Demographics details for Pottstown, PA vs Jefferson, WI
Population Overview
Compare main population characteristics in Pottstown, PA vs Jefferson, WI.
| Data | Pottstown | Jefferson |
|---|---|---|
| Population | 23,377 | 7,649 |
| Median Age | 35.2 years | 44.8 years |
| Median Income | $57,647 | $69,844 |
| Married Families | 29.0% | 37.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Pottstown vs Jefferson
- In Pottstown, the population is higher at 23,377, compared to 7,649 in Jefferson.
- The median age in Jefferson is higher at 44.8 years, compared to 35.2 years in Pottstown.
- Jefferson has a higher median income of $69,844, compared to $57,647 in Pottstown.
- In Jefferson, the percentage of married families is higher at 37.0%, compared to 29.0% in Pottstown.
- Pottstown has a higher poverty level at 12% compared to 5% in Jefferson.
- The unemployment rate in Pottstown is higher at 4.5%, compared to 3.5% in Jefferson.
Demographics
Demographics Pottstown vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Pottstown | Jefferson |
|---|---|---|
| Black | 21 | 2 |
| White | 56 | 79 |
| Asian | 1 | Data is updating |
| Hispanic | 11 | 15 |
| Two or More Races | 11 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pottstown vs Jefferson
- A higher percentage of Black residents are in Pottstown at 21% compared to 2% in Jefferson.
- The percentage of White residents is higher in Jefferson at 79% compared to 56% in Pottstown.
- The Asian population is larger in Pottstown at 1% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 15%, compared to 11% in Pottstown.
- More residents identify as two or more races in Pottstown at 11% compared to 4% in Jefferson.
- The percentage of American Indian residents is the same in both Pottstown and Jefferson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pottstown | Jefferson |
|---|---|---|
| Mental Health Not Good | 18.3% | 14.7% |
| Physical Health Not Good | 12.9% | 9.8% |
| Depression | 22.6% | 22.9% |
| Smoking | 20.5% | 15.3% |
| Binge Drinking | 16.8% | 24.2% |
| Obesity | 37.4% | 33.7% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Pottstown vs Jefferson
- More residents in Pottstown report poor mental health at 18.3% compared to 14.7% in Jefferson.
- Higher depression rates are seen in Jefferson at 22.9% versus 22.6% in Pottstown.
- Smoking is more prevalent in Pottstown at 20.5% compared to 15.3% in Jefferson.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 16.8% in Pottstown.
- Obesity rates are higher in Pottstown at 37.4% compared to 33.7% in Jefferson.
- Disability percentages are higher in Pottstown at 16.0% compared to 13.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pottstown | Jefferson |
|---|---|---|
| No Schooling | 0.6% (149) | 2.8% (215) |
| High School Diploma | 23.3% (5,458) | 24.4% (1,865) |
| Less than High School | 11.7% (2,744) | 13.3% (1,019) |
| Bachelor's Degree and Higher | 14.3% (3,346) | 16.4% (1,254) |
Education Levels Comparison: Pottstown vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 0.6% in Pottstown.
- In Jefferson, the rate of residents with high school diplomas is higher at 24.4% compared to 23.3% in Pottstown.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.3%, compared to 11.7% in Pottstown.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 16.4% compared to 14.3% in Pottstown.
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.