Demographics details for Lake stevens, WA vs Gray, ME
Population Overview
Compare main population characteristics in Lake stevens, WA vs Gray, ME.
| Data | Lake stevens | Gray |
|---|---|---|
| Population | 39,848 | 7,761 |
| Median Age | 34.4 years | 43.0 years |
| Median Income | $111,821 | $81,712 |
| Married Families | 43.0% | 60.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 5.3 | 2.1 |
Population Comparison: Lake stevens vs Gray
- In Lake stevens, the population is higher at 39,848, compared to 7,761 in Gray.
- The median age in Gray is higher at 43.0 years, compared to 34.4 years in Lake stevens.
- Lake stevens has a higher median income of $111,821 compared to $81,712 in Gray.
- In Gray, the percentage of married families is higher at 60.0%, compared to 43.0% in Lake stevens.
- Lake stevens has a higher poverty level at 7% compared to 5% in Gray.
- The unemployment rate in Lake stevens is higher at 5.3%, compared to 2.1% in Gray.
Demographics
Demographics Lake stevens vs Gray provide insight into the diversity of the communities to compare.
| Demographic | Lake stevens | Gray |
|---|---|---|
| Black | 3 | 1 |
| White | 69 | 95 |
| Asian | 7 | 1 |
| Hispanic | 10 | 3 |
| Two or More Races | 10 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lake stevens vs Gray
- A higher percentage of Black residents are in Lake stevens at 3% compared to 1% in Gray.
- The percentage of White residents is higher in Gray at 95% compared to 69% in Lake stevens.
- The Asian population is larger in Lake stevens at 7% compared to 1% in Gray.
- The Hispanic community is larger in Lake stevens at 10% compared to 3% in Gray.
- More residents identify as two or more races in Lake stevens at 10% compared to 2% in Gray.
- A greater percentage of American Indian residents live in Lake stevens at 1% compared to 0% in Gray.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lake stevens | Gray |
|---|---|---|
| Mental Health Not Good | 16.7% | Data is updating% |
| Physical Health Not Good | 10.4% | Data is updating% |
| Depression | 29.7% | Data is updating% |
| Smoking | 11.7% | Data is updating% |
| Binge Drinking | 16.8% | Data is updating% |
| Obesity | 33.0% | Data is updating% |
| Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Lake stevens vs Gray
- More residents in Lake stevens report poor mental health at 16.7% compared to 0.0% in Gray.
- Depression is more prevalent in Lake stevens at 29.7% compared to 0.0% in Gray.
- Smoking is more prevalent in Lake stevens at 11.7% compared to 0.0% in Gray.
- Binge drinking is more common in Lake stevens at 16.8% compared to 0.0% in Gray.
- Obesity rates are higher in Lake stevens at 33.0% compared to 0.0% in Gray.
- Disability percentages are higher in Lake stevens at 9.0% compared to 0.0% in Gray.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lake stevens | Gray |
|---|---|---|
| No Schooling | 0.4% (144) | 0.0% (Data is updating) |
| High School Diploma | 13.7% (5,469) | 0.0% (Data is updating) |
| Less than High School | 6.6% (2,647) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 20.5% (8,151) | 0.0% (Data is updating) |
Education Levels Comparison: Lake stevens vs Gray
- A higher percentage of residents in Lake stevens have no formal schooling at 0.4% compared to 0.0% in Gray.
- A higher percentage of residents in Lake stevens hold a high school diploma at 13.7% compared to 0.0% in Gray.
- More residents in Lake stevens have less than a high school education at 6.6% compared to 0.0% in Gray.
- A higher percentage of residents in Lake stevens hold a bachelor's degree or higher at 20.5% compared to 0.0% in Gray.
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.