612 Results
Filter
Sort
Sort by Recently Updated
Filter
Tags
- 2008
- 2011
- 2011-2015
- 2012
- 2020-2021
- 2022
- 2023
- \directory
- accreditation
- adult sepsis
- affordable care act; aca
- and financial coverage
- asthma
- ats
- bdr
- behavior change
- benefits
- birth defects
- birth rate
- board actions
- cases
- cdi
- census tract
- certificate of need
- certificates issued
- cesarean
- chp. chip
- chronic obstructive pulmonary disease
- cigarettes
- citations
- clinical metrics
- clostridium difficile infection
- cmr
- community health
- complaint
- complaint investigations
- compliance checks
- con
- congenital malformations
- congenital malformations registry
- consumer guide
- cooling tower
- copd
- county level brfss
- data collection tool
- data dictionary
- diabetes prevention
- diagnostic
- doctor
- domain rating
- e-cigarette
- ebrfss
- enforcement
- enforcements
- expanded brfss
- fertility rate
- financial coverage
- fined/penalized
- fines
- gamma radiation
- gestation
- health community health indicators
- healthy lifestyle
- hha certificates
- home
- hospitals
- image
- income guidelines
- infant’s sex
- inspections
- integrity
- jc
- justice center
- justice center covered providers
- legionella
- legionnaires
- license
- licensed home care services
- licensed home care services agency
- local data
- low birthweight
- lra
- mammography
- map
- mapping
- medicaid redesign
- medical
- methodology
- mi
- midwife
- misconduct
- mobile parks
- mother’s age
- mother’s education
- multiple births
- myocardial infarction
- names
- narcotics
- notice
- nrc
- nursing
- nursing home profiles quality measures
- nymph
- nysecon
- obs
- opioid tax
- opmc
- order of birth
- other visits
- out of wedlock
- out of wedlock births
- overall rating
- overview
- overweight
- partial inspections
- pca certificates
- pediatric
- pediatric sepsis
- physician
- place of birth
- pre-pregnancy bmi
- premature births
- private practice
- professional
- profiles
- program year
- q4
- qsir
- quality safety & cost
- quarter 2
- quarter 4
- quarterly statistical information report
- race and ethnicity
- radioactive material
- registered vendor
- regulation 4-1
- residence county
- rhcf
- risk factors
- sales to minors
- sanctioned
- secondhand smoke
- specialist
- strategic iniatives
- sub-county
- suicide
- therapy
- tobacco marketing
- town
- training certificate
- transitional adult homes
- tumor
- type 2 diabetes
- vbac
- visit
- wastewater
- weight
- x-ray
- youth
- zip code
- 2009
- 2010
- 2021
- 21st century cures act
- acf
- adult care
- adult care facilities
- afterschool
- anaplasma
- anaplasmosis
- antibiotics
- atlas
- babesia
- babesiosis
- bmi
- borrelia
- burgdorferi
- cacfp
- cancer
- child care
- children’s health insurance
- chip
- complaints
- consumer guides
- creating healthy places
- day care
- decedents
- doh approved hhatp
- doh approved pcatp
- eat well play hard
- ehr
- emedny
- environmental
- ethnicity
- evidence-based self-management programs
- ewph
- eye bank
- fee-for-service
- ffs
- gazetteer
- genealogy
- health insurance; health care coverage; behavioral risk factor surveillance system; brfss; new york state; nys; affordable care act; aca; obamacare
- health plan profiles
- healthcare personnel
- hit
- home health aide
- hospital performance
- immunizations
- incentive payment
- language
- locality code
- low birth weight
- lyme
- managed long-term care
- maternal sepsis
- meaningful use
- method of delivery
- microti
- miyamotoi
- mltc
- mmc
- mmis
- mortality
- mother’s age range
- npi
- nutritional risk
- occupancy
- operation name
- opioid death
- opra
- organ donation
- part 438
- personal care aide
- phagocytophilum
- powassanonly
- pqi 9
- pregnancy
- premature birth
- print image
- printed image
- provider enrollment
- q2
- quarter 1
- quarter 3
- race
- race/ethnicity
- residence code
- respiratory infection
- rso
- safety & costs
- septic shock
- stroke
- student weight
- subcategory
- temporary residences
- tissue bank
- tissue donation
- training
- vaccination rate
- vaccinations
- 2016
- 2018
- aca
- address
- adult
- adult care facility
- adult home
- affordable care act
- assisted living program
- assisted living residence
- birthweight
- capacity
- children
- chp
- chronic health
- college
- commercial hmo
- commercial ppo
- community based intervention
- complete streets
- deer tick virus
- delivery system reform incentive program
- enhanced assisted living residence
- enriched housing program
- formula
- grocery
- grocery formula allowed
- grocery with pharmacy
- healthy eating
- heart disease
- home care
- home care registry
- opioid
- opioid list
- patient
- pharmacy
- physical activity
- post-secondary
- powassan
- prevention quality indicators
- q3
- special needs assisted living residence
- swscr
- vaccine
- vendor
- 2017
- 2019
- baby
- child health plus
- childhood obesity
- de-identified
- facility name
- food
- health care coverage
- health disparities
- health insurance
- hospital cost report
- lhcsa
- low income
- maternity
- new york state
- obamacare
- postpartum
- pregnant
- radon
- restaurant
- severe sepsis
- supplemental foods
- surgery
- test kit
- age
- aids
- ambulatory care
- behavioral risk factor surveillance system
- cabg
- carbon monoxide
- cardiac
- cardiac surgery
- census
- coronary
- coronary artery bypass graft
- cost
- costs
- facilities
- fire safety
- hazards
- healthy homes
- hfis
- hiv
- homes
- housing
- indoor air
- infection
- intervention
- ixodes
- mold
- nursing home
- nursing home quality
- opcert
- operating certificate
- operator
- organ procurement
- pci
- pests
- program evaluation
- qi
- qm
- quality improvement
- quality management
- registration
- report
- residential health care
- revascularization
- scapularis
- tick
- ticks
- vaccination
- valve
- audited
- behavioral
- city
- contact information
- cost report
- drinking water
- emergency
- environmental healthgamma radiation
- environmental radiation
- facility
- factor
- hepatitis b
- live birth
- maternal age
- municipality
- nutrition
- pdi
- perinatal
- potentially preventable complication
- potentially preventable readmission
- potentially preventable visits
- ppc
- ppr
- ppv
- prevention
- risk
- sepsis
- state health improvement plan
- behavior
- breastfeeding
- cause of death
- cdc
- flu
- influenza
- inpatient quality indicator
- institutional
- iqi
- medicaid access
- patient safety indicator
- plan performance report
- prenatal care
- psi
- radiation surveillance
- risk factor
- smoking
- violation
- wic
- charge transparency
- data
- enrollment
- inspection
- services
- system
- tobacco
- death
- individual
- quality of care
- 2020
- beds
- id removed
- nursing homes
- population
- prevention agenda
- safety
- tracking indicator
- health indicator
- network
- pqi
- provider network
- utilization
- chronic disease
- community health indicator reports
- core set
- costs & safety
- health home
- spa
- lead
- school
- statistical data
- surveillance
- charges
- cost transparency
- immunization
- outpatient
- prevention quality indicator
- qarr
- diabetes
- brfss
- live births
- obesity
- survey
- cost reports
- oph
- financial
- reimbursement
- county
- discharge
- novel coronavirus
- public health
- vital statistics
- covid
- plan performance
- sars-cov2
- chirs
- covid-19
- environmental monitoring
- nuclear
- power plants
- all payer
- community health indicators
- county data
- radiation
- births-deaths-other facts
- county health assessment indicators
- quality
- pnds
- directory
- plan
- efficiency
- dsrip
- consumer resources
- hospital
- environmental health
- inpatient
- provider
- strategic initiatives
- sparcs
- facilities and services
- managed care
- medicaid
- community health and chronic disease
- quality-safety-costs
612 Results
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.
Updated
December 4 2019
Views
62,058
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.
Updated
December 4 2019
Views
61,360
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.
Updated
December 4 2019
Views
58,852
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.
Updated
December 4 2019
Views
58,984
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.
Updated
December 4 2019
Views
58,637
This 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 file 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.
Updated
December 4 2019
Views
105,839
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..
Updated
December 4 2019
Views
67,563
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.
Updated
December 4 2019
Views
61,989
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.
Updated
December 4 2019
Views
31,914
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.
Updated
December 4 2019
Views
59,218
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 July through September 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.
Updated
December 3 2019
Views
1,899
This dataset contains the registration status of each Licensed Home Care Services Agency (LHCSA) in New York State for calendar year 2019. Each LHCSA must register with the New York State Department of Health annually, in order to provide services, bill, and avoid paying a fine. For more information, visit: https://profiles.health.ny.gov/home_care/pages/lhcsa
Updated
November 8 2019
Views
23,175
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.
Updated
October 2 2019
Views
11,684
This column chart illustrates the rates of mental health services 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.
Updated
September 27 2019
Views
10,312
This column chart illustrates the number of short-stay admissions to a nursing facility 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.
Updated
September 27 2019
Views
9,709
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.
Updated
September 27 2019
Views
10,266
This dataset represents self‐reported performance data by HIV ambulatory care programs. All HIV ambulatory programs throughout New York State with a significant HIV caseload (a total caseload of at least 30 HIV‐infected patients receiving ambulatory HIV care at one or more sites) are expected to self‐report their annual quality of care performance data using standardized submission tools and methodologies. With the assistance of the online eHIVQUAL application, performance data results are instantly available to HIV programs, allowing them to immediately utilize their data findings to prioritize upcoming quality activities, and are available for generating benchmarking reports across New York State. See Limitations regarding redaction of small‐population data.
Updated
September 27 2019
Views
8,997
This dataset represents self‐reported performance data by HIV ambulatory care programs. All HIV ambulatory programs throughout New York State with a significant HIV caseload (a total caseload of at least 30 HIV‐infected patients receiving ambulatory HIV care at one or more sites) are expected to self‐report their annual quality of care performance data using standardized submission tools and methodologies. With the assistance of the online eHIVQUAL application, performance data results are instantly available to HIV programs, allowing them to immediately utilize their data findings to prioritize upcoming quality activities, and are available for generating benchmarking reports across New York State. See Limitations regarding redaction of small‐population data.
Updated
September 27 2019
Views
8,789
This chart summarizes performance at regional and statewide levels. The average clinic score (percentage of "yes" responses) for each region is compared to the average clinic score across the entire state. The default view displays data for viral load suppression, a key outcome measure, but other indicators may be selected under the Filter tab. Additional information about each data point can be obtained by moving your cursor over it.
This overview may be useful for public health officers and researchers. It also enables individual providers and consumers to compare care in their region to that at a particular facility. It should be noted, however, that these are only relative comparisons for the purpose of continuous quality improvement; the statewide average is not intended to define a standard of acceptable performance. Also, the statistical significance of regional performance variation depends on the number of submissions per region, which varies considerably across the state. The "About" tab contains additional details concerning this dataset.
Updated
September 27 2019
Views
59,378
This dataset represents self‐reported performance data by HIV ambulatory care programs. All HIV ambulatory programs throughout New York State with a significant HIV caseload (a total caseload of at least 30 HIV‐infected patients receiving ambulatory HIV care at one or more sites) are expected to self‐report their annual quality of care performance data using standardized submission tools and methodologies. With the assistance of the online eHIVQUAL application, performance data results are instantly available to HIV programs, allowing them to immediately utilize their data findings to prioritize upcoming quality activities, and are available for generating benchmarking reports across New York State. See Limitations regarding redaction of small‐population data.
Updated
September 27 2019
Views
8,728
This chart shows the percentage of homes with at least one smoker at the initial visit and revisit, by county for the 2009-2014 funding cycle. The chart gives an indication of the ability of the HNP’s smoking intervention (referrals and education) to decrease the prevalence of smoking in the home. The initial visit percentages range across counties from about 8% to almost 60%. There was a substantial reduction in Albany County, but most counties are essentially unchanged which may indicate the difficulty in changing people’s smoking habits. Three counties show no homes with smokers at the revisit, but these are newly funded counties that have conducted very few revisits to date. Because revisits are a subset of the initial visits, closer examination of the dataset is necessary to confirm the number of initial visits and revisits that were conducted before drawing conclusions. Please read the overview document under the “About” tab for more information on the limitations.
Updated
September 26 2019
Views
50,257
This chart shows the percentage of homes where mice were observed or reported at the initial visit and revisit, by county for the 2009-2014 funding cycle. The chart gives an indication of the ability of the HNP environmental intervention to decrease the prevalence of mice in the home. The HNP pest control intervention involves providing products (such as traps and cleaning supplies) and educating residents about removing harborage and food for pests by storing garbage appropriately, cleaning, and repairing holes that give mice entry into the home. In some cases, the HNP contacts local code enforcement or the landlord.
We can see that the initial visit percentages vary substantially across the across counties, which could reflect differing geography, urban versus rural target areas, and the quality of the housing stock. Except for one county, the homes that were selected for a revisit have a lower percentage with mice homes that had an initial visit, indicating an overall reduction in the percentage of homes with mice after the HNP intervention, although mice were not eradicated from all the homes. Oneida and Cortland Counties show no mice in the revisited homes, which could be an indication of success of the intervention and/or the selection of homes to revisit. For Westchester County, it is possible that the homes that the revisited homes were the worst and, therefore, had a higher percentage. These three counties demonstrate why the comparisons need to be interpreted with caution. Because revisits are a subset of the initial visits, the comparison has limitations. Please read the overview document under the “About” tab for more information on the limitations.
We can see that the initial visit percentages vary substantially across the across counties, which could reflect differing geography, urban versus rural target areas, and the quality of the housing stock. Except for one county, the homes that were selected for a revisit have a lower percentage with mice homes that had an initial visit, indicating an overall reduction in the percentage of homes with mice after the HNP intervention, although mice were not eradicated from all the homes. Oneida and Cortland Counties show no mice in the revisited homes, which could be an indication of success of the intervention and/or the selection of homes to revisit. For Westchester County, it is possible that the homes that the revisited homes were the worst and, therefore, had a higher percentage. These three counties demonstrate why the comparisons need to be interpreted with caution. Because revisits are a subset of the initial visits, the comparison has limitations. Please read the overview document under the “About” tab for more information on the limitations.
Updated
September 26 2019
Views
46,609
Each dwelling visited by the HNP is classified into one of three periods based on the year it was built: before 1950 (“pre-1950”), built 1950-1978, or built after 1978. These periods relate to the general age of the housing. Older housing can present health and safety hazards to their residents. In addition, these groupings coincide with the presence of lead in paint, a health hazard for young children.
For dwellings visited by the Clinton County HNP, this chart displays the percent of homes built in each period by funding cycle. For example, the first set of bars shows the percent of dwellings that were built before 1950 during each of the 3 funding cycles. We can see that Clinton County has increased the percent of the oldest homes from about 10% in the first funding cycle to almost 30% during the current funding cycle. Looking at the orange bars, we see that during the current funding cycle, Clinton County’s HNP has visited about the same percentage of homes built in each time period.
The counties participating in the Healthy Neighborhoods Program can create this type of chart to view trends in how they are targeting their visits. For example, if a county wants to reach older homes, it may want to refocus its efforts on communities with older housing stock. The "About" tab contains additional details concerning this dataset.
For dwellings visited by the Clinton County HNP, this chart displays the percent of homes built in each period by funding cycle. For example, the first set of bars shows the percent of dwellings that were built before 1950 during each of the 3 funding cycles. We can see that Clinton County has increased the percent of the oldest homes from about 10% in the first funding cycle to almost 30% during the current funding cycle. Looking at the orange bars, we see that during the current funding cycle, Clinton County’s HNP has visited about the same percentage of homes built in each time period.
The counties participating in the Healthy Neighborhoods Program can create this type of chart to view trends in how they are targeting their visits. For example, if a county wants to reach older homes, it may want to refocus its efforts on communities with older housing stock. The "About" tab contains additional details concerning this dataset.
Updated
September 26 2019
Views
62,151
This chart shows the diabetes mortality rate per 100,000 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.
Updated
September 26 2019
Views
47,616
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.
Updated
September 26 2019
Views
46,965
Didn't find what you're looking for? Suggest a dataset.
Suggest