Demographics details for Saylorsburg, PA vs Cudahy, WI
Population Overview
Compare main population characteristics in Saylorsburg, PA vs Cudahy, WI.
| Data | Saylorsburg | Cudahy |
|---|---|---|
| Population | 1,077 | 17,796 |
| Median Age | 48.3 years | 42.4 years |
| Median Income | $85,073 | $66,592 |
| Married Families | 9.0% | 39.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Saylorsburg vs Cudahy
- The population in Cudahy is higher at 17,796, compared to 1,077 in Saylorsburg.
- Residents in Saylorsburg have a higher median age of 48.3 years compared to 42.4 years in Cudahy.
- Saylorsburg has a higher median income of $85,073 compared to $66,592 in Cudahy.
- In Cudahy, the percentage of married families is higher at 39.0%, compared to 9.0% in Saylorsburg.
- The poverty level is higher in Cudahy at 11%, compared to 5% in Saylorsburg.
- The unemployment rate is the same in both Saylorsburg and Cudahy at 3.5%.
Demographics
Demographics Saylorsburg vs Cudahy provide insight into the diversity of the communities to compare.
| Demographic | Saylorsburg | Cudahy |
|---|---|---|
| Black | Data is updating | 3 |
| White | 55 | 77 |
| Asian | 12 | 2 |
| Hispanic | 31 | 9 |
| Two or More Races | 2 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Saylorsburg vs Cudahy
- In Cudahy, the percentage of Black residents is higher at 3% compared to 0% in Saylorsburg.
- The percentage of White residents is higher in Cudahy at 77% compared to 55% in Saylorsburg.
- The Asian population is larger in Saylorsburg at 12% compared to 2% in Cudahy.
- The Hispanic community is larger in Saylorsburg at 31% compared to 9% in Cudahy.
- The percentage of residents identifying as two or more races is higher in Cudahy at 9%, compared to 2% in Saylorsburg.
- The percentage of American Indian residents is the same in both Saylorsburg and Cudahy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Saylorsburg | Cudahy |
|---|---|---|
| Mental Health Not Good | 16.2% | 15.5% |
| Physical Health Not Good | 11.2% | 9.6% |
| Depression | 21.8% | 24.3% |
| Smoking | 18.2% | 16.4% |
| Binge Drinking | 17.9% | 26.4% |
| Obesity | 31.5% | 34.2% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Saylorsburg vs Cudahy
- More residents in Saylorsburg report poor mental health at 16.2% compared to 15.5% in Cudahy.
- Higher depression rates are seen in Cudahy at 24.3% versus 21.8% in Saylorsburg.
- Smoking is more prevalent in Saylorsburg at 18.2% compared to 16.4% in Cudahy.
- More residents engage in binge drinking in Cudahy at 26.4% compared to 17.9% in Saylorsburg.
- Cudahy has higher obesity rates at 34.2% compared to 31.5% in Saylorsburg.
- There is a higher percentage of disabled individuals in Cudahy at 16.0% compared to 11.0% in Saylorsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Saylorsburg | Cudahy |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (166) |
| High School Diploma | 23.9% (257) | 25.1% (4,460) |
| Less than High School | 21.2% (228) | 9.9% (1,768) |
| Bachelor's Degree and Higher | 8.4% (91) | 21.0% (3,730) |
Education Levels Comparison: Saylorsburg vs Cudahy
- In Cudahy, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Saylorsburg.
- In Cudahy, the rate of residents with high school diplomas is higher at 25.1% compared to 23.9% in Saylorsburg.
- More residents in Saylorsburg have less than a high school education at 21.2% compared to 9.9% in Cudahy.
- In Cudahy, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 8.4% in Saylorsburg.
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.