Demographics details for Millersburg, OH vs Bonifay, FL
Population Overview
Compare main population characteristics in Millersburg, OH vs Bonifay, FL.
Data | Millersburg | Bonifay |
---|---|---|
Population | 3,180 | 2,787 |
Median Age | 38.2 years | 45.1 years |
Median Income | $48,913 | $32,750 |
Married Families | 40.0% | 26.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Millersburg vs Bonifay
- In Millersburg, the population is higher at 3,180, compared to 2,787 in Bonifay.
- The median age in Bonifay is higher at 45.1 years, compared to 38.2 years in Millersburg.
- Millersburg has a higher median income of $48,913 compared to $32,750 in Bonifay.
- A higher percentage of married families is found in Millersburg at 40.0% compared to 26.0% in Bonifay.
- The poverty level is higher in Bonifay at 12%, compared to 10% in Millersburg.
- The unemployment rate is the same in both Millersburg and Bonifay at 4.5%.
Demographics
Demographics Millersburg vs Bonifay provide insight into the diversity of the communities to compare.
Demographic | Millersburg | Bonifay |
---|---|---|
Black | 1 | 15 |
White | 95 | 73 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 2 |
Two or More Races | 4 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: Millersburg vs Bonifay
- In Bonifay, the percentage of Black residents is higher at 15% compared to 1% in Millersburg.
- Millersburg has a higher percentage of White residents at 95% compared to 73% in Bonifay.
- Both Millersburg and Bonifay have the same percentage of Asian residents at 0%.
- Bonifay has a higher percentage of Hispanic residents at 2%, compared to 0% in Millersburg.
- The percentage of residents identifying as two or more races is higher in Bonifay at 9%, compared to 4% in Millersburg.
- In Bonifay, the percentage of American Indian residents is higher at 1%, compared to 0% in Millersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Millersburg | Bonifay |
---|---|---|
Mental Health Not Good | 18.5% | 20.2% |
Physical Health Not Good | 12.5% | 16.0% |
Depression | 24.9% | 24.3% |
Smoking | 22.4% | 28.3% |
Binge Drinking | 18.0% | 15.3% |
Obesity | 39.2% | 37.1% |
Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Millersburg vs Bonifay
- In Bonifay, a higher percentage report poor mental health at 20.2% compared to 18.5% in Millersburg.
- Depression is more prevalent in Millersburg at 24.9% compared to 24.3% in Bonifay.
- Bonifay has a higher smoking rate at 28.3% compared to 22.4% in Millersburg.
- Binge drinking is more common in Millersburg at 18.0% compared to 15.3% in Bonifay.
- Obesity rates are higher in Millersburg at 39.2% compared to 37.1% in Bonifay.
- There is a higher percentage of disabled individuals in Bonifay at 20.0% compared to 13.0% in Millersburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Millersburg | Bonifay |
---|---|---|
No Schooling | 1.4% (46) | 0.2% (5) |
High School Diploma | 25.2% (801) | 24.7% (688) |
Less than High School | 27.2% (864) | 18.1% (505) |
Bachelor's Degree and Higher | 20.3% (644) | 8.2% (229) |
Education Levels Comparison: Millersburg vs Bonifay
- A higher percentage of residents in Millersburg have no formal schooling at 1.4% compared to 0.2% in Bonifay.
- A higher percentage of residents in Millersburg hold a high school diploma at 25.2% compared to 24.7% in Bonifay.
- More residents in Millersburg have less than a high school education at 27.2% compared to 18.1% in Bonifay.
- A higher percentage of residents in Millersburg hold a bachelor's degree or higher at 20.3% 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.