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 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 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 premature births with less than 37 weeks gestation by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower percentage of premature births with less than 37 weeks gestation. The darker shaded counties have a higher percentage of premature births with less than 37 weeks gestation. 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 premature deaths of individuals less than 75 years old by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower percentage of premature deaths. The darker shaded counties have a higher percentage of premature deaths. 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 teen pregnancy rate per 1,000 females age 15 to 17 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower percentage of teen pregnancy. The darker shaded counties have a higher percentage of teen pregnancy. 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 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 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.

This layered map shows the locations of Creating Healthy Places interventions that are targeted towards children and the percentage of students (elementary, middle, and high school) who are obese (95th percentile or higher) by county (source: Student Weight Status Category Reporting System). The purpose of the Creating Healthy Places initiative is to implement community level interventions to promote healthy lifestyles to prevent obesity and type 2 diabetes. The lighter shaded counties have a lower percentage of obese students. The darker shaded counties have a higher percentage of obese students. This map can help identify areas that could benefit from more community level and school level interventions like the ones implemented through the Creating Healthy Places Initiative. The "About" tab contains additional details concerning this dataset.

Note: This dataset is no longer updated. This chart shows the counts of Creating Healthy Places interventions by intervention type. Creating Healthy Places to Live Work and Play (CHP2LWP) is a joint five year grant (October 2010 – October 2015) of New York State Department of Health’s Division of Chronic Disease Prevention and Division of Nutrition. The Purpose of the initiative is to implement community level interventions to promote healthy lifestyles to prevent obesity and type 2 diabetes. Twenty-two communities across New York State are funded to carry out this initiative. From a list of 18 policy, systems and environmental interventions, community contractors selected a minimum four to implement. The 18 interventions are grouped into five, broad activity categories. The activities include two that are related to increasing opportunities for physical activity, two that address improving nutrition, and one that addresses both physical activity and nutrition. For more information, check out: http://www.health.ny.gov/prevention/nutrition/healthy_places.htm. The "About" tab contains additional details concerning this dataset.

Note: This dataset is no longer updated. This dataset contains the locations of Creating Healthy Places interventions. Creating Healthy Places to Live Work and Play (CHP2LWP) is a joint five year grant (October 2010 – October 2015) of New York State Department of Health’s Division of Chronic Disease Prevention and Division of Nutrition. The Purpose of the initiative is to implement community level interventions to promote healthy lifestyles to prevent obesity and type 2 diabetes. Twenty-two communities across New York State are funded to carry out this initiative. From a list of 18 policy, systems and environmental interventions, community contractors selected a minimum four to implement. The 18 interventions are grouped into five, broad activity categories. The activities include two that are related to increasing opportunities for physical activity, two that address improving nutrition, and one that addresses both physical activity and nutrition.

Note: This dataset is no longer updated.This point map shows the locations of Creating Health Places interventions. Creating Healthy Places to Live Work and Play (CHP2LWP) is a joint five year grant (October 2010 – October 2015) of New York State Department of Health’s Division of Chronic Disease Prevention and Division of Nutrition. The Purpose of the initiative is to implement community level interventions to promote healthy lifestyles to prevent obesity and type 2 diabetes. Twenty-two communities across New York State are funded to carry out this initiative. From a list of 18 policy, systems and environmental interventions, community contractors selected a minimum four to implement. The 18 interventions are grouped into five, broad activity categories. The activities include two that are related to increasing opportunities for physical activity, two that address improving nutrition, and one that addresses both physical activity and nutrition. For more information, check out: http://www.health.ny.gov/prevention/nutrition/healthy_places.htm. The "About" tab contains additional details concerning this dataset.

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 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 tested in “pools”, or groups of up to ten adult ticks per pool, for the Powassan virus, also known as Deer tick virus. 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 minimum infection rates at a precise location and at a point in time. Both measures, tick population density and minimum infection percentages, 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 provides the results from collecting and testing nymph deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. Collection and testing take place across New York State (excluding New York City) from May to September, when nymph deer ticks are most commonly seen.

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

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

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

This dataset 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 tested in “pools”, or groups of up to ten adult ticks per pool, for the Powassan virus, also known as Deer tick virus. 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 minimum infection rates at a precise location and at one point in time. Both measures, tick population density and minimum infection percentages, 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 column chart shows performance measurement rates for diabetes HbA1c testing by Health Home for the Centers for Medicare & Medicaid Services (CMS) Core Set and Health Home State Plan Amendment (SPA). To support ongoing assessment of the effectiveness of the Health Home model, the CMS has established a recommended Core Set of health care quality measures that it intends to promulgate in the rule making process.
Please refer to the Overview document for additional information.

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 dataset contains monthly snapshots of the number of enrollments by population in the New York State Donate Life Registry beginning from 2008. The registry is a confidential database that records a person’s consent to organ/tissue donation upon death. The database is used by donation professionals to determine a person's donation status at the time of their death.

This dataset contains monthly snapshots of the number of enrollments by population in the New York State Donate Life Registry beginning from 2008. The registry is a confidential database that records a person’s consent to organ/tissue donation upon death. The database is used by donation professionals to determine a person's donation status at the time of their death.

This chart shows the percentage of population enrolled in the Donate Life Organ and Tissue Donor Registry by year. The registry is a confidential database that records a person’s consent to organ/tissue donation upon death. The database is used by donation professionals to determine a person's donation status at the time of their death. For more information, check out: www.health.ny.gov/donatelife. The "About" tab contains additional details concerning this dataset.

This map shows the percentage of the population 18 years of age or older enrolled in the New York State Donate Life Registry by county. The registry is a confidential database that records a person’s consent to organ/tissue donation upon death. The database is used by donation professionals to determine a person's donation status at the time of their death. For more information, check out: www.health.ny.gov/donatelife. The "About" tab contains additional details concerning this dataset.

This chart shows Gamma Radiation measurements for Cintichem, Tuxedo, Orange County compared to background measurements collected. Monitoring for this location was done for the years 1995 through 1997. The chart view can be changed to show other years by changing this option under the Filter tab. If grey broken columns appear it means data was not collected for that instance. You will need to scroll through the table information to find the comment that will give additional information. Please note that this program is not designed, or intended to monitor releases from discharge points at a specific facility (e.g., a stack). The facility operator performs this type of monitoring to meet the requirements of its licensing agency (e.g., a federal agency or the New York State Department of Environmental Conservation). For more information, check out http://www.nyhealth.gov/radiation. The "About" tab contains additional details concerning this dataset.

This chart shows Gamma Radiation measurements for Ginna Station compared to background measurements collected. The chart view can be changed to show other years by changing this option under the Filter tab. If grey broken columns appear it means data was not collected for that instance. You will need to scroll through the table information to find the comment that will give additional information. Please note that this program is not designed, or intended to monitor releases from discharge points at a specific facility (e.g., a stack). The facility operator performs this type of monitoring to meet the requirements of its licensing agency (e.g., a federal agency or the New York State Department of Environmental Conservation). For more information, check out http://www.nyhealth.gov/radiation. The "About" tab contains additional details concerning this dataset.