Healthcare Resources in Switzerland

Switzerland

8’544’527
inhabitants

4.4 hospital beds
for 1000 inhabitants

2.26 doctors
for 1000 inhabitants

Click on the map to select a canton

What is the difference between the number of certified ICU beds at the beginning of the soft lockdown and the recent numbers listed by the Swiss Armed Force?

Does the number of resources grow with the number of inhabitants and canton's wealth?

One might assume that as the population per canton grows, so too would the availability of hospital beds and doctors. However, the correlation isn't as straightforward. For example, when it comes to the number of doctors, we observe a disparity between the blue and red bubbles, where the reds represent the "rich" cantons and the blues represent those with a GDP per capita equal to or below the average. In this case, the red slope is steeper than the blue one, indicating a more significant increase in resources per inhabitant for the wealthy cantons.

In terms of both resources, Zürich and Basel-Stadt stand out as outliers. Basel-Stadt, despite having fewer than 200,000 inhabitants, boasts the highest GDP per capita and the most resources, with its figures far surpassing the trend observed in other red cantons. On the other hand, Zürich, with Switzerland's largest population, exhibits a number of resources more closely aligned with the blue trend, despite its high GDP per capita

What is the gender repartition in healthcare practitioners ?

Between 1985 and 2005, 81% of women, compared to only 19% of men, obtained diplomas in healthcare. What's even more striking is the gender gap between high-paying and low-paying jobs in the field. Over the course of a decade, 93% of women pursued careers as caregivers, nurses, and midwives, while only 38% pursued diplomas to become dentists or doctors. While salary equity is often cited as evidence of gender equality within an industry, access to high-paying positions should also be considered for transparency. Despite strides in this direction, it remains more challenging for women to secure top-management positions and enter "prestigious" occupations. The following interactive data visualization aims to illustrate this disparity in healthcare studies. It's important to note that in the dataset, gender was treated as a binary variable.