Demographics details for Clinton, SC vs Columbiana, OH
Population Overview
Compare main population characteristics in Clinton, SC vs Columbiana, OH.
| Data | Clinton | Columbiana |
|---|---|---|
| Population | 7,554 | 100,511 |
| Median Age | 35.4 years | 44.5 years |
| Median Income | $38,350 | $55,473 |
| Married Families | 19.0% | 40.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 4.5 | 5.8 |
Population Comparison: Clinton vs Columbiana
- The population in Columbiana is higher at 100,511, compared to 7,554 in Clinton.
- The median age in Columbiana is higher at 44.5 years, compared to 35.4 years in Clinton.
- Columbiana has a higher median income of $55,473, compared to $38,350 in Clinton.
- In Columbiana, the percentage of married families is higher at 40.0%, compared to 19.0% in Clinton.
- Clinton has a higher poverty level at 18% compared to 10% in Columbiana.
- Columbiana has a higher unemployment rate at 5.8% compared to 4.5% in Clinton.
Demographics
Demographics Clinton vs Columbiana provide insight into the diversity of the communities to compare.
| Demographic | Clinton | Columbiana |
|---|---|---|
| Black | 38 | 2 |
| White | 55 | 93 |
| Asian | 2 | Data is updating |
| Hispanic | 1 | 2 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clinton vs Columbiana
- A higher percentage of Black residents are in Clinton at 38% compared to 2% in Columbiana.
- The percentage of White residents is higher in Columbiana at 93% compared to 55% in Clinton.
- The Asian population is larger in Clinton at 2% compared to 0% in Columbiana.
- Columbiana has a higher percentage of Hispanic residents at 2%, compared to 1% in Clinton.
- More residents identify as two or more races in Clinton at 4% compared to 3% in Columbiana.
- The percentage of American Indian residents is the same in both Clinton and Columbiana at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clinton | Columbiana |
|---|---|---|
| Mental Health Not Good | 19.1% | 18.4% |
| Physical Health Not Good | 14.0% | 12.5% |
| Depression | 23.7% | 23.8% |
| Smoking | 22.0% | 22.5% |
| Binge Drinking | 15.8% | 17.6% |
| Obesity | 44.9% | 45.3% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Clinton vs Columbiana
- More residents in Clinton report poor mental health at 19.1% compared to 18.4% in Columbiana.
- Higher depression rates are seen in Columbiana at 23.8% versus 23.7% in Clinton.
- Columbiana has a higher smoking rate at 22.5% compared to 22.0% in Clinton.
- More residents engage in binge drinking in Columbiana at 17.6% compared to 15.8% in Clinton.
- Columbiana has higher obesity rates at 45.3% compared to 44.9% in Clinton.
- Disability percentages are the same in both Clinton and Columbiana at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clinton | Columbiana |
|---|---|---|
| No Schooling | 1.0% (74) | 1.0% (1,010) |
| High School Diploma | 19.3% (1,460) | 29.8% (29,903) |
| Less than High School | 15.6% (1,177) | 14.3% (14,400) |
| Bachelor's Degree and Higher | 17.3% (1,310) | 12.1% (12,129) |
Education Levels Comparison: Clinton vs Columbiana
- The percentage of residents with no formal schooling is the same in both Clinton and Columbiana at 1.0%.
- In Columbiana, the rate of residents with high school diplomas is higher at 29.8% compared to 19.3% in Clinton.
- More residents in Clinton have less than a high school education at 15.6% compared to 14.3% in Columbiana.
- A higher percentage of residents in Clinton hold a bachelor's degree or higher at 17.3% compared to 12.1% in Columbiana.
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.