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.
- Data Source
- National Healthcare Safety Network (NHSN)
- Current Threat Report
Threat LevelSerious
Estimated Cases323,700
Estimated Deaths10,600
Healthcare Costs (USD)$1.7 B
Source: COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2024
- Years Included
- 2011 - 2024
Geographic Locations
Percent Methicillin resistance Among Staphylococcus aureus by State Map
Percent Methicillin resistance Among Staphylococcus aureus by State
| Location | value |
|---|---|
| Alabama | 52.5 |
| Alaska | Insufficient Data |
| Arizona | 28.3 |
| Arkansas | 55.3 |
| California | 38.1 |
| Colorado | 23 |
| Connecticut | 32.8 |
| Delaware | 36 |
| District of Columbia | 33.3 |
| Florida | 48.7 |
| Georgia | 43.7 |
| Hawaii | 28.6 |
| Idaho | 25 |
| Illinois | 39 |
| Indiana | 37.9 |
| Iowa | 39.3 |
| Kansas | 36.6 |
| Kentucky | 45.2 |
| Louisiana | 50.4 |
| Maine | 24.5 |
| Maryland | 37.5 |
| Massachusetts | 37.3 |
| Michigan | 29.5 |
| Minnesota | 23.4 |
| Mississippi | 58.2 |
| Missouri | 34 |
| Montana | 30.9 |
| Nebraska | 35 |
| Nevada | 38.6 |
| New Hampshire | 25 |
| New Jersey | 37.5 |
| New Mexico | 40.7 |
| New York | 35.9 |
| North Carolina | 41.4 |
| North Dakota | 14.3 |
| Ohio | 48.8 |
| Oklahoma | 34.3 |
| Oregon | 28.6 |
| Pennsylvania | 35.9 |
| Puerto Rico | 47.4 |
| Rhode Island | 40.5 |
| South Carolina | 35.2 |
| South Dakota | 32.7 |
| Tennessee | 49 |
| Texas | 43.1 |
| Utah | 32.6 |
| Vermont | 39.1 |
| Virginia | 48.3 |
| Washington | 31.2 |
| West Virginia | 64.4 |
| Wisconsin | 27 |
| Wyoming | Insufficient Data |
Percent Methicillin resistance Among Staphylococcus aureus by State List
Geography
| state | value |
|---|---|
| United States | 38.2% |
| Alabama | 52.5% |
| Alaska | No Data |
| Arizona | 28.3% |
| Arkansas | 55.3% |
| California | 38.1% |
| Colorado | 23.0% |
| Connecticut | 32.8% |
| Delaware | 36.0% |
| District of Columbia | 33.3% |
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.
| Year | % Resistant |
|---|---|
| 2011 | 46.6 |
| 2012 | 46.9 |
| 2013 | 46.9 |
| 2014 | 45.1 |
| 2015 | 45.8 |
| 2016 | 44.4 |
| 2017 | 42.8 |
| 2018 | 42.2 |
| 2019 | 40.6 |
| 2020 | 40.6 |
| 2021 | 40 |
| 2022 | 38.1 |
| 2023 | 38.1 |
| 2024 | 38.2 |
Healthcare Facility Type
Methicillin resistance Among Staphylococcus aureus by Hospital Type
Percent resistant Among Staphylococcus aureus by Hospital Type
| Hospital Type | % Resistant |
|---|---|
| General Acute Care Hospitals | 37.7 |
| Long Term Acute Care Hospitals | 70.1 |
| Inpatient Rehabilitation Facilities | 68 |
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.