The Genealogical Research Death Index assists individuals with locating New York State (NYS) death records that fall within defined genealogy years, exclusive of New York City recorded death records. This Index contains information on decedents, date of death, gender, age at death, and NYS file number that will allow the public to search for individuals on a variety of genealogy criteria if on file for at least 50 years.

New York State Baby Names are aggregated and displayed by the year, county, or borough where the mother resided as stated on a New York State or New York City (NYC) birth certificate. The frequency of the baby name is listed if there are 5 or more of the same baby name in a county outside of NYC or 10 or more of the same baby name in a NYC borough.

This map shows the overall score and quintile for each nursing home in the state. Quintiles are color coded, with green being the top (first) quintile and red being the bottom (fifth) quintile. 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.

The map shows the addresses of NYS school districts. Each school district is color coded according to the percentage of enrolled students current school year that were fully immunized. A flyout with specific information about a school district will appear when you hover over a point on the map. The School Immunization Survey collects aggregate data from schools in New York State regarding the immunization status of all the students attending school.
All schools, excluding New York City public schools, have reported the immunization status of all students in grades kindergarten through 12. When a school submits the survey data, it is a snap shot of the immunization status of the students at the time the survey is completed.
New York City public schools report the immunization status of all students via the Automate the Schools system (ATS). The New York City Department of Health and Mental Hygiene provides the aggregate data by district to the New York State Department of Health. For more information, check out: http://www.health.ny.gov/prevention/immunization.

The map shows the addresses of all NYS schools, excluding NYC public schools. The address listed for the schools may be the physical location of the school, a school district address, or an administrative address. Each school is color coded according to the percentage of enrolled students in the current school year that were fully immunized. A flyout with specific information about a school will appear when you hover over a point on the map. More than one school may appear as a single point on the map if the school’s have the same geocoded location. In those cases, a next button will appear within the flyout. To view the immunization data for each school, click next in the flyout. The School Immunization Survey collects aggregate data from schools in New York State regarding the immunization status of all the students attending school. All schools, excluding New York City public schools, have reported the immunization status of all students in grades kindergarten through 12. When a school submits the survey data, it is a snap shot of the immunization status of the students at the time the survey is completed.
New York City public schools report the immunization status of all students via the Automate the Schools system (ATS). The New York City Department of Health and Mental Hygiene provides the aggregate data by district to the New York State Department of Health. For more information, check out: http://www.health.ny.gov/prevention/immunization. The "About" tab contains additional details concerning this dataset.

The boundary map shows radon test results by county. The test results are provided on a monthly basis to the Department of Health’s Radon Program from a contracted radon testing laboratory. The color grading of the counties represent the average radon level of homes tested in the counties.The radon test results illustrated on this map may not be reflective of all radon tests completed in New York State.

For more information, check out http://www.health.ny.gov/environmental/radiological/radon/radon.htm. The "About" tab contains additional details concerning this dataset.

This map shows the percentage of children that reside in each New York State county, 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. An elevated blood lead concentration of ≥ 10 mcg/dL is defined by the federal Centers for Disease Control and Prevention as the level requiring public health intervention. 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 "About" tab contains additional details concerning this dataset.

The New York State Department of Health Radon Program contracts with a radon testing laboratory to provide short-term charcoal radon test kits, radon test kit analysis, and results to residents. The contract laboratory provides the radon test results to the individual home owner and the Radon Program. All testing data is entered into our database. From this database, we are able to create radon prevalence maps, design special outreach activities and campaigns, and track the location in the home where the detector was placed.

This data includes the name and location of food service establishments and the violations that were found at the time of their last inspection. Although violation details are collected on inspection reports (i.e., the actual food item, quantity and temperature of food found out of temperature control) as well as corrective actions for critical violations, this data set is limited to the violation number and the corresponding general violation description. This dataset is for reporting purposes only. Any concerns about individual establishments should be referred to the corresponding Local Health Department. Contact information can be found at http://www.health.ny.gov/environmental/water/drinking/doh_pub_contacts_map.htm

The point map shows violations found during the last inspection of the food service establishments. The initial view of the map is broken up into large geographic areas and displays the number of violations in each area. To drill down to a smaller geographic area, click directly on the area of the map or click the plus sign to zoom in on the map. The map can be filtered by facility, city, and county by changing these options under the Filter tab. Last inspection data is the most recently submitted and available data. Although violation details are collected on inspection reports (i.e., the actual food item, quantity and temperature of food found out of temperature control) as well as corrective actions for critical violations, this data set is limited to the violation number and the corresponding general violation description. Requests for more detailed information or actual copies of inspection reports should be directed to the local health department or State District Office which conducted the inspections in question. This map is for reporting purposes only. Any concerns about individual establishments should be referred to the corresponding Local Health Department. Contact information can be found at http://www.health.ny.gov/environmental/water/drinking/doh_pub_contacts_map.htm

This map excludes inspections conducted in New York City (https://nycopendata.socrata.com/), Suffolk County
(http://apps.suffolkcountyny.gov/health/Restaurant/intro.html) and Erie County (http://www.healthspace.com/erieny). Inspections are a snapshot in time and are not always reflective of the day-to-day operations and overall condition of an establishment. This map is currently updated monthly. Occasionally, remediation may not appear until the following month due to the timing of the updates. Some counties provide this information on their own websites and information found there may be more frequently updated.

For more information, please see: https://regs.health.ny.gov/volume-title-10/1997429580/subpart-14-1-food-service-establishments

This line chart compares the median cost vs. median charge for cellulitis & other bacterial skin Infections with a moderate 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.

This line chart compares the median cost vs. median charge for major depressive disorders & other unspecified psychoses with a moderate 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.

This line chart compares the median cost vs. median charge for chest pain with a minor 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.

This line chart compares the median costs vs. median charges for renal failure 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.

This line chart compares the median cost vs. median charge for normal newborn or neonate w other problem with minor 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 Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under 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.

This dataset is a compilation of easy tips to prevent type 2 diabetes. They were compiled from several documents produced by the National Diabetes Education Program (NDEP). NDEP is a partnership of the National Institutes of Health, the Centers for Disease Control and Prevention, and more than 200 public and private organizations.

This line chart compares the median cost vs. median charge for cesarean deliveries with a minor 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..

This line chart compares the median cost vs. median charge for chronic obstructive pulmonary disease with a moderate 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/.

This line chart compares the median costs vs. median charges for schizophrenia with a moderate 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.

This line chart compares the median cost vs. median charge for other pneumonia with a minor 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.

This line chart compares the median cost vs. median charge for vaginal deliveries with a minor 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.

This line chart compares the median cost vs. median charge for bipolar disorders with a moderate 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.

This line chart compares the median cost vs. median charge for heart failure with a moderate 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 Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under 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.