Demographics details for Gray, ME vs Avon by the sea, NJ
Population Overview
Compare main population characteristics in Gray, ME vs Avon by the sea, NJ.
| Data | Gray | Avon by the sea |
|---|---|---|
| Population | 7,761 | 1,940 |
| Median Age | 43.0 years | 56.2 years |
| Median Income | $81,712 | $106,563 |
| Married Families | 60.0% | 44.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 2.1 | 4.2 |
Population Comparison: Gray vs Avon by the sea
- In Gray, the population is higher at 7,761, compared to 1,940 in Avon by the sea.
- The median age in Avon by the sea is higher at 56.2 years, compared to 43.0 years in Gray.
- Avon by the sea has a higher median income of $106,563, compared to $81,712 in Gray.
- A higher percentage of married families is found in Gray at 60.0% compared to 44.0% in Avon by the sea.
- Gray has a higher poverty level at 5% compared to 0% in Avon by the sea.
- Avon by the sea has a higher unemployment rate at 4.2% compared to 2.1% in Gray.
Demographics
Demographics Gray vs Avon by the sea provide insight into the diversity of the communities to compare.
| Demographic | Gray | Avon by the sea |
|---|---|---|
| Black | 1 | 1 |
| White | 95 | 88 |
| Asian | 1 | 1 |
| Hispanic | 3 | 6 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gray vs Avon by the sea
- The percentage of Black residents is the same in both Gray and Avon by the sea at 1%.
- Gray has a higher percentage of White residents at 95% compared to 88% in Avon by the sea.
- Both Gray and Avon by the sea have the same percentage of Asian residents at 1%.
- Avon by the sea has a higher percentage of Hispanic residents at 6%, compared to 3% in Gray.
- The percentage of residents identifying as two or more races is higher in Avon by the sea at 4%, compared to 2% in Gray.
- The percentage of American Indian residents is the same in both Gray and Avon by the sea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gray | Avon by the sea |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.7% |
| Physical Health Not Good | Data is updating% | 7.7% |
| Depression | Data is updating% | 20.3% |
| Smoking | Data is updating% | 9.9% |
| Binge Drinking | Data is updating% | 19.5% |
| Obesity | Data is updating% | 25.6% |
| Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Gray vs Avon by the sea
- In Avon by the sea, a higher percentage report poor mental health at 13.7% compared to 0.0% in Gray.
- Higher depression rates are seen in Avon by the sea at 20.3% versus 0.0% in Gray.
- Avon by the sea has a higher smoking rate at 9.9% compared to 0.0% in Gray.
- More residents engage in binge drinking in Avon by the sea at 19.5% compared to 0.0% in Gray.
- Avon by the sea has higher obesity rates at 25.6% compared to 0.0% in Gray.
- There is a higher percentage of disabled individuals in Avon by the sea at 10.0% compared to 0.0% in Gray.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gray | Avon by the sea |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (6) |
| High School Diploma | 0.0% (Data is updating) | 9.7% (188) |
| Less than High School | 0.0% (Data is updating) | 3.5% (67) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 52.3% (1,014) |
Education Levels Comparison: Gray 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 Gray.
- In Avon by the sea, the rate of residents with high school diplomas is higher at 9.7% compared to 0.0% in Gray.
- The percentage of residents with less than a high school education is higher in Avon by the sea at 3.5%, compared to 0.0% in Gray.
- In Avon by the sea, a larger share of residents have a bachelor's degree or higher at 52.3% compared to 0.0% in Gray.
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.