Demographics details for Gillette, NJ vs Bothell, WA
Population Overview
Compare main population characteristics in Gillette, NJ vs Bothell, WA.
| Data | Gillette | Bothell |
|---|---|---|
| Population | 3,251 | 49,017 |
| Median Age | 41.0 years | 38.0 years |
| Median Income | $145,000 | $127,944 |
| Married Families | 62.0% | 47.0% |
| Poverty Level | 2% | 6% |
| Unemployment Rate | 3.0 | 4.8 |
Population Comparison: Gillette vs Bothell
- The population in Bothell is higher at 49,017, compared to 3,251 in Gillette.
- Residents in Gillette have a higher median age of 41.0 years compared to 38.0 years in Bothell.
- Gillette has a higher median income of $145,000 compared to $127,944 in Bothell.
- A higher percentage of married families is found in Gillette at 62.0% compared to 47.0% in Bothell.
- The poverty level is higher in Bothell at 6%, compared to 2% in Gillette.
- Bothell has a higher unemployment rate at 4.8% compared to 3.0% in Gillette.
Demographics
Demographics Gillette vs Bothell provide insight into the diversity of the communities to compare.
| Demographic | Gillette | Bothell |
|---|---|---|
| Black | 1 | 1 |
| White | 90 | 63 |
| Asian | 4 | 18 |
| Hispanic | 2 | 9 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gillette vs Bothell
- The percentage of Black residents is the same in both Gillette and Bothell at 1%.
- Gillette has a higher percentage of White residents at 90% compared to 63% in Bothell.
- In Bothell, the Asian population stands at 18%, greater than 4% in Gillette.
- Bothell has a higher percentage of Hispanic residents at 9%, compared to 2% in Gillette.
- The percentage of residents identifying as two or more races is higher in Bothell at 9%, compared to 3% in Gillette.
- The percentage of American Indian residents is the same in both Gillette and Bothell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gillette | Bothell |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.0% |
| Physical Health Not Good | Data is updating% | 8.7% |
| Depression | Data is updating% | 25.7% |
| Smoking | Data is updating% | 8.9% |
| Binge Drinking | Data is updating% | 17.5% |
| Obesity | Data is updating% | 26.2% |
| Disability Percentage | Data is updating% | 9.0% |
Health Statistics Comparison: Gillette vs Bothell
- In Bothell, a higher percentage report poor mental health at 15.0% compared to 0.0% in Gillette.
- Higher depression rates are seen in Bothell at 25.7% versus 0.0% in Gillette.
- Bothell has a higher smoking rate at 8.9% compared to 0.0% in Gillette.
- More residents engage in binge drinking in Bothell at 17.5% compared to 0.0% in Gillette.
- Bothell has higher obesity rates at 26.2% compared to 0.0% in Gillette.
- There is a higher percentage of disabled individuals in Bothell at 9.0% compared to 0.0% in Gillette.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gillette | Bothell |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (276) |
| High School Diploma | 0.0% (Data is updating) | 6.4% (3,131) |
| Less than High School | 0.0% (Data is updating) | 5.8% (2,838) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 39.0% (19,107) |
Education Levels Comparison: Gillette vs Bothell
- In Bothell, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Gillette.
- In Bothell, the rate of residents with high school diplomas is higher at 6.4% compared to 0.0% in Gillette.
- The percentage of residents with less than a high school education is higher in Bothell at 5.8%, compared to 0.0% in Gillette.
- In Bothell, a larger share of residents have a bachelor's degree or higher at 39.0% compared to 0.0% in Gillette.
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.