor-vehicle deaths is driving while under the influence of alcohol. The state with the highest number of fatalities due to alcohol-impaired driving in 2022 was Texas, followed by California and Florida. Light trucks are the vehicle type most often involved in fatal crashes caused by alcohol-impaired drivers, with around ***** such accidents in the United States in 2022.

Graph and download economic data for Premature Death Rate for Mendocino County, CA (CDC20N2U006045) from 1999 to 2020 about Mendocino County, CA; premature; death; CA; rate; and USA.

View daily updates and historical trends for California Coronavirus Death Rate (DISCONTINUED). Source: Center for Disease Control and Prevention. Track ec…

Graph and download economic data for Premature Death Rate for Imperial County, CA (CDC20N2U006025) from 1999 to 2020 about Imperial County, CA; El Centro; premature; death; CA; rate; and USA.

Mexico Establishment Death Rate: Baja California: SMEs data was reported at 19.402 % in 2021. This records an increase from the previous number of 16.105 % for 2020. Mexico Establishment Death Rate: Baja California: SMEs data is updated yearly, averaging 16.105 % from Dec 2020 (Median) to 2021, with 2 observations. The data reached an all-time high of 19.402 % in 2021 and a record low of 16.105 % in 2020. Mexico Establishment Death Rate: Baja California: SMEs data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.O: Establishment Death Rate: by State.

The dataset contains risk-adjusted mortality rates, and number of deaths and cases for 6 medical conditions treated (Acute Stroke, Acute Myocardial Infarction, Heart Failure, Gastrointestinal Hemorrhage, Hip Fracture and Pneumonia) and 6 procedures performed (Abdominal Aortic Aneurysm Repair, Carotid Endarterectomy, Craniotomy, Esophageal Resection, Pancreatic Resection, Percutaneous Coronary Intervention) in California hospitals. The 2014 and 2015 IMIs were generated using AHRQ Version 5.0, while the 2012 and 2013 IMIs were generated using AHRQ Version 4.5. The differences in the statistical method employed and inclusion and exclusion criteria using different versions can lead to different results. Users should not compare trends of mortality rates over time. However, many hospitals showed consistent performance over years; “better” performing hospitals may perform better and “worse” performing hospitals may perform worse consistently across years. This dataset does not include conditions treated or procedures performed in outpatient settings. Please refer to hospital table for hospital rates: https://data.chhs.ca.gov/dataset/california-hospital-inpatient-mortality-rates-and-quality-ratings

Graph and download economic data for Premature Death Rate for Humboldt County, CA (CDC20N2U006023) from 1999 to 2020 about Humboldt County, CA; premature; death; CA; rate; and USA.

This table contains data on the rate of violent crime (crimes per 1,000 population) for California, its regions, counties, cities and towns. Crime and population data are from the Federal Bureau of Investigations, Uniform Crime Reports. Rates above the city/town level include data from city, university and college, county, state, tribal, and federal law enforcement agencies. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Ten percent of all deaths in young California adults aged 15-44 years are related to assault and homicide. In 2010, California law enforcement agencies reported 1,809 murders, 8,331 rapes, and over 95,000 aggravated assaults. African Americans in California are 11 times more likely to die of assault and homicide than Whites. More information about the data table and a data dictionary can be found in the About/Attachments section.

Establishment Death Rate: Baja California: Manufacturing data was reported at 28.259 % in 2021. This records an increase from the previous number of 17.361 % for 2020. Establishment Death Rate: Baja California: Manufacturing data is updated yearly, averaging 17.361 % from Dec 2020 (Median) to 2021, with 2 observations. The data reached an all-time high of 28.259 % in 2021 and a record low of 17.361 % in 2020. Establishment Death Rate: Baja California: Manufacturing data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.O: Establishment Death Rate: by State.

As of March 10, 2023, the death rate from COVID-19 in the state of New York was 397 per 100,000 people. New York is one of the states with the highest number of COVID-19 cases.

Graph and download economic data for Premature Death Rate for Santa Clara County, CA (CDC20N2U006085) from 1999 to 2020 about Santa Clara County, CA; San Jose; premature; death; CA; rate; and USA.

The rate of male excess mortality in Baja California stood at approximately ****** percent in 2023. Between 1994 and 2023, the rate rose by around **** percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

Mexico Establishment Death Rate: Baja California: Micro data was reported at 32.433 % in 2021. This records an increase from the previous number of 21.941 % for 2020. Mexico Establishment Death Rate: Baja California: Micro data is updated yearly, averaging 27.187 % from Dec 2020 (Median) to 2021, with 2 observations. The data reached an all-time high of 32.433 % in 2021 and a record low of 21.941 % in 2020. Mexico Establishment Death Rate: Baja California: Micro data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.O013: Establishment Death Rate: by State.

Mexico Establishment Death Rate: Baja California: Non-Financial Private Services data was reported at 36.395 % in 2021. This records an increase from the previous number of 23.488 % for 2020. Mexico Establishment Death Rate: Baja California: Non-Financial Private Services data is updated yearly, averaging 29.941 % from Dec 2020 (Median) to 2021, with 2 observations. The data reached an all-time high of 36.395 % in 2021 and a record low of 23.488 % in 2020. Mexico Establishment Death Rate: Baja California: Non-Financial Private Services data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.O013: Establishment Death Rate: by State.

Graph and download economic data for Age-Adjusted Premature Death Rate for Orange County, CA (CDC20N2UAA006059) from 1999 to 2020 about Orange County, CA; premature; death; Los Angeles; CA; rate; and USA.