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.

India IN: Suicide Mortality Rate: Male data was reported at 17.800 NA in 2016. This records a decrease from the previous number of 18.000 NA for 2015. India IN: Suicide Mortality Rate: Male data is updated yearly, averaging 18.000 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 18.600 NA in 2000 and a record low of 17.700 NA in 2010. India IN: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.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;

This dataset contains data about obesity, suicides and unemployment segregated by Country. The sources of data are wikipedia tables as updated on 11/04/2022. More information can be found in project's github: https://github.com/martinsanc/wikipedia_scraper

Países (List of countries by population (United Nations) - Wikipedia)

Country

UN continental region

UN statistical subregion

Population 1 July 2018

Population 1 July 2019

Change

Desempleo (List of countries by unemployment rate - Wikipedia)

Unemployment Rate

Sourcedate of information

Suicidios (List of countries by suicide rate - Wikipedia)

All

Male

Female

Tasa de obesidad por país (List of countries by suicide rate - Wikipedia)

Rank

Obesity rate

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.

This dataset provides comprehensive information on the total number of suicides in Mexico from 1990 to 2023, categorized by sex and state.The dataset adheres to the government methodology by using the year of registration and the state of residence of the deceased as key variables. It includes the following data points:The total male and female populations.Suicide counts for males and females.Suicide rates for each sex.Data SourcesSuicide Data: Extracted from the INEGI database of registered deaths.Source: INEGI - Microdata on DeathsPopulation Data: Sourced from Mexican government population projections for 2020-2070.Source: Gob.mx - Population ProjectionsThis dataset is a valuable resource for understanding trends in suicide across Mexico and offers insights into differences by sex and state-level demographics.

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.

This dataset shows the Canadian Armed Forces (CAF) rate for suicide per 100,000 for Regular Force males. As the number of events was less than 20 in most years, rates were not calculated annually as these would not have been statistically reliable. Regular Force female rates were not calculated because female suicides were uncommon. This dataset is taken from the yearly Report on Suicide Mortality in the Canadian Armed Forces released on the Canada.ca platform at the homepage link provided down below.

Crude suicide rates (per 100 000 population)

  Dataset Description

This dataset provides information on 'Crude suicide rates' for countries in the WHO African Region. The data is disaggregated by the 'Sex' dimension, allowing for analysis of health inequalities across different population subgroups. Units: per 100 000 population

  Dimensions and Subgroups

Dimension: Sex Available Subgroups: Female, Male

  Data Structure

The dataset is in a wide format.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/crude-suicide-ratesby-sex-for-african-countries.

This group of datasets describe the suicides in Scotland for the period 1982-2009. There are 4 separate datasets: All Suicides/Male Suicides/Female Suicides/All Suicide Rate (expressed per 100,000 people). The data is broken down into Local Authority Areas making it easier to investigate any spatial disparity in the suicide figures. A couple of points are worth noting are that it is unclear if the suicide data shows all suicides or just those of Adults. A recent Scottish Government report(http://www.scotland.gov.uk/Publications/2007/03/01145422/20) used deaths of people over 15 years old. Differences in the rates between this data and the results presented in the Scottish Government report may also be due to different population datasets being used. Suicide data sources form the Scottish Public Health Observatory (http://www.scotpho.org.uk/home/Healthwell-beinganddisease/suicide/suicide_data/suicide_la.asp) and the population data used to calculate the rates was sourced from ShareGeo Open (http://hdl.handle.net/10672/95) which uses mid-year estimates downloaded from Nomis (www.nomisweb.co.uk/. Datasets were joined to Local Authority (district, unitary authority and borough) boundaries downloaded from Ordnance Survey OpenData Boundary Line dataset. All spatial analysis was carried out in ArcGIS. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2011-01-13 and migrated to Edinburgh DataShare on 2017-02-21.

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.

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

This short report uses data on drug-related emergency department (ED) visits from the Drug Abuse Warning Network (DAWN) to examine the trends and characteristics of ED visits involving drug-related suicide attempts among ED patients aged 45-64 in 2011. The report discusses the patterns for male and female patients, the drugs most frequently involved in the suicide attempt-related ED visits, and the outcome of the visits. Findings from 2011 are compared with 2005 data. The report notes that current suicide prevention public health efforts are directed at primarily young people and the elderly, but that the findings of this analysis--the increase in drug-related suicide attempts among adults ages 45-64--underscore the importance of understanding risk factors and developing appropriate prevention strategies for this age group.

Abstract copyright UK Data Service and data collection copyright owner. The aims of the project were to examine alcohol- and suicide-related beliefs among UK Protestants and Jews, both men and women, to investigate the so-called alcohol-suicide-depression hypothesis. This hypothesis suggests that attitudes to alcohol use and suicide will be more favourable among Protestants than Jews, and among men more than women. Questionnaire measures of alcohol- and suicide-related beliefs and behaviour assessed the dependent variables in an analysis of covariance design. The independent variables were cultural-religious group (Protestant vs. Jewish background or affiliation). Covariates, assessed by questionnaire measures, were religiosity, depression, anxiety, and (a new measure of) tolerance for depression. Main Topics: The data cover: demographics - participant's age, other demographic factors, religious practice; alcohol - consumption, beliefs about alcoholism, expectations about alcohol's effects, attitudes to alcohol use; suicide - attempts, ideation, reasons for living; tolerance for depression; depression, anxiety. Standard Measures Reasons for Living inventory (RFL): Linehan, M. M. et al (1983) 'Reasons for staying alive when you are thinking of killing yourself: the Reasons for Living inventory' Journal of Consulting and Clinical Psychology, 52, pp.276-286. Religious Activity Measure, from: Loewenthal, K. M., Macleod, A. K. and Cinnirella, M. (2001) 'Are women more religious than men? Gender differences in religious activity among different religious groups in the UK' Personality and Individual Differences. Biphasic Alcohol Effects Scale (BAES): Martin, C. S. et al (1993) 'Development and validation of the Biphasic Alcohol Effects Scale' Alcoholism - Clinical and Experimental Research, 17, pp.140-146. Alcohol consumption, from: Weiss, S. and Moore, M. (1992) 'Perception of alcoholism among Jewish, Moslem and Christian teachers in Israel' Journal of Drug Education, 22, pp.253-260. Suicide ideation and attempts, from the Present State Examination: Wing, J. K., Cooper, J. E. and Sartorius, N. (1973) The measurement and classification of psychiatric symptoms, London: Cambridge University Press. Anxiety, depression: Zigmond, A. S. and Snaith, R. P. (1993) 'The Hospital Anxiety and Depression Scale' Acta Psychiatrica Scandinavia, 67, pp.361-370.

Methods of suicide/self-inflicted injuries for Santa Clara County residents. The methods of injury for suicide deaths are provided for the total county population and by race/ethnicity. Data for emergency department utilization and hospital discharges are summarized only for total county population. Data are presented for pooled years combined. Missing data are not included in the analysis. Source: Santa Clara County Public Health Department, VRBIS, 2007-2016. Data as of 05/26/2017; Office of Statewide Planning and Development, 2007-2014 Emergency Department Data; Office of Statewide Planning and Development, 2007-2014 Patient Discharge Data.METADATA:Notes (String): Lists table title, notes and sourceYear (String): Year of eventData element (String): Lists data represents deaths, hospital discharges or emergency department visitsCategory (String): Lists the category representing the data. Suicide death data are presented as: Santa Clara County is for total population, sex: Male and Female, and race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only). Suicide attempt/ideation data are presented as: Santa Clara County is for total population.Means of injury (String): Methods are categorized as: Poisoning, Suffocation, Firearms, Fall, Cut/pierce, Fire/flame and other.Percentage (Numeric): Percentage

Suicide is among the main challenges that need to be addressed in developed countries. In this paper, we analyse suicides across the 17 Spanish regions over the period 2014–2019. More precisely, our objective is to re-study the determinants of suicides focusing on the latest economic expansion period. We use count panel data models and sex stratification. A range of aggregate socioeconomic regional-level factors have been identified. Our empirical results show that: (1) a socioeconomic urban-rural suicide gaps exist; (2) there are significant gender differences, for the women a Mediterranean suicide pattern appears whereas unemployment levels have a significant importance for men, (3) social isolation factors, when significant, they show an (a priori) surprisingly positive result. We provide new highlights for suicide prevention in Spain. Precisely, it is highlighted that jointly policies by gender and attending to vulnerable groups are both necessary.

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.

ABSTRACT Objective To describe the epidemiological profile and analyze the time trend of suicide mortality among adolescents (10-19 years old) from the Brazilian Northeast, from 2001 to 2015. Methods This is an observational study, which took place in the Northeast region, Brazil. The study period was from 2001 to 2015. Deaths from intentional self-harm (X60 to X84). exogenous poisoning of undetermined intent (Y10 to Y19) and intentional self-harm (Y87.0) were considered, according to the 10th Review of the International Classification of Diseases (ICD-10), for adolescents aged 10 to 19 years. The variables analyzed were: sex, age group, race / color, specific ICD, state of residence and suicide mortality rate/100,000 inhabitants. Results There were 3,194 deaths due to suicide in the age group studied, with a male predominance (62.1%; n = 1,984), age group 15 to 19 years (84.8%; n = 2,707), race/brown color (65.4%; n = 2,090); between 4 and 7 years of schooling (31.7%; n = 1,011) and at CID X70 (47.8%; n = 1,528). The time trend of mortality was increasing from 2001 to 2015 (APC: 2.4%; p < 0.01), with higher rates in males. There was an increasing trend in the suicide rate, among men, throughout the period (AAPC: 2.9%; p < 0.01). In women, a decreasing trend was identified as of 2004 (APC: -2.2%; p < 0.01). Conclusion The epidemiological profile was characterized by male gender, age group 15-19 years, color/brown race and average schooling. The trend showed a growth pattern in males and a decline in females. It is recommended that public policies are aimed at the adolescent population.

ABSTRACT Objectives: Analyze the suicide mortality time trends among adolescents in Brazil from 2000 to 2015. Methods: Data were collected from the Brazilian Mortality Database and from the Brazilian Institute of Geography and Statistics. Study variables were sex, year and underlying cause of death. The study included deaths from Intentional Self-Harm, X60-X84 – according to the 10th Revision of the International Classification of Diseases (ICD-10), of adolescents aged 10 to 19. The simple linear regression technique was used and results were considered statistically significant when p ≤ 5%. Results: From 2000 to 2015, there were 11,947 deaths due to suicide of adolescents in Brazil and 67% of these occurred in male adolescents, which corresponds to a 2,06:1 male-female ratio. There was a statistically significant increase in adolescent suicide mortality in Brazil (p = 0.016), which increased from 1.71 per 100,000 inhabitants in 2000 to 2.51 in 2015, a raise of 47%. The increase occurred in behalf of the increment in suicides of male adolescents (p = 0.001) specifically in the North (p < 0.001) and Northeast (p < 0.001) of Brazil. In regard to the female group, there was a downtrend of mortality by suicide in the Center West region (p = 0.039), but when it comes to Brazil as a whole, there was a stabilization behavior of mortality by suicide. Conclusions: These results indicate an increase in the suicide rate of adolescents in Brazil, particularly in the male population. The improvement of suicide prevention strategies in Brazil is imperative.

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

Corrected adolescent suicide rates (per 100 thousand), by sex and age group. Brazil, 2000–2022.