Demographics details for Eagle pass, TX vs Elm city, NC
Population Overview
Compare main population characteristics in Eagle pass, TX vs Elm city, NC.
| Data | Eagle pass | Elm city |
|---|---|---|
| Population | 28,255 | 1,204 |
| Median Age | 29.7 years | 48.0 years |
| Median Income | $52,254 | $48,125 |
| Married Families | 39.0% | 43.0% |
| Poverty Level | 25% | 15% |
| Unemployment Rate | 9.3 | 5.1 |
Population Comparison: Eagle pass vs Elm city
- In Eagle pass, the population is higher at 28,255, compared to 1,204 in Elm city.
- The median age in Elm city is higher at 48.0 years, compared to 29.7 years in Eagle pass.
- Eagle pass has a higher median income of $52,254 compared to $48,125 in Elm city.
- In Elm city, the percentage of married families is higher at 43.0%, compared to 39.0% in Eagle pass.
- Eagle pass has a higher poverty level at 25% compared to 15% in Elm city.
- The unemployment rate in Eagle pass is higher at 9.3%, compared to 5.1% in Elm city.
Demographics
Demographics Eagle pass vs Elm city provide insight into the diversity of the communities to compare.
| Demographic | Eagle pass | Elm city |
|---|---|---|
| Black | Data is updating | 60 |
| White | -31 | 25 |
| Asian | Data is updating | 3 |
| Hispanic | 96 | 11 |
| Two or More Races | 35 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Eagle pass vs Elm city
- In Elm city, the percentage of Black residents is higher at 60% compared to 0% in Eagle pass.
- The percentage of White residents is higher in Elm city at 25% compared to -31% in Eagle pass.
- In Elm city, the Asian population stands at 3%, greater than 0% in Eagle pass.
- The Hispanic community is larger in Eagle pass at 96% compared to 11% in Elm city.
- More residents identify as two or more races in Eagle pass at 35% compared to 1% in Elm city.
- The percentage of American Indian residents is the same in both Eagle pass and Elm city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eagle pass | Elm city |
|---|---|---|
| Mental Health Not Good | 17.8% | 16.8% |
| Physical Health Not Good | 16.0% | 12.0% |
| Depression | 21.3% | 21.2% |
| Smoking | 17.3% | 18.8% |
| Binge Drinking | 15.4% | 15.7% |
| Obesity | 43.7% | 37.9% |
| Disability Percentage | 12.0% | 19.0% |
Health Statistics Comparison: Eagle pass vs Elm city
- More residents in Eagle pass report poor mental health at 17.8% compared to 16.8% in Elm city.
- Depression is more prevalent in Eagle pass at 21.3% compared to 21.2% in Elm city.
- Elm city has a higher smoking rate at 18.8% compared to 17.3% in Eagle pass.
- More residents engage in binge drinking in Elm city at 15.7% compared to 15.4% in Eagle pass.
- Obesity rates are higher in Eagle pass at 43.7% compared to 37.9% in Elm city.
- There is a higher percentage of disabled individuals in Elm city at 19.0% compared to 12.0% in Eagle pass.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eagle pass | Elm city |
|---|---|---|
| No Schooling | 1.7% (470) | 0.7% (8) |
| High School Diploma | 11.8% (3,345) | 24.1% (290) |
| Less than High School | 30.2% (8,525) | 15.1% (182) |
| Bachelor's Degree and Higher | 14.5% (4,084) | 11.5% (139) |
Education Levels Comparison: Eagle pass vs Elm city
- A higher percentage of residents in Eagle pass have no formal schooling at 1.7% compared to 0.7% in Elm city.
- In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 11.8% in Eagle pass.
- More residents in Eagle pass have less than a high school education at 30.2% compared to 15.1% in Elm city.
- A higher percentage of residents in Eagle pass hold a bachelor's degree or higher at 14.5% compared to 11.5% in Elm city.
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.