Demographics details for Spokane valley, WA vs Butler, MO
Population Overview
Compare main population characteristics in Spokane valley, WA vs Butler, MO.
| Data | Spokane valley | Butler |
|---|---|---|
| Population | 107,325 | 4,246 |
| Median Age | 37.4 years | 36.7 years |
| Median Income | $66,483 | $33,548 |
| Married Families | 37.0% | 35.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 4.1 | 4.3 |
Population Comparison: Spokane valley vs Butler
- In Spokane valley, the population is higher at 107,325, compared to 4,246 in Butler.
- Residents in Spokane valley have a higher median age of 37.4 years compared to 36.7 years in Butler.
- Spokane valley has a higher median income of $66,483 compared to $33,548 in Butler.
- A higher percentage of married families is found in Spokane valley at 37.0% compared to 35.0% in Butler.
- The poverty level is higher in Butler at 14%, compared to 10% in Spokane valley.
- Butler has a higher unemployment rate at 4.3% compared to 4.1% in Spokane valley.
Demographics
Demographics Spokane valley vs Butler provide insight into the diversity of the communities to compare.
| Demographic | Spokane valley | Butler |
|---|---|---|
| Black | 1 | 6 |
| White | 82 | 89 |
| Asian | 2 | 1 |
| Hispanic | 7 | 1 |
| Two or More Races | 7 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Spokane valley vs Butler
- In Butler, the percentage of Black residents is higher at 6% compared to 1% in Spokane valley.
- The percentage of White residents is higher in Butler at 89% compared to 82% in Spokane valley.
- The Asian population is larger in Spokane valley at 2% compared to 1% in Butler.
- The Hispanic community is larger in Spokane valley at 7% compared to 1% in Butler.
- More residents identify as two or more races in Spokane valley at 7% compared to 3% in Butler.
- A greater percentage of American Indian residents live in Spokane valley at 1% compared to 0% in Butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spokane valley | Butler |
|---|---|---|
| Mental Health Not Good | 18.3% | 20.0% |
| Physical Health Not Good | 11.5% | 15.0% |
| Depression | 28.7% | 27.0% |
| Smoking | 15.3% | 26.2% |
| Binge Drinking | 18.5% | 16.4% |
| Obesity | 29.7% | 42.8% |
| Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Spokane valley vs Butler
- In Butler, a higher percentage report poor mental health at 20.0% compared to 18.3% in Spokane valley.
- Depression is more prevalent in Spokane valley at 28.7% compared to 27.0% in Butler.
- Butler has a higher smoking rate at 26.2% compared to 15.3% in Spokane valley.
- Binge drinking is more common in Spokane valley at 18.5% compared to 16.4% in Butler.
- Butler has higher obesity rates at 42.8% compared to 29.7% in Spokane valley.
- There is a higher percentage of disabled individuals in Butler 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 | Butler |
|---|---|---|
| No Schooling | 0.6% (596) | 0.7% (31) |
| High School Diploma | 15.6% (16,779) | 37.8% (1,605) |
| Less than High School | 7.2% (7,741) | 11.9% (505) |
| Bachelor's Degree and Higher | 17.1% (18,346) | 7.8% (330) |
Education Levels Comparison: Spokane valley vs Butler
- In Butler, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Spokane valley.
- In Butler, the rate of residents with high school diplomas is higher at 37.8% compared to 15.6% in Spokane valley.
- The percentage of residents with less than a high school education is higher in Butler at 11.9%, 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 7.8% in Butler.
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.