Demographics details for Butler, WI vs Wabash, IN
Population Overview
Compare main population characteristics in Butler, WI vs Wabash, IN.
| Data | Butler | Wabash |
|---|---|---|
| Population | 1,811 | 10,347 |
| Median Age | 38.0 years | 41.0 years |
| Median Income | $65,000 | $51,127 |
| Married Families | 52.0% | 39.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Butler vs Wabash
- The population in Wabash is higher at 10,347, compared to 1,811 in Butler.
- The median age in Wabash is higher at 41.0 years, compared to 38.0 years in Butler.
- Butler has a higher median income of $65,000 compared to $51,127 in Wabash.
- A higher percentage of married families is found in Butler at 52.0% compared to 39.0% in Wabash.
- The poverty level is higher in Wabash at 11%, compared to 5% in Butler.
- The unemployment rate is the same in both Butler and Wabash at 3.5%.
Demographics
Demographics Butler vs Wabash provide insight into the diversity of the communities to compare.
| Demographic | Butler | Wabash |
|---|---|---|
| Black | 2 | Data is updating |
| White | 88 | 94 |
| Asian | 5 | Data is updating |
| Hispanic | 3 | 4 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Wabash
- A higher percentage of Black residents are in Butler at 2% compared to 0% in Wabash.
- The percentage of White residents is higher in Wabash at 94% compared to 88% in Butler.
- The Asian population is larger in Butler at 5% compared to 0% in Wabash.
- Wabash has a higher percentage of Hispanic residents at 4%, compared to 3% in Butler.
- Both Butler and Wabash have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Butler and Wabash at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Wabash |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.4% |
| Physical Health Not Good | Data is updating% | 12.7% |
| Depression | Data is updating% | 27.2% |
| Smoking | Data is updating% | 22.5% |
| Binge Drinking | Data is updating% | 16.7% |
| Obesity | Data is updating% | 40.4% |
| Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Butler vs Wabash
- In Wabash, a higher percentage report poor mental health at 18.4% compared to 0.0% in Butler.
- Higher depression rates are seen in Wabash at 27.2% versus 0.0% in Butler.
- Wabash has a higher smoking rate at 22.5% compared to 0.0% in Butler.
- More residents engage in binge drinking in Wabash at 16.7% compared to 0.0% in Butler.
- Wabash has higher obesity rates at 40.4% compared to 0.0% in Butler.
- There is a higher percentage of disabled individuals in Wabash at 19.0% compared to 0.0% in Butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Wabash |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (95) |
| High School Diploma | 0.0% (Data is updating) | 25.5% (2,642) |
| Less than High School | 0.0% (Data is updating) | 14.2% (1,468) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 15.6% (1,618) |
Education Levels Comparison: Butler vs Wabash
- In Wabash, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Butler.
- In Wabash, the rate of residents with high school diplomas is higher at 25.5% compared to 0.0% in Butler.
- The percentage of residents with less than a high school education is higher in Wabash at 14.2%, compared to 0.0% in Butler.
- In Wabash, a larger share of residents have a bachelor's degree or higher at 15.6% compared to 0.0% 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.