Demographics details for Bonita springs, FL vs Sanborn, NY

Population Overview

Compare main population characteristics in Bonita springs, FL vs Sanborn, NY.

Data Bonita springs Sanborn
Population 56,370 1,499
Median Age 60.2 years 35.2 years
Median Income $84,668 $75,109
Married Families 54.0% 34.0%
Poverty Level 8% 9%
Unemployment Rate 3.1 4.5

Population Comparison: Bonita springs vs Sanborn

  • In Bonita springs, the population is higher at 56,370, compared to 1,499 in Sanborn.
  • Residents in Bonita springs have a higher median age of 60.2 years compared to 35.2 years in Sanborn.
  • Bonita springs has a higher median income of $84,668 compared to $75,109 in Sanborn.
  • A higher percentage of married families is found in Bonita springs at 54.0% compared to 34.0% in Sanborn.
  • The poverty level is higher in Sanborn at 9%, compared to 8% in Bonita springs.
  • Sanborn has a higher unemployment rate at 4.5% compared to 3.1% in Bonita springs.

Demographics

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

Demographic Bonita springs Sanborn
Black 2 1
White 68 94
Asian 1 Data is updating
Hispanic 21 1
Two or More Races 8 4
American Indian Data is updating Data is updating

Demographics Comparison: Bonita springs vs Sanborn

  • A higher percentage of Black residents are in Bonita springs at 2% compared to 1% in Sanborn.
  • The percentage of White residents is higher in Sanborn at 94% compared to 68% in Bonita springs.
  • The Asian population is larger in Bonita springs at 1% compared to 0% in Sanborn.
  • The Hispanic community is larger in Bonita springs at 21% compared to 1% in Sanborn.
  • More residents identify as two or more races in Bonita springs at 8% compared to 4% in Sanborn.
  • The percentage of American Indian residents is the same in both Bonita springs and Sanborn at 0%.

Health Statistics

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

Health Metric Bonita springs Sanborn
Mental Health Not Good 14.4% 15.5%
Physical Health Not Good 9.7% 9.4%
Depression 17.7% 24.9%
Smoking 16.1% 17.7%
Binge Drinking 18.1% 20.0%
Obesity 26.1% 32.9%
Disability Percentage 12.0% 9.0%

Health Statistics Comparison: Bonita springs vs Sanborn

  • In Sanborn, a higher percentage report poor mental health at 15.5% compared to 14.4% in Bonita springs.
  • Higher depression rates are seen in Sanborn at 24.9% versus 17.7% in Bonita springs.
  • Sanborn has a higher smoking rate at 17.7% compared to 16.1% in Bonita springs.
  • More residents engage in binge drinking in Sanborn at 20.0% compared to 18.1% in Bonita springs.
  • Sanborn has higher obesity rates at 32.9% compared to 26.1% in Bonita springs.
  • Disability percentages are higher in Bonita springs at 12.0% compared to 9.0% in Sanborn.

Education Levels

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

Education Level Bonita springs Sanborn
No Schooling 1.4% (810) 3.9% (58)
High School Diploma 14.9% (8,384) 19.6% (294)
Less than High School 15.7% (8,845) 16.0% (240)
Bachelor's Degree and Higher 33.1% (18,684) 13.9% (209)

Education Levels Comparison: Bonita springs vs Sanborn

  • In Sanborn, a larger percentage of residents lack formal schooling at 3.9% compared to 1.4% in Bonita springs.
  • In Sanborn, the rate of residents with high school diplomas is higher at 19.6% compared to 14.9% in Bonita springs.
  • The percentage of residents with less than a high school education is higher in Sanborn at 16.0%, compared to 15.7% in Bonita springs.
  • A higher percentage of residents in Bonita springs hold a bachelor's degree or higher at 33.1% compared to 13.9% in Sanborn.

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.