This chart shows the age-adjusted percentage of adults overweight or obese (BMI 25 or higher) by county. 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. To show only certain counties in the chart, enter the names of the counties in the county filter under the Filter tab. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

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.

This chart shows the percentage of children 2 to 4 years of age that are obese (95th percentile or higher) by county. 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. To show only certain counties in the chart, enter the names of the counties in the county filter under the Filter tab. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This map shows the total emergency department visit rate per 10,000 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower emergency department visit rates. The darker shaded counties have higher emergency department visit rates. 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 if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

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/.

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.

This map shows the percentage of labor force unemployed by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower percentage of labor force unemployed. The darker shaded counties have a higher percentage of labor force unemployed. 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 if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This chart shows the percentage of pregnant women in the WIC program who were pre-pregancy overweight, but not obese (BMI 25 to less than 30) by county. 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. To show only certain counties in the chart, enter the names of the counties in the county filter under the Filter tab. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset..

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

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.

Behavioral Risk Factor Surveillance System (BRFSS) sample data were used to generate annual percentages of non-institutionalized adult (18+) NYS residents with/without health insurance coverage. Health care coverage percentages are provided for 2007 to 2010, and are available for a range of demographic and geographic categories (New York City/Rest of State; Sex; Race/Ethnicity; Age; Education; Income; Limitation Status; Employment Status; Mental Health Status).
BRFSS is a random digit dialing (RDD) phone survey of the health status and health behaviors of adult NYS residents. The sample covers between 6,000 and 9,000 completed interviews annually through this timeframe.
Data for 2011 forward are available at: https://health.data.ny.gov/Health/Health-Care-Coverage-Status-BRFSS-Beginning-2011/g5ce-hdeb

Behavioral Risk Factor Surveillance System (BRFSS) sample data were used to generate annual percentages of non-institutionalized adult (18+) NYS residents with/without health insurance coverage. Health care coverage percentages are provided for 2011 forward, and are available for a range of demographic and geographic categories (New York City/Rest of State; DSRIP Region; Sex; Race/Ethnicity; Age; Education; Income; Limitation Status (through 2017); Disability Status (beginning in 2016); Employment Status; and Mental Health Status).
BRFSS is a random digit dialing (RDD) phone survey of the health status and health behaviors of adult NYS residents. The sample covers between 6,800 and 36,000 completed interviews annually through this timeframe.

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.

This chart shows the overall risk adjusted rate per 100,000 for Medicaid prevention quality indicators for pediatric discharges by county and year.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.

The rates were calculated using Medicaid inpatient hospital data for the numerator and Medicaid enrollment in the county or zip code for the denominator.

The observed counts and rates, expected counts and rates, risk-adjusted rates and the difference between the number of observed and expected PDI hospitalizations for each AHRQ PDI are presented by either resident county (including a statewide total) or resident zip code (including a statewide total). For more information, check out: http://www.health.ny.gov/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.

This dataset includes eligibility criteria for participation in the Special Supplemental Nutrition Program for Women, Infants and Children (WIC). 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. To be eligible to receive WIC benefits, specific eligibility requirements must be met, including categorical, residential, income, and nutritional risk criteria.

The point map shows the Central Line - Associated Blood Stream Infection (CLABSI) overall standardized infection ratio (SIR) reported for acute care hospitals. The SIR summarizes performance across different types of intensive care units and wards. The color of the points represent whether the infection ratio is significantly higher, significantly lower, or the same as the NYS average (SIR=1) for the same year. The infection ratio for some acute care hospitals cannot be compared to the NYS average infection ratio because there were less than 50 central line days. All acute care hospitals are required to report certain hospital-acquired infections (HAIs) to the New York State Department of Health (NYSDOH). This includes central line-associated blood stream infections in intensive care units; surgical site infections following colon, hip replacement/revision, hysterectomy, and coronary artery bypass graft; and Clostridium difficile infections. PLEASE NOTE: Because of the complicated nature of the risk-adjustment methodology used to produce the HAI rates, the advice of a statistician is recommended before attempting to manipulate the data. Hospital-specific risk-adjusted rates cannot simply be combined. In addition, due to NYSDOH validation audits which may involve data from both the current and previous calendar year, a revised data file will be published the year after the original data file was released. For more information, check out http://www.health.ny.gov/statistics/facilities/hospital/hospital_acquired_infections/. The "About" tab contains additional details concerning this dataset.

This is a graph of the iodine-131 concentration in air at a monitoring station adjacent to the Indian Point Energy Center. The increase in iodine-131 concentration during March and April 2011 is due to the Fukushima accident. A column has been added for values which can be graphed. Readings where a less than value is displayed show a value that is less than the detection limit of the measurement method and are essentially equivalent to 0. Variations in detection limit are due to variations in sample collection and measurement instrument performance. For more information please visit http://www.nyhealth.gov/radiation. The "About" tab contains additional details concerning this dataset.

This chart shows the asthma emergency department visit rate per 10,000 for the most recent year by county. It also shows the 2017 objective. This chart is based is one of three datasets related to the Prevention Agenda Tracking Indicators county level data posted on this site. Each dataset consists of county level data for 68 health tracking indicators and sub-indicators for the Prevention Agenda 2013-2017: 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. Each dataset includes tracking indicators for the five Priority Areas of the Prevention Agenda 2013-2017. 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 2017 state targets for the indicators. Sub-indicators are included in these datasets to measure health disparities among socioeconomic groups. For more information, check out: http://www.health.ny.gov/prevention/prevention_agenda/2013-2017/. The "About" tab contains additional details concerning this dataset.

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/.

This line chart compares the median cost vs. median charge for septicemia and disseminated Infections with a major severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

The chart shows risk adjusted Potentially Preventable Readmission rates by hospital for Medicaid enrollees beginning in 2011.
The Potentially Preventable Readmission (PPR) software created by 3M Health Information Systems, identifies hospital admissions clinically related to an initial admission within a specified time period. For this dataset, readmissions were evaluated within a 30-day time period from the discharge date of the initial hospital admission. A PPR may have resulted from a deficiency in the process of care and treatment at the initial hospitalization or lack of post discharge follow up. PPRs are not defined by unrelated events that occur post-discharge, such as admissions for trauma.
For each hospital, the total number of at risk admissions, the total number of observed PPR chains, the observed PPR rate, the expected PPR rate, and risk adjusted PPR rate are presented by year. For more information, check out http://www.health.ny.gov/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.

This chart shows the age-adjusted heart attack hospitalization rate per 10,000 for the most recent data year by county. It also shows the 2017 objective. This chart is based on one of three datasets related to the Prevention Agenda Tracking Indicators county level data posted on this site. Each dataset consists of county level data for 68 health tracking indicators and sub-indicators for the Prevention Agenda 2013-2017: 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. Each dataset includes tracking indicators for the five Priority Areas of the Prevention Agenda 2013-2017. 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 2017 state targets for the indicators. Sub-indicators are included in these datasets to measure health disparities among socioeconomic groups. For more information, check out: http://www.health.ny.gov/prevention/prevention_agenda/2013-2017/ and https://www.health.ny.gov/PreventionAgendaDashboard. The "About" tab contains additional details concerning this dataset.

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.

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.

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.