Demographics details for Tatamy, PA vs Jefferson, WI
Population Overview
Compare main population characteristics in Tatamy, PA vs Jefferson, WI.
| Data | Tatamy | Jefferson |
|---|---|---|
| Population | 1,369 | 7,649 |
| Median Age | 40.7 years | 44.8 years |
| Median Income | $97,857 | $69,844 |
| Married Families | 36.0% | 37.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Tatamy vs Jefferson
- The population in Jefferson is higher at 7,649, compared to 1,369 in Tatamy.
- The median age in Jefferson is higher at 44.8 years, compared to 40.7 years in Tatamy.
- Tatamy has a higher median income of $97,857 compared to $69,844 in Jefferson.
- In Jefferson, the percentage of married families is higher at 37.0%, compared to 36.0% in Tatamy.
- The poverty level is identical in both Tatamy and Jefferson at 5%.
- The unemployment rate is the same in both Tatamy and Jefferson at 3.5%.
Demographics
Demographics Tatamy vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Tatamy | Jefferson |
|---|---|---|
| Black | 4 | 2 |
| White | 88 | 79 |
| Asian | 1 | Data is updating |
| Hispanic | 6 | 15 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tatamy vs Jefferson
- A higher percentage of Black residents are in Tatamy at 4% compared to 2% in Jefferson.
- Tatamy has a higher percentage of White residents at 88% compared to 79% in Jefferson.
- The Asian population is larger in Tatamy at 1% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 15%, compared to 6% in Tatamy.
- The percentage of residents identifying as two or more races is higher in Jefferson at 4%, compared to 1% in Tatamy.
- The percentage of American Indian residents is the same in both Tatamy and Jefferson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tatamy | Jefferson |
|---|---|---|
| Mental Health Not Good | 15.8% | 14.7% |
| Physical Health Not Good | 10.1% | 9.8% |
| Depression | 21.9% | 22.9% |
| Smoking | 16.2% | 15.3% |
| Binge Drinking | 20.3% | 24.2% |
| Obesity | 31.0% | 33.7% |
| Disability Percentage | 6.0% | 13.0% |
Health Statistics Comparison: Tatamy vs Jefferson
- More residents in Tatamy report poor mental health at 15.8% compared to 14.7% in Jefferson.
- Higher depression rates are seen in Jefferson at 22.9% versus 21.9% in Tatamy.
- Smoking is more prevalent in Tatamy at 16.2% compared to 15.3% in Jefferson.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 20.3% in Tatamy.
- Jefferson has higher obesity rates at 33.7% compared to 31.0% in Tatamy.
- There is a higher percentage of disabled individuals in Jefferson at 13.0% compared to 6.0% in Tatamy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tatamy | Jefferson |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.8% (215) |
| High School Diploma | 20.2% (277) | 24.4% (1,865) |
| Less than High School | 1.9% (26) | 13.3% (1,019) |
| Bachelor's Degree and Higher | 17.1% (234) | 16.4% (1,254) |
Education Levels Comparison: Tatamy vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 0.0% in Tatamy.
- In Jefferson, the rate of residents with high school diplomas is higher at 24.4% compared to 20.2% in Tatamy.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.3%, compared to 1.9% in Tatamy.
- A higher percentage of residents in Tatamy hold a bachelor's degree or higher at 17.1% compared to 16.4% in Jefferson.
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.