Demographics details for Butler, WI vs Ashfield, MA
Population Overview
Compare main population characteristics in Butler, WI vs Ashfield, MA.
| Data | Butler | Ashfield |
|---|---|---|
| Population | 1,811 | 1,734 |
| Median Age | 38.0 years | 45.0 years |
| Median Income | $65,000 | $76,000 |
| Married Families | 52.0% | 70.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Butler vs Ashfield
- In Butler, the population is higher at 1,811, compared to 1,734 in Ashfield.
- The median age in Ashfield is higher at 45.0 years, compared to 38.0 years in Butler.
- Ashfield has a higher median income of $76,000, compared to $65,000 in Butler.
- In Ashfield, the percentage of married families is higher at 70.0%, compared to 52.0% in Butler.
- The poverty level is higher in Ashfield at 8%, compared to 5% in Butler.
- The unemployment rate in Butler is higher at 3.5%, compared to 3.0% in Ashfield.
Demographics
Demographics Butler vs Ashfield provide insight into the diversity of the communities to compare.
| Demographic | Butler | Ashfield |
|---|---|---|
| Black | 2 | Data is updating |
| White | 88 | 97.5 |
| Asian | 5 | Data is updating |
| Hispanic | 3 | 1.5 |
| Two or More Races | 2 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Ashfield
- A higher percentage of Black residents are in Butler at 2% compared to 0% in Ashfield.
- The percentage of White residents is higher in Ashfield at 97.5% compared to 88% in Butler.
- The Asian population is larger in Butler at 5% compared to 0% in Ashfield.
- The Hispanic community is larger in Butler at 3% compared to 1.5% in Ashfield.
- More residents identify as two or more races in Butler at 2% compared to 1% in Ashfield.
- The percentage of American Indian residents is the same in both Butler and Ashfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Ashfield |
|---|---|---|
| Mental Health Not Good | Data is updating% | Data is updating% |
| Physical Health Not Good | Data is updating% | Data is updating% |
| Depression | Data is updating% | Data is updating% |
| Smoking | Data is updating% | Data is updating% |
| Binge Drinking | Data is updating% | Data is updating% |
| Obesity | Data is updating% | Data is updating% |
| Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Butler vs Ashfield
- Poor mental health levels are equal in both Butler and Ashfield at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Butler and Ashfield at 0.0%.
- Binge drinking rates are similar in both Butler and Ashfield at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Butler and Ashfield at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Ashfield |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Butler vs Ashfield
- The percentage of residents with no formal schooling is the same in both Butler and Ashfield at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Butler and Ashfield at 0.0%.
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.