Healthcare Resources in Switzerland

General ICU Wealth Gender Datasets



4.4 hospital beds
for 1000 inhabitants

2.26 doctors
for 1000 inhabitants

Click on the map to select a canton

# Beds
# Doctors

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?

Normalized by density

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

One can imagine that the more inhabitants per canton, the more hospital beds and doctors. However, the correlation is not so clear. For instance, in the number of doctors, we observe a disparty between blue and red bubbles - where the reds represent the "rich" and the blues represent the cantons with a growth domestic product per capita (GDPpc) equal or below the average. In this case, the red slope is steeper than the blue one and can be interpreted as a more significative increase of resources per inhabitants for the rich cantons.

For both resources, Zürich and Basel-Stadt appear as outliers. Basel-Stadt, one of the business center of Switzerland with less than 200’000 inhabitants, has the biggest growth domestic product per capita and the more resources, with its numbers far above the other red cantons’s trend. Zürich on the other hand, with the biggest population in Switzerland, has a number of resources looking more similar to the blue trend despite its high growth domestic product per capita.

# Beds
# Doctors
GDPpc radius

What is the gender repartition in healthcare practitioners ?

Between 1985 and 2005, 81% of women for only 19% of men obtained a diploma in healthcare. What is even more striking is the gender gap between high-paying jobs and less-paying jobs. Indeed, over ten years, 93% of woman studied to become caregivers, nurses and midwives, whereas only 38% received a diploma to become a dentist or a doctor. As salary equity is often used as an argument to show gender equality in an industry, the access to high-paying jobs should also be given for the sake of transparency; it still remains more difficult for women to access top-management postions and "prestigious" occupations. The following interactive dataviz entitles to show this disparity in healthcare studies. Note that in the dataset, gender was considered as a binary.


[1] Professions de la santé selon le sexe: diplômes délivrés depuis 1980
Federal Statistical Office FSO - 2007
Used for the bipartite graph (Gender), this dataset spans over 20 years (1985-2005) which allows to analyse the trend over time. By plotting the male/female ratio for each category of jobs, we can see that the gender gap is going down over the years for doctors and dentists but does not change (or even get bigger) for the nurses, caregivers and midwives. What is also very interesting in this dataset is that all the categories contains two columns for male and female, except for the midwives. Is it really true that no man studied in this field before 2005 or it is just because the name of the function is gender-biased?

[2] Regional comparison of selected indicators 2020
Federal Statistical Office FSO - 28.01.2020
Used for the map (General) and the bubble chart (Weatlh), this dataset contains information per canton with indicators such as population density, growth domestic product per capita and health sector information such as the number of beds and the number of doctors per inhabitants. The number of beds per inhabitants corresponds to the total number of beds, including intensive and acute care unit beds, clinical beds and psychiatric beds.

[3] Liste zertifizierte (anerkannte) Intensivstationen
Swiss Society for Intensive Care Medicine (SGI/SSMI) - 23 March 2020
Used for the bar chart (ICU)

[4] Near-real time monitoring of intensive care occupancy (IES system)
Health Geography and Policy Group, ETH
Data collection by the Swiss Armed Force - 13 May 2020
Used for the bar chart (ICU)

[5] TopoJSON from Switzerland
Courtesy of the EPFL course COGN-480
Used for the map (General)