Demographics details for Camas, WA vs Silver springs, FL
Population Overview
Compare main population characteristics in Camas, WA vs Silver springs, FL.
Data | Camas | Silver springs |
---|---|---|
Population | 27,371 | 16,606 |
Median Age | 40.3 years | 45.0 years |
Median Income | $133,829 | $52,000 |
Married Families | 49.0% | 40.0% |
Poverty Level | 4% | 15% |
Unemployment Rate | 4.7 | 4.0 |
Population Comparison: Camas vs Silver springs
- In Camas, the population is higher at 27,371, compared to 16,606 in Silver springs.
- The median age in Silver springs is higher at 45.0 years, compared to 40.3 years in Camas.
- Camas has a higher median income of $133,829 compared to $52,000 in Silver springs.
- A higher percentage of married families is found in Camas at 49.0% compared to 40.0% in Silver springs.
- The poverty level is higher in Silver springs at 15%, compared to 4% in Camas.
- The unemployment rate in Camas is higher at 4.7%, compared to 4.0% in Silver springs.
Demographics
Demographics Camas vs Silver springs provide insight into the diversity of the communities to compare.
Demographic | Camas | Silver springs |
---|---|---|
Black | 2 | 15 |
White | 73 | 75 |
Asian | 10 | 5 |
Hispanic | 5 | 5 |
Two or More Races | 9 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Camas vs Silver springs
- In Silver springs, the percentage of Black residents is higher at 15% compared to 2% in Camas.
- The percentage of White residents is higher in Silver springs at 75% compared to 73% in Camas.
- The Asian population is larger in Camas at 10% compared to 5% in Silver springs.
- The percentage of Hispanic residents is the same in both Camas and Silver springs at 5%.
- More residents identify as two or more races in Camas at 9% compared to 0% in Silver springs.
- A greater percentage of American Indian residents live in Camas at 1% compared to 0% in Silver springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Camas | Silver springs |
---|---|---|
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% | Data is updating% |
Health Statistics Comparison: Camas vs Silver springs
- More residents in Camas report poor mental health at 14.7% compared to 0.0% in Silver springs.
- Depression is more prevalent in Camas at 23.8% compared to 0.0% in Silver springs.
- Smoking is more prevalent in Camas at 9.9% compared to 0.0% in Silver springs.
- Binge drinking is more common in Camas at 19.2% compared to 0.0% in Silver springs.
- Obesity rates are higher in Camas at 28.5% compared to 0.0% in Silver springs.
- Disability percentages are higher in Camas at 8.0% compared to 0.0% in Silver springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Camas | Silver springs |
---|---|---|
No Schooling | 0.4% (110) | 0.0% (Data is updating) |
High School Diploma | 9.9% (2,708) | 0.0% (Data is updating) |
Less than High School | 3.7% (1,021) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 33.5% (9,172) | 0.0% (Data is updating) |
Education Levels Comparison: Camas vs Silver springs
- A higher percentage of residents in Camas have no formal schooling at 0.4% compared to 0.0% in Silver springs.
- A higher percentage of residents in Camas hold a high school diploma at 9.9% compared to 0.0% in Silver springs.
- More residents in Camas have less than a high school education at 3.7% compared to 0.0% in Silver springs.
- A higher percentage of residents in Camas hold a bachelor's degree or higher at 33.5% compared to 0.0% in Silver springs.
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.