Demographics details for Stuttgart, AR vs Fleming island, FL

Population Overview

Compare main population characteristics in Stuttgart, AR vs Fleming island, FL.

Data Stuttgart Fleming island
Population 7,907 29,810
Median Age 37.8 years 47.0 years
Median Income $59,124 $117,414
Married Families 39.0% 57.0%
Poverty Level 18% 5%
Unemployment Rate 4.2 2.5

Population Comparison: Stuttgart vs Fleming island

  • The population in Fleming island is higher at 29,810, compared to 7,907 in Stuttgart.
  • The median age in Fleming island is higher at 47.0 years, compared to 37.8 years in Stuttgart.
  • Fleming island has a higher median income of $117,414, compared to $59,124 in Stuttgart.
  • In Fleming island, the percentage of married families is higher at 57.0%, compared to 39.0% in Stuttgart.
  • Stuttgart has a higher poverty level at 18% compared to 5% in Fleming island.
  • The unemployment rate in Stuttgart is higher at 4.2%, compared to 2.5% in Fleming island.

Demographics

Demographics Stuttgart vs Fleming island provide insight into the diversity of the communities to compare.

Demographic Stuttgart Fleming island
Black 42 6
White 53 75
Asian Data is updating 2
Hispanic 2 10
Two or More Races 3 7
American Indian Data is updating Data is updating

Demographics Comparison: Stuttgart vs Fleming island

  • A higher percentage of Black residents are in Stuttgart at 42% compared to 6% in Fleming island.
  • The percentage of White residents is higher in Fleming island at 75% compared to 53% in Stuttgart.
  • In Fleming island, the Asian population stands at 2%, greater than 0% in Stuttgart.
  • Fleming island has a higher percentage of Hispanic residents at 10%, compared to 2% in Stuttgart.
  • The percentage of residents identifying as two or more races is higher in Fleming island at 7%, compared to 3% in Stuttgart.
  • The percentage of American Indian residents is the same in both Stuttgart and Fleming island at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Stuttgart Fleming island
Mental Health Not Good 19.8% 15.3%
Physical Health Not Good 14.6% 8.8%
Depression 24.4% 19.8%
Smoking 23.1% 16.1%
Binge Drinking 13.6% 17.1%
Obesity 39.7% 31.2%
Disability Percentage 20.0% 11.0%

Health Statistics Comparison: Stuttgart vs Fleming island

  • More residents in Stuttgart report poor mental health at 19.8% compared to 15.3% in Fleming island.
  • Depression is more prevalent in Stuttgart at 24.4% compared to 19.8% in Fleming island.
  • Smoking is more prevalent in Stuttgart at 23.1% compared to 16.1% in Fleming island.
  • More residents engage in binge drinking in Fleming island at 17.1% compared to 13.6% in Stuttgart.
  • Obesity rates are higher in Stuttgart at 39.7% compared to 31.2% in Fleming island.
  • Disability percentages are higher in Stuttgart at 20.0% compared to 11.0% in Fleming island.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Stuttgart Fleming island
No Schooling 0.8% (63) 0.4% (127)
High School Diploma 25.5% (2,015) 11.3% (3,358)
Less than High School 14.5% (1,144) 3.4% (1,017)
Bachelor's Degree and Higher 12.0% (948) 34.9% (10,407)

Education Levels Comparison: Stuttgart vs Fleming island

  • A higher percentage of residents in Stuttgart have no formal schooling at 0.8% compared to 0.4% in Fleming island.
  • A higher percentage of residents in Stuttgart hold a high school diploma at 25.5% compared to 11.3% in Fleming island.
  • More residents in Stuttgart have less than a high school education at 14.5% compared to 3.4% in Fleming island.
  • In Fleming island, a larger share of residents have a bachelor's degree or higher at 34.9% compared to 12.0% in Stuttgart.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.