381 Results
Filter
Sort
Sort by Recently Added
Filter
Categories
- 500 Cities & Places
- Alcohol-Related Disease Impact
- Assisted Reproductive Technology (ART)
- Behavioral Risk Factors
- Chronic Disease Indicators
- Healthy Aging
- Heart Disease & Stroke Prevention
- Maternal & Child Health
- Nutrition, Physical Activity, and Obesity
- Oral Health
- Tobacco Use Show all options for %{facet_category}
- Vision & Eye Health
- Youth Risk Behaviors
Tags
- activity
- adolescents
- adult cigarette use
- allocation
- american community survey
- appropriation
- appropriations
- astdd
- average cost per pack
- awards
- barriers to treatment
- bars
- basic screening survey
- bike
- binge
- body mass index (bmi)
- breastfed
- bss
- built environment
- caries
- caries experience
- casinos
- cataract
- census tracts
- chd
- checkup
- cigar use
- cigarette excise tax
- colorectal
- comprehensive smokefree indoor air
- consumption
- copd
- coronary
- counseling
- current asthma
- dental
- dental sealants
- department of health and human services
- dollars
- drinking
- expenditure
- expenditures
- farm
- federal
- fee-for-service plan
- fire safety
- funds
- gaming
- gats
- ghpss
- glaucoma
- grants
- gross cigarette tax revenue per state
- group counseling
- gsps
- gyts
- health communication
- healthy people 2020
- homes
- hospitalizations
- housing
- individual counseling
- infants
- insurance
- interventions
- kidney
- leading health indicator
- low income
- mammogram
- mammography
- marketscan
- max
- medicaid barriers to treatment
- medication
- mental
- methods
- money
- multiunit housing
- myocardial infarction
- national immunization survey
- nhanes
- nhis
- nis
- nyts
- obese
- pap
- papanicolaou
- physical activity education
- qit
- quit attempt
- recommendation
- recommended level
- restaurants
- rules
- school personnel
- sleep
- smokeless tobacco products
- soda
- spending
- state and community
- students
- survey questions
- tobacco settlement payments
- tooth decay
- transportation
- truven
- tv
- untreated tooth decay
- vegetable
- vision correction
- vision exam measures
- visual acuity
- vsp
- walk
- walking
- wic-pc
- work
- worksites
- youth cigarette use
- youth tobacco sales
- zoning
- acs
- age-adjusted
- any tobacco
- blindness
- boundaries
- centers for disease control and prevention
- child
- children
- cigarette sales
- claims data
- combustibles
- comprehensive medicaid coverage
- comprehensive medicaid coverage of cessation treatment
- diagnosed prevalence
- frequent
- hookah
- loose tobacco
- medicare
- mmsa
- national
- non-combustibles
- nsch
- physical
- pipe tobacco
- products
- questions
- risk factors
- roll-your-own tobacco
- sae
- sam
- shapefile
- smokefree campus
- system
- tax burden on tobacco
- tobacco consumption
- tobacco products
- total recommended program costs
- treated prevalence
- user
- vegetables
- vision
- visual
- aging
- caregiver
- cdc
- cognitive health
- diseases of the heart
- ecigarette
- every day
- falls
- former
- frequency
- fruit
- funding
- managed care plan
- mortality
- never
- oshdata
- overall health
- overweight
- per capita
- pipe
- screening
- screenings
- some days
- vaccines
- youth access
- yrbss
- best practices
- blind
- dentist
- ever
- eye exams
- fruits and vegetables
- gshs
- gtss
- healthy people
- nutrition
- place
- sammec
- secondhand smoke
- slides
- smart
- student health
- water fluoridation
- wfrs
- zcta
- zip code
- best practices for comprehensive tobacco control programs
- census tract
- cessation intervention
- cigar
- claims
- contact lenses
- dental care
- glasses
- global
- health communication interventions
- licensure
- medical diagnoses
- smokefree
- state and community interventions
- youth
- access to care
- administration and management
- age
- american lung association
- blood pressure
- callers
- cardiovascular health
- city
- cleft lip/cleft palate recording
- cleft lip/cleft palate referral to care
- cvd risk factors
- demographics
- dental cleaning
- dental visits
- dnpao
- education
- ethnicity
- faq
- gender
- heart
- infographic
- infrastructure
- intervention
- medicaid coverage of cessation treatment
- national quitline data warehouse
- nqdw
- programs
- quit-now
- race
- school based sealant programs
- sodium
- state dental directors
- state oral health program characteristics
- surveillance and evaluation
- tooth loss
- tract
- visual function
- workforce
- adults
- cerebrovascular disease
- cessation coverage
- cigarette use
- coronary heart disease
- counties
- middle school
- service utilization
- sexual contacts
- sexual identity
- sexual orientation
- smokeless
- smoking status
- cholesterol
- preemption
- quitline
- services
- smokefree indoor air
- tax
- aad
- aaf
- alcohol-related disease impact
- current
- health
- high school
- interactive map
- smoker
- ypll
- cardiovascular
- division of oral health
- eye diseases
- heart diseases
- nohss
- state
- status
- vhi
- 500cities
- cigarette
- cities
- heart disease
- quit
- adult
- cessation
- fact sheet
- vision impairment
- yrbs
- e-cigarette
- gis
- physical activity
- surveillance
- methodology
- places
- risk behavior
- youth online
- glossary
- hypertension
- asthma
- cdi
- chronic disease indicators
- chronic kidney disease
- chronic obstructive pulmonary disease
- disability
- immunization
- nutrition physical activity and weight status
- older adults
- overarching conditions
- public health
- arthritis
- unhealthy
- abuse
- alcohol use
- cancer
- contraception
- county
- infant health
- morbidity
- preconception health
- pregnancy history
- prenatal care
- sleep behavior
- smoke exposure
- smoking
- stress
- unintended pregnancy
- medicaid
- wic
- breastfeeding
- stroke
- behaviors
- outcomes
- obesity
- prevention
- alcohol
- diabetes
- estimates
- tobacco use
- legislation
- ...
- 500 cities
- oral health
- tracts
- factor
- office on smoking and health
- mental health
- policy
- reproductive health
- census
- behavioral
- cardiovascular disease
- risk
- state system
- brfss
- survey
- prevalence
- tobacco
- osh
381 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
2,088
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
1,851
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
726
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
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
1,571
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
613
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
563
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
1,576
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
619
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
3,076
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
589
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
1,208
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
1,168
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
692
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
3,660
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
5,338
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
481
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
1,017
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
2,352
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
811
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
1,235
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.
Created
November 2 2016
Views
26,246
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.
Created
October 28 2016
Views
11,553
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.
Created
October 28 2016
Views
58,736
2012 to 2014, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by gender and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke http://www.cdc.gov/dhdsp/maps/atlas
Created
September 20 2016
Views
1,612
Tags
A-Z
- ... (34)
- 500 cities (34)
- 500cities (11)
- aad (9)
- aaf (9)
- abuse (21)
- access to care (6)
- acs (2)
- activity (1)
- administration and management (6)
- adolescents (1)
- adult (12)
- adult cigarette use (1)
- adults (7)
- age (6)
- age-adjusted (2)
- aging (3)
- alcohol (31)
- alcohol use (21)
- alcohol-related disease impact (9)
- allocation (1)
- american community survey (1)
- american lung association (6)
- any tobacco (2)
- appropriation (1)
- appropriations (1)
- arthritis (20)
- astdd (1)
- asthma (19)
- average cost per pack (1)
- awards (1)
- barriers to treatment (1)
- bars (1)
- basic screening survey (1)
- behavioral (45)
- behaviors (28)
- best practices (4)
- best practices for comprehensive tobacco control programs (5)
- bike (1)
- binge (1)
- blind (4)
- blindness (2)
- blood pressure (6)
- body mass index (bmi) (1)
- boundaries (2)
- breastfed (1)
- breastfeeding (23)
- brfss (63)
- bss (1)
- built environment (1)
- callers (6)
- cancer (21)
- cardiovascular (10)
- cardiovascular disease (47)
- cardiovascular health (6)
- caregiver (3)
- caries (1)
- caries experience (1)
- casinos (1)
- cataract (1)
- cdc (3)
- cdi (19)
- census (41)
- census tract (5)
- census tracts (1)
- centers for disease control and prevention (2)
- cerebrovascular disease (7)
- cessation (12)
- cessation coverage (7)
- cessation intervention (5)
- chd (1)
- checkup (1)
- child (2)
- children (2)
- cholesterol (8)
- chronic disease indicators (19)
- chronic kidney disease (19)
- chronic obstructive pulmonary disease (19)
- cigar (5)
- cigar use (1)
- cigarette (11)
- cigarette excise tax (1)
- cigarette sales (2)
- cigarette use (7)
- 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 (2)
- comprehensive medicaid coverage (2)
- comprehensive medicaid coverage of cessation treatment (2)
- comprehensive smokefree indoor air (1)
- consumption (1)
- contact lenses (5)
- contraception (21)
- copd (1)
- coronary (1)
- coronary heart disease (7)
- counseling (1)
- counties (7)
- county (21)
- current (9)
- current asthma (1)
- cvd risk factors (6)
- demographics (6)
- 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 (1)
- drinking (1)
- e-cigarette (13)
- ecigarette (3)
- education (6)
- estimates (31)
- ethnicity (6)
- ever (4)
- every day (3)
- expenditure (1)
- expenditures (1)
- eye diseases (10)
- eye exams (4)
- fact sheet (12)
- factor (36)
- falls (3)
- faq (6)
- farm (1)
- federal (1)
- fee-for-service plan (1)
- fire safety (1)
- former (3)
- frequency (3)
- frequent (2)
- fruit (3)
- fruits and vegetables (4)
- funding (3)
- funds (1)
- gaming (1)
- gats (1)
- gender (6)
- ghpss (1)
- gis (15)
- glasses (5)
- glaucoma (1)
- global (5)
- glossary (17)
- grants (1)
- gross cigarette tax revenue per state (1)
- group counseling (1)
- gshs (4)
- gsps (1)
- gtss (4)
- gyts (1)
- health (9)
- health communication (1)
- health communication interventions (5)
- healthy people (4)
- healthy people 2020 (1)
- heart (6)
- heart disease (11)
- heart diseases (10)
- high school (9)
- homes (1)
- hookah (2)
- hospitalizations (1)
- housing (1)
- hypertension (18)
- immunization (19)
- individual counseling (1)
- infant health (21)
- infants (1)
- infographic (6)
- infrastructure (6)
- insurance (1)
- interactive map (9)
- intervention (6)
- interventions (1)
- kidney (1)
- leading health indicator (1)
- legislation (33)
- licensure (5)
- loose tobacco (2)
- 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 (6)
- medical diagnoses (5)
- medicare (2)
- medication (1)
- mental (1)
- mental health (40)
- methodology (16)
- methods (1)
- middle school (7)
- mmsa (2)
- money (1)
- morbidity (21)
- mortality (3)
- multiunit housing (1)
- myocardial infarction (1)
- national (2)
- national immunization survey (1)
- national quitline data warehouse (6)
- never (3)
- nhanes (1)
- nhis (1)
- nis (1)
- nohss (10)
- non-combustibles (2)
- nqdw (6)
- nsch (2)
- nutrition (4)
- nutrition physical activity and weight status (19)
- nyts (1)
- obese (1)
- obesity (29)
- office on smoking and health (36)
- older adults (19)
- oral health (35)
- osh (85)
- oshdata (3)
- outcomes (28)
- overall health (3)
- overarching conditions (19)
- overweight (3)
- pap (1)
- papanicolaou (1)
- per capita (3)
- physical (2)
- physical activity (15)
- physical activity education (1)
- pipe (3)
- pipe tobacco (2)
- place (4)
- places (16)
- policy (40)
- preconception health (21)
- preemption (8)
- pregnancy history (21)
- prenatal care (21)
- prevalence (74)
- prevention (30)
- products (2)
- programs (6)
- public health (19)
- qit (1)
- questions (2)
- quit (11)
- quit attempt (1)
- quit-now (6)
- quitline (8)
- race (6)
- recommendation (1)
- recommended level (1)
- reproductive health (40)
- restaurants (1)
- risk (53)
- risk behavior (16)
- risk factors (2)
- roll-your-own tobacco (2)
- rules (1)
- sae (2)
- sam (2)
- sammec (4)
- school based sealant programs (6)
- school personnel (1)
- screening (3)
- screenings (3)
- secondhand smoke (4)
- service utilization (7)
- services (8)
- sexual contacts (7)
- sexual identity (7)
- sexual orientation (7)
- shapefile (2)
- sleep (1)
- sleep behavior (21)
- slides (4)
- smart (4)
- smoke exposure (21)
- smokefree (5)
- smokefree campus (2)
- smokefree indoor air (8)
- smokeless (7)
- smokeless tobacco products (1)
- smoker (9)
- smoking (21)
- smoking status (7)
- soda (1)
- sodium (6)
- some days (3)
- spending (1)
- state (10)
- state and community (1)
- state and community interventions (5)
- state dental directors (6)
- state oral health program characteristics (6)
- state system (58)
- status (10)
- stress (21)
- stroke (27)
- student health (4)
- students (1)
- surveillance (15)
- surveillance and evaluation (6)
- survey (66)
- survey questions (1)
- system (2)
- tax (8)
- tax burden on tobacco (2)
- tobacco (78)
- tobacco consumption (2)
- tobacco products (2)
- tobacco settlement payments (1)
- tobacco use (32)
- tooth decay (1)
- tooth loss (6)
- total recommended program costs (2)
- tract (6)
- tracts (35)
- transportation (1)
- treated prevalence (2)
- truven (1)
- tv (1)
- unhealthy (20)
- unintended pregnancy (21)
- untreated tooth decay (1)
- user (2)
- 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 (1)
- youth (5)
- youth access (3)
- youth cigarette use (1)
- youth online (16)
- youth tobacco sales (1)
- ypll (9)
- yrbs (12)
- yrbss (3)
- zcta (4)
- zip code (4)
- zoning (1)