Demographics details for Gallitzin, PA vs Fontana, CA
Population Overview
Compare main population characteristics in Gallitzin, PA vs Fontana, CA.
| Data | Gallitzin | Fontana |
|---|---|---|
| Population | 1,508 | 212,475 |
| Median Age | 39.4 years | 32.6 years |
| Median Income | $52,500 | $93,230 |
| Married Families | 32.0% | 36.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 5.2 | 5.0 |
Population Comparison: Gallitzin vs Fontana
- The population in Fontana is higher at 212,475, compared to 1,508 in Gallitzin.
- Residents in Gallitzin have a higher median age of 39.4 years compared to 32.6 years in Fontana.
- Fontana has a higher median income of $93,230, compared to $52,500 in Gallitzin.
- In Fontana, the percentage of married families is higher at 36.0%, compared to 32.0% in Gallitzin.
- The poverty level is higher in Fontana at 13%, compared to 12% in Gallitzin.
- The unemployment rate in Gallitzin is higher at 5.2%, compared to 5.0% in Fontana.
Demographics
Demographics Gallitzin vs Fontana provide insight into the diversity of the communities to compare.
| Demographic | Gallitzin | Fontana |
|---|---|---|
| Black | Data is updating | 8 |
| White | 93 | 2 |
| Asian | Data is updating | 7 |
| Hispanic | 3 | 68 |
| Two or More Races | 4 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Gallitzin vs Fontana
- In Fontana, the percentage of Black residents is higher at 8% compared to 0% in Gallitzin.
- Gallitzin has a higher percentage of White residents at 93% compared to 2% in Fontana.
- In Fontana, the Asian population stands at 7%, greater than 0% in Gallitzin.
- Fontana has a higher percentage of Hispanic residents at 68%, compared to 3% in Gallitzin.
- The percentage of residents identifying as two or more races is higher in Fontana at 14%, compared to 4% in Gallitzin.
- In Fontana, the percentage of American Indian residents is higher at 1%, compared to 0% in Gallitzin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gallitzin | Fontana |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.2% |
| Physical Health Not Good | 12.1% | 12.6% |
| Depression | 25.2% | 17.0% |
| Smoking | 20.9% | 12.4% |
| Binge Drinking | 18.5% | 15.1% |
| Obesity | 38.6% | 38.6% |
| Disability Percentage | 22.0% | 8.0% |
Health Statistics Comparison: Gallitzin vs Fontana
- More residents in Gallitzin report poor mental health at 18.3% compared to 16.2% in Fontana.
- Depression is more prevalent in Gallitzin at 25.2% compared to 17.0% in Fontana.
- Smoking is more prevalent in Gallitzin at 20.9% compared to 12.4% in Fontana.
- Binge drinking is more common in Gallitzin at 18.5% compared to 15.1% in Fontana.
- Both cities have the same obesity rates at 38.6%.
- Disability percentages are higher in Gallitzin at 22.0% compared to 8.0% in Fontana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gallitzin | Fontana |
|---|---|---|
| No Schooling | 1.1% (16) | 2.2% (4,748) |
| High School Diploma | 29.8% (449) | 16.3% (34,556) |
| Less than High School | 20.6% (310) | 25.3% (53,655) |
| Bachelor's Degree and Higher | 9.9% (150) | 12.0% (25,587) |
Education Levels Comparison: Gallitzin vs Fontana
- In Fontana, a larger percentage of residents lack formal schooling at 2.2% compared to 1.1% in Gallitzin.
- A higher percentage of residents in Gallitzin hold a high school diploma at 29.8% compared to 16.3% in Fontana.
- The percentage of residents with less than a high school education is higher in Fontana at 25.3%, compared to 20.6% in Gallitzin.
- In Fontana, a larger share of residents have a bachelor's degree or higher at 12.0% 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.