Demographics details for Rawson, OH vs Maple valley, WA
Population Overview
Compare main population characteristics in Rawson, OH vs Maple valley, WA.
| Data | Rawson | Maple valley |
|---|---|---|
| Population | 560 | 28,220 |
| Median Age | 35.9 years | 36.4 years |
| Median Income | $42,250 | $137,595 |
| Married Families | 43.0% | 47.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.5 | 4.7 |
Population Comparison: Rawson vs Maple valley
- The population in Maple valley is higher at 28,220, compared to 560 in Rawson.
- The median age in Maple valley is higher at 36.4 years, compared to 35.9 years in Rawson.
- Maple valley has a higher median income of $137,595, compared to $42,250 in Rawson.
- In Maple valley, the percentage of married families is higher at 47.0%, compared to 43.0% in Rawson.
- Rawson has a higher poverty level at 10% compared to 0% in Maple valley.
- Maple valley has a higher unemployment rate at 4.7% compared to 3.5% in Rawson.
Demographics
Demographics Rawson vs Maple valley provide insight into the diversity of the communities to compare.
| Demographic | Rawson | Maple valley |
|---|---|---|
| Black | 8 | 2 |
| White | 90 | 74 |
| Asian | Data is updating | 11 |
| Hispanic | 1 | 5 |
| Two or More Races | 1 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rawson vs Maple valley
- A higher percentage of Black residents are in Rawson at 8% compared to 2% in Maple valley.
- Rawson has a higher percentage of White residents at 90% compared to 74% in Maple valley.
- In Maple valley, the Asian population stands at 11%, greater than 0% in Rawson.
- Maple valley has a higher percentage of Hispanic residents at 5%, compared to 1% in Rawson.
- The percentage of residents identifying as two or more races is higher in Maple valley at 8%, compared to 1% in Rawson.
- The percentage of American Indian residents is the same in both Rawson and Maple valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rawson | Maple valley |
|---|---|---|
| Mental Health Not Good | 15.9% | 15.9% |
| Physical Health Not Good | 10.6% | 8.6% |
| Depression | 22.4% | 25.8% |
| Smoking | 19.2% | 9.4% |
| Binge Drinking | 18.5% | 19.6% |
| Obesity | 37.0% | 24.3% |
| Disability Percentage | 9.0% | 7.0% |
Health Statistics Comparison: Rawson vs Maple valley
- Poor mental health levels are equal in both Rawson and Maple valley at 15.9%.
- Higher depression rates are seen in Maple valley at 25.8% versus 22.4% in Rawson.
- Smoking is more prevalent in Rawson at 19.2% compared to 9.4% in Maple valley.
- More residents engage in binge drinking in Maple valley at 19.6% compared to 18.5% in Rawson.
- Obesity rates are higher in Rawson at 37.0% compared to 24.3% in Maple valley.
- Disability percentages are higher in Rawson at 9.0% compared to 7.0% in Maple valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rawson | Maple valley |
|---|---|---|
| No Schooling | 0.2% (1) | 0.4% (103) |
| High School Diploma | 34.8% (195) | 10.2% (2,878) |
| Less than High School | 15.7% (88) | 3.1% (879) |
| Bachelor's Degree and Higher | 3.2% (18) | 28.5% (8,032) |
Education Levels Comparison: Rawson vs Maple valley
- In Maple valley, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Rawson.
- A higher percentage of residents in Rawson hold a high school diploma at 34.8% compared to 10.2% in Maple valley.
- More residents in Rawson have less than a high school education at 15.7% compared to 3.1% in Maple valley.
- In Maple valley, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 3.2% in Rawson.
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.