Demographics details for Uniontown, PA vs Webb city, MO
Population Overview
Compare main population characteristics in Uniontown, PA vs Webb city, MO.
| Data | Uniontown | Webb city |
|---|---|---|
| Population | 9,689 | 13,165 |
| Median Age | 42.6 years | 34.2 years |
| Median Income | $37,886 | $58,964 |
| Married Families | 30.0% | 36.0% |
| Poverty Level | 22% | 12% |
| Unemployment Rate | 6.7 | 3.5 |
Population Comparison: Uniontown vs Webb city
- The population in Webb city is higher at 13,165, compared to 9,689 in Uniontown.
- Residents in Uniontown have a higher median age of 42.6 years compared to 34.2 years in Webb city.
- Webb city has a higher median income of $58,964, compared to $37,886 in Uniontown.
- In Webb city, the percentage of married families is higher at 36.0%, compared to 30.0% in Uniontown.
- Uniontown has a higher poverty level at 22% compared to 12% in Webb city.
- The unemployment rate in Uniontown is higher at 6.7%, compared to 3.5% in Webb city.
Demographics
Demographics Uniontown vs Webb city provide insight into the diversity of the communities to compare.
| Demographic | Uniontown | Webb city |
|---|---|---|
| Black | 18 | 2 |
| White | 74 | 87 |
| Asian | 2 | 2 |
| Hispanic | 1 | 2 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Uniontown vs Webb city
- A higher percentage of Black residents are in Uniontown at 18% compared to 2% in Webb city.
- The percentage of White residents is higher in Webb city at 87% compared to 74% in Uniontown.
- Both Uniontown and Webb city have the same percentage of Asian residents at 2%.
- Webb city has a higher percentage of Hispanic residents at 2%, compared to 1% in Uniontown.
- The percentage of residents identifying as two or more races is higher in Webb city at 6%, compared to 5% in Uniontown.
- In Webb city, the percentage of American Indian residents is higher at 1%, compared to 0% in Uniontown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Uniontown | Webb city |
|---|---|---|
| Mental Health Not Good | 20.6% | 19.2% |
| Physical Health Not Good | 15.2% | 13.6% |
| Depression | 25.6% | 26.8% |
| Smoking | 26.3% | 21.8% |
| Binge Drinking | 16.1% | 16.2% |
| Obesity | 41.1% | 40.0% |
| Disability Percentage | 24.0% | 16.0% |
Health Statistics Comparison: Uniontown vs Webb city
- More residents in Uniontown report poor mental health at 20.6% compared to 19.2% in Webb city.
- Higher depression rates are seen in Webb city at 26.8% versus 25.6% in Uniontown.
- Smoking is more prevalent in Uniontown at 26.3% compared to 21.8% in Webb city.
- More residents engage in binge drinking in Webb city at 16.2% compared to 16.1% in Uniontown.
- Obesity rates are higher in Uniontown at 41.1% compared to 40.0% in Webb city.
- Disability percentages are higher in Uniontown at 24.0% compared to 16.0% in Webb city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Uniontown | Webb city |
|---|---|---|
| No Schooling | 0.6% (56) | 0.4% (53) |
| High School Diploma | 28.6% (2,770) | 19.4% (2,556) |
| Less than High School | 17.5% (1,695) | 11.6% (1,529) |
| Bachelor's Degree and Higher | 14.9% (1,440) | 17.5% (2,301) |
Education Levels Comparison: Uniontown vs Webb city
- A higher percentage of residents in Uniontown have no formal schooling at 0.6% compared to 0.4% in Webb city.
- A higher percentage of residents in Uniontown hold a high school diploma at 28.6% compared to 19.4% in Webb city.
- More residents in Uniontown have less than a high school education at 17.5% compared to 11.6% in Webb city.
- In Webb city, a larger share of residents have a bachelor's degree or higher at 17.5% 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.