Demographics details for West columbia, SC vs Mentor, MN
Population Overview
Compare main population characteristics in West columbia, SC vs Mentor, MN.
Data | West columbia | Mentor |
---|---|---|
Population | 17,618 | 105 |
Median Age | 37.3 years | 52.5 years |
Median Income | $52,648 | $39,583 |
Married Families | 32.0% | 54.0% |
Poverty Level | 9% | Data is updating |
Unemployment Rate | 3.7 | 2.5 |
Population Comparison: West columbia vs Mentor
- In West columbia, the population is higher at 17,618, compared to 105 in Mentor.
- The median age in Mentor is higher at 52.5 years, compared to 37.3 years in West columbia.
- West columbia has a higher median income of $52,648 compared to $39,583 in Mentor.
- In Mentor, the percentage of married families is higher at 54.0%, compared to 32.0% in West columbia.
- West columbia has a higher poverty level at 9% compared to 0% in Mentor.
- The unemployment rate in West columbia is higher at 3.7%, compared to 2.5% in Mentor.
Demographics
Demographics West columbia vs Mentor provide insight into the diversity of the communities to compare.
Demographic | West columbia | Mentor |
---|---|---|
Black | 18 | Data is updating |
White | 59 | 100 |
Asian | 3 | Data is updating |
Hispanic | 11 | Data is updating |
Two or More Races | 9 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: West columbia vs Mentor
- A higher percentage of Black residents are in West columbia at 18% compared to 0% in Mentor.
- The percentage of White residents is higher in Mentor at 100% compared to 59% in West columbia.
- The Asian population is larger in West columbia at 3% compared to 0% in Mentor.
- The Hispanic community is larger in West columbia at 11% compared to 0% in Mentor.
- More residents identify as two or more races in West columbia at 9% compared to 0% in Mentor.
- The percentage of American Indian residents is the same in both West columbia and Mentor at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | West columbia | Mentor |
---|---|---|
Mental Health Not Good | 18.8% | 15.5% |
Physical Health Not Good | 12.6% | 9.9% |
Depression | 23.3% | 24.4% |
Smoking | 19.0% | 19.6% |
Binge Drinking | 16.6% | 21.8% |
Obesity | 40.2% | 39.7% |
Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: West columbia vs Mentor
- More residents in West columbia report poor mental health at 18.8% compared to 15.5% in Mentor.
- Higher depression rates are seen in Mentor at 24.4% versus 23.3% in West columbia.
- Mentor has a higher smoking rate at 19.6% compared to 19.0% in West columbia.
- More residents engage in binge drinking in Mentor at 21.8% compared to 16.6% in West columbia.
- Obesity rates are higher in West columbia at 40.2% compared to 39.7% in Mentor.
- There is a higher percentage of disabled individuals in Mentor at 19.0% compared to 15.0% in West columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | West columbia | Mentor |
---|---|---|
No Schooling | 0.4% (77) | 0.0% (Data is updating) |
High School Diploma | 16.4% (2,891) | 43.8% (46) |
Less than High School | 12.4% (2,185) | 30.5% (32) |
Bachelor's Degree and Higher | 26.1% (4,593) | 6.7% (7) |
Education Levels Comparison: West columbia vs Mentor
- A higher percentage of residents in West columbia have no formal schooling at 0.4% compared to 0.0% in Mentor.
- In Mentor, the rate of residents with high school diplomas is higher at 43.8% compared to 16.4% in West columbia.
- The percentage of residents with less than a high school education is higher in Mentor at 30.5%, compared to 12.4% in West columbia.
- A higher percentage of residents in West columbia hold a bachelor's degree or higher at 26.1% compared to 6.7% in Mentor.
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.