Demographics details for Eagle pass, TX vs Mc clure, OH
Population Overview
Compare main population characteristics in Eagle pass, TX vs Mc clure, OH.
Data | Eagle pass | Mc clure |
---|---|---|
Population | 28,255 | 693 |
Median Age | 29.7 years | 30.5 years |
Median Income | $52,254 | $55,938 |
Married Families | 39.0% | 37.0% |
Poverty Level | 25% | 12% |
Unemployment Rate | 9.3 | 4.0 |
Population Comparison: Eagle pass vs Mc clure
- In Eagle pass, the population is higher at 28,255, compared to 693 in Mc clure.
- The median age in Mc clure is higher at 30.5 years, compared to 29.7 years in Eagle pass.
- Mc clure has a higher median income of $55,938, compared to $52,254 in Eagle pass.
- A higher percentage of married families is found in Eagle pass at 39.0% compared to 37.0% in Mc clure.
- Eagle pass has a higher poverty level at 25% compared to 12% in Mc clure.
- The unemployment rate in Eagle pass is higher at 9.3%, compared to 4.0% in Mc clure.
Demographics
Demographics Eagle pass vs Mc clure provide insight into the diversity of the communities to compare.
Demographic | Eagle pass | Mc clure |
---|---|---|
Black | Data is updating | Data is updating |
White | -31 | 65 |
Asian | Data is updating | 4 |
Hispanic | 96 | 16 |
Two or More Races | 35 | 15 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Eagle pass vs Mc clure
- The percentage of Black residents is the same in both Eagle pass and Mc clure at 0%.
- The percentage of White residents is higher in Mc clure at 65% compared to -31% in Eagle pass.
- In Mc clure, the Asian population stands at 4%, greater than 0% in Eagle pass.
- The Hispanic community is larger in Eagle pass at 96% compared to 16% in Mc clure.
- More residents identify as two or more races in Eagle pass at 35% compared to 15% in Mc clure.
- The percentage of American Indian residents is the same in both Eagle pass and Mc clure at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Eagle pass | Mc clure |
---|---|---|
Mental Health Not Good | 17.8% | 16.4% |
Physical Health Not Good | 16.0% | 10.5% |
Depression | 21.3% | 22.4% |
Smoking | 17.3% | 18.2% |
Binge Drinking | 15.4% | 19.9% |
Obesity | 43.7% | 40.2% |
Disability Percentage | 12.0% | 22.0% |
Health Statistics Comparison: Eagle pass vs Mc clure
- More residents in Eagle pass report poor mental health at 17.8% compared to 16.4% in Mc clure.
- Higher depression rates are seen in Mc clure at 22.4% versus 21.3% in Eagle pass.
- Mc clure has a higher smoking rate at 18.2% compared to 17.3% in Eagle pass.
- More residents engage in binge drinking in Mc clure at 19.9% compared to 15.4% in Eagle pass.
- Obesity rates are higher in Eagle pass at 43.7% compared to 40.2% in Mc clure.
- There is a higher percentage of disabled individuals in Mc clure at 22.0% 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 | Mc clure |
---|---|---|
No Schooling | 1.7% (470) | 0.3% (2) |
High School Diploma | 11.8% (3,345) | 28.6% (198) |
Less than High School | 30.2% (8,525) | 17.7% (123) |
Bachelor's Degree and Higher | 14.5% (4,084) | 5.5% (38) |
Education Levels Comparison: Eagle pass vs Mc clure
- A higher percentage of residents in Eagle pass have no formal schooling at 1.7% compared to 0.3% in Mc clure.
- In Mc clure, the rate of residents with high school diplomas is higher at 28.6% compared to 11.8% in Eagle pass.
- More residents in Eagle pass have less than a high school education at 30.2% compared to 17.7% in Mc clure.
- A higher percentage of residents in Eagle pass hold a bachelor's degree or higher at 14.5% compared to 5.5% in Mc clure.
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.