Demographics details for Saint marys, PA vs Ogema, MN
Population Overview
Compare main population characteristics in Saint marys, PA vs Ogema, MN.
| Data | Saint marys | Ogema |
|---|---|---|
| Population | 12,520 | 204 |
| Median Age | 50.5 years | 28.5 years |
| Median Income | $61,364 | $51,750 |
| Married Families | 43.0% | 26.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Saint marys vs Ogema
- In Saint marys, the population is higher at 12,520, compared to 204 in Ogema.
- Residents in Saint marys have a higher median age of 50.5 years compared to 28.5 years in Ogema.
- Saint marys has a higher median income of $61,364 compared to $51,750 in Ogema.
- A higher percentage of married families is found in Saint marys at 43.0% compared to 26.0% in Ogema.
- The poverty level is higher in Ogema at 10%, compared to 9% in Saint marys.
- The unemployment rate in Saint marys is higher at 4.5%, compared to 4.3% in Ogema.
Demographics
Demographics Saint marys vs Ogema provide insight into the diversity of the communities to compare.
| Demographic | Saint marys | Ogema |
|---|---|---|
| Black | 1 | Data is updating |
| White | 95 | 6 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 12 |
| Two or More Races | 3 | 26 |
| American Indian | Data is updating | 56 |
Demographics Comparison: Saint marys vs Ogema
- A higher percentage of Black residents are in Saint marys at 1% compared to 0% in Ogema.
- Saint marys has a higher percentage of White residents at 95% compared to 6% in Ogema.
- Both Saint marys and Ogema have the same percentage of Asian residents at 0%.
- Ogema has a higher percentage of Hispanic residents at 12%, compared to 1% in Saint marys.
- The percentage of residents identifying as two or more races is higher in Ogema at 26%, compared to 3% in Saint marys.
- In Ogema, the percentage of American Indian residents is higher at 56%, compared to 0% in Saint marys.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Saint marys | Ogema |
|---|---|---|
| Mental Health Not Good | 16.8% | 19.0% |
| Physical Health Not Good | 11.2% | 13.5% |
| Depression | 23.8% | 26.1% |
| Smoking | 19.4% | 26.1% |
| Binge Drinking | 18.7% | 18.8% |
| Obesity | 34.4% | 47.1% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Saint marys vs Ogema
- In Ogema, a higher percentage report poor mental health at 19.0% compared to 16.8% in Saint marys.
- Higher depression rates are seen in Ogema at 26.1% versus 23.8% in Saint marys.
- Ogema has a higher smoking rate at 26.1% compared to 19.4% in Saint marys.
- More residents engage in binge drinking in Ogema at 18.8% compared to 18.7% in Saint marys.
- Ogema has higher obesity rates at 47.1% compared to 34.4% in Saint marys.
- Disability percentages are higher in Saint marys at 17.0% compared to 13.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Saint marys | Ogema |
|---|---|---|
| No Schooling | 0.5% (62) | 0.5% (1) |
| High School Diploma | 36.9% (4,616) | 19.6% (40) |
| Less than High School | 9.3% (1,170) | 11.8% (24) |
| Bachelor's Degree and Higher | 15.1% (1,895) | 12.3% (25) |
Education Levels Comparison: Saint marys vs Ogema
- The percentage of residents with no formal schooling is the same in both Saint marys and Ogema at 0.5%.
- A higher percentage of residents in Saint marys hold a high school diploma at 36.9% compared to 19.6% in Ogema.
- The percentage of residents with less than a high school education is higher in Ogema at 11.8%, compared to 9.3% in Saint marys.
- A higher percentage of residents in Saint marys hold a bachelor's degree or higher at 15.1% compared to 12.3% in Ogema.
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.