500 U.S. Cities Data for Better and Effective Health
Preventing Chronic Diseases in U.S. Cities Through Implementing Public Targeted Health Activities
Keywords
Local Data in Largest Cities in US
Local Data in Biggest Cities in the US
Health Problems in Major Cities in the US
Census Tracts in Cities in America
US Chronic Diseases
US Health Outcomes
US Health Prevention
US 500 Cities Project Local Data for Better Health
This is the complete dataset for the 500 Cities project. It includes 2017 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).
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The data in this dataset were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The 500 Cities project was funded by the Robert Wood Johnson Foundation (RWJF) in collaboration 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.
The purpose of the 500 Cities Project is to provide city- and census tract-level small area estimates for chronic disease risk factors, health outcomes, and clinical preventive service use for the largest 500 cities in the United States. These small area estimates will allow cities and local health departments to better understand the burden and geographic distribution of health-related variables in their jurisdictions, and assist them in planning public health interventions.
It includes estimates for the 500 largest US cities and approximately 28,000 census tracts within these cities. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these measures include Behavioral Risk Factor Surveillance System (BRFSS) data (2015, 2016,2017), Census Bureau 2010 census population data, and American Community Survey (ACS) 2009-2013, 2010-2014 estimates.
The 27 Chronic Disease measures for each of the three categories are defined as follows:
– Unhealthy Behaviors
– Binge drinking among adults aged ≥ 18 years
– Current smoking among adults aged ≥18 years
– No leisure-time physical activity among adults aged ≥18 years
– Obesity among adults aged ≥18 years
– Sleeping less than 7 hours among adults aged ≥18 years
– Health Outcomes
– Arthritis among adults aged≥18 years
– Current asthma among adults aged≥18 years
– High blood pressure among adults aged≥18 years
– Cancer (excluding skin cancer) among adults aged≥18 years
– High cholesterol among adults aged≥18 years who have been screened in the past 5 years
– Chronic kidney disease among adults aged≥18 years
– Chronic obstructive pulmonary disease among adults aged≥18 years
– Coronary heart disease among adults aged≥18 years
– Diagnosed diabetes among adults aged≥18 years
– Mental health not good for≥14 days among adults aged≥18 years
– Physical health not good for≥14 days among adults aged≥18 years
– All teeth lost among adults aged≥65 years
– Stroke among adults aged≥18 years
– Prevention
– Current lack of health insurance among adults aged 18–64 years
– Visits to doctor for routine checkup within the past year among adults aged≥18 years
– Visits to dentist or dental clinic among adults aged ≥18 years
– Taking medicine for high blood pressure control among adults aged≥18 years with high blood pressure
– Cholesterol screening among adults aged≥18 years
– Mammography use among women aged 50–74 years
– Papanicolaou smear use among adult women aged 21–65 years
– Fecal occult blood test, sigmoidoscopy, or colonoscopy among adults aged 50–75 years
– Older adults aged≥65 years who are up to date on a core set of clinical preventive services by age and sex
In this dataset, the data value unit used is percentage. Also the estimates for population less than 50 have been suppressed.
About this Dataset
Data Info
Date Created
2016-10-28
Last Modified
2023-08-25
Version
2023-08-25
Update Frequency
Irregular
Temporal Coverage
2017
Spatial Coverage
United States
Source
John Snow Labs; Centers for Disease Control and Prevention;
Source License URL
Source License Requirements
N/A
Source Citation
N/A
Keywords
Local Data in Largest Cities in US, Local Data in Biggest Cities in the US, Health Problems in Major Cities in the US, Census Tracts in Cities in America, US Chronic Diseases, US Health Outcomes, US Health Prevention
Other Titles
500 U.S. Cities Data for Better and Effective Health, Preventing Chronic Diseases in U.S. Cities Through Implementing Public Targeted Health Activities
Data Fields
Name
Description
Type
Constraints
Year
It indicates the year of data.
date
required : 1
State_Abbreviation
It indicates the abbreviation of different states.
string
required : 1
State
It includes the description of different state.
string
required : 1
City_Name
It contains the name of different cities.
string
-
Geographic_Level
It Identifies either US, City or Census Tract.
string
required : 1
Measure_Category
It includes the measure category like Prevention, Health Outcomes, Unhealthy Behaviors of different cities.
string
required : 1
Unique_ID
At city-level, it is the FIPS code of CityFIPS. For tract-level data, it is a combined ID of CityFIPS and TractFIPS for tracts within the respective city with the exception of Honolulu, which only uses TractFIPS.
string
required : 1
Measure_ID_Full
It includes the full form for measure identifiers.
string
required : 1
Data_Value_Type_ID
It Identifies for the data value type.
string
required : 1
Data_Value_Type
The data type, such as age-adjusted prevalence or crude prevalence.
string
required : 1
Data_Value
It identifies the Data Value, such as 14.7.
number
level : Nominal
Low_Confidence_Limit
It identifies the lower confidence limit of the number.
number
level : Nominal
High_Confidence_Limit
It identifies the high confidence limit of the number.
number
level : Nominal
Population_Count
It identifies the Population count from census 2010.
integer
level : Ratio
Geo_Location_Latitude
It indicates the Latitude of city or census tract centroid.
number
-
Geo_Location_Longitude
It indicates the Longitude of city or census tract centroid.
number
-
Category_ID
It identifies the category ID such as PREVENT, HLTHOUT, UNHBEH.
string
-
Measure_ID_Short
It refers to the short form for measure identifier.
string
-
City_FIPS
It indicates the FIPS code of different cities. The FIPS state code is a numeric Federal Information Processing Standards (FIPS) code which uniquely identifies state and certain other associated areas within U.S.
integer
level : Nominal
Tract_FIPS
It indicates the Tract FIPS codes that uniquely identify the data. The FIPS state code is a numeric Federal Information Processing Standards (FIPS) code which uniquely identifies state and certain other associated areas within U.S.
integer
level : Nominal
Short_Question_Text
It indicates the Measure short name.
string
-
Data Preview
Year
State Abbreviation
State
City Name
Geographic Level
Measure Category
Unique ID
Measure ID Full
Data Value Type ID
Data Value Type
Data Value
Low Confidence Limit
High Confidence Limit
Population Count
Geo Location Latitude
Geo Location Longitude
Category ID
Measure ID Short
City FIPS
Tract FIPS
Short Question Text
2017
CA
California
Hawthorne
Census Tract
Health Outcomes
0632548-06037602504
Arthritis among adults aged >=18 Years
CrdPrv
Crude prevalence
14.6
13.9
15.2
4407
33.90554792
-118.33733229999999
HLTHOUT
ARTHRITIS
632548
6037602504.0
Arthritis
2017
CA
California
Hawthorne
City
Unhealthy Behaviors
632548
Current smoking among adults aged >=18 Years
CrdPrv
Crude prevalence
15.4
15.0
15.9
84293
33.9146677
-118.34766770000002
UNHBEH
CSMOKING
632548
Current Smoking
2017
CA
California
Hayward
City
Health Outcomes
633000
Coronary heart disease among adults aged >=18 Years
AgeAdjPrv
Age-adjusted prevalence
4.8
4.7
4.8
144186
37.63295916
-122.07705109999999
HLTHOUT
CHD
633000
Coronary Heart Disease
2017
CA
California
Hayward
City
Unhealthy Behaviors
633000
Obesity among adults aged >=18 Years
CrdPrv
Crude prevalence
24.2
24.1
24.4
144186
37.63295916
-122.07705109999999
UNHBEH
OBESITY
633000
Obesity
2017
CA
California
Hemet
City
Prevention
633182
Cholesterol screening among adults aged >=18 Years
AgeAdjPrv
Age-adjusted prevalence
78.0
77.6
78.3
78657
33.73522773
-116.994605
PREVENT
CHOLSCREEN
633182
Cholesterol Screening
2017
CA
California
Indio
Census Tract
Health Outcomes
0636448-06065045213
Arthritis among adults aged >=18 Years
CrdPrv
Crude prevalence
22.0
21.1
22.8
5006
33.71446171
-116.2582463
HLTHOUT
ARTHRITIS
636448
6065045213.0
Arthritis
2017
CA
California
Indio
City
Unhealthy Behaviors
636448
Binge drinking among adults aged >=18 Years
AgeAdjPrv
Age-adjusted prevalence
17.7
17.5
17.9
76036
33.72980678
-116.2372581
UNHBEH
BINGE
636448
Binge Drinking
2017
CA
California
Indio
City
Health Outcomes
636448
Chronic obstructive pulmonary disease among adults aged >=18 Years
Demos
