Healthiest Weight Profile

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Healthiest Weight Profile, Florida - 2019
IndicatorYear(s)Rate TypeState CountState Rate
Socio-Demographic Characteristics
Total population12019Count21,268,553
Population under 18 Years Old12019Percent of Total Population4,240,07719.9
Population 18-64 Years Old12019Percent of Total Population12,686,86159.7
Population 65+ Years Old12019Percent of Total Population4,341,61520.4
Population - White12019Percent of Total Population16,439,62477.3
Population - Black12019Percent of Total Population3,603,59916.9
Population - Other12019Percent of Total Population1,225,3305.8
Population - Hispanic12019Percent of Total Population5,585,79926.3
Population - Non-Hispanic12019Percent of Total Population15,682,75473.7
Percentage of individuals below poverty level22018 5-yr estPercent2,983,85114.8
Percentage of civilian labor force which is unemployed22018 5-yr estPercent622,9786.3
Population 5+ that speak English less than very well22018 5-yr estPercent2,313,86511.9
Civilian non-institutionalized population with health insurance22018 5-yr estPercent86.5
Adults reporting a personal doctor or health care provider32018Percent73.8
Weight, Activity, and Eating Habits among Adults
Adults who are at a healthy weight32018Percent32.2
Adults who are underweight32017Percent2.0
Adults who are overweight or obese32018Percent65.9
    Adults who are overweight32018Percent35.3
    Adults who are obese32018Percent30.7
Adults who meet aerobic recommendations32017Percent49.5
Adults who meet muscle strengthening recommendations32017Percent30.0
Adults who are sedentary32018Percent26.8
Adults who are inactive or insufficiently active32016Percent56.7
Adults who consume at least 5 servings of fruits and vegetables a day32017Percent16.9
Behavioral Health and Body Image
Average number of unhealthy mental days in the past 30 days32017Percent3.9
Adults whose poor physical or mental health kept them from doing usual activities on 14 or more of the past 30 days (Among adults who have had at least one day of poor mental or physical health)32018Percent18.3
Maternal Weight and Breastfeeding among Mothers
Live births to mothers who are at a healthy weight (BMI 18.5-24.9) at time pregnancy occurred52019Percent of Live Births87,56941.7
Live births to mothers who are overweight (BMI 25.0-29.9) at time pregnancy occurred52018Percent of Live Births56,78627.2
Live births to mothers who are obese (BMI>=30) at time pregnancy occurred52018Percent of Live Births54,64126.2
Live births to mothers who initiate breastfeeding52018Percent of Live Births190,94991.4
Live births to mothers who are underweight (BMI< 18.5) at time pregnancy occurred52018Percent of Live Births7,7243.5
Built Environment
Population that live within a 1/2 mile of healthy food source72019Percent31.0
Population that live within a 1/2 mile of a fast food restaurant72019Percent32.3
Population that live within a ten minute walk (1/2 mile) of an off-street trail system72019Percent18.4
Workers who used car, truck, or van - drove alone22018 5-yr estPercent7,255,39079.4
Workers who used taxicab, motorcycle, bicycle, or other means to work22018 5-yr estPercent203,2542.2
Workers who walk to work22018 5-yr estPercent129,9871.4

Data Note(s):

Where rates are based on a sample, no number (count) is available.

Blanks are shown if there is no count or rate available for the indicator.

Data Source(s):

1Florida Legislature's Office of Economic and Demographic Research (EDR)

2U.S. Census Bureau, 2012 5-year estimate

3Behavioral Risk Factor Surveillance System (BRFSS)

4Florida Youth Tobacco Survey (FYTS)

5Florida State Office of Vital Statistics

6Pregnancy Risk Assessment Monitoring System (PRAMS)

7Florida Environmental Public Health Tracking

Quartiles:

Most favorable situation
1
(Lightest color on maps)
Average
2 or 3
Least favorable situation
4
(Darkest color on maps)

Calculation of quartiles require several steps to create the final results.

First, the county values are sorted from most favorable to least favorable.

Second, a rank is assigned based on the value for each county in relation to the preceding county. If a county has the same value as the preceding county, then the same rank is assigned.

Third, the ranking is divided into 4 groups. The number of counties in each group depends on how many counties had the same rank.