Demographics details for Sterling, CT vs Sumter, SC
Population Overview
Compare main population characteristics in Sterling, CT vs Sumter, SC.
| Data | Sterling | Sumter |
|---|---|---|
| Population | 3,830 | 42,757 |
| Median Age | 42.0 years | 33.1 years |
| Median Income | $85,000 | $48,900 |
| Married Families | 80.0% | 34.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 2.9 | 6.0 |
Population Comparison: Sterling vs Sumter
- The population in Sumter is higher at 42,757, compared to 3,830 in Sterling.
- Residents in Sterling have a higher median age of 42.0 years compared to 33.1 years in Sumter.
- Sterling has a higher median income of $85,000 compared to $48,900 in Sumter.
- A higher percentage of married families is found in Sterling at 80.0% compared to 34.0% in Sumter.
- The poverty level is higher in Sumter at 15%, compared to 5% in Sterling.
- Sumter has a higher unemployment rate at 6.0% compared to 2.9% in Sterling.
Demographics
Demographics Sterling vs Sumter provide insight into the diversity of the communities to compare.
| Demographic | Sterling | Sumter |
|---|---|---|
| Black | 2 | 48 |
| White | 95 | 36 |
| Asian | 1 | 2 |
| Hispanic | 2 | 7 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sterling vs Sumter
- In Sumter, the percentage of Black residents is higher at 48% compared to 2% in Sterling.
- Sterling has a higher percentage of White residents at 95% compared to 36% in Sumter.
- In Sumter, the Asian population stands at 2%, greater than 1% in Sterling.
- Sumter has a higher percentage of Hispanic residents at 7%, compared to 2% in Sterling.
- The percentage of residents identifying as two or more races is higher in Sumter at 6%, compared to 0% in Sterling.
- In Sumter, the percentage of American Indian residents is higher at 1%, compared to 0% in Sterling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sterling | Sumter |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.7% |
| Physical Health Not Good | Data is updating% | 13.7% |
| Depression | Data is updating% | 20.9% |
| Smoking | Data is updating% | 21.7% |
| Binge Drinking | Data is updating% | 15.2% |
| Obesity | Data is updating% | 42.5% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Sterling vs Sumter
- In Sumter, a higher percentage report poor mental health at 18.7% compared to 0.0% in Sterling.
- Higher depression rates are seen in Sumter at 20.9% versus 0.0% in Sterling.
- Sumter has a higher smoking rate at 21.7% compared to 0.0% in Sterling.
- More residents engage in binge drinking in Sumter at 15.2% compared to 0.0% in Sterling.
- Sumter has higher obesity rates at 42.5% compared to 0.0% in Sterling.
- There is a higher percentage of disabled individuals in Sumter at 15.0% compared to 0.0% in Sterling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sterling | Sumter |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (246) |
| High School Diploma | 0.0% (Data is updating) | 15.8% (6,741) |
| Less than High School | 0.0% (Data is updating) | 9.2% (3,936) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 17.5% (7,485) |
Education Levels Comparison: Sterling vs Sumter
- In Sumter, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Sterling.
- In Sumter, the rate of residents with high school diplomas is higher at 15.8% compared to 0.0% in Sterling.
- The percentage of residents with less than a high school education is higher in Sumter at 9.2%, compared to 0.0% in Sterling.
- In Sumter, a larger share of residents have a bachelor's degree or higher at 17.5% compared to 0.0% in Sterling.
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.