This dataset contains death counts by resident county and race/ethnicity. For more information check out: http://www.health.ny.gov/statistics/vital_statistics.

The point map shows the county in which the federally authorized Organ Procurement Organizations (OPOs), as well as, NYS regulated Eye Banks and Tissue Banks. These organizations work closely with the Department of Health (DOH) to educate the public regarding the need for organ and tissue donation and to facilitate the enrollment of individuals in the New York State Donate Life Organ and Tissue Donor Registry. Flyouts will display specific data about the OPOs and eye and tissue banks for the county selected. To view information about another eye bank or tissue bank in the county, click the next link in the flyout. The data is provided by individual OPO, eye bank and tissue bank. The contact information and service areas provided in this dataset are subject to change without DOH’s knowledge since the data is provided by independent OPOs, Eye Banks and Tissue Banks. For more information about the registry, please visit: http://www.health.ny.gov/professionals/patients/donation/organ/. The "About" tab contains additional details concerning this dataset.

The New York State Department of Health (NYSDOH) collects annual data on children’s and adults’ use of health services. This information complements the quality of care and member satisfaction information collected through an annual public reporting system called the Quality Assurance Reporting Requirements (QARR). Utilization measures are designed to capture the frequency of certain services provided by health plans. NCQA does not view higher or lower services counts as better or worse performance. Plans with fewer than 30 eligible events are excluded from the statistical calculations of the percentiles.

This trend chart shows the statewide, NYC, and NYS excluding NYC percentage of WIC mothers breastfeeding for a at least six months. 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 trend data table presents data for close to 300 health indicators and are provided for all 62 counties, for New York State, for New York City, and Rest of State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, charges, and costs. This data contains basic record level detail regarding the discharge; however the data does not contain protected health information (PHI) under Health Insurance Portability and Accountability Act (HIPAA). The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.

Effective January 16, 2013, regulations found at Section 486.7 of Part 486 and Part 487 of Title 18 of the Official Compilation of Codes, Rules and Regulations of the State of New York (NYCRR), were amended and adopted. Pursuant to § 487.13 (1), a transitional adult home is an adult home with a certified bed capacity of 80 beds or more in which 25 percent or more of the resident population are persons with serious mental illness as defined in subsection 487.2(c) of this Part.

This chart shows the trend in the percentage of births with late/not prenatal care by the mother's age for New York State. Late prenatal care is defined as prenatal care during the third trimester of the pregnancy. The data presented here may not be the same as the Vital Statistics tables on the DOH public web due to data updates. For more information, check out:
: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

This dataset measures the air and water near Knolls Atomic Power Lab and other locations (background) around NYS to determine the normal levels of radioactivity and monitors the influence of human activities on these levels. The site numbers represent the location from which samples are collected. This dataset is not designed, or intended to monitor releases from discharge points at a specific facility (e.g., a stack). The facility operator performs this type of monitoring to meet the requirements of its licensing agency (e.g., a federal agency or the New York State Department of Environmental Conservation). 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.

This column chart illustrates the rates of emergency room visits and total inpatient dischargers by Health Home. The New York State Department of Health (NYSDOH) collects annual data on children’s and adults’ use of health services. This information complements the Health Home Quality Measures information collected for the State Plan Amendment (SPA) and Core Set of health care quality measures. Utilization measures are designed to capture the frequency of certain services. NCQA does not view higher or lower services counts as better or worse performance. Please refer to the Overview document for additional information.

This dataset provides the results from collecting and testing nymph deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. Collection and testing take place across New York State (excluding New York City) from May to September, when nymph deer ticks are most commonly seen.

Nymph deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

These data only provide nymph tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.

Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

This dataset contains an annual summary of the number of infants receiving a dose of hepatitis B vaccine within 3 days of birth at hospitals around the state. The data is extracted from the New York Statewide Perinatal Data System and includes only live birth infants weighing at least 2,000 grams at birth.

Population data file is provided as an additional reference file when interpreting vital statistics death rates. The population data is derived from the corresponding release of the NCHS annual estimates of "Bridged Race Vintage" which are consistent with the Bureau of the Census estimates from "Vintage" (released in the summer). For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

Daily count of NYC residents who tested positive for SARS-CoV-2, who were hospitalized with COVID-19, and deaths among COVID-19 patients.

Note that this dataset currently pulls from https://raw.githubusercontent.com/nychealth/coronavirus-data/master/trends/data-by-day.csv on a daily basis.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.

The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).

The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.

All PSI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) PSI measures.

The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.

This quarterly report contains self-reported and unaudited demographic and bed availability information reported by Adult Care Facilities (ACFs). The regulations governing the operation of Adult Care Facilities (ACFs) – Standards for Adult Homes 487.10(e)(2), Adult Care Facilities Standards for Enriched Housing Programs 488.10(e)(4), and Standards for Residences for Adults 490.10(e)(4) – require each operator to submit a quarterly statistical information report.

Public access to the ACF census is solely intended to allow for a convenient and immediate means of acquiring public information on adult care facilities licensed by the Department. Available bed and census information in adult care facilities is self-reported and is not audited by the Department. While all attempts are made to provide accurate, current, and reliable information, the Department recognizes the possibility of human and/or mechanical error and that information captured at a point in time often becomes obsolete. Therefore, the Department, its employees, officers, and agents make no representation, warranty, or guarantee as to the accuracy, completeness, currency, or suitability of the information provided here. Information is self-reported and is not audited by the Department. This data does not reflect the quality of services provided by any specific provider. Please note, “Redacted” information (R) contained in the census is removed in order to protect individually identifiable information and stay within the HIPAA guidelines and information noted as “Not Available” (N/A) is census information that was not requested at the time of the reporting period.

The dataset contains observed, expected, and risk-adjusted rates for the Agency for Healthcare Research and Quality Pediatric Quality Indicators – Pediatric (AHRQ PDI) beginning in 2009. The AHRQ 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 Statewide Planning and Research Cooperative System (SPARCS) inpatient data and Claritas population information.

The observed, expected, risk-adjusted rates, and difference in rates, for each AHRQ PDI are presented by resident zip code (including a statewide total).

This dataset measures the air, water, milk, fish, sediment, and fruit/veg near Ginna Station and other locations(background) around NYS to determine the normal levels of radioactivity and monitors the influence of human activities on these levels. The site numbers represent the location from which samples are collected. This dataset is not designed, or intended to monitor releases from discharge points at a specific facility (e.g., a stack). The facility operator performs this type of monitoring to meet the requirements of its licensing agency (e.g., a federal agency or the New York State Department of Environmental Conservation). 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.

This dataset contains the number of cases, number of in hospital/30 day deaths, observed, expected and risk- adjusted mortality rates for Percutaneous Coronary Interventions (PCI) by cardiologist. Physician information is presented for each physician who a) performed 200 or more procedures during the three year analysis and/or b) performed at least one PCI in each of the three years. The results for physicians not meeting the above criteria are grouped together and reported as “All others” in the hospital in which the procedures are performed. Regions represent where the hospitals are located. The initial Health Data NY dataset includes patients discharged between January 1, 2008, and December 31, 2010. Analyses of risk-adjusted mortality rates and associated risk factors are provided for the three-year period from 2008 through 2010. Analyses of all cases and non-emergency cases (which represent the majority of procedures) are included. Subsequent year reports data will be appended to this dataset.

This filtered view is based on the Health Facility Certification Information dataset and is limited to Diagnostic and Treatment Centers with type Ambulatory Surgery - Multispecialty and Renal Dialysis - Chronic.

This dataset provides the results from collecting and testing adult deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen.

Adult deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

These data only provide adult tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.

Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

This is a graph of the gross beta concentration in water at Frank's Creek near the West Valley Demonstration Project Site. 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 check out: http://www.health.ny.gov/environmental/radiological/radon/surveillance.htm. The "About" tab contains additional details concerning this dataset..

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.

The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.

This dataset contains the number of New York State live births stratified by county of residence and gestation in weeks. The data presented here may not be the same as the Vital Statistics tables on the DOH public web due to data updates. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.

The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.