Demographics details for Villa ridge, MO vs Bunnell, FL
Population Overview
Compare main population characteristics in Villa ridge, MO vs Bunnell, FL.
Data | Villa ridge | Bunnell |
---|---|---|
Population | 2,971 | 3,631 |
Median Age | 35.0 years | 51.4 years |
Median Income | $71,750 | $42,831 |
Married Families | 37.0% | 26.0% |
Poverty Level | 8% | 15% |
Unemployment Rate | 2.5 | 4.1 |
Population Comparison: Villa ridge vs Bunnell
- The population in Bunnell is higher at 3,631, compared to 2,971 in Villa ridge.
- The median age in Bunnell is higher at 51.4 years, compared to 35.0 years in Villa ridge.
- Villa ridge has a higher median income of $71,750 compared to $42,831 in Bunnell.
- A higher percentage of married families is found in Villa ridge at 37.0% compared to 26.0% in Bunnell.
- The poverty level is higher in Bunnell at 15%, compared to 8% in Villa ridge.
- Bunnell has a higher unemployment rate at 4.1% compared to 2.5% in Villa ridge.
Demographics
Demographics Villa ridge vs Bunnell provide insight into the diversity of the communities to compare.
Demographic | Villa ridge | Bunnell |
---|---|---|
Black | 1 | 19 |
White | 92 | 68 |
Asian | Data is updating | 1 |
Hispanic | 4 | 4 |
Two or More Races | 3 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Villa ridge vs Bunnell
- In Bunnell, the percentage of Black residents is higher at 19% compared to 1% in Villa ridge.
- Villa ridge has a higher percentage of White residents at 92% compared to 68% in Bunnell.
- In Bunnell, the Asian population stands at 1%, greater than 0% in Villa ridge.
- The percentage of Hispanic residents is the same in both Villa ridge and Bunnell at 4%.
- The percentage of residents identifying as two or more races is higher in Bunnell at 8%, compared to 3% in Villa ridge.
- The percentage of American Indian residents is the same in both Villa ridge and Bunnell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Villa ridge | Bunnell |
---|---|---|
Mental Health Not Good | 16.3% | 16.7% |
Physical Health Not Good | 10.5% | 11.5% |
Depression | 24.2% | 21.0% |
Smoking | 17.2% | 21.0% |
Binge Drinking | 19.7% | 16.5% |
Obesity | 36.2% | 34.3% |
Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Villa ridge vs Bunnell
- In Bunnell, a higher percentage report poor mental health at 16.7% compared to 16.3% in Villa ridge.
- Depression is more prevalent in Villa ridge at 24.2% compared to 21.0% in Bunnell.
- Bunnell has a higher smoking rate at 21.0% compared to 17.2% in Villa ridge.
- Binge drinking is more common in Villa ridge at 19.7% compared to 16.5% in Bunnell.
- Obesity rates are higher in Villa ridge at 36.2% compared to 34.3% in Bunnell.
- Disability percentages are higher in Villa ridge at 13.0% compared to 9.0% in Bunnell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Villa ridge | Bunnell |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (25) |
High School Diploma | 18.6% (554) | 31.2% (1,134) |
Less than High School | 8.8% (261) | 13.9% (505) |
Bachelor's Degree and Higher | 10.6% (316) | 11.3% (411) |
Education Levels Comparison: Villa ridge vs Bunnell
- In Bunnell, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Villa ridge.
- In Bunnell, the rate of residents with high school diplomas is higher at 31.2% compared to 18.6% in Villa ridge.
- The percentage of residents with less than a high school education is higher in Bunnell at 13.9%, compared to 8.8% in Villa ridge.
- In Bunnell, a larger share of residents have a bachelor's degree or higher at 11.3% compared to 10.6% in Villa ridge.
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.