Demographics details for Florence, WI vs Uniontown, PA
Population Overview
Compare main population characteristics in Florence, WI vs Uniontown, PA.
| Data | Florence | Uniontown |
|---|---|---|
| Population | 4,688 | 9,689 |
| Median Age | 54.1 years | 42.6 years |
| Median Income | $58,049 | $37,886 |
| Married Families | 50.0% | 30.0% |
| Poverty Level | 8% | 22% |
| Unemployment Rate | 4.1 | 6.7 |
Population Comparison: Florence vs Uniontown
- The population in Uniontown is higher at 9,689, compared to 4,688 in Florence.
- Residents in Florence have a higher median age of 54.1 years compared to 42.6 years in Uniontown.
- Florence has a higher median income of $58,049 compared to $37,886 in Uniontown.
- A higher percentage of married families is found in Florence at 50.0% compared to 30.0% in Uniontown.
- The poverty level is higher in Uniontown at 22%, compared to 8% in Florence.
- Uniontown has a higher unemployment rate at 6.7% compared to 4.1% in Florence.
Demographics
Demographics Florence vs Uniontown provide insight into the diversity of the communities to compare.
| Demographic | Florence | Uniontown |
|---|---|---|
| Black | Data is updating | 18 |
| White | 96 | 74 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 1 |
| Two or More Races | 3 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Uniontown
- In Uniontown, the percentage of Black residents is higher at 18% compared to 0% in Florence.
- Florence has a higher percentage of White residents at 96% compared to 74% in Uniontown.
- In Uniontown, the Asian population stands at 2%, greater than 0% in Florence.
- Uniontown has a higher percentage of Hispanic residents at 1%, compared to 0% in Florence.
- The percentage of residents identifying as two or more races is higher in Uniontown at 5%, compared to 3% in Florence.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Uniontown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Uniontown |
|---|---|---|
| Mental Health Not Good | 15.3% | 20.6% |
| Physical Health Not Good | 10.2% | 15.2% |
| Depression | 23.5% | 25.6% |
| Smoking | 17.1% | 26.3% |
| Binge Drinking | 25.0% | 16.1% |
| Obesity | 36.7% | 41.1% |
| Disability Percentage | 18.0% | 24.0% |
Health Statistics Comparison: Florence vs Uniontown
- In Uniontown, a higher percentage report poor mental health at 20.6% compared to 15.3% in Florence.
- Higher depression rates are seen in Uniontown at 25.6% versus 23.5% in Florence.
- Uniontown has a higher smoking rate at 26.3% compared to 17.1% in Florence.
- Binge drinking is more common in Florence at 25.0% compared to 16.1% in Uniontown.
- Uniontown has higher obesity rates at 41.1% compared to 36.7% in Florence.
- There is a higher percentage of disabled individuals in Uniontown at 24.0% compared to 18.0% in Florence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Uniontown |
|---|---|---|
| No Schooling | 0.3% (13) | 0.6% (56) |
| High School Diploma | 24.9% (1,167) | 28.6% (2,770) |
| Less than High School | 13.1% (614) | 17.5% (1,695) |
| Bachelor's Degree and Higher | 17.3% (812) | 14.9% (1,440) |
Education Levels Comparison: Florence vs Uniontown
- In Uniontown, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Florence.
- In Uniontown, the rate of residents with high school diplomas is higher at 28.6% compared to 24.9% in Florence.
- The percentage of residents with less than a high school education is higher in Uniontown at 17.5%, compared to 13.1% in Florence.
- A higher percentage of residents in Florence hold a bachelor's degree or higher at 17.3% 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.