Demographics details for Columbia, SC vs Cambridge, MD
Population Overview
Compare main population characteristics in Columbia, SC vs Cambridge, MD.
| Data | Columbia | Cambridge |
|---|---|---|
| Population | 139,698 | 13,129 |
| Median Age | 28.3 years | 37.3 years |
| Median Income | $54,095 | $44,114 |
| Married Families | 25.0% | 27.0% |
| Poverty Level | 17% | 11% |
| Unemployment Rate | 5.8 | 5.2 |
Population Comparison: Columbia vs Cambridge
- In Columbia, the population is higher at 139,698, compared to 13,129 in Cambridge.
- The median age in Cambridge is higher at 37.3 years, compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095 compared to $44,114 in Cambridge.
- In Cambridge, the percentage of married families is higher at 27.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 11% in Cambridge.
- The unemployment rate in Columbia is higher at 5.8%, compared to 5.2% in Cambridge.
Demographics
Demographics Columbia vs Cambridge provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Cambridge |
|---|---|---|
| Black | 40 | 44 |
| White | 48 | 35 |
| Asian | 2 | 2 |
| Hispanic | 5 | 8 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Cambridge
- In Cambridge, the percentage of Black residents is higher at 44% compared to 40% in Columbia.
- Columbia has a higher percentage of White residents at 48% compared to 35% in Cambridge.
- Both Columbia and Cambridge have the same percentage of Asian residents at 2%.
- Cambridge has a higher percentage of Hispanic residents at 8%, compared to 5% in Columbia.
- The percentage of residents identifying as two or more races is higher in Cambridge at 11%, compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Cambridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Cambridge |
|---|---|---|
| Mental Health Not Good | 18.6% | 18.2% |
| Physical Health Not Good | 13.1% | 13.2% |
| Depression | 20.8% | 20.3% |
| Smoking | 19.1% | 20.9% |
| Binge Drinking | 18.1% | 12.6% |
| Obesity | 39.0% | 42.2% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Columbia vs Cambridge
- More residents in Columbia report poor mental health at 18.6% compared to 18.2% in Cambridge.
- Depression is more prevalent in Columbia at 20.8% compared to 20.3% in Cambridge.
- Cambridge has a higher smoking rate at 20.9% compared to 19.1% in Columbia.
- Binge drinking is more common in Columbia at 18.1% compared to 12.6% in Cambridge.
- Cambridge has higher obesity rates at 42.2% compared to 39.0% in Columbia.
- There is a higher percentage of disabled individuals in Cambridge at 18.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Cambridge |
|---|---|---|
| No Schooling | 0.4% (555) | 0.9% (120) |
| High School Diploma | 8.4% (11,712) | 22.1% (2,903) |
| Less than High School | 5.9% (8,257) | 11.2% (1,477) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 13.6% (1,783) |
Education Levels Comparison: Columbia vs Cambridge
- In Cambridge, a larger percentage of residents lack formal schooling at 0.9% compared to 0.4% in Columbia.
- In Cambridge, the rate of residents with high school diplomas is higher at 22.1% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Cambridge at 11.2%, 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 13.6% in Cambridge.
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.