Demographics details for Boyle, MS vs Ogema, MN
Population Overview
Compare main population characteristics in Boyle, MS vs Ogema, MN.
| Data | Boyle | Ogema |
|---|---|---|
| Population | 499 | 204 |
| Median Age | 36.7 years | 28.5 years |
| Median Income | $33,750 | $51,750 |
| Married Families | 25.0% | 26.0% |
| Poverty Level | 20% | 10% |
| Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Boyle vs Ogema
- In Boyle, the population is higher at 499, compared to 204 in Ogema.
- Residents in Boyle have a higher median age of 36.7 years compared to 28.5 years in Ogema.
- Ogema has a higher median income of $51,750, compared to $33,750 in Boyle.
- In Ogema, the percentage of married families is higher at 26.0%, compared to 25.0% in Boyle.
- Boyle has a higher poverty level at 20% compared to 10% in Ogema.
- The unemployment rate in Boyle is higher at 4.5%, compared to 4.3% in Ogema.
Demographics
Demographics Boyle vs Ogema provide insight into the diversity of the communities to compare.
| Demographic | Boyle | Ogema |
|---|---|---|
| Black | 50 | Data is updating |
| White | 50 | 6 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 12 |
| Two or More Races | Data is updating | 26 |
| American Indian | Data is updating | 56 |
Demographics Comparison: Boyle vs Ogema
- A higher percentage of Black residents are in Boyle at 50% compared to 0% in Ogema.
- Boyle has a higher percentage of White residents at 50% compared to 6% in Ogema.
- Both Boyle and Ogema have the same percentage of Asian residents at 0%.
- Ogema has a higher percentage of Hispanic residents at 12%, compared to 0% in Boyle.
- The percentage of residents identifying as two or more races is higher in Ogema at 26%, compared to 0% in Boyle.
- In Ogema, the percentage of American Indian residents is higher at 56%, compared to 0% in Boyle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boyle | Ogema |
|---|---|---|
| Mental Health Not Good | 17.4% | 19.0% |
| Physical Health Not Good | 13.3% | 13.5% |
| Depression | 20.4% | 26.1% |
| Smoking | 20.5% | 26.1% |
| Binge Drinking | 13.0% | 18.8% |
| Obesity | 41.3% | 47.1% |
| Disability Percentage | 48.0% | 13.0% |
Health Statistics Comparison: Boyle vs Ogema
- In Ogema, a higher percentage report poor mental health at 19.0% compared to 17.4% in Boyle.
- Higher depression rates are seen in Ogema at 26.1% versus 20.4% in Boyle.
- Ogema has a higher smoking rate at 26.1% compared to 20.5% in Boyle.
- More residents engage in binge drinking in Ogema at 18.8% compared to 13.0% in Boyle.
- Ogema has higher obesity rates at 47.1% compared to 41.3% in Boyle.
- Disability percentages are higher in Boyle at 48.0% 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 | Boyle | Ogema |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (1) |
| High School Diploma | 16.2% (81) | 19.6% (40) |
| Less than High School | 17.0% (85) | 11.8% (24) |
| Bachelor's Degree and Higher | 41.7% (208) | 12.3% (25) |
Education Levels Comparison: Boyle vs Ogema
- In Ogema, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Boyle.
- In Ogema, the rate of residents with high school diplomas is higher at 19.6% compared to 16.2% in Boyle.
- More residents in Boyle have less than a high school education at 17.0% compared to 11.8% in Ogema.
- A higher percentage of residents in Boyle hold a bachelor's degree or higher at 41.7% 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.