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CDC

Antimicrobial Resistance

Vancomycin-resistant Enterococcus faecium

% Resistant in 2024

59.8% Resistant

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

2,486 Resistant

/ 4,158 Tested

% Resistant by Patient Age in 2024

Pediatric:
19.5% Resistant
Adult:
60.6% Resistant

Pathogen Profile

Vancomycin-resistant Enterococcus faecium

Enterococci cause a range of illnesses, mostly among patients receiving healthcare, including bloodstream infections, surgical site infections, and urinary tract infections. E. faecium can be resistant to many antibiotics, including vancomycin. Such resistance makes treatment of these infections very difficult.

Current Threat Report

Threat LevelSerious

Estimated Cases54,500

Estimated Deaths5,400

Healthcare Costs (USD)$539 M

Source: COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2024

Years Included
2011 - 2024
Resources

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 Vancomycin resistance Among E. faecium by State Map

This map shows the variation in % vancomycin resistance among E. faecium causing all event types in 2024.

Percent Vancomycin resistance Among E. faecium by State

Percent Vancomycin resistance Among by State
Locationvalue
Alabama70.9
AlaskaInsufficient Data
Arizona56
Arkansas78
California55.1
Colorado27.8
Connecticut60.7
DelawareInsufficient Data
District of ColumbiaInsufficient Data
Florida59.8
Georgia62.6
HawaiiInsufficient Data
IdahoInsufficient Data
Illinois64.9
Indiana70.9
Iowa53.6
KansasInsufficient Data
Kentucky58.2
Louisiana71
MaineInsufficient Data
Maryland55.8
Massachusetts73
Michigan67.1
Minnesota50.9
Mississippi63.6
Missouri64.9
MontanaInsufficient Data
Nebraska39.1
Nevada77.4
New HampshireInsufficient Data
New Jersey65.4
New Mexico60
New York66.3
North Carolina61.4
North DakotaInsufficient Data
Ohio57.7
Oklahoma54.7
Oregon36
Pennsylvania59.6
Puerto RicoInsufficient Data
Rhode IslandInsufficient Data
South Carolina66.7
South DakotaInsufficient Data
Tennessee63
Texas59.4
UtahInsufficient Data
VermontInsufficient Data
Virginia55.8
Washington38.9
West Virginia50
Wisconsin54.7
WyomingInsufficient Data

Percent Vancomycin resistance Among E. faecium by State List

Geography

Geography
statevalue
United States59.8%
Alabama70.9%
AlaskaNo Data
Arizona56.0%
Arkansas78.0%
California55.1%
Colorado27.8%
Connecticut60.7%
DelawareNo Data
District of ColumbiaNo Data

Changes Over Time in Vancomycin resistance Among E. faecium

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 Vancomycin resistance Among E. faecium
Year% Resistant
201180.6
201277.2
201377.3
201475.6
201574.6
201674.6
201771.7
201867.8
201965.1
202065.7
202166.8
202267.3
202362.8
202459.8

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.

Vancomycin resistance Among E. faecium by Hospital Type

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

Percent resistant Among E. faecium by Hospital Type

Percent resistant Among E. faecium by Hospital Type
Hospital Type% Resistant
General Acute Care Hospitals58.9
Long Term Acute Care Hospitals79.5

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.