Demographics details for Curwensville, PA vs Columbia, SC
Population Overview
Compare main population characteristics in Curwensville, PA vs Columbia, SC.
| Data | Curwensville | Columbia |
|---|---|---|
| Population | 2,532 | 139,698 |
| Median Age | 38.9 years | 28.3 years |
| Median Income | $46,726 | $54,095 |
| Married Families | 33.0% | 25.0% |
| Poverty Level | 12% | 17% |
| Unemployment Rate | 4.2 | 5.8 |
Population Comparison: Curwensville vs Columbia
- The population in Columbia is higher at 139,698, compared to 2,532 in Curwensville.
- Residents in Curwensville have a higher median age of 38.9 years compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095, compared to $46,726 in Curwensville.
- A higher percentage of married families is found in Curwensville at 33.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 12% in Curwensville.
- Columbia has a higher unemployment rate at 5.8% compared to 4.2% in Curwensville.
Demographics
Demographics Curwensville vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Curwensville | Columbia |
|---|---|---|
| Black | 1 | 40 |
| White | 95 | 48 |
| Asian | Data is updating | 2 |
| Hispanic | 1 | 5 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Curwensville vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 1% in Curwensville.
- Curwensville has a higher percentage of White residents at 95% compared to 48% in Columbia.
- In Columbia, the Asian population stands at 2%, greater than 0% in Curwensville.
- Columbia has a higher percentage of Hispanic residents at 5%, compared to 1% in Curwensville.
- The percentage of residents identifying as two or more races is higher in Columbia at 5%, compared to 3% in Curwensville.
- The percentage of American Indian residents is the same in both Curwensville and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Curwensville | Columbia |
|---|---|---|
| Mental Health Not Good | 18.4% | 18.6% |
| Physical Health Not Good | 12.5% | 13.1% |
| Depression | 23.9% | 20.8% |
| Smoking | 21.6% | 19.1% |
| Binge Drinking | 18.4% | 18.1% |
| Obesity | 37.1% | 39.0% |
| Disability Percentage | 18.0% | 11.0% |
Health Statistics Comparison: Curwensville vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 18.4% in Curwensville.
- Depression is more prevalent in Curwensville at 23.9% compared to 20.8% in Columbia.
- Smoking is more prevalent in Curwensville at 21.6% compared to 19.1% in Columbia.
- Binge drinking is more common in Curwensville at 18.4% compared to 18.1% in Columbia.
- Columbia has higher obesity rates at 39.0% compared to 37.1% in Curwensville.
- Disability percentages are higher in Curwensville at 18.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Curwensville | Columbia |
|---|---|---|
| No Schooling | 0.5% (12) | 0.4% (555) |
| High School Diploma | 28.4% (720) | 8.4% (11,712) |
| Less than High School | 10.5% (266) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 17.8% (451) | 24.7% (34,575) |
Education Levels Comparison: Curwensville vs Columbia
- A higher percentage of residents in Curwensville have no formal schooling at 0.5% compared to 0.4% in Columbia.
- A higher percentage of residents in Curwensville hold a high school diploma at 28.4% compared to 8.4% in Columbia.
- More residents in Curwensville have less than a high school education at 10.5% compared to 5.9% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 24.7% compared to 17.8% in Curwensville.
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.