Demographics details for Clinton, SC vs Mercer, PA
Population Overview
Compare main population characteristics in Clinton, SC vs Mercer, PA.
| Data | Clinton | Mercer |
|---|---|---|
| Population | 7,554 | 109,220 |
| Median Age | 35.4 years | 45.0 years |
| Median Income | $38,350 | $57,353 |
| Married Families | 19.0% | 42.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Clinton vs Mercer
- The population in Mercer is higher at 109,220, compared to 7,554 in Clinton.
- The median age in Mercer is higher at 45.0 years, compared to 35.4 years in Clinton.
- Mercer has a higher median income of $57,353, compared to $38,350 in Clinton.
- In Mercer, the percentage of married families is higher at 42.0%, compared to 19.0% in Clinton.
- Clinton has a higher poverty level at 18% compared to 10% in Mercer.
- The unemployment rate in Clinton is higher at 4.5%, compared to 4.2% in Mercer.
Demographics
Demographics Clinton vs Mercer provide insight into the diversity of the communities to compare.
| Demographic | Clinton | Mercer |
|---|---|---|
| Black | 38 | 6 |
| White | 55 | 87 |
| Asian | 2 | 1 |
| Hispanic | 1 | 2 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clinton vs Mercer
- A higher percentage of Black residents are in Clinton at 38% compared to 6% in Mercer.
- The percentage of White residents is higher in Mercer at 87% compared to 55% in Clinton.
- The Asian population is larger in Clinton at 2% compared to 1% in Mercer.
- Mercer has a higher percentage of Hispanic residents at 2%, compared to 1% in Clinton.
- Both Clinton and Mercer have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Clinton and Mercer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clinton | Mercer |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.8% |
| Physical Health Not Good | 14.0% | 12.1% |
| Depression | 23.7% | 23.7% |
| Smoking | 22.0% | 20.1% |
| Binge Drinking | 15.8% | 18.5% |
| Obesity | 44.9% | 40.3% |
| Disability Percentage | 17.0% | 18.0% |
Health Statistics Comparison: Clinton vs Mercer
- More residents in Clinton report poor mental health at 19.1% compared to 17.8% in Mercer.
- Both cities have comparable depression rates at 23.7%.
- Smoking is more prevalent in Clinton at 22.0% compared to 20.1% in Mercer.
- More residents engage in binge drinking in Mercer at 18.5% compared to 15.8% in Clinton.
- Obesity rates are higher in Clinton at 44.9% compared to 40.3% in Mercer.
- There is a higher percentage of disabled individuals in Mercer at 18.0% compared to 17.0% in Clinton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clinton | Mercer |
|---|---|---|
| No Schooling | 1.0% (74) | 0.6% (662) |
| High School Diploma | 19.3% (1,460) | 26.5% (28,924) |
| Less than High School | 15.6% (1,177) | 13.0% (14,161) |
| Bachelor's Degree and Higher | 17.3% (1,310) | 17.4% (19,021) |
Education Levels Comparison: Clinton vs Mercer
- A higher percentage of residents in Clinton have no formal schooling at 1.0% compared to 0.6% in Mercer.
- In Mercer, the rate of residents with high school diplomas is higher at 26.5% compared to 19.3% in Clinton.
- More residents in Clinton have less than a high school education at 15.6% compared to 13.0% in Mercer.
- In Mercer, a larger share of residents have a bachelor's degree or higher at 17.4% compared to 17.3% in Clinton.
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.