Government of the NetherlandsGovernment of the Netherlands
NLEN
Coronavirus Dashboard
All national figures

Hospitals
- Hospital admissions

Hospital admissions

A rise in the number of patients with COVID-19 could overburden hospitals. This number is also a valid indicator for epidemic growth. This section of the dashboard shows the number of patients with COVID-19 admitted to hospital and the number of regular hospital beds occupied by patients with COVID-19.

Last values obtained on Thursday, 11 August. Is updated on working days.

Source: NICE via RIVM & LCPS

More information and data files in 'Coronadashboard data explained' 

Articles on this topic

How many people are currently in hospital?

Age distribution of COVID patients in hospitals in the Netherlands

Useful links
  1. More information on ICU admissions
  2. Effectiveness of COVID-19 vaccination against hospital and intensive care admission in the
    Netherlands
  3. Weekly update on coronavirus and hospital admissions on
    rivm.nl

Average number of reported daily hospital admissions

73

This is the average number of people with COVID-19 admitted to hospital, including patients from outside the hospital admitted directly to the ICU. This is an average of the period between 31 July and 6 August. This is a rounded number. The most recent days are not included in the average, because the figures for these days are not yet complete.

Value from Sunday, 31 July - Saturday, 6 August · Source: NICE via RIVM

Hospital beds occupied by COVID-19 patients

654
50 less than the previous value

This number shows how many non-ICU hospital beds are occupied by COVID-19 patients.

Value of Thursday, 11 August · Source: LCPS

Hospital admissions over time

This graph shows hospital admissions, including admissions directly to ICU. The figure for each day indicates the number of people with COVID-19 admitted on that day. There are often reporting delays of a few days for hospital admissions; data for the most recent days is therefore incomplete. Therefore, the line for the last 7 days is not included in the average.

The map shows "Show all"
The map shows "Last 7 days"
The map shows "Last 30 days"
The map shows "Last 3 months"
The map shows "Last 6 months"
The map shows "Last year"
This graph shows how many patients with a COVID-19 infection were admitted to hospital, including admissions directly to ICU. The figure for each day indicates the number of people admitted on that particular day. Hospital admissions are often reported a few days later, data on the most recent days is therefore incomplete. To avoid the impression that admissions are down when they are actually up, the graph shows no line for the last 7 days. Use the keyboard to navigate through the time in the graph. With the left and right arrow keys you can move backwards and forwards in time. Use the left angle bracket < to go back and the right angle bracket > to go forward. With page-up and page-down you make bigger steps. Use the Home key and End key to go to the beginning and end of the timeline.
0
  • Average number over seven days
  • Hospital admissions
  • Data for recent days is incomplete due to reporting delays

Source: NICE via RIVM

Hospital bed occupancy over time (non ICU)

This graph shows the number of hospital beds (excluding ICU beds) occupied over time by patients with COVID-19. It represents not just the days on which patients were admitted to hospital but all days on which patients with COVID-19 were in hospital. The figures are provided by LCPS (National Coordination Centre for Patient Distribution) and updated on working days.

The map shows "Show all"
The map shows "Last 7 days"
The map shows "Last 30 days"
The map shows "Last 3 months"
The map shows "Last 6 months"
The map shows "Last year"
This graph shows the number of hospital beds (ICU beds not included) occupied over time by patients with COVID-19. It represents not just the days on which patients were admitted to hospital but all days on which patients with COVID-19 were in hospital. The figures are provided by LCPS (National Coordination Centre for Patient Distribution) and updated on working days. Use the keyboard to navigate through the time in the graph. With the left and right arrow keys you can move backwards and forwards in time. Use the left angle bracket < to go back and the right angle bracket > to go forward. With page-up and page-down you make bigger steps. Use the Home key and End key to go to the beginning and end of the timeline.
  • Number of occupied hospital beds

Source: LCPS

Residence of patients admitted to hospital

This map shows the municipalities and safety regions where patients with corona have been hospitalized. Patients can also be admitted outside their region. The numbers are relative (per 100,000 inhabitants) because of the different number of inhabitants per municipality and security region. You can see absolute numbers by moving the mouse to a specific security region or municipality. Please note: hospital admissions are often reported with a delay of a few days.

Value of Saturday, 6 August · Source: NICE via RIVM

Hospital admissions per age group over time

This graph shows the number of people per 1.000.000 who were admitted to hospital, by age group. The graph shows the weekly totals of the admissions that took place that week.

The map shows "Show all"
The map shows "Last 7 days"
The map shows "Last 30 days"
The map shows "Last 3 months"
The map shows "Last 6 months"
The map shows "Last year"
Select one or more age groups to view them
This graph shows the number of people per 1.000.000 who were admitted to hospital, by age group. The graph shows the weekly totals of the admissions that took place that week. Use the keyboard to navigate through the time in the graph. With the left and right arrow keys you can move backwards and forwards in time. Use the left angle bracket < to go back and the right angle bracket > to go forward. With page-up and page-down you make bigger steps. Use the Home key and End key to go to the beginning and end of the timeline.
  • 0-19
  • 20-29
  • 30-39
  • 40-49
  • 50-59
  • 60-69
  • 70-79
  • 80-89
  • 90+
  • All age groups
  • Data for recent days is incomplete due to reporting delays

Source: NICE via RIVM

All national figures