Demographics details for Spring valley, NY vs Camas, WA
Population Overview
Compare main population characteristics in Spring valley, NY vs Camas, WA.
| Data | Spring valley | Camas |
|---|---|---|
| Population | 32,884 | 27,371 |
| Median Age | 27.5 years | 40.3 years |
| Median Income | $50,749 | $133,829 |
| Married Families | 32.0% | 49.0% |
| Poverty Level | 10% | 4% |
| Unemployment Rate | 3.2 | 4.7 |
Population Comparison: Spring valley vs Camas
- In Spring valley, the population is higher at 32,884, compared to 27,371 in Camas.
- The median age in Camas is higher at 40.3 years, compared to 27.5 years in Spring valley.
- Camas has a higher median income of $133,829, compared to $50,749 in Spring valley.
- In Camas, the percentage of married families is higher at 49.0%, compared to 32.0% in Spring valley.
- Spring valley has a higher poverty level at 10% compared to 4% in Camas.
- Camas has a higher unemployment rate at 4.7% compared to 3.2% in Spring valley.
Demographics
Demographics Spring valley vs Camas provide insight into the diversity of the communities to compare.
| Demographic | Spring valley | Camas |
|---|---|---|
| Black | 32 | 2 |
| White | 31 | 73 |
| Asian | 3 | 10 |
| Hispanic | 29 | 5 |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Spring valley vs Camas
- A higher percentage of Black residents are in Spring valley at 32% compared to 2% in Camas.
- The percentage of White residents is higher in Camas at 73% compared to 31% in Spring valley.
- In Camas, the Asian population stands at 10%, greater than 3% in Spring valley.
- The Hispanic community is larger in Spring valley at 29% compared to 5% in Camas.
- The percentage of residents identifying as two or more races is higher in Camas at 9%, compared to 5% in Spring valley.
- In Camas, the percentage of American Indian residents is higher at 1%, compared to 0% in Spring valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spring valley | Camas |
|---|---|---|
| Mental Health Not Good | 16.7% | 14.7% |
| Physical Health Not Good | 13.9% | 8.7% |
| Depression | 18.7% | 23.8% |
| Smoking | 22.3% | 9.9% |
| Binge Drinking | 12.6% | 19.2% |
| Obesity | 34.3% | 28.5% |
| Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Spring valley vs Camas
- More residents in Spring valley report poor mental health at 16.7% compared to 14.7% in Camas.
- Higher depression rates are seen in Camas at 23.8% versus 18.7% in Spring valley.
- Smoking is more prevalent in Spring valley at 22.3% compared to 9.9% in Camas.
- More residents engage in binge drinking in Camas at 19.2% compared to 12.6% in Spring valley.
- Obesity rates are higher in Spring valley at 34.3% compared to 28.5% in Camas.
- Disability percentages are the same in both Spring valley and Camas at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spring valley | Camas |
|---|---|---|
| No Schooling | 3.7% (1,224) | 0.4% (110) |
| High School Diploma | 13.1% (4,315) | 9.9% (2,708) |
| Less than High School | 20.5% (6,742) | 3.7% (1,021) |
| Bachelor's Degree and Higher | 10.0% (3,273) | 33.5% (9,172) |
Education Levels Comparison: Spring valley vs Camas
- A higher percentage of residents in Spring valley have no formal schooling at 3.7% compared to 0.4% in Camas.
- A higher percentage of residents in Spring valley hold a high school diploma at 13.1% compared to 9.9% in Camas.
- More residents in Spring valley have less than a high school education at 20.5% compared to 3.7% in Camas.
- In Camas, a larger share of residents have a bachelor's degree or higher at 33.5% compared to 10.0% in Spring 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.