Demographics details for Ute, IA vs Williamsport, PA
Population Overview
Compare main population characteristics in Ute, IA vs Williamsport, PA.
| Data | Ute | Williamsport |
|---|---|---|
| Population | 329 | 27,403 |
| Median Age | 39.5 years | 30.3 years |
| Median Income | $51,250 | $48,388 |
| Married Families | 27.0% | 24.0% |
| Poverty Level | 9% | 16% |
| Unemployment Rate | 2.2 | 4.1 |
Population Comparison: Ute vs Williamsport
- The population in Williamsport is higher at 27,403, compared to 329 in Ute.
- Residents in Ute have a higher median age of 39.5 years compared to 30.3 years in Williamsport.
- Ute has a higher median income of $51,250 compared to $48,388 in Williamsport.
- A higher percentage of married families is found in Ute at 27.0% compared to 24.0% in Williamsport.
- The poverty level is higher in Williamsport at 16%, compared to 9% in Ute.
- Williamsport has a higher unemployment rate at 4.1% compared to 2.2% in Ute.
Demographics
Demographics Ute vs Williamsport provide insight into the diversity of the communities to compare.
| Demographic | Ute | Williamsport |
|---|---|---|
| Black | Data is updating | 14 |
| White | 99 | 75 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 3 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Ute vs Williamsport
- In Williamsport, the percentage of Black residents is higher at 14% compared to 0% in Ute.
- Ute has a higher percentage of White residents at 99% compared to 75% in Williamsport.
- In Williamsport, the Asian population stands at 1%, greater than 0% in Ute.
- Williamsport has a higher percentage of Hispanic residents at 3%, compared to 1% in Ute.
- The percentage of residents identifying as two or more races is higher in Williamsport at 6%, compared to 0% in Ute.
- In Williamsport, the percentage of American Indian residents is higher at 1%, compared to 0% in Ute.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ute | Williamsport |
|---|---|---|
| Mental Health Not Good | 16.3% | 18.9% |
| Physical Health Not Good | 10.1% | 13.7% |
| Depression | 19.9% | 24.6% |
| Smoking | 18.5% | 22.7% |
| Binge Drinking | 21.4% | 16.2% |
| Obesity | 40.5% | 40.4% |
| Disability Percentage | 24.0% | 18.0% |
Health Statistics Comparison: Ute vs Williamsport
- In Williamsport, a higher percentage report poor mental health at 18.9% compared to 16.3% in Ute.
- Higher depression rates are seen in Williamsport at 24.6% versus 19.9% in Ute.
- Williamsport has a higher smoking rate at 22.7% compared to 18.5% in Ute.
- Binge drinking is more common in Ute at 21.4% compared to 16.2% in Williamsport.
- Obesity rates are higher in Ute at 40.5% compared to 40.4% in Williamsport.
- Disability percentages are higher in Ute at 24.0% compared to 18.0% in Williamsport.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ute | Williamsport |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (186) |
| High School Diploma | 31.0% (102) | 16.4% (4,487) |
| Less than High School | 8.5% (28) | 12.8% (3,507) |
| Bachelor's Degree and Higher | 7.0% (23) | 16.1% (4,416) |
Education Levels Comparison: Ute vs Williamsport
- In Williamsport, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Ute.
- A higher percentage of residents in Ute hold a high school diploma at 31.0% compared to 16.4% in Williamsport.
- The percentage of residents with less than a high school education is higher in Williamsport at 12.8%, compared to 8.5% in Ute.
- In Williamsport, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 7.0% in Ute.
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.