Deliberate Self-Harm and Suicide: Global and Indian Trends

Every year, hundreds of thousands of lives are lost to suicide worldwide – and for every death, many more people engage in deliberate self-harm. These are not isolated incidents. They reflect deep patterns shaped by age, gender, geography, and social circumstances. Understanding the epidemiology of deliberate self-harm (DSH) and suicide – the who, where, and how often – is the essential first step toward prevention. Here is what the global and Indian data actually tell us.

Defining the scope: what counts as deliberate self-harm?
Global prevalence of self-harm and suicide
Age patterns
Gender disparities
Geographic and income variation
Suicide trends in India
Who is most affected in India?
Common methods
Regional variation within India
Risk factors for repetition and suicide
Prior self-harm and psychiatric history
Unemployment and economic hardship
Social isolation
Other key predictors
Why the data matters

Defining the scope: what counts as deliberate self-harm?

Deliberate self-harm (DSH) is an umbrella term that covers any intentional, self-directed act causing bodily injury or psychological harm, with or without suicidal intent. It includes non-suicidal self-injury (NSSI) – such as cutting or burning – as well as intentional drug overdoses. Suicide, by contrast, refers to the act of voluntarily ending one’s own life. The two concepts overlap significantly: research shows that over half of individuals with DSH present significant suicide risk, and almost all adolescents who attempt suicide also report a history of deliberate self-harm. Keeping this continuum in mind is critical when reading the numbers below.

Global prevalence of self-harm and suicide

Self-harm has become a recognised global public health crisis. A large meta-analysis covering nearly 687,000 children and adolescents across three decades found the aggregate lifetime prevalence of deliberate self-harm to be 13.7%, while the 12-month prevalence stood at 14.2%. For non-suicidal self-injury specifically, the lifetime figure reached 22.1% – making it the most common form of self-injurious behaviour in young people. Suicide attempts showed a lifetime prevalence of 6%, with suicidal ideation affecting as many as 18% of young people over their lifetime.

On completed suicides, the picture is equally sobering. An estimated 766,000 deaths by suicide were recorded globally in 2023, making it the 21st leading cause of death – surpassing HIV. Of these, approximately 535,000 were male and 231,000 female. While the absolute number of suicide deaths has risen since 1990, age-standardised rates have actually declined – by 25% in males and 51% in females over that period – a trend attributed to improvements in mental health care and crisis services in many countries.

Age patterns

Age is one of the most consistent variables in the epidemiology of self-harm and suicide. Suicide is the second leading cause of death among adolescents aged 10-19 globally. The ratio of self-harm to suicide attempts changes dramatically across the lifespan: in young people, for every one suicide there are approximately 30 acts of self-harm, whereas in the elderly that ratio narrows to 3:1 – indicating that self-harm in older adults carries a far greater risk of fatality. Among adolescents, self-harm typically begins around age 13, with a meta-analysis estimating lifetime prevalence in this group at 16.9%.

Gender disparities

Gender shapes both the prevalence and the outcome of suicidal behaviour in well-documented ways. Females show a significantly higher prevalence of non-suicidal self-injury than males – 25.4% versus 22.0% among adolescents. Females also report more suicide attempts. Yet male deaths by suicide are consistently higher globally, a pattern researchers call the “gender paradox” of suicide. The explanation lies primarily in method choice: males tend to use more violent and immediately lethal means such as firearms and hanging, while females are more likely to use poisoning or overdose, which have higher survival rates. Males also tend to plan their suicides more thoroughly and are less likely to seek help beforehand, compounding the fatality rate.

Geographic and income variation

Subgroup analyses show that young people in non-Western countries and low-to-middle-income settings face higher aggregate rates of suicidal behaviour, deliberate self-harm, and non-suicidal self-injury. This reflects disparities in access to mental health care, economic hardship, and the relative lack of suicide surveillance infrastructure in these regions. The burden of self-harm is therefore not equally distributed – it concentrates in the most vulnerable populations and geographies.

Suicide trends in India

India occupies a uniquely concerning position in the global picture. Data from India’s National Crime Records Bureau (NCRB) shows a consistent and steep rise in suicide rates – from 9.9 per lakh population in 2017 to 12.4 per lakh in 2022, the highest rate recorded in 56 years of official tracking. The country is one of a very small number of low-and-middle-income countries that publishes annual national suicide data, which makes the NCRB’s Accidental Deaths and Suicides in India (ADSI) report an indispensable – if imperfect – resource.

In 2023, a total of 171,418 suicides were reported in India – a marginal increase of 0.29% from the 170,924 reported in 2022 – with the rate marginally declining from 12.4 to 12.3 per lakh. Despite this minor dip in rate, the absolute numbers remain at a historic high and show no sign of sharp reversal.

Who is most affected in India?

The age distribution of suicide deaths in India points strongly toward working-age adults. People between the ages of 18-30 and 30-45 together accounted for nearly two-thirds (66%) of all suicides in India in 2023. Alarmingly, suicide among those below 18 years rose by 5.68% compared to the previous year, signalling an intensifying mental health crisis among children and youth. India also bears a disproportionate share of the global female suicide burden: India’s contribution to global female suicide deaths rose from 25.3% in 1990 to 36.6% by 2016 – an extraordinary figure for a single country.

Occupationally, daily wage earners constituted the single largest group, accounting for 28% of all suicides in 2023. Unemployed individuals saw the sharpest rise – a 9% increase to 14,234 deaths compared to the previous year. Over 66% of those who died by suicide belonged to the lowest income group, with an annual income of ₹1 lakh or less. This economic concentration underscores that suicide in India is not purely a mental health issue – it is also a crisis of poverty, precarity, and absent social safety nets.

Common methods

The methods used in suicide attempts and completions matter clinically because they directly determine lethality and the potential for intervention. In India, hanging and self-poisoning (including the ingestion of pesticides and medications) have consistently ranked as the most common methods. NCRB data across 2017-2022 shows a notable shift in method trends over time, alongside increases in suicides linked to alcohol and substance use – rising from 5.2% of all suicides in 2017 to 6.8% in 2022. Among adolescents presenting to hospitals for self-harm globally, drug overdose is the predominant method, accounting for 60% of cases. Method choice has direct implications for prevention: restricting access to highly lethal means – such as certain pesticides – has been shown to reduce overall suicide mortality in agricultural communities.

Regional variation within India

Suicide rates vary dramatically across Indian states, from as low as 0.6 per lakh in Bihar to 43.1 per lakh in Sikkim, with southern cities like Vijayawada and Kollam among the highest-burden urban centres. Maharashtra has consistently recorded the largest absolute number of suicide cases for three consecutive years, followed by Tamil Nadu. These regional disparities reflect differences in urbanisation, economic stress, agricultural dependence, reporting infrastructure, and possibly cultural factors in help-seeking behaviour.

Risk factors for repetition and suicide

Not everyone who self-harms once will do so again – but a significant proportion will. Understanding who is at highest risk of repetition or of progressing to completed suicide is one of the central concerns of clinical and public health research in this area.

Prior self-harm and psychiatric history

The single strongest predictor of a future suicide attempt is a past attempt. A literature review found prior suicide attempt to be the most consistent predictor of non-fatal repetition, reported as significant in 13 out of 16 multivariate analyses. Closely tied to this is psychiatric history. A meta-analysis of psychological autopsy studies found that any mental disorder carried an odds ratio of 13.1 for suicide, making it one of the strongest individual risk factors identified. Personality disorders, particularly borderline personality disorder, were also strongly associated. Among those presenting repeatedly to hospitals with self-harm, almost 90% had a history of a mental or behavioural disorder, with alcohol use disorder, borderline personality disorder, and major depressive disorder the most common diagnoses.

Unemployment and economic hardship

The relationship between financial precarity and suicide is robust and consistent across countries. Unemployment carries an odds ratio of 3.8 for suicide, making it one of the three strongest sociodemographic risk factors identified in large-scale meta-analysis. This aligns closely with Indian NCRB data, where economic categories consistently dominate the suicide profile. Debt, bankruptcy, and low income all independently raise risk. Research estimates that unemployment raises suicide rates by approximately 50% compared to employed populations.

Social isolation carries the highest odds ratio among sociodemographic factors for suicide – an OR of 4.0 – placing it above even unemployment in terms of magnitude of association. Clinical literature describes social isolation as an integral part of the suicide crisis, functioning as a red flag for imminent risk. It is closely linked to depression in a bidirectional relationship – each can cause and reinforce the other. Being single, living alone, and lacking social support all contribute independently to elevated risk.

Other key predictors

Several additional factors consistently emerge in the research literature as predictors of both self-harm repetition and suicide. Physical illness doubles the risk of suicide following self-harm (RR: 1.95), while a psychiatric diagnosis more than doubles it (RR: 2.13). Multiple prior episodes of self-harm are also strongly associated with subsequent suicide. Hopelessness – a persistent sense that the future holds no possibility of improvement – has been extensively linked to suicidal ideation and behaviour even when controlling for depression. The clinical literature also emphasises that prior psychiatric history is paramount in determining suicide risk, with hopelessness and rumination standing out as psychological markers warranting attention.

Family history of suicide or mental disorder adds a further genetic and environmental layer of vulnerability. A family history of mental disorder carried an odds ratio of 5.2 for suicide, and a family history of suicide itself an odds ratio of 3.7, suggesting that familial transmission of risk operates both through inherited predisposition and learned patterns of response to distress. Substance use, particularly alcohol dependence, compounds the risk further – lowering inhibition, increasing impulsivity, and deepening depressive states.

Why the data matters

Epidemiological data on self-harm and suicide is not simply a set of statistics. It is a map of where suffering concentrates – in young adults, daily wage earners, the socially isolated, and those already carrying the weight of a psychiatric diagnosis. In India specifically, the consistent rise in suicide rates across six years runs counter to global trends, demanding stronger public investment in early intervention, economic safety nets, and mental health infrastructure. The WHO’s global suicide prevention framework emphasises that suicides are preventable – but prevention begins with honestly confronting what the numbers reveal.

What do you think? Given that India’s suicide rates continue to rise even as global rates decline, do socioeconomic factors like poverty and unemployment deserve equal attention as mental health disorders in suicide prevention policy? And with young adults between 18-45 accounting for two-thirds of India’s suicide deaths, what structural changes in education, employment, and social support could meaningfully reduce this burden?

If you or someone you know is in emotional distress, please contact iCall at 9152987821 or the Vandrevala Foundation Helpline at 1860-2662-345 (India), or reach the 988 Suicide and Crisis Lifeline by calling or texting 988 (US).

References

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Table of Contents

Defining the scope: what counts as deliberate self-harm? 🔗

Global prevalence of self-harm and suicide 🔗

Age patterns 🔗

Gender disparities 🔗

Geographic and income variation 🔗

Suicide trends in India 🔗

Who is most affected in India? 🔗

Common methods 🔗

Regional variation within India 🔗

Risk factors for repetition and suicide 🔗

Prior self-harm and psychiatric history 🔗

Unemployment and economic hardship 🔗

Social isolation 🔗

Other key predictors 🔗

Why the data matters 🔗