Demographics details for Mercer, PA vs Greenwood, SC
Population Overview
Compare main population characteristics in Mercer, PA vs Greenwood, SC.
| Data | Mercer | Greenwood |
|---|---|---|
| Population | 109,220 | 22,454 |
| Median Age | 45.0 years | 32.7 years |
| Median Income | $57,353 | $38,884 |
| Married Families | 42.0% | 21.0% |
| Poverty Level | 10% | 17% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Mercer vs Greenwood
- In Mercer, the population is higher at 109,220, compared to 22,454 in Greenwood.
- Residents in Mercer have a higher median age of 45.0 years compared to 32.7 years in Greenwood.
- Mercer has a higher median income of $57,353 compared to $38,884 in Greenwood.
- A higher percentage of married families is found in Mercer at 42.0% compared to 21.0% in Greenwood.
- The poverty level is higher in Greenwood at 17%, compared to 10% in Mercer.
- The unemployment rate in Mercer is higher at 4.2%, compared to 4.1% in Greenwood.
Demographics
Demographics Mercer vs Greenwood provide insight into the diversity of the communities to compare.
| Demographic | Mercer | Greenwood |
|---|---|---|
| Black | 6 | 48 |
| White | 87 | 36 |
| Asian | 1 | 1 |
| Hispanic | 2 | 10 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mercer vs Greenwood
- In Greenwood, the percentage of Black residents is higher at 48% compared to 6% in Mercer.
- Mercer has a higher percentage of White residents at 87% compared to 36% in Greenwood.
- Both Mercer and Greenwood have the same percentage of Asian residents at 1%.
- Greenwood has a higher percentage of Hispanic residents at 10%, compared to 2% in Mercer.
- The percentage of residents identifying as two or more races is higher in Greenwood at 5%, compared to 4% in Mercer.
- The percentage of American Indian residents is the same in both Mercer and Greenwood at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mercer | Greenwood |
|---|---|---|
| Mental Health Not Good | 17.8% | 19.0% |
| Physical Health Not Good | 12.1% | 13.8% |
| Depression | 23.7% | 21.1% |
| Smoking | 20.1% | 20.8% |
| Binge Drinking | 18.5% | 14.1% |
| Obesity | 40.3% | 42.7% |
| Disability Percentage | 18.0% | 11.0% |
Health Statistics Comparison: Mercer vs Greenwood
- In Greenwood, a higher percentage report poor mental health at 19.0% compared to 17.8% in Mercer.
- Depression is more prevalent in Mercer at 23.7% compared to 21.1% in Greenwood.
- Greenwood has a higher smoking rate at 20.8% compared to 20.1% in Mercer.
- Binge drinking is more common in Mercer at 18.5% compared to 14.1% in Greenwood.
- Greenwood has higher obesity rates at 42.7% compared to 40.3% in Mercer.
- Disability percentages are higher in Mercer at 18.0% compared to 11.0% in Greenwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mercer | Greenwood |
|---|---|---|
| No Schooling | 0.6% (662) | 1.7% (383) |
| High School Diploma | 26.5% (28,924) | 18.1% (4,053) |
| Less than High School | 13.0% (14,161) | 16.0% (3,589) |
| Bachelor's Degree and Higher | 17.4% (19,021) | 12.8% (2,882) |
Education Levels Comparison: Mercer vs Greenwood
- In Greenwood, a larger percentage of residents lack formal schooling at 1.7% compared to 0.6% in Mercer.
- A higher percentage of residents in Mercer hold a high school diploma at 26.5% compared to 18.1% in Greenwood.
- The percentage of residents with less than a high school education is higher in Greenwood at 16.0%, compared to 13.0% in Mercer.
- A higher percentage of residents in Mercer hold a bachelor's degree or higher at 17.4% compared to 12.8% in Greenwood.
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.