Demographics details for Butler, MO vs Willow street, PA
Population Overview
Compare main population characteristics in Butler, MO vs Willow street, PA.
| Data | Butler | Willow street |
|---|---|---|
| Population | 4,246 | 9,640 |
| Median Age | 36.7 years | 52.8 years |
| Median Income | $33,548 | $100,727 |
| Married Families | 35.0% | 53.0% |
| Poverty Level | 14% | 5% |
| Unemployment Rate | 4.3 | 3.2 |
Population Comparison: Butler vs Willow street
- The population in Willow street is higher at 9,640, compared to 4,246 in Butler.
- The median age in Willow street is higher at 52.8 years, compared to 36.7 years in Butler.
- Willow street has a higher median income of $100,727, compared to $33,548 in Butler.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 35.0% in Butler.
- Butler has a higher poverty level at 14% compared to 5% in Willow street.
- The unemployment rate in Butler is higher at 4.3%, compared to 3.2% in Willow street.
Demographics
Demographics Butler vs Willow street provide insight into the diversity of the communities to compare.
| Demographic | Butler | Willow street |
|---|---|---|
| Black | 6 | 2 |
| White | 89 | 81 |
| Asian | 1 | 4 |
| Hispanic | 1 | 7 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Butler vs Willow street
- A higher percentage of Black residents are in Butler at 6% compared to 2% in Willow street.
- Butler has a higher percentage of White residents at 89% compared to 81% in Willow street.
- In Willow street, the Asian population stands at 4%, greater than 1% in Butler.
- Willow street has a higher percentage of Hispanic residents at 7%, compared to 1% in Butler.
- The percentage of residents identifying as two or more races is higher in Willow street at 5%, compared to 3% in Butler.
- In Willow street, the percentage of American Indian residents is higher at 1%, compared to 0% in Butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Willow street |
|---|---|---|
| Mental Health Not Good | 20.0% | 14.8% |
| Physical Health Not Good | 15.0% | 9.7% |
| Depression | 27.0% | 22.3% |
| Smoking | 26.2% | 14.9% |
| Binge Drinking | 16.4% | 18.7% |
| Obesity | 42.8% | 32.9% |
| Disability Percentage | 21.0% | 17.0% |
Health Statistics Comparison: Butler vs Willow street
- More residents in Butler report poor mental health at 20.0% compared to 14.8% in Willow street.
- Depression is more prevalent in Butler at 27.0% compared to 22.3% in Willow street.
- Smoking is more prevalent in Butler at 26.2% compared to 14.9% in Willow street.
- More residents engage in binge drinking in Willow street at 18.7% compared to 16.4% in Butler.
- Obesity rates are higher in Butler at 42.8% compared to 32.9% in Willow street.
- Disability percentages are higher in Butler at 21.0% compared to 17.0% in Willow street.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Willow street |
|---|---|---|
| No Schooling | 0.7% (31) | 0.3% (32) |
| High School Diploma | 37.8% (1,605) | 17.8% (1,717) |
| Less than High School | 11.9% (505) | 7.6% (734) |
| Bachelor's Degree and Higher | 7.8% (330) | 36.5% (3,517) |
Education Levels Comparison: Butler vs Willow street
- A higher percentage of residents in Butler have no formal schooling at 0.7% compared to 0.3% in Willow street.
- A higher percentage of residents in Butler hold a high school diploma at 37.8% compared to 17.8% in Willow street.
- More residents in Butler have less than a high school education at 11.9% compared to 7.6% in Willow street.
- In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% compared to 7.8% in Butler.
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.