Demographics details for Molino, FL vs Avon by the sea, NJ
Population Overview
Compare main population characteristics in Molino, FL vs Avon by the sea, NJ.
| Data | Molino | Avon by the sea |
|---|---|---|
| Population | 1,253 | 1,940 |
| Median Age | 35.9 years | 56.2 years |
| Median Income | $87,614 | $106,563 |
| Married Families | 50.0% | 44.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Molino vs Avon by the sea
- The population in Avon by the sea is higher at 1,940, compared to 1,253 in Molino.
- The median age in Avon by the sea is higher at 56.2 years, compared to 35.9 years in Molino.
- Avon by the sea has a higher median income of $106,563, compared to $87,614 in Molino.
- A higher percentage of married families is found in Molino at 50.0% compared to 44.0% in Avon by the sea.
- Molino has a higher poverty level at 13% compared to 0% in Avon by the sea.
- Avon by the sea has a higher unemployment rate at 4.2% compared to 3.5% in Molino.
Demographics
Demographics Molino vs Avon by the sea provide insight into the diversity of the communities to compare.
| Demographic | Molino | Avon by the sea |
|---|---|---|
| Black | 13 | 1 |
| White | 54 | 88 |
| Asian | Data is updating | 1 |
| Hispanic | 12 | 6 |
| Two or More Races | 20 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Molino vs Avon by the sea
- A higher percentage of Black residents are in Molino at 13% compared to 1% in Avon by the sea.
- The percentage of White residents is higher in Avon by the sea at 88% compared to 54% in Molino.
- In Avon by the sea, the Asian population stands at 1%, greater than 0% in Molino.
- The Hispanic community is larger in Molino at 12% compared to 6% in Avon by the sea.
- More residents identify as two or more races in Molino at 20% compared to 4% in Avon by the sea.
- A greater percentage of American Indian residents live in Molino at 1% compared to 0% in Avon by the sea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Molino | Avon by the sea |
|---|---|---|
| Mental Health Not Good | 17.1% | 13.7% |
| Physical Health Not Good | 11.5% | 7.7% |
| Depression | 22.4% | 20.3% |
| Smoking | 21.3% | 9.9% |
| Binge Drinking | 15.8% | 19.5% |
| Obesity | 34.8% | 25.6% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Molino vs Avon by the sea
- More residents in Molino report poor mental health at 17.1% compared to 13.7% in Avon by the sea.
- Depression is more prevalent in Molino at 22.4% compared to 20.3% in Avon by the sea.
- Smoking is more prevalent in Molino at 21.3% compared to 9.9% in Avon by the sea.
- More residents engage in binge drinking in Avon by the sea at 19.5% compared to 15.8% in Molino.
- Obesity rates are higher in Molino at 34.8% compared to 25.6% in Avon by the sea.
- Disability percentages are higher in Molino at 12.0% compared to 10.0% in Avon by the sea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Molino | Avon by the sea |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (6) |
| High School Diploma | 21.4% (268) | 9.7% (188) |
| Less than High School | 6.7% (84) | 3.5% (67) |
| Bachelor's Degree and Higher | 11.7% (147) | 52.3% (1,014) |
Education Levels Comparison: Molino vs Avon by the sea
- In Avon by the sea, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Molino.
- A higher percentage of residents in Molino hold a high school diploma at 21.4% compared to 9.7% in Avon by the sea.
- More residents in Molino have less than a high school education at 6.7% compared to 3.5% in Avon by the sea.
- In Avon by the sea, a larger share of residents have a bachelor's degree or higher at 52.3% 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.