Theme of World Suicide Prevention Day 2020

Article Written By Muhammad Abiodun Sulaiman (Muslim | Data Analyst and Scientist | Business Intelligence Analyst | Analytic Storyteller | Machine Learning | Artificial Intelligence | Software Engineer)

In recognition of the #worldsuicidepreventionday, which is marked annually on the 10th day of September, I took some time off to study the suicide cases in selected countries across the world between 1985 – 2016 (data obtained from Kaggle).

In a bad to drill through the data and gain in-depth insights into the cases, a dashboard was built with the data using #microsoftpowerbi, and the findings of my study is detailed in this medium article.

Suicide simply refers to the intentional killing of oneself. In other words, it can be described as a particular instance of a person intentionally killing himself or herself, or of multiple doing so. Usually, many factors influence suicide, however, in this study, we will be looking at the impact of the Gross Domestic Product (GDP) and the total population of a country on its suicide rate, while also studying the suicide rate across the different age ranges, sorted by generations…

Suicide simply refers to the intentional killing of oneself. In other words, it can be described as a particular instance of a person intentionally killing himself or herself, or of multiple doing so. Usually, many factors influence suicide, however, in this study, we will be looking at the impact of the Gross Domestic Product (GDP) and the total population of a country on its suicide rate, while also studying the suicide rate across the different age ranges, sorted by generations.

NB: the ages contained herein are estimated using the year 2020 as the current year.

The dataset used for this study was gotten from Kaggle (https://www.kaggle.com/russellyates88/suicide-rates-overview-1985-to-2016.) and contained the reported cases of suicide across 101 countries and spans between 1985–2016 (32 years). Upon obtaining the data, an additional feature (Continent) was introduced to the data set, to study the continental suicide rate further, considering the impacts of GDP ($ per-capital) and population. This study made use of Microsoft Power BI as its analytics tool, and the results of the analysis are as follows;

The continental breakdown for the number of countries captured in the data set is given below;

i. Europe: 41
ii. Asia: 21
iii. North America: 21
iv. South America: 10
v. Africa: 4
vi. Oceania: 4

2. The number of reported suicide cases over the period captured in this study is 7 million, and the continental breakdown is as follows;
i. Asia: 3M
ii. Europe: 2M
iii. North America: 1M
iv. South America: 447K
v. Oceania: 85K
vi. Africa: 11KThe average continental suicide rate/100k population breakdown is as follows;
i. Asia: 19.62%
ii. Europe: 14.27%
iii. Oceania: 12.97%
iv. North America: 10.52%
v. South America: 5.58%
vi. Africa: 1.25%

4. The Average continental GDP Per Capital ($) is as follows;
i. Europe: $23.1K
ii. Oceania: $20.77K
iii. Asia: $16.64K
iv. North America: $11.25K
v. Africa: $6.82K
vi. South America: $6.01K

5. The breakdown of suicide rate by gender and generation is as follows;

6. The top 5 and bottom five countries by suicide rates are;
i. Lithuania (41.18%), Russian Federation (32.78%), Sri Lanka (30.48%), Belarus (30.34%) and Hungary (29.72%).
ii. Dominica (0.00%), Saint Kitts and Nevis (0.00%), Oman (0.58%), Jamaica (0.81%) and Maldives (0.91%).

7. During the study, we observed that there is a negative correlation between Average GDP ($) and Suicide rate (/100k pop), i.e., suicide rate (/100k pop) decreases as average GDP ($) increases and vice versa. Similarly, there is a positive correlation between population and suicide rate, i.e., suicide rate (/100K pop) increases as population increases. We observed that there is a positive correlation between population and average GDP ($), i.e., average GDP ($) increases as population increases.

8. The highest record of suicides was in the year 1999 (256119;14.42%), while the lowest record was in the year 2016 (15603).

9. We used the “key influencers” tool to investigate the rise/decline in suicide rate using Average GDP, Total Population and Age Range as explanatory variables, and Country and Generation as an expansion variable. We noted that when the age range is 5 -14, suicide rate (/100K pop) decreases by 21.64%, while as population decrease by 45673223, suicide rate (/100K pop) decreases by 1.85%. When the age range is 75+, the suicide rate increases by 21.06%, hence, we can say that the two age ranges that influence the suicide rate as 5–14 and 75+, with 75+ accounting for 21% increment in the suicide rate, and 5 -14 accounting for 22% decline in the suicide rate.

4 thoughts on “Theme of World Suicide Prevention Day 2020

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