Demographics details for Columbia, SC vs College park, MD
Population Overview
Compare main population characteristics in Columbia, SC vs College park, MD.
| Data | Columbia | College park |
|---|---|---|
| Population | 139,698 | 34,190 |
| Median Age | 28.3 years | 21.6 years |
| Median Income | $54,095 | $76,973 |
| Married Families | 25.0% | 17.0% |
| Poverty Level | 17% | 10% |
| Unemployment Rate | 5.8 | 5.5 |
Population Comparison: Columbia vs College park
- In Columbia, the population is higher at 139,698, compared to 34,190 in College park.
- Residents in Columbia have a higher median age of 28.3 years compared to 21.6 years in College park.
- College park has a higher median income of $76,973, compared to $54,095 in Columbia.
- A higher percentage of married families is found in Columbia at 25.0% compared to 17.0% in College park.
- Columbia has a higher poverty level at 17% compared to 10% in College park.
- The unemployment rate in Columbia is higher at 5.8%, compared to 5.5% in College park.
Demographics
Demographics Columbia vs College park provide insight into the diversity of the communities to compare.
| Demographic | Columbia | College park |
|---|---|---|
| Black | 40 | 23 |
| White | 48 | 39 |
| Asian | 2 | 14 |
| Hispanic | 5 | 17 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs College park
- A higher percentage of Black residents are in Columbia at 40% compared to 23% in College park.
- Columbia has a higher percentage of White residents at 48% compared to 39% in College park.
- In College park, the Asian population stands at 14%, greater than 2% in Columbia.
- College park has a higher percentage of Hispanic residents at 17%, compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in College park at 7%, compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and College park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | College park |
|---|---|---|
| Mental Health Not Good | 18.6% | 14.8% |
| Physical Health Not Good | 13.1% | 10.0% |
| Depression | 20.8% | 15.4% |
| Smoking | 19.1% | 12.4% |
| Binge Drinking | 18.1% | 12.8% |
| Obesity | 39.0% | 36.4% |
| Disability Percentage | 11.0% | 5.0% |
Health Statistics Comparison: Columbia vs College park
- More residents in Columbia report poor mental health at 18.6% compared to 14.8% in College park.
- Depression is more prevalent in Columbia at 20.8% compared to 15.4% in College park.
- Smoking is more prevalent in Columbia at 19.1% compared to 12.4% in College park.
- Binge drinking is more common in Columbia at 18.1% compared to 12.8% in College park.
- Obesity rates are higher in Columbia at 39.0% compared to 36.4% in College park.
- Disability percentages are higher in Columbia at 11.0% compared to 5.0% in College park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | College park |
|---|---|---|
| No Schooling | 0.4% (555) | 1.9% (657) |
| High School Diploma | 8.4% (11,712) | 6.4% (2,199) |
| Less than High School | 5.9% (8,257) | 9.4% (3,210) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 19.8% (6,769) |
Education Levels Comparison: Columbia vs College park
- In College park, a larger percentage of residents lack formal schooling at 1.9% compared to 0.4% in Columbia.
- A higher percentage of residents in Columbia hold a high school diploma at 8.4% compared to 6.4% in College park.
- The percentage of residents with less than a high school education is higher in College park at 9.4%, compared to 5.9% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 24.7% compared to 19.8% in College park.
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.