Ein neues Diagramm erklärt mein Substack. Erstellt mit matplotlib in Python.
Daten stammen von NHS England.
Von Aggravating-Food9603
![[OC] Die häufigsten männlichen und weiblichen Gründe für eine Krankenhauseinweisung in England](https://www.bytesde.com/wp-content/uploads/2025/10/xpdnoqs7spuf1-860x1536.png "[OC] Die häufigsten männlichen und weiblichen Gründe für eine Krankenhauseinweisung in England")
Ein neues Diagramm erklärt mein Substack. Erstellt mit matplotlib in Python.
Daten stammen von NHS England.
Von Aggravating-Food9603
10 Kommentare
Neat, daily reminder to never ride a motorcycle or bike on the roads.
Feels like a lot of 18-30 yo dudes weren’t taught to ride defensively and within their abilities
Ok, so what’s up with the 20 guys (1.7%) admitted for „Obstetric and gynaecological devices?“
Wowwww. The comparison of categories between genders is wild
If r/whywomenlivelonger were a chart
My take from this is not that motorcycles or bicycles are dangerous but that the risk of injury on a two wheeler is dramatically lower than falling off a ladder at work.
Animal-rider and animal drawn vehicle accident?
So men get wrecked at work or doing work, attacked or involved with bikes.
Women are getting plastic surgery, falling off horses or having babies.
Yh I’ve never seen a female scaffolder have been told they’re is a few about nowadays luckily most falls aren’t fatal most fatal falls off scaffolds nowadays are usually other trades especially when they decide to adjust/ adapt it their own i myself have fallen off a few of my own scaffolds ironically caused by the safety harness that’s ment to prevent that very thing 👍🏽
I’d like to see this broken down by age category, just to see whether men get smarter as they age. For the women, there might be four categories majority female in the 65+ cohort, mostly preventative care.