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CDC

Antimicrobial Resistance

Multidrug-resistant Enterobacter

% Resistant in 2024

5.5% Resistant

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

186 Resistant

/ 3,405 Tested

% Resistant by Patient Age in 2024

Pediatric:
4.9% Resistant
Adult:
5.5% Resistant

Pathogen Profile

Multidrug-resistant Enterobacter

Enterobacter spp. cause pneumonia, urinary tract infections, and bloodstream infections in hospitalized patients. Fewer than 1 of 10 healthcare-associated infections are caused by Enterobacter spp. However, many of these bacteria have become very resistant to antibiotics. These strains of Enterobacter have become very resistant to several, if not all, antibiotics and are therefore described as multidrug-resistant.

Current Threat Report

Threat LevelNot Currently Rated

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 Multidrug resistance Among Enterobacter spp. by State Map

This map shows the variation in % multidrug resistance among Enterobacter spp. causing all event types in 2024.

Percent Multidrug resistance Among Enterobacter spp. by State

Percent Multidrug resistance Among by State
Locationvalue
Alabama0
AlaskaInsufficient Data
Arizona4.8
Arkansas13
California4.6
Colorado10.1
ConnecticutInsufficient Data
DelawareInsufficient Data
District of Columbia4.5
Florida7.3
Georgia13.1
HawaiiInsufficient Data
IdahoInsufficient Data
Illinois9
Indiana2.9
Iowa5
KansasInsufficient Data
Kentucky5.1
Louisiana2.5
MaineInsufficient Data
Maryland13.6
Massachusetts8.8
Michigan3.7
Minnesota3.8
Mississippi7.4
Missouri1
MontanaInsufficient Data
Nebraska3.2
NevadaInsufficient Data
New HampshireInsufficient Data
New Jersey8.3
New MexicoInsufficient Data
New York4.8
North Carolina4.1
North DakotaInsufficient Data
Ohio1.8
Oklahoma8.7
Oregon3.3
Pennsylvania6.5
Puerto Rico45.8
Rhode IslandInsufficient Data
South Carolina7.3
South DakotaInsufficient Data
Tennessee4.6
Texas2.9
Utah12
VermontInsufficient Data
Virginia2.2
Washington1.6
West Virginia0
Wisconsin4.3
WyomingInsufficient Data

Percent Multidrug resistance Among Enterobacter spp. by State List

Geography

Geography
statevalue
United States5.5%
Alabama0.0%
AlaskaNo Data
Arizona4.8%
Arkansas13.0%
California4.6%
Colorado10.1%
ConnecticutNo Data
DelawareNo Data
District of Columbia4.5%

Changes Over Time in Multidrug resistance Among Enterobacter spp.

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.

Due to definition changes, caution should be used when reviewing this phenotype over time.

Changes Over Time in Multidrug resistance Among Enterobacter spp.
Year% Resistant
20114.5
20124
20135.1
20144.9
20152.8
20163.1
20171.5
20184.7
20193.8
20205.4
20215
20226.3
20236.7
20245.5

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.

Multidrug resistance Among Enterobacter spp. by Hospital Type

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

Percent resistant Among Enterobacter spp. by Hospital Type

Percent resistant Among Enterobacter spp. by Hospital Type
Hospital Type% Resistant
General Acute Care Hospitals5.3
Long Term Acute Care Hospitals15
Inpatient Rehabilitation Facilities0

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.
  • Klebsiella aerogenes is only counted in this phenotype for 2020 events and forward. Prior to 2020, this pathogen was referred to as Enterobacter aerogenes.
  • The definition for this phenotype underwent changes in 2021. For more information, refer to the AR&PSP Phenotype Definitions.