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.

This map shows the percentage of pregnant women in WIC who were pre-pregnancy obese with a BMI 30 or higher by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower percentages of pregnant women in WIC who were pre-pregnancy obese. The darker shaded counties have higher percentages of pregnant women in WIC who were pre-pregnancy obese. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties,11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This map shows the incidence rate per 100,000 of lung and bronchus cancer by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower incidence rates of lung and bronchus cancer. The darker shaded counties have higher incidence rates of lung and bronchus cancer. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 8 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This chart shows the percentage of 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.

This chart shows the percentage of pregnant women in WIC who were pre-pregnancy obese (BMI 30 or higher) by county. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and annually updated to provide data for over 300 health indicators, organized by 15 health topic and data for all counties, regions and state. To show only certain counties in the chart, enter the names of the counties in the county filter under the Filter tab. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This filtered view of the dataset is a list of the county health departments that were granted funds to implement the Healthy Neighborhoods Program (HNP) during each of three funding cycles (2006-2009, 2009-2014, and 2014-2019). The list of county health departments differs across funding cycles. For example, Albany County received funding from 2006-2014, whereas Clinton County has received funding continuously since 2006. It is important to be aware of the funding history for each county when looking at trends in housing demographics and conditions. The "About" tab contains additional details concerning this dataset.

This map shows the chlamydia case rate per 100,000 females age 15 to 19 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower chlamydia case rate. The darker shaded counties have a higher chlamydia case rate. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties,11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This map shows the total emergency department visit rate per 10,000 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower emergency department visit rates. The darker shaded counties have higher emergency department visit rates. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This map shows the diabetes short term complications hospitalization rate per 10,000 for individuals age 18 and over by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower diabetes short - term complications hospitalization rates. The darker shaded counties have higher diabetes short term complications hospitalization rates. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This map shows the percentage of high school drop outs by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower percentages of high school drop outs. The darker shaded counties have higher percentages of high school drop outs. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

The dataset contains hospital stroke designation and Coverdell registry participation status, acute stroke discharges counts (numerators, denominators), observed, expected and risk-adjusted acute stroke in-hospital/30-day post admission mortality rates with corresponding 95% confidence intervals. Mortality rates risk adjustment was based on the methodology developed by the New York State Department of Health.

The purpose of this data set is reporting of hospital-specific risk adjusted acute stroke mortality rates (RAMR) to inform hospitals, to aid initiatives to improve hospital quality performance and measurement, and to identify performance outliers for public reporting. The "About" tab contains additional details concerning this dataset.

This map shows the incidence age-adjusted rate per 100,000 for all cancer types by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower all cancer incidence age-adjusted rate. The darker shaded counties have a higher all cancer incidence age-adjusted rate. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset..

This map shows the unintentional injury hospitalization rate per 10,000 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower unintentional injury hospitalization rates. The darker shaded counties have higher unintentional injury hospitalization rates .New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This map shows the percentage of labor force unemployed by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower percentage of labor force unemployed. The darker shaded counties have a higher percentage of labor force unemployed. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This chart shows the percentage of pregnant women in the WIC program who were pre-pregancy overweight, but not obese (BMI 25 to less than 30) by county. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and annually updated to provide data for over 300 health indicators, organized by 15 health topic and data for all counties, regions and state. To show only certain counties in the chart, enter the names of the counties in the county filter under the Filter tab. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset..

This map shows the percentage of Medicaid enrollees with at least one dental visitin within the last year by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a higher percentage of Medicaid enrolees with at least one dental visit within the last year. The darker shaded counties have a lower percentage of Medicaid enrolees with at least one dental visit within the last year.This dataset contains the latest Community Health Indicator Report (CHRIS) data. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset..

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

The dataset contains hospital stroke designation and Coverdell registry participation status, acute stroke discharges counts (numerators, denominators), observed, expected and risk-adjusted acute stroke in-hospital/30-day post admission mortality rates with corresponding 95% confidence intervals. Mortality rates risk adjustment was based on the methodology developed by the New York State Department of Health.

The purpose of this data set is reporting of hospital-specific risk adjusted acute stroke mortality rates (RAMR) to inform hospitals, to aid initiatives to improve hospital quality performance and measurement, and to identify performance outliers for public reporting.

The charts shows risk adjusted rates of Potentially Preventable Readmissions by hospital for all payers beginning in 2009.
The Potentially Preventable Readmission (PPR) software created by 3M Health Information Systems, identifies hospital admissions clinically related to an initial admission within a specified time period. For this dataset, readmissions were evaluated within a 30-day time period from the discharge date of the initial hospital admission. A PPR may have resulted from a deficiency in the process of care and treatment at the initial hospitalization or lack of post discharge follow up. PPRs are not defined by unrelated events that occur post-discharge, such as admissions for trauma.
For each hospital, the total number of at risk admissions, the total number of observed PPR chains, the observed PPR rate, the expected PPR rate, and risk adjusted PPR rate are presented by year. For more information, check out http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This chart shows the trend in percentage of preterm births for Albany county. It also shows the 2024 objective. To view the chart for a different county, create a new chart under the "Visualize" tab. This chart is based on the Prevention Agenda Tracking Indicators county level trend data set posted on this site. Each dataset consists of county level data for 68 health tracking indicators and sub-indicators for the Prevention Agenda 2019-2024: New York State’s Health Improvement Plan. A health tracking indicator is a metric through which progress on a certain area of health improvement can be assessed. The indicators are organized by the Priority Area of the Prevention Agenda as well as the Focus Area under each Priority Area. Each dataset includes tracking indicators for the five Priority Areas of the Prevention Agenda 2013-2018. The most recent year dataset includes the most recent county level data for all indicators. The trend dataset includes the most recent county level data and historical data, where available. Each dataset also includes the Prevention Agenda 2018 state targets for the indicators. Sub-indicators are included in these datasets to measure health disparities among socioeconomic groups. For more information, check out: https://www.health.ny.gov/prevention/prevention_agenda/. The "About" tab contains additional details concerning this dataset.

This map shows the work related hospitlization rate per 100,000 employed individuals age 16 and over by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower work related hospitalization rates. The darker shaded counties have higher work related hospitalization rates. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

The datasets contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for all payer beneficiaries by patient county and patient zip code beginning in 2011.

The Potentially Preventable Visits (PPV), obtained from software created by 3M Health Information Systems, are emergency visits that may result from a lack of adequate access to care or ambulatory care coordination. These ambulatory sensitive conditions could be reduced or eliminated with adequate patient monitoring and follow up.

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

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

The charts shows observed vs. expected Potentially Preventable Readmission rates by hospital for all payer beneficaries.
The Potentially Preventable Readmission (PPR) software created by 3M Health Information Systems, identifies hospital admissions clinically related to an initial admission within a specified time period. For this dataset, readmissions were evaluated within a 30-day time period from the discharge date of the initial hospital admission. A PPR may have resulted from a deficiency in the process of care and treatment at the initial hospitalization or lack of post discharge follow up. PPRs are not defined by unrelated events that occur post-discharge, such as admissions for trauma.
For each hospital, the total number of at risk admissions, the total number of observed PPR chains, the observed PPR rate, the expected PPR rate, and risk adjusted PPR rate are presented by year. For more information, check out http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

The datasets contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for all payer beneficiaries by patient county and patient zip code beginning in 2011.

The Potentially Preventable Visits (PPV), obtained from software created by 3M Health Information Systems, are emergency visits that may result from a lack of adequate access to care or ambulatory care coordination. These ambulatory sensitive conditions could be reduced or eliminated with adequate patient monitoring and follow up.

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

The observed, expected and risk adjusted rates for PPV are presented by either resident county (including a statewide total) or resident zip code (including a statewide total). For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This chart shows the trend in the percentage of NY residents age 18 and over without health care coverage by gender from 2007 to 2010. Behavioral Risk Factor Surveillance System (BRFSS) sample data were used to generate annual percentages of non-institutionalized adult (18+) NYS residents with/without health insurance coverage. Health care coverage percentages are provided for 2007 forward, and are available for a range of demographic groups (New York City/Rest of State; Sex; Race/Ethnicity; Age; Education; Income; Disability Status; Employment Status; Mental Health Status).
BRFSS is a random digit dialing (RDD) phone survey of the health status and health behaviors of adult NYS residents. The sample covers between 6,000 and 9,000 completed interviews annually. For more information, check out: http://www.health.ny.gov/statistics/brfss/. The "About" tab contains additional details concerning this dataset.