Demographics details for Fall river, MA vs Butler, MO
Population Overview
Compare main population characteristics in Fall river, MA vs Butler, MO.
| Data | Fall river | Butler |
|---|---|---|
| Population | 93,682 | 4,246 |
| Median Age | 39.2 years | 36.7 years |
| Median Income | $52,734 | $33,548 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 16% | 14% |
| Unemployment Rate | 5.6 | 4.3 |
Population Comparison: Fall river vs Butler
- In Fall river, the population is higher at 93,682, compared to 4,246 in Butler.
- Residents in Fall river have a higher median age of 39.2 years compared to 36.7 years in Butler.
- Fall river has a higher median income of $52,734 compared to $33,548 in Butler.
- In Butler, the percentage of married families is higher at 35.0%, compared to 32.0% in Fall river.
- Fall river has a higher poverty level at 16% compared to 14% in Butler.
- The unemployment rate in Fall river is higher at 5.6%, compared to 4.3% in Butler.
Demographics
Demographics Fall river vs Butler provide insight into the diversity of the communities to compare.
| Demographic | Fall river | Butler |
|---|---|---|
| Black | 6 | 6 |
| White | 68 | 89 |
| Asian | 3 | 1 |
| Hispanic | 12 | 1 |
| Two or More Races | 11 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fall river vs Butler
- The percentage of Black residents is the same in both Fall river and Butler at 6%.
- The percentage of White residents is higher in Butler at 89% compared to 68% in Fall river.
- The Asian population is larger in Fall river at 3% compared to 1% in Butler.
- The Hispanic community is larger in Fall river at 12% compared to 1% in Butler.
- More residents identify as two or more races in Fall river at 11% compared to 3% in Butler.
- The percentage of American Indian residents is the same in both Fall river and Butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fall river | Butler |
|---|---|---|
| Mental Health Not Good | 19.7% | 20.0% |
| Physical Health Not Good | 13.3% | 15.0% |
| Depression | 25.0% | 27.0% |
| Smoking | 23.0% | 26.2% |
| Binge Drinking | 16.7% | 16.4% |
| Obesity | 32.8% | 42.8% |
| Disability Percentage | 20.0% | 21.0% |
Health Statistics Comparison: Fall river vs Butler
- In Butler, a higher percentage report poor mental health at 20.0% compared to 19.7% in Fall river.
- Higher depression rates are seen in Butler at 27.0% versus 25.0% in Fall river.
- Butler has a higher smoking rate at 26.2% compared to 23.0% in Fall river.
- Binge drinking is more common in Fall river at 16.7% compared to 16.4% in Butler.
- Butler has higher obesity rates at 42.8% compared to 32.8% in Fall river.
- There is a higher percentage of disabled individuals in Butler at 21.0% compared to 20.0% in Fall river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fall river | Butler |
|---|---|---|
| No Schooling | 2.5% (2,365) | 0.7% (31) |
| High School Diploma | 19.4% (18,187) | 37.8% (1,605) |
| Less than High School | 32.4% (30,324) | 11.9% (505) |
| Bachelor's Degree and Higher | 11.3% (10,601) | 7.8% (330) |
Education Levels Comparison: Fall river vs Butler
- A higher percentage of residents in Fall river have no formal schooling at 2.5% compared to 0.7% in Butler.
- In Butler, the rate of residents with high school diplomas is higher at 37.8% compared to 19.4% in Fall river.
- More residents in Fall river have less than a high school education at 32.4% compared to 11.9% in Butler.
- A higher percentage of residents in Fall river hold a bachelor's degree or higher at 11.3% compared to 7.8% 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.