Demographics details for Green, OH vs Willow street, PA
Population Overview
Compare main population characteristics in Green, OH vs Willow street, PA.
| Data | Green | Willow street |
|---|---|---|
| Population | 27,269 | 9,640 |
| Median Age | 41.1 years | 52.8 years |
| Median Income | $90,419 | $100,727 |
| Married Families | 45.0% | 53.0% |
| Poverty Level | 4% | 5% |
| Unemployment Rate | 4.7 | 3.2 |
Population Comparison: Green vs Willow street
- In Green, the population is higher at 27,269, compared to 9,640 in Willow street.
- The median age in Willow street is higher at 52.8 years, compared to 41.1 years in Green.
- Willow street has a higher median income of $100,727, compared to $90,419 in Green.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 45.0% in Green.
- The poverty level is higher in Willow street at 5%, compared to 4% in Green.
- The unemployment rate in Green is higher at 4.7%, compared to 3.2% in Willow street.
Demographics
Demographics Green vs Willow street provide insight into the diversity of the communities to compare.
| Demographic | Green | Willow street |
|---|---|---|
| Black | 1 | 2 |
| White | 94 | 81 |
| Asian | 1 | 4 |
| Hispanic | 1 | 7 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Green vs Willow street
- In Willow street, the percentage of Black residents is higher at 2% compared to 1% in Green.
- Green has a higher percentage of White residents at 94% compared to 81% in Willow street.
- In Willow street, the Asian population stands at 4%, greater than 1% in Green.
- Willow street has a higher percentage of Hispanic residents at 7%, compared to 1% in Green.
- The percentage of residents identifying as two or more races is higher in Willow street at 5%, compared to 3% in Green.
- In Willow street, the percentage of American Indian residents is higher at 1%, compared to 0% in Green.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Willow street |
|---|---|---|
| Mental Health Not Good | 16.6% | 14.8% |
| Physical Health Not Good | 10.5% | 9.7% |
| Depression | 24.7% | 22.3% |
| Smoking | 17.4% | 14.9% |
| Binge Drinking | 19.1% | 18.7% |
| Obesity | 40.2% | 32.9% |
| Disability Percentage | 9.0% | 17.0% |
Health Statistics Comparison: Green vs Willow street
- More residents in Green report poor mental health at 16.6% compared to 14.8% in Willow street.
- Depression is more prevalent in Green at 24.7% compared to 22.3% in Willow street.
- Smoking is more prevalent in Green at 17.4% compared to 14.9% in Willow street.
- Binge drinking is more common in Green at 19.1% compared to 18.7% in Willow street.
- Obesity rates are higher in Green at 40.2% compared to 32.9% in Willow street.
- There is a higher percentage of disabled individuals in Willow street at 17.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green | Willow street |
|---|---|---|
| No Schooling | 0.2% (46) | 0.3% (32) |
| High School Diploma | 16.6% (4,514) | 17.8% (1,717) |
| Less than High School | 3.0% (828) | 7.6% (734) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 36.5% (3,517) |
Education Levels Comparison: Green vs Willow street
- In Willow street, a larger percentage of residents lack formal schooling at 0.3% compared to 0.2% in Green.
- In Willow street, the rate of residents with high school diplomas is higher at 17.8% compared to 16.6% in Green.
- The percentage of residents with less than a high school education is higher in Willow street at 7.6%, compared to 3.0% in Green.
- In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% compared to 29.3% in Green.
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.