Demographics details for Bruce, SD vs Charleston, SC
Population Overview
Compare main population characteristics in Bruce, SD vs Charleston, SC.
| Data | Bruce | Charleston |
|---|---|---|
| Population | 215 | 153,672 |
| Median Age | 38.3 years | 36.3 years |
| Median Income | $50,833 | $83,891 |
| Married Families | 49.0% | 37.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.2 | 3.8 |
Population Comparison: Bruce vs Charleston
- The population in Charleston is higher at 153,672, compared to 215 in Bruce.
- Residents in Bruce have a higher median age of 38.3 years compared to 36.3 years in Charleston.
- Charleston has a higher median income of $83,891, compared to $50,833 in Bruce.
- A higher percentage of married families is found in Bruce at 49.0% compared to 37.0% in Charleston.
- The poverty level is higher in Charleston at 12%, compared to 5% in Bruce.
- Charleston has a higher unemployment rate at 3.8% compared to 3.2% in Bruce.
Demographics
Demographics Bruce vs Charleston provide insight into the diversity of the communities to compare.
| Demographic | Bruce | Charleston |
|---|---|---|
| Black | Data is updating | 18 |
| White | 85 | 71 |
| Asian | Data is updating | 2 |
| Hispanic | 13 | 5 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bruce vs Charleston
- In Charleston, the percentage of Black residents is higher at 18% compared to 0% in Bruce.
- Bruce has a higher percentage of White residents at 85% compared to 71% in Charleston.
- In Charleston, the Asian population stands at 2%, greater than 0% in Bruce.
- The Hispanic community is larger in Bruce at 13% compared to 5% in Charleston.
- The percentage of residents identifying as two or more races is higher in Charleston at 4%, compared to 2% in Bruce.
- The percentage of American Indian residents is the same in both Bruce and Charleston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bruce | Charleston |
|---|---|---|
| Mental Health Not Good | 11.2% | 15.6% |
| Physical Health Not Good | 7.2% | 9.4% |
| Depression | 17.4% | 19.6% |
| Smoking | 12.4% | 13.0% |
| Binge Drinking | 22.9% | 23.0% |
| Obesity | 31.6% | 31.8% |
| Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Bruce vs Charleston
- In Charleston, a higher percentage report poor mental health at 15.6% compared to 11.2% in Bruce.
- Higher depression rates are seen in Charleston at 19.6% versus 17.4% in Bruce.
- Charleston has a higher smoking rate at 13.0% compared to 12.4% in Bruce.
- More residents engage in binge drinking in Charleston at 23.0% compared to 22.9% in Bruce.
- Charleston has higher obesity rates at 31.8% compared to 31.6% in Bruce.
- Disability percentages are higher in Bruce at 10.0% compared to 9.0% in Charleston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bruce | Charleston |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (646) |
| High School Diploma | 35.3% (76) | 9.1% (13,959) |
| Less than High School | 17.7% (38) | 4.3% (6,655) |
| Bachelor's Degree and Higher | 21.4% (46) | 39.9% (61,263) |
Education Levels Comparison: Bruce vs Charleston
- In Charleston, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Bruce.
- A higher percentage of residents in Bruce hold a high school diploma at 35.3% compared to 9.1% in Charleston.
- More residents in Bruce have less than a high school education at 17.7% compared to 4.3% in Charleston.
- In Charleston, a larger share of residents have a bachelor's degree or higher at 39.9% compared to 21.4% in Bruce.
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.