Demographics details for Fleming island, FL vs Conneaut, OH

Population Overview

Compare main population characteristics in Fleming island, FL vs Conneaut, OH.

Data Fleming island Conneaut
Population 29,810 12,400
Median Age 47.0 years 40.0 years
Median Income $117,414 $55,708
Married Families 57.0% 31.0%
Poverty Level 5% 10%
Unemployment Rate 2.5 5.0

Population Comparison: Fleming island vs Conneaut

  • In Fleming island, the population is higher at 29,810, compared to 12,400 in Conneaut.
  • Residents in Fleming island have a higher median age of 47.0 years compared to 40.0 years in Conneaut.
  • Fleming island has a higher median income of $117,414 compared to $55,708 in Conneaut.
  • A higher percentage of married families is found in Fleming island at 57.0% compared to 31.0% in Conneaut.
  • The poverty level is higher in Conneaut at 10%, compared to 5% in Fleming island.
  • Conneaut has a higher unemployment rate at 5.0% compared to 2.5% in Fleming island.

Demographics

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

Demographic Fleming island Conneaut
Black 6 7
White 75 86
Asian 2 1
Hispanic 10 2
Two or More Races 7 4
American Indian Data is updating Data is updating

Demographics Comparison: Fleming island vs Conneaut

  • In Conneaut, the percentage of Black residents is higher at 7% compared to 6% in Fleming island.
  • The percentage of White residents is higher in Conneaut at 86% compared to 75% in Fleming island.
  • The Asian population is larger in Fleming island at 2% compared to 1% in Conneaut.
  • The Hispanic community is larger in Fleming island at 10% compared to 2% in Conneaut.
  • More residents identify as two or more races in Fleming island at 7% compared to 4% in Conneaut.
  • The percentage of American Indian residents is the same in both Fleming island and Conneaut at 0%.

Health Statistics

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

Health Metric Fleming island Conneaut
Mental Health Not Good 15.3% 18.4%
Physical Health Not Good 8.8% 14.1%
Depression 19.8% 25.4%
Smoking 16.1% 27.0%
Binge Drinking 17.1% 18.4%
Obesity 31.2% 45.5%
Disability Percentage 11.0% 17.0%

Health Statistics Comparison: Fleming island vs Conneaut

  • In Conneaut, a higher percentage report poor mental health at 18.4% compared to 15.3% in Fleming island.
  • Higher depression rates are seen in Conneaut at 25.4% versus 19.8% in Fleming island.
  • Conneaut has a higher smoking rate at 27.0% compared to 16.1% in Fleming island.
  • More residents engage in binge drinking in Conneaut at 18.4% compared to 17.1% in Fleming island.
  • Conneaut has higher obesity rates at 45.5% compared to 31.2% in Fleming island.
  • There is a higher percentage of disabled individuals in Conneaut at 17.0% 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 Fleming island Conneaut
No Schooling 0.4% (127) 0.4% (50)
High School Diploma 11.3% (3,358) 26.8% (3,319)
Less than High School 3.4% (1,017) 17.4% (2,157)
Bachelor's Degree and Higher 34.9% (10,407) 11.4% (1,411)

Education Levels Comparison: Fleming island vs Conneaut

  • The percentage of residents with no formal schooling is the same in both Fleming island and Conneaut at 0.4%.
  • In Conneaut, the rate of residents with high school diplomas is higher at 26.8% compared to 11.3% in Fleming island.
  • The percentage of residents with less than a high school education is higher in Conneaut at 17.4%, compared to 3.4% in Fleming island.
  • A higher percentage of residents in Fleming island hold a bachelor's degree or higher at 34.9% compared to 11.4% in Conneaut.

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.