Demographics details for Butler, PA vs Monett, MO
Population Overview
Compare main population characteristics in Butler, PA vs Monett, MO.
| Data | Butler | Monett |
|---|---|---|
| Population | 13,176 | 9,789 |
| Median Age | 38.2 years | 34.7 years |
| Median Income | $39,546 | $42,635 |
| Married Families | 26.0% | 33.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Butler vs Monett
- In Butler, the population is higher at 13,176, compared to 9,789 in Monett.
- Residents in Butler have a higher median age of 38.2 years compared to 34.7 years in Monett.
- Monett has a higher median income of $42,635, compared to $39,546 in Butler.
- In Monett, the percentage of married families is higher at 33.0%, compared to 26.0% in Butler.
- The poverty level is higher in Monett at 15%, compared to 12% in Butler.
- The unemployment rate in Butler is higher at 4.2%, compared to 3.8% in Monett.
Demographics
Demographics Butler vs Monett provide insight into the diversity of the communities to compare.
| Demographic | Butler | Monett |
|---|---|---|
| Black | 3 | Data is updating |
| White | 88 | 51 |
| Asian | 1 | 2 |
| Hispanic | 3 | 29 |
| Two or More Races | 5 | 15 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Butler vs Monett
- A higher percentage of Black residents are in Butler at 3% compared to 0% in Monett.
- Butler has a higher percentage of White residents at 88% compared to 51% in Monett.
- In Monett, the Asian population stands at 2%, greater than 1% in Butler.
- Monett has a higher percentage of Hispanic residents at 29%, compared to 3% in Butler.
- The percentage of residents identifying as two or more races is higher in Monett at 15%, compared to 5% in Butler.
- In Monett, the percentage of American Indian residents is higher at 3%, compared to 0% in Butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Monett |
|---|---|---|
| Mental Health Not Good | 19.1% | 18.9% |
| Physical Health Not Good | 14.5% | 14.4% |
| Depression | 24.4% | 25.3% |
| Smoking | 24.6% | 22.8% |
| Binge Drinking | 17.4% | 16.5% |
| Obesity | 38.2% | 41.0% |
| Disability Percentage | 23.0% | 13.0% |
Health Statistics Comparison: Butler vs Monett
- More residents in Butler report poor mental health at 19.1% compared to 18.9% in Monett.
- Higher depression rates are seen in Monett at 25.3% versus 24.4% in Butler.
- Smoking is more prevalent in Butler at 24.6% compared to 22.8% in Monett.
- Binge drinking is more common in Butler at 17.4% compared to 16.5% in Monett.
- Monett has higher obesity rates at 41.0% compared to 38.2% in Butler.
- Disability percentages are higher in Butler at 23.0% compared to 13.0% in Monett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Monett |
|---|---|---|
| No Schooling | 0.1% (14) | 1.0% (97) |
| High School Diploma | 23.6% (3,115) | 20.5% (2,003) |
| Less than High School | 9.3% (1,222) | 20.0% (1,953) |
| Bachelor's Degree and Higher | 15.6% (2,049) | 8.4% (822) |
Education Levels Comparison: Butler vs Monett
- In Monett, a larger percentage of residents lack formal schooling at 1.0% compared to 0.1% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 23.6% compared to 20.5% in Monett.
- The percentage of residents with less than a high school education is higher in Monett at 20.0%, compared to 9.3% in Butler.
- A higher percentage of residents in Butler hold a bachelor's degree or higher at 15.6% compared to 8.4% in Monett.
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.