Demographics details for What cheer, IA vs Boyle, MS
Population Overview
Compare main population characteristics in What cheer, IA vs Boyle, MS.
| Data | What cheer | Boyle |
|---|---|---|
| Population | 597 | 499 |
| Median Age | 34.8 years | 36.7 years |
| Median Income | $45,500 | $33,750 |
| Married Families | 45.0% | 25.0% |
| Poverty Level | 12% | 20% |
| Unemployment Rate | 3.9 | 4.5 |
Population Comparison: What cheer vs Boyle
- In What cheer, the population is higher at 597, compared to 499 in Boyle.
- The median age in Boyle is higher at 36.7 years, compared to 34.8 years in What cheer.
- What cheer has a higher median income of $45,500 compared to $33,750 in Boyle.
- A higher percentage of married families is found in What cheer at 45.0% compared to 25.0% in Boyle.
- The poverty level is higher in Boyle at 20%, compared to 12% in What cheer.
- Boyle has a higher unemployment rate at 4.5% compared to 3.9% in What cheer.
Demographics
Demographics What cheer vs Boyle provide insight into the diversity of the communities to compare.
| Demographic | What cheer | Boyle |
|---|---|---|
| Black | 3 | 50 |
| White | 87 | 50 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | Data is updating |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: What cheer vs Boyle
- In Boyle, the percentage of Black residents is higher at 50% compared to 3% in What cheer.
- What cheer has a higher percentage of White residents at 87% compared to 50% in Boyle.
- Both What cheer and Boyle have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in What cheer at 6% compared to 0% in Boyle.
- More residents identify as two or more races in What cheer at 4% compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both What cheer and Boyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | What cheer | Boyle |
|---|---|---|
| Mental Health Not Good | 17.0% | 17.4% |
| Physical Health Not Good | 11.3% | 13.3% |
| Depression | 20.1% | 20.4% |
| Smoking | 21.2% | 20.5% |
| Binge Drinking | 21.0% | 13.0% |
| Obesity | 40.1% | 41.3% |
| Disability Percentage | 30.0% | 48.0% |
Health Statistics Comparison: What cheer vs Boyle
- In Boyle, a higher percentage report poor mental health at 17.4% compared to 17.0% in What cheer.
- Higher depression rates are seen in Boyle at 20.4% versus 20.1% in What cheer.
- Smoking is more prevalent in What cheer at 21.2% compared to 20.5% in Boyle.
- Binge drinking is more common in What cheer at 21.0% compared to 13.0% in Boyle.
- Boyle has higher obesity rates at 41.3% compared to 40.1% in What cheer.
- There is a higher percentage of disabled individuals in Boyle at 48.0% compared to 30.0% in What cheer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | What cheer | Boyle |
|---|---|---|
| No Schooling | 1.5% (9) | 0.0% (Data is updating) |
| High School Diploma | 31.8% (190) | 16.2% (81) |
| Less than High School | 11.9% (71) | 17.0% (85) |
| Bachelor's Degree and Higher | 5.0% (30) | 41.7% (208) |
Education Levels Comparison: What cheer vs Boyle
- A higher percentage of residents in What cheer have no formal schooling at 1.5% compared to 0.0% in Boyle.
- A higher percentage of residents in What cheer hold a high school diploma at 31.8% compared to 16.2% in Boyle.
- The percentage of residents with less than a high school education is higher in Boyle at 17.0%, compared to 11.9% in What cheer.
- In Boyle, a larger share of residents have a bachelor's degree or higher at 41.7% compared to 5.0% in What cheer.
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.