Demographics details for Curwensville, PA vs Forest, MS
Population Overview
Compare main population characteristics in Curwensville, PA vs Forest, MS.
| Data | Curwensville | Forest |
|---|---|---|
| Population | 2,532 | 5,330 |
| Median Age | 38.9 years | 36.4 years |
| Median Income | $46,726 | $50,093 |
| Married Families | 33.0% | 35.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Curwensville vs Forest
- The population in Forest is higher at 5,330, compared to 2,532 in Curwensville.
- Residents in Curwensville have a higher median age of 38.9 years compared to 36.4 years in Forest.
- Forest has a higher median income of $50,093, compared to $46,726 in Curwensville.
- In Forest, the percentage of married families is higher at 35.0%, compared to 33.0% in Curwensville.
- The poverty level is higher in Forest at 18%, compared to 12% in Curwensville.
- Forest has a higher unemployment rate at 4.5% compared to 4.2% in Curwensville.
Demographics
Demographics Curwensville vs Forest provide insight into the diversity of the communities to compare.
| Demographic | Curwensville | Forest |
|---|---|---|
| Black | 1 | 43 |
| White | 95 | 24 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 30 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Curwensville vs Forest
- In Forest, the percentage of Black residents is higher at 43% compared to 1% in Curwensville.
- Curwensville has a higher percentage of White residents at 95% compared to 24% in Forest.
- Both Curwensville and Forest have the same percentage of Asian residents at 0%.
- Forest has a higher percentage of Hispanic residents at 30%, compared to 1% in Curwensville.
- Both Curwensville and Forest have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Curwensville and Forest at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Curwensville | Forest |
|---|---|---|
| Mental Health Not Good | 18.4% | 18.9% |
| Physical Health Not Good | 12.5% | 16.8% |
| Depression | 23.9% | 21.2% |
| Smoking | 21.6% | 26.1% |
| Binge Drinking | 18.4% | 11.8% |
| Obesity | 37.1% | 45.7% |
| Disability Percentage | 18.0% | 20.0% |
Health Statistics Comparison: Curwensville vs Forest
- In Forest, a higher percentage report poor mental health at 18.9% compared to 18.4% in Curwensville.
- Depression is more prevalent in Curwensville at 23.9% compared to 21.2% in Forest.
- Forest has a higher smoking rate at 26.1% compared to 21.6% in Curwensville.
- Binge drinking is more common in Curwensville at 18.4% compared to 11.8% in Forest.
- Forest has higher obesity rates at 45.7% compared to 37.1% in Curwensville.
- There is a higher percentage of disabled individuals in Forest at 20.0% compared to 18.0% in Curwensville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Curwensville | Forest |
|---|---|---|
| No Schooling | 0.5% (12) | 4.4% (232) |
| High School Diploma | 28.4% (720) | 10.5% (557) |
| Less than High School | 10.5% (266) | 33.4% (1,779) |
| Bachelor's Degree and Higher | 17.8% (451) | 8.5% (455) |
Education Levels Comparison: Curwensville vs Forest
- In Forest, a larger percentage of residents lack formal schooling at 4.4% compared to 0.5% in Curwensville.
- A higher percentage of residents in Curwensville hold a high school diploma at 28.4% compared to 10.5% in Forest.
- The percentage of residents with less than a high school education is higher in Forest at 33.4%, compared to 10.5% in Curwensville.
- A higher percentage of residents in Curwensville hold a bachelor's degree or higher at 17.8% compared to 8.5% in Forest.
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.