Demographics details for Clinton, SC vs South bend, IN
Population Overview
Compare main population characteristics in Clinton, SC vs South bend, IN.
| Data | Clinton | South bend |
|---|---|---|
| Population | 7,554 | 103,110 |
| Median Age | 35.4 years | 33.4 years |
| Median Income | $38,350 | $49,056 |
| Married Families | 19.0% | 28.0% |
| Poverty Level | 18% | 16% |
| Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Clinton vs South bend
- The population in South bend is higher at 103,110, compared to 7,554 in Clinton.
- Residents in Clinton have a higher median age of 35.4 years compared to 33.4 years in South bend.
- South bend has a higher median income of $49,056, compared to $38,350 in Clinton.
- In South bend, the percentage of married families is higher at 28.0%, compared to 19.0% in Clinton.
- Clinton has a higher poverty level at 18% compared to 16% in South bend.
- South bend has a higher unemployment rate at 5.2% compared to 4.5% in Clinton.
Demographics
Demographics Clinton vs South bend provide insight into the diversity of the communities to compare.
| Demographic | Clinton | South bend |
|---|---|---|
| Black | 38 | 25 |
| White | 55 | 47 |
| Asian | 2 | 2 |
| Hispanic | 1 | 16 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clinton vs South bend
- A higher percentage of Black residents are in Clinton at 38% compared to 25% in South bend.
- Clinton has a higher percentage of White residents at 55% compared to 47% in South bend.
- Both Clinton and South bend have the same percentage of Asian residents at 2%.
- South bend has a higher percentage of Hispanic residents at 16%, compared to 1% in Clinton.
- The percentage of residents identifying as two or more races is higher in South bend at 10%, compared to 4% in Clinton.
- The percentage of American Indian residents is the same in both Clinton and South bend at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clinton | South bend |
|---|---|---|
| Mental Health Not Good | 19.1% | 19.2% |
| Physical Health Not Good | 14.0% | 14.0% |
| Depression | 23.7% | 24.9% |
| Smoking | 22.0% | 22.4% |
| Binge Drinking | 15.8% | 14.6% |
| Obesity | 44.9% | 40.3% |
| Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Clinton vs South bend
- In South bend, a higher percentage report poor mental health at 19.2% compared to 19.1% in Clinton.
- Higher depression rates are seen in South bend at 24.9% versus 23.7% in Clinton.
- South bend has a higher smoking rate at 22.4% compared to 22.0% in Clinton.
- Binge drinking is more common in Clinton at 15.8% compared to 14.6% in South bend.
- Obesity rates are higher in Clinton at 44.9% compared to 40.3% in South bend.
- Disability percentages are higher in Clinton at 17.0% compared to 14.0% in South bend.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clinton | South bend |
|---|---|---|
| No Schooling | 1.0% (74) | 1.2% (1,199) |
| High School Diploma | 19.3% (1,460) | 14.9% (15,409) |
| Less than High School | 15.6% (1,177) | 13.0% (13,380) |
| Bachelor's Degree and Higher | 17.3% (1,310) | 18.2% (18,716) |
Education Levels Comparison: Clinton vs South bend
- In South bend, a larger percentage of residents lack formal schooling at 1.2% compared to 1.0% in Clinton.
- A higher percentage of residents in Clinton hold a high school diploma at 19.3% compared to 14.9% in South bend.
- More residents in Clinton have less than a high school education at 15.6% compared to 13.0% in South bend.
- In South bend, a larger share of residents have a bachelor's degree or higher at 18.2% compared to 17.3% in Clinton.
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.