The annual mortality statistics and special reports on suicidal tendencies are a tough reading. OECD Statistics give a at least an approximate, comparative perspective. Reporting routines and medical confirmation of a suicide or suicidal behavior still vary quite a bit between countries. Nevertheless, the usually reported incidents per 100.000 persons remain rather abstract.
Absolute numbers speak a clear language. For example in Germany there were about 10.300 recorded suicides in 2023, France had to mourn about 9200 in 2022. To put the size of the problem in perspective it is helpful to know that in Germany all other not aging related causes of death like traffic accidents, drugs or murder make up for around 7.000 deaths per year. The targeting of resources and prevention efforts on these vulnerable people seems inevitable. However, we see only limited additional efforts to curb the problem.
A more detailed analysis of the frequencies reveals the gender and age differences. More men commit suicides and older (very old) people have higher risks. The oldest age group of men is most at risk.
Since the Covid-19 pandemic young women show rising trends in many countries again of suicidal attempts and self-inflicted wounds. Despite a continuing effort of research (Links) there is no single cause to explain the occurrences.
As a working hypothesis, which awaits empirical tests, I would look into societal factors that stigmatize persons who are made to believe or feel like they are beyond the normal spectrum of society. The lack of acceptance of diversity concerning gender, age, ethnicity, body shapes or mental states like anxiety. Poverty might cause immense distress and suffering. Large shifts in wealth in both directions cause additional risks.
It seems as if our minds and society are constantly in a kind of „regression towards the mean“ posing challenges to those furthest away from the average or perceived norms. Percentile ranks or percentile scores are commonly used to express a person’s position in a frequency distribution. For example you are better/lower than 90% of persons of your age group. Such statements might cause further distress for persons. However, summarising across several (psychological) measurements, they may yield encouraging indications as well. Actual and perceived positions in such percentile ranks add another “social risk” as perceived positions may govern behavior. 
Research Teaching Consulting