Demographics details for Uniontown, PA vs Columbia, SC
Population Overview
Compare main population characteristics in Uniontown, PA vs Columbia, SC.
| Data | Uniontown | Columbia |
|---|---|---|
| Population | 9,689 | 139,698 |
| Median Age | 42.6 years | 28.3 years |
| Median Income | $37,886 | $54,095 |
| Married Families | 30.0% | 25.0% |
| Poverty Level | 22% | 17% |
| Unemployment Rate | 6.7 | 5.8 |
Population Comparison: Uniontown vs Columbia
- The population in Columbia is higher at 139,698, compared to 9,689 in Uniontown.
- Residents in Uniontown have a higher median age of 42.6 years compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095, compared to $37,886 in Uniontown.
- A higher percentage of married families is found in Uniontown at 30.0% compared to 25.0% in Columbia.
- Uniontown has a higher poverty level at 22% compared to 17% in Columbia.
- The unemployment rate in Uniontown is higher at 6.7%, compared to 5.8% in Columbia.
Demographics
Demographics Uniontown vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Uniontown | Columbia |
|---|---|---|
| Black | 18 | 40 |
| White | 74 | 48 |
| Asian | 2 | 2 |
| Hispanic | 1 | 5 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Uniontown vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 18% in Uniontown.
- Uniontown has a higher percentage of White residents at 74% compared to 48% in Columbia.
- Both Uniontown and Columbia have the same percentage of Asian residents at 2%.
- Columbia has a higher percentage of Hispanic residents at 5%, compared to 1% in Uniontown.
- Both Uniontown and Columbia have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Uniontown and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Uniontown | Columbia |
|---|---|---|
| Mental Health Not Good | 20.6% | 18.6% |
| Physical Health Not Good | 15.2% | 13.1% |
| Depression | 25.6% | 20.8% |
| Smoking | 26.3% | 19.1% |
| Binge Drinking | 16.1% | 18.1% |
| Obesity | 41.1% | 39.0% |
| Disability Percentage | 24.0% | 11.0% |
Health Statistics Comparison: Uniontown vs Columbia
- More residents in Uniontown report poor mental health at 20.6% compared to 18.6% in Columbia.
- Depression is more prevalent in Uniontown at 25.6% compared to 20.8% in Columbia.
- Smoking is more prevalent in Uniontown at 26.3% compared to 19.1% in Columbia.
- More residents engage in binge drinking in Columbia at 18.1% compared to 16.1% in Uniontown.
- Obesity rates are higher in Uniontown at 41.1% compared to 39.0% in Columbia.
- Disability percentages are higher in Uniontown at 24.0% 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 | Uniontown | Columbia |
|---|---|---|
| No Schooling | 0.6% (56) | 0.4% (555) |
| High School Diploma | 28.6% (2,770) | 8.4% (11,712) |
| Less than High School | 17.5% (1,695) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 14.9% (1,440) | 24.7% (34,575) |
Education Levels Comparison: Uniontown vs Columbia
- A higher percentage of residents in Uniontown have no formal schooling at 0.6% compared to 0.4% in Columbia.
- A higher percentage of residents in Uniontown hold a high school diploma at 28.6% compared to 8.4% in Columbia.
- More residents in Uniontown have less than a high school education at 17.5% 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 14.9% in Uniontown.
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.