Demographics details for Willow street, PA vs Marianna, AR
Population Overview
Compare main population characteristics in Willow street, PA vs Marianna, AR.
Data | Willow street | Marianna |
---|---|---|
Population | 9,640 | 3,432 |
Median Age | 52.8 years | 41.7 years |
Median Income | $100,727 | $21,057 |
Married Families | 53.0% | 16.0% |
Poverty Level | 5% | 20% |
Unemployment Rate | 3.2 | 5.2 |
Population Comparison: Willow street vs Marianna
- In Willow street, the population is higher at 9,640, compared to 3,432 in Marianna.
- Residents in Willow street have a higher median age of 52.8 years compared to 41.7 years in Marianna.
- Willow street has a higher median income of $100,727 compared to $21,057 in Marianna.
- A higher percentage of married families is found in Willow street at 53.0% compared to 16.0% in Marianna.
- The poverty level is higher in Marianna at 20%, compared to 5% in Willow street.
- Marianna has a higher unemployment rate at 5.2% compared to 3.2% in Willow street.
Demographics
Demographics Willow street vs Marianna provide insight into the diversity of the communities to compare.
Demographic | Willow street | Marianna |
---|---|---|
Black | 2 | 84 |
White | 81 | 14 |
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 Marianna
- In Marianna, the percentage of Black residents is higher at 84% compared to 2% in Willow street.
- Willow street has a higher percentage of White residents at 81% compared to 14% in Marianna.
- The Asian population is larger in Willow street at 4% compared to 0% in Marianna.
- The Hispanic community is larger in Willow street at 7% compared to 0% in Marianna.
- More residents identify as two or more races in Willow street at 5% compared to 2% in Marianna.
- A greater percentage of American Indian residents live in Willow street at 1% compared to 0% in Marianna.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Willow street | Marianna |
---|---|---|
Mental Health Not Good | 14.8% | 22.0% |
Physical Health Not Good | 9.7% | 17.6% |
Depression | 22.3% | 23.8% |
Smoking | 14.9% | 28.5% |
Binge Drinking | 18.7% | 10.9% |
Obesity | 32.9% | 49.3% |
Disability Percentage | 17.0% | 22.0% |
Health Statistics Comparison: Willow street vs Marianna
- In Marianna, a higher percentage report poor mental health at 22.0% compared to 14.8% in Willow street.
- Higher depression rates are seen in Marianna at 23.8% versus 22.3% in Willow street.
- Marianna has a higher smoking rate at 28.5% compared to 14.9% in Willow street.
- Binge drinking is more common in Willow street at 18.7% compared to 10.9% in Marianna.
- Marianna has higher obesity rates at 49.3% compared to 32.9% in Willow street.
- There is a higher percentage of disabled individuals in Marianna at 22.0% 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 | Willow street | Marianna |
---|---|---|
No Schooling | 0.3% (32) | 0.3% (10) |
High School Diploma | 17.8% (1,717) | 30.3% (1,041) |
Less than High School | 7.6% (734) | 9.1% (312) |
Bachelor's Degree and Higher | 36.5% (3,517) | 3.3% (113) |
Education Levels Comparison: Willow street vs Marianna
- The percentage of residents with no formal schooling is the same in both Willow street and Marianna at 0.3%.
- In Marianna, the rate of residents with high school diplomas is higher at 30.3% compared to 17.8% in Willow street.
- The percentage of residents with less than a high school education is higher in Marianna at 9.1%, 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 3.3% in Marianna.
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.