13 datasets found
  1. M

    India Suicide Rate

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). India Suicide Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/ind/india/suicide-rate
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 2000 - Dec 31, 2021
    Area covered
    India
    Description

    Historical chart and dataset showing India suicide rate by year from 2000 to 2021.

  2. Suicides in England and Wales

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 29, 2024
    + more versions
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    Office for National Statistics (2024). Suicides in England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/suicidesintheunitedkingdomreferencetables
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    xlsxAvailable download formats
    Dataset updated
    Aug 29, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Number of suicides and suicide rates, by sex and age, in England and Wales. Information on conclusion type is provided, along with the proportion of suicides by method and the median registration delay.

  3. What Are Reasons for the Large Gender Differences in the Lethality of...

    • plos.figshare.com
    doc
    Updated May 30, 2023
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    Roland Mergl; Nicole Koburger; Katherina Heinrichs; András Székely; Mónika Ditta Tóth; James Coyne; Sónia Quintão; Ella Arensman; Claire Coffey; Margaret Maxwell; Airi Värnik; Chantal van Audenhove; David McDaid; Marco Sarchiapone; Armin Schmidtke; Axel Genz; Ricardo Gusmão; Ulrich Hegerl (2023). What Are Reasons for the Large Gender Differences in the Lethality of Suicidal Acts? An Epidemiological Analysis in Four European Countries [Dataset]. http://doi.org/10.1371/journal.pone.0129062
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    docAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Roland Mergl; Nicole Koburger; Katherina Heinrichs; András Székely; Mónika Ditta Tóth; James Coyne; Sónia Quintão; Ella Arensman; Claire Coffey; Margaret Maxwell; Airi Värnik; Chantal van Audenhove; David McDaid; Marco Sarchiapone; Armin Schmidtke; Axel Genz; Ricardo Gusmão; Ulrich Hegerl
    License

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

    Area covered
    Europe
    Description

    BackgroundIn Europe, men have lower rates of attempted suicide compared to women and at the same time a higher rate of completed suicides, indicating major gender differences in lethality of suicidal behaviour. The aim of this study was to analyse the extent to which these gender differences in lethality can be explained by factors such as choice of more lethal methods or lethality differences within the same suicide method or age. In addition, we explored gender differences in the intentionality of suicide attempts.Methods and FindingsMethods. Design: Epidemiological study using a combination of self-report and official data. Setting: Mental health care services in four European countries: Germany, Hungary, Ireland, and Portugal. Data basis: Completed suicides derived from official statistics for each country (767 acts, 74.4% male) and assessed suicide attempts excluding habitual intentional self-harm (8,175 acts, 43.2% male).Main Outcome Measures and Data Analysis. We collected data on suicidal acts in eight regions of four European countries participating in the EU-funded “OSPI-Europe”-project (www.ospi-europe.com). We calculated method-specific lethality using the number of completed suicides per method * 100 / (number of completed suicides per method + number of attempted suicides per method). We tested gender differences in the distribution of suicidal acts for significance by using the χ2-test for two-by-two tables. We assessed the effect sizes with phi coefficients (φ). We identified predictors of lethality with a binary logistic regression analysis. Poisson regression analysis examined the contribution of choice of methods and method-specific lethality to gender differences in the lethality of suicidal acts.Findings Main ResultsSuicidal acts (fatal and non-fatal) were 3.4 times more lethal in men than in women (lethality 13.91% (regarding 4106 suicidal acts) versus 4.05% (regarding 4836 suicidal acts)), the difference being significant for the methods hanging, jumping, moving objects, sharp objects and poisoning by substances other than drugs. Median age at time of suicidal behaviour (35–44 years) did not differ between males and females. The overall gender difference in lethality of suicidal behaviour was explained by males choosing more lethal suicide methods (odds ratio (OR) = 2.03; 95% CI = 1.65 to 2.50; p < 0.000001) and additionally, but to a lesser degree, by a higher lethality of suicidal acts for males even within the same method (OR = 1.64; 95% CI = 1.32 to 2.02; p = 0.000005). Results of a regression analysis revealed neither age nor country differences were significant predictors for gender differences in the lethality of suicidal acts. The proportion of serious suicide attempts among all non-fatal suicidal acts with known intentionality (NFSAi) was significantly higher in men (57.1%; 1,207 of 2,115 NFSAi) than in women (48.6%; 1,508 of 3,100 NFSAi) (χ2 = 35.74; p < 0.000001).Main limitations of the studyDue to restrictive data security regulations to ensure anonymity in Ireland, specific ages could not be provided because of the relatively low absolute numbers of suicide in the Irish intervention and control region. Therefore, analyses of the interaction between gender and age could only be conducted for three of the four countries. Attempted suicides were assessed for patients presenting to emergency departments or treated in hospitals. An unknown rate of attempted suicides remained undetected. This may have caused an overestimation of the lethality of certain methods. Moreover, the detection of attempted suicides and the registration of completed suicides might have differed across the four countries. Some suicides might be hidden and misclassified as undetermined deaths.ConclusionsMen more often used highly lethal methods in suicidal behaviour, but there was also a higher method-specific lethality which together explained the large gender differences in the lethality of suicidal acts. Gender differences in the lethality of suicidal acts were fairly consistent across all four European countries examined. Males and females did not differ in age at time of suicidal behaviour. Suicide attempts by males were rated as being more serious independent of the method used, with the exceptions of attempted hanging, suggesting gender differences in intentionality associated with suicidal behaviour. These findings contribute to understanding of the spectrum of reasons for gender differences in the lethality of suicidal behaviour and should inform the development of gender specific strategies for suicide prevention.

  4. 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
    Bureau of Community Health and Prevention
    Division of Violence and Injury 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.

  5. N

    Numbers and Rates of Suicide Fatalities in NS by Year, Sex, and Zone of...

    • data.novascotia.ca
    • open.canada.ca
    • +1more
    application/rdfxml +5
    Updated Jul 7, 2025
    + more versions
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    (2025). Numbers and Rates of Suicide Fatalities in NS by Year, Sex, and Zone of Residence [Dataset]. https://data.novascotia.ca/Population-and-Demographics/Numbers-and-Rates-of-Suicide-Fatalities-in-NS-by-Y/n3dv-9n4b
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    csv, application/rdfxml, tsv, application/rssxml, json, xmlAvailable download formats
    Dataset updated
    Jul 7, 2025
    License

    http://novascotia.ca/opendata/licence.asphttp://novascotia.ca/opendata/licence.asp

    Area covered
    Nova Scotia
    Description

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

  6. f

    Spatial Clustering Properties in the Temporal Variation of Suicide...

    • plos.figshare.com
    ai
    Updated May 31, 2023
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    Makoto Tomita; Takafumi Kubota; Fumio Ishioka (2023). Spatial Clustering Properties in the Temporal Variation of Suicide Rates/Numbers among Japanese Citizens: A Comprehensive Comparison and Discussion [Dataset]. http://doi.org/10.1371/journal.pone.0127358
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    aiAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Makoto Tomita; Takafumi Kubota; Fumio Ishioka
    License

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

    Area covered
    Japan
    Description

    ObjectiveThe number of suicides in Japan has remained high for many years. To effectively resolve this problem, firm understanding of the statistical data is required. Using a large quantity of wide-ranging data on Japanese citizens, the purpose of this study was to analyze the geographical clustering properties of suicides and how suicide rates have evolved over time, and to observe detailed patterns and trends in a variety of geographic regions.MethodsUsing adjacency data from 2008, the spatial and temporal/spatial clustering structure of geographic statistics on suicides were clarified. Echelon scans were performed to identify regions with the highest-likelihood ratio of suicide as the most likely suicide clusters.ResultsIn contrast to results obtained using temporal/spatial analysis, the results of a period-by-period breakdown of evolving suicide rates demonstrated that suicides among men increased particularly rapidly during 1988–1992, 1993–1997, and 1998–2002 in certain cluster regions located near major metropolitan areas. For women, results identified cluster regions near major metropolitan areas in 1993–1997, 1998–2002, and 2003–2007.ConclusionsFor both men and women, the cluster regions identified are located primarily near major metropolitan areas, such as greater Tokyo and Osaka.

  7. f

    Data from: Suicide in Portugal: image of the country

    • scielo.figshare.com
    jpeg
    Updated Jun 1, 2023
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    Alexandre Morais Nunes (2023). Suicide in Portugal: image of the country [Dataset]. http://doi.org/10.6084/m9.figshare.6151655.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Alexandre Morais Nunes
    License

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

    Area covered
    Portugal
    Description

    ABSTRACT Objective To identify patterns of suicide trends registered in Portugal, taking into account a set of socio-economic and demographic variables between the years 2007 and 2014 in order to obtain an overview of this scourge in Portugal. Methods Using data from the National Institute of Statistics (INE) and the Death Certificate Information System (SICO), suicide was analyzed according to the category of ICD10 (International Classification of Diseases), the incidence by gender, age group and region. Results The most affected to suicide are men (54,8%), over 75 years old (30.9%) and occurs in the more rural areas of the interior of the country that are more deprived of materials. The highest suicide mortality is found in the Alentejo region (12,8%). Conclusion Mortality due to suicide continues to grow in Portugal and varies according to gender, age is highest in the Central and South regions. A strategy of follow-up and prevention in the field of social action and health care is required, with important regional variations and greater vigilance on the illegal trade in firearms and pesticides.

  8. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Feb 19, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

  9. f

    DataSheet_1_Understanding suicidal ideation disparity between sexual...

    • figshare.com
    Updated Mar 15, 2024
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    Yiting Huang; Jiayu Liu; Gang Huang; Dejia Zhu; Yunfei Zhou; Jingchu Hu (2024). DataSheet_1_Understanding suicidal ideation disparity between sexual minority and heterosexual Chinese young men: a multiple mediation model of social support sources, self-esteem, and depressive symptoms.xls [Dataset]. http://doi.org/10.3389/fpsyt.2024.1265722.s001
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    Dataset updated
    Mar 15, 2024
    Dataset provided by
    Frontiers
    Authors
    Yiting Huang; Jiayu Liu; Gang Huang; Dejia Zhu; Yunfei Zhou; Jingchu Hu
    Description

    ObjectivesAlthough sexual minorities have reported higher levels of suicidal ideation than heterosexuals across cultures, the role of various psychosocial factors underlying this disparity among young men has been understudied, particularly in China. This study examined the multiple mediating effects of psychosocial factors between sexual orientation and suicidal ideation in Chinese sexual minority and heterosexual young men.Methods302 Chinese cisgender men who identified as gay or bisexual, and 250 cisgender heterosexual men (n=552, aged 18-39 years) completed an online questionnaire measuring perceived social support, self-esteem, depressive symptoms, and suicidal ideation.ResultsYoung sexual minority men reported significantly higher suicidal ideation and lower social support than their heterosexual peers. Structural equation modelling revealed two multiple indirect pathways. One pathway indicated that sexual orientation was indirectly related to suicidal ideation via family support and depressive symptoms. Another pathway indicated that sexual orientation was indirectly related to suicidal ideation via support from friends, self-esteem, and depressive symptoms.ConclusionsThis study is among the first to examine the potentially cascading relationships between sexual orientation and psychosocial factors with suicidal ideation in a Chinese sample of young men. The findings highlight several promising psychosocial targets (i.e., improving family/friend support and increasing self-esteem) for suicide interventions among sexual minority males in China.

  10. f

    Linear regression estimation results for suicidal rate among urban men and...

    • plos.figshare.com
    bin
    Updated Oct 23, 2023
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    Xueyan Yang; Liping Liu; Rui Li (2023). Linear regression estimation results for suicidal rate among urban men and urban women. [Dataset]. http://doi.org/10.1371/journal.pone.0286961.t006
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    binAvailable download formats
    Dataset updated
    Oct 23, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xueyan Yang; Liping Liu; Rui Li
    License

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

    Description

    Linear regression estimation results for suicidal rate among urban men and urban women.

  11. f

    Linear regression estimation results for suicidal rate among rural men and...

    • plos.figshare.com
    bin
    Updated Oct 23, 2023
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    Xueyan Yang; Liping Liu; Rui Li (2023). Linear regression estimation results for suicidal rate among rural men and rural women. [Dataset]. http://doi.org/10.1371/journal.pone.0286961.t007
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    binAvailable download formats
    Dataset updated
    Oct 23, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xueyan Yang; Liping Liu; Rui Li
    License

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

    Description

    Linear regression estimation results for suicidal rate among rural men and rural women.

  12. f

    Demographic characteristics and sexual stigma item endorsement among...

    • plos.figshare.com
    xls
    Updated Dec 30, 2024
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    Udodirim N. Onwubiko; Sarah M. Murray; Amrita Rao; Allison T. Chamberlain; Travis H. Sanchez; David Benkeser; David P. Holland; Samuel M. Jenness; Stefan D. Baral (2024). Demographic characteristics and sexual stigma item endorsement among HIV-negative men who have sex with men who responded to the American Men’s Internet Survey (AMIS), AMIS 2018–2019. [Dataset]. http://doi.org/10.1371/journal.pmen.0000212.t001
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    xlsAvailable download formats
    Dataset updated
    Dec 30, 2024
    Dataset provided by
    PLOS Mental Health
    Authors
    Udodirim N. Onwubiko; Sarah M. Murray; Amrita Rao; Allison T. Chamberlain; Travis H. Sanchez; David Benkeser; David P. Holland; Samuel M. Jenness; Stefan D. Baral
    License

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

    Description

    Demographic characteristics and sexual stigma item endorsement among HIV-negative men who have sex with men who responded to the American Men’s Internet Survey (AMIS), AMIS 2018–2019.

  13. f

    Table_1_Hikikomori Is Most Associated With Interpersonal Relationships,...

    • frontiersin.figshare.com
    • figshare.com
    pdf
    Updated Jun 2, 2023
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    Roseline Yong; Kyoko Nomura (2023). Table_1_Hikikomori Is Most Associated With Interpersonal Relationships, Followed by Suicide Risks: A Secondary Analysis of a National Cross-Sectional Study.pdf [Dataset]. http://doi.org/10.3389/fpsyt.2019.00247.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Roseline Yong; Kyoko Nomura
    License

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

    Description

    There have been few population studies of hikikomori (that is, prolonged social withdrawal and isolation), and the basic correlating factors of hikikomori are yet to be identified. Therefore, this study aimed to identify the associated basic characteristics and psychiatric factors of hikikomori. Data were obtained from the Survey of Young People’s Attitudes of 5,000 residents (aged 15–39 years) who were randomly selected from 200 urban and suburban municipalities in Japan in February 2010. The chi-square test and multiple logistic regression were used in the analysis. The data contained 3,262 participants (response rate: 65.4%); 47.7% were men (n = 1,555) and 52.3% were women (n = 1,707). Its prevalence was 1.8% (n = 58), and 41% had been in the hikikomori state for more than 3 years. There were fewer hikikomori people in neighborhoods filled with business and service industries. Significantly more men were in the hikikomori group (65.5%) than in the non-hikikomori group (47.3%). The hikikomori group was more likely to drop out of education (p < .001) and to have a psychiatric treatment history compared with non-hikikomori (37.9% vs 5%, p < .001). The multiple logistic regression analyses revealed that interpersonal relationships were significantly associated with hikikomori across three models (Model 1 adjusting for all basic characteristics, OR = 2.30, 95% CI = 1.92–2.76; Model 2 further adjusting for mental health-related factors, OR = 2.1, 95% CI = 1.64–2.68; Model 3 further adjusting for a previous psychiatric treatment history, OR = 1.95, 95% CI = 1.52–2.51). Additionally, the hikikomori group was more likely to have suicide risk factors (Model 1: OR = 1.85, 95% CI = 1.56–2.20; Model 2: OR = 1.33, 95% CI = 1.05–1.67), obsessive–compulsive behaviors (Model 1: OR = 1.57, 95% CI = 1.20–2.05), and addictive behaviors (Model 1: OR = 1.93, 95% CI = 1.37–2.70). This is the first study to show that hikikomori is associated with interpersonal relationships, followed by suicide risks. Hikikomori people are more likely to be male, have a history of dropping out from education, and have a previous psychiatric treatment history.

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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MACROTRENDS (2025). India Suicide Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/ind/india/suicide-rate

India Suicide Rate

India Suicide Rate

Explore at:
57 scholarly articles cite this dataset (View in Google Scholar)
csvAvailable download formats
Dataset updated
May 31, 2025
Dataset authored and provided by
MACROTRENDS
License

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

Time period covered
Jan 1, 2000 - Dec 31, 2021
Area covered
India
Description

Historical chart and dataset showing India suicide rate by year from 2000 to 2021.

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