Demographics details for Spokane valley, WA vs Erwin, TN
Population Overview
Compare main population characteristics in Spokane valley, WA vs Erwin, TN.
| Data | Spokane valley | Erwin |
|---|---|---|
| Population | 107,325 | 5,953 |
| Median Age | 37.4 years | 46.8 years |
| Median Income | $66,483 | $40,670 |
| Married Families | 37.0% | 48.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Spokane valley vs Erwin
- In Spokane valley, the population is higher at 107,325, compared to 5,953 in Erwin.
- The median age in Erwin is higher at 46.8 years, compared to 37.4 years in Spokane valley.
- Spokane valley has a higher median income of $66,483 compared to $40,670 in Erwin.
- In Erwin, the percentage of married families is higher at 48.0%, compared to 37.0% in Spokane valley.
- The poverty level is higher in Erwin at 12%, compared to 10% in Spokane valley.
- Erwin has a higher unemployment rate at 4.5% compared to 4.1% in Spokane valley.
Demographics
Demographics Spokane valley vs Erwin provide insight into the diversity of the communities to compare.
| Demographic | Spokane valley | Erwin |
|---|---|---|
| Black | 1 | Data is updating |
| White | 82 | 87 |
| Asian | 2 | Data is updating |
| Hispanic | 7 | 8 |
| Two or More Races | 7 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Spokane valley vs Erwin
- A higher percentage of Black residents are in Spokane valley at 1% compared to 0% in Erwin.
- The percentage of White residents is higher in Erwin at 87% compared to 82% in Spokane valley.
- The Asian population is larger in Spokane valley at 2% compared to 0% in Erwin.
- Erwin has a higher percentage of Hispanic residents at 8%, compared to 7% in Spokane valley.
- More residents identify as two or more races in Spokane valley at 7% compared to 5% in Erwin.
- A greater percentage of American Indian residents live in Spokane valley at 1% compared to 0% in Erwin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spokane valley | Erwin |
|---|---|---|
| Mental Health Not Good | 18.3% | 20.2% |
| Physical Health Not Good | 11.5% | 14.1% |
| Depression | 28.7% | 29.7% |
| Smoking | 15.3% | 23.6% |
| Binge Drinking | 18.5% | 15.9% |
| Obesity | 29.7% | 38.0% |
| Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Spokane valley vs Erwin
- In Erwin, a higher percentage report poor mental health at 20.2% compared to 18.3% in Spokane valley.
- Higher depression rates are seen in Erwin at 29.7% versus 28.7% in Spokane valley.
- Erwin has a higher smoking rate at 23.6% compared to 15.3% in Spokane valley.
- Binge drinking is more common in Spokane valley at 18.5% compared to 15.9% in Erwin.
- Erwin has higher obesity rates at 38.0% compared to 29.7% in Spokane valley.
- There is a higher percentage of disabled individuals in Erwin at 21.0% compared to 16.0% in Spokane valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spokane valley | Erwin |
|---|---|---|
| No Schooling | 0.6% (596) | 0.3% (15) |
| High School Diploma | 15.6% (16,779) | 20.2% (1,201) |
| Less than High School | 7.2% (7,741) | 19.7% (1,170) |
| Bachelor's Degree and Higher | 17.1% (18,346) | 11.7% (698) |
Education Levels Comparison: Spokane valley vs Erwin
- A higher percentage of residents in Spokane valley have no formal schooling at 0.6% compared to 0.3% in Erwin.
- In Erwin, the rate of residents with high school diplomas is higher at 20.2% compared to 15.6% in Spokane valley.
- The percentage of residents with less than a high school education is higher in Erwin at 19.7%, compared to 7.2% in Spokane valley.
- A higher percentage of residents in Spokane valley hold a bachelor's degree or higher at 17.1% compared to 11.7% in Erwin.
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.