Demographics details for Everett, WA vs Roaring spring, PA
Population Overview
Compare main population characteristics in Everett, WA vs Roaring spring, PA.
| Data | Everett | Roaring spring |
|---|---|---|
| Population | 111,337 | 2,333 |
| Median Age | 36.4 years | 36.1 years |
| Median Income | $77,806 | $63,194 |
| Married Families | 34.0% | 43.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 5.1 | 5.0 |
Population Comparison: Everett vs Roaring spring
- In Everett, the population is higher at 111,337, compared to 2,333 in Roaring spring.
- Residents in Everett have a higher median age of 36.4 years compared to 36.1 years in Roaring spring.
- Everett has a higher median income of $77,806 compared to $63,194 in Roaring spring.
- In Roaring spring, the percentage of married families is higher at 43.0%, compared to 34.0% in Everett.
- The poverty level is identical in both Everett and Roaring spring at 10%.
- The unemployment rate in Everett is higher at 5.1%, compared to 5.0% in Roaring spring.
Demographics
Demographics Everett vs Roaring spring provide insight into the diversity of the communities to compare.
| Demographic | Everett | Roaring spring |
|---|---|---|
| Black | 6 | 1 |
| White | 56 | 91 |
| Asian | 10 | Data is updating |
| Hispanic | 17 | 3 |
| Two or More Races | 10 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Everett vs Roaring spring
- A higher percentage of Black residents are in Everett at 6% compared to 1% in Roaring spring.
- The percentage of White residents is higher in Roaring spring at 91% compared to 56% in Everett.
- The Asian population is larger in Everett at 10% compared to 0% in Roaring spring.
- The Hispanic community is larger in Everett at 17% compared to 3% in Roaring spring.
- More residents identify as two or more races in Everett at 10% compared to 5% in Roaring spring.
- A greater percentage of American Indian residents live in Everett at 1% compared to 0% in Roaring spring.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everett | Roaring spring |
|---|---|---|
| Mental Health Not Good | 18.1% | 18.2% |
| Physical Health Not Good | 12.4% | 12.2% |
| Depression | 29.8% | 25.5% |
| Smoking | 14.5% | 21.4% |
| Binge Drinking | 15.3% | 18.5% |
| Obesity | 35.3% | 34.7% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Everett vs Roaring spring
- In Roaring spring, a higher percentage report poor mental health at 18.2% compared to 18.1% in Everett.
- Depression is more prevalent in Everett at 29.8% compared to 25.5% in Roaring spring.
- Roaring spring has a higher smoking rate at 21.4% compared to 14.5% in Everett.
- More residents engage in binge drinking in Roaring spring at 18.5% compared to 15.3% in Everett.
- Obesity rates are higher in Everett at 35.3% compared to 34.7% in Roaring spring.
- Disability percentages are the same in both Everett and Roaring spring at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everett | Roaring spring |
|---|---|---|
| No Schooling | 1.4% (1,505) | 0.4% (9) |
| High School Diploma | 14.6% (16,295) | 25.9% (605) |
| Less than High School | 13.8% (15,320) | 7.2% (168) |
| Bachelor's Degree and Higher | 18.9% (21,025) | 13.5% (316) |
Education Levels Comparison: Everett vs Roaring spring
- A higher percentage of residents in Everett have no formal schooling at 1.4% compared to 0.4% in Roaring spring.
- In Roaring spring, the rate of residents with high school diplomas is higher at 25.9% compared to 14.6% in Everett.
- More residents in Everett have less than a high school education at 13.8% compared to 7.2% in Roaring spring.
- A higher percentage of residents in Everett hold a bachelor's degree or higher at 18.9% compared to 13.5% in Roaring spring.
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.