The Antimicrobial Resistance Network (AMRNet): Clinical data and reports

The AMRNet surveillance program collects antimicrobial resistance data submitted by Canadian laboratories.

  • Last updated: 2026-01-26
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Antimicrobial Resistance (AMR) data

The Public Health Agency of Canada’s AMRNet program collects antimicrobial resistance data submitted by laboratories from provinces and territories across Canada. Currently results include data submitted by laboratories in British Columbia, Alberta, Saskatchewan, Ontario, New Brunswick, Newfoundland and Labrador, Northwest Territories and Prince Edward Island.

The figures and tables below summarize antimicrobial resistance trends among clinical isolates from blood and urine. The antibiograms (Figure 1) include only 2024 data, while the graphs (Figure 2) includes data from 2020–2024. Please see the Methods and limitations section below for a detailed description of the data included in these charts.

Figure 1. Antibiogram of the susceptibility (%) of bacteria to select antibiotics (2024)

Click the boxes of the antibiogram to display more information.

Download as .csv
Percent susceptibility
0-49 50 55 60 65 70 75 80 85 90 95 >99
Intrinsically resistant
Not tested/reported

Antibiogram of the percent susceptibility of bacteria to select antibiotics, in blood (2024)

Figure 1: Text description

Figure 2. Susceptibility (%) of bacteria to select antibiotics over time (2020–2024)

Hover over the lines by year to display more information. Click the antibiotic names to add or remove lines.

Figure 2: Percent susceptibility of bacteria to select antibiotics over time (2020–2024)

Figure 2: Text description

Methods and limitations

AMRNet is a national surveillance program currently under development. AMRNet collects phenotypic susceptibility data on clinical isolates from both inpatient and outpatient settings.

Data from participating laboratories may not be representative of all Canadian regions. Different laboratories use different techniques for antimicrobial susceptibility testing. Data on specific bacteria-antimicrobial combinations are not available from all laboratories.

To reduce the likelihood of bias in results, AMRNet uses the following reporting criteria for antibiograms:

  1. Data must represent laboratory-bacteria-specimen type combinations where at least 85% of isolates are tested or reported for a given antimicrobial.
  2. Data must represent isolates from at least three provinces/territories.
  3. Data must represent at least 30 isolates.

Fields that do not meet these requirements are indicated as N/A in Figure 2.

Where possible, duplicates, as defined by the Clinical & Laboratory Standards Institute, were removed for all analyses presented here.

Disclaimer

Data presented are for research and surveillance purposes and should not be used to direct clinical therapy.

Reports and publications

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