Demographics details for Somers, MT vs Jefferson, WI
Population Overview
Compare main population characteristics in Somers, MT vs Jefferson, WI.
| Data | Somers | Jefferson |
|---|---|---|
| Population | 1,037 | 7,649 |
| Median Age | 64.2 years | 44.8 years |
| Median Income | $54,466 | $69,844 |
| Married Families | 67.0% | 37.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Somers vs Jefferson
- The population in Jefferson is higher at 7,649, compared to 1,037 in Somers.
- Residents in Somers have a higher median age of 64.2 years compared to 44.8 years in Jefferson.
- Jefferson has a higher median income of $69,844, compared to $54,466 in Somers.
- A higher percentage of married families is found in Somers at 67.0% compared to 37.0% in Jefferson.
- Somers has a higher poverty level at 9% compared to 5% in Jefferson.
- The unemployment rate is the same in both Somers and Jefferson at 3.5%.
Demographics
Demographics Somers vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Somers | Jefferson |
|---|---|---|
| Black | Data is updating | 2 |
| White | 100 | 79 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 15 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Somers vs Jefferson
- In Jefferson, the percentage of Black residents is higher at 2% compared to 0% in Somers.
- Somers has a higher percentage of White residents at 100% compared to 79% in Jefferson.
- Both Somers and Jefferson have the same percentage of Asian residents at 0%.
- Jefferson has a higher percentage of Hispanic residents at 15%, compared to 0% in Somers.
- The percentage of residents identifying as two or more races is higher in Jefferson at 4%, compared to 0% in Somers.
- The percentage of American Indian residents is the same in both Somers and Jefferson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Somers | Jefferson |
|---|---|---|
| Mental Health Not Good | 15.2% | 14.7% |
| Physical Health Not Good | 10.2% | 9.8% |
| Depression | 22.0% | 22.9% |
| Smoking | 15.0% | 15.3% |
| Binge Drinking | 21.1% | 24.2% |
| Obesity | 31.4% | 33.7% |
| Disability Percentage | 61.0% | 13.0% |
Health Statistics Comparison: Somers vs Jefferson
- More residents in Somers report poor mental health at 15.2% compared to 14.7% in Jefferson.
- Higher depression rates are seen in Jefferson at 22.9% versus 22.0% in Somers.
- Jefferson has a higher smoking rate at 15.3% compared to 15.0% in Somers.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 21.1% in Somers.
- Jefferson has higher obesity rates at 33.7% compared to 31.4% in Somers.
- Disability percentages are higher in Somers at 61.0% 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 | Somers | Jefferson |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.8% (215) |
| High School Diploma | 30.6% (317) | 24.4% (1,865) |
| Less than High School | 46.3% (480) | 13.3% (1,019) |
| Bachelor's Degree and Higher | 23.4% (243) | 16.4% (1,254) |
Education Levels Comparison: Somers vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 0.0% in Somers.
- A higher percentage of residents in Somers hold a high school diploma at 30.6% compared to 24.4% in Jefferson.
- More residents in Somers have less than a high school education at 46.3% compared to 13.3% in Jefferson.
- A higher percentage of residents in Somers hold a bachelor's degree or higher at 23.4% 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.