Demographics details for Jefferson, SD vs Blue mounds, WI
Population Overview
Compare main population characteristics in Jefferson, SD vs Blue mounds, WI.
| Data | Jefferson | Blue mounds |
|---|---|---|
| Population | 457 | 924 |
| Median Age | 37.1 years | 37.0 years |
| Median Income | $77,601 | $71,094 |
| Married Families | 59.0% | 34.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 2.3 | 2.4 |
Population Comparison: Jefferson vs Blue mounds
- The population in Blue mounds is higher at 924, compared to 457 in Jefferson.
- Residents in Jefferson have a higher median age of 37.1 years compared to 37.0 years in Blue mounds.
- Jefferson has a higher median income of $77,601 compared to $71,094 in Blue mounds.
- A higher percentage of married families is found in Jefferson at 59.0% compared to 34.0% in Blue mounds.
- The poverty level is higher in Blue mounds at 8%, compared to 5% in Jefferson.
- Blue mounds has a higher unemployment rate at 2.4% compared to 2.3% in Jefferson.
Demographics
Demographics Jefferson vs Blue mounds provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Blue mounds |
|---|---|---|
| Black | Data is updating | 1 |
| White | 85 | 96 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 1 |
| Two or More Races | 4 | 2 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Jefferson vs Blue mounds
- In Blue mounds, the percentage of Black residents is higher at 1% compared to 0% in Jefferson.
- The percentage of White residents is higher in Blue mounds at 96% compared to 85% in Jefferson.
- Both Jefferson and Blue mounds have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Jefferson at 6% compared to 1% in Blue mounds.
- More residents identify as two or more races in Jefferson at 4% compared to 2% in Blue mounds.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 0% in Blue mounds.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Blue mounds |
|---|---|---|
| Mental Health Not Good | 12.5% | 13.4% |
| Physical Health Not Good | 8.2% | 7.8% |
| Depression | 16.7% | 24.2% |
| Smoking | 14.5% | 11.9% |
| Binge Drinking | 20.4% | 25.4% |
| Obesity | 38.6% | 27.3% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Jefferson vs Blue mounds
- In Blue mounds, a higher percentage report poor mental health at 13.4% compared to 12.5% in Jefferson.
- Higher depression rates are seen in Blue mounds at 24.2% versus 16.7% in Jefferson.
- Smoking is more prevalent in Jefferson at 14.5% compared to 11.9% in Blue mounds.
- More residents engage in binge drinking in Blue mounds at 25.4% compared to 20.4% in Jefferson.
- Obesity rates are higher in Jefferson at 38.6% compared to 27.3% in Blue mounds.
- Disability percentages are higher in Jefferson at 14.0% compared to 11.0% in Blue mounds.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Blue mounds |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (102) | 15.3% (141) |
| Less than High School | 7.9% (36) | 9.0% (83) |
| Bachelor's Degree and Higher | 23.0% (105) | 19.7% (182) |
Education Levels Comparison: Jefferson vs Blue mounds
- The percentage of residents with no formal schooling is the same in both Jefferson and Blue mounds at 0.0%.
- A higher percentage of residents in Jefferson hold a high school diploma at 22.3% compared to 15.3% in Blue mounds.
- The percentage of residents with less than a high school education is higher in Blue mounds at 9.0%, compared to 7.9% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 23.0% compared to 19.7% in Blue mounds.
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.