35 Results
filtered by...
Filter
Tags > tracts
Sort
Sort by Most Relevant
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
- tracts
- 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
- medicare
- 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
- treated prevalence
- 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
- 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
- user
- vegetables
- vision
- visual
- aging
- caregiver
- cdc
- cognitive health
- diseases of the heart
- ecigarette
- every day
- eye exams
- 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
- art
- assisted reproductive technology
- best practices
- blind
- claims
- clinic
- dentist
- ever
- fertility
- fruits and vegetables
- gshs
- gtss
- healthy people
- infertility
- medical diagnoses
- nutrition
- sammec
- secondhand smoke
- slides
- smart
- student health
- success rates
- water fluoridation
- wfrs
- best practices for comprehensive tobacco control programs
- cessation intervention
- cigar
- contact lenses
- dental care
- glasses
- global
- health communication interventions
- licensure
- smokefree
- state and community interventions
- youth
- access to care
- administration and management
- age
- american lung association
- blood pressure
- callers
- cardiovascular health
- 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
- infographic
- infrastructure
- intervention
- medicaid coverage of cessation treatment
- national quitline data warehouse
- nqdw
- place
- programs
- quit-now
- race
- school based sealant programs
- service utilization
- sodium
- state dental directors
- state oral health program characteristics
- surveillance and evaluation
- tooth loss
- tract
- visual function
- workforce
- zcta
- zip code
- adults
- census tract
- cessation coverage
- cigarette use
- coronary heart disease
- heart
- middle school
- sexual contacts
- sexual identity
- sexual orientation
- smokeless
- smoking status
- cerebrovascular disease
- cholesterol
- city
- preemption
- quitline
- smokefree indoor air
- tax
- counties
- current
- high school
- interactive map
- smoker
- division of oral health
- eye diseases
- heart diseases
- nohss
- state
- vhi
- 500cities
- cigarette
- cities
- quit
- adult
- cardiovascular
- cessation
- fact sheet
- heart disease
- services
- vision impairment
- yrbs
- e-cigarette
- physical activity
- surveillance
- methodology
- risk behavior
- youth online
- glossary
- health
- hypertension
- status
- asthma
- cdi
- chronic disease indicators
- chronic kidney disease
- chronic obstructive pulmonary disease
- disability
- gis
- immunization
- nutrition physical activity and weight status
- older adults
- overarching conditions
- public health
- arthritis
- unhealthy
- abuse
- alcohol use
- cancer
- contraception
- infant health
- morbidity
- preconception health
- pregnancy history
- prenatal care
- sleep behavior
- smoke exposure
- smoking
- stress
- unintended pregnancy
- medicaid
- wic
- breastfeeding
- county
- places
- stroke
- ...
- obesity
- diabetes
- estimates
- factor
- tobacco use
- legislation
- 500 cities
- oral health
- behaviors
- office on smoking and health
- outcomes
- prevention
- behavioral
- mental health
- policy
- reproductive health
- census
- cardiovascular disease
- risk
- state system
- survey
- brfss
- tobacco
- prevalence
- osh
- aad
- aaf
- alcohol-related disease impact
- ypll
- alcohol
35 Results
filtered by
Tags > tracts
Clear All
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
6,823
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
3,216
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
2,615
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
4,156
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
63,640
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
3,350
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
4,140
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
2,757
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
2,705
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
4,838
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
3,979
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
2,114
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
1,377
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
2,090
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
1,632
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
1,691
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
1,309
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
1,821
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
1,102
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
1,191
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
1,552
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.
Updated
December 8 2020
Views
2,679
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
773
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
891
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
912
Showing 1 to 25 of 35 results
Tags
A-Z
- ... (29)
- 500 cities (35)
- 500cities (11)
- aad (327)
- aaf (327)
- 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 (349)
- alcohol use (21)
- alcohol-related disease impact (327)
- allocation (1)
- american community survey (1)
- american lung association (6)
- any tobacco (2)
- appropriation (1)
- appropriations (1)
- art (4)
- arthritis (20)
- assisted reproductive technology (4)
- astdd (1)
- asthma (19)
- average cost per pack (1)
- awards (1)
- barriers to treatment (1)
- bars (1)
- basic screening survey (1)
- behavioral (40)
- behaviors (36)
- 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 (62)
- bss (1)
- built environment (1)
- callers (6)
- cancer (21)
- cardiovascular (12)
- cardiovascular disease (49)
- cardiovascular health (6)
- caregiver (3)
- caries (1)
- caries experience (1)
- casinos (1)
- cataract (1)
- cdc (3)
- cdi (19)
- census (41)
- census tract (7)
- census tracts (1)
- centers for disease control and prevention (2)
- cerebrovascular disease (8)
- 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 (8)
- claims (4)
- claims data (2)
- cleft lip/cleft palate recording (6)
- cleft lip/cleft palate referral to care (6)
- clinic (4)
- 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 (9)
- county (25)
- 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 (3)
- fact sheet (12)
- factor (31)
- falls (3)
- faq (6)
- farm (1)
- federal (1)
- fee-for-service plan (1)
- fertility (4)
- 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 (19)
- 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 (17)
- health communication (1)
- health communication interventions (5)
- healthy people (4)
- healthy people 2020 (1)
- heart (7)
- heart disease (12)
- 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)
- infertility (4)
- 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 (4)
- medicare (1)
- 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 (36)
- 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 (6)
- places (25)
- policy (40)
- preconception health (21)
- preemption (8)
- pregnancy history (21)
- prenatal care (21)
- prevalence (82)
- prevention (38)
- 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 (56)
- 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 (6)
- services (12)
- 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 (18)
- stress (21)
- stroke (28)
- student health (4)
- students (1)
- success rates (4)
- surveillance (15)
- surveillance and evaluation (6)
- survey (61)
- 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
- transportation (1)
- treated prevalence (1)
- 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 (327)
- yrbs (12)
- yrbss (3)
- zcta (6)
- zip code (6)
- zoning (1)