Demographics details for Butler, MO vs Cleveland, GA
Population Overview
Compare main population characteristics in Butler, MO vs Cleveland, GA.
| Data | Butler | Cleveland |
|---|---|---|
| Population | 4,246 | 3,548 |
| Median Age | 36.7 years | 39.6 years |
| Median Income | $33,548 | $46,994 |
| Married Families | 35.0% | 25.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Butler vs Cleveland
- In Butler, the population is higher at 4,246, compared to 3,548 in Cleveland.
- The median age in Cleveland is higher at 39.6 years, compared to 36.7 years in Butler.
- Cleveland has a higher median income of $46,994, compared to $33,548 in Butler.
- A higher percentage of married families is found in Butler at 35.0% compared to 25.0% in Cleveland.
- Butler has a higher poverty level at 14% compared to 12% in Cleveland.
- The unemployment rate in Butler is higher at 4.3%, compared to 3.5% in Cleveland.
Demographics
Demographics Butler vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Butler | Cleveland |
|---|---|---|
| Black | 6 | 5 |
| White | 89 | 84 |
| Asian | 1 | 2 |
| Hispanic | 1 | 2 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Cleveland
- A higher percentage of Black residents are in Butler at 6% compared to 5% in Cleveland.
- Butler has a higher percentage of White residents at 89% compared to 84% in Cleveland.
- In Cleveland, the Asian population stands at 2%, greater than 1% in Butler.
- Cleveland has a higher percentage of Hispanic residents at 2%, compared to 1% in Butler.
- The percentage of residents identifying as two or more races is higher in Cleveland at 7%, compared to 3% in Butler.
- The percentage of American Indian residents is the same in both Butler and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Cleveland |
|---|---|---|
| Mental Health Not Good | 20.0% | 18.1% |
| Physical Health Not Good | 15.0% | 12.8% |
| Depression | 27.0% | 24.2% |
| Smoking | 26.2% | 18.9% |
| Binge Drinking | 16.4% | 16.2% |
| Obesity | 42.8% | 33.2% |
| Disability Percentage | 21.0% | 17.0% |
Health Statistics Comparison: Butler vs Cleveland
- More residents in Butler report poor mental health at 20.0% compared to 18.1% in Cleveland.
- Depression is more prevalent in Butler at 27.0% compared to 24.2% in Cleveland.
- Smoking is more prevalent in Butler at 26.2% compared to 18.9% in Cleveland.
- Binge drinking is more common in Butler at 16.4% compared to 16.2% in Cleveland.
- Obesity rates are higher in Butler at 42.8% compared to 33.2% in Cleveland.
- Disability percentages are higher in Butler at 21.0% compared to 17.0% in Cleveland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Cleveland |
|---|---|---|
| No Schooling | 0.7% (31) | 0.8% (30) |
| High School Diploma | 37.8% (1,605) | 18.5% (656) |
| Less than High School | 11.9% (505) | 15.4% (545) |
| Bachelor's Degree and Higher | 7.8% (330) | 10.2% (362) |
Education Levels Comparison: Butler vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 0.8% compared to 0.7% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 37.8% compared to 18.5% in Cleveland.
- The percentage of residents with less than a high school education is higher in Cleveland at 15.4%, compared to 11.9% in Butler.
- In Cleveland, a larger share of residents have a bachelor's degree or higher at 10.2% compared to 7.8% in Butler.
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.