Demographics details for Butler, MO vs Bryant, SD
Population Overview
Compare main population characteristics in Butler, MO vs Bryant, SD.
| Data | Butler | Bryant |
|---|---|---|
| Population | 4,246 | 473 |
| Median Age | 36.7 years | 22.8 years |
| Median Income | $33,548 | $58,558 |
| Married Families | 35.0% | 56.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 4.3 | 2.5 |
Population Comparison: Butler vs Bryant
- In Butler, the population is higher at 4,246, compared to 473 in Bryant.
- Residents in Butler have a higher median age of 36.7 years compared to 22.8 years in Bryant.
- Bryant has a higher median income of $58,558, compared to $33,548 in Butler.
- In Bryant, the percentage of married families is higher at 56.0%, compared to 35.0% in Butler.
- Butler has a higher poverty level at 14% compared to 10% in Bryant.
- The unemployment rate in Butler is higher at 4.3%, compared to 2.5% in Bryant.
Demographics
Demographics Butler vs Bryant provide insight into the diversity of the communities to compare.
| Demographic | Butler | Bryant |
|---|---|---|
| Black | 6 | Data is updating |
| White | 89 | 89 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 11 |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Bryant
- A higher percentage of Black residents are in Butler at 6% compared to 0% in Bryant.
- The percentage of White residents is the same in both Butler and Bryant at 89%.
- The Asian population is larger in Butler at 1% compared to 0% in Bryant.
- Bryant has a higher percentage of Hispanic residents at 11%, compared to 1% in Butler.
- More residents identify as two or more races in Butler at 3% compared to 0% in Bryant.
- The percentage of American Indian residents is the same in both Butler and Bryant at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Bryant |
|---|---|---|
| Mental Health Not Good | 20.0% | 13.2% |
| Physical Health Not Good | 15.0% | 9.0% |
| Depression | 27.0% | 18.0% |
| Smoking | 26.2% | 17.5% |
| Binge Drinking | 16.4% | 20.1% |
| Obesity | 42.8% | 36.6% |
| Disability Percentage | 21.0% | 10.0% |
Health Statistics Comparison: Butler vs Bryant
- More residents in Butler report poor mental health at 20.0% compared to 13.2% in Bryant.
- Depression is more prevalent in Butler at 27.0% compared to 18.0% in Bryant.
- Smoking is more prevalent in Butler at 26.2% compared to 17.5% in Bryant.
- More residents engage in binge drinking in Bryant at 20.1% compared to 16.4% in Butler.
- Obesity rates are higher in Butler at 42.8% compared to 36.6% in Bryant.
- Disability percentages are higher in Butler at 21.0% compared to 10.0% in Bryant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Bryant |
|---|---|---|
| No Schooling | 0.7% (31) | 3.4% (16) |
| High School Diploma | 37.8% (1,605) | 32.8% (155) |
| Less than High School | 11.9% (505) | 33.0% (156) |
| Bachelor's Degree and Higher | 7.8% (330) | 6.1% (29) |
Education Levels Comparison: Butler vs Bryant
- In Bryant, a larger percentage of residents lack formal schooling at 3.4% compared to 0.7% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 37.8% compared to 32.8% in Bryant.
- The percentage of residents with less than a high school education is higher in Bryant at 33.0%, compared to 11.9% in Butler.
- A higher percentage of residents in Butler hold a bachelor's degree or higher at 7.8% compared to 6.1% in Bryant.
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.