Demographics details for Butler, PA vs West winfield, NY
Population Overview
Compare main population characteristics in Butler, PA vs West winfield, NY.
| Data | Butler | West winfield |
|---|---|---|
| Population | 13,176 | 741 |
| Median Age | 38.2 years | 40.1 years |
| Median Income | $39,546 | $70,000 |
| Married Families | 26.0% | 44.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Butler vs West winfield
- In Butler, the population is higher at 13,176, compared to 741 in West winfield.
- The median age in West winfield is higher at 40.1 years, compared to 38.2 years in Butler.
- West winfield has a higher median income of $70,000, compared to $39,546 in Butler.
- In West winfield, the percentage of married families is higher at 44.0%, compared to 26.0% in Butler.
- Butler has a higher poverty level at 12% compared to 9% in West winfield.
- West winfield has a higher unemployment rate at 4.5% compared to 4.2% in Butler.
Demographics
Demographics Butler vs West winfield provide insight into the diversity of the communities to compare.
| Demographic | Butler | West winfield |
|---|---|---|
| Black | 3 | Data is updating |
| White | 88 | 68 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 15 |
| Two or More Races | 5 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs West winfield
- A higher percentage of Black residents are in Butler at 3% compared to 0% in West winfield.
- Butler has a higher percentage of White residents at 88% compared to 68% in West winfield.
- The Asian population is larger in Butler at 1% compared to 0% in West winfield.
- West winfield has a higher percentage of Hispanic residents at 15%, compared to 3% in Butler.
- The percentage of residents identifying as two or more races is higher in West winfield at 17%, compared to 5% in Butler.
- The percentage of American Indian residents is the same in both Butler and West winfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | West winfield |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.2% |
| Physical Health Not Good | 14.5% | 11.4% |
| Depression | 24.4% | 25.1% |
| Smoking | 24.6% | 20.9% |
| Binge Drinking | 17.4% | 20.6% |
| Obesity | 38.2% | 33.5% |
| Disability Percentage | 23.0% | 14.0% |
Health Statistics Comparison: Butler vs West winfield
- More residents in Butler report poor mental health at 19.1% compared to 17.2% in West winfield.
- Higher depression rates are seen in West winfield at 25.1% versus 24.4% in Butler.
- Smoking is more prevalent in Butler at 24.6% compared to 20.9% in West winfield.
- More residents engage in binge drinking in West winfield at 20.6% compared to 17.4% in Butler.
- Obesity rates are higher in Butler at 38.2% compared to 33.5% in West winfield.
- Disability percentages are higher in Butler at 23.0% compared to 14.0% in West winfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | West winfield |
|---|---|---|
| No Schooling | 0.1% (14) | 1.1% (8) |
| High School Diploma | 23.6% (3,115) | 27.7% (205) |
| Less than High School | 9.3% (1,222) | 13.2% (98) |
| Bachelor's Degree and Higher | 15.6% (2,049) | 17.1% (127) |
Education Levels Comparison: Butler vs West winfield
- In West winfield, a larger percentage of residents lack formal schooling at 1.1% compared to 0.1% in Butler.
- In West winfield, the rate of residents with high school diplomas is higher at 27.7% compared to 23.6% in Butler.
- The percentage of residents with less than a high school education is higher in West winfield at 13.2%, compared to 9.3% in Butler.
- In West winfield, a larger share of residents have a bachelor's degree or higher at 17.1% 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.