Demographics details for Spokane valley, WA vs Green, OH
Population Overview
Compare main population characteristics in Spokane valley, WA vs Green, OH.
| Data | Spokane valley | Green |
|---|---|---|
| Population | 107,325 | 27,269 |
| Median Age | 37.4 years | 41.1 years |
| Median Income | $66,483 | $90,419 |
| Married Families | 37.0% | 45.0% |
| Poverty Level | 10% | 4% |
| Unemployment Rate | 4.1 | 4.7 |
Population Comparison: Spokane valley vs Green
- In Spokane valley, the population is higher at 107,325, compared to 27,269 in Green.
- The median age in Green is higher at 41.1 years, compared to 37.4 years in Spokane valley.
- Green has a higher median income of $90,419, compared to $66,483 in Spokane valley.
- In Green, the percentage of married families is higher at 45.0%, compared to 37.0% in Spokane valley.
- Spokane valley has a higher poverty level at 10% compared to 4% in Green.
- Green has a higher unemployment rate at 4.7% compared to 4.1% in Spokane valley.
Demographics
Demographics Spokane valley vs Green provide insight into the diversity of the communities to compare.
| Demographic | Spokane valley | Green |
|---|---|---|
| Black | 1 | 1 |
| White | 82 | 94 |
| Asian | 2 | 1 |
| Hispanic | 7 | 1 |
| Two or More Races | 7 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Spokane valley vs Green
- The percentage of Black residents is the same in both Spokane valley and Green at 1%.
- The percentage of White residents is higher in Green at 94% compared to 82% in Spokane valley.
- The Asian population is larger in Spokane valley at 2% compared to 1% in Green.
- The Hispanic community is larger in Spokane valley at 7% compared to 1% in Green.
- More residents identify as two or more races in Spokane valley at 7% compared to 3% in Green.
- A greater percentage of American Indian residents live in Spokane valley at 1% compared to 0% in Green.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spokane valley | Green |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.6% |
| Physical Health Not Good | 11.5% | 10.5% |
| Depression | 28.7% | 24.7% |
| Smoking | 15.3% | 17.4% |
| Binge Drinking | 18.5% | 19.1% |
| Obesity | 29.7% | 40.2% |
| Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Spokane valley vs Green
- More residents in Spokane valley report poor mental health at 18.3% compared to 16.6% in Green.
- Depression is more prevalent in Spokane valley at 28.7% compared to 24.7% in Green.
- Green has a higher smoking rate at 17.4% compared to 15.3% in Spokane valley.
- More residents engage in binge drinking in Green at 19.1% compared to 18.5% in Spokane valley.
- Green has higher obesity rates at 40.2% compared to 29.7% in Spokane valley.
- Disability percentages are higher in Spokane valley at 16.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spokane valley | Green |
|---|---|---|
| No Schooling | 0.6% (596) | 0.2% (46) |
| High School Diploma | 15.6% (16,779) | 16.6% (4,514) |
| Less than High School | 7.2% (7,741) | 3.0% (828) |
| Bachelor's Degree and Higher | 17.1% (18,346) | 29.3% (7,977) |
Education Levels Comparison: Spokane valley vs Green
- A higher percentage of residents in Spokane valley have no formal schooling at 0.6% compared to 0.2% in Green.
- In Green, the rate of residents with high school diplomas is higher at 16.6% compared to 15.6% in Spokane valley.
- More residents in Spokane valley have less than a high school education at 7.2% compared to 3.0% in Green.
- In Green, a larger share of residents have a bachelor's degree or higher at 29.3% compared to 17.1% in Spokane valley.
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.