Demographics details for Camden, OH vs Avon by the sea, NJ
Population Overview
Compare main population characteristics in Camden, OH vs Avon by the sea, NJ.
| Data | Camden | Avon by the sea |
|---|---|---|
| Population | 1,973 | 1,940 |
| Median Age | 45.1 years | 56.2 years |
| Median Income | $49,667 | $106,563 |
| Married Families | 44.0% | 44.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Camden vs Avon by the sea
- In Camden, the population is higher at 1,973, 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 45.1 years in Camden.
- Avon by the sea has a higher median income of $106,563, compared to $49,667 in Camden.
- The percentage of married families is the same in both Camden and Avon by the sea at 44.0%.
- Camden has a higher poverty level at 12% 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 Camden.
Demographics
Demographics Camden vs Avon by the sea provide insight into the diversity of the communities to compare.
| Demographic | Camden | Avon by the sea |
|---|---|---|
| Black | 1 | 1 |
| White | 98 | 88 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 6 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Camden vs Avon by the sea
- The percentage of Black residents is the same in both Camden and Avon by the sea at 1%.
- Camden has a higher percentage of White residents at 98% compared to 88% in Avon by the sea.
- In Avon by the sea, the Asian population stands at 1%, greater than 0% in Camden.
- Avon by the sea has a higher percentage of Hispanic residents at 6%, compared to 0% in Camden.
- The percentage of residents identifying as two or more races is higher in Avon by the sea at 4%, compared to 1% in Camden.
- The percentage of American Indian residents is the same in both Camden and Avon by the sea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Camden | Avon by the sea |
|---|---|---|
| Mental Health Not Good | 18.5% | 13.7% |
| Physical Health Not Good | 12.7% | 7.7% |
| Depression | 24.3% | 20.3% |
| Smoking | 23.1% | 9.9% |
| Binge Drinking | 18.1% | 19.5% |
| Obesity | 40.9% | 25.6% |
| Disability Percentage | 26.0% | 10.0% |
Health Statistics Comparison: Camden vs Avon by the sea
- More residents in Camden report poor mental health at 18.5% compared to 13.7% in Avon by the sea.
- Depression is more prevalent in Camden at 24.3% compared to 20.3% in Avon by the sea.
- Smoking is more prevalent in Camden at 23.1% 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 18.1% in Camden.
- Obesity rates are higher in Camden at 40.9% compared to 25.6% in Avon by the sea.
- Disability percentages are higher in Camden at 26.0% 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 | Camden | Avon by the sea |
|---|---|---|
| No Schooling | 0.2% (4) | 0.3% (6) |
| High School Diploma | 31.6% (623) | 9.7% (188) |
| Less than High School | 9.1% (179) | 3.5% (67) |
| Bachelor's Degree and Higher | 4.9% (96) | 52.3% (1,014) |
Education Levels Comparison: Camden vs Avon by the sea
- In Avon by the sea, a larger percentage of residents lack formal schooling at 0.3% compared to 0.2% in Camden.
- A higher percentage of residents in Camden hold a high school diploma at 31.6% compared to 9.7% in Avon by the sea.
- More residents in Camden have less than a high school education at 9.1% 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 4.9% in Camden.
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.