Demographics details for Jefferson, OR vs Stewart, MN
Population Overview
Compare main population characteristics in Jefferson, OR vs Stewart, MN.
| Data | Jefferson | Stewart |
|---|---|---|
| Population | 3,304 | 474 |
| Median Age | 31.7 years | 36.9 years |
| Median Income | $87,604 | $52,813 |
| Married Families | 39.0% | 43.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Jefferson vs Stewart
- In Jefferson, the population is higher at 3,304, compared to 474 in Stewart.
- The median age in Stewart is higher at 36.9 years, compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604 compared to $52,813 in Stewart.
- In Stewart, the percentage of married families is higher at 43.0%, compared to 39.0% in Jefferson.
- Jefferson has a higher poverty level at 10% compared to 0% in Stewart.
- The unemployment rate is the same in both Jefferson and Stewart at 3.5%.
Demographics
Demographics Jefferson vs Stewart provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Stewart |
|---|---|---|
| Black | 2 | Data is updating |
| White | 67 | 70 |
| Asian | Data is updating | Data is updating |
| Hispanic | 20 | 24 |
| Two or More Races | 10 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Jefferson vs Stewart
- A higher percentage of Black residents are in Jefferson at 2% compared to 0% in Stewart.
- The percentage of White residents is higher in Stewart at 70% compared to 67% in Jefferson.
- Both Jefferson and Stewart have the same percentage of Asian residents at 0%.
- Stewart has a higher percentage of Hispanic residents at 24%, compared to 20% in Jefferson.
- More residents identify as two or more races in Jefferson at 10% compared to 6% in Stewart.
- A greater percentage of American Indian residents live in Jefferson at 1% compared to 0% in Stewart.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Stewart |
|---|---|---|
| Mental Health Not Good | 18.4% | 15.1% |
| Physical Health Not Good | 12.0% | 9.6% |
| Depression | 28.9% | 23.1% |
| Smoking | 16.5% | 19.3% |
| Binge Drinking | 16.4% | 20.3% |
| Obesity | 36.5% | 38.6% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Jefferson vs Stewart
- More residents in Jefferson report poor mental health at 18.4% compared to 15.1% in Stewart.
- Depression is more prevalent in Jefferson at 28.9% compared to 23.1% in Stewart.
- Stewart has a higher smoking rate at 19.3% compared to 16.5% in Jefferson.
- More residents engage in binge drinking in Stewart at 20.3% compared to 16.4% in Jefferson.
- Stewart has higher obesity rates at 38.6% compared to 36.5% in Jefferson.
- There is a higher percentage of disabled individuals in Stewart at 20.0% 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 | Jefferson | Stewart |
|---|---|---|
| No Schooling | 2.4% (78) | 0.0% (Data is updating) |
| High School Diploma | 13.0% (430) | 30.8% (146) |
| Less than High School | 13.9% (458) | 13.1% (62) |
| Bachelor's Degree and Higher | 11.0% (363) | 2.5% (12) |
Education Levels Comparison: Jefferson vs Stewart
- A higher percentage of residents in Jefferson have no formal schooling at 2.4% compared to 0.0% in Stewart.
- In Stewart, the rate of residents with high school diplomas is higher at 30.8% compared to 13.0% in Jefferson.
- More residents in Jefferson have less than a high school education at 13.9% compared to 13.1% in Stewart.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 11.0% compared to 2.5% in Stewart.
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.