Demographics details for Jefferson, SD vs Star, NC
Population Overview
Compare main population characteristics in Jefferson, SD vs Star, NC.
| Data | Jefferson | Star |
|---|---|---|
| Population | 457 | 809 |
| Median Age | 37.1 years | 47.6 years |
| Median Income | $77,601 | $35,750 |
| Married Families | 59.0% | 50.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.3 | 5.0 |
Population Comparison: Jefferson vs Star
- The population in Star is higher at 809, compared to 457 in Jefferson.
- The median age in Star is higher at 47.6 years, compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601 compared to $35,750 in Star.
- A higher percentage of married families is found in Jefferson at 59.0% compared to 50.0% in Star.
- The poverty level is higher in Star at 12%, compared to 5% in Jefferson.
- Star has a higher unemployment rate at 5.0% compared to 2.3% in Jefferson.
Demographics
Demographics Jefferson vs Star provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Star |
|---|---|---|
| Black | Data is updating | 50 |
| White | 85 | 19 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 29 |
| Two or More Races | 4 | 1 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Jefferson vs Star
- In Star, the percentage of Black residents is higher at 50% compared to 0% in Jefferson.
- Jefferson has a higher percentage of White residents at 85% compared to 19% in Star.
- In Star, the Asian population stands at 1%, greater than 0% in Jefferson.
- Star has a higher percentage of Hispanic residents at 29%, compared to 6% in Jefferson.
- More residents identify as two or more races in Jefferson at 4% compared to 1% in Star.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 0% in Star.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Star |
|---|---|---|
| Mental Health Not Good | 12.5% | 17.9% |
| Physical Health Not Good | 8.2% | 13.4% |
| Depression | 16.7% | 25.0% |
| Smoking | 14.5% | 20.7% |
| Binge Drinking | 20.4% | 16.4% |
| Obesity | 38.6% | 36.6% |
| Disability Percentage | 14.0% | 68.0% |
Health Statistics Comparison: Jefferson vs Star
- In Star, a higher percentage report poor mental health at 17.9% compared to 12.5% in Jefferson.
- Higher depression rates are seen in Star at 25.0% versus 16.7% in Jefferson.
- Star has a higher smoking rate at 20.7% compared to 14.5% in Jefferson.
- Binge drinking is more common in Jefferson at 20.4% compared to 16.4% in Star.
- Obesity rates are higher in Jefferson at 38.6% compared to 36.6% in Star.
- There is a higher percentage of disabled individuals in Star at 68.0% compared to 14.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Star |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (6) |
| High School Diploma | 22.3% (102) | 20.9% (169) |
| Less than High School | 7.9% (36) | 44.0% (356) |
| Bachelor's Degree and Higher | 23.0% (105) | 14.6% (118) |
Education Levels Comparison: Jefferson vs Star
- In Star, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Jefferson.
- A higher percentage of residents in Jefferson hold a high school diploma at 22.3% compared to 20.9% in Star.
- The percentage of residents with less than a high school education is higher in Star at 44.0%, compared to 7.9% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 23.0% compared to 14.6% in Star.
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.