Demographics details for Westby, MT vs Bonita springs, FL

Population Overview

Compare main population characteristics in Westby, MT vs Bonita springs, FL.

Data Westby Bonita springs
Population 167 56,370
Median Age 53.8 years 60.2 years
Median Income $40,625 $84,668
Married Families 39.0% 54.0%
Poverty Level Data is updating 8%
Unemployment Rate 3.5 3.1

Population Comparison: Westby vs Bonita springs

  • The population in Bonita springs is higher at 56,370, compared to 167 in Westby.
  • The median age in Bonita springs is higher at 60.2 years, compared to 53.8 years in Westby.
  • Bonita springs has a higher median income of $84,668, compared to $40,625 in Westby.
  • In Bonita springs, the percentage of married families is higher at 54.0%, compared to 39.0% in Westby.
  • The poverty level is higher in Bonita springs at 8%, compared to 0% in Westby.
  • The unemployment rate in Westby is higher at 3.5%, compared to 3.1% in Bonita springs.

Demographics

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

Demographic Westby Bonita springs
Black Data is updating 2
White 100 68
Asian Data is updating 1
Hispanic Data is updating 21
Two or More Races Data is updating 8
American Indian Data is updating Data is updating

Demographics Comparison: Westby vs Bonita springs

  • In Bonita springs, the percentage of Black residents is higher at 2% compared to 0% in Westby.
  • Westby has a higher percentage of White residents at 100% compared to 68% in Bonita springs.
  • In Bonita springs, the Asian population stands at 1%, greater than 0% in Westby.
  • Bonita springs has a higher percentage of Hispanic residents at 21%, compared to 0% in Westby.
  • The percentage of residents identifying as two or more races is higher in Bonita springs at 8%, compared to 0% in Westby.
  • The percentage of American Indian residents is the same in both Westby and Bonita springs at 0%.

Health Statistics

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

Health Metric Westby Bonita springs
Mental Health Not Good 16.1% 14.4%
Physical Health Not Good 10.8% 9.7%
Depression 23.6% 17.7%
Smoking 17.2% 16.1%
Binge Drinking 22.7% 18.1%
Obesity 33.3% 26.1%
Disability Percentage 10.0% 12.0%

Health Statistics Comparison: Westby vs Bonita springs

  • More residents in Westby report poor mental health at 16.1% compared to 14.4% in Bonita springs.
  • Depression is more prevalent in Westby at 23.6% compared to 17.7% in Bonita springs.
  • Smoking is more prevalent in Westby at 17.2% compared to 16.1% in Bonita springs.
  • Binge drinking is more common in Westby at 22.7% compared to 18.1% in Bonita springs.
  • Obesity rates are higher in Westby at 33.3% compared to 26.1% in Bonita springs.
  • There is a higher percentage of disabled individuals in Bonita springs at 12.0% compared to 10.0% in Westby.

Education Levels

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

Education Level Westby Bonita springs
No Schooling 0.0% (Data is updating) 1.4% (810)
High School Diploma 35.3% (59) 14.9% (8,384)
Less than High School 1.2% (2) 15.7% (8,845)
Bachelor's Degree and Higher 28.1% (47) 33.1% (18,684)

Education Levels Comparison: Westby vs Bonita springs

  • In Bonita springs, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Westby.
  • A higher percentage of residents in Westby hold a high school diploma at 35.3% 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 1.2% in Westby.
  • In Bonita springs, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 28.1% in Westby.

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.