Demographics details for Maple valley, WA vs Butler, WI
Population Overview
Compare main population characteristics in Maple valley, WA vs Butler, WI.
| Data | Maple valley | Butler |
|---|---|---|
| Population | 28,220 | 1,811 |
| Median Age | 36.4 years | 38.0 years |
| Median Income | $137,595 | $65,000 |
| Married Families | 47.0% | 52.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 4.7 | 3.5 |
Population Comparison: Maple valley vs Butler
- In Maple valley, the population is higher at 28,220, compared to 1,811 in Butler.
- The median age in Butler is higher at 38.0 years, compared to 36.4 years in Maple valley.
- Maple valley has a higher median income of $137,595 compared to $65,000 in Butler.
- In Butler, the percentage of married families is higher at 52.0%, compared to 47.0% in Maple valley.
- The poverty level is higher in Butler at 5%, compared to 0% in Maple valley.
- The unemployment rate in Maple valley is higher at 4.7%, compared to 3.5% in Butler.
Demographics
Demographics Maple valley vs Butler provide insight into the diversity of the communities to compare.
| Demographic | Maple valley | Butler |
|---|---|---|
| Black | 2 | 2 |
| White | 74 | 88 |
| Asian | 11 | 5 |
| Hispanic | 5 | 3 |
| Two or More Races | 8 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Maple valley vs Butler
- The percentage of Black residents is the same in both Maple valley and Butler at 2%.
- The percentage of White residents is higher in Butler at 88% compared to 74% in Maple valley.
- The Asian population is larger in Maple valley at 11% compared to 5% in Butler.
- The Hispanic community is larger in Maple valley at 5% compared to 3% in Butler.
- More residents identify as two or more races in Maple valley at 8% compared to 2% in Butler.
- The percentage of American Indian residents is the same in both Maple valley and Butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maple valley | Butler |
|---|---|---|
| Mental Health Not Good | 15.9% | Data is updating% |
| Physical Health Not Good | 8.6% | Data is updating% |
| Depression | 25.8% | Data is updating% |
| Smoking | 9.4% | Data is updating% |
| Binge Drinking | 19.6% | Data is updating% |
| Obesity | 24.3% | Data is updating% |
| Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Maple valley vs Butler
- More residents in Maple valley report poor mental health at 15.9% compared to 0.0% in Butler.
- Depression is more prevalent in Maple valley at 25.8% compared to 0.0% in Butler.
- Smoking is more prevalent in Maple valley at 9.4% compared to 0.0% in Butler.
- Binge drinking is more common in Maple valley at 19.6% compared to 0.0% in Butler.
- Obesity rates are higher in Maple valley at 24.3% compared to 0.0% in Butler.
- Disability percentages are higher in Maple valley at 7.0% compared to 0.0% in Butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Maple valley | Butler |
|---|---|---|
| No Schooling | 0.4% (103) | 0.0% (Data is updating) |
| High School Diploma | 10.2% (2,878) | 0.0% (Data is updating) |
| Less than High School | 3.1% (879) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 28.5% (8,032) | 0.0% (Data is updating) |
Education Levels Comparison: Maple valley vs Butler
- A higher percentage of residents in Maple valley have no formal schooling at 0.4% compared to 0.0% in Butler.
- A higher percentage of residents in Maple valley hold a high school diploma at 10.2% compared to 0.0% in Butler.
- More residents in Maple valley have less than a high school education at 3.1% compared to 0.0% in Butler.
- A higher percentage of residents in Maple valley hold a bachelor's degree or higher at 28.5% compared to 0.0% 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.