Demographics details for Eagle pass, TX vs Laurel, MD
Population Overview
Compare main population characteristics in Eagle pass, TX vs Laurel, MD.
| Data | Eagle pass | Laurel |
|---|---|---|
| Population | 28,255 | 29,352 |
| Median Age | 29.7 years | 36.4 years |
| Median Income | $52,254 | $92,035 |
| Married Families | 39.0% | 33.0% |
| Poverty Level | 25% | 9% |
| Unemployment Rate | 9.3 | 3.4 |
Population Comparison: Eagle pass vs Laurel
- The population in Laurel is higher at 29,352, compared to 28,255 in Eagle pass.
- The median age in Laurel is higher at 36.4 years, compared to 29.7 years in Eagle pass.
- Laurel has a higher median income of $92,035, compared to $52,254 in Eagle pass.
- A higher percentage of married families is found in Eagle pass at 39.0% compared to 33.0% in Laurel.
- Eagle pass has a higher poverty level at 25% compared to 9% in Laurel.
- The unemployment rate in Eagle pass is higher at 9.3%, compared to 3.4% in Laurel.
Demographics
Demographics Eagle pass vs Laurel provide insight into the diversity of the communities to compare.
| Demographic | Eagle pass | Laurel |
|---|---|---|
| Black | Data is updating | 52 |
| White | -31 | 11 |
| Asian | Data is updating | 10 |
| Hispanic | 96 | 18 |
| Two or More Races | 35 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Eagle pass vs Laurel
- In Laurel, the percentage of Black residents is higher at 52% compared to 0% in Eagle pass.
- The percentage of White residents is higher in Laurel at 11% compared to -31% in Eagle pass.
- In Laurel, the Asian population stands at 10%, greater than 0% in Eagle pass.
- The Hispanic community is larger in Eagle pass at 96% compared to 18% in Laurel.
- More residents identify as two or more races in Eagle pass at 35% compared to 8% in Laurel.
- In Laurel, the percentage of American Indian residents is higher at 1%, compared to 0% in Eagle pass.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eagle pass | Laurel |
|---|---|---|
| Mental Health Not Good | 17.8% | 13.1% |
| Physical Health Not Good | 16.0% | 8.6% |
| Depression | 21.3% | 13.1% |
| Smoking | 17.3% | 10.4% |
| Binge Drinking | 15.4% | 12.4% |
| Obesity | 43.7% | 36.6% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Eagle pass vs Laurel
- More residents in Eagle pass report poor mental health at 17.8% compared to 13.1% in Laurel.
- Depression is more prevalent in Eagle pass at 21.3% compared to 13.1% in Laurel.
- Smoking is more prevalent in Eagle pass at 17.3% compared to 10.4% in Laurel.
- Binge drinking is more common in Eagle pass at 15.4% compared to 12.4% in Laurel.
- Obesity rates are higher in Eagle pass at 43.7% compared to 36.6% in Laurel.
- Disability percentages are higher in Eagle pass at 12.0% compared to 7.0% in Laurel.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eagle pass | Laurel |
|---|---|---|
| No Schooling | 1.7% (470) | 1.8% (521) |
| High School Diploma | 11.8% (3,345) | 10.0% (2,934) |
| Less than High School | 30.2% (8,525) | 12.3% (3,616) |
| Bachelor's Degree and Higher | 14.5% (4,084) | 30.9% (9,081) |
Education Levels Comparison: Eagle pass vs Laurel
- In Laurel, a larger percentage of residents lack formal schooling at 1.8% compared to 1.7% in Eagle pass.
- A higher percentage of residents in Eagle pass hold a high school diploma at 11.8% compared to 10.0% in Laurel.
- More residents in Eagle pass have less than a high school education at 30.2% compared to 12.3% in Laurel.
- In Laurel, a larger share of residents have a bachelor's degree or higher at 30.9% 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.