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Original Article
2026
:14;
18
doi:
10.25259/JCH_18_2025

Silent Epidemics: A Decade-Long Investigation into Accidental and Suicide Deaths in India

Department of Community Medicine, Shri Balaji Institute of Medical Sciences, Raipur, Chhattisgarh, India.
Department of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.

*Corresponding author: Amit Kumar Mishra, Department of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India. dramitmishra@aiimsraipur.edu.in

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Jha A, Mishra AK. Silent Epidemics: A Decade-Long Investigation into Accidental and Suicide Deaths in India. J Compr Health. 2026;14:18. doi: 10.25259/JCH_18_2025

Abstract

Background:

Premature deaths, whether due to accidents or suicide, are a major public health concern in India, with far- reaching impacts on individuals, families, and society.

Objectives:

This study aimed to analyze the trends in accidental and suicide deaths across different states and union territories in India over the past decade.

Material and Methods:

Secondary data analysis of accidental and suicide deaths from the annual reports of “Accidental Deaths and Suicides in India” published by the National Crime Records Bureau in 2012, 2017, and 2022 was done. The changes in the number of accidental and suicide deaths were calculated for each state and Union Territory in the past two 5-year periods and presented in Geographical Information System maps to visualize the spatial patterns of these changes.

Results:

The analysis revealed notable variations in the trends of accidental and suicide deaths across Indian states. Certain states, such as Uttar Pradesh, Odisha, and Karnataka, experienced a substantial increase in accidental deaths, while others, such as Gujarat, Rajasthan, and Delhi, reported a decline in the number. Similarly, the patterns of suicide deaths showed diverse trajectories, with states such as Tamil Nadu, Maharashtra, and Madhya Pradesh reporting substantial increase. At the same time, Andhra Pradesh, Telangana, and West Bengal witnessed a reduction in the number.

Conclusion:

These findings highlight the need for targeted, evidence-based interventions to address the underlying factors contributing to accidental and suicide deaths in different regions. Factors such as infrastructure, socioeconomic conditions, mental health support, and disaster preparedness play crucial roles in shaping these public health challenges. Policymakers and public health authorities must prioritize region-specific strategies to reduce premature mortality and promote overall well-being in India effectively.

Keywords

Accidental deaths
Geographic information system
Premature mortality
Preventable deaths
Suicide deaths
Trends analysis

INTRODUCTION WITH OBJECTIVES

Premature deaths, whether due to accidents or suicide, are indeed tragic occurrences that have significant impacts on individuals, families, and society as a whole.1,2 Accidental deaths, such as those resulting from unintentional injuries, motor vehicle crashes, drownings, or falls, not only devastate the families of the deceased but also place a substantial financial burden on national resources.1,2 These preventable deaths often occur among younger individuals, leading to a significant loss of potential years of life and productivity.3 Suicide death is another complex and multifaceted form of premature death that has far-reaching consequences. Suicide is influenced by a variety of factors, including mental health conditions, substance abuse, social isolation, and access to lethal means. The emotional toll on families and communities affected by suicide is immense, and the economic impact can also be substantial due to lost productivity and healthcare costs.3 Addressing the underlying causes of both accidental and suicide-related premature deaths is crucial. Effective public health interventions, such as improving road safety, promoting mental health awareness, and restricting access to lethal means, can help reduce the burden of premature mortality. Comprehensive strategies that address the social, economic, and environmental determinants of health are essential to prevent these tragic losses of life.4

To address these sensitive issues, promote public health, and guide efforts to prevent premature deaths in the country, in 1967, the then-existing Directorate of Coordination Police Wireless first published a report titled “Accidental deaths and Suicide deaths in India.”5 In 1986, the National Crime Records Bureau (NCRB) was established under the Ministry of Home Affairs, taking over the responsibility of publishing the annual report.6 The NCRB publishes the “Accidental Deaths and Suicides in India” report annually to provide transparent data on accidental deaths and suicide, inform evidence-based policymaking, identify high-risk groups, raise public awareness, and monitor progress in addressing these critical public health issues in India.7,8 The report has been published consistently since then, with the latest edition covering data for the year 2022.8

Accidental deaths and suicide deaths are critical public health concerns in India, with significant impacts on mortality and societal well-being. India reports one of the highest numbers of suicide deaths globally, accounting for nearly 200,000 suicide deaths annually.6 The search results indicate that accidental death and suicide death rates have been changing over time in India, with significant variations across different states and regions.5-8 For example, Tamil Nadu reported a 53.8% increase in accidental deaths from 2020 to 2021, while Delhi showed a 22.6% decline. Suicide death rates also show diverse trends, with some states such as Tamil Nadu and Andhra Pradesh having higher rates compared to the national average.8

Monitoring changes in the number of deaths over time in different states provides insights into evolving trends and patterns of accidental deaths and suicide deaths. This information helps in understanding the dynamics of these causes of death and guides the development of targeted interventions. Studying changes in death rates across states helps identify regions with higher mortality rates and disparities in healthcare access or social determinants of health. This knowledge is essential for implementing region-specific interventions to address the underlying factors contributing to preventable deaths; at the same time, states with declining deaths need to be motivated to continue their interventions, if any. Understanding variations in death numbers across states informs public health planning and resource allocation. It helps prioritize areas with higher mortality rates for targeted interventions, ensuring that resources are directed toward areas most in need of support to prevent premature deaths. Understanding these changes is crucial for policymakers, public health officials, and researchers to address the underlying causes of accidental and suicide deaths and implement evidence-based measures to reduce such incidents.

The present study sought to answer the following research question, What are the trends of accidental death and suicide in different states and union territories of India? By mapping the changes in accidental deaths and suicide deaths over time through secondary data analysis, this study provided insights into the effectiveness of existing prevention strategies in different states, quantifying the changes in these deaths across the states, and identifying states with decreasing trend to guide the states which are lagging so that these states can be focused for targeted interventions to address these critical public health issues.

MATERIAL AND METHODS

Descriptive observational study

A descriptive observational study with secondary data analysis was performed of the state-wise data of the accidental and suicide deaths extracted from the annual reports published by the NCRB for the years 2022, 2017, and 2012. These data were then compiled to obtain the number of deaths for each state/Union Territory (UT) for both accidental and suicide deaths during the specified years. To examine the changes over time, we calculated the difference in the number of accidental deaths and suicide deaths between 2022 and 2017, as well as between 2017 and 2012, for each state and UT, i.e., the change in deaths every 5 years. This allowed us to identify the magnitude and direction of changes in these critical public health mortalities. Then, using Quantum Geographic Information System (QGIS), a freely available geographic information system (GIS) software, the changes in suicide and accidental deaths were plotted on the India map (Choropleth map). The states were arranged in ascending order (from minus to plus) based on the changes in suicide and accidental deaths every 5 years and presented in the maps in quantiles. This approach enabled the creation of separate maps for better visualization of the changes in accidental deaths and suicide deaths between 2022 and 2017, as well as between 2017 and 2012. The change in accidental deaths and suicide deaths in 5 years (2022 vs. 2017 and 2017 vs. 2012) was presented in the GIS map. A graduated color coding system was used to represent the states with a quartile distribution of the data on accidental and suicide death changes. In the current, the change in the absolute number of accidental and suicide deaths was presented among the states of the country. The states were classified into quartiles based on the change in death counts over the selected time points. Choropleth maps were generated using QGIS, with a graduated color scale representing quartile distributions across Indian states.

As Telangana was officially formed as the 29th state of India on June 2, 2014, hence the data for Telangana for the year 2012 was calculated proportionally with the state Andhra Pradesh, similarly, Dadra and Nagar Haveli and Daman and Diu were merged into a single UT called Dadra and Nagar Haveli and Daman and Diu on January 26, 2020, so for the year 2022, the number of deaths were divided proportionally between Dadra and Nagar Haveli and Daman and Diu. An attempt was made to understand the demographic risk factors and preventive strategies of states showing a high increase in accidental and suicide deaths, and states with declining numbers of accidental and suicide deaths, respectively.

RESULTS

The change in the number of accidental deaths across different states and union territories in India between 2012 and 2017 was mapped [Figure 1]. Between 2012 and 2017, Madhya Pradesh recorded the highest increase in accidental deaths, with a rise of 4,594 cases, followed closely by Uttar Pradesh with an increase of 4,552, and Rajasthan with 4,109 additional cases. Uttar Pradesh consistently recorded the highest number of accidental deaths, likely reflecting its large population size. On the other hand, Andhra Pradesh, which experienced a significant drop of 12,614, followed by West Bengal, showed the most considerable decrease with 9,128 cases, and Telangana, with a reduction of 5,144 cases. Among the union territories, the changes were generally less pronounced due to smaller populations. Puducherry registered an increase of 374 accidental deaths, and Dadra and Nagar Haveli reported a modest rise of 19 cases. Conversely, Delhi experienced a notable reduction of 3,447 cases, and Chandigarh reported 1,041 fewer accidental deaths. These figures highlight the varied trends in accidental deaths across the regions, indicating significant increase in some states while others experienced notable declines.

State-wise accidental death changes between 2012 and 2017.
Figure 1: State-wise accidental death changes between 2012 and 2017.

Figure 2 shows the difference in accidental deaths in different states of India between the years 2017 and 2022. In the year 2022, Uttar Pradesh witnessed the highest surge in accidental deaths, recording 8,170 more fatalities than in 2017. This alarming increase underscores the pressing need for enhanced safety protocols in the state. Odisha followed closely, with a sharp rise of 6,687 additional accidental deaths over the 5 years, marking the second-highest increase among all states. Karnataka ranked third, with 5,472 more deaths in 2022 compared to 2017. Kerala reported the fourth-largest increase with 3,311 more unintentional deaths. Bihar experienced a significant spike as well, with an additional 4,228 accidental deaths in 2022. Madhya Pradesh reported a rise of 3,115 deaths, while Maharashtra had 2,019 more unintentional fatalities. Jharkhand, with an increase of 1,659 deaths, registered the eighth-highest rise in accidental deaths. In contrast, several states showed a decrease in the number of accidental deaths, including Gujarat (−2,131), Rajasthan (−1,383), and Delhi (−1,263). The Union Territories of Chandigarh, Daman and Diu, and Nagaland also reported decrease in accidental deaths over this period.

State-wise accidental death changes between 2017 and 2022.
Figure 2: State-wise accidental death changes between 2017 and 2022.

The difference in suicide deaths between the years 2012 and 2017 across different states and UTs in India is presented in Figure 3. The presented map data highlight a mixed picture, with some states such as Andhra Pradesh, Tamil Nadu, and Telangana having substantial decline in suicide deaths, while others, such as Madhya Pradesh and Maharashtra, experienced a substantial increase in suicide deaths between 2012 and 2017. The state with the largest decrease in suicide deaths was Andhra Pradesh, with 8,884 fewer deaths in 2017 as compared to 2012, followed by Tamil Nadu (−2,468) and Telangana (−2,003). Other states which were reported a considerable decrease in suicide deaths include West Bengal (−2,943), Karnataka (−1,037), Kerala (−620), Rajasthan (−983), and Assam (−988). In contrast, Madhya Pradesh recorded the largest increase, with 1,995 more suicide deaths. This was followed by Maharashtra (+1,534) and Haryana (+560). The UT of Delhi showed an increase of 563 suicide deaths, while Puducherry (+40) and Chandigarh (−1) had smaller changes. The northeastern states generally had smaller variations, both positive and negative. Arunachal Pradesh (−41), Meghalaya (+37), and Nagaland (+3) reported modest changes. Jammu and Kashmir (−127) and Uttarakhand (−93) also reported a decrease in suicide deaths during this period.

State-wise suicide death changes between 2012 and 2017.
Figure 3: State-wise suicide death changes between 2012 and 2017.

The difference in the numbers of suicide deaths across the state and union territories of India over a 5-year interval, i.e., 2017 and 2012 year is represented in Figure 4. This mapping of data highlights a substantial increase in suicide deaths across most Indian states, with Tamil Nadu, Maharashtra, Madhya Pradesh, and Andhra Pradesh recording the largest spikes. Tamil Nadu showed the highest increase in suicide deaths, with 5,375 more cases in 2022 compared to 2017. This was followed by Maharashtra (+5,100), Madhya Pradesh (+3,616), and Andhra Pradesh (+3,554). Other states with substantial rise in numbers include Uttar Pradesh (+3,750), Kerala (+2,292), Karnataka (+1,890), Gujarat (+1,584), and Odisha (+1,647). The UT of Delhi recorded 955 additional suicide deaths during this period. In contrast, Puducherry reported a decrease of 100 suicide deaths, and Manipur was the only other state to report a decline, with 17 fewer suicide deaths. The northeastern states generally had smaller increase in number, such as Arunachal Pradesh (+60), Meghalaya (+48), Mizoram (+62), and Nagaland (+16). Jammu and Kashmir (+36) and Uttarakhand (+483) also experienced more moderate rise compared to the national trend.

State-wise suicide deaths between 2017 and 2022.
Figure 4: State-wise suicide deaths between 2017 and 2022.

DISCUSSION

In this study, the absolute number of deaths was analyzed rather than state-specific death rates for inter-state comparisons to emphasize that changes in absolute death numbers may be obscured if state-specific death rates are considered, due to variations in population size. While changes in death rates reflect trends, changes in absolute numbers offer a clearer indication of the real public health burden, regardless of fluctuations in state-specific death rates. The trends analysis and mapping of accidental and suicide deaths across Indian states reveal considerable changes in the relative rankings of certain states over time/ between the two 5 years units. For instance, Chhattisgarh and Rajasthan, which were previously in the bottom quartile for accidental deaths for the 5 years between 2012 and 2017, have now moved into the top quartile between the years 2017 and 2022. Conversely, the states of Jammu and Kashmir, Tamil Nadu, Telangana, and West Bengal were shifted from the second quartile to the bottom/fourth quartile in terms of accidental death changes during the two 5-year units. When examining the trend and mapping of suicide deaths, several states have experienced a transition from the top/first quartile to the bottom/fourth quartile. These include Andhra Pradesh, Karnataka, Kerala, Tamil Nadu, and Telangana. In addition, Rajasthan has also seen a similar shift in its ranking for suicide deaths. These findings suggest that the pattern of accidental and suicide deaths has undergone notable changes across different Indian states over the past decade.

Uttar Pradesh has the highest number of accidental deaths in both 5-year intervals. The reason may be that Uttar Pradesh has the largest population as compared to any state in India, with over 200 million people as of 2021. With a large population comes a higher absolute number of accidental deaths, even if the rate is not the highest.9 As per the study, the probable causes contributing to high accidental deaths in these states may be due to poor road infrastructure, lack of enforcement of traffic rules, and high rates of speeding and drunk driving.10 Uttar Pradesh also has a high rate of accidental deaths due to forces of nature like floods and lightning strikes.11 The state is prone to natural disasters which claim many lives each year.8 Due to poverty and lack of access to quality healthcare in many parts of Uttar Pradesh, many accident victims may not receive timely and adequate medical treatment, leading to higher mortality rates.12 Occupational accidents are also a concern, especially in the large informal sector. Construction workers, factory laborers, and farmers face high risks of accidental injuries and deaths.10

Similarly, suicide deaths in Madhya Pradesh and Maharashtra states have continued to be on the rise since the last decade. Reasons as per studies conducted in these states may be a combination of socioeconomic factors, mental health challenges, and lack of adequate support systems that have led to alarmingly high and rising suicide death tolls in both Madhya Pradesh and Maharashtra over the past decade.7,13-16 Targeted interventions addressing the root causes are needed to curb this public health crisis in these states.

Limitations

In this study, the absolute number of deaths was analyzed which limits the ability to make direct comparisons across Indian states to some extent. In addition, due to the limited number of time points available in the dataset, advanced statistical trend analysis and the calculation of confidence intervals were not feasible. It is also important to note that the data used in this study were sourced from NCRB records, which rely on state-wise police reporting. Variations in data quality and reporting practices across Indian states may impact the observed trends.

Way forward

In the current study, we have analyzed only the absolute numbers of accidental and suicide deaths in India. To develop a deeper understanding of these critical public health issues, we recommend that future research should focus on the etiological factors leading to these deaths. By investigating the etiological factors behind these preventable mortalities, researchers can uncover patterns, risk factors, and potential interventions. This information is essential for policymakers and stakeholders to develop targeted strategies that address the root causes and mitigate the incidence of these tragic events. Given India’s diverse socioeconomic landscape and cultural practices, a state-wise analysis will yield valuable insights into the unique challenges and risk factors for each region. Such insights can guide the development of tailored interventions and the effective allocation of resources. In addition, an age-wise analysis will help identify the most vulnerable age groups and the specific factors contributing to the high rates of these deaths within those groups. This information can inform the creation of age-appropriate interventions and educational programs aimed at promoting mental health and safety. The need of the hour is scientific studies with detailed analysis of these preventable mortalities to deeply understand the etiology of these deaths and to develop robust, need-based, effective interventions by policymakers to save these innocent lives.

CONCLUSION

The data on accidental and suicide deaths in India over the last decade reveal significant variations across different states, highlighting the need for targeted interventions and safety measures tailored to the specific challenges faced by each state. A significant change in the burden of accidental and suicide deaths has been observed in different states, and the underlying factors contributing to these changes need to be identified to develop targeted strategies for addressing these public health challenges. Factors such as infrastructure, socioeconomic conditions, mental health support, and disaster preparedness all play a role in shaping accidental and suicide death patterns. Targeted, evidence-based policies and programs are crucial to address these disparities and save lives.

Ethical approval:

Institutional Review Board approval is not required, as the current study is a secondary analysis of data available in public domain.

Declaration of patient consent:

Patient’s consent is not required as there are no patients in this study.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil.

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