Demographics details for Hudson, WI vs Avella, PA
Population Overview
Compare main population characteristics in Hudson, WI vs Avella, PA.
| Data | Hudson | Avella |
|---|---|---|
| Population | 15,186 | 798 |
| Median Age | 39.8 years | 33.2 years |
| Median Income | $90,250 | $61,806 |
| Married Families | 38.0% | 28.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Hudson vs Avella
- In Hudson, the population is higher at 15,186, compared to 798 in Avella.
- Residents in Hudson have a higher median age of 39.8 years compared to 33.2 years in Avella.
- Hudson has a higher median income of $90,250 compared to $61,806 in Avella.
- A higher percentage of married families is found in Hudson at 38.0% compared to 28.0% in Avella.
- The poverty level is higher in Avella at 10%, compared to 6% in Hudson.
- Avella has a higher unemployment rate at 4.5% compared to 3.5% in Hudson.
Demographics
Demographics Hudson vs Avella provide insight into the diversity of the communities to compare.
| Demographic | Hudson | Avella |
|---|---|---|
| Black | 1 | Data is updating |
| White | 89 | 96 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hudson vs Avella
- A higher percentage of Black residents are in Hudson at 1% compared to 0% in Avella.
- The percentage of White residents is higher in Avella at 96% compared to 89% in Hudson.
- The Asian population is larger in Hudson at 1% compared to 0% in Avella.
- The Hispanic community is larger in Hudson at 5% compared to 0% in Avella.
- Both Hudson and Avella have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Hudson and Avella at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hudson | Avella |
|---|---|---|
| Mental Health Not Good | 13.2% | 16.5% |
| Physical Health Not Good | 8.2% | 11.0% |
| Depression | 21.4% | 22.2% |
| Smoking | 11.6% | 19.0% |
| Binge Drinking | 24.4% | 19.1% |
| Obesity | 34.0% | 34.4% |
| Disability Percentage | 10.0% | 27.0% |
Health Statistics Comparison: Hudson vs Avella
- In Avella, a higher percentage report poor mental health at 16.5% compared to 13.2% in Hudson.
- Higher depression rates are seen in Avella at 22.2% versus 21.4% in Hudson.
- Avella has a higher smoking rate at 19.0% compared to 11.6% in Hudson.
- Binge drinking is more common in Hudson at 24.4% compared to 19.1% in Avella.
- Avella has higher obesity rates at 34.4% compared to 34.0% in Hudson.
- There is a higher percentage of disabled individuals in Avella at 27.0% compared to 10.0% in Hudson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hudson | Avella |
|---|---|---|
| No Schooling | 0.3% (49) | 0.0% (Data is updating) |
| High School Diploma | 13.6% (2,071) | 26.6% (212) |
| Less than High School | 7.1% (1,071) | 17.3% (138) |
| Bachelor's Degree and Higher | 30.7% (4,664) | 7.5% (60) |
Education Levels Comparison: Hudson vs Avella
- A higher percentage of residents in Hudson have no formal schooling at 0.3% compared to 0.0% in Avella.
- In Avella, the rate of residents with high school diplomas is higher at 26.6% compared to 13.6% in Hudson.
- The percentage of residents with less than a high school education is higher in Avella at 17.3%, compared to 7.1% in Hudson.
- A higher percentage of residents in Hudson hold a bachelor's degree or higher at 30.7% compared to 7.5% in Avella.
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.