Demographics details for Willow street, PA vs Simms, TX
Population Overview
Compare main population characteristics in Willow street, PA vs Simms, TX.
| Data | Willow street | Simms |
|---|---|---|
| Population | 9,640 | 160 |
| Median Age | 52.8 years | 39.0 years |
| Median Income | $100,727 | $51,000 |
| Married Families | 53.0% | 60.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Willow street vs Simms
- In Willow street, the population is higher at 9,640, compared to 160 in Simms.
- Residents in Willow street have a higher median age of 52.8 years compared to 39.0 years in Simms.
- Willow street has a higher median income of $100,727 compared to $51,000 in Simms.
- In Simms, the percentage of married families is higher at 60.0%, compared to 53.0% in Willow street.
- The poverty level is higher in Simms at 15%, compared to 5% in Willow street.
- Simms has a higher unemployment rate at 5.0% compared to 3.2% in Willow street.
Demographics
Demographics Willow street vs Simms provide insight into the diversity of the communities to compare.
| Demographic | Willow street | Simms |
|---|---|---|
| Black | 2 | 2 |
| White | 81 | 94 |
| Asian | 4 | Data is updating |
| Hispanic | 7 | 4 |
| Two or More Races | 5 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Willow street vs Simms
- The percentage of Black residents is the same in both Willow street and Simms at 2%.
- The percentage of White residents is higher in Simms at 94% compared to 81% in Willow street.
- The Asian population is larger in Willow street at 4% compared to 0% in Simms.
- The Hispanic community is larger in Willow street at 7% compared to 4% in Simms.
- More residents identify as two or more races in Willow street at 5% compared to 0% in Simms.
- A greater percentage of American Indian residents live in Willow street at 1% compared to 0% in Simms.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Willow street | Simms |
|---|---|---|
| Mental Health Not Good | 14.8% | Data is updating% |
| Physical Health Not Good | 9.7% | Data is updating% |
| Depression | 22.3% | Data is updating% |
| Smoking | 14.9% | Data is updating% |
| Binge Drinking | 18.7% | Data is updating% |
| Obesity | 32.9% | Data is updating% |
| Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Willow street vs Simms
- More residents in Willow street report poor mental health at 14.8% compared to 0.0% in Simms.
- Depression is more prevalent in Willow street at 22.3% compared to 0.0% in Simms.
- Smoking is more prevalent in Willow street at 14.9% compared to 0.0% in Simms.
- Binge drinking is more common in Willow street at 18.7% compared to 0.0% in Simms.
- Obesity rates are higher in Willow street at 32.9% compared to 0.0% in Simms.
- Disability percentages are higher in Willow street at 17.0% compared to 0.0% in Simms.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Willow street | Simms |
|---|---|---|
| No Schooling | 0.3% (32) | 0.0% (Data is updating) |
| High School Diploma | 17.8% (1,717) | 0.0% (Data is updating) |
| Less than High School | 7.6% (734) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 36.5% (3,517) | 0.0% (Data is updating) |
Education Levels Comparison: Willow street vs Simms
- A higher percentage of residents in Willow street have no formal schooling at 0.3% compared to 0.0% in Simms.
- A higher percentage of residents in Willow street hold a high school diploma at 17.8% compared to 0.0% in Simms.
- More residents in Willow street have less than a high school education at 7.6% compared to 0.0% in Simms.
- A higher percentage of residents in Willow street hold a bachelor's degree or higher at 36.5% compared to 0.0% in Simms.
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.