Demographics details for Ohiopyle, PA vs League city, TX
Population Overview
Compare main population characteristics in Ohiopyle, PA vs League city, TX.
| Data | Ohiopyle | League city |
|---|---|---|
| Population | 36 | 115,418 |
| Median Age | 53.2 years | 37.1 years |
| Median Income | $38,000 | $117,316 |
| Married Families | 81.0% | 48.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 3.2 | 3.8 |
Population Comparison: Ohiopyle vs League city
- The population in League city is higher at 115,418, compared to 36 in Ohiopyle.
- Residents in Ohiopyle have a higher median age of 53.2 years compared to 37.1 years in League city.
- League city has a higher median income of $117,316, compared to $38,000 in Ohiopyle.
- A higher percentage of married families is found in Ohiopyle at 81.0% compared to 48.0% in League city.
- The poverty level is higher in League city at 6%, compared to 0% in Ohiopyle.
- League city has a higher unemployment rate at 3.8% compared to 3.2% in Ohiopyle.
Demographics
Demographics Ohiopyle vs League city provide insight into the diversity of the communities to compare.
| Demographic | Ohiopyle | League city |
|---|---|---|
| Black | Data is updating | 8 |
| White | 100 | 57 |
| Asian | Data is updating | 6 |
| Hispanic | Data is updating | 19 |
| Two or More Races | Data is updating | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ohiopyle vs League city
- In League city, the percentage of Black residents is higher at 8% compared to 0% in Ohiopyle.
- Ohiopyle has a higher percentage of White residents at 100% compared to 57% in League city.
- In League city, the Asian population stands at 6%, greater than 0% in Ohiopyle.
- League city has a higher percentage of Hispanic residents at 19%, compared to 0% in Ohiopyle.
- The percentage of residents identifying as two or more races is higher in League city at 10%, compared to 0% in Ohiopyle.
- The percentage of American Indian residents is the same in both Ohiopyle and League city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ohiopyle | League city |
|---|---|---|
| Mental Health Not Good | 18.7% | 14.1% |
| Physical Health Not Good | 13.1% | 8.6% |
| Depression | 25.2% | 21.0% |
| Smoking | 23.2% | 11.2% |
| Binge Drinking | 18.8% | 19.5% |
| Obesity | 36.5% | 30.4% |
| Disability Percentage | 44.0% | 9.0% |
Health Statistics Comparison: Ohiopyle vs League city
- More residents in Ohiopyle report poor mental health at 18.7% compared to 14.1% in League city.
- Depression is more prevalent in Ohiopyle at 25.2% compared to 21.0% in League city.
- Smoking is more prevalent in Ohiopyle at 23.2% compared to 11.2% in League city.
- More residents engage in binge drinking in League city at 19.5% compared to 18.8% in Ohiopyle.
- Obesity rates are higher in Ohiopyle at 36.5% compared to 30.4% in League city.
- Disability percentages are higher in Ohiopyle at 44.0% compared to 9.0% in League city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ohiopyle | League city |
|---|---|---|
| No Schooling | 27.8% (10) | 0.5% (597) |
| High School Diploma | 30.6% (11) | 8.9% (10,242) |
| Less than High School | 55.6% (20) | 4.9% (5,692) |
| Bachelor's Degree and Higher | 25.0% (9) | 31.5% (36,360) |
Education Levels Comparison: Ohiopyle vs League city
- A higher percentage of residents in Ohiopyle have no formal schooling at 27.8% compared to 0.5% in League city.
- A higher percentage of residents in Ohiopyle hold a high school diploma at 30.6% compared to 8.9% in League city.
- More residents in Ohiopyle have less than a high school education at 55.6% compared to 4.9% in League city.
- In League city, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 25.0% in Ohiopyle.
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.