Demographics details for Willow street, PA vs Persia, IA
Population Overview
Compare main population characteristics in Willow street, PA vs Persia, IA.
Data | Willow street | Persia |
---|---|---|
Population | 9,640 | 295 |
Median Age | 52.8 years | 39.5 years |
Median Income | $100,727 | $70,313 |
Married Families | 53.0% | 51.0% |
Poverty Level | 5% | 6% |
Unemployment Rate | 3.2 | 2.5 |
Population Comparison: Willow street vs Persia
- In Willow street, the population is higher at 9,640, compared to 295 in Persia.
- Residents in Willow street have a higher median age of 52.8 years compared to 39.5 years in Persia.
- Willow street has a higher median income of $100,727 compared to $70,313 in Persia.
- A higher percentage of married families is found in Willow street at 53.0% compared to 51.0% in Persia.
- The poverty level is higher in Persia at 6%, compared to 5% in Willow street.
- The unemployment rate in Willow street is higher at 3.2%, compared to 2.5% in Persia.
Demographics
Demographics Willow street vs Persia provide insight into the diversity of the communities to compare.
Demographic | Willow street | Persia |
---|---|---|
Black | 2 | Data is updating |
White | 81 | 94 |
Asian | 4 | Data is updating |
Hispanic | 7 | 2 |
Two or More Races | 5 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Willow street vs Persia
- A higher percentage of Black residents are in Willow street at 2% compared to 0% in Persia.
- The percentage of White residents is higher in Persia at 94% compared to 81% in Willow street.
- The Asian population is larger in Willow street at 4% compared to 0% in Persia.
- The Hispanic community is larger in Willow street at 7% compared to 2% in Persia.
- More residents identify as two or more races in Willow street at 5% compared to 4% in Persia.
- A greater percentage of American Indian residents live in Willow street at 1% compared to 0% in Persia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Willow street | Persia |
---|---|---|
Mental Health Not Good | 14.8% | 14.8% |
Physical Health Not Good | 9.7% | 8.7% |
Depression | 22.3% | 19.2% |
Smoking | 14.9% | 15.5% |
Binge Drinking | 18.7% | 23.3% |
Obesity | 32.9% | 36.4% |
Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Willow street vs Persia
- Poor mental health levels are equal in both Willow street and Persia at 14.8%.
- Depression is more prevalent in Willow street at 22.3% compared to 19.2% in Persia.
- Persia has a higher smoking rate at 15.5% compared to 14.9% in Willow street.
- More residents engage in binge drinking in Persia at 23.3% compared to 18.7% in Willow street.
- Persia has higher obesity rates at 36.4% compared to 32.9% in Willow street.
- Disability percentages are higher in Willow street at 17.0% compared to 10.0% in Persia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Willow street | Persia |
---|---|---|
No Schooling | 0.3% (32) | 0.0% (Data is updating) |
High School Diploma | 17.8% (1,717) | 24.7% (73) |
Less than High School | 7.6% (734) | 8.1% (24) |
Bachelor's Degree and Higher | 36.5% (3,517) | 12.5% (37) |
Education Levels Comparison: Willow street vs Persia
- A higher percentage of residents in Willow street have no formal schooling at 0.3% compared to 0.0% in Persia.
- In Persia, the rate of residents with high school diplomas is higher at 24.7% compared to 17.8% in Willow street.
- The percentage of residents with less than a high school education is higher in Persia at 8.1%, 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 12.5% in Persia.
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.