Demographics details for Pasadena, CA vs Eagle pass, TX
Population Overview
Compare main population characteristics in Pasadena, CA vs Eagle pass, TX.
| Data | Pasadena | Eagle pass |
|---|---|---|
| Population | 134,211 | 28,255 |
| Median Age | 39.9 years | 29.7 years |
| Median Income | $97,818 | $52,254 |
| Married Families | 37.0% | 39.0% |
| Poverty Level | 14% | 25% |
| Unemployment Rate | 5.3 | 9.3 |
Population Comparison: Pasadena vs Eagle pass
- In Pasadena, the population is higher at 134,211, compared to 28,255 in Eagle pass.
- Residents in Pasadena have a higher median age of 39.9 years compared to 29.7 years in Eagle pass.
- Pasadena has a higher median income of $97,818 compared to $52,254 in Eagle pass.
- In Eagle pass, the percentage of married families is higher at 39.0%, compared to 37.0% in Pasadena.
- The poverty level is higher in Eagle pass at 25%, compared to 14% in Pasadena.
- Eagle pass has a higher unemployment rate at 9.3% compared to 5.3% in Pasadena.
Demographics
Demographics Pasadena vs Eagle pass provide insight into the diversity of the communities to compare.
| Demographic | Pasadena | Eagle pass |
|---|---|---|
| Black | 8 | Data is updating |
| White | 24 | -31 |
| Asian | 18 | Data is updating |
| Hispanic | 36 | 96 |
| Two or More Races | 13 | 35 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pasadena vs Eagle pass
- A higher percentage of Black residents are in Pasadena at 8% compared to 0% in Eagle pass.
- Pasadena has a higher percentage of White residents at 24% compared to -31% in Eagle pass.
- The Asian population is larger in Pasadena at 18% compared to 0% in Eagle pass.
- Eagle pass has a higher percentage of Hispanic residents at 96%, compared to 36% in Pasadena.
- The percentage of residents identifying as two or more races is higher in Eagle pass at 35%, compared to 13% in Pasadena.
- A greater percentage of American Indian residents live in Pasadena at 1% compared to 0% in Eagle pass.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasadena | Eagle pass |
|---|---|---|
| Mental Health Not Good | 14.2% | 17.8% |
| Physical Health Not Good | 9.7% | 16.0% |
| Depression | 15.4% | 21.3% |
| Smoking | 9.3% | 17.3% |
| Binge Drinking | 15.4% | 15.4% |
| Obesity | 26.6% | 43.7% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Pasadena vs Eagle pass
- In Eagle pass, a higher percentage report poor mental health at 17.8% compared to 14.2% in Pasadena.
- Higher depression rates are seen in Eagle pass at 21.3% versus 15.4% in Pasadena.
- Eagle pass has a higher smoking rate at 17.3% compared to 9.3% in Pasadena.
- Binge drinking rates are similar in both Pasadena and Eagle pass at 15.4%.
- Eagle pass has higher obesity rates at 43.7% compared to 26.6% in Pasadena.
- There is a higher percentage of disabled individuals in Eagle pass at 12.0% compared to 9.0% in Pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pasadena | Eagle pass |
|---|---|---|
| No Schooling | 1.8% (2,430) | 1.7% (470) |
| High School Diploma | 9.9% (13,275) | 11.8% (3,345) |
| Less than High School | 15.0% (20,140) | 30.2% (8,525) |
| Bachelor's Degree and Higher | 42.2% (56,583) | 14.5% (4,084) |
Education Levels Comparison: Pasadena vs Eagle pass
- A higher percentage of residents in Pasadena have no formal schooling at 1.8% compared to 1.7% in Eagle pass.
- In Eagle pass, the rate of residents with high school diplomas is higher at 11.8% compared to 9.9% in Pasadena.
- The percentage of residents with less than a high school education is higher in Eagle pass at 30.2%, compared to 15.0% in Pasadena.
- A higher percentage of residents in Pasadena hold a bachelor's degree or higher at 42.2% 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.