Demographics details for North baltimore, OH vs Raven, VA
Population Overview
Compare main population characteristics in North baltimore, OH vs Raven, VA.
| Data | North baltimore | Raven |
|---|---|---|
| Population | 3,383 | 2,065 |
| Median Age | 37.4 years | 46.2 years |
| Median Income | $55,379 | $36,613 |
| Married Families | 31.0% | 31.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: North baltimore vs Raven
- In North baltimore, the population is higher at 3,383, compared to 2,065 in Raven.
- The median age in Raven is higher at 46.2 years, compared to 37.4 years in North baltimore.
- North baltimore has a higher median income of $55,379 compared to $36,613 in Raven.
- The percentage of married families is the same in both North baltimore and Raven at 31.0%.
- The poverty level is higher in Raven at 15%, compared to 8% in North baltimore.
- Raven has a higher unemployment rate at 4.5% compared to 4.1% in North baltimore.
Demographics
Demographics North baltimore vs Raven provide insight into the diversity of the communities to compare.
| Demographic | North baltimore | Raven |
|---|---|---|
| Black | 4 | Data is updating |
| White | 89 | 99 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 2 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: North baltimore vs Raven
- A higher percentage of Black residents are in North baltimore at 4% compared to 0% in Raven.
- The percentage of White residents is higher in Raven at 99% compared to 89% in North baltimore.
- Both North baltimore and Raven have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in North baltimore at 5% compared to 0% in Raven.
- More residents identify as two or more races in North baltimore at 2% compared to 1% in Raven.
- The percentage of American Indian residents is the same in both North baltimore and Raven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | North baltimore | Raven |
|---|---|---|
| Mental Health Not Good | 18.7% | 22.5% |
| Physical Health Not Good | 12.5% | 16.7% |
| Depression | 26.1% | 30.4% |
| Smoking | 21.8% | 27.3% |
| Binge Drinking | 17.7% | 16.2% |
| Obesity | 42.6% | 40.3% |
| Disability Percentage | 18.0% | 26.0% |
Health Statistics Comparison: North baltimore vs Raven
- In Raven, a higher percentage report poor mental health at 22.5% compared to 18.7% in North baltimore.
- Higher depression rates are seen in Raven at 30.4% versus 26.1% in North baltimore.
- Raven has a higher smoking rate at 27.3% compared to 21.8% in North baltimore.
- Binge drinking is more common in North baltimore at 17.7% compared to 16.2% in Raven.
- Obesity rates are higher in North baltimore at 42.6% compared to 40.3% in Raven.
- There is a higher percentage of disabled individuals in Raven at 26.0% compared to 18.0% in North baltimore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | North baltimore | Raven |
|---|---|---|
| No Schooling | 1.9% (63) | 0.5% (11) |
| High School Diploma | 28.7% (971) | 18.8% (388) |
| Less than High School | 15.8% (533) | 22.5% (464) |
| Bachelor's Degree and Higher | 7.5% (254) | 10.1% (208) |
Education Levels Comparison: North baltimore vs Raven
- A higher percentage of residents in North baltimore have no formal schooling at 1.9% compared to 0.5% in Raven.
- A higher percentage of residents in North baltimore hold a high school diploma at 28.7% compared to 18.8% in Raven.
- The percentage of residents with less than a high school education is higher in Raven at 22.5%, compared to 15.8% in North baltimore.
- In Raven, a larger share of residents have a bachelor's degree or higher at 10.1% compared to 7.5% in North baltimore.
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.