Demographics details for Bothell, WA vs Jefferson, SD
Population Overview
Compare main population characteristics in Bothell, WA vs Jefferson, SD.
| Data | Bothell | Jefferson |
|---|---|---|
| Population | 49,017 | 457 |
| Median Age | 38.0 years | 37.1 years |
| Median Income | $127,944 | $77,601 |
| Married Families | 47.0% | 59.0% |
| Poverty Level | 6% | 5% |
| Unemployment Rate | 4.8 | 2.3 |
Population Comparison: Bothell vs Jefferson
- In Bothell, the population is higher at 49,017, compared to 457 in Jefferson.
- Residents in Bothell have a higher median age of 38.0 years compared to 37.1 years in Jefferson.
- Bothell has a higher median income of $127,944 compared to $77,601 in Jefferson.
- In Jefferson, the percentage of married families is higher at 59.0%, compared to 47.0% in Bothell.
- Bothell has a higher poverty level at 6% compared to 5% in Jefferson.
- The unemployment rate in Bothell is higher at 4.8%, compared to 2.3% in Jefferson.
Demographics
Demographics Bothell vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Bothell | Jefferson |
|---|---|---|
| Black | 1 | Data is updating |
| White | 63 | 85 |
| Asian | 18 | Data is updating |
| Hispanic | 9 | 6 |
| Two or More Races | 9 | 4 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Bothell vs Jefferson
- A higher percentage of Black residents are in Bothell at 1% compared to 0% in Jefferson.
- The percentage of White residents is higher in Jefferson at 85% compared to 63% in Bothell.
- The Asian population is larger in Bothell at 18% compared to 0% in Jefferson.
- The Hispanic community is larger in Bothell at 9% compared to 6% in Jefferson.
- More residents identify as two or more races in Bothell at 9% compared to 4% in Jefferson.
- In Jefferson, the percentage of American Indian residents is higher at 5%, compared to 0% in Bothell.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bothell | Jefferson |
|---|---|---|
| Mental Health Not Good | 15.0% | 12.5% |
| Physical Health Not Good | 8.7% | 8.2% |
| Depression | 25.7% | 16.7% |
| Smoking | 8.9% | 14.5% |
| Binge Drinking | 17.5% | 20.4% |
| Obesity | 26.2% | 38.6% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Bothell vs Jefferson
- More residents in Bothell report poor mental health at 15.0% compared to 12.5% in Jefferson.
- Depression is more prevalent in Bothell at 25.7% compared to 16.7% in Jefferson.
- Jefferson has a higher smoking rate at 14.5% compared to 8.9% in Bothell.
- More residents engage in binge drinking in Jefferson at 20.4% compared to 17.5% in Bothell.
- Jefferson has higher obesity rates at 38.6% compared to 26.2% in Bothell.
- There is a higher percentage of disabled individuals in Jefferson at 14.0% compared to 9.0% in Bothell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bothell | Jefferson |
|---|---|---|
| No Schooling | 0.6% (276) | 0.0% (Data is updating) |
| High School Diploma | 6.4% (3,131) | 22.3% (102) |
| Less than High School | 5.8% (2,838) | 7.9% (36) |
| Bachelor's Degree and Higher | 39.0% (19,107) | 23.0% (105) |
Education Levels Comparison: Bothell vs Jefferson
- A higher percentage of residents in Bothell have no formal schooling at 0.6% compared to 0.0% in Jefferson.
- In Jefferson, the rate of residents with high school diplomas is higher at 22.3% compared to 6.4% in Bothell.
- The percentage of residents with less than a high school education is higher in Jefferson at 7.9%, compared to 5.8% in Bothell.
- A higher percentage of residents in Bothell hold a bachelor's degree or higher at 39.0% compared to 23.0% 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.