More than 700 000 people die by suicide every year, which is one person every 40 seconds. Suicide is a global phenomenon; in fact, 77% of suicides occurred in low- and middle-income countries in 2019. Suicide accounted for 1.3% of all deaths worldwide, making it the 17th leading cause of death in 2019.
The inspiration for this study originates from the understanding that suicide is a major worldwide public health concern that affects people in all parts of the world, with an especially high frequency in low- and middle-income nations. Despite the crisis's universality, suicide rates and the effectiveness of preventative interventions vary by geography. This variation shows that location has a significant impact on both the prevalence of suicide and the effectiveness of prevention efforts.
Understanding the regional distribution of suicide rates and the geographical elements that drive these patterns is critical for building more effective, locally targeted suicide prevention measures. Geographic analysis can reveal trends and risk factors unique to certain places, allowing governments, health professionals, and communities to undertake tailored treatments. This research is motivated by the urgent need to address these inequities, as well as the potential to save lives through better educated, spatially focused suicide prevention methods.
How does the suicide rate distribution vary across different age and genders?
What geographical distribution do these patterns show?
What are the factors that correlate with these rates, guiding us toward effective intervention policies?
In this project, we tend to map world suicide distribution from 2015 to 2019. Our target group is someone who searches “suicide” on the Internet; they potentially have suicidal thoughts or know people around suffering from depression or having suicidal tendencies. Since they can use the Internet, we assume our target group can operate a basic online map with simple functions. The purpose here is to provide people a brief view of:
(1) How total suicide rate distributes among different countries.
(2) How suicide rate varies in different genders (i.e., male and female). Our data is from the World Health Organization. The attribute is deaths per 100,000 for males, females, and the total in one country.
(3) How suicide rate varies in different age groups (i.e., 19-54 and 55+). Our data is from the World Health Organization. The attribute is deaths per 100,000 for people in different groups, and the total in one country.
Suicide is a heavy topic, so we use black as the theme color of navigation bar and base map. It can be challenging to explore a world map without any instruction. Therefore, we add a welcome page with instructions and several plugins for better exploration.
There is a welcome page to show how to explore the map with a brief instruction. We set two sidebars on the right up to let users explore data by text selection or search. The default selections of continent and country are none, reminding users to choose an area for exploration; continents and countires are alphabetical ordered under selection. Users can first select a continent they are interested in, then they will find the map interface zooms into that continent or country. The plots below will show the suicide rate by gender/age group of each continent. Users can check the detailed value of average suicide rate by clicking on the bar.
For the cartographic design:
(1) Gender Theme: we visualize total suicide rate by a choropleth map, which can reflect the regional variations directly. We use purple as the predominant color ("#D8C4FB", "#CEA2E9", "#A16BBD", "#8459A8", "#542F60") to create a slightly melancholic atmosphere. We do think each suicide is a tragedy, so we visualize gender suicide rate by a proportional map to emphasize the absolute value. The size of points reflects the suicide rate of the dominant gender in the selected country. We use blue and pink ("#00B0F0","#D52977") to distinguish the dominant gender of suicide in this country. For these two maps, we add corresponding legends (three in total) to help users understand the thematic maps. Since the purpose of our map is to give users a brief overview of this topic, so we add the legend directly on the left of map, which takes of 20% area of the whole interface.
(2) Age Theme: the general design is similar, We use purple as the predominant color ("#d0efff", "#2a9df4", "#187bcd", "#1167b1", "#03254c") to create a slightly melancholic atmosphere. We use yellow (adults) and orange (elder adults) ("#f5da11","#d98a0b") to distinguish the dominant gender of suicide in this country.
For the map interface, we set basic and pop-up buttons. Apart from zooming, we set a layer group, and users can customize which layer(s) they tend to focus on. They can choose to conceal it if needed. For the content interface, maps for two theme only show data in 2019 (recent year). When they pop up the polygon, it will show the continent, country name with the suicide rate by gender/age group for this country; when they pop up the point, it will show the continent, country name with the gender/age suicide rate from year 2015 to 2019.
There is a time lag in the latest data (2019) we obtained. We lack an interactive feature that allows users to select a year and view a map generated accordingly. We create separate pages to highlight different aspects of suicide distribution, but this is not ideal for people who prefer to overview these aspects simultaneously on a single map interface. It is difficult to perform a global attribution suicide analysis because of the wide variation in natural endowments, economic structures, and cultures across countries.
The map interface shows suicide rates vary markedly among countries around the world. It also indicates that male is dominant gender in suicide; people elder than 55 years old are the primary group for suicide over these years. From the dataset, however, it is welcome to see that total suicide rate is decreasing globally in recent years. Our work provides an insight into different regional variations and potential factors in suicide distribution.
The analysis of the heatmaps reveals significant correlations between various socio-economic and environmental factors and global suicide rates, with distinct patterns observed across different age groups and genders.
Understanding these relationships is crucial for developing targeted strategies to reduce suicide rates. By addressing key factors such as improving life quality, increasing education expenditure, and reducing unemployment, policymakers and health professionals can work towards more effective prevention measures.
Shows a weak positive correlation with suicide rates in males and both sexes combined.
Indicates a negative correlation with suicide rates across all genders, particularly stronger in females.
Shows a strong negative correlation with suicide rates across all genders, especially in females.
Exhibits a strong negative correlation with suicide rates across all genders, particularly significant in females.
Displays a negative correlation with suicide rates across all genders, especially in females.
Shows a strong positive correlation with suicide rates in males and both sexes combined, suggesting that higher unemployment rates are associated with higher suicide rates in these groups.
There is a negative correlation with suicide rates across most age groups, particularly strong in the 45-54 and 55-64 age groups.
There is a negative correlation with suicide rates, indicating that higher life quality is associated with lower suicide rates, especially in age groups 0-14, 15-19, and >85.
There is a strong negative correlation with suicide rates across all age groups, particularly significant in age groups 20-24 and 75-84.
Displays a negative correlation with suicide rates in younger age groups (0-14 and 15-19) and older age groups (75-84 and >85).
Shows a negative correlation with suicide rates, especially noticeable in age groups 25-34, 35-44, and 45-54.
Exhibits a strong positive correlation with suicide rates, particularly in age groups 35-44 and 45-54, suggesting that higher unemployment rates are associated with higher suicide rates in these groups.
Suicide prevention relies on collaborative efforts from individuals, communities, and governments. The World Health Organization promotes a multi-pronged strategy that includes limiting access to suicide means, responsible media reporting, improving adolescents' socio-emotional skills, and identifying at-risk individuals early.
These elements are crucial for effective national suicide prevention plans tailored to specific local needs. Personally, openly engaging with those contemplating suicide and directing them towards professional help can make a significant difference.
SDGs 3.4
GOOD HEALTH AND WELL-BEING
Free, confidential support from a helpline or hotline near you.
Suicide prevention factsheet for families, friends, etc.
We're GROUP 6 —— three minds united by a passion for making a difference.
Our mission? To shine a light on the critical issue of suicide through our interactive and informative web project.

Our map interface provides an insight into different regional variations and potential factors in suicide distribution. Although the situation of suicide is still challenging, we do believe our project can help more people overcome thoughts of depression or suicide and regain faith in a better life. Thanks for viewing our work!
Email: xiao.cui@uzh.ch

Our website presents global suicide data from the past decade, analyzing the macro-level factors influencing suicide rates and their correlations with natural environments, socio-economic conditions, and policies. We aim to help individuals recognize their mental health issues and hope that relevant stakeholders can propose effective measures.
Email: mengqi.li@uzh.ch

Our site features a cover video, key statistics, and an interactive map revealing the realities of suicide. We offer guidance for the public, those contemplating suicide, and their loved ones on prevention. The design transitions from dark to light, symbolizing hope, with Mika's "Boku Ga Shinou To Omottanowa" as the background music, a plea for life. We hope this site provides real help and support.
Email: yilin.wei@uzh.ch