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 dataset contains the number of New York State live births stratified by the month prenatal care began and mother’s county or residence. 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 go to: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

Note: This annual report is no longer updated. Beginning with the 1st QSIR 2017, these reports will be updated quarterly only. Please see the link in the featured content. The Department of Health (NYSDOH) requires adult care facilities (ACFs) to complete an electronic filing of each facility's licensed adult home and enriched housing program bed census on an annual basis. These facilities include adult homes (AHs), enriched housing programs (EHPs), assisted living programs (ALPs), assisted living residences (ALRs), special needs assisted living residences (SNALR), and enhanced assisted living residences (EALR). Available bed and occupancy information in ACFs is self-reported and is not audited by NYSDOH. This dataset is refreshed on a annual basis. For more information, check out http://www.health.ny.gov/facilities/adult_care/.

This dataset contains the number of New York State live births stratified by primary financial coverage and county of residence. The data presented here may not be the same as the Vital Statistics table on the DOH public web due to data updates. For more information, go to: http://www.health.nygov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

This dataset contains the number of New York State live births stratified by county of residence and method of delivery. 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 includes the name and location of active mobile home parks operating in New York State. Active mobile home parks include only parks that were categorized as active (i.e., operating with accommodations for the placement of five or more mobile or manufactured homes) on the date the data was downloaded from a Department of Health database. This data also includes the date of the last inspection and violations of Part 17 of the New York State Code of Rules and Regulations that were identified during that inspection. Additionally, the data includes the park owner-operator, the number of sites within the park, the type of on-site water source and sewage disposal system serving the mobile home park, and whether a pool or beach is operated as part of the mobile home park. The location of the mobile home park includes its street address, city, state, zip code, municipality, and county.

The dataset contains the number of Medicaid Low Birth Weight newborns (numerator), the number of zip code Medicaid newborns (denominator), and observed rate for Agency for Healthcare Research and Quality Prevention Quality Indicator 9 (PQI 9) – Newborn Low Birth Weight Rate for Medicaid enrollees beginning in 2012.
The Agency for Healthcare Research and Quality (AHRQ) Prevention Quality Indicators (PQIs) 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.
The observed rate for Low Birth Weight is presented by resident zip code (including a statewide
total). The observed rate for low birth weight by resident county: code (including a statewide total) can be found here: https://health.data.ny.gov/Health/Medicaid-Inpatient-Prevention-Quality-Indicators-P/aapx-etcg. 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 information at the report date level on patients admitted for inpatient care to the hospital that are lab-confirmed COVID-19 positive. Admitted means that the patient was newly admitted to the hospital or was confirmed positive after admission. Zip Code information became available for COVID-19 admissions as of May 2, 2020. Hospitalized means patients admitted as inpatients in either inpatient or observation beds and does not include patients that were treated and released from an Emergency Department. The title of this dataset was initially the Hospital Electronic Response Data System (HERDS) Hospital Survey: COVID-19 Admissions by Zip Code. The dataset was changed to its current title on 11/4/2021.

The dataset contains the number of Medicaid Low Birth Weight newborns (numerator), the number of county Medicaid newborns (denominator), and observed rate for Agency for Healthcare Research and Quality Prevention Quality Indicator 9 (PQI 9) – Newborn Low Birth Weight Rate for Medicaid enrollees beginning in 2012.
The Agency for Healthcare Research and Quality (AHRQ) Prevention Quality Indicators (PQIs) 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.
The observed rate for Low Birth Weight is presented by resident county (including a statewide total). The observed rate for low birth weight by resident zip code (including a statewide total) can be found here: https://health.data.ny.gov/Health/Medicaid-Inpatient-Prevention-Quality-Indicators-P/vk5f-rgqm/. For more information, check out: http://www.health.ny.gov/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.

This data includes the total number of inspections performed, complaints received, and enforcement actions taken by local Tobacco Enforcement Program per measurement period. For more information, check out https://www.health.ny.gov/prevention/tobacco_control/program_components.htm. The "About" tab contains additional details concerning this dataset.

This dataset contains the number and rate of children that reside in each New York State zip code, excluding New York City, who were tested for lead and identified for the first time within the specified time period to have elevated concentrations of lead in their blood. The numbers and rate are based on birth year (birth cohort). Under current NYS Public Health Law and implementing regulations, health care providers are required to test all children for lead at or around age one year and again at or around age two years. Health care providers are also required to assess all children age six months to 72 months of age at least once annually for lead exposure, with blood lead testing for all children found to be at risk, based on those assessments. For more information, check out: http://www.health.ny.gov/environmental/lead/

The dataset contains Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for Medicaid beneficiaries by 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 Medicaid inpatient and outpatient data for the numerator and Medicaid enrollment in the county or zip code for the denominator.

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). For more information, check out: http://www.health.ny.gov/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.

The plan profile data contains information about managed care plans serving New York State residents including the number of current enrolling members and counties/regions of the state they currently serve. Customer service telephone numbers are included along with their website address. Also included are NCQA accreditation ratings. These are important things to consider when choosing a managed care plan. Data on the ratings of each plan can be found in the Managed Care Regional Consumer Guide located at, https://health.data.ny.gov/Health/Managed-Care-Regional-Consumer-Guide/44t3-4uep. The "About" tab contains additional details concerning this dataset.

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.

The Institutional Provider Network Data displays information on health facilities and ancillary service providers (for example: hospitals, labs, home care agencies) participating in health plan networks from October through December 2019. Plan network data is collected from Medicaid, Commercial, and Exchange plans on a quarterly basis by NYSoH, including managed care plans, as well as PPO/EPO plans. For more information, please visit: https://pndslookup.health.ny.gov.

List of buildings for each NYS public school and Boards of Cooperative Educational Services (BOCES) reported as being lead-free for Compliance Year 2016. Schools are not required to test lead-free buildings for lead in drinking water.
The definition of a lead-free building is any school building with internal plumbing that meets the new definition of "Lead Free," as defined in section 1417 of the Federal Safe Drinking Water Act. A building can be deemed lead-free if (1) it was built after January 4, 2014, or (2) a NYS licensed professional engineer or architect certifies the building's internal plumping is lead-free.
School districts and BOCES are required to report the presence of lead-free buildings for each compliance year to parents, the NYS Department of Health, NY State Education Department, and local health departments.
For more information see: http://www.health.ny.gov/environmental/water/drinking/lead/lead_testing_of_school_drinking_water.htm

This dataset contains the number of New York State live births stratified by mother’s age range, race/ethnicity, and the month prenatal care began. 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 WIC Vendor Listing is compiled and published to provide WIC Participants with readily identifiable locations they can use to cash their WIC Benefits. 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.

This dataset includes information on the number of tests of individuals for COVID-19 infection by zip code performed in New York State beginning March 1, 2020, when the first case of COVID-19 was identified in the state. The primary goal of publishing this dataset is to provide users timely information about local disease spread and reporting of positive cases. The data will be updated weekly, reflecting tests completed by 2:00 pm on the day prior to the date of the update.

Note: On November 14, 2020, only 14 hours of laboratory data was collected and shared. The 2:00 pm cutoff time was implemented, allowing the NYSDOH to enhance data quality reviews. All other published laboratory data represented 24 hours of data collection. Prior to November 14, 2020 data reflected tests completed by 12:00 am (midnight) the day of the update (i.e., all tests reported by the end of the day on the day before the update).

As of 4/4/22, the Department of Health and Human Services (HHS) no longer requires entities conducting COVID testing to report negative or indeterminate antigen test results. This may impact the number and interpretation of total test results reported to the state and also impacts calculation of test percent positivity. Total positives continues to include both PCR and antigen positive test results.

This dataset reports the number of reinfections in New York State since January 2021. A reinfection is when a person becomes infected with COVID and later becomes infected again. A person is considered a reinfection if they test positive again 90 days or more after their first positive test. The goal of this dataset is to provide users timely information about the trends in reinfections in New York State. This dataset is created by the New York State Department of Health from data reported to Electronica Clinical Laboratory Reporting System (ECLRS).

The individual Provider Network Data displays information on individuals participating in health plan networks. Plan network data is collected from Medicaid, Commercial, and Exchange plans on a quarterly basis by the Department of Health, including managed care plans, as well as PPO/EPO plans.

This dataset includes information on school reported COVID-19 testing and case positive data from the 2021-2022 academic year. Data was collected from private schools on each operational day using the daily school survey form, which school administrators access by logging in to the NYSDOH school survey website.

The primary goal of publishing this dataset is to provide users timely information about disease spread and reporting of positive cases within schools. The data will be updated daily, reflecting data submitted by school administrators the previous day.

This dataset includes information on the number of tests of individuals for COVID-19 infection performed in New York State beginning March 1, 2020, when the first case of COVID-19 was identified in the state. The primary goal of publishing this dataset is to provide users timely information about local disease spread and reporting of positive cases. The data will be updated weekly, reflecting tests completed by 2:00 pm on the day prior to the date of the update.

As of 4/4/22, the Department of Health and Human Services (HHS) no longer requires entities conducting COVID testing to report negative or indeterminate antigen test results. This may impact the number and interpretation of total test results reported to the state and also impacts calculation of test percent positivity. Total positives continues to include both PCR and antigen positive test results.

This dataset includes information at the report date level by individual facilities on the total number of staff, how many staff are partially vaccinated, and how many are fully vaccinated. This information is only collected once a week from hospitals. The title of this dataset was initially the Hospital Electronic Response Data System (HERDS) Hospital Survey: Hospital Staff COVID-19 Vaccinations. The dataset was changed to its current title on 11/4/2021.

The dataset shows each of the 65 individual Potentially Preventable Complication (PPC) measures, providing observed and risk-adjusted rates 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.