Demographics details for Columbia, SC vs Trimble, TN
Population Overview
Compare main population characteristics in Columbia, SC vs Trimble, TN.
| Data | Columbia | Trimble |
|---|---|---|
| Population | 139,698 | 537 |
| Median Age | 28.3 years | 39.2 years |
| Median Income | $54,095 | $50,625 |
| Married Families | 25.0% | 31.0% |
| Poverty Level | 17% | 12% |
| Unemployment Rate | 5.8 | 4.1 |
Population Comparison: Columbia vs Trimble
- In Columbia, the population is higher at 139,698, compared to 537 in Trimble.
- The median age in Trimble is higher at 39.2 years, compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095 compared to $50,625 in Trimble.
- In Trimble, the percentage of married families is higher at 31.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 12% in Trimble.
- The unemployment rate in Columbia is higher at 5.8%, compared to 4.1% in Trimble.
Demographics
Demographics Columbia vs Trimble provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Trimble |
|---|---|---|
| Black | 40 | 3 |
| White | 48 | 87 |
| Asian | 2 | 1 |
| Hispanic | 5 | Data is updating |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Trimble
- A higher percentage of Black residents are in Columbia at 40% compared to 3% in Trimble.
- The percentage of White residents is higher in Trimble at 87% compared to 48% in Columbia.
- The Asian population is larger in Columbia at 2% compared to 1% in Trimble.
- The Hispanic community is larger in Columbia at 5% compared to 0% in Trimble.
- The percentage of residents identifying as two or more races is higher in Trimble at 9%, compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Trimble at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Trimble |
|---|---|---|
| Mental Health Not Good | 18.6% | 20.5% |
| Physical Health Not Good | 13.1% | 14.1% |
| Depression | 20.8% | 29.9% |
| Smoking | 19.1% | 23.9% |
| Binge Drinking | 18.1% | 15.7% |
| Obesity | 39.0% | 33.5% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Columbia vs Trimble
- In Trimble, a higher percentage report poor mental health at 20.5% compared to 18.6% in Columbia.
- Higher depression rates are seen in Trimble at 29.9% versus 20.8% in Columbia.
- Trimble has a higher smoking rate at 23.9% compared to 19.1% in Columbia.
- Binge drinking is more common in Columbia at 18.1% compared to 15.7% in Trimble.
- Obesity rates are higher in Columbia at 39.0% compared to 33.5% in Trimble.
- There is a higher percentage of disabled individuals in Trimble at 14.0% 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 | Trimble |
|---|---|---|
| No Schooling | 0.4% (555) | 0.0% (Data is updating) |
| High School Diploma | 8.4% (11,712) | 23.6% (127) |
| Less than High School | 5.9% (8,257) | 21.2% (114) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 6.3% (34) |
Education Levels Comparison: Columbia vs Trimble
- A higher percentage of residents in Columbia have no formal schooling at 0.4% compared to 0.0% in Trimble.
- In Trimble, the rate of residents with high school diplomas is higher at 23.6% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Trimble at 21.2%, 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 6.3% in Trimble.
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.