Demographics details for Bethlehem, PA vs Goliad, TX
Population Overview
Compare main population characteristics in Bethlehem, PA vs Goliad, TX.
| Data | Bethlehem | Goliad |
|---|---|---|
| Population | 77,617 | 7,131 |
| Median Age | 35.9 years | 44.7 years |
| Median Income | $62,072 | $58,125 |
| Married Families | 29.0% | 42.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Bethlehem vs Goliad
- In Bethlehem, the population is higher at 77,617, compared to 7,131 in Goliad.
- The median age in Goliad is higher at 44.7 years, compared to 35.9 years in Bethlehem.
- Bethlehem has a higher median income of $62,072 compared to $58,125 in Goliad.
- In Goliad, the percentage of married families is higher at 42.0%, compared to 29.0% in Bethlehem.
- Bethlehem has a higher poverty level at 13% compared to 12% in Goliad.
- Goliad has a higher unemployment rate at 4.5% compared to 3.5% in Bethlehem.
Demographics
Demographics Bethlehem vs Goliad provide insight into the diversity of the communities to compare.
| Demographic | Bethlehem | Goliad |
|---|---|---|
| Black | 9 | 5 |
| White | 47 | 46 |
| Asian | 3 | Data is updating |
| Hispanic | 30 | 36 |
| Two or More Races | 11 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bethlehem vs Goliad
- A higher percentage of Black residents are in Bethlehem at 9% compared to 5% in Goliad.
- Bethlehem has a higher percentage of White residents at 47% compared to 46% in Goliad.
- The Asian population is larger in Bethlehem at 3% compared to 0% in Goliad.
- Goliad has a higher percentage of Hispanic residents at 36%, compared to 30% in Bethlehem.
- The percentage of residents identifying as two or more races is higher in Goliad at 13%, compared to 11% in Bethlehem.
- The percentage of American Indian residents is the same in both Bethlehem and Goliad at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bethlehem | Goliad |
|---|---|---|
| Mental Health Not Good | 16.9% | 17.1% |
| Physical Health Not Good | 12.1% | 12.0% |
| Depression | 21.8% | 22.9% |
| Smoking | 18.4% | 16.4% |
| Binge Drinking | 17.6% | 18.5% |
| Obesity | 34.7% | 37.9% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Bethlehem vs Goliad
- In Goliad, a higher percentage report poor mental health at 17.1% compared to 16.9% in Bethlehem.
- Higher depression rates are seen in Goliad at 22.9% versus 21.8% in Bethlehem.
- Smoking is more prevalent in Bethlehem at 18.4% compared to 16.4% in Goliad.
- More residents engage in binge drinking in Goliad at 18.5% compared to 17.6% in Bethlehem.
- Goliad has higher obesity rates at 37.9% compared to 34.7% in Bethlehem.
- There is a higher percentage of disabled individuals in Goliad at 17.0% compared to 13.0% in Bethlehem.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bethlehem | Goliad |
|---|---|---|
| No Schooling | 0.6% (452) | 0.6% (44) |
| High School Diploma | 16.9% (13,125) | 18.7% (1,337) |
| Less than High School | 12.9% (10,045) | 21.3% (1,516) |
| Bachelor's Degree and Higher | 22.0% (17,044) | 12.6% (900) |
Education Levels Comparison: Bethlehem vs Goliad
- The percentage of residents with no formal schooling is the same in both Bethlehem and Goliad at 0.6%.
- In Goliad, the rate of residents with high school diplomas is higher at 18.7% compared to 16.9% in Bethlehem.
- The percentage of residents with less than a high school education is higher in Goliad at 21.3%, compared to 12.9% in Bethlehem.
- A higher percentage of residents in Bethlehem hold a bachelor's degree or higher at 22.0% compared to 12.6% in Goliad.
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.