This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/: Deaths by suicide per 100,000 population. Data have been aggregated from statistical datasets compiled from California death records.

Note: This Dataset is updated nightly and contains all downloadable Medical Examiner-Coroner records, January 1, 2018 to current, related to deaths that occurred in the County of Santa Clara under the Medical Examiner-Coroner’s jurisdiction and those deaths reportable to the Medical Examiner-Coroner (non-jurisdictional cases/NJA) but in which the office did not assume jurisdiction.

The Santa Clara County Medical Examiner- Coroner’s Office determines cause and manner of death for those deaths that fall under the jurisdiction of the Medical Examiner-Coroner, as defined by California Government code 27491.

The Medical Examiner-Coroner will not be responsible for data verification, interpretation or misinformation once data has been downloaded and manipulated from the dashboard.

Refer to the following document to know more of which deaths are reportable: https://medicalexaminer.sccgov.org/sites/g/files/exjcpb986/files/Reportable%20Death%20Chart%202018.pdf.

Canada CA: Suicide Mortality Rate: Female data was reported at 7.000 NA in 2016. This stayed constant from the previous number of 7.000 NA for 2015. Canada CA: Suicide Mortality Rate: Female data is updated yearly, averaging 7.000 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 7.100 NA in 2010 and a record low of 6.500 NA in 2000. Canada CA: Suicide Mortality Rate: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Canada CA: Suicide Mortality Rate: per 100,000 Population data was reported at 9.440 Ratio in 2021. This records a decrease from the previous number of 11.640 Ratio for 2020. Canada CA: Suicide Mortality Rate: per 100,000 Population data is updated yearly, averaging 12.505 Ratio from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 13.430 Ratio in 2015 and a record low of 9.440 Ratio in 2021. Canada CA: Suicide Mortality Rate: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.4.2[https://unstats.un.org/sdgs/metadata/].

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.

Number and rate of potential years of life lost for unintentional injuries and suicides, by sex.

Considered suicide in the past 12 months (high school only) by sex, race/ethnicity, and grade, California Healthy Kids Survey, 2015-16METADATA:Notes (String): Lists table title, sourceYear (String): Year of surveyCategory (String): Lists the category representing the data: Santa Clara County is for total surveyed population, sex: Male and Female, race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only) and grade level (9th, 11th, or non-traditional).Percent (Numeric): Percentage of high school students who considered suicide in the past 12 months

For current version see: https://data.sandiegocounty.gov/Health/2021-Behavioral-Health-Outcomes/id6m-2zrn

Basic Metadata Note: Self-Inflicted Injuries resulting in death are considered suicides.

*Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.

**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.

Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.

Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

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.

This table contains 126720 series, with data for years 2000 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Age group (12 items: Total; 15 years and over;20 to 34 years;20 to 24 years;15 to 19 years ...), Sex (3 items: Both sexes; Females; Males ...), Suicidal thoughts and attempts (5 items: Total; suicidal thoughts and attempts; Suicide; considered in past 12 months; Suicide; attempted in past 12 months; Suicide; never contemplated ...), Characteristics (8 items: Number of persons; Low 95% confidence interval; number of persons; Coefficient of variation for number of persons; High 95% confidence interval; number of persons ...).

The notes field contains the full MEDLINE (Ovid) search strategy for observational studies on youth suicide mortality. The search file in this dataset contains the full MEDLINE (Ovid), EMBASE (Ovid), PsycInfo (Ovid) and CINAHL (EBSCO) strategies from March 7, 2025. The remaining files are the database downloads for each search; access to these files are restricted due to licensing agreements.

This data shows the number of deaths due to suicide in Napa County from 2004 to 2023.

Numbers and rates of suicide fatalities in NS by year, month, sex, and health zone of residence.

Earmarked mental health tax effect on suicide mortality in California by sex and race, 2005–2019.

This data blog presents statistics on suicide mortality, suicidal ideation, and self-inflicted injury hospitalizations in Canada. The economic burden of suicide and self-harm is highlighted, as are age and sex differences.

Average Annual Numbers and Rates of Suicide Fatalities in NS by age group and sex, time periods: 2010-2012, 2013-2015, 2016-2018, 2019-2021.

This study will examine suicide outcomes in respondents to extreme risk protection orders in 5 states—California, Connecticut, Florida, Maryland, and Washington—and will use a comparison with a counterfactual estimate of expected suicide deaths to calculate the number of suicides prevented by the intervention, and the number of extreme risk protection orders needed to prevent one suicide.

Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table_name indicator_name Universe source timeframe source_url

depression_ever_est_lachs_2018 Ever Diagnosed with Depression Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_ever_perc_lachs_2018 Ever Diagnosed with Depression Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_current_est_lachs_2018 Currently being treated for depression or currently having symptoms of depression Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_current_perc_lachs_2018 Currently being treated for depression or currently having symptoms of depression Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_risk_est_lachs_2018 At Risk for Major Depression Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_risk_perc_lachs_2018 At Risk for Major Depression Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_rx_est_lachs_2018 With Current Depression - Taking Medication Prescribed by a Doctor or Psychiatrist for the Disorder Percent (%) Adults (Ages 18 Years and Older) with Current Depression LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_rx_perc_lachs_2018 With Current Depression - Taking Medication Prescribed by a Doctor or Psychiatrist for the Disorder Estimate (#) Adults (Ages 18 Years and Older) with Current Depression LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_counseling_est_lachs_2018 With Current Depression - Receiving Counseling from a Mental Health Professional for the Disorder Percent (%) Adults (Ages 18 Years and Older) with Current Depression LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_counseling_perc_lachs_2018 With Current Depression - Receiving Counseling from a Mental Health Professional for the Disorder Estimate (#) Adults (Ages 18 Years and Older) with Current Depression LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

suicidal_thoughts_est_chis_2021 Ever seriously thought about committing suicide Estimate (#) Adults (Ages 18 Years and Older) California Health Interview Survey 2021 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

suicidal_thoughts_perc_chis_2021 Ever seriously thought about committing suicide Percent (%) Adults (Ages 18 Years and Older) California Health Interview Survey 2021 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

suicidal_thoughts_est_chis_2019 Ever seriously thought about committing suicide Percent (%) Adults California Health Interview Survey 2019 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

suicidal_thoughts_perc_chis_2019 Ever seriously thought about committing suicide Estimate (#) Adults California Health Interview Survey 2019 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

psych_distress_perc_chis_2019 Likely has had serious psychological distress during past year Percent (%) Teens and Adults California Health Interview Survey 2019 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

psych_distress_est_chis_2019 Likely has had serious psychological distress during past year Estimate (#) Teens and Adults California Health Interview Survey 2019 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

needed_help_perc_chis_2021 Needed help for emotional/mental health problems or use of alcohol/drug Percent (%) Adults California Health Interview Survey 2021 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

needed_help_est_chis_2021 Needed help for emotional/mental health problems or use of alcohol/drug Estimate (#) Adults California Health Interview Survey 2021 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

needed_help_perc_chis_2019 Needed help for emotional/mental health problems or use of alcohol/drug Percent (%) Adults California Health Interview Survey 2019 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

needed_help_est_chis_2019 Needed help for emotional/mental health problems or use of alcohol/drug Estimate (#) Adults California Health Interview Survey 2019 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

received_treatment_perc_chis_2021 Needed Help - Received treatment for self-reported mental/emotional and/or alcohol-drug issue(s) Percent (%) Adults that needed help California Health Interview Survey 2021 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

received_treatment_est_chis_2021 Needed Help - Received treatment for self-reported mental/emotional and/or alcohol-drug issue(s) Estimate (#) Adults that needed help California Health Interview Survey 2021 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

received_treatment_perc_chis_2019 Needed Help - Received treatment for self-reported mental/emotional and/or alcohol-drug issue(s) Percent (%) Adults that needed help California Health Interview Survey 2019 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

received_treatment_est_chis_2019 Needed Help - Received treatment for self-reported mental/emotional and/or alcohol-drug issue(s) Estimate (#) Adults that needed help California Health Interview Survey 2019 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

no_treatment_perc_chis_2021 Needed Help - Did not receive treatment for self-reported mental/emotional and/or alcohol-drug issue(s) Percent (%) Adults that needed help California Health Interview Survey 2021 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

no_treatment_est_chis_2021 Needed Help - Did not receive treatment for self-reported mental/emotional and/or alcohol-drug issue(s) Estimate (#) Adults that needed help California Health Interview Survey 2021 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

no_treatment_perc_chis_2019 Needed Help - Did not receive treatment for self-reported mental/emotional and/or alcohol-drug issue(s) Percent (%) Adults that needed help California Health Interview Survey 2019 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

no_treatment_est_chis_2019 Needed Help - Did not receive treatment for self-reported mental/emotional and/or alcohol-drug issue(s) Estimate (#) Adults that needed help California Health Interview Survey 2019 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

psych_distress_perc_chis_2021 Likely has had serious psychological distress during past year Percent (%) Teens and Adults California Health Interview Survey 2021 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

psych_distress_est_chis_2021 Likely has had serious psychological distress during past year Estimate (#) Teens and Adults California Health Interview Survey 2021 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

binge_drinking_month Percent of Adults (Ages 18 Years and Older) who Reported Binge Drinking in the past Month. Adults Los Angeles County Health Survey 2018 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

poor_mh_days_month Average Number of Poor Mental Health Days in the past Month Reported by Adults (Ages 18 Years and Older). Adults Los Angeles County Health Survey 2018 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

cant_afford_mh_care Percent of Adults (Ages 18 Years and Older) Unable to Receive Mental Health Care or Counseling When Needed in the past Year Because They Could Not Afford It. Adults Los Angeles County Health Survey 2011 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

lac_dmh_clients Clients of Los Angeles County Mental Health programs Current clients LAC DMH 2024 https://dmh.lacounty.gov/dashboards/dashboard-currentclientdemographics/

opioid_deaths_per100k Opioid Deaths per 100,000 residents (crude rate, any opioid) Countywide population CDPH 2022 https://skylab.cdph.ca.gov/ODdash/?tab=CTY

opioid_ed_per100k Opioid Emergency Department (ED) Visits per 100,000 residents (crude rate, any opioid) Countywide population CDPH 2022 https://skylab.cdph.ca.gov/ODdash/?tab=CTY

加拿大 CA: Suicide Mortality Rate: Female在2016达7.000 NA，相较于2015的7.000 NA保持不变。加拿大 CA: Suicide Mortality Rate: Female数据按每年更新，2000至2016期间平均值为7.000 NA，共5份观测结果。该数据的历史最高值出现于2010，达7.100 NA，而历史最低值则出现于2000，为6.500 NA。CEIC提供的加拿大 CA: Suicide Mortality Rate: Female数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的加拿大 – Table CA.World Bank.WDI: Health Statistics。

The checklist contributed to the creation of a safe environment while caring for potentially suicidal patients in the nonpsychiatric inpatient unit and guided. Overall, safety incidences decreased by 42% (5) in 2018 when compared with that in the year 2014. The number of patients who sustained temporary or minor injuries also decreased from 2014 to 2018, by 57%. When used in the nonpsychiatric inpatient units, the SSIPCL provides clinicians with a structured approach to creating a safe environment. It helped ensure that the environment was monitored effectively and served as a communication tool to identify risk points in a consistent approach during handoffs to other clinical staff.