Demographics details for Hopkins, SC vs Columbus, IN
Population Overview
Compare main population characteristics in Hopkins, SC vs Columbus, IN.
| Data | Hopkins | Columbus |
|---|---|---|
| Population | 1,738 | 51,268 |
| Median Age | 53.9 years | 35.8 years |
| Median Income | $57,262 | $75,114 |
| Married Families | 25.0% | 41.0% |
| Poverty Level | Data is updating | 9% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Hopkins vs Columbus
- The population in Columbus is higher at 51,268, compared to 1,738 in Hopkins.
- Residents in Hopkins have a higher median age of 53.9 years compared to 35.8 years in Columbus.
- Columbus has a higher median income of $75,114, compared to $57,262 in Hopkins.
- In Columbus, the percentage of married families is higher at 41.0%, compared to 25.0% in Hopkins.
- The poverty level is higher in Columbus at 9%, compared to 0% in Hopkins.
- Columbus has a higher unemployment rate at 4.0% compared to 3.5% in Hopkins.
Demographics
Demographics Hopkins vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Hopkins | Columbus |
|---|---|---|
| Black | 83 | 2 |
| White | 16 | 71 |
| Asian | Data is updating | 13 |
| Hispanic | Data is updating | 9 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hopkins vs Columbus
- A higher percentage of Black residents are in Hopkins at 83% compared to 2% in Columbus.
- The percentage of White residents is higher in Columbus at 71% compared to 16% in Hopkins.
- In Columbus, the Asian population stands at 13%, greater than 0% in Hopkins.
- Columbus has a higher percentage of Hispanic residents at 9%, compared to 0% in Hopkins.
- The percentage of residents identifying as two or more races is higher in Columbus at 5%, compared to 1% in Hopkins.
- The percentage of American Indian residents is the same in both Hopkins and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hopkins | Columbus |
|---|---|---|
| Mental Health Not Good | 19.5% | 15.6% |
| Physical Health Not Good | 13.9% | 10.3% |
| Depression | 18.8% | 24.1% |
| Smoking | 21.3% | 16.3% |
| Binge Drinking | 16.0% | 16.3% |
| Obesity | 44.2% | 36.7% |
| Disability Percentage | 34.0% | 13.0% |
Health Statistics Comparison: Hopkins vs Columbus
- More residents in Hopkins report poor mental health at 19.5% compared to 15.6% in Columbus.
- Higher depression rates are seen in Columbus at 24.1% versus 18.8% in Hopkins.
- Smoking is more prevalent in Hopkins at 21.3% compared to 16.3% in Columbus.
- More residents engage in binge drinking in Columbus at 16.3% compared to 16.0% in Hopkins.
- Obesity rates are higher in Hopkins at 44.2% compared to 36.7% in Columbus.
- Disability percentages are higher in Hopkins at 34.0% compared to 13.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hopkins | Columbus |
|---|---|---|
| No Schooling | 0.1% (2) | 0.8% (398) |
| High School Diploma | 20.8% (362) | 14.3% (7,340) |
| Less than High School | 11.3% (197) | 9.1% (4,677) |
| Bachelor's Degree and Higher | 16.2% (281) | 28.1% (14,382) |
Education Levels Comparison: Hopkins vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 0.8% compared to 0.1% in Hopkins.
- A higher percentage of residents in Hopkins hold a high school diploma at 20.8% compared to 14.3% in Columbus.
- More residents in Hopkins have less than a high school education at 11.3% compared to 9.1% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 28.1% compared to 16.2% in Hopkins.
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.