This map shows the unintentional injury hospitalization rate per 10,000 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower unintentional injury hospitalization rates. The darker shaded counties have higher unintentional injury hospitalization 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.

This chart shows the percentage of pregnant women in WIC who were pre-pregnancy obese (BMI 30 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 percentage of pregnant women in WIC who were pre-pregnancy obese with a BMI 30 or higher by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower percentages of pregnant women in WIC who were pre-pregnancy obese. The darker shaded counties have higher percentages of pregnant women in WIC who were pre-pregnancy obese. 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 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.

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.

This map shows the work related hospitlization rate per 100,000 employed individuals age 16 and over by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower work related hospitalization rates. The darker shaded counties have higher work related hospitalization 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.

This line chart shows the observed vs. expected Potentially Preventable Complication (PPC) rates for all payer beneficiaries by hospital.

The chart is based on a dataset that contains Potentially Preventable Complications (PPC) observed, expected, and risk-adjusted rates for all payer beneficiaries by hospital beginning in 2009. The Potentially Preventable Complications (PPC), obtained from
software created by 3M Health Information Systems, are
harmful events or negative outcomes that develop after hospital
admission and may result from processes of care and treatment
rather than from natural progression of the underlying illness
and are therefore potentially preventable.
The rates were calculated using Statewide Planning and
Research Cooperative System (SPARCS) inpatient data.
The observed, expected and risk adjusted rates for PPC are
presented by hospital (including a statewide total).

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

This map shows the percentage of Medicaid enrollees with at least one dental visitin within the last year by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a higher percentage of Medicaid enrolees with at least one dental visit within the last year. The darker shaded counties have a lower percentage of Medicaid enrolees with at least one dental visit within the last year.This dataset contains the latest Community Health Indicator Report (CHRIS) data. 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..

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 chart shows the number of laboratory confirmed cases of influenza reported to NYSDOH by week and season. The chart includes clinical laboratory confirmed cases of influenza that meet the New York State Department of Health’s (NYS DOH) case definition of a positive result on any of the following influenza laboratory tests: Rapid antigen detection test (RAT), Viral culture, Reverse transcriptase polymerase chain reaction (RT-PCR) test, Direct immunofluorescence antibody staining (DFA) test, and Indirect immunofluorescence antibody staining (IFA) test.
Please see the overview document in the “About” section for more details about NYS DOH’s influenza case definition. The cases are reported weekly during the influenza season, which runs from October through May. For more information check out: http://www.health.ny.gov/diseases/communicable/influenza/surveillance/. The "About" tab contains additional details concerning this dataset.

The charts shows risk adjusted rates of Potentially Preventable Readmissions by hospital for all payers beginning in 2009.
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/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

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.

This chart shows the trend in the percentage of NY residents age 18 and over without health care coverage by gender from 2007 to 2010. 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 forward, and are available for a range of demographic groups (New York City/Rest of State; Sex; Race/Ethnicity; Age; Education; Income; Disability 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. For more information, check out: http://www.health.ny.gov/statistics/brfss/. The "About" tab contains additional details concerning this dataset.

This chart shows the trend in health care coverage status among NY residents from 2007 to 2010. 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 forward, and are available for a range of demographic groups (New York City/Rest of State; Sex; Race/Ethnicity; Age; Education; Income; Disability 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. The "About" tab contains additional details concerning this dataset.

This chart shows the trend in health care coverage status among NY residents age 18 and over by gender from 2007 to 2010. 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 forward, and are available for a range of demographic groups (New York City/Rest of State; Sex; Race/Ethnicity; Age; Education; Income; Disability 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. For more information, check out: http://www.health.ny.gov/statistics/brfss/. The "About" tab contains additional details concerning this dataset.

This chart shows the trend in the percentage of NY residents over 18 with health care coverage by gender from 2007 to 2010. 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 forward, and are available for a range of demographic groups (New York City/Rest of State; Sex; Race/Ethnicity; Age; Education; Income; Disability 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. For more information, check out: http://www.health.ny.gov/statistics/brfss/. 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/.

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.

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 rates were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient and outpatient data and Claritas population information.

The observed, expected and risk adjusted rates for PPV are presented by either resident county (including a statewide total) or resident zip code (including a statewide total).

Note: This dataset will be decommissioned and replaced by another in December 2018. A link to the new dataset will be provided once available.This dataset includes clinical laboratory confirmed cases of influenza that meet the New York State Department of Health’s (NYS DOH) case definition of a positive result on any of the following influenza laboratory tests: rapid antigen detection test (RAT), viral culture, reverse transcriptase polymerase chain reaction (RT-PCR) test, direct immunofluorescence antibody staining (DFA) test, and indirect immunofluorescence antibody staining (IFA) test.

The dataset shows Potentially Preventable Complication (PPC) measures for the 36 major PPCs combined; providing observed, expected, and risk-adjusted rates and counts for all payer discharges by hospital and statewide, beginning in 2013.

Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are defined as harmful events or negative outcomes that develop or occur during hospitalization and may result from processes of care and treatment rather than from natural progression of the underlying illness.

The PPCs were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data.

This dataset includes the names, locations, and contact information for sites across NYS where WIC services are delivered. The data also includes the names, locations, and contact information for the agencies who oversee WIC vendors in NYS (WIC Vendor Management Agencies). 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. WIC improves the health of pregnant women, new mothers and their infants and children. The foods provided through WIC are a good source of nutrients often missing from the diets of women and young children. WIC participants have longer, healthier pregnancies and fewer premature births.