Demographics details for Camas, WA vs Eagle pass, TX
Population Overview
Compare main population characteristics in Camas, WA vs Eagle pass, TX.
| Data | Camas | Eagle pass |
|---|---|---|
| Population | 27,371 | 28,255 |
| Median Age | 40.3 years | 29.7 years |
| Median Income | $133,829 | $52,254 |
| Married Families | 49.0% | 39.0% |
| Poverty Level | 4% | 25% |
| Unemployment Rate | 4.7 | 9.3 |
Population Comparison: Camas vs Eagle pass
- The population in Eagle pass is higher at 28,255, compared to 27,371 in Camas.
- Residents in Camas have a higher median age of 40.3 years compared to 29.7 years in Eagle pass.
- Camas has a higher median income of $133,829 compared to $52,254 in Eagle pass.
- A higher percentage of married families is found in Camas at 49.0% compared to 39.0% in Eagle pass.
- The poverty level is higher in Eagle pass at 25%, compared to 4% in Camas.
- Eagle pass has a higher unemployment rate at 9.3% compared to 4.7% in Camas.
Demographics
Demographics Camas vs Eagle pass provide insight into the diversity of the communities to compare.
| Demographic | Camas | Eagle pass |
|---|---|---|
| Black | 2 | Data is updating |
| White | 73 | -31 |
| Asian | 10 | Data is updating |
| Hispanic | 5 | 96 |
| Two or More Races | 9 | 35 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Camas vs Eagle pass
- A higher percentage of Black residents are in Camas at 2% compared to 0% in Eagle pass.
- Camas has a higher percentage of White residents at 73% compared to -31% in Eagle pass.
- The Asian population is larger in Camas at 10% compared to 0% in Eagle pass.
- Eagle pass has a higher percentage of Hispanic residents at 96%, compared to 5% in Camas.
- The percentage of residents identifying as two or more races is higher in Eagle pass at 35%, compared to 9% in Camas.
- A greater percentage of American Indian residents live in Camas at 1% compared to 0% in Eagle pass.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Camas | Eagle pass |
|---|---|---|
| Mental Health Not Good | 14.7% | 17.8% |
| Physical Health Not Good | 8.7% | 16.0% |
| Depression | 23.8% | 21.3% |
| Smoking | 9.9% | 17.3% |
| Binge Drinking | 19.2% | 15.4% |
| Obesity | 28.5% | 43.7% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Camas vs Eagle pass
- In Eagle pass, a higher percentage report poor mental health at 17.8% compared to 14.7% in Camas.
- Depression is more prevalent in Camas at 23.8% compared to 21.3% in Eagle pass.
- Eagle pass has a higher smoking rate at 17.3% compared to 9.9% in Camas.
- Binge drinking is more common in Camas at 19.2% compared to 15.4% in Eagle pass.
- Eagle pass has higher obesity rates at 43.7% compared to 28.5% in Camas.
- There is a higher percentage of disabled individuals in Eagle pass at 12.0% compared to 8.0% in Camas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Camas | Eagle pass |
|---|---|---|
| No Schooling | 0.4% (110) | 1.7% (470) |
| High School Diploma | 9.9% (2,708) | 11.8% (3,345) |
| Less than High School | 3.7% (1,021) | 30.2% (8,525) |
| Bachelor's Degree and Higher | 33.5% (9,172) | 14.5% (4,084) |
Education Levels Comparison: Camas vs Eagle pass
- In Eagle pass, a larger percentage of residents lack formal schooling at 1.7% compared to 0.4% in Camas.
- In Eagle pass, the rate of residents with high school diplomas is higher at 11.8% compared to 9.9% in Camas.
- The percentage of residents with less than a high school education is higher in Eagle pass at 30.2%, compared to 3.7% in Camas.
- A higher percentage of residents in Camas hold a bachelor's degree or higher at 33.5% compared to 14.5% in Eagle pass.
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.