New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data tables are provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State.

This dataset includes weekly counts of laboratory-confirmed influenza (flu) cases, by county and influenza type, going back to the 2009-10 season. The primary goal of this dataset is to provide users timely information about local influenza activity throughout the current influenza season. Although each influenza season is unique, historical data is also provided for trend comparison. In view of persisting elevated influenza activity throughout NYS, NYSDOH is extending the surveillance 2021-2022 season beyond May until influenza activity has decreased. In view of persisting elevated influenza activity throughout NYS, NYSDOH is extending the surveillance season beyond May until influenza activity has decreased.

Cases are included that meet the New York State Department of Health’s (NYSDOH) standardized case definition, i.e., a positive result on any of the following influenza laboratory tests:
• Rapid Influenza Diagnostic Tests (RIDT)
• Immunofluorescence assays (DFA and IFA)
• Rapid Molecular Assays
• Reverse Transcriptase Polymerase Chain Reaction (RT-PCR)
• Other Nucleic Acid Amplification tests
• Viral Culture
Please see the overview document for more details about NYSDOH’s influenza case definition. Cases reported during the CDC-defined influenza surveillance season (week 40-week 20 of the next calendar year; October through mid-May) are included. For more information see: http://www.health.ny.gov/diseases/communicable/influenza/surveillance/.

New York State's Maternity Information Law requires each hospital to provide information about its childbirth practices and procedures. This information can help you to better understand what you can expect, learn more about your childbirth choices, and plan for your baby's birth.

The dataset contains Potentially Preventable Readmission observed, expected, and risk adjusted rates by hospital for Medicaid enrollees beginning in 2011.

This dataset includes income eligibility guidelines for participation in the Special Supplemental Nutrition Program for Women, Infants and Children (WIC). The Special Supplemental Nutrition Program for Women, Infants and Children (WIC) offers nutrition education, breastfeeding support, referrals and a variety of nutritious foods to low-income pregnant, breastfeeding, or postpartum women, infants, and children up to age five to promote and support good health.

The dataset contains Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for Medicaid beneficiaries by patient county beginning in 2011. The Potentially Preventable Visits (PPV) obtained from software created by 3M Health Information Systems are emergency visits that may result from a lack of adequate access to care or ambulatory care coordination. These ambulatory sensitive conditions could be reduced or eliminated with adequate patient monitoring and follow up.

This table displays the quintile cut points for the measures in the NHQI. Please refer to the data dictionary for more information on determining quintile assignments based on the quintile cut points for specific measures. It is possible to calculate the quintile cut points displayed in this table by using the facility-level data in the NHQI data set. Calculating the overall score quintiles from the data set will result in a slight difference in the quintile values due to adjustments to some facilities’ performances. The New York State Nursing Home Quality Initiative (NHQI) is an annual evaluation and ranking of eligible Medicaid-certified nursing homes in New York State. Nursing homes are evaluated on their performance in three components: Quality, Compliance, and Efficiency. Nursing homes are awarded points for their performance in each measure and ranked into overall quintiles, the first quintile containing the best performing homes. Refer to the Measures document to learn more about the specific measures in the NHQI, and the data sources and time frames used. Changes in measure specifications and the deletion or addition of measures will limit the ability to trend this data over time. The quality measures are based on past data and may not accurately reflect a nursing home’s most current quality performance. Refer to the Overview document for more information on the limitations of this dataset. The information in this dataset is intended to be used in conjunction with other sources for assessing quality of care in nursing homes, including in-person visits to a nursing home. The "About" tab contains additional details concerning this dataset.

This dataset contains monthly snapshots of the number of enrollments by population in the New York State Donate Life Registry beginning from 2008. The registry is a confidential database that records a person’s consent to organ/tissue donation upon death. The database is used by donation professionals to determine a person's donation status at the time of their death.

This dataset contains information on selected chronic health conditions in the Medicaid population at the county level. The chronic health conditions were identified through 3M Clinical Risk Group software and Medicaid enrollment/eligibility, encounter, claim and pharmacy data over a 12-month period.

This dataset contains the results of the annual report of influenza vaccination rates among healthcare personnel (HCP) with patient contact at healthcare facilities and agencies in New York State. New York Codes, Rules and Regulations, Title 10, Section 2.59 (10 NYCRR Section 2.59). 10 NYCRR Section 2.59 requires any Article 28, 36, or 40 healthcare facility or agency to document the number and percentage of personnel vaccinated against influenza for the current season and report these data to the New York State Department of Health.

The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide telephone surveillance system designed by the Centers for Disease Control and Prevention (CDC). BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. New York State's BRFSS sample represents the non-institutionalized adult household population, aged 18 years and older.

Although the overall number of respondents in the BRFSS is more than sufficiently large for statistical inference purposes, subgroup analyses can lead to estimates that are unreliable. Interpreting and reporting weighted numbers that are based on a small, unweighted number of respondents can mislead the reader into believing that a given finding is much more precise than it actually is. The BRFSS follows a rule of not reporting or interpreting percentages based upon a denominator of fewer than 50 respondents (unweighted sample). Both a csv and sas data files are available.

For more information, check out http://www.health.ny.gov/statistics/brfss/.

The datasets contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for all payer beneficiaries by patient county and patient zip code beginning in 2011. The Potentially Preventable Visits (PPV), obtained from software created by 3M Health Information Systems, are emergency visits that may result from a lack of adequate access to care or ambulatory care coordination. These ambulatory sensitive conditions could be reduced or eliminated with adequate patient monitoring and follow up.

The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide telephone surveillance system designed by the Centers for Disease Control and Prevention (CDC). BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. New York State's BRFSS sample represents the non-institutionalized adult household population, aged 18 years and older.

Although the overall number of respondents in the BRFSS is more than sufficiently large for statistical inference purposes, subgroup analyses can lead to estimates that are unreliable. Interpreting and reporting weighted numbers that are based on a small, unweighted number of respondents can mislead the reader into believing that a given finding is much more precise than it actually is. The BRFSS follows a rule of not reporting or interpreting percentages based upon a denominator of fewer than 50 respondents (unweighted sample). Both a csv and sas data files are available.

For more information, check out http://www.health.ny.gov/statistics/brfss/.

The datasets contain number of Medicaid PDI hospitalizations (numerator), county or zip Medicaid population (denominator), observed rate, expected number of hospitalizations and rate, and risk-adjusted rate for Agency for Healthcare Research and Quality Pediatric Quality Indicators – Pediatric (AHRQ PDI) for Medicaid enrollees beginning in 2011. The Agency for Healthcare Research and Quality (AHRQ) Pediatric Quality Indicators (PDIs) are a set of population based measures that can be used with hospital inpatient discharge data to identify ambulatory care sensitive conditions. These are conditions where 1) the need for hospitalization is potentially preventable with appropriate outpatient care, or 2) conditions that could be less severe if treated early and appropriately. Both the Urinary Tract Infection and Gastroenteritis PDIs include admissions for patients aged 3 months through 17 years. The asthma PDI includes admissions for patients aged 2 through 17 years. Eligible admissions for the Diabetes Short-term Complications PDI includes admissions for patients aged 6 through 17 years.

This subset of the community health indicator report data will not be updated. A dataset containing all of the community health indicators is now available. To view the latest community health obesity and diabetes related indicators, see the featured content section. This Obesity and Diabetes Related Indicators dataset provides a subset of data (40 indicators) for the two topics: Obesity and Diabetes. The dataset includes percentage or rate for Cirrhosis/Diabetes and Obesity and Related Indicators, where available, for all counties, regions and state.
New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and annually updated to provide data for over 300 health indicators, organized by 15 health topic and data for all counties, regions and state are presented in table format with links to trend graphs and maps.
Most recent county and state level data are provided. Multiple year combined data offers stable estimates for the burden and risk factors for these two health topics.

The Youth Tobacco Survey (YTS) was developed by the Centers for Disease Control and Prevention (CDC) in collaboration with U.S. states to provide trend surveillance in youth tobacco use, access, and perceptions. The New York State Department of Health has conducted this survey biennially since 2000 in order to monitor trends related to the objectives of the Bureau of Tobacco Control and to evaluate the aggregate effects of various interventions.

This filtered view of the dataset is a list of the county health departments that were granted funds to implement the Healthy Neighborhoods Program (HNP) during each of three funding cycles (2006-2009, 2009-2014, and 2014-2019). The list of county health departments differs across funding cycles. For example, Albany County received funding from 2006-2014, whereas Clinton County has received funding continuously since 2006. It is important to be aware of the funding history for each county when looking at trends in housing demographics and conditions. The "About" tab contains additional details concerning this dataset.

This data set contains information on selected chronic health conditions in the Medicaid population at the zip code level. The chronic health conditions were identified through 3M Clinical Risk Group software and Medicaid enrollment/eligibility, encounter, claim and pharmacy data over a 12-month period.

The dataset provides training information extracted from Home Care Registry (HCR) application. HCR is a web-based registry of all personal care and home health aides who have successfully completed a personal care or home health aide training program approved by either the New York State Department of Health (NYSDOH) or the New York State Education Department (NYSED). This registry is the central repository of the individuals who have successfully completed State-approved education or training programs for Home Health Aides and Personal Care Aides. The Training Programs are the sources for most of the training information available in HCR. This dataset is refreshed on monthly basis.

There are two datasets related to the County Level Prevention Agenda Tracking Indicators posted on this site. Each dataset consists of county level data for 70 health tracking indicators and sub-indicators for the Prevention Agenda 2019-2024: New York State’s Health Improvement Plan. A health tracking indicator is a metric through which progress on a certain area of health improvement can be assessed. The indicators are organized by the Priority Area of the Prevention Agenda as well as the Focus Area under each Priority Area. The data sets also include indicators about major cross-cutting health outcomes and about health disparities. Each dataset includes tracking indicators for the five Priority Areas of the Prevention Agenda 2019-2024. The most recent year dataset includes the most recent county level data for all indicators. The trend dataset includes the most recent county level data and historical data, where available. Each dataset also includes the Prevention Agenda 2024 state objectives for the indicators. Sub-indicators are included in these datasets to measure health disparities among socioeconomic groups.

The dataset contains Potentially Preventable Readmission observed, expected, and risk adjusted rates by hospital for all payer beneficiaries beginning in 2009.

The NYS Healthy Neighborhoods Program (HNP) is a healthy homes program that seeks to reduce the burden of housing-related illness and injury. The dataset includes information about building characteristics, primary respondent demographics and the presence/absence of 34 specific housing conditions for dwellings visited by each county program.

The dataset contains hospital stroke designation and Coverdell registry participation status, acute stroke discharges counts (numerators, denominators), observed, expected and risk-adjusted acute stroke in-hospital/30-day post admission mortality rates with corresponding 95% confidence intervals. Mortality rates risk adjustment was based on the methodology developed by the New York State Department of Health.

The purpose of this data set is reporting of hospital-specific risk adjusted acute stroke mortality rates (RAMR) to inform hospitals, to aid initiatives to improve hospital quality performance and measurement, and to identify performance outliers for public reporting.

The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide telephone surveillance system designed by the Centers for Disease Control and Prevention (CDC). BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. New York State's BRFSS sample represents the non-institutionalized adult household population, aged 18 years and older. Although the overall number of respondents in the BRFSS is more than sufficiently large for statistical inference purposes, subgroup analyses can lead to estimates that are unreliable. Interpreting and reporting weighted numbers that are based on a small, unweighted number of respondents can mislead the reader into believing that a given finding is much more precise than it actually is. The BRFSS follows a rule of not reporting or interpreting percentages based upon a denominator of fewer than 50 respondents (unweighted sample). Both a csv and sas data files are available. For more information, check out http://www.health.ny.gov/statistics/brfss/.

Note: Data elements were retired from HERDS on 10/6/23 and this dataset was archived.

This dataset includes the cumulative number and percent of healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease by reporting date and patient sex. This dataset does not include fatalities related to COVID-19 disease that did not occur at a hospital, nursing home, or adult care facility. The primary goal of publishing this dataset is to provide users with information about healthcare facility fatalities among patients with lab-confirmed COVID-19 disease.

The information in this dataset is also updated daily on the NYS COVID-19 Tracker at https://www.ny.gov/covid-19tracker.

The data source for this dataset is the daily COVID-19 survey through the New York State Department of Health (NYSDOH) Health Electronic Response Data System (HERDS). Hospitals, nursing homes, and adult care facilities are required to complete this survey daily. The information from the survey is used for statewide surveillance, planning, resource allocation, and emergency response activities. Hospitals began reporting for the HERDS COVID-19 survey in March 2020, while Nursing Homes and Adult Care Facilities began reporting in April 2020. It is important to note that fatalities related to COVID-19 disease that occurred prior to the first publication dates are also included.

The fatality numbers in this dataset are calculated by summing the patient fatalities by patient sex, as of each reporting date. The statewide total fatality numbers are calculated by summing the number of fatalities across all patient sexes, by reporting date. The fatality percentages are calculated by dividing the number of fatalities in each patient sex by the statewide total number of fatalities, by reporting date. The fatality numbers represent the cumulative number of fatalities that have been reported as of each reporting date.