Demographics details for Butler, MO vs Catlettsburg, KY
Population Overview
Compare main population characteristics in Butler, MO vs Catlettsburg, KY.
| Data | Butler | Catlettsburg |
|---|---|---|
| Population | 4,246 | 1,746 |
| Median Age | 36.7 years | 48.0 years |
| Median Income | $33,548 | $33,047 |
| Married Families | 35.0% | 28.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 4.3 | 5.0 |
Population Comparison: Butler vs Catlettsburg
- In Butler, the population is higher at 4,246, compared to 1,746 in Catlettsburg.
- The median age in Catlettsburg is higher at 48.0 years, compared to 36.7 years in Butler.
- Butler has a higher median income of $33,548 compared to $33,047 in Catlettsburg.
- A higher percentage of married families is found in Butler at 35.0% compared to 28.0% in Catlettsburg.
- Butler has a higher poverty level at 14% compared to 12% in Catlettsburg.
- Catlettsburg has a higher unemployment rate at 5.0% compared to 4.3% in Butler.
Demographics
Demographics Butler vs Catlettsburg provide insight into the diversity of the communities to compare.
| Demographic | Butler | Catlettsburg |
|---|---|---|
| Black | 6 | 5 |
| White | 89 | 90 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 1 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Catlettsburg
- A higher percentage of Black residents are in Butler at 6% compared to 5% in Catlettsburg.
- The percentage of White residents is higher in Catlettsburg at 90% compared to 89% in Butler.
- The Asian population is larger in Butler at 1% compared to 0% in Catlettsburg.
- The percentage of Hispanic residents is the same in both Butler and Catlettsburg at 1%.
- The percentage of residents identifying as two or more races is higher in Catlettsburg at 4%, compared to 3% in Butler.
- The percentage of American Indian residents is the same in both Butler and Catlettsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Catlettsburg |
|---|---|---|
| Mental Health Not Good | 20.0% | 22.4% |
| Physical Health Not Good | 15.0% | 18.0% |
| Depression | 27.0% | 32.9% |
| Smoking | 26.2% | 29.0% |
| Binge Drinking | 16.4% | 13.5% |
| Obesity | 42.8% | 42.8% |
| Disability Percentage | 21.0% | 32.0% |
Health Statistics Comparison: Butler vs Catlettsburg
- In Catlettsburg, a higher percentage report poor mental health at 22.4% compared to 20.0% in Butler.
- Higher depression rates are seen in Catlettsburg at 32.9% versus 27.0% in Butler.
- Catlettsburg has a higher smoking rate at 29.0% compared to 26.2% in Butler.
- Binge drinking is more common in Butler at 16.4% compared to 13.5% in Catlettsburg.
- Both cities have the same obesity rates at 42.8%.
- There is a higher percentage of disabled individuals in Catlettsburg at 32.0% compared to 21.0% in Butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Catlettsburg |
|---|---|---|
| No Schooling | 0.7% (31) | 2.9% (50) |
| High School Diploma | 37.8% (1,605) | 28.8% (502) |
| Less than High School | 11.9% (505) | 33.4% (584) |
| Bachelor's Degree and Higher | 7.8% (330) | 4.6% (80) |
Education Levels Comparison: Butler vs Catlettsburg
- In Catlettsburg, a larger percentage of residents lack formal schooling at 2.9% compared to 0.7% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 37.8% compared to 28.8% in Catlettsburg.
- The percentage of residents with less than a high school education is higher in Catlettsburg at 33.4%, 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 4.6% in Catlettsburg.
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.