Demographics details for Mount union, PA vs Canton, MS
Population Overview
Compare main population characteristics in Mount union, PA vs Canton, MS.
| Data | Mount union | Canton |
|---|---|---|
| Population | 2,267 | 10,744 |
| Median Age | 34.8 years | 35.6 years |
| Median Income | $38,382 | $33,411 |
| Married Families | 25.0% | 20.0% |
| Poverty Level | 12% | 19% |
| Unemployment Rate | 4.2 | 5.2 |
Population Comparison: Mount union vs Canton
- The population in Canton is higher at 10,744, compared to 2,267 in Mount union.
- The median age in Canton is higher at 35.6 years, compared to 34.8 years in Mount union.
- Mount union has a higher median income of $38,382 compared to $33,411 in Canton.
- A higher percentage of married families is found in Mount union at 25.0% compared to 20.0% in Canton.
- The poverty level is higher in Canton at 19%, compared to 12% in Mount union.
- Canton has a higher unemployment rate at 5.2% compared to 4.2% in Mount union.
Demographics
Demographics Mount union vs Canton provide insight into the diversity of the communities to compare.
| Demographic | Mount union | Canton |
|---|---|---|
| Black | 8 | 76 |
| White | 87 | 16 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 7 |
| Two or More Races | 4 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount union vs Canton
- In Canton, the percentage of Black residents is higher at 76% compared to 8% in Mount union.
- Mount union has a higher percentage of White residents at 87% compared to 16% in Canton.
- Both Mount union and Canton have the same percentage of Asian residents at 0%.
- Canton has a higher percentage of Hispanic residents at 7%, compared to 1% in Mount union.
- More residents identify as two or more races in Mount union at 4% compared to 1% in Canton.
- The percentage of American Indian residents is the same in both Mount union and Canton at 0%.
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% | 17.6% |
| Physical Health Not Good | 15.3% | 14.3% |
| Depression | 25.6% | 18.8% |
| Smoking | 26.4% | 21.7% |
| Binge Drinking | 16.4% | 12.6% |
| Obesity | 43.0% | 45.8% |
| 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 17.6% in Canton.
- Depression is more prevalent in Mount union at 25.6% compared to 18.8% in Canton.
- Smoking is more prevalent in Mount union at 26.4% compared to 21.7% in Canton.
- Binge drinking is more common in Mount union at 16.4% compared to 12.6% in Canton.
- Canton has higher obesity rates at 45.8% compared to 43.0% in Mount union.
- 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) | 1.0% (103) |
| High School Diploma | 28.5% (646) | 17.6% (1,891) |
| Less than High School | 16.3% (370) | 17.2% (1,853) |
| Bachelor's Degree and Higher | 6.3% (142) | 14.8% (1,587) |
Education Levels Comparison: Mount union vs Canton
- A higher percentage of residents in Mount union have no formal schooling at 1.9% compared to 1.0% in Canton.
- A higher percentage of residents in Mount union hold a high school diploma at 28.5% compared to 17.6% in Canton.
- The percentage of residents with less than a high school education is higher in Canton at 17.2%, compared to 16.3% in Mount union.
- In Canton, a larger share of residents have a bachelor's degree or higher at 14.8% 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.