Demographics details for Forest city, NC vs Raven, VA
Population Overview
Compare main population characteristics in Forest city, NC vs Raven, VA.
| Data | Forest city | Raven |
|---|---|---|
| Population | 7,358 | 2,065 |
| Median Age | 32.8 years | 46.2 years |
| Median Income | $35,232 | $36,613 |
| Married Families | 21.0% | 31.0% |
| Poverty Level | 11% | 15% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Forest city vs Raven
- In Forest city, the population is higher at 7,358, compared to 2,065 in Raven.
- The median age in Raven is higher at 46.2 years, compared to 32.8 years in Forest city.
- Raven has a higher median income of $36,613, compared to $35,232 in Forest city.
- In Raven, the percentage of married families is higher at 31.0%, compared to 21.0% in Forest city.
- The poverty level is higher in Raven at 15%, compared to 11% in Forest city.
- The unemployment rate is the same in both Forest city and Raven at 4.5%.
Demographics
Demographics Forest city vs Raven provide insight into the diversity of the communities to compare.
| Demographic | Forest city | Raven |
|---|---|---|
| Black | 28 | Data is updating |
| White | 57 | 99 |
| Asian | 2 | Data is updating |
| Hispanic | 8 | Data is updating |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest city vs Raven
- A higher percentage of Black residents are in Forest city at 28% compared to 0% in Raven.
- The percentage of White residents is higher in Raven at 99% compared to 57% in Forest city.
- The Asian population is larger in Forest city at 2% compared to 0% in Raven.
- The Hispanic community is larger in Forest city at 8% compared to 0% in Raven.
- More residents identify as two or more races in Forest city at 5% compared to 1% in Raven.
- The percentage of American Indian residents is the same in both Forest city and Raven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest city | Raven |
|---|---|---|
| Mental Health Not Good | 19.0% | 22.5% |
| Physical Health Not Good | 14.4% | 16.7% |
| Depression | 24.4% | 30.4% |
| Smoking | 22.1% | 27.3% |
| Binge Drinking | 15.2% | 16.2% |
| Obesity | 41.2% | 40.3% |
| Disability Percentage | 23.0% | 26.0% |
Health Statistics Comparison: Forest city vs Raven
- In Raven, a higher percentage report poor mental health at 22.5% compared to 19.0% in Forest city.
- Higher depression rates are seen in Raven at 30.4% versus 24.4% in Forest city.
- Raven has a higher smoking rate at 27.3% compared to 22.1% in Forest city.
- More residents engage in binge drinking in Raven at 16.2% compared to 15.2% in Forest city.
- Obesity rates are higher in Forest city at 41.2% compared to 40.3% in Raven.
- There is a higher percentage of disabled individuals in Raven at 26.0% compared to 23.0% in Forest city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest city | Raven |
|---|---|---|
| No Schooling | 0.9% (63) | 0.5% (11) |
| High School Diploma | 15.5% (1,140) | 18.8% (388) |
| Less than High School | 13.0% (956) | 22.5% (464) |
| Bachelor's Degree and Higher | 10.7% (785) | 10.1% (208) |
Education Levels Comparison: Forest city vs Raven
- A higher percentage of residents in Forest city have no formal schooling at 0.9% compared to 0.5% in Raven.
- In Raven, the rate of residents with high school diplomas is higher at 18.8% compared to 15.5% in Forest city.
- The percentage of residents with less than a high school education is higher in Raven at 22.5%, compared to 13.0% in Forest city.
- A higher percentage of residents in Forest city hold a bachelor's degree or higher at 10.7% 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.