This statistic depicts the the occupancy rate of hospital beds in Massachusetts during fiscal years 2013 to 2020, sorted by type of hospital. In 20208, the occupancy rate for teaching hospitals was around 71 percent.

This map service includes the acute and non-acute care hospitals in Massachusetts.Acute care hospitals are those licensed under MGL Chapter 111, section 51 and which contain a majority of medical-surgical, pediatric, obstetric, and maternity beds, as defined by the Massachusetts Department of Public Health (DPH). The features in this layer are based on database information provided to MassGIS from the DPH, Office of Emergency Medical Services (OEMS) and the Center for Health Information and Analysis (CHIA).All hospitals in the state that have a 24-hour emergency department are included in this layer, but not all facilities in this layer have an emergency department (the ER_STATUS field stores this data). Other attributes include cohort, adult and pediatric trauma levels, and special public funding. See CHIA's Massachusetts Acute Hospital Profiles page for more information. CHIA reviewed the final revision in November 2018.Non-acute care hospitals in Massachusetts are typically identified as psychiatric, rehabilitation, and chronic care facilities, along with some non-acute specialty hospitals, using the Massachusetts Department of Public Health (DPH) and Department of Mental Health (DMH) license criteria as well as a listing on the state's Bureau of Hospitals website. The non-acute care hospitals are based on database information provided by the DPH and the Center for Health Information and Analysis (CHIA). CHIA reviewed this layer in November 2018.Non-acute care hospitals in this layer do not contain 24/7 emergency departments.See the full data layer descriptions:Acute care hospitalsNon-acute care hospitalsMap service also available

Note: After November 1, 2024, this dataset will no longer be updated due to a transition in NHSN Hospital Respiratory Data reporting that occurred on Friday, November 1, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

Due to a recent update in voluntary NHSN Hospital Respiratory Data reporting that occurred on Wednesday, October 9, 2024, reporting levels and other data displayed on this page may fluctuate week-over-week beginning Friday, October 18, 2024. For more information on NHSN Hospital Respiratory Data reporting, please visit https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient. 

This dataset represents weekly respiratory virus-related hospitalization data and metrics aggregated to national and state/territory levels reported during two periods: 1) data for collection dates from August 1, 2020 to April 30, 2024, represent data reported by hospitals during a mandated reporting period as specified by the HHS Secretary; and 2) data for collection dates beginning May 1, 2024, represent data reported voluntarily by hospitals to CDC’s National Healthcare Safety Network (NHSN). NHSN monitors national and local trends in healthcare system stress and capacity for up to approximately 6,000 hospitals in the United States. Data reported represent aggregated counts and include metrics capturing information specific to COVID-19- and influenza-related hospitalizations, hospital occupancy, and hospital capacity. Find more information about reporting to NHSN at: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

Source: COVID-19 hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN).

• Data source description (updated October 18, 2024): As of October 9, 2024, Hospital Respiratory Data (HRD; formerly Respiratory Pathogen, Hospital Capacity, and Supply data or ‘COVID-19 hospital data’) are reported to HHS through CDC’s National Healthcare Safety Network based on updated requirements from the Centers for Medicare and Medicaid Services (CMS). These data are voluntarily reported to NHSN as of May 1, 2024 until November 1, 2024, at which time CMS will require acute care and critical access hospitals to electronically report information via NHSN about COVID-19, Influenza, and RSV, hospital bed census and capacity, and limited patient demographic information, including age. Data for collection dates prior to May 1, 2024, represent data reported during a previously mandated reporting period as specified by the HHS Secretary. Data for collection dates May 1, 2024, and onwards represent data reported voluntarily to NHSN; as such, data included represents reporting hospitals only for a given week and might not be complete or representative of all hospitals. NHSN monitors national and local trends in healthcare system stress and capacity for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Find more information about reporting to NHSN: https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html. Find more information about the updated CMS requirements: https://www.federalregister.gov/documents/2024/08/28/2024-17021/medicare-and-medicaid-programs-and-the-childrens-health-insurance-program-hospital-inpatient. 
• Data quality: While CDC reviews reported data for completeness and errors and corrects those found, some reporting errors might still exist within the data. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Data since December 1, 2020, have had error correction methodology applied; data prior to this date may have anomalies that are not yet resolved. Data prior to August 1, 2020, are unavailable.
• Metrics and inclusion criteria: Many hospital subtypes, including acute care and critical access hospitals, are included in the metric calculations included in this dataset. Psychiatric, rehabilitation, and religious non-medical hospital types, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are excluded from calculations. For a given metric calculation, hospitals that reported those data at least one day during a given week are included.
• Find full details on NHSN Hospital Respiratory Data (HRD) reporting guidance, including additional information on bed type definitions at https://www.cdc.gov/nhsn/psc/hospital-respiratory-reporting.html.

Notes: May 10, 2024: Due to missing hospital data for the April 28, 2024 through May 4, 2024 reporting period, data for Commonwealth of the Northern Mariana Islands (CNMI) are not available for this period in the Weekly NHSN Hospitalization Metrics report released on May 10, 2024.

May 17, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), Minnesota (MN), and Guam (GU) for the May 5,2024 through May 11, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 1, 2024.

May 24, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), and Minnesota (MN) for the May 12, 2024 through May 18, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 24, 2024.

May 31, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Virgin Islands (VI), Massachusetts (MA), and Minnesota (MN) for the May 19, 2024 through May 25, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on May 31, 2024.

June 7, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Virgin Islands (VI), Massachusetts (MA), Guam (GU), and Minnesota (MN) for the May 26, 2024 through June 1, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 7, 2024.

June 14, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), and Minnesota (MN) for the June 2, 2024 through June 8, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 14, 2024.

June 21, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Guam (GU), Virgin Islands (VI), and Minnesota (MN) for the June 9, 2024 through June 15, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 21, 2024.

June 28, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 16, 2024 through June 22, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on June 28, 2024.

July 5, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 23, 2024 through June 29, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 5, 2024.

July 12, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), West Virginia (WV), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the June 30, 2024 through July 6, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 12, 2024.

July 19, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 7, 2024 through July 13, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 19, 2024.

July 26, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 13, 2024 through July 20, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on July 26, 2024.

August 2, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), West Virginia (WV), and Minnesota (MN) for the July 21, 2024 through July 27, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 2, 2024.

August 9, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), Guam (GU), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the July 28, 2024 through August 3, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 9, 2024.

August 16, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the August 4, 2024 through August 10, 2024 reporting period are not available for the Weekly NHSN Hospitalization Metrics report released on August 16, 2024.

August 23, 2024: Data for Commonwealth of the Northern Mariana Islands (CNMI), Massachusetts (MA), American Samoa (AS), Virgin Islands (VI), and Minnesota (MN) for the August 11, 2024 through August 17, 2024 reporting period are not available for the Weekly

Find data on health care facilities in Massachusetts that are licensed or certified by the Department of Public Health.

Morocco MA: Hospital Beds: per 1000 People data was reported at 0.900 Number in 2012. This records a decrease from the previous number of 1.100 Number for 2009. Morocco MA: Hospital Beds: per 1000 People data is updated yearly, averaging 1.106 Number from Dec 1960 (Median) to 2012, with 14 observations. The data reached an all-time high of 1.598 Number in 1960 and a record low of 0.800 Number in 2002. Morocco MA: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;

The dashboard includes COVID-19 cases, testing, and hospitalizations data. It also contains data on: city/town specific metrics; confirmed and probable cases; testing; age groups, race and ethnicity, and sex of cases; hospitalizations and deaths; hospital capacity.

This map displays the location of 75 acute care and 45 non-acute care hospitals in Massachusetts.Acute care hospitals are those licensed under MGL Chapter 111, section 51 and which contain a majority of medical-surgical, pediatric, obstetric, and maternity beds, as defined by the Massachusetts Department of Public Health (DPH). Read layer metadata.Non-acute hospitals in Massachusetts are typically identified as psychiatric, rehabilitation, and chronic care facilities, along with some non-acute specialty hospitals. Read layer metadata.Data sources: DPH, Office of Emergency Medical Services (OEMS), the Center for Health Information and Analysis (CHIA) and the state's Bureau of Hospitals.

September 2024

The Fangcang shelter hospital market, characterized by its rapid deployability and scalability, experienced significant growth during the initial phases of the COVID-19 pandemic. While precise market sizing data for the period 2019-2024 isn't provided, a reasonable estimate can be derived by considering the substantial global investment in temporary healthcare infrastructure during that time. Assuming a conservative market size of $2 billion in 2024, and a compound annual growth rate (CAGR) of 5%, the market would have reached approximately $2.1 billion by 2025. This growth is primarily driven by the increasing need for surge capacity in healthcare systems to address future pandemics, outbreaks of infectious diseases, and mass casualty events. Furthermore, the flexibility and cost-effectiveness of Fangcang hospitals compared to constructing permanent facilities make them an attractive solution for governments and healthcare organizations. The market is expected to continue growing, albeit at a moderated pace post-pandemic, as the focus shifts from emergency response to incorporating Fangcang hospital designs into broader healthcare infrastructure planning. Factors such as advancements in modular construction, improved infection control measures, and integration with telehealth technologies will contribute to market growth. However, restraining factors include the potential for overcapacity in regions where initial investment was high, the need for robust logistical planning for effective deployment, and regulatory hurdles surrounding temporary healthcare facilities. The market segmentation, beyond the geographical distribution, could also include types of construction materials used, size and capacity, and the level of technological integration. This suggests that the market, while experiencing a post-pandemic slowdown, remains robust and poised for long-term growth, albeit at a more sustainable rate than initially seen during the pandemic's peak.

306 (Number) in 2013.

Acute care hospitals are those licensed under MGL Chapter 111, section 51 and which contain a majority of medical-surgical, pediatric, obstetric, and maternity beds, as defined by the Massachusetts Department of Public Health (DPH). The features in this layer are based on database information provided to MassGIS from the DPH, Office of Emergency Medical Services (OEMS). The August 2009 update of this dataset limited the features to include only acute care hospitals (and removed other "specialty hospitals"; it replaces the layer formerly known as "Hospitals and Emergency Room Facilities." The August 2009 update kept the ER status data and also added attributes to track the status of trauma centers and teaching hospitals. OEMS defines these attributes as follows: - Emergency Rooms provide emergency service to those in need of immediate medical care in order to prevent loss of life or aggravation of physiological or psychological illness or injury.

• Trauma Center: a hospital verified by the American College of Surgeons (ACS) as a level 1, 2 or 3 adult trauma center, or a level 1 or 2 pediatric trauma center, as defined in the document ‘Resources for Optimal Care of the Injured Patient: 1999’ by the Trauma Subcommittee of the American College of Surgeons and its successors; and meets applicable Department standards for designation, or a hospital that has applied for and is in the process of verification as specified in 130.851 and meets applicable Department standards for designation.

• Teaching Status: a hospital defined according to the Medicare Payment Advisory Commission’s (MedPAC) definition of a major teaching hospital: at least 25 full time equivalent medical school residents per one hundred inpatient beds.

Health outcome summaries for four pandemic scenarios [Scenario 1: τ = 0.275; hospitalization rate = 0.4%; Scenario 2: τ = 0.3; hospitalization rate = 0.4%; Scenario 3: τ = 0.275; hospitalization rate = 1.0%; Scenario 4: τ = 0.3; hospitalization rate = 1.0%].

The global healthcare mass notification system market is experiencing robust growth, driven by increasing adoption of advanced technologies to enhance patient safety and operational efficiency. The market, estimated at $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $7.5 billion by 2033. This expansion is fueled by several key factors. Hospitals and other healthcare facilities are increasingly recognizing the critical role of reliable mass notification systems in managing emergencies, such as fires, natural disasters, and security threats. The ability to quickly disseminate crucial information to staff, patients, and visitors via diverse channels (SMS, email, phone calls, digital signage) is paramount for minimizing casualties and optimizing response times. Furthermore, stringent regulatory compliance mandates are pushing healthcare providers to adopt robust notification systems, improving overall patient care and safety. The growing prevalence of chronic diseases and an aging population further contribute to increased demand for efficient communication systems within healthcare settings. Technological advancements, including the integration of AI and IoT capabilities, are shaping the market landscape, leading to more intelligent and sophisticated notification solutions. The market is segmented by application (hospitals, clinics, nursing homes, long-term care facilities, ASCs) and system type (in-building, outdoor, distributed/hybrid), with hospitals currently holding the largest market share. However, the market faces certain challenges. High initial investment costs for system implementation and ongoing maintenance can be a barrier for some healthcare providers, particularly smaller facilities with limited budgets. The need for regular software updates and skilled personnel to manage the system can also present hurdles. Despite these restraints, the significant benefits provided by mass notification systems in enhancing safety, compliance, and operational efficiency are expected to drive market growth in the foreseeable future. Key players like Eaton, Honeywell, Siemens, AtHoc, Everbridge, and others are continuously innovating and expanding their product offerings to meet the evolving demands of the healthcare sector, fostering competition and market maturity. The geographic expansion of these systems, particularly in developing economies experiencing rapid healthcare infrastructure growth, is another key factor fueling the market expansion.

The day case surgery market is experiencing robust growth, driven by several key factors. Technological advancements in minimally invasive surgical techniques, such as laparoscopy and robotic surgery, are significantly reducing recovery times and enabling more procedures to be performed on an outpatient basis. Simultaneously, increasing demand for cost-effective healthcare solutions is pushing both patients and providers towards day case surgeries, which typically have lower overall costs compared to inpatient procedures. The preference for shorter hospital stays, quicker return to normal activities, and reduced risk of hospital-acquired infections further contributes to the market's expansion. This trend is particularly evident in high-income countries with well-developed healthcare infrastructure, where the adoption of advanced surgical technologies is prevalent. We estimate the market size in 2025 to be $150 billion, based on the prevalence of these procedures globally and extrapolation from publicly available reports on related medical markets, considering factors like procedure volume and average cost per procedure. Assuming a conservative CAGR of 7% (typical of the healthcare sector and accounting for potential market saturation in certain regions), we project continued growth over the forecast period (2025-2033). However, the market growth isn't without challenges. Regulatory hurdles related to patient safety and the need for specialized facilities equipped to handle day case surgeries can pose obstacles to expansion in some regions. Furthermore, the uneven distribution of healthcare resources across geographical areas can restrict access to these procedures in underserved communities. Despite these constraints, the long-term outlook remains positive, with the continued development of less-invasive surgical techniques and a growing emphasis on patient-centric care projected to sustain market growth. The leading players in this market, including Mayo Clinic, Massachusetts General Hospital, and others listed, are investing heavily in expanding their capacity for day case procedures, strengthening their market positions, and driving innovation within the sector. The competition is likely to increase and consolidate in the years to come.

Predicted number of hospitalizations, and percentage of total hospitalizations accounted for by each group.

Percent (%) reduction in number of symptomatic cases, given influenza transmissibility parameter equivalent to Ro of 1.65 or 1.80.

MA：病床：每1000人在12-01-2012达0.900数量，相较于12-01-2009的1.100数量有所下降。MA：病床：每1000人数据按年更新，12-01-1960至12-01-2012期间平均值为1.106数量，共14份观测结果。该数据的历史最高值出现于12-01-1960，达1.598数量，而历史最低值则出现于12-01-2002，为0.800数量。CEIC提供的MA：病床：每1000人数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的摩洛哥 – 表 MA.世界银行：卫生统计。

The goal of this survey was to assess physicians' perceptions of the impact that the 2006 Massachusetts health care reform had had on their practices and their patients. To that end, the survey interviewed physicians in Massachusetts about their views in three areas: their overall support for the legislation, their views of its effectiveness on their own practices, and their views of its effects on health care throughout the state. Information on physician characteristics collected by the survey includes gender, race, Hispanic origin, specialty, year of graduation from medical school, type of practice setting, practice ownership, number of physicians in practice, number of beds in the hospital where most patients were admitted, percent of time spent on direct patient care, percent of patients on Medicaid or uninsured, percent of patients on Medicare, percent of patients belonging to minority groups, and ZIP code.

Hospital Acquired Infections Diagnostics Market to grow from $43.1B in 2025 to $117.9B by 2035, with a CAGR of 9.6%, driven by rising surgical procedures.

Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.

This archived public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties.

The COVID-19 community levels were developed using a combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days. The COVID-19 community level was determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.

Using these data, the COVID-19 community level was classified as low, medium, or high.

COVID-19 Community Levels were used to help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.

For the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

Archived Data Notes:

This dataset was renamed from "United States COVID-19 Community Levels by County as Originally Posted" to "United States COVID-19 Community Levels by County" on March 31, 2022.

March 31, 2022: Column name for county population was changed to “county_population”. No change was made to the data points previous released.

March 31, 2022: New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate.

March 31, 2022: FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset.

March 31, 2022: Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases.

March 31, 2022: The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average).

March 31, 2022: Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior.

April 7, 2022: Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.

April 21, 2022: COVID-19 Community Level (CCL) data released for counties in Nebraska for the week of April 21, 2022 have 3 counties identified in the high category and 37 in the medium category. CDC has been working with state officials to verify the data submitted, as other data systems are not providing alerts for substantial increases in disease transmission or severity in the state.

May 26, 2022: COVID-19 Community Level (CCL) data released for McCracken County, KY for the week of May 5, 2022 have been updated to correct a data processing error. McCracken County, KY should have appeared in the low community level category during the week of May 5, 2022. This correction is reflected in this update.

May 26, 2022: COVID-19 Community Level (CCL) data released for several Florida counties for the week of May 19th, 2022, have been corrected for a data processing error. Of note, Broward, Miami-Dade, Palm Beach Counties should have appeared in the high CCL category, and Osceola County should have appeared in the medium CCL category. These corrections are reflected in this update.

May 26, 2022: COVID-19 Community Level (CCL) data released for Orange County, New York for the week of May 26, 2022 displayed an erroneous case rate of zero and a CCL category of low due to a data source error. This county should have appeared in the medium CCL category.

June 2, 2022: COVID-19 Community Level (CCL) data released for Tolland County, CT for the week of May 26, 2022 have been updated to correct a data processing error. Tolland County, CT should have appeared in the medium community level category during the week of May 26, 2022. This correction is reflected in this update.

June 9, 2022: COVID-19 Community Level (CCL) data released for Tolland County, CT for the week of May 26, 2022 have been updated to correct a misspelling. The medium community level category for Tolland County, CT on the week of May 26, 2022 was misspelled as “meduim” in the data set. This correction is reflected in this update.

June 9, 2022: COVID-19 Community Level (CCL) data released for Mississippi counties for the week of June 9, 2022 should be interpreted with caution due to a reporting cadence change over the Memorial Day holiday that resulted in artificially inflated case rates in the state.

July 7, 2022: COVID-19 Community Level (CCL) data released for Rock County, Minnesota for the week of July 7, 2022 displayed an artificially low case rate and CCL category due to a data source error. This county should have appeared in the high CCL category.

July 14, 2022: COVID-19 Community Level (CCL) data released for Massachusetts counties for the week of July 14, 2022 should be interpreted with caution due to a reporting cadence change that resulted in lower than expected case rates and CCL categories in the state.

July 28, 2022: COVID-19 Community Level (CCL) data released for all Montana counties for the week of July 21, 2022 had case rates of 0 due to a reporting issue. The case rates have been corrected in this update.

July 28, 2022: COVID-19 Community Level (CCL) data released for Alaska for all weeks prior to July 21, 2022 included non-resident cases. The case rates for the time series have been corrected in this update.

July 28, 2022: A laboratory in Nevada reported a backlog of historic COVID-19 cases. As a result, the 7-day case count and rate will be inflated in Clark County, NV for the week of July 28, 2022.

August 4, 2022: COVID-19 Community Level (CCL) data was updated on August 2, 2022 in error during performance testing. Data for the week of July 28, 2022 was changed during this update due to additional case and hospital data as a result of late reporting between July 28, 2022 and August 2, 2022. Since the purpose of this data set is to provide point-in-time views of COVID-19 Community Levels on Thursdays, any changes made to the data set during the August 2, 2022 update have been reverted in this update.

August 4, 2022: COVID-19 Community Level (CCL) data for the week of July 28, 2022 for 8 counties in Utah (Beaver County, Daggett County, Duchesne County, Garfield County, Iron County, Kane County, Uintah County, and Washington County) case data was missing due to data collection issues. CDC and its partners have resolved the issue and the correction is reflected in this update.

August 4, 2022: Due to a reporting cadence change, case rates for all Alabama counties will be lower than expected. As a result, the CCL levels published on August 4, 2022 should be interpreted with caution.

August 11, 2022: COVID-19 Community Level (CCL) data for the week of August 4, 2022 for South Carolina have been updated to correct a data collection error that resulted in incorrect case data. CDC and its partners have resolved the issue and the correction is reflected in this update.

August 18, 2022: COVID-19 Community Level (CCL) data for the week of August 11, 2022 for Connecticut have been updated to correct a data ingestion error that inflated the CT case rates. CDC, in collaboration with CT, has resolved the issue and the correction is reflected in this update.

August 25, 2022: A laboratory in Tennessee reported a backlog of historic COVID-19 cases. As a result, the 7-day case count and rate may be inflated in many counties and the CCLs published on August 25, 2022 should be interpreted with caution.

August 25, 2022: Due to a data source error, the 7-day case rate for St. Louis County, Missouri, is reported as zero in the COVID-19 Community Level data released on August 25, 2022. Therefore, the COVID-19 Community Level for this county should be interpreted with caution.

September 1, 2022: Due to a reporting issue, case rates for all Nebraska counties will include 6 days of data instead of 7 days in the COVID-19 Community Level (CCL) data released on September 1, 2022. Therefore, the CCLs for all Nebraska counties should be interpreted with caution.

September 8, 2022: Due to a data processing error, the case rate for Philadelphia County, Pennsylvania,