446 Results
Filter
Sort
Sort by Recently Added
Filter
446 Results
2017. 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.
Created
November 2 2016
Views
3,329
2017. 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.
Created
November 2 2016
Views
1,141
2017. 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.
Created
November 2 2016
Views
1,074
2017. 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.
Created
November 2 2016
Views
1,912
2017. 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.
Created
November 2 2016
Views
2,689
2017. 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.
Created
November 2 2016
Views
1,874
2017. 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.
Created
November 2 2016
Views
1,776
2017. 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.
Created
November 2 2016
Views
675
2016. 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 (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Created
November 2 2016
Views
857
2017. 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.
Created
November 2 2016
Views
1,323
2016. 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 (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Created
November 2 2016
Views
573
2016. 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 (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Created
November 2 2016
Views
519
2017. 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.
Created
November 2 2016
Views
1,485
2016. 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 (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Created
November 2 2016
Views
558
2017. 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.
Created
November 2 2016
Views
2,766
2017. 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.
Created
November 2 2016
Views
552
2017. 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.
Created
November 2 2016
Views
1,063
2017. 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.
Created
November 2 2016
Views
1,061
2016. 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 (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Created
November 2 2016
Views
616
2017. 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.
Created
November 2 2016
Views
3,156
2017. 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.
Created
November 2 2016
Views
4,887
2016. 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 (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Created
November 2 2016
Views
435
2017. 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.
Created
November 2 2016
Views
947
2016. 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 (2016, 2015), Census Bureau 2010 census population data, and American Community Survey (ACS) 2012-2016, 2011-2015 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Created
November 2 2016
Views
2,100
2017. 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.
Created
November 2 2016
Views
718
Tags
A-Z
- ... (34)
- 500 cities (34)
- 500cities (11)
- abuse (21)
- access to care (6)
- acs (2)
- activity (1)
- administration and management (15)
- adolescents (1)
- adult (20)
- adult cigarette use (1)
- adults (7)
- age (14)
- age-adjusted (2)
- aging (3)
- alcohol (22)
- alcohol use (21)
- allocation (6)
- american community survey (1)
- american lung association (7)
- any tobacco (3)
- appropriation (6)
- appropriations (1)
- arthritis (20)
- astdd (1)
- asthma (19)
- average cost per pack (2)
- awards (6)
- barriers to treatment (1)
- bars (1)
- basic screening survey (1)
- behavioral (53)
- behaviors (28)
- best practices (11)
- best practices for comprehensive tobacco control programs (9)
- bike (1)
- binge (1)
- blind (4)
- blindness (2)
- blood pressure (6)
- body mass index (bmi) (1)
- boundaries (2)
- breastfed (1)
- breastfeeding (23)
- brfss (65)
- bss (1)
- built environment (1)
- callers (8)
- cancer (21)
- cardiovascular (8)
- cardiovascular disease (45)
- cardiovascular health (6)
- caregiver (3)
- caries (1)
- caries experience (1)
- casinos (1)
- cataract (1)
- cdc (5)
- cdi (19)
- census (41)
- census tract (5)
- census tracts (1)
- centers for disease control and prevention (3)
- cerebrovascular disease (7)
- cessation (29)
- cessation coverage (8)
- cessation intervention (9)
- chd (1)
- checkup (1)
- child (2)
- children (2)
- cholesterol (8)
- chronic disease indicators (19)
- chronic kidney disease (19)
- chronic obstructive pulmonary disease (19)
- cigar (14)
- cigar use (4)
- cigarette (31)
- cigarette consumption per capita (1)
- cigarette excise tax (1)
- cigarette sales (7)
- cigarette use (21)
- cities (11)
- city (6)
- claims (5)
- claims data (2)
- cleft lip/cleft palate recording (6)
- cleft lip/cleft palate referral to care (6)
- cognitive health (3)
- colorectal (1)
- combustibles (7)
- comprehensive medicaid coverage (2)
- comprehensive medicaid coverage of cessation treatment (3)
- comprehensive smokefree indoor air (1)
- consumption (4)
- contact lenses (5)
- contraception (21)
- copd (1)
- coronary (1)
- coronary heart disease (7)
- counseling (1)
- counties (5)
- county (19)
- current (24)
- current asthma (1)
- cvd risk factors (6)
- demographics (14)
- dental (1)
- dental care (5)
- dental cleaning (6)
- dental sealants (1)
- dental visits (6)
- dentist (4)
- department of health and human services (1)
- diabetes (31)
- diagnosed prevalence (2)
- disability (19)
- diseases of the heart (3)
- division of oral health (10)
- dnpao (6)
- dollars (6)
- drinking (1)
- e-cigarette (20)
- ecigarette (4)
- education (14)
- electronic nicotine delivery systems (1)
- ends (1)
- estimates (31)
- ethnicity (14)
- ever (14)
- every day (10)
- expenditure (6)
- expenditures (1)
- eye diseases (10)
- eye exams (4)
- fact sheet (25)
- factor (36)
- falls (3)
- faq (6)
- farm (1)
- federal (6)
- federal and state tax as a percentage of retail price (1)
- federal and state tax per pack (1)
- fee-for-service plan (1)
- fire safety (1)
- former (10)
- frequency (10)
- frequent (7)
- fruit (3)
- fruits and vegetables (4)
- funding (8)
- funds (6)
- gaming (1)
- gats (1)
- gender (14)
- ghpss (1)
- gis (15)
- glasses (5)
- glaucoma (1)
- global (5)
- glossary (17)
- grants (6)
- gross cigarette tax revenue per state (1)
- group counseling (1)
- gshs (4)
- gsps (1)
- gtss (4)
- gyts (1)
- health (9)
- health communication (6)
- health communication interventions (9)
- healthy people (4)
- healthy people 2020 (6)
- heart (4)
- heart disease (9)
- heart diseases (10)
- high school (12)
- homes (4)
- hookah (3)
- hospitalizations (1)
- housing (1)
- hypertension (18)
- immunization (19)
- individual counseling (1)
- infant health (21)
- infants (1)
- infographic (8)
- infrastructure (6)
- insurance (1)
- interactive map (9)
- intervention (8)
- interventions (6)
- kidney (1)
- leading health indicator (1)
- legislation (47)
- licensure (7)
- loose tobacco (7)
- low income (1)
- mammogram (1)
- mammography (1)
- managed care plan (3)
- marketscan (1)
- max (1)
- medicaid (22)
- medicaid barriers to treatment (1)
- medicaid coverage of cessation treatment (7)
- medical diagnoses (5)
- medicare (2)
- medication (1)
- mental (1)
- mental health (40)
- methodology (16)
- methods (1)
- middle school (11)
- mmsa (2)
- money (6)
- morbidity (21)
- mortality (3)
- multiunit housing (1)
- myocardial infarction (1)
- national (3)
- national immunization survey (1)
- national quitline data warehouse (8)
- never (10)
- nhanes (1)
- nhis (1)
- nis (1)
- nohss (10)
- non-combustibles (7)
- nqdw (8)
- nsch (2)
- nutrition (4)
- nutrition physical activity and weight status (19)
- nyts (1)
- obese (1)
- obesity (29)
- office on smoking and health (71)
- older adults (19)
- oral health (35)
- osh (135)
- oshdata (4)
- outcomes (28)
- overall health (3)
- overarching conditions (19)
- overweight (3)
- pap (1)
- papanicolaou (1)
- per capita (8)
- physical (2)
- physical activity (15)
- physical activity education (1)
- pipe (7)
- pipe tobacco (7)
- place (4)
- places (16)
- policy (56)
- preconception health (21)
- preemption (9)
- pregnancy history (21)
- prenatal care (21)
- prevalence (89)
- prevention (30)
- products (3)
- programs (6)
- public health (19)
- qit (1)
- questions (2)
- quit (23)
- quit attempt (4)
- quit-now (8)
- quitline (10)
- race (14)
- recommendation (6)
- recommended level (6)
- reproductive health (40)
- restaurants (1)
- risk (61)
- risk behavior (17)
- risk factors (2)
- roll-your-own tobacco (7)
- rules (4)
- sae (3)
- sam (2)
- sammec (5)
- school based sealant programs (6)
- school personnel (1)
- screening (3)
- screenings (3)
- secondhand smoke (4)
- service utilization (7)
- services (10)
- sexual contacts (7)
- sexual identity (7)
- sexual orientation (7)
- shapefile (2)
- sleep (1)
- sleep behavior (21)
- slides (4)
- smart (4)
- smoke exposure (21)
- smokefree (8)
- smokefree campus (2)
- smokefree indoor air (13)
- smokeless (18)
- smokeless tobacco products (4)
- smoker (24)
- smoking (35)
- smoking status (21)
- soda (1)
- sodium (6)
- some days (10)
- spending (6)
- state (10)
- state and community (6)
- state and community interventions (9)
- state dental directors (6)
- state oral health program characteristics (6)
- state system (96)
- state tax per pack (1)
- status (11)
- stress (21)
- stroke (26)
- student health (4)
- students (1)
- surveillance (24)
- surveillance and evaluation (15)
- survey (81)
- survey questions (1)
- system (2)
- tax (19)
- tax burden on tobacco (7)
- tobacco (116)
- tobacco consumption (7)
- tobacco products (3)
- tobacco settlement payments (3)
- tobacco use (47)
- tooth decay (1)
- tooth loss (6)
- total recommended program costs (3)
- tract (6)
- tracts (35)
- transportation (1)
- treated prevalence (2)
- truven (1)
- tv (1)
- unhealthy (20)
- unintended pregnancy (21)
- untreated tooth decay (1)
- user (3)
- vaccines (3)
- vegetable (1)
- vegetables (2)
- vhi (10)
- vision (2)
- vision correction (1)
- vision exam measures (1)
- vision impairment (12)
- visual (2)
- visual acuity (1)
- visual function (6)
- vsp (1)
- walk (1)
- walking (1)
- water fluoridation (4)
- wfrs (4)
- wic (22)
- wic-pc (1)
- work (1)
- workforce (6)
- worksites (4)
- youth (11)
- youth access (4)
- youth cigarette use (1)
- youth online (17)
- youth tobacco sales (2)
- yrbs (13)
- yrbss (4)
- zcta (4)
- zip code (4)
- zoning (1)