Demographics details for Butler, PA vs Churchville, VA
Population Overview
Compare main population characteristics in Butler, PA vs Churchville, VA.
| Data | Butler | Churchville |
|---|---|---|
| Population | 13,176 | 61 |
| Median Age | 38.2 years | 59.7 years |
| Median Income | $39,546 | $81,220 |
| Married Families | 26.0% | 59.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.2 | Data is updating |
Population Comparison: Butler vs Churchville
- In Butler, the population is higher at 13,176, compared to 61 in Churchville.
- The median age in Churchville is higher at 59.7 years, compared to 38.2 years in Butler.
- Churchville has a higher median income of $81,220, compared to $39,546 in Butler.
- In Churchville, the percentage of married families is higher at 59.0%, compared to 26.0% in Butler.
- Butler has a higher poverty level at 12% compared to 0% in Churchville.
- The unemployment rate in Butler is higher at 4.2%, compared to 0.0% in Churchville.
Demographics
Demographics Butler vs Churchville provide insight into the diversity of the communities to compare.
| Demographic | Butler | Churchville |
|---|---|---|
| Black | 3 | Data is updating |
| White | 88 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Churchville
- A higher percentage of Black residents are in Butler at 3% compared to 0% in Churchville.
- The percentage of White residents is higher in Churchville at 100% compared to 88% in Butler.
- The Asian population is larger in Butler at 1% compared to 0% in Churchville.
- The Hispanic community is larger in Butler at 3% compared to 0% in Churchville.
- More residents identify as two or more races in Butler at 5% compared to 0% in Churchville.
- The percentage of American Indian residents is the same in both Butler and Churchville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Churchville |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.2% |
| Physical Health Not Good | 14.5% | 10.3% |
| Depression | 24.4% | 24.9% |
| Smoking | 24.6% | 16.6% |
| Binge Drinking | 17.4% | 18.9% |
| Obesity | 38.2% | 34.4% |
| Disability Percentage | 23.0% | Data is updating% |
Health Statistics Comparison: Butler vs Churchville
- More residents in Butler report poor mental health at 19.1% compared to 17.2% in Churchville.
- Higher depression rates are seen in Churchville at 24.9% versus 24.4% in Butler.
- Smoking is more prevalent in Butler at 24.6% compared to 16.6% in Churchville.
- More residents engage in binge drinking in Churchville at 18.9% compared to 17.4% in Butler.
- Obesity rates are higher in Butler at 38.2% compared to 34.4% in Churchville.
- Disability percentages are higher in Butler at 23.0% compared to 0.0% in Churchville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Churchville |
|---|---|---|
| No Schooling | 0.1% (14) | 0.0% (Data is updating) |
| High School Diploma | 23.6% (3,115) | 0.0% (Data is updating) |
| Less than High School | 9.3% (1,222) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 15.6% (2,049) | 50.8% (31) |
Education Levels Comparison: Butler vs Churchville
- A higher percentage of residents in Butler have no formal schooling at 0.1% compared to 0.0% in Churchville.
- A higher percentage of residents in Butler hold a high school diploma at 23.6% compared to 0.0% in Churchville.
- More residents in Butler have less than a high school education at 9.3% compared to 0.0% in Churchville.
- In Churchville, a larger share of residents have a bachelor's degree or higher at 50.8% 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.