Demographics details for Molino, FL vs Boones mill, VA
Population Overview
Compare main population characteristics in Molino, FL vs Boones mill, VA.
| Data | Molino | Boones mill |
|---|---|---|
| Population | 1,253 | 258 |
| Median Age | 35.9 years | 52.4 years |
| Median Income | $87,614 | $67,083 |
| Married Families | 50.0% | 37.0% |
| Poverty Level | 13% | 8% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Molino vs Boones mill
- In Molino, the population is higher at 1,253, compared to 258 in Boones mill.
- The median age in Boones mill is higher at 52.4 years, compared to 35.9 years in Molino.
- Molino has a higher median income of $87,614 compared to $67,083 in Boones mill.
- A higher percentage of married families is found in Molino at 50.0% compared to 37.0% in Boones mill.
- Molino has a higher poverty level at 13% compared to 8% in Boones mill.
- The unemployment rate is the same in both Molino and Boones mill at 3.5%.
Demographics
Demographics Molino vs Boones mill provide insight into the diversity of the communities to compare.
| Demographic | Molino | Boones mill |
|---|---|---|
| Black | 13 | 2 |
| White | 54 | 96 |
| Asian | Data is updating | Data is updating |
| Hispanic | 12 | Data is updating |
| Two or More Races | 20 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Molino vs Boones mill
- A higher percentage of Black residents are in Molino at 13% compared to 2% in Boones mill.
- The percentage of White residents is higher in Boones mill at 96% compared to 54% in Molino.
- Both Molino and Boones mill have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Molino at 12% compared to 0% in Boones mill.
- More residents identify as two or more races in Molino at 20% compared to 2% in Boones mill.
- A greater percentage of American Indian residents live in Molino at 1% compared to 0% in Boones mill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Molino | Boones mill |
|---|---|---|
| Mental Health Not Good | 17.1% | 17.6% |
| Physical Health Not Good | 11.5% | 11.6% |
| Depression | 22.4% | 24.8% |
| Smoking | 21.3% | 18.3% |
| Binge Drinking | 15.8% | 18.0% |
| Obesity | 34.8% | 35.6% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Molino vs Boones mill
- In Boones mill, a higher percentage report poor mental health at 17.6% compared to 17.1% in Molino.
- Higher depression rates are seen in Boones mill at 24.8% versus 22.4% in Molino.
- Smoking is more prevalent in Molino at 21.3% compared to 18.3% in Boones mill.
- More residents engage in binge drinking in Boones mill at 18.0% compared to 15.8% in Molino.
- Boones mill has higher obesity rates at 35.6% compared to 34.8% in Molino.
- Disability percentages are higher in Molino at 12.0% compared to 11.0% in Boones mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Molino | Boones mill |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.3% (6) |
| High School Diploma | 21.4% (268) | 11.2% (29) |
| Less than High School | 6.7% (84) | 20.2% (52) |
| Bachelor's Degree and Higher | 11.7% (147) | 20.5% (53) |
Education Levels Comparison: Molino vs Boones mill
- In Boones mill, a larger percentage of residents lack formal schooling at 2.3% compared to 0.0% in Molino.
- A higher percentage of residents in Molino hold a high school diploma at 21.4% compared to 11.2% in Boones mill.
- The percentage of residents with less than a high school education is higher in Boones mill at 20.2%, compared to 6.7% in Molino.
- In Boones mill, a larger share of residents have a bachelor's degree or higher at 20.5% compared to 11.7% in Molino.
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.