Demographics details for Waterproof, LA vs Bonita springs, FL

Population Overview

Compare main population characteristics in Waterproof, LA vs Bonita springs, FL.

Data Waterproof Bonita springs
Population 499 56,370
Median Age 37.0 years 60.2 years
Median Income $21,953 $84,668
Married Families 9.0% 54.0%
Poverty Level 30% 8%
Unemployment Rate 5.0 3.1

Population Comparison: Waterproof vs Bonita springs

  • The population in Bonita springs is higher at 56,370, compared to 499 in Waterproof.
  • The median age in Bonita springs is higher at 60.2 years, compared to 37.0 years in Waterproof.
  • Bonita springs has a higher median income of $84,668, compared to $21,953 in Waterproof.
  • In Bonita springs, the percentage of married families is higher at 54.0%, compared to 9.0% in Waterproof.
  • Waterproof has a higher poverty level at 30% compared to 8% in Bonita springs.
  • The unemployment rate in Waterproof is higher at 5.0%, compared to 3.1% in Bonita springs.

Demographics

Demographics Waterproof vs Bonita springs provide insight into the diversity of the communities to compare.

Demographic Waterproof Bonita springs
Black 103 2
White -12 68
Asian 7 1
Hispanic Data is updating 21
Two or More Races 2 8
American Indian Data is updating Data is updating

Demographics Comparison: Waterproof vs Bonita springs

  • A higher percentage of Black residents are in Waterproof at 103% compared to 2% in Bonita springs.
  • The percentage of White residents is higher in Bonita springs at 68% compared to -12% in Waterproof.
  • The Asian population is larger in Waterproof at 7% compared to 1% in Bonita springs.
  • Bonita springs has a higher percentage of Hispanic residents at 21%, compared to 0% in Waterproof.
  • The percentage of residents identifying as two or more races is higher in Bonita springs at 8%, compared to 2% in Waterproof.
  • The percentage of American Indian residents is the same in both Waterproof and Bonita springs at 0%.

Health Statistics

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

Health Metric Waterproof Bonita springs
Mental Health Not Good 24.5% 14.4%
Physical Health Not Good 20.0% 9.7%
Depression 25.1% 17.7%
Smoking 33.7% 16.1%
Binge Drinking 11.8% 18.1%
Obesity 53.1% 26.1%
Disability Percentage 22.0% 12.0%

Health Statistics Comparison: Waterproof vs Bonita springs

  • More residents in Waterproof report poor mental health at 24.5% compared to 14.4% in Bonita springs.
  • Depression is more prevalent in Waterproof at 25.1% compared to 17.7% in Bonita springs.
  • Smoking is more prevalent in Waterproof at 33.7% compared to 16.1% in Bonita springs.
  • More residents engage in binge drinking in Bonita springs at 18.1% compared to 11.8% in Waterproof.
  • Obesity rates are higher in Waterproof at 53.1% compared to 26.1% in Bonita springs.
  • Disability percentages are higher in Waterproof at 22.0% compared to 12.0% in Bonita springs.

Education Levels

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

Education Level Waterproof Bonita springs
No Schooling 0.0% (Data is updating) 1.4% (810)
High School Diploma 27.7% (138) 14.9% (8,384)
Less than High School 10.6% (53) 15.7% (8,845)
Bachelor's Degree and Higher 12.8% (64) 33.1% (18,684)

Education Levels Comparison: Waterproof vs Bonita springs

  • In Bonita springs, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Waterproof.
  • A higher percentage of residents in Waterproof hold a high school diploma at 27.7% compared to 14.9% in Bonita springs.
  • The percentage of residents with less than a high school education is higher in Bonita springs at 15.7%, compared to 10.6% in Waterproof.
  • In Bonita springs, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 12.8% in Waterproof.

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.