Demographics details for Bonifay, FL vs Everest, KS
Population Overview
Compare main population characteristics in Bonifay, FL vs Everest, KS.
Data | Bonifay | Everest |
---|---|---|
Population | 2,787 | 258 |
Median Age | 45.1 years | 34.5 years |
Median Income | $32,750 | $44,375 |
Married Families | 26.0% | 50.0% |
Poverty Level | 12% | 11% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Bonifay vs Everest
- In Bonifay, the population is higher at 2,787, compared to 258 in Everest.
- Residents in Bonifay have a higher median age of 45.1 years compared to 34.5 years in Everest.
- Everest has a higher median income of $44,375, compared to $32,750 in Bonifay.
- In Everest, the percentage of married families is higher at 50.0%, compared to 26.0% in Bonifay.
- Bonifay has a higher poverty level at 12% compared to 11% in Everest.
- The unemployment rate in Bonifay is higher at 4.5%, compared to 3.5% in Everest.
Demographics
Demographics Bonifay vs Everest provide insight into the diversity of the communities to compare.
Demographic | Bonifay | Everest |
---|---|---|
Black | 15 | 2 |
White | 73 | 90 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 9 | 6 |
American Indian | 1 | 2 |
Demographics Comparison: Bonifay vs Everest
- A higher percentage of Black residents are in Bonifay at 15% compared to 2% in Everest.
- The percentage of White residents is higher in Everest at 90% compared to 73% in Bonifay.
- Both Bonifay and Everest have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bonifay at 2% compared to 0% in Everest.
- More residents identify as two or more races in Bonifay at 9% compared to 6% in Everest.
- In Everest, the percentage of American Indian residents is higher at 2%, compared to 1% in Bonifay.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bonifay | Everest |
---|---|---|
Mental Health Not Good | 20.2% | 17.3% |
Physical Health Not Good | 16.0% | 11.2% |
Depression | 24.3% | 22.4% |
Smoking | 28.3% | 20.4% |
Binge Drinking | 15.3% | 19.1% |
Obesity | 37.1% | 37.8% |
Disability Percentage | 20.0% | 50.0% |
Health Statistics Comparison: Bonifay vs Everest
- More residents in Bonifay report poor mental health at 20.2% compared to 17.3% in Everest.
- Depression is more prevalent in Bonifay at 24.3% compared to 22.4% in Everest.
- Smoking is more prevalent in Bonifay at 28.3% compared to 20.4% in Everest.
- More residents engage in binge drinking in Everest at 19.1% compared to 15.3% in Bonifay.
- Everest has higher obesity rates at 37.8% compared to 37.1% in Bonifay.
- There is a higher percentage of disabled individuals in Everest at 50.0% 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 | Everest |
---|---|---|
No Schooling | 0.2% (5) | 0.0% (Data is updating) |
High School Diploma | 24.7% (688) | 26.4% (68) |
Less than High School | 18.1% (505) | 17.8% (46) |
Bachelor's Degree and Higher | 8.2% (229) | 36.8% (95) |
Education Levels Comparison: Bonifay vs Everest
- A higher percentage of residents in Bonifay have no formal schooling at 0.2% compared to 0.0% in Everest.
- In Everest, the rate of residents with high school diplomas is higher at 26.4% compared to 24.7% in Bonifay.
- More residents in Bonifay have less than a high school education at 18.1% compared to 17.8% in Everest.
- In Everest, a larger share of residents have a bachelor's degree or higher at 36.8% compared to 8.2% in Bonifay.
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.