Demographics details for Eagle pass, TX vs Cincinnati, OH
Population Overview
Compare main population characteristics in Eagle pass, TX vs Cincinnati, OH.
| Data | Eagle pass | Cincinnati |
|---|---|---|
| Population | 28,255 | 309,513 |
| Median Age | 29.7 years | 32.9 years |
| Median Income | $52,254 | $49,191 |
| Married Families | 39.0% | 24.0% |
| Poverty Level | 25% | 17% |
| Unemployment Rate | 9.3 | 5.8 |
Population Comparison: Eagle pass vs Cincinnati
- The population in Cincinnati is higher at 309,513, compared to 28,255 in Eagle pass.
- The median age in Cincinnati is higher at 32.9 years, compared to 29.7 years in Eagle pass.
- Eagle pass has a higher median income of $52,254 compared to $49,191 in Cincinnati.
- A higher percentage of married families is found in Eagle pass at 39.0% compared to 24.0% in Cincinnati.
- Eagle pass has a higher poverty level at 25% compared to 17% in Cincinnati.
- The unemployment rate in Eagle pass is higher at 9.3%, compared to 5.8% in Cincinnati.
Demographics
Demographics Eagle pass vs Cincinnati provide insight into the diversity of the communities to compare.
| Demographic | Eagle pass | Cincinnati |
|---|---|---|
| Black | Data is updating | 40 |
| White | -31 | 46 |
| Asian | Data is updating | 3 |
| Hispanic | 96 | 5 |
| Two or More Races | 35 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Eagle pass vs Cincinnati
- In Cincinnati, the percentage of Black residents is higher at 40% compared to 0% in Eagle pass.
- The percentage of White residents is higher in Cincinnati at 46% compared to -31% in Eagle pass.
- In Cincinnati, the Asian population stands at 3%, greater than 0% in Eagle pass.
- The Hispanic community is larger in Eagle pass at 96% compared to 5% in Cincinnati.
- More residents identify as two or more races in Eagle pass at 35% compared to 6% in Cincinnati.
- The percentage of American Indian residents is the same in both Eagle pass and Cincinnati at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eagle pass | Cincinnati |
|---|---|---|
| Mental Health Not Good | 17.8% | 18.0% |
| Physical Health Not Good | 16.0% | 13.1% |
| Depression | 21.3% | 21.6% |
| Smoking | 17.3% | 21.3% |
| Binge Drinking | 15.4% | 18.2% |
| Obesity | 43.7% | 39.8% |
| Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Eagle pass vs Cincinnati
- In Cincinnati, a higher percentage report poor mental health at 18.0% compared to 17.8% in Eagle pass.
- Higher depression rates are seen in Cincinnati at 21.6% versus 21.3% in Eagle pass.
- Cincinnati has a higher smoking rate at 21.3% compared to 17.3% in Eagle pass.
- More residents engage in binge drinking in Cincinnati at 18.2% compared to 15.4% in Eagle pass.
- Obesity rates are higher in Eagle pass at 43.7% compared to 39.8% in Cincinnati.
- There is a higher percentage of disabled individuals in Cincinnati at 13.0% 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 | Cincinnati |
|---|---|---|
| No Schooling | 1.7% (470) | 0.9% (2,632) |
| High School Diploma | 11.8% (3,345) | 12.5% (38,643) |
| Less than High School | 30.2% (8,525) | 9.6% (29,753) |
| Bachelor's Degree and Higher | 14.5% (4,084) | 26.4% (81,592) |
Education Levels Comparison: Eagle pass vs Cincinnati
- A higher percentage of residents in Eagle pass have no formal schooling at 1.7% compared to 0.9% in Cincinnati.
- In Cincinnati, the rate of residents with high school diplomas is higher at 12.5% compared to 11.8% in Eagle pass.
- More residents in Eagle pass have less than a high school education at 30.2% compared to 9.6% in Cincinnati.
- In Cincinnati, a larger share of residents have a bachelor's degree or higher at 26.4% 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.