Demographics details for Camas, WA vs West chester, OH
Population Overview
Compare main population characteristics in Camas, WA vs West chester, OH.
| Data | Camas | West chester |
|---|---|---|
| Population | 27,371 | 64,794 |
| Median Age | 40.3 years | 38.7 years |
| Median Income | $133,829 | $106,150 |
| Married Families | 49.0% | 46.0% |
| Poverty Level | 4% | 4% |
| Unemployment Rate | 4.7 | 3.2 |
Population Comparison: Camas vs West chester
- The population in West chester is higher at 64,794, compared to 27,371 in Camas.
- Residents in Camas have a higher median age of 40.3 years compared to 38.7 years in West chester.
- Camas has a higher median income of $133,829 compared to $106,150 in West chester.
- A higher percentage of married families is found in Camas at 49.0% compared to 46.0% in West chester.
- The poverty level is identical in both Camas and West chester at 4%.
- The unemployment rate in Camas is higher at 4.7%, compared to 3.2% in West chester.
Demographics
Demographics Camas vs West chester provide insight into the diversity of the communities to compare.
| Demographic | Camas | West chester |
|---|---|---|
| Black | 2 | 9 |
| White | 73 | 73 |
| Asian | 10 | 9 |
| Hispanic | 5 | 5 |
| Two or More Races | 9 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Camas vs West chester
- In West chester, the percentage of Black residents is higher at 9% compared to 2% in Camas.
- The percentage of White residents is the same in both Camas and West chester at 73%.
- The Asian population is larger in Camas at 10% compared to 9% in West chester.
- The percentage of Hispanic residents is the same in both Camas and West chester at 5%.
- More residents identify as two or more races in Camas at 9% compared to 4% in West chester.
- A greater percentage of American Indian residents live in Camas at 1% compared to 0% in West chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Camas | West chester |
|---|---|---|
| Mental Health Not Good | 14.7% | Data is updating% |
| Physical Health Not Good | 8.7% | Data is updating% |
| Depression | 23.8% | Data is updating% |
| Smoking | 9.9% | Data is updating% |
| Binge Drinking | 19.2% | Data is updating% |
| Obesity | 28.5% | Data is updating% |
| Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Camas vs West chester
- More residents in Camas report poor mental health at 14.7% compared to 0.0% in West chester.
- Depression is more prevalent in Camas at 23.8% compared to 0.0% in West chester.
- Smoking is more prevalent in Camas at 9.9% compared to 0.0% in West chester.
- Binge drinking is more common in Camas at 19.2% compared to 0.0% in West chester.
- Obesity rates are higher in Camas at 28.5% compared to 0.0% in West chester.
- Disability percentages are the same in both Camas and West chester at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Camas | West chester |
|---|---|---|
| No Schooling | 0.4% (110) | 1.1% (725) |
| High School Diploma | 9.9% (2,708) | 12.3% (7,946) |
| Less than High School | 3.7% (1,021) | 6.8% (4,436) |
| Bachelor's Degree and Higher | 33.5% (9,172) | 34.7% (22,503) |
Education Levels Comparison: Camas vs West chester
- In West chester, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Camas.
- In West chester, the rate of residents with high school diplomas is higher at 12.3% compared to 9.9% in Camas.
- The percentage of residents with less than a high school education is higher in West chester at 6.8%, compared to 3.7% in Camas.
- In West chester, a larger share of residents have a bachelor's degree or higher at 34.7% compared to 33.5% in Camas.
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.