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CDC

Antimicrobial Resistance

Methicillin-resistant Staphylococcus aureus

% Resistant in 2024

38.2% Resistant

Number of Resistant Isolates of the Total Number of Isolates Tested In 2024

3,659 Resistant

/ 9,579 Tested

% Resistant by Patient Age in 2024

Pediatric:
25.1% Resistant
Adult:
39.3% Resistant

Pathogen Profile

Methicillin-resistant Staphylococcus aureus

Staphylococcus aureus causes a range of illnesses, from skin and wound infections to pneumonia and bloodstream infections that can cause sepsis and death. Less severe infections are common and occur outside acute healthcare settings and in the community. Methicillin-resistant Staphylococcus aureus (MRSA) is S. aureus that is resistant to the drug methicillin and other drugs of its class and is found primarily in healthcare settings, although since 2000 it has spread to the community where it has become common.

Geographic Locations

Antimicrobial resistance varies by location, driven by a number of factors, including antibiotic use and infection control practices in individual healthcare facilities, the underlying health and age of the patient population, and regional spread from nearby locations.

Percent Methicillin resistance Among Staphylococcus aureus by State Map

This map shows the variation in % methicillin resistance among Staphylococcus aureus causing all event types in 2024.

Percent Methicillin resistance Among Staphylococcus aureus by State

Percent Methicillin resistance Among by State
Locationvalue
Alabama52.5
AlaskaInsufficient Data
Arizona28.3
Arkansas55.3
California38.1
Colorado23
Connecticut32.8
Delaware36
District of Columbia33.3
Florida48.7
Georgia43.7
Hawaii28.6
Idaho25
Illinois39
Indiana37.9
Iowa39.3
Kansas36.6
Kentucky45.2
Louisiana50.4
Maine24.5
Maryland37.5
Massachusetts37.3
Michigan29.5
Minnesota23.4
Mississippi58.2
Missouri34
Montana30.9
Nebraska35
Nevada38.6
New Hampshire25
New Jersey37.5
New Mexico40.7
New York35.9
North Carolina41.4
North Dakota14.3
Ohio48.8
Oklahoma34.3
Oregon28.6
Pennsylvania35.9
Puerto Rico47.4
Rhode Island40.5
South Carolina35.2
South Dakota32.7
Tennessee49
Texas43.1
Utah32.6
Vermont39.1
Virginia48.3
Washington31.2
West Virginia64.4
Wisconsin27
WyomingInsufficient Data

Percent Methicillin resistance Among Staphylococcus aureus by State List

Geography

Geography
statevalue
United States38.2%
Alabama52.5%
AlaskaNo Data
Arizona28.3%
Arkansas55.3%
California38.1%
Colorado23.0%
Connecticut32.8%
Delaware36.0%
District of Columbia33.3%

Changes Over Time in Methicillin resistance Among Staphylococcus aureus

This graph displays percent antimicrobial resistance from 2011 to 2024 for all event types. Blank areas of the chart represent 0% resistance, indicating that zero resistant pathogens were reported for the selected year, phenotype, and HAI type. “Insufficient data” indicates that less than 20 pathogens were isolated and tested for resistance.

Changes Over Time in Methicillin resistance Among Staphylococcus aureus
Year% Resistant
201146.6
201246.9
201346.9
201445.1
201545.8
201644.4
201742.8
201842.2
201940.6
202040.6
202140
202238.1
202338.1
202438.2

Healthcare Facility Type

The setting or type of healthcare facility can influence the types of procedures and prevention measures that are related to healthcare-associated infections and antimicrobial resistance.

Methicillin resistance Among Staphylococcus aureus by Hospital Type

This graph displays percent antimicrobial resistance by hospital type in 2024.

Percent resistant Among Staphylococcus aureus by Hospital Type

Percent resistant Among Staphylococcus aureus by Hospital Type
Hospital Type% Resistant
General Acute Care Hospitals37.7
Long Term Acute Care Hospitals70.1
Inpatient Rehabilitation Facilities68

Footnotes

  • HAIs include Catheter-associated Urinary Tract Infections (CAUTI), Central Line-associated Bloodstream Infections (CLABSI), and Surgical Site Infections (SSI).
  • CI (Confidence Interval) - The national, regional, and state-level data included in Antimicrobial Resistance information are displayed with 95% confidence intervals around the percent resistance, which were calculated using a mid-P exact test and are an indication of precision.
  • Map legends are classified using the Jenks Natural Breaks method.