Demographics details for Forest city, NC vs Crescent, PA
Population Overview
Compare main population characteristics in Forest city, NC vs Crescent, PA.
| Data | Forest city | Crescent |
|---|---|---|
| Population | 7,358 | 2,455 |
| Median Age | 32.8 years | 50.8 years |
| Median Income | $35,232 | $76,116 |
| Married Families | 21.0% | 49.0% |
| Poverty Level | 11% | 4% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Forest city vs Crescent
- In Forest city, the population is higher at 7,358, compared to 2,455 in Crescent.
- The median age in Crescent is higher at 50.8 years, compared to 32.8 years in Forest city.
- Crescent has a higher median income of $76,116, compared to $35,232 in Forest city.
- In Crescent, the percentage of married families is higher at 49.0%, compared to 21.0% in Forest city.
- Forest city has a higher poverty level at 11% compared to 4% in Crescent.
- The unemployment rate in Forest city is higher at 4.5%, compared to 3.5% in Crescent.
Demographics
Demographics Forest city vs Crescent provide insight into the diversity of the communities to compare.
| Demographic | Forest city | Crescent |
|---|---|---|
| Black | 28 | 1 |
| White | 57 | 92 |
| Asian | 2 | 3 |
| Hispanic | 8 | 3 |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest city vs Crescent
- A higher percentage of Black residents are in Forest city at 28% compared to 1% in Crescent.
- The percentage of White residents is higher in Crescent at 92% compared to 57% in Forest city.
- In Crescent, the Asian population stands at 3%, greater than 2% in Forest city.
- The Hispanic community is larger in Forest city at 8% compared to 3% in Crescent.
- More residents identify as two or more races in Forest city at 5% compared to 1% in Crescent.
- The percentage of American Indian residents is the same in both Forest city and Crescent at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest city | Crescent |
|---|---|---|
| Mental Health Not Good | 19.0% | Data is updating% |
| Physical Health Not Good | 14.4% | Data is updating% |
| Depression | 24.4% | Data is updating% |
| Smoking | 22.1% | Data is updating% |
| Binge Drinking | 15.2% | Data is updating% |
| Obesity | 41.2% | Data is updating% |
| Disability Percentage | 23.0% | 13.0% |
Health Statistics Comparison: Forest city vs Crescent
- More residents in Forest city report poor mental health at 19.0% compared to 0.0% in Crescent.
- Depression is more prevalent in Forest city at 24.4% compared to 0.0% in Crescent.
- Smoking is more prevalent in Forest city at 22.1% compared to 0.0% in Crescent.
- Binge drinking is more common in Forest city at 15.2% compared to 0.0% in Crescent.
- Obesity rates are higher in Forest city at 41.2% compared to 0.0% in Crescent.
- Disability percentages are higher in Forest city at 23.0% compared to 13.0% in Crescent.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest city | Crescent |
|---|---|---|
| No Schooling | 0.9% (63) | 1.1% (27) |
| High School Diploma | 15.5% (1,140) | 18.3% (449) |
| Less than High School | 13.0% (956) | 10.8% (264) |
| Bachelor's Degree and Higher | 10.7% (785) | 19.8% (487) |
Education Levels Comparison: Forest city vs Crescent
- In Crescent, a larger percentage of residents lack formal schooling at 1.1% compared to 0.9% in Forest city.
- In Crescent, the rate of residents with high school diplomas is higher at 18.3% compared to 15.5% in Forest city.
- More residents in Forest city have less than a high school education at 13.0% compared to 10.8% in Crescent.
- In Crescent, a larger share of residents have a bachelor's degree or higher at 19.8% compared to 10.7% in Forest city.
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.