53 Results
filtered by...
Filter
Categories > 500 Cities & Places
Sort
Sort by Most Relevant
Filter
53 Results
filtered by
Categories > 500 Cities & Places
Clear All
This is the complete dataset for the 500 Cities project 2019 release. This dataset includes 2017, 2016 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 (2017, 2016), Census Bureau 2010 census population data, and American Community Survey (ACS) 2013-2017, 2012-2016 estimates. Because some questions are only asked every other year in the BRFSS, there are 7 measures (all teeth lost, dental visits, mammograms, pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) from the 2016 BRFSS that are the same in the 2019 release as the previous 2018 release. More information about the methodology can be found at www.cdc.gov/500cities.
Updated
December 8 2020
Views
51,385
2017, 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. 500 cities project census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. There are 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.
Updated
December 8 2020
Views
20,900
2017, 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. 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 7 measures (all teeth lost, dental visits, mammograms, Pap tests, colorectal cancer screening, core preventive services among older adults, and sleep less than 7 hours) in this 2019 release from the 2016 BRFSS that were the same as the 2018 release.
Updated
December 8 2020
Views
9,356
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.
Updated
December 8 2020
Views
3,904
File or Document
This census tract shapefile for the 500 Cities project was extracted from the Census 2010 Tiger/Line database and modified to remove portions of census tracts that were outside of city boundaries. This shapefile can be joined with 500 Cities census tract-level Data (GIS Friendly Format) in a geographic information system (GIS) to make maps at the census tract level.
Updated
December 8 2020
Views
3,470
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.
Updated
December 8 2020
Views
2,513
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.
Updated
December 8 2020
Views
2,255
File or Document
This city boundary shapefile was extracted from Esri Data and Maps for ArcGIS 2014 - U.S. Populated Place Areas. This shapefile can be joined to 500 Cities city-level Data (GIS Friendly Format) in a geographic information system (GIS) to make city-level maps.
Updated
December 8 2020
Views
2,026
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.
Updated
December 8 2020
Views
2,021
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.
Updated
December 8 2020
Views
1,929
500 cities project census tract-level data in GIS-friendly format. This dataset can be joined with census tract spatial data in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Census tract spatial data also can be downloaded at this site.
Updated
December 8 2020
Views
2,068
2014, 2013. 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 census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level.
Updated
January 4 2021
Views
1,891
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.
Updated
December 8 2020
Views
1,465
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.
Updated
December 8 2020
Views
1,511
This is the complete dataset for the 500 Cities project 2016 release. This dataset includes 2013, 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 (2013, 2014), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates. More information about the methodology can be found at www.cdc.gov/500cities.
Note: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.
Note: During the process of uploading the 2015 estimates, CDC found a data discrepancy in the published 500 Cities data for the 2014 city-level obesity crude prevalence estimates caused when reformatting the SAS data file to the open data format. . The small area estimation model and code were correct. This data discrepancy only affected the 2014 city-level obesity crude prevalence estimates on the Socrata open data file, the GIS-friendly data file, and the 500 Cities online application. The other obesity estimates (city-level age-adjusted and tract-level) and the Mapbooks were not affected. No other measures were affected. The correct estimates are update in this dataset on October 25, 2017.
Updated
January 4 2021
Views
1,399
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.
Updated
December 8 2020
Views
1,562
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.
Updated
December 8 2020
Views
1,166
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.
Updated
December 8 2020
Views
849
2014, 2013. 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 census 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.
Updated
January 4 2021
Views
895
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.
Updated
December 8 2020
Views
681
This 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.
Updated
January 4 2021
Views
666
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.
Updated
December 8 2020
Views
1,286
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.
Updated
December 8 2020
Views
718
2015, 2014. 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 census tract-level data in GIS-friendly format can be joined with census tract spatial data (https://chronicdata.cdc.gov/500-Cities/500-Cities-Census-Tract-Boundaries/x7zy-2xmx) in a geographic information system (GIS) to produce maps of 27 measures at the census tract level. Because some questions are only asked every other year in the BRFSS, there are 7 measures in this 2017 release from the 2014 BRFSS that were the same as the 2016 release.
Updated
January 4 2021
Views
820
This dataset contains model-based county-level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates 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. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. 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 model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2018 or 2017 county population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.
Updated
January 4 2021
Views
735
Showing 1 to 25 of 53 results
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 (20)
- best practices (11)
- best practices for comprehensive tobacco control programs (9)
- bike (1)
- binge (1)
- blind (2)
- blood pressure (6)
- body mass index (bmi) (1)
- boundaries (2)
- breastfed (1)
- breastfeeding (24)
- brfss (61)
- bss (1)
- built environment (1)
- callers (8)
- cancer (21)
- cardiovascular (5)
- cardiovascular disease (42)
- cardiovascular health (6)
- caregiver (3)
- caries (1)
- caries experience (1)
- casinos (1)
- cataract (1)
- cdc (5)
- cdi (19)
- census (41)
- census tract (3)
- census tracts (1)
- centers for disease control and prevention (3)
- cerebrovascular disease (5)
- 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 (4)
- 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 (6)
- counseling (1)
- counties (2)
- county (14)
- 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 (7)
- 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 (4)
- fruits and vegetables (4)
- funding (8)
- funds (6)
- gaming (1)
- gats (1)
- gender (14)
- ghpss (1)
- gis (11)
- 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 (1)
- health communication (6)
- health communication interventions (9)
- healthy people (4)
- healthy people 2020 (6)
- heart (3)
- heart disease (7)
- 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 (48)
- 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 (5)
- 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 (136)
- oshdata (4)
- outcomes (20)
- overall health (3)
- overarching conditions (19)
- overweight (3)
- pap (1)
- papanicolaou (1)
- per capita (8)
- physical (2)
- physical activity (16)
- physical activity education (1)
- pipe (7)
- pipe tobacco (7)
- place (2)
- places (8)
- policy (57)
- preconception health (21)
- preemption (9)
- pregnancy history (21)
- prenatal care (21)
- prevalence (79)
- prevention (22)
- 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 (53)
- 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 (14)
- 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 (97)
- state tax per pack (1)
- status (3)
- stress (21)
- stroke (24)
- 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 (117)
- 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 (2)
- vegetables (2)
- vhi (10)
- vision correction (1)
- vision exam measures (1)
- vision impairment (12)
- 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 (2)
- zip code (2)
- zoning (1)