Demographics details for Clayton, NY vs Butler, PA
Population Overview
Compare main population characteristics in Clayton, NY vs Butler, PA.
| Data | Clayton | Butler |
|---|---|---|
| Population | 4,781 | 13,176 |
| Median Age | 46.6 years | 38.2 years |
| Median Income | $74,471 | $39,546 |
| Married Families | 48.0% | 26.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Clayton vs Butler
- The population in Butler is higher at 13,176, compared to 4,781 in Clayton.
- Residents in Clayton have a higher median age of 46.6 years compared to 38.2 years in Butler.
- Clayton has a higher median income of $74,471 compared to $39,546 in Butler.
- A higher percentage of married families is found in Clayton at 48.0% compared to 26.0% in Butler.
- The poverty level is higher in Butler at 12%, compared to 10% in Clayton.
- The unemployment rate in Clayton is higher at 4.5%, compared to 4.2% in Butler.
Demographics
Demographics Clayton vs Butler provide insight into the diversity of the communities to compare.
| Demographic | Clayton | Butler |
|---|---|---|
| Black | Data is updating | 3 |
| White | 95 | 88 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 3 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clayton vs Butler
- In Butler, the percentage of Black residents is higher at 3% compared to 0% in Clayton.
- Clayton has a higher percentage of White residents at 95% compared to 88% in Butler.
- In Butler, the Asian population stands at 1%, greater than 0% in Clayton.
- Butler has a higher percentage of Hispanic residents at 3%, compared to 1% in Clayton.
- The percentage of residents identifying as two or more races is higher in Butler at 5%, compared to 4% in Clayton.
- The percentage of American Indian residents is the same in both Clayton and Butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clayton | Butler |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.1% |
| Physical Health Not Good | Data is updating% | 14.5% |
| Depression | Data is updating% | 24.4% |
| Smoking | Data is updating% | 24.6% |
| Binge Drinking | Data is updating% | 17.4% |
| Obesity | Data is updating% | 38.2% |
| Disability Percentage | 13.0% | 23.0% |
Health Statistics Comparison: Clayton vs Butler
- In Butler, a higher percentage report poor mental health at 19.1% compared to 0.0% in Clayton.
- Higher depression rates are seen in Butler at 24.4% versus 0.0% in Clayton.
- Butler has a higher smoking rate at 24.6% compared to 0.0% in Clayton.
- More residents engage in binge drinking in Butler at 17.4% compared to 0.0% in Clayton.
- Butler has higher obesity rates at 38.2% compared to 0.0% in Clayton.
- There is a higher percentage of disabled individuals in Butler at 23.0% compared to 13.0% in Clayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clayton | Butler |
|---|---|---|
| No Schooling | 0.1% (4) | 0.1% (14) |
| High School Diploma | 18.3% (874) | 23.6% (3,115) |
| Less than High School | 14.2% (679) | 9.3% (1,222) |
| Bachelor's Degree and Higher | 20.6% (983) | 15.6% (2,049) |
Education Levels Comparison: Clayton vs Butler
- The percentage of residents with no formal schooling is the same in both Clayton and Butler at 0.1%.
- In Butler, the rate of residents with high school diplomas is higher at 23.6% compared to 18.3% in Clayton.
- More residents in Clayton have less than a high school education at 14.2% compared to 9.3% in Butler.
- A higher percentage of residents in Clayton hold a bachelor's degree or higher at 20.6% compared to 15.6% 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.