Demographics details for Seneca, MO vs Boyle, MS
Population Overview
Compare main population characteristics in Seneca, MO vs Boyle, MS.
| Data | Seneca | Boyle |
|---|---|---|
| Population | 2,284 | 499 |
| Median Age | 35.3 years | 36.7 years |
| Median Income | $42,279 | $33,750 |
| Married Families | 37.0% | 25.0% |
| Poverty Level | Data is updating | 20% |
| Unemployment Rate | 3.1 | 4.5 |
Population Comparison: Seneca vs Boyle
- In Seneca, the population is higher at 2,284, compared to 499 in Boyle.
- The median age in Boyle is higher at 36.7 years, compared to 35.3 years in Seneca.
- Seneca has a higher median income of $42,279 compared to $33,750 in Boyle.
- A higher percentage of married families is found in Seneca at 37.0% compared to 25.0% in Boyle.
- The poverty level is higher in Boyle at 20%, compared to 0% in Seneca.
- Boyle has a higher unemployment rate at 4.5% compared to 3.1% in Seneca.
Demographics
Demographics Seneca vs Boyle provide insight into the diversity of the communities to compare.
| Demographic | Seneca | Boyle |
|---|---|---|
| Black | Data is updating | 50 |
| White | 87 | 50 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 7 | Data is updating |
| American Indian | 3 | Data is updating |
Demographics Comparison: Seneca vs Boyle
- In Boyle, the percentage of Black residents is higher at 50% compared to 0% in Seneca.
- Seneca has a higher percentage of White residents at 87% compared to 50% in Boyle.
- Both Seneca and Boyle have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Seneca at 3% compared to 0% in Boyle.
- More residents identify as two or more races in Seneca at 7% compared to 0% in Boyle.
- A greater percentage of American Indian residents live in Seneca at 3% compared to 0% in Boyle.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seneca | Boyle |
|---|---|---|
| Mental Health Not Good | 19.3% | 17.4% |
| Physical Health Not Good | 14.1% | 13.3% |
| Depression | 27.1% | 20.4% |
| Smoking | 24.5% | 20.5% |
| Binge Drinking | 16.7% | 13.0% |
| Obesity | 42.3% | 41.3% |
| Disability Percentage | 20.0% | 48.0% |
Health Statistics Comparison: Seneca vs Boyle
- More residents in Seneca report poor mental health at 19.3% compared to 17.4% in Boyle.
- Depression is more prevalent in Seneca at 27.1% compared to 20.4% in Boyle.
- Smoking is more prevalent in Seneca at 24.5% compared to 20.5% in Boyle.
- Binge drinking is more common in Seneca at 16.7% compared to 13.0% in Boyle.
- Obesity rates are higher in Seneca at 42.3% compared to 41.3% in Boyle.
- There is a higher percentage of disabled individuals in Boyle at 48.0% compared to 20.0% in Seneca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seneca | Boyle |
|---|---|---|
| No Schooling | 0.1% (3) | 0.0% (Data is updating) |
| High School Diploma | 18.0% (411) | 16.2% (81) |
| Less than High School | 14.9% (340) | 17.0% (85) |
| Bachelor's Degree and Higher | 7.4% (170) | 41.7% (208) |
Education Levels Comparison: Seneca vs Boyle
- A higher percentage of residents in Seneca have no formal schooling at 0.1% compared to 0.0% in Boyle.
- A higher percentage of residents in Seneca hold a high school diploma at 18.0% 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 14.9% in Seneca.
- In Boyle, a larger share of residents have a bachelor's degree or higher at 41.7% compared to 7.4% in Seneca.
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.