Demographics details for Columbia, SC vs Canton, MA
Population Overview
Compare main population characteristics in Columbia, SC vs Canton, MA.
| Data | Columbia | Canton |
|---|---|---|
| Population | 139,698 | 23,629 |
| Median Age | 28.3 years | 39.0 years |
| Median Income | $54,095 | $120,000 |
| Married Families | 25.0% | 69.6% |
| Poverty Level | 17% | 4% |
| Unemployment Rate | 5.8 | 3.9 |
Population Comparison: Columbia vs Canton
- In Columbia, the population is higher at 139,698, compared to 23,629 in Canton.
- The median age in Canton is higher at 39.0 years, compared to 28.3 years in Columbia.
- Canton has a higher median income of $120,000, compared to $54,095 in Columbia.
- In Canton, the percentage of married families is higher at 69.6%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 4% in Canton.
- The unemployment rate in Columbia is higher at 5.8%, compared to 3.9% in Canton.
Demographics
Demographics Columbia vs Canton provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Canton |
|---|---|---|
| Black | 40 | 1.2 |
| White | 48 | 85.3 |
| Asian | 2 | 11.5 |
| Hispanic | 5 | 2.0 |
| Two or More Races | 5 | 4.5 |
| American Indian | Data is updating | 0.2 |
Demographics Comparison: Columbia vs Canton
- A higher percentage of Black residents are in Columbia at 40% compared to 1.2% in Canton.
- The percentage of White residents is higher in Canton at 85.3% compared to 48% in Columbia.
- In Canton, the Asian population stands at 11.5%, greater than 2% in Columbia.
- The Hispanic community is larger in Columbia at 5% compared to 2.0% in Canton.
- More residents identify as two or more races in Columbia at 5% compared to 4.5% in Canton.
- In Canton, the percentage of American Indian residents is higher at 0.2%, compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Canton |
|---|---|---|
| Mental Health Not Good | 18.6% | Data is updating% |
| Physical Health Not Good | 13.1% | Data is updating% |
| Depression | 20.8% | Data is updating% |
| Smoking | 19.1% | Data is updating% |
| Binge Drinking | 18.1% | Data is updating% |
| Obesity | 39.0% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Columbia vs Canton
- More residents in Columbia report poor mental health at 18.6% compared to 0.0% in Canton.
- Depression is more prevalent in Columbia at 20.8% compared to 0.0% in Canton.
- Smoking is more prevalent in Columbia at 19.1% compared to 0.0% in Canton.
- Binge drinking is more common in Columbia at 18.1% compared to 0.0% in Canton.
- Obesity rates are higher in Columbia at 39.0% compared to 0.0% in Canton.
- Disability percentages are higher in Columbia at 11.0% compared to 0.0% in Canton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Canton |
|---|---|---|
| No Schooling | 0.4% (555) | 0.0% (Data is updating) |
| High School Diploma | 8.4% (11,712) | 0.0% (Data is updating) |
| Less than High School | 5.9% (8,257) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 0.0% (Data is updating) |
Education Levels Comparison: Columbia vs Canton
- A higher percentage of residents in Columbia have no formal schooling at 0.4% compared to 0.0% in Canton.
- A higher percentage of residents in Columbia hold a high school diploma at 8.4% compared to 0.0% in Canton.
- More residents in Columbia have less than a high school education at 5.9% compared to 0.0% in Canton.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 24.7% compared to 0.0% in Canton.
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.