Demographics details for Boyle, MS vs Mountain home, ID
Population Overview
Compare main population characteristics in Boyle, MS vs Mountain home, ID.
| Data | Boyle | Mountain home |
|---|---|---|
| Population | 499 | 16,469 |
| Median Age | 36.7 years | 31.3 years |
| Median Income | $33,750 | $53,108 |
| Married Families | 25.0% | 36.0% |
| Poverty Level | 20% | 12% |
| Unemployment Rate | 4.5 | 3.1 |
Population Comparison: Boyle vs Mountain home
- The population in Mountain home is higher at 16,469, compared to 499 in Boyle.
- Residents in Boyle have a higher median age of 36.7 years compared to 31.3 years in Mountain home.
- Mountain home has a higher median income of $53,108, compared to $33,750 in Boyle.
- In Mountain home, the percentage of married families is higher at 36.0%, compared to 25.0% in Boyle.
- Boyle has a higher poverty level at 20% compared to 12% in Mountain home.
- The unemployment rate in Boyle is higher at 4.5%, compared to 3.1% in Mountain home.
Demographics
Demographics Boyle vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Boyle | Mountain home |
|---|---|---|
| Black | 50 | 2 |
| White | 50 | 69 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 14 |
| Two or More Races | Data is updating | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Boyle vs Mountain home
- A higher percentage of Black residents are in Boyle at 50% compared to 2% in Mountain home.
- The percentage of White residents is higher in Mountain home at 69% compared to 50% in Boyle.
- In Mountain home, the Asian population stands at 4%, greater than 0% in Boyle.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 0% in Boyle.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 0% in Boyle.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Boyle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boyle | Mountain home |
|---|---|---|
| Mental Health Not Good | 17.4% | 16.9% |
| Physical Health Not Good | 13.3% | 12.6% |
| Depression | 20.4% | 22.4% |
| Smoking | 20.5% | 18.3% |
| Binge Drinking | 13.0% | 15.8% |
| Obesity | 41.3% | 36.1% |
| Disability Percentage | 48.0% | 18.0% |
Health Statistics Comparison: Boyle vs Mountain home
- More residents in Boyle report poor mental health at 17.4% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Mountain home at 22.4% versus 20.4% in Boyle.
- Smoking is more prevalent in Boyle at 20.5% compared to 18.3% in Mountain home.
- More residents engage in binge drinking in Mountain home at 15.8% compared to 13.0% in Boyle.
- Obesity rates are higher in Boyle at 41.3% compared to 36.1% in Mountain home.
- Disability percentages are higher in Boyle at 48.0% compared to 18.0% in Mountain home.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boyle | Mountain home |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.7% (273) |
| High School Diploma | 16.2% (81) | 16.3% (2,690) |
| Less than High School | 17.0% (85) | 12.8% (2,116) |
| Bachelor's Degree and Higher | 41.7% (208) | 10.4% (1,720) |
Education Levels Comparison: Boyle vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Boyle.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.3% compared to 16.2% in Boyle.
- More residents in Boyle have less than a high school education at 17.0% compared to 12.8% in Mountain home.
- A higher percentage of residents in Boyle hold a bachelor's degree or higher at 41.7% compared to 10.4% in Mountain home.
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.