Demographics details for Eagle pass, TX vs East orange, NJ
Population Overview
Compare main population characteristics in Eagle pass, TX vs East orange, NJ.
| Data | Eagle pass | East orange |
|---|---|---|
| Population | 28,255 | 68,446 |
| Median Age | 29.7 years | 35.1 years |
| Median Income | $52,254 | $58,659 |
| Married Families | 39.0% | 23.0% |
| Poverty Level | 25% | 18% |
| Unemployment Rate | 9.3 | 8.2 |
Population Comparison: Eagle pass vs East orange
- The population in East orange is higher at 68,446, compared to 28,255 in Eagle pass.
- The median age in East orange is higher at 35.1 years, compared to 29.7 years in Eagle pass.
- East orange has a higher median income of $58,659, compared to $52,254 in Eagle pass.
- A higher percentage of married families is found in Eagle pass at 39.0% compared to 23.0% in East orange.
- Eagle pass has a higher poverty level at 25% compared to 18% in East orange.
- The unemployment rate in Eagle pass is higher at 9.3%, compared to 8.2% in East orange.
Demographics
Demographics Eagle pass vs East orange provide insight into the diversity of the communities to compare.
| Demographic | Eagle pass | East orange |
|---|---|---|
| Black | Data is updating | 81 |
| White | -31 | -1 |
| Asian | Data is updating | 2 |
| Hispanic | 96 | 12 |
| Two or More Races | 35 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Eagle pass vs East orange
- In East orange, the percentage of Black residents is higher at 81% compared to 0% in Eagle pass.
- The percentage of White residents is higher in East orange at -1% compared to -31% in Eagle pass.
- In East orange, the Asian population stands at 2%, greater than 0% in Eagle pass.
- The Hispanic community is larger in Eagle pass at 96% compared to 12% in East orange.
- More residents identify as two or more races in Eagle pass at 35% compared to 6% in East orange.
- The percentage of American Indian residents is the same in both Eagle pass and East orange at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eagle pass | East orange |
|---|---|---|
| Mental Health Not Good | 17.8% | 16.3% |
| Physical Health Not Good | 16.0% | 12.6% |
| Depression | 21.3% | 16.5% |
| Smoking | 17.3% | 17.3% |
| Binge Drinking | 15.4% | 13.3% |
| Obesity | 43.7% | 39.1% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Eagle pass vs East orange
- More residents in Eagle pass report poor mental health at 17.8% compared to 16.3% in East orange.
- Depression is more prevalent in Eagle pass at 21.3% compared to 16.5% in East orange.
- Smoking rates are the same in both Eagle pass and East orange at 17.3%.
- Binge drinking is more common in Eagle pass at 15.4% compared to 13.3% in East orange.
- Obesity rates are higher in Eagle pass at 43.7% compared to 39.1% in East orange.
- Disability percentages are the same in both Eagle pass and East orange at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eagle pass | East orange |
|---|---|---|
| No Schooling | 1.7% (470) | 1.6% (1,070) |
| High School Diploma | 11.8% (3,345) | 21.0% (14,369) |
| Less than High School | 30.2% (8,525) | 11.7% (8,024) |
| Bachelor's Degree and Higher | 14.5% (4,084) | 14.8% (10,108) |
Education Levels Comparison: Eagle pass vs East orange
- A higher percentage of residents in Eagle pass have no formal schooling at 1.7% compared to 1.6% in East orange.
- In East orange, the rate of residents with high school diplomas is higher at 21.0% compared to 11.8% in Eagle pass.
- More residents in Eagle pass have less than a high school education at 30.2% compared to 11.7% in East orange.
- In East orange, a larger share of residents have a bachelor's degree or higher at 14.8% 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.