Demographics details for Bonifay, FL vs White swan, WA

Population Overview

Compare main population characteristics in Bonifay, FL vs White swan, WA.

Data Bonifay White swan
Population 2,787 561
Median Age 45.1 years 24.5 years
Median Income $32,750 $51,667
Married Families 26.0% 13.0%
Poverty Level 12% 12%
Unemployment Rate 4.5 8.2

Population Comparison: Bonifay vs White swan

  • In Bonifay, the population is higher at 2,787, compared to 561 in White swan.
  • Residents in Bonifay have a higher median age of 45.1 years compared to 24.5 years in White swan.
  • White swan has a higher median income of $51,667, compared to $32,750 in Bonifay.
  • A higher percentage of married families is found in Bonifay at 26.0% compared to 13.0% in White swan.
  • The poverty level is identical in both Bonifay and White swan at 12%.
  • White swan has a higher unemployment rate at 8.2% compared to 4.5% in Bonifay.

Demographics

Demographics Bonifay vs White swan provide insight into the diversity of the communities to compare.

Demographic Bonifay White swan
Black 15 Data is updating
White 73 -6
Asian Data is updating Data is updating
Hispanic 2 26
Two or More Races 9 10
American Indian 1 70

Demographics Comparison: Bonifay vs White swan

  • A higher percentage of Black residents are in Bonifay at 15% compared to 0% in White swan.
  • Bonifay has a higher percentage of White residents at 73% compared to -6% in White swan.
  • Both Bonifay and White swan have the same percentage of Asian residents at 0%.
  • White swan has a higher percentage of Hispanic residents at 26%, compared to 2% in Bonifay.
  • The percentage of residents identifying as two or more races is higher in White swan at 10%, compared to 9% in Bonifay.
  • In White swan, the percentage of American Indian residents is higher at 70%, compared to 1% in Bonifay.

Health Statistics

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

Health Metric Bonifay White swan
Mental Health Not Good 20.2% 22.0%
Physical Health Not Good 16.0% 18.1%
Depression 24.3% 24.7%
Smoking 28.3% 26.0%
Binge Drinking 15.3% 15.8%
Obesity 37.1% 43.8%
Disability Percentage 20.0% 21.0%

Health Statistics Comparison: Bonifay vs White swan

  • In White swan, a higher percentage report poor mental health at 22.0% compared to 20.2% in Bonifay.
  • Higher depression rates are seen in White swan at 24.7% versus 24.3% in Bonifay.
  • Smoking is more prevalent in Bonifay at 28.3% compared to 26.0% in White swan.
  • More residents engage in binge drinking in White swan at 15.8% compared to 15.3% in Bonifay.
  • White swan has higher obesity rates at 43.8% compared to 37.1% in Bonifay.
  • There is a higher percentage of disabled individuals in White swan at 21.0% compared to 20.0% in Bonifay.

Education Levels

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

Education Level Bonifay White swan
No Schooling 0.2% (5) 0.0% (Data is updating)
High School Diploma 24.7% (688) 16.4% (92)
Less than High School 18.1% (505) 24.8% (139)
Bachelor's Degree and Higher 8.2% (229) 0.9% (5)

Education Levels Comparison: Bonifay vs White swan

  • A higher percentage of residents in Bonifay have no formal schooling at 0.2% compared to 0.0% in White swan.
  • A higher percentage of residents in Bonifay hold a high school diploma at 24.7% compared to 16.4% in White swan.
  • The percentage of residents with less than a high school education is higher in White swan at 24.8%, compared to 18.1% in Bonifay.
  • A higher percentage of residents in Bonifay hold a bachelor's degree or higher at 8.2% compared to 0.9% in White swan.

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.