Demographics details for Belle fourche, SD vs Clinton, SC
Population Overview
Compare main population characteristics in Belle fourche, SD vs Clinton, SC.
| Data | Belle fourche | Clinton |
|---|---|---|
| Population | 5,848 | 7,554 |
| Median Age | 36.0 years | 35.4 years |
| Median Income | $55,448 | $38,350 |
| Married Families | 38.0% | 19.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Belle fourche vs Clinton
- The population in Clinton is higher at 7,554, compared to 5,848 in Belle fourche.
- Residents in Belle fourche have a higher median age of 36.0 years compared to 35.4 years in Clinton.
- Belle fourche has a higher median income of $55,448 compared to $38,350 in Clinton.
- A higher percentage of married families is found in Belle fourche at 38.0% compared to 19.0% in Clinton.
- The poverty level is higher in Clinton at 18%, compared to 12% in Belle fourche.
- Clinton has a higher unemployment rate at 4.5% compared to 2.5% in Belle fourche.
Demographics
Demographics Belle fourche vs Clinton provide insight into the diversity of the communities to compare.
| Demographic | Belle fourche | Clinton |
|---|---|---|
| Black | Data is updating | 38 |
| White | 85 | 55 |
| Asian | 1 | 2 |
| Hispanic | 6 | 1 |
| Two or More Races | 7 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Belle fourche vs Clinton
- In Clinton, the percentage of Black residents is higher at 38% compared to 0% in Belle fourche.
- Belle fourche has a higher percentage of White residents at 85% compared to 55% in Clinton.
- In Clinton, the Asian population stands at 2%, greater than 1% in Belle fourche.
- The Hispanic community is larger in Belle fourche at 6% compared to 1% in Clinton.
- More residents identify as two or more races in Belle fourche at 7% compared to 4% in Clinton.
- A greater percentage of American Indian residents live in Belle fourche at 1% compared to 0% in Clinton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Belle fourche | Clinton |
|---|---|---|
| Mental Health Not Good | 14.5% | 19.1% |
| Physical Health Not Good | 10.3% | 14.0% |
| Depression | 19.1% | 23.7% |
| Smoking | 19.4% | 22.0% |
| Binge Drinking | 19.5% | 15.8% |
| Obesity | 37.7% | 44.9% |
| Disability Percentage | 15.0% | 17.0% |
Health Statistics Comparison: Belle fourche vs Clinton
- In Clinton, a higher percentage report poor mental health at 19.1% compared to 14.5% in Belle fourche.
- Higher depression rates are seen in Clinton at 23.7% versus 19.1% in Belle fourche.
- Clinton has a higher smoking rate at 22.0% compared to 19.4% in Belle fourche.
- Binge drinking is more common in Belle fourche at 19.5% compared to 15.8% in Clinton.
- Clinton has higher obesity rates at 44.9% compared to 37.7% in Belle fourche.
- There is a higher percentage of disabled individuals in Clinton at 17.0% compared to 15.0% in Belle fourche.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Belle fourche | Clinton |
|---|---|---|
| No Schooling | 1.3% (78) | 1.0% (74) |
| High School Diploma | 18.5% (1,082) | 19.3% (1,460) |
| Less than High School | 18.5% (1,081) | 15.6% (1,177) |
| Bachelor's Degree and Higher | 9.4% (550) | 17.3% (1,310) |
Education Levels Comparison: Belle fourche vs Clinton
- A higher percentage of residents in Belle fourche have no formal schooling at 1.3% compared to 1.0% in Clinton.
- In Clinton, the rate of residents with high school diplomas is higher at 19.3% compared to 18.5% in Belle fourche.
- More residents in Belle fourche have less than a high school education at 18.5% compared to 15.6% in Clinton.
- In Clinton, a larger share of residents have a bachelor's degree or higher at 17.3% compared to 9.4% in Belle fourche.
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.