Demographics details for Willow street, PA vs Agra, KS
Population Overview
Compare main population characteristics in Willow street, PA vs Agra, KS.
| Data | Willow street | Agra |
|---|---|---|
| Population | 9,640 | 200 |
| Median Age | 52.8 years | 59.4 years |
| Median Income | $100,727 | $46,250 |
| Married Families | 53.0% | 46.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Willow street vs Agra
- In Willow street, the population is higher at 9,640, compared to 200 in Agra.
- The median age in Agra is higher at 59.4 years, compared to 52.8 years in Willow street.
- Willow street has a higher median income of $100,727 compared to $46,250 in Agra.
- A higher percentage of married families is found in Willow street at 53.0% compared to 46.0% in Agra.
- The poverty level is higher in Agra at 10%, compared to 5% in Willow street.
- Agra has a higher unemployment rate at 4.5% compared to 3.2% in Willow street.
Demographics
Demographics Willow street vs Agra provide insight into the diversity of the communities to compare.
| Demographic | Willow street | Agra |
|---|---|---|
| Black | 2 | 13 |
| White | 81 | 85 |
| Asian | 4 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 5 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Willow street vs Agra
- In Agra, the percentage of Black residents is higher at 13% compared to 2% in Willow street.
- The percentage of White residents is higher in Agra at 85% compared to 81% in Willow street.
- The Asian population is larger in Willow street at 4% compared to 0% in Agra.
- The Hispanic community is larger in Willow street at 7% compared to 0% in Agra.
- More residents identify as two or more races in Willow street at 5% compared to 2% in Agra.
- A greater percentage of American Indian residents live in Willow street at 1% compared to 0% in Agra.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Willow street | Agra |
|---|---|---|
| Mental Health Not Good | 14.8% | 16.4% |
| Physical Health Not Good | 9.7% | 10.4% |
| Depression | 22.3% | 20.8% |
| Smoking | 14.9% | 19.3% |
| Binge Drinking | 18.7% | 19.6% |
| Obesity | 32.9% | 37.2% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Willow street vs Agra
- In Agra, a higher percentage report poor mental health at 16.4% compared to 14.8% in Willow street.
- Depression is more prevalent in Willow street at 22.3% compared to 20.8% in Agra.
- Agra has a higher smoking rate at 19.3% compared to 14.9% in Willow street.
- More residents engage in binge drinking in Agra at 19.6% compared to 18.7% in Willow street.
- Agra has higher obesity rates at 37.2% compared to 32.9% in Willow street.
- Disability percentages are the same in both Willow street and Agra at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Willow street | Agra |
|---|---|---|
| No Schooling | 0.3% (32) | 0.5% (1) |
| High School Diploma | 17.8% (1,717) | 31.0% (62) |
| Less than High School | 7.6% (734) | 31.0% (62) |
| Bachelor's Degree and Higher | 36.5% (3,517) | 9.5% (19) |
Education Levels Comparison: Willow street vs Agra
- In Agra, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Willow street.
- In Agra, the rate of residents with high school diplomas is higher at 31.0% compared to 17.8% in Willow street.
- The percentage of residents with less than a high school education is higher in Agra at 31.0%, compared to 7.6% in Willow street.
- A higher percentage of residents in Willow street hold a bachelor's degree or higher at 36.5% compared to 9.5% in Agra.
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.