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LA Tracts
chronicdata.cdc.gov | Last Updated 2019-12-05T02:46:26.000ZThis is the complete dataset for the 500 Cities project 2017 release. This dataset includes 2015, 2014 model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2015, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2011-2015, 2010-2014 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures from the 2014 BRFSS that are the same in the 2017 release as the previous 2016 release. More information about the methodology can be found at www.cdc.gov/500cities.
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500 Cities: High blood pressure among adults aged >=18 years
chronicdata.cdc.gov | Last Updated 2019-12-05T20:29:09.000Z2017. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. This is a filtered subset of the 500 Cities data that provides model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2017), Census Bureau 2010 census population data, and American Community Survey (ACS) 2013-2017 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
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Graph of Rates of Infant Sleeping on Back
chronicdata.cdc.gov | Last Updated 2018-02-27T18:55:35.000Z2011. Centers for Disease Control and Prevention (CDC). PRAMS, the Pregnancy Risk Assessment Monitoring System, is a surveillance system collecting state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy. It is a collaborative project of the Centers for Disease Control and Prevention (CDC) and state health departments. PRAMS provides data for state health officials to use to improve the health of mothers and infants. PRAMS topics include abuse, alcohol use, contraception, breastfeeding, mental health, morbidity, obesity, preconception health, pregnancy history, prenatal-care, sleep behavior, smoke exposure, stress, tobacco use, WIC, Medicaid, infant health, and unintended pregnancy. Data will be updated annually as it becomes available.
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Table for STATE System Smokefree Indoor Air - Private Worksites, Restaurants, and Bars Interactive Map
chronicdata.cdc.gov | Last Updated 2019-11-15T17:59:29.000Z1995-2019. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Indoor Air. The STATE System houses current and historical state-level legislative data on tobacco use prevention and control policies. Data are reported on a quarterly basis. Data include information related to state legislation on smokefree indoor air in areas such as: Bars, Commercial Day Care Centers, Government Multi-Unit Housing, Government Worksites, Home-Based Day Care Centers, Hotels and Motels, Personal Vehicles, Private Multi-Unit Housing, Private Worksites, Restaurants, Bingo Halls, Casinos, Enclosed Arenas, Grocery Stores, Hospitals, Hospital Campuses, Malls, Mental Health Outpatient and Residential Facilities, Prisons, Public Transportation, Racetrack Casinos, Substance Abuse Outpatient and Residential Facilities.
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Table for STATE System Quitline Service Utilization - Incoming Calls per 10,000 State Population (NQDW OSH) Interactive Map
chronicdata.cdc.gov | Last Updated 2019-09-17T11:06:46.000Z2017. National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System. NQDW Data. National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines. States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services. The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.
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500 Cities: Current smoking among adults aged >=18 years
chronicdata.cdc.gov | Last Updated 2019-12-05T20:27:10.000Z2017. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. This is a filtered subset of the 500 Cities data that provides model-based small area estimates for 27 measures of chronic disease related to unhealthy behaviors (5), health outcomes (13), and use of preventive services (9). It represents a first-of-its kind effort to release information on a large scale for cities and for small areas within those cities. It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2017), Census Bureau 2010 census population data, and American Community Survey (ACS) 2013-2017 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
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Map of Callers Who Received Counseling and/or Medication per 1,000 Tobacco Users (Quitline - Services Utilization - 2010 To Present)
chronicdata.cdc.gov | Last Updated 2019-09-17T10:37:41.000Z2010-2017. National Quitline Data Warehouse (NQDW). State Tobacco Activities Tracking and Evaluation (STATE) System. NQDW Data. National Quitline Data Warehouse (NQDW) assists in evaluating quitline activities and serves as a national resource for data on the use, success, and services of state quitlines. States report data on quitline callers, quitting success, as well as the services provided by their quitlines. The NQDW consolidates this information for evaluating programs and improving quitline services. The jurisdictions participating in this data collection effort include the 50 states, the District of Columbia, Guam and Puerto Rico.
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500 Cities: City-level Data (GIS Friendly Format), 2018 release
chronicdata.cdc.gov | Last Updated 2019-12-05T19:20:29.000Z2016, 2015. Data were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. 500 cities project city-level data in GIS-friendly format can be joined with city spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-City-Boundaries/n44h-hy2j) in a geographic information system (GIS) to produce maps of 27 measures at the city-level. There are 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, cholesterol screening) in this 2018 release from the 2015 BRFSS that were the same as the 2017 release.
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American Community Survey (ACS) – Vision and Eye Health Surveillance
chronicdata.cdc.gov | Last Updated 2019-11-18T17:21:08.000Z2014, 2015, 2016, 2017. This dataset is a de-identified summary table of vision and eye health data indicators from ACS, stratified by all available combinations of age group, race/ethnicity, gender, and state. ACS is an annual nationwide survey conducted by the U.S. Census Bureau that collects information on demographic, social, economic, and housing characteristics of the U.S. population. Approximate sample size is 3 million annually. ACS data for VEHSS includes one question related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS ACS analyses can be found on the VEHSS ACS webpage (link). Additional information about ACS can be found on the U.S. Census Bureau website (https://www.census.gov/content/dam/Census/programs-surveys/acs/about/ACS_Information_Guide.pdf). The VEHSS ACS dataset was last updated in June 2018.
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U.S. Chronic Disease Indicators: Nutrition, Physical Activity, and Weight Status
chronicdata.cdc.gov | Last Updated 2018-05-24T20:45:48.000ZCDC's Division of Population Health provides cross-cutting set of 124 indicators that were developed by consensus and that allows states and territories and large metropolitan areas to uniformly define, collect, and report chronic disease data that are important to public health practice and available for states, territories and large metropolitan areas. In addition to providing access to state-specific indicator data, the CDI web site serves as a gateway to additional information and data resources.