Demographics details for Hudson, WI vs Albany, OR
Population Overview
Compare main population characteristics in Hudson, WI vs Albany, OR.
| Data | Hudson | Albany |
|---|---|---|
| Population | 15,186 | 56,891 |
| Median Age | 39.8 years | 36.5 years |
| Median Income | $90,250 | $69,777 |
| Married Families | 38.0% | 39.0% |
| Poverty Level | 6% | 9% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Hudson vs Albany
- The population in Albany is higher at 56,891, compared to 15,186 in Hudson.
- Residents in Hudson have a higher median age of 39.8 years compared to 36.5 years in Albany.
- Hudson has a higher median income of $90,250 compared to $69,777 in Albany.
- In Albany, the percentage of married families is higher at 39.0%, compared to 38.0% in Hudson.
- The poverty level is higher in Albany at 9%, compared to 6% in Hudson.
- Albany has a higher unemployment rate at 4.2% compared to 3.5% in Hudson.
Demographics
Demographics Hudson vs Albany provide insight into the diversity of the communities to compare.
| Demographic | Hudson | Albany |
|---|---|---|
| Black | 1 | Data is updating |
| White | 89 | 74 |
| Asian | 1 | 2 |
| Hispanic | 5 | 14 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Hudson vs Albany
- A higher percentage of Black residents are in Hudson at 1% compared to 0% in Albany.
- Hudson has a higher percentage of White residents at 89% compared to 74% in Albany.
- In Albany, the Asian population stands at 2%, greater than 1% in Hudson.
- Albany has a higher percentage of Hispanic residents at 14%, compared to 5% in Hudson.
- The percentage of residents identifying as two or more races is higher in Albany at 9%, compared to 4% in Hudson.
- In Albany, the percentage of American Indian residents is higher at 1%, compared to 0% in Hudson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hudson | Albany |
|---|---|---|
| Mental Health Not Good | 13.2% | 18.0% |
| Physical Health Not Good | 8.2% | 11.0% |
| Depression | 21.4% | 27.2% |
| Smoking | 11.6% | 14.1% |
| Binge Drinking | 24.4% | 17.0% |
| Obesity | 34.0% | 35.5% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Hudson vs Albany
- In Albany, a higher percentage report poor mental health at 18.0% compared to 13.2% in Hudson.
- Higher depression rates are seen in Albany at 27.2% versus 21.4% in Hudson.
- Albany has a higher smoking rate at 14.1% compared to 11.6% in Hudson.
- Binge drinking is more common in Hudson at 24.4% compared to 17.0% in Albany.
- Albany has higher obesity rates at 35.5% compared to 34.0% in Hudson.
- There is a higher percentage of disabled individuals in Albany at 15.0% 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 | Albany |
|---|---|---|
| No Schooling | 0.3% (49) | 0.4% (212) |
| High School Diploma | 13.6% (2,071) | 12.4% (7,049) |
| Less than High School | 7.1% (1,071) | 9.2% (5,244) |
| Bachelor's Degree and Higher | 30.7% (4,664) | 18.7% (10,614) |
Education Levels Comparison: Hudson vs Albany
- In Albany, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Hudson.
- A higher percentage of residents in Hudson hold a high school diploma at 13.6% compared to 12.4% in Albany.
- The percentage of residents with less than a high school education is higher in Albany at 9.2%, 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 18.7% in Albany.
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.