Demographics details for Trimble, TN vs Jefferson, WI
Population Overview
Compare main population characteristics in Trimble, TN vs Jefferson, WI.
| Data | Trimble | Jefferson |
|---|---|---|
| Population | 537 | 7,649 |
| Median Age | 39.2 years | 44.8 years |
| Median Income | $50,625 | $69,844 |
| Married Families | 31.0% | 37.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Trimble vs Jefferson
- The population in Jefferson is higher at 7,649, compared to 537 in Trimble.
- The median age in Jefferson is higher at 44.8 years, compared to 39.2 years in Trimble.
- Jefferson has a higher median income of $69,844, compared to $50,625 in Trimble.
- In Jefferson, the percentage of married families is higher at 37.0%, compared to 31.0% in Trimble.
- Trimble has a higher poverty level at 12% compared to 5% in Jefferson.
- The unemployment rate in Trimble is higher at 4.1%, compared to 3.5% in Jefferson.
Demographics
Demographics Trimble vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Trimble | Jefferson |
|---|---|---|
| Black | 3 | 2 |
| White | 87 | 79 |
| Asian | 1 | Data is updating |
| Hispanic | Data is updating | 15 |
| Two or More Races | 9 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Trimble vs Jefferson
- A higher percentage of Black residents are in Trimble at 3% compared to 2% in Jefferson.
- Trimble has a higher percentage of White residents at 87% compared to 79% in Jefferson.
- The Asian population is larger in Trimble at 1% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 15%, compared to 0% in Trimble.
- More residents identify as two or more races in Trimble at 9% compared to 4% in Jefferson.
- The percentage of American Indian residents is the same in both Trimble and Jefferson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Trimble | Jefferson |
|---|---|---|
| Mental Health Not Good | 20.5% | 14.7% |
| Physical Health Not Good | 14.1% | 9.8% |
| Depression | 29.9% | 22.9% |
| Smoking | 23.9% | 15.3% |
| Binge Drinking | 15.7% | 24.2% |
| Obesity | 33.5% | 33.7% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Trimble vs Jefferson
- More residents in Trimble report poor mental health at 20.5% compared to 14.7% in Jefferson.
- Depression is more prevalent in Trimble at 29.9% compared to 22.9% in Jefferson.
- Smoking is more prevalent in Trimble at 23.9% compared to 15.3% in Jefferson.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 15.7% in Trimble.
- Jefferson has higher obesity rates at 33.7% compared to 33.5% in Trimble.
- Disability percentages are higher in Trimble at 14.0% 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 | Trimble | Jefferson |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.8% (215) |
| High School Diploma | 23.6% (127) | 24.4% (1,865) |
| Less than High School | 21.2% (114) | 13.3% (1,019) |
| Bachelor's Degree and Higher | 6.3% (34) | 16.4% (1,254) |
Education Levels Comparison: Trimble vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 0.0% in Trimble.
- In Jefferson, the rate of residents with high school diplomas is higher at 24.4% compared to 23.6% in Trimble.
- More residents in Trimble have less than a high school education at 21.2% compared to 13.3% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 16.4% compared to 6.3% in Trimble.
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.