22 datasets found
  1. Suicide rate among working females in the U.S. in 2021, by detailed...

    • statista.com
    Updated Jan 2, 2024
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    Statista (2024). Suicide rate among working females in the U.S. in 2021, by detailed occupation group [Dataset]. https://www.statista.com/statistics/1096882/working-female-suicide-rate-by-detailed-occupation-group-us/
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    Dataset updated
    Jan 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, the highest suicide rate in the U.S. for working females was among artists and related workers with 45.3 deaths per 100,000 population, followed by a rate of around 39 per 100,000 population for female construction laborers. This statistic shows the suicide rate among working female civilians in the U.S. in 2021, by detailed occupation group.

  2. Suicide rate among working males in the U.S. in 2021, by occupation

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Suicide rate among working males in the U.S. in 2021, by occupation [Dataset]. https://www.statista.com/statistics/1096857/working-male-suicide-rate-by-occupation-us/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In the United States, the suicide rate among males working in construction and extraction was **** per 100,000 population. In contrast, the suicide rate among males working in education, training, and library occupations was **** per 100,000 population. This statistic shows the suicide rate among working male civilians in the U.S. in 2021, by occupation.

  3. Suicide rate among working males in the U.S. in 2021, by detailed occupation...

    • statista.com
    Updated Jan 2, 2024
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    Statista (2024). Suicide rate among working males in the U.S. in 2021, by detailed occupation group [Dataset]. https://www.statista.com/statistics/1096876/working-male-suicide-rate-by-detailed-occupation-group-us/
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    Dataset updated
    Jan 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, the highest suicide rate in the U.S. for working males was among musicians, singers, and related workers with around 139 suicide deaths per 100,000 population. This statistic shows the suicide rate among working male civilians in the U.S. in 2021, by detailed occupation group.

  4. Suicide rate among working females in the U.S. in 2021, by occupation

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Suicide rate among working females in the U.S. in 2021, by occupation [Dataset]. https://www.statista.com/statistics/1096870/working-female-suicide-rate-by-occupation-us/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, construction and extraction was the occupation with the highest suicide rate among U.S. females with **** suicide deaths per 100,000 population. At that time, the protective services occupation had a female suicide rate of **** per 100,000 population. This statistic shows the suicide rate among working female civilians in the U.S. in 2021, by occupation.

  5. Number of suicides South Korea 2022, by occupation

    • statista.com
    Updated May 15, 2024
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    Statista (2024). Number of suicides South Korea 2022, by occupation [Dataset]. https://www.statista.com/statistics/1267151/south-korea-suicide-deaths-by-occupation/
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    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    South Korea
    Description

    In 2022, more than ***** students, homemakers, and unemployed people committed suicide in South Korea, representing the highest share of all occupational groups at about ** percent. Suicide remains the leading cause of death among young people.

  6. Number of suicides Japan 2015-2024, by employment status

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Number of suicides Japan 2015-2024, by employment status [Dataset]. https://www.statista.com/statistics/623071/japan-suicide-number-by-occupation/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    With approximately *******cases, unemployed people in Japan showed the highest number of committed suicides in 2024. That same year, over ******employed people in the country committed suicide.

  7. m

    Suicide data & reports

    • mass.gov
    Updated Dec 8, 2021
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    Department of Public Health (2021). Suicide data & reports [Dataset]. https://www.mass.gov/info-details/suicide-data-reports
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    Dataset updated
    Dec 8, 2021
    Dataset provided by
    Department of Public Health
    Division of Violence and Injury Prevention
    Bureau of Community Health and Prevention
    Area covered
    Massachusetts
    Description

    Download data on suicides in Massachusetts by demographics and year. This page also includes reporting on military & veteran suicide, and suicides during COVID-19.

  8. f

    Adjusted odds of suicide acceptability/endorsement by farming versus...

    • figshare.com
    xls
    Updated Dec 4, 2024
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    Jeanne M. Ward; John R. Blosnich (2024). Adjusted odds of suicide acceptability/endorsement by farming versus non-farming occupations, General Social Survey 2000–2022. [Dataset]. http://doi.org/10.1371/journal.pmen.0000073.t002
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    xlsAvailable download formats
    Dataset updated
    Dec 4, 2024
    Dataset provided by
    PLOS Mental Health
    Authors
    Jeanne M. Ward; John R. Blosnich
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Adjusted odds of suicide acceptability/endorsement by farming versus non-farming occupations, General Social Survey 2000–2022.

  9. f

    Prevalence and unadjusted differences in socio-demographics and suicide...

    • figshare.com
    xls
    Updated Dec 4, 2024
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    Jeanne M. Ward; John R. Blosnich (2024). Prevalence and unadjusted differences in socio-demographics and suicide acceptability/endorsement by farming/ranching versus the general population, General Social Survey 2000–2022. [Dataset]. http://doi.org/10.1371/journal.pmen.0000073.t001
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    xlsAvailable download formats
    Dataset updated
    Dec 4, 2024
    Dataset provided by
    PLOS Mental Health
    Authors
    Jeanne M. Ward; John R. Blosnich
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Prevalence and unadjusted differences in socio-demographics and suicide acceptability/endorsement by farming/ranching versus the general population, General Social Survey 2000–2022.

  10. Number of suicides India 2022, by profession

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Number of suicides India 2022, by profession [Dataset]. https://www.statista.com/statistics/1099598/india-number-of-suicides-by-profession/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    India
    Description

    In 2022, over ** thousand daily wage earners committed suicide in India. Followed by over ** thousand home makers who committed suicide. Family problem was the leading cause of suicides in the country that year.

  11. Data from: Incidence and fatality of serious suicide attempts in a...

    • zenodo.org
    • data.niaid.nih.gov
    • +3more
    Updated May 29, 2022
    + more versions
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    Jiandong Sun; Xiaolei Guo; Jiyu Zhang; Mei Wang; Cunxian Jia; Aiqiang Xu; Jiandong Sun; Xiaolei Guo; Jiyu Zhang; Mei Wang; Cunxian Jia; Aiqiang Xu (2022). Data from: Incidence and fatality of serious suicide attempts in a predominantly rural population in Shandong, China: a public health surveillance study [Dataset]. http://doi.org/10.5061/dryad.r0v35
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    Dataset updated
    May 29, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Jiandong Sun; Xiaolei Guo; Jiyu Zhang; Mei Wang; Cunxian Jia; Aiqiang Xu; Jiandong Sun; Xiaolei Guo; Jiyu Zhang; Mei Wang; Cunxian Jia; Aiqiang Xu
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    China, Shandong
    Description

    Objectives: To estimate the incidence of serious suicide attempts (SSAs, defined as suicide attempts resulting in either death or hospitalisation) and to examine factors associated with fatality among these attempters. Design: A surveillance study of incidence and mortality. Linked data from two public health surveillance systems were analysed. Setting: Three selected counties in Shandong, China. Participants: All residents in the three selected counties. Outcome: measures Incidence rate (per 100 000 person-years) and case fatality rate (%). Methods: Records of suicide deaths and hospitalisations that occurred among residents in selected counties during 2009–2011 (5 623 323 person-years) were extracted from electronic databases of the Disease Surveillance Points (DSP) system and the Injury Surveillance System (ISS) and were linked by name, sex, residence and time of suicide attempt. A multiple logistic regression model was developed to examine the factors associated with a higher or lower fatality rate. Results: The incidence of SSAs was estimated to be 46 (95% CI 44 to 48) per 100 000 person-years, which was 1.5 times higher in rural versus urban areas, slightly higher among females, and increased with age. Among all SSAs, 51% were hospitalised and survived, 9% were hospitalised but later died and 40% died with no hospitalisation. Most suicide deaths (81%) were not hospitalised and most hospitalised SSAs (85%) survived. The fatality rate was 49% overall, but was significantly higher among attempters living in rural areas, who were male, older, with lower education or with a farming occupation. With regard to the method of suicide, fatality was lowest for non-pesticide poisons (7%) and highest for hanging (97%). Conclusions: The incidence of serious suicide attempts is substantially higher in rural areas than in urban areas of China. The risk of death is influenced by the attempter's sex, age, education level, occupation, method used and season of year.

  12. f

    Data_Sheet_1_Linking suicide and social determinants of health in South...

    • frontiersin.figshare.com
    pdf
    Updated Jun 1, 2023
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    Yongjun Zhu; Seojin Nam; Lihong Quan; Jihyun Baek; Hongjin Jeon; Buzhou Tang (2023). Data_Sheet_1_Linking suicide and social determinants of health in South Korea: An investigation of structural determinants.PDF [Dataset]. http://doi.org/10.3389/fpubh.2022.1022790.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Yongjun Zhu; Seojin Nam; Lihong Quan; Jihyun Baek; Hongjin Jeon; Buzhou Tang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Korea
    Description

    IntroductionStudies have shown that suicide is closely related to various social factors. However, due to the restriction in the data scale, our understanding of these social factors is still limited. We propose a conceptual framework for understanding social determinants of suicide at the national level and investigate the relationships between structural determinants (i.e., gender, employment statuses, and occupation) and suicide outcomes (i.e., types of suicide, places of suicide, suicide methods, and warning signs) in South Korea.MethodsWe linked a national-level suicide registry from the Korea Psychological Autopsy Center with the Social Determinants of Health framework proposed by the World Health Organization's Commission on Social Determinants of Health.ResultsFirst, male and female suicide victims have clear differences in their typical suicide methods (fire vs. drug overdose), primary warning signs (verbal vs. mood), and places of death (suburb vs. home). Second, employees accounted for the largest proportion of murder-suicides (>30%). The proportion of students was much higher for joint suicides than for individual suicides and murder-suicides. Third, among individuals choosing pesticides as their suicide method, over 50% were primary workers. In terms of drug overdoses, professionals and laborers accounted for the largest percentage; the former also constituted the largest proportion in the method of jumping from heights.ConclusionA clear connection exists between the investigated structural factors and various suicide outcomes, with gender, social class, and occupation all impacting suicide.

  13. Suicide rate among working males in the U.S. in 2021, by industry

    • statista.com
    Updated Jan 2, 2024
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    Statista (2024). Suicide rate among working males in the U.S. in 2021, by industry [Dataset]. https://www.statista.com/statistics/1096828/working-male-suicide-rate-by-industry-us/
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    Dataset updated
    Jan 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, the mining industry had the highest suicide rate among males in the United States with 72 such deaths per 100,000 population. The second highest rate was in the construction industry with 56 deaths per 100,000 working males aged 16 to 64 years. This statistic shows the suicide rate among working male civilians in the U.S. in 2021, by industry.

  14. Number of work related suicides Japan 2015-2024

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Number of work related suicides Japan 2015-2024 [Dataset]. https://www.statista.com/statistics/622325/japan-work-related-suicides/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2024, around ***** people in Japan committed suicide due to problems related to their working situation in Japan. “Karojisatsu," or suicide brought on by excessive work or stress at work, is a well-known phenomenon in Japan.

  15. f

    S1 Table -

    • plos.figshare.com
    xlsx
    Updated Sep 24, 2024
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    Kathrin Angelika Schwerdtfeger; Heide Glaesmer; Mahtab Bahramsoltani (2024). S1 Table - [Dataset]. http://doi.org/10.1371/journal.pone.0310819.s001
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    xlsxAvailable download formats
    Dataset updated
    Sep 24, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Kathrin Angelika Schwerdtfeger; Heide Glaesmer; Mahtab Bahramsoltani
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Higher rates of depression, suicidal ideation and suicide risk have been reported for veterinarians in Germany. In this study, several demographic and job-related factors were examined to determine whether they could be considered possible predictors of depression, suicidal ideation, and suicide risk. For this purpose, a survey was conducted among veterinarians in Germany. The demographic factors surveyed were gender, age, working status (employed/self-employed), income, field of work (practicing/non-practicing veterinarian), weekly working hours and community size. For assessing job-related factors, the Effort-Reward-Imbalance questionnaire (effort, reward, overcommitment), several subscales of the Copenhagen Psychosocial Questionnaire (quantitative demands, emotional demands, demands for hiding emotions, meaning of work, work-privacy-conflict, thoughts of leaving the job) and the Copenhagen Burnout Inventory were used. A hierarchical logistic regression analysis was performed with the demographic and job-related factors as independent variables and depressive symptoms, suicidal ideation, and suicide risk as dependent variables, respectively. A total of 3.118 veterinarians (78.8% female) between 22 and 69 years (mean age 41.3 years) were included in the study. The factors used resulted in the highest variance explanation for depressive symptoms (57%), followed by suicidal ideation (34%) and suicide risk (23%). Low reward and high overcommitment were found to be the most important predictors of depressive symptoms, suicidal ideation, and suicide risk. Significant relationships with depressive symptoms, suicidal ideation, and suicide risk were also found for burnout, demands for hiding emotions, and thoughts of leaving the job. The results of this study point to opportunities for changes in the veterinary working environment, for the development of prevention and intervention programs for veterinarians, and for the further development of the veterinary curriculum to strengthen the mental health of veterinarians in Germany.

  16. f

    Data_Sheet_1_Relationships between diversity demographics, psychological...

    • frontiersin.figshare.com
    bin
    Updated Aug 16, 2023
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    Kristel Scoresby; Carrie Jurney; Amanda Fackler; Christina V. Tran; William Nugent; Elizabeth Strand (2023). Data_Sheet_1_Relationships between diversity demographics, psychological distress, and suicidal thinking in the veterinary profession: a nationwide cross-sectional study during COVID-19.docx [Dataset]. http://doi.org/10.3389/fvets.2023.1130826.s001
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    binAvailable download formats
    Dataset updated
    Aug 16, 2023
    Dataset provided by
    Frontiers
    Authors
    Kristel Scoresby; Carrie Jurney; Amanda Fackler; Christina V. Tran; William Nugent; Elizabeth Strand
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    PurposeThis study aimed to determine the relationship between demographic diversity and veterinary professionals regarding their psychological distress and suicidal experiences. This study also aimed to determine what demographic factors were associated with psychological distress and suicidal experiences for veterinary professionals.MethodsThis study used a cross-sectional web-based questionnaire to assess the prevalence of diversity, psychological distress, and suicidality in individuals over 18 working in the veterinary field within the United States. The study received 2,482 responses resulting in 2,208 responses that were included in the analysis. Descriptive statistics were performed to identify the categories with the highest rates of psychological distress, suicidal thoughts, and suicidal behaviors. Binomial logistic regressions were conducted to identify the strongest statistical predictors of psychological distress (Kessler-6-K6), suicidal thinking and suicide behaviors.ResultsOf the 2,208 respondents included in the analysis, 888 (41%) were experiencing serious psychological distress and 381 (17.3%) had considered suicide in the past 12 months. Results of the binomial regressions indicate gender, social class, age, and disability status were the strongest predictors of psychological distress. When controlling for psychological distress, the strongest predictors of suicidal thinking were sexual orientation, marital status, and professional role.ImplicationsLimited research has been done to explore the relationship between demographic diversity of veterinary professionals and psychological distress, suicidal thoughts, and suicidal behaviors specifically. These results shed light on multiple demographic factors that promote and attenuate mental health, as well as the importance of asking respondents their demographic identities in veterinary medicine research. This research attempts to identify these mental health factors without collapsing categories with small sample sizes, which does cause a limitation in statistical power, yet also demonstrates how to increase inclusivity in research.

  17. f

    Factors associated with past-year suicide behavior.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Mohammed A. Mamun; Firoj Al-Mamun; Johurul Islam; Mohammad Muhit (2023). Factors associated with past-year suicide behavior. [Dataset]. http://doi.org/10.1371/journal.pone.0279271.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mohammed A. Mamun; Firoj Al-Mamun; Johurul Islam; Mohammad Muhit
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Factors associated with past-year suicide behavior.

  18. Number of suicides South Korea 2019, by occupation

    • statista.com
    Updated Oct 21, 2021
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    Statista (2021). Number of suicides South Korea 2019, by occupation [Dataset]. https://www.statista.com/statistics/1267151/number-of-suicides-south-korea-2019-by-occupation/
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    Dataset updated
    Oct 21, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    South Korea
    Description

    In 2019, around 8.3 thousand students, homemakers, and unemployed people committed suicide in South Korea, representing the highest share of all occupational groups at about 60 percent. While South Korea has the highest suicide rate among the member countries of the Organization for Economic Cooperation and Development (OECD), suicide remains the leading cause of death among young people.

  19. f

    Social and Geographical Inequalities in Suicide in Japan from 1975 through...

    • plos.figshare.com
    pdf
    Updated Jun 3, 2023
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    Etsuji Suzuki; Saori Kashima; Ichiro Kawachi; S. V. Subramanian (2023). Social and Geographical Inequalities in Suicide in Japan from 1975 through 2005: A Census-Based Longitudinal Analysis [Dataset]. http://doi.org/10.1371/journal.pone.0063443
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    pdfAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Etsuji Suzuki; Saori Kashima; Ichiro Kawachi; S. V. Subramanian
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    BackgroundDespite advances in our understanding of the countercyclical association between economic contraction and suicide, less is known about the levels of and changes in inequalities in suicide. The authors examined social and geographical inequalities in suicide in Japan from 1975 through 2005.MethodsBased on quinquennial vital statistics and census data, the authors analyzed the entire population aged 25–64 years. The total number of suicides was 75,840 men and 30,487 women. For each sex, the authors estimated odds ratios (ORs) and 95% credible intervals (CIs) for suicide using multilevel logistic regression models with “cells” (cross-tabulated by age and occupation) at level 1, seven different years at level 2, and 47 prefectures at level 3. Prefecture-level variance was used as an estimate of geographical inequalities in suicide.ResultsAdjusting for age and time-trends, the lowest odds for suicide was observed among production process and related workers (the reference group) in both sexes. The highest OR for men was 2.52 (95% CI: 2.43, 2.61) among service workers, whereas the highest OR for women was 9.24 (95% CI: 7.03, 12.13) among security workers. The degree of occupational inequalities increased among men with a striking change in the pattern. Among women, we observed a steady decline in suicide risk across all occupations, except for administrative and managerial workers and transport and communication workers. After adjusting for individual age, occupation, and time-trends, prefecture-specific ORs ranged from 0.76 (Nara Prefecture) to 1.36 (Akita Prefecture) for men and from 0.79 (Kanagawa Prefecture) to 1.22 (Akita Prefecture) for women. Geographical inequalities have increased primarily among men since 1995.ConclusionsThe present findings demonstrate a striking temporal change in the pattern of social inequalities in suicide among men. Further, geographical inequalities in suicide have considerably increased across 47 prefectures, primarily among men, since 1995.

  20. f

    Association between the study variables and past-month suicide ideation and...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Mohammed A. Mamun; Firoj Al-Mamun; Johurul Islam; Mohammad Muhit (2023). Association between the study variables and past-month suicide ideation and its associated factors. [Dataset]. http://doi.org/10.1371/journal.pone.0279271.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mohammed A. Mamun; Firoj Al-Mamun; Johurul Islam; Mohammad Muhit
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Association between the study variables and past-month suicide ideation and its associated factors.

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Statista (2024). Suicide rate among working females in the U.S. in 2021, by detailed occupation group [Dataset]. https://www.statista.com/statistics/1096882/working-female-suicide-rate-by-detailed-occupation-group-us/
Organization logo

Suicide rate among working females in the U.S. in 2021, by detailed occupation group

Explore at:
Dataset updated
Jan 2, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2021
Area covered
United States
Description

In 2021, the highest suicide rate in the U.S. for working females was among artists and related workers with 45.3 deaths per 100,000 population, followed by a rate of around 39 per 100,000 population for female construction laborers. This statistic shows the suicide rate among working female civilians in the U.S. in 2021, by detailed occupation group.

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