Demographics details for Mount union, PA vs Canton, SD
Population Overview
Compare main population characteristics in Mount union, PA vs Canton, SD.
| Data | Mount union | Canton |
|---|---|---|
| Population | 2,267 | 3,065 |
| Median Age | 34.8 years | 43.6 years |
| Median Income | $38,382 | $71,064 |
| Married Families | 25.0% | 38.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Mount union vs Canton
- The population in Canton is higher at 3,065, compared to 2,267 in Mount union.
- The median age in Canton is higher at 43.6 years, compared to 34.8 years in Mount union.
- Canton has a higher median income of $71,064, compared to $38,382 in Mount union.
- In Canton, the percentage of married families is higher at 38.0%, compared to 25.0% in Mount union.
- Mount union has a higher poverty level at 12% compared to 9% in Canton.
- The unemployment rate in Mount union is higher at 4.2%, compared to 3.5% in Canton.
Demographics
Demographics Mount union vs Canton provide insight into the diversity of the communities to compare.
| Demographic | Mount union | Canton |
|---|---|---|
| Black | 8 | Data is updating |
| White | 87 | 93 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Mount union vs Canton
- A higher percentage of Black residents are in Mount union at 8% compared to 0% in Canton.
- The percentage of White residents is higher in Canton at 93% compared to 87% in Mount union.
- Both Mount union and Canton have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Mount union at 1% compared to 0% in Canton.
- The percentage of residents identifying as two or more races is higher in Canton at 5%, compared to 4% in Mount union.
- In Canton, the percentage of American Indian residents is higher at 2%, compared to 0% in Mount union.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount union | Canton |
|---|---|---|
| Mental Health Not Good | 20.7% | 13.1% |
| Physical Health Not Good | 15.3% | 9.7% |
| Depression | 25.6% | 18.0% |
| Smoking | 26.4% | 17.1% |
| Binge Drinking | 16.4% | 20.5% |
| Obesity | 43.0% | 37.2% |
| Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Mount union vs Canton
- More residents in Mount union report poor mental health at 20.7% compared to 13.1% in Canton.
- Depression is more prevalent in Mount union at 25.6% compared to 18.0% in Canton.
- Smoking is more prevalent in Mount union at 26.4% compared to 17.1% in Canton.
- More residents engage in binge drinking in Canton at 20.5% compared to 16.4% in Mount union.
- Obesity rates are higher in Mount union at 43.0% compared to 37.2% in Canton.
- Disability percentages are higher in Mount union at 20.0% compared to 12.0% in Canton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount union | Canton |
|---|---|---|
| No Schooling | 1.9% (43) | 0.8% (26) |
| High School Diploma | 28.5% (646) | 26.3% (806) |
| Less than High School | 16.3% (370) | 13.1% (401) |
| Bachelor's Degree and Higher | 6.3% (142) | 15.7% (480) |
Education Levels Comparison: Mount union vs Canton
- A higher percentage of residents in Mount union have no formal schooling at 1.9% compared to 0.8% in Canton.
- A higher percentage of residents in Mount union hold a high school diploma at 28.5% compared to 26.3% in Canton.
- More residents in Mount union have less than a high school education at 16.3% compared to 13.1% in Canton.
- In Canton, a larger share of residents have a bachelor's degree or higher at 15.7% compared to 6.3% in Mount union.
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.