Demographics details for Bagley, IA vs Willow street, PA
Population Overview
Compare main population characteristics in Bagley, IA vs Willow street, PA.
Data | Bagley | Willow street |
---|---|---|
Population | 229 | 9,640 |
Median Age | 47.0 years | 52.8 years |
Median Income | $43,929 | $100,727 |
Married Families | 47.0% | 53.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Bagley vs Willow street
- The population in Willow street is higher at 9,640, compared to 229 in Bagley.
- The median age in Willow street is higher at 52.8 years, compared to 47.0 years in Bagley.
- Willow street has a higher median income of $100,727, compared to $43,929 in Bagley.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 47.0% in Bagley.
- Bagley has a higher poverty level at 12% compared to 5% in Willow street.
- The unemployment rate in Bagley is higher at 3.5%, compared to 3.2% in Willow street.
Demographics
Demographics Bagley vs Willow street provide insight into the diversity of the communities to compare.
Demographic | Bagley | Willow street |
---|---|---|
Black | Data is updating | 2 |
White | 92 | 81 |
Asian | Data is updating | 4 |
Hispanic | 4 | 7 |
Two or More Races | 4 | 5 |
American Indian | Data is updating | 1 |
Demographics Comparison: Bagley vs Willow street
- In Willow street, the percentage of Black residents is higher at 2% compared to 0% in Bagley.
- Bagley has a higher percentage of White residents at 92% compared to 81% in Willow street.
- In Willow street, the Asian population stands at 4%, greater than 0% in Bagley.
- Willow street has a higher percentage of Hispanic residents at 7%, compared to 4% in Bagley.
- The percentage of residents identifying as two or more races is higher in Willow street at 5%, compared to 4% in Bagley.
- In Willow street, the percentage of American Indian residents is higher at 1%, compared to 0% in Bagley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bagley | Willow street |
---|---|---|
Mental Health Not Good | 14.8% | 14.8% |
Physical Health Not Good | 9.3% | 9.7% |
Depression | 18.1% | 22.3% |
Smoking | 16.6% | 14.9% |
Binge Drinking | 22.3% | 18.7% |
Obesity | 35.7% | 32.9% |
Disability Percentage | 25.0% | 17.0% |
Health Statistics Comparison: Bagley vs Willow street
- Poor mental health levels are equal in both Bagley and Willow street at 14.8%.
- Higher depression rates are seen in Willow street at 22.3% versus 18.1% in Bagley.
- Smoking is more prevalent in Bagley at 16.6% compared to 14.9% in Willow street.
- Binge drinking is more common in Bagley at 22.3% compared to 18.7% in Willow street.
- Obesity rates are higher in Bagley at 35.7% compared to 32.9% in Willow street.
- Disability percentages are higher in Bagley at 25.0% 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 | Bagley | Willow street |
---|---|---|
No Schooling | 0.9% (2) | 0.3% (32) |
High School Diploma | 27.5% (63) | 17.8% (1,717) |
Less than High School | 28.8% (66) | 7.6% (734) |
Bachelor's Degree and Higher | 8.3% (19) | 36.5% (3,517) |
Education Levels Comparison: Bagley vs Willow street
- A higher percentage of residents in Bagley have no formal schooling at 0.9% compared to 0.3% in Willow street.
- A higher percentage of residents in Bagley hold a high school diploma at 27.5% compared to 17.8% in Willow street.
- More residents in Bagley have less than a high school education at 28.8% 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 8.3% in Bagley.
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.