Demographics details for Williamsport, PA vs Groom, TX
Population Overview
Compare main population characteristics in Williamsport, PA vs Groom, TX.
| Data | Williamsport | Groom |
|---|---|---|
| Population | 27,403 | 548 |
| Median Age | 30.3 years | 46.0 years |
| Median Income | $48,388 | $51,944 |
| Married Families | 24.0% | 39.0% |
| Poverty Level | 16% | 12% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Williamsport vs Groom
- In Williamsport, the population is higher at 27,403, compared to 548 in Groom.
- The median age in Groom is higher at 46.0 years, compared to 30.3 years in Williamsport.
- Groom has a higher median income of $51,944, compared to $48,388 in Williamsport.
- In Groom, the percentage of married families is higher at 39.0%, compared to 24.0% in Williamsport.
- Williamsport has a higher poverty level at 16% compared to 12% in Groom.
- The unemployment rate in Williamsport is higher at 4.1%, compared to 3.5% in Groom.
Demographics
Demographics Williamsport vs Groom provide insight into the diversity of the communities to compare.
| Demographic | Williamsport | Groom |
|---|---|---|
| Black | 14 | Data is updating |
| White | 75 | 96 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 3 |
| Two or More Races | 6 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Williamsport vs Groom
- A higher percentage of Black residents are in Williamsport at 14% compared to 0% in Groom.
- The percentage of White residents is higher in Groom at 96% compared to 75% in Williamsport.
- The Asian population is larger in Williamsport at 1% compared to 0% in Groom.
- The percentage of Hispanic residents is the same in both Williamsport and Groom at 3%.
- More residents identify as two or more races in Williamsport at 6% compared to 1% in Groom.
- A greater percentage of American Indian residents live in Williamsport at 1% compared to 0% in Groom.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Williamsport | Groom |
|---|---|---|
| Mental Health Not Good | 18.9% | 17.3% |
| Physical Health Not Good | 13.7% | 10.6% |
| Depression | 24.6% | 25.1% |
| Smoking | 22.7% | 16.4% |
| Binge Drinking | 16.2% | 20.3% |
| Obesity | 40.4% | 34.7% |
| Disability Percentage | 18.0% | 11.0% |
Health Statistics Comparison: Williamsport vs Groom
- More residents in Williamsport report poor mental health at 18.9% compared to 17.3% in Groom.
- Higher depression rates are seen in Groom at 25.1% versus 24.6% in Williamsport.
- Smoking is more prevalent in Williamsport at 22.7% compared to 16.4% in Groom.
- More residents engage in binge drinking in Groom at 20.3% compared to 16.2% in Williamsport.
- Obesity rates are higher in Williamsport at 40.4% compared to 34.7% in Groom.
- Disability percentages are higher in Williamsport at 18.0% compared to 11.0% in Groom.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Williamsport | Groom |
|---|---|---|
| No Schooling | 0.7% (186) | 0.7% (4) |
| High School Diploma | 16.4% (4,487) | 22.3% (122) |
| Less than High School | 12.8% (3,507) | 10.9% (60) |
| Bachelor's Degree and Higher | 16.1% (4,416) | 10.9% (60) |
Education Levels Comparison: Williamsport vs Groom
- The percentage of residents with no formal schooling is the same in both Williamsport and Groom at 0.7%.
- In Groom, the rate of residents with high school diplomas is higher at 22.3% compared to 16.4% in Williamsport.
- More residents in Williamsport have less than a high school education at 12.8% compared to 10.9% in Groom.
- A higher percentage of residents in Williamsport hold a bachelor's degree or higher at 16.1% compared to 10.9% in Groom.
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.