Demographics details for Butler, PA vs South haven, MI
Population Overview
Compare main population characteristics in Butler, PA vs South haven, MI.
| Data | Butler | South haven |
|---|---|---|
| Population | 13,176 | 3,988 |
| Median Age | 38.2 years | 61.0 years |
| Median Income | $39,546 | $63,202 |
| Married Families | 26.0% | 50.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Butler vs South haven
- In Butler, the population is higher at 13,176, compared to 3,988 in South haven.
- The median age in South haven is higher at 61.0 years, compared to 38.2 years in Butler.
- South haven has a higher median income of $63,202, compared to $39,546 in Butler.
- In South haven, the percentage of married families is higher at 50.0%, compared to 26.0% in Butler.
- The poverty level is identical in both Butler and South haven at 12%.
- The unemployment rate in Butler is higher at 4.2%, compared to 3.5% in South haven.
Demographics
Demographics Butler vs South haven provide insight into the diversity of the communities to compare.
| Demographic | Butler | South haven |
|---|---|---|
| Black | 3 | 11 |
| White | 88 | 74 |
| Asian | 1 | 1 |
| Hispanic | 3 | 6 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Butler vs South haven
- In South haven, the percentage of Black residents is higher at 11% compared to 3% in Butler.
- Butler has a higher percentage of White residents at 88% compared to 74% in South haven.
- Both Butler and South haven have the same percentage of Asian residents at 1%.
- South haven has a higher percentage of Hispanic residents at 6%, compared to 3% in Butler.
- The percentage of residents identifying as two or more races is higher in South haven at 7%, compared to 5% in Butler.
- In South haven, the percentage of American Indian residents is higher at 1%, compared to 0% in Butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | South haven |
|---|---|---|
| Mental Health Not Good | 19.1% | 16.4% |
| Physical Health Not Good | 14.5% | 10.3% |
| Depression | 24.4% | 24.3% |
| Smoking | 24.6% | 16.4% |
| Binge Drinking | 17.4% | 18.0% |
| Obesity | 38.2% | 35.6% |
| Disability Percentage | 23.0% | 18.0% |
Health Statistics Comparison: Butler vs South haven
- More residents in Butler report poor mental health at 19.1% compared to 16.4% in South haven.
- Depression is more prevalent in Butler at 24.4% compared to 24.3% in South haven.
- Smoking is more prevalent in Butler at 24.6% compared to 16.4% in South haven.
- More residents engage in binge drinking in South haven at 18.0% compared to 17.4% in Butler.
- Obesity rates are higher in Butler at 38.2% compared to 35.6% in South haven.
- Disability percentages are higher in Butler at 23.0% compared to 18.0% in South haven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | South haven |
|---|---|---|
| No Schooling | 0.1% (14) | 1.2% (48) |
| High School Diploma | 23.6% (3,115) | 16.0% (638) |
| Less than High School | 9.3% (1,222) | 11.5% (457) |
| Bachelor's Degree and Higher | 15.6% (2,049) | 32.1% (1,279) |
Education Levels Comparison: Butler vs South haven
- In South haven, a larger percentage of residents lack formal schooling at 1.2% compared to 0.1% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 23.6% compared to 16.0% in South haven.
- The percentage of residents with less than a high school education is higher in South haven at 11.5%, compared to 9.3% in Butler.
- In South haven, a larger share of residents have a bachelor's degree or higher at 32.1% 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.