Demographics details for Bigfork, MN vs Saint marys, PA
Population Overview
Compare main population characteristics in Bigfork, MN vs Saint marys, PA.
| Data | Bigfork | Saint marys |
|---|---|---|
| Population | 403 | 12,520 |
| Median Age | 66.3 years | 50.5 years |
| Median Income | $33,750 | $61,364 |
| Married Families | 31.0% | 43.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Bigfork vs Saint marys
- The population in Saint marys is higher at 12,520, compared to 403 in Bigfork.
- Residents in Bigfork have a higher median age of 66.3 years compared to 50.5 years in Saint marys.
- Saint marys has a higher median income of $61,364, compared to $33,750 in Bigfork.
- In Saint marys, the percentage of married families is higher at 43.0%, compared to 31.0% in Bigfork.
- The poverty level is identical in both Bigfork and Saint marys at 9%.
- Saint marys has a higher unemployment rate at 4.5% compared to 3.5% in Bigfork.
Demographics
Demographics Bigfork vs Saint marys provide insight into the diversity of the communities to compare.
| Demographic | Bigfork | Saint marys |
|---|---|---|
| Black | 1 | 1 |
| White | 93 | 95 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 1 |
| Two or More Races | 1 | 3 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Bigfork vs Saint marys
- The percentage of Black residents is the same in both Bigfork and Saint marys at 1%.
- The percentage of White residents is higher in Saint marys at 95% compared to 93% in Bigfork.
- Both Bigfork and Saint marys have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bigfork at 2% compared to 1% in Saint marys.
- The percentage of residents identifying as two or more races is higher in Saint marys at 3%, compared to 1% in Bigfork.
- A greater percentage of American Indian residents live in Bigfork at 3% compared to 0% in Saint marys.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bigfork | Saint marys |
|---|---|---|
| Mental Health Not Good | 16.0% | 16.8% |
| Physical Health Not Good | 10.4% | 11.2% |
| Depression | 24.3% | 23.8% |
| Smoking | 21.9% | 19.4% |
| Binge Drinking | 18.4% | 18.7% |
| Obesity | 41.6% | 34.4% |
| Disability Percentage | 23.0% | 17.0% |
Health Statistics Comparison: Bigfork vs Saint marys
- In Saint marys, a higher percentage report poor mental health at 16.8% compared to 16.0% in Bigfork.
- Depression is more prevalent in Bigfork at 24.3% compared to 23.8% in Saint marys.
- Smoking is more prevalent in Bigfork at 21.9% compared to 19.4% in Saint marys.
- More residents engage in binge drinking in Saint marys at 18.7% compared to 18.4% in Bigfork.
- Obesity rates are higher in Bigfork at 41.6% compared to 34.4% in Saint marys.
- Disability percentages are higher in Bigfork at 23.0% compared to 17.0% in Saint marys.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bigfork | Saint marys |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (62) |
| High School Diploma | 26.6% (107) | 36.9% (4,616) |
| Less than High School | 9.7% (39) | 9.3% (1,170) |
| Bachelor's Degree and Higher | 8.2% (33) | 15.1% (1,895) |
Education Levels Comparison: Bigfork vs Saint marys
- In Saint marys, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Bigfork.
- In Saint marys, the rate of residents with high school diplomas is higher at 36.9% compared to 26.6% in Bigfork.
- More residents in Bigfork have less than a high school education at 9.7% compared to 9.3% in Saint marys.
- In Saint marys, a larger share of residents have a bachelor's degree or higher at 15.1% compared to 8.2% in Bigfork.
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.