Demographics details for Southold, NY vs Bonita springs, FL

Population Overview

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

Data Southold Bonita springs
Population 22,125 56,370
Median Age 47.0 years 60.2 years
Median Income $92,839 $84,668
Married Families 65.0% 54.0%
Poverty Level 5% 8%
Unemployment Rate 3.0 3.1

Population Comparison: Southold vs Bonita springs

  • The population in Bonita springs is higher at 56,370, compared to 22,125 in Southold.
  • The median age in Bonita springs is higher at 60.2 years, compared to 47.0 years in Southold.
  • Southold has a higher median income of $92,839 compared to $84,668 in Bonita springs.
  • A higher percentage of married families is found in Southold at 65.0% compared to 54.0% in Bonita springs.
  • The poverty level is higher in Bonita springs at 8%, compared to 5% in Southold.
  • Bonita springs has a higher unemployment rate at 3.1% compared to 3.0% in Southold.

Demographics

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

Demographic Southold Bonita springs
Black 2 2
White 90 68
Asian 1 1
Hispanic 5 21
Two or More Races 2 8
American Indian Data is updating Data is updating

Demographics Comparison: Southold vs Bonita springs

  • The percentage of Black residents is the same in both Southold and Bonita springs at 2%.
  • Southold has a higher percentage of White residents at 90% compared to 68% in Bonita springs.
  • Both Southold and Bonita springs have the same percentage of Asian residents at 1%.
  • Bonita springs has a higher percentage of Hispanic residents at 21%, compared to 5% in Southold.
  • The percentage of residents identifying as two or more races is higher in Bonita springs at 8%, compared to 2% in Southold.
  • The percentage of American Indian residents is the same in both Southold and Bonita springs at 0%.

Health Statistics

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

Health Metric Southold Bonita springs
Mental Health Not Good Data is updating% 14.4%
Physical Health Not Good Data is updating% 9.7%
Depression Data is updating% 17.7%
Smoking Data is updating% 16.1%
Binge Drinking Data is updating% 18.1%
Obesity Data is updating% 26.1%
Disability Percentage Data is updating% 12.0%

Health Statistics Comparison: Southold vs Bonita springs

  • In Bonita springs, a higher percentage report poor mental health at 14.4% compared to 0.0% in Southold.
  • Higher depression rates are seen in Bonita springs at 17.7% versus 0.0% in Southold.
  • Bonita springs has a higher smoking rate at 16.1% compared to 0.0% in Southold.
  • More residents engage in binge drinking in Bonita springs at 18.1% compared to 0.0% in Southold.
  • Bonita springs has higher obesity rates at 26.1% compared to 0.0% in Southold.
  • There is a higher percentage of disabled individuals in Bonita springs at 12.0% compared to 0.0% in Southold.

Education Levels

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

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

Education Levels Comparison: Southold vs Bonita springs

  • In Bonita springs, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Southold.
  • In Bonita springs, the rate of residents with high school diplomas is higher at 14.9% compared to 0.0% in Southold.
  • The percentage of residents with less than a high school education is higher in Bonita springs at 15.7%, compared to 0.0% in Southold.
  • In Bonita springs, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 0.0% in Southold.

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.