Demographics details for Gallitzin, PA vs Southaven, MS
Population Overview
Compare main population characteristics in Gallitzin, PA vs Southaven, MS.
| Data | Gallitzin | Southaven |
|---|---|---|
| Population | 1,508 | 56,360 |
| Median Age | 39.4 years | 35.4 years |
| Median Income | $52,500 | $72,513 |
| Married Families | 32.0% | 37.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 5.2 | 3.2 |
Population Comparison: Gallitzin vs Southaven
- The population in Southaven is higher at 56,360, compared to 1,508 in Gallitzin.
- Residents in Gallitzin have a higher median age of 39.4 years compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513, compared to $52,500 in Gallitzin.
- In Southaven, the percentage of married families is higher at 37.0%, compared to 32.0% in Gallitzin.
- The poverty level is identical in both Gallitzin and Southaven at 12%.
- The unemployment rate in Gallitzin is higher at 5.2%, compared to 3.2% in Southaven.
Demographics
Demographics Gallitzin vs Southaven provide insight into the diversity of the communities to compare.
| Demographic | Gallitzin | Southaven |
|---|---|---|
| Black | Data is updating | 35 |
| White | 93 | 55 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 5 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gallitzin vs Southaven
- In Southaven, the percentage of Black residents is higher at 35% compared to 0% in Gallitzin.
- Gallitzin has a higher percentage of White residents at 93% compared to 55% in Southaven.
- In Southaven, the Asian population stands at 1%, greater than 0% in Gallitzin.
- Southaven has a higher percentage of Hispanic residents at 5%, compared to 3% in Gallitzin.
- Both Gallitzin and Southaven have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Gallitzin and Southaven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gallitzin | Southaven |
|---|---|---|
| Mental Health Not Good | 18.3% | 15.6% |
| Physical Health Not Good | 12.1% | 10.9% |
| Depression | 25.2% | 22.9% |
| Smoking | 20.9% | 16.7% |
| Binge Drinking | 18.5% | 14.1% |
| Obesity | 38.6% | 39.7% |
| Disability Percentage | 22.0% | 10.0% |
Health Statistics Comparison: Gallitzin vs Southaven
- More residents in Gallitzin report poor mental health at 18.3% compared to 15.6% in Southaven.
- Depression is more prevalent in Gallitzin at 25.2% compared to 22.9% in Southaven.
- Smoking is more prevalent in Gallitzin at 20.9% compared to 16.7% in Southaven.
- Binge drinking is more common in Gallitzin at 18.5% compared to 14.1% in Southaven.
- Southaven has higher obesity rates at 39.7% compared to 38.6% in Gallitzin.
- Disability percentages are higher in Gallitzin at 22.0% compared to 10.0% in Southaven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gallitzin | Southaven |
|---|---|---|
| No Schooling | 1.1% (16) | 1.2% (658) |
| High School Diploma | 29.8% (449) | 15.8% (8,925) |
| Less than High School | 20.6% (310) | 8.7% (4,879) |
| Bachelor's Degree and Higher | 9.9% (150) | 16.0% (9,035) |
Education Levels Comparison: Gallitzin vs Southaven
- In Southaven, a larger percentage of residents lack formal schooling at 1.2% compared to 1.1% in Gallitzin.
- A higher percentage of residents in Gallitzin hold a high school diploma at 29.8% compared to 15.8% in Southaven.
- More residents in Gallitzin have less than a high school education at 20.6% compared to 8.7% in Southaven.
- In Southaven, a larger share of residents have a bachelor's degree or higher at 16.0% compared to 9.9% in Gallitzin.
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.