Demographics details for Sumter, SC vs Curwensville, PA
Population Overview
Compare main population characteristics in Sumter, SC vs Curwensville, PA.
Data | Sumter | Curwensville |
---|---|---|
Population | 42,757 | 2,532 |
Median Age | 33.1 years | 38.9 years |
Median Income | $48,900 | $46,726 |
Married Families | 34.0% | 33.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 6.0 | 4.2 |
Population Comparison: Sumter vs Curwensville
- In Sumter, the population is higher at 42,757, compared to 2,532 in Curwensville.
- The median age in Curwensville is higher at 38.9 years, compared to 33.1 years in Sumter.
- Sumter has a higher median income of $48,900 compared to $46,726 in Curwensville.
- A higher percentage of married families is found in Sumter at 34.0% compared to 33.0% in Curwensville.
- Sumter has a higher poverty level at 15% compared to 12% in Curwensville.
- The unemployment rate in Sumter is higher at 6.0%, compared to 4.2% in Curwensville.
Demographics
Demographics Sumter vs Curwensville provide insight into the diversity of the communities to compare.
Demographic | Sumter | Curwensville |
---|---|---|
Black | 48 | 1 |
White | 36 | 95 |
Asian | 2 | Data is updating |
Hispanic | 7 | 1 |
Two or More Races | 6 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Sumter vs Curwensville
- A higher percentage of Black residents are in Sumter at 48% compared to 1% in Curwensville.
- The percentage of White residents is higher in Curwensville at 95% compared to 36% in Sumter.
- The Asian population is larger in Sumter at 2% compared to 0% in Curwensville.
- The Hispanic community is larger in Sumter at 7% compared to 1% in Curwensville.
- More residents identify as two or more races in Sumter at 6% compared to 3% in Curwensville.
- A greater percentage of American Indian residents live in Sumter at 1% compared to 0% in Curwensville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sumter | Curwensville |
---|---|---|
Mental Health Not Good | 18.7% | 18.4% |
Physical Health Not Good | 13.7% | 12.5% |
Depression | 20.9% | 23.9% |
Smoking | 21.7% | 21.6% |
Binge Drinking | 15.2% | 18.4% |
Obesity | 42.5% | 37.1% |
Disability Percentage | 15.0% | 18.0% |
Health Statistics Comparison: Sumter vs Curwensville
- More residents in Sumter report poor mental health at 18.7% compared to 18.4% in Curwensville.
- Higher depression rates are seen in Curwensville at 23.9% versus 20.9% in Sumter.
- Smoking is more prevalent in Sumter at 21.7% compared to 21.6% in Curwensville.
- More residents engage in binge drinking in Curwensville at 18.4% compared to 15.2% in Sumter.
- Obesity rates are higher in Sumter at 42.5% compared to 37.1% in Curwensville.
- There is a higher percentage of disabled individuals in Curwensville at 18.0% compared to 15.0% in Sumter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sumter | Curwensville |
---|---|---|
No Schooling | 0.6% (246) | 0.5% (12) |
High School Diploma | 15.8% (6,741) | 28.4% (720) |
Less than High School | 9.2% (3,936) | 10.5% (266) |
Bachelor's Degree and Higher | 17.5% (7,485) | 17.8% (451) |
Education Levels Comparison: Sumter vs Curwensville
- A higher percentage of residents in Sumter have no formal schooling at 0.6% compared to 0.5% in Curwensville.
- In Curwensville, the rate of residents with high school diplomas is higher at 28.4% compared to 15.8% in Sumter.
- The percentage of residents with less than a high school education is higher in Curwensville at 10.5%, compared to 9.2% in Sumter.
- In Curwensville, a larger share of residents have a bachelor's degree or higher at 17.8% compared to 17.5% in Sumter.
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.