Demographics details for Raven, VA vs Haddon heights, NJ
Population Overview
Compare main population characteristics in Raven, VA vs Haddon heights, NJ.
| Data | Raven | Haddon heights |
|---|---|---|
| Population | 2,065 | 7,484 |
| Median Age | 46.2 years | 39.1 years |
| Median Income | $36,613 | $117,556 |
| Married Families | 31.0% | 44.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Raven vs Haddon heights
- The population in Haddon heights is higher at 7,484, compared to 2,065 in Raven.
- Residents in Raven have a higher median age of 46.2 years compared to 39.1 years in Haddon heights.
- Haddon heights has a higher median income of $117,556, compared to $36,613 in Raven.
- In Haddon heights, the percentage of married families is higher at 44.0%, compared to 31.0% in Raven.
- Raven has a higher poverty level at 15% compared to 5% in Haddon heights.
- The unemployment rate in Raven is higher at 4.5%, compared to 3.5% in Haddon heights.
Demographics
Demographics Raven vs Haddon heights provide insight into the diversity of the communities to compare.
| Demographic | Raven | Haddon heights |
|---|---|---|
| Black | Data is updating | 2 |
| White | 99 | 92 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 3 |
| Two or More Races | 1 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Raven vs Haddon heights
- In Haddon heights, the percentage of Black residents is higher at 2% compared to 0% in Raven.
- Raven has a higher percentage of White residents at 99% compared to 92% in Haddon heights.
- In Haddon heights, the Asian population stands at 1%, greater than 0% in Raven.
- Haddon heights has a higher percentage of Hispanic residents at 3%, compared to 0% in Raven.
- The percentage of residents identifying as two or more races is higher in Haddon heights at 2%, compared to 1% in Raven.
- The percentage of American Indian residents is the same in both Raven and Haddon heights at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Raven | Haddon heights |
|---|---|---|
| Mental Health Not Good | 22.5% | 14.5% |
| Physical Health Not Good | 16.7% | 8.5% |
| Depression | 30.4% | 23.0% |
| Smoking | 27.3% | 11.8% |
| Binge Drinking | 16.2% | 20.3% |
| Obesity | 40.3% | 26.1% |
| Disability Percentage | 26.0% | 12.0% |
Health Statistics Comparison: Raven vs Haddon heights
- More residents in Raven report poor mental health at 22.5% compared to 14.5% in Haddon heights.
- Depression is more prevalent in Raven at 30.4% compared to 23.0% in Haddon heights.
- Smoking is more prevalent in Raven at 27.3% compared to 11.8% in Haddon heights.
- More residents engage in binge drinking in Haddon heights at 20.3% compared to 16.2% in Raven.
- Obesity rates are higher in Raven at 40.3% compared to 26.1% in Haddon heights.
- Disability percentages are higher in Raven at 26.0% compared to 12.0% in Haddon heights.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Raven | Haddon heights |
|---|---|---|
| No Schooling | 0.5% (11) | 0.9% (70) |
| High School Diploma | 18.8% (388) | 11.3% (843) |
| Less than High School | 22.5% (464) | 5.5% (409) |
| Bachelor's Degree and Higher | 10.1% (208) | 38.3% (2,863) |
Education Levels Comparison: Raven vs Haddon heights
- In Haddon heights, a larger percentage of residents lack formal schooling at 0.9% compared to 0.5% in Raven.
- A higher percentage of residents in Raven hold a high school diploma at 18.8% compared to 11.3% in Haddon heights.
- More residents in Raven have less than a high school education at 22.5% compared to 5.5% in Haddon heights.
- In Haddon heights, a larger share of residents have a bachelor's degree or higher at 38.3% compared to 10.1% in Raven.
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.