Demographics details for Willow street, PA vs Flint, MI
Population Overview
Compare main population characteristics in Willow street, PA vs Flint, MI.
Data | Willow street | Flint |
---|---|---|
Population | 9,640 | 79,854 |
Median Age | 52.8 years | 36.1 years |
Median Income | $100,727 | $35,451 |
Married Families | 53.0% | 20.0% |
Poverty Level | 5% | 32% |
Unemployment Rate | 3.2 | 10.4 |
Population Comparison: Willow street vs Flint
- The population in Flint is higher at 79,854, compared to 9,640 in Willow street.
- Residents in Willow street have a higher median age of 52.8 years compared to 36.1 years in Flint.
- Willow street has a higher median income of $100,727 compared to $35,451 in Flint.
- A higher percentage of married families is found in Willow street at 53.0% compared to 20.0% in Flint.
- The poverty level is higher in Flint at 32%, compared to 5% in Willow street.
- Flint has a higher unemployment rate at 10.4% compared to 3.2% in Willow street.
Demographics
Demographics Willow street vs Flint provide insight into the diversity of the communities to compare.
Demographic | Willow street | Flint |
---|---|---|
Black | 2 | 58 |
White | 81 | 30 |
Asian | 4 | 1 |
Hispanic | 7 | 4 |
Two or More Races | 5 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Willow street vs Flint
- In Flint, the percentage of Black residents is higher at 58% compared to 2% in Willow street.
- Willow street has a higher percentage of White residents at 81% compared to 30% in Flint.
- The Asian population is larger in Willow street at 4% compared to 1% in Flint.
- The Hispanic community is larger in Willow street at 7% compared to 4% in Flint.
- The percentage of residents identifying as two or more races is higher in Flint at 7%, compared to 5% in Willow street.
- A greater percentage of American Indian residents live in Willow street at 1% compared to 0% in Flint.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Willow street | Flint |
---|---|---|
Mental Health Not Good | 14.8% | 21.1% |
Physical Health Not Good | 9.7% | 17.3% |
Depression | 22.3% | 25.6% |
Smoking | 14.9% | 29.5% |
Binge Drinking | 18.7% | 14.0% |
Obesity | 32.9% | 51.7% |
Disability Percentage | 17.0% | 25.0% |
Health Statistics Comparison: Willow street vs Flint
- In Flint, a higher percentage report poor mental health at 21.1% compared to 14.8% in Willow street.
- Higher depression rates are seen in Flint at 25.6% versus 22.3% in Willow street.
- Flint has a higher smoking rate at 29.5% compared to 14.9% in Willow street.
- Binge drinking is more common in Willow street at 18.7% compared to 14.0% in Flint.
- Flint has higher obesity rates at 51.7% compared to 32.9% in Willow street.
- There is a higher percentage of disabled individuals in Flint at 25.0% 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 | Flint |
---|---|---|
No Schooling | 0.3% (32) | 0.8% (629) |
High School Diploma | 17.8% (1,717) | 20.2% (16,121) |
Less than High School | 7.6% (734) | 15.3% (12,181) |
Bachelor's Degree and Higher | 36.5% (3,517) | 8.3% (6,616) |
Education Levels Comparison: Willow street vs Flint
- In Flint, a larger percentage of residents lack formal schooling at 0.8% compared to 0.3% in Willow street.
- In Flint, the rate of residents with high school diplomas is higher at 20.2% compared to 17.8% in Willow street.
- The percentage of residents with less than a high school education is higher in Flint at 15.3%, 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 8.3% in Flint.
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.