Demographics details for White swan, WA vs Gallitzin, PA
Population Overview
Compare main population characteristics in White swan, WA vs Gallitzin, PA.
Data | White swan | Gallitzin |
---|---|---|
Population | 561 | 1,508 |
Median Age | 24.5 years | 39.4 years |
Median Income | $51,667 | $52,500 |
Married Families | 13.0% | 32.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 8.2 | 5.2 |
Population Comparison: White swan vs Gallitzin
- The population in Gallitzin is higher at 1,508, compared to 561 in White swan.
- The median age in Gallitzin is higher at 39.4 years, compared to 24.5 years in White swan.
- Gallitzin has a higher median income of $52,500, compared to $51,667 in White swan.
- In Gallitzin, the percentage of married families is higher at 32.0%, compared to 13.0% in White swan.
- The poverty level is identical in both White swan and Gallitzin at 12%.
- The unemployment rate in White swan is higher at 8.2%, compared to 5.2% in Gallitzin.
Demographics
Demographics White swan vs Gallitzin provide insight into the diversity of the communities to compare.
Demographic | White swan | Gallitzin |
---|---|---|
Black | Data is updating | Data is updating |
White | -6 | 93 |
Asian | Data is updating | Data is updating |
Hispanic | 26 | 3 |
Two or More Races | 10 | 4 |
American Indian | 70 | Data is updating |
Demographics Comparison: White swan vs Gallitzin
- The percentage of Black residents is the same in both White swan and Gallitzin at 0%.
- The percentage of White residents is higher in Gallitzin at 93% compared to -6% in White swan.
- Both White swan and Gallitzin have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in White swan at 26% compared to 3% in Gallitzin.
- More residents identify as two or more races in White swan at 10% compared to 4% in Gallitzin.
- A greater percentage of American Indian residents live in White swan at 70% compared to 0% in Gallitzin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | White swan | Gallitzin |
---|---|---|
Mental Health Not Good | 22.0% | 18.3% |
Physical Health Not Good | 18.1% | 12.1% |
Depression | 24.7% | 25.2% |
Smoking | 26.0% | 20.9% |
Binge Drinking | 15.8% | 18.5% |
Obesity | 43.8% | 38.6% |
Disability Percentage | 21.0% | 22.0% |
Health Statistics Comparison: White swan vs Gallitzin
- More residents in White swan report poor mental health at 22.0% compared to 18.3% in Gallitzin.
- Higher depression rates are seen in Gallitzin at 25.2% versus 24.7% in White swan.
- Smoking is more prevalent in White swan at 26.0% compared to 20.9% in Gallitzin.
- More residents engage in binge drinking in Gallitzin at 18.5% compared to 15.8% in White swan.
- Obesity rates are higher in White swan at 43.8% compared to 38.6% in Gallitzin.
- There is a higher percentage of disabled individuals in Gallitzin at 22.0% compared to 21.0% in White swan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | White swan | Gallitzin |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (16) |
High School Diploma | 16.4% (92) | 29.8% (449) |
Less than High School | 24.8% (139) | 20.6% (310) |
Bachelor's Degree and Higher | 0.9% (5) | 9.9% (150) |
Education Levels Comparison: White swan vs Gallitzin
- In Gallitzin, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in White swan.
- In Gallitzin, the rate of residents with high school diplomas is higher at 29.8% compared to 16.4% in White swan.
- More residents in White swan have less than a high school education at 24.8% compared to 20.6% in Gallitzin.
- In Gallitzin, a larger share of residents have a bachelor's degree or higher at 9.9% compared to 0.9% in White swan.
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.