Demographics details for Canton, SD vs Mountain home, AR
Population Overview
Compare main population characteristics in Canton, SD vs Mountain home, AR.
| Data | Canton | Mountain home |
|---|---|---|
| Population | 3,065 | 13,150 |
| Median Age | 43.6 years | 41.8 years |
| Median Income | $71,064 | $42,281 |
| Married Families | 38.0% | 38.0% |
| Poverty Level | 9% | 14% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Canton vs Mountain home
- The population in Mountain home is higher at 13,150, compared to 3,065 in Canton.
- Residents in Canton have a higher median age of 43.6 years compared to 41.8 years in Mountain home.
- Canton has a higher median income of $71,064 compared to $42,281 in Mountain home.
- The percentage of married families is the same in both Canton and Mountain home at 38.0%.
- The poverty level is higher in Mountain home at 14%, compared to 9% in Canton.
- The unemployment rate is the same in both Canton and Mountain home at 3.5%.
Demographics
Demographics Canton vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Canton | Mountain home |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 93 | 90 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 4 |
| Two or More Races | 5 | 4 |
| American Indian | 2 | 1 |
Demographics Comparison: Canton vs Mountain home
- The percentage of Black residents is the same in both Canton and Mountain home at 0%.
- Canton has a higher percentage of White residents at 93% compared to 90% in Mountain home.
- In Mountain home, the Asian population stands at 1%, greater than 0% in Canton.
- Mountain home has a higher percentage of Hispanic residents at 4%, compared to 0% in Canton.
- More residents identify as two or more races in Canton at 5% compared to 4% in Mountain home.
- A greater percentage of American Indian residents live in Canton at 2% compared to 1% in Mountain home.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Canton | Mountain home |
|---|---|---|
| Mental Health Not Good | 13.1% | 19.2% |
| Physical Health Not Good | 9.7% | 12.9% |
| Depression | 18.0% | 28.5% |
| Smoking | 17.1% | 21.1% |
| Binge Drinking | 20.5% | 16.3% |
| Obesity | 37.2% | 34.3% |
| Disability Percentage | 12.0% | 22.0% |
Health Statistics Comparison: Canton vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 19.2% compared to 13.1% in Canton.
- Higher depression rates are seen in Mountain home at 28.5% versus 18.0% in Canton.
- Mountain home has a higher smoking rate at 21.1% compared to 17.1% in Canton.
- Binge drinking is more common in Canton at 20.5% compared to 16.3% in Mountain home.
- Obesity rates are higher in Canton at 37.2% compared to 34.3% in Mountain home.
- There is a higher percentage of disabled individuals in Mountain home at 22.0% 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 | Canton | Mountain home |
|---|---|---|
| No Schooling | 0.8% (26) | 0.7% (87) |
| High School Diploma | 26.3% (806) | 16.9% (2,225) |
| Less than High School | 13.1% (401) | 14.2% (1,870) |
| Bachelor's Degree and Higher | 15.7% (480) | 15.0% (1,973) |
Education Levels Comparison: Canton vs Mountain home
- A higher percentage of residents in Canton have no formal schooling at 0.8% compared to 0.7% in Mountain home.
- A higher percentage of residents in Canton hold a high school diploma at 26.3% compared to 16.9% in Mountain home.
- The percentage of residents with less than a high school education is higher in Mountain home at 14.2%, compared to 13.1% in Canton.
- A higher percentage of residents in Canton hold a bachelor's degree or higher at 15.7% compared to 15.0% in Mountain home.
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.