Demographics details for Jefferson, SD vs Hamlet, NC
Population Overview
Compare main population characteristics in Jefferson, SD vs Hamlet, NC.
| Data | Jefferson | Hamlet |
|---|---|---|
| Population | 457 | 5,973 |
| Median Age | 37.1 years | 37.3 years |
| Median Income | $77,601 | $34,798 |
| Married Families | 59.0% | 26.0% |
| Poverty Level | 5% | 26% |
| Unemployment Rate | 2.3 | 5.1 |
Population Comparison: Jefferson vs Hamlet
- The population in Hamlet is higher at 5,973, compared to 457 in Jefferson.
- The median age in Hamlet is higher at 37.3 years, compared to 37.1 years in Jefferson.
- Jefferson has a higher median income of $77,601 compared to $34,798 in Hamlet.
- A higher percentage of married families is found in Jefferson at 59.0% compared to 26.0% in Hamlet.
- The poverty level is higher in Hamlet at 26%, compared to 5% in Jefferson.
- Hamlet has a higher unemployment rate at 5.1% compared to 2.3% in Jefferson.
Demographics
Demographics Jefferson vs Hamlet provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Hamlet |
|---|---|---|
| Black | Data is updating | 46 |
| White | 85 | 51 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 1 |
| Two or More Races | 4 | 1 |
| American Indian | 5 | 1 |
Demographics Comparison: Jefferson vs Hamlet
- In Hamlet, the percentage of Black residents is higher at 46% compared to 0% in Jefferson.
- Jefferson has a higher percentage of White residents at 85% compared to 51% in Hamlet.
- Both Jefferson and Hamlet have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Jefferson at 6% compared to 1% in Hamlet.
- More residents identify as two or more races in Jefferson at 4% compared to 1% in Hamlet.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 1% in Hamlet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Hamlet |
|---|---|---|
| Mental Health Not Good | 12.5% | 18.5% |
| Physical Health Not Good | 8.2% | 13.7% |
| Depression | 16.7% | 23.9% |
| Smoking | 14.5% | 21.2% |
| Binge Drinking | 20.4% | 15.3% |
| Obesity | 38.6% | 40.1% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Jefferson vs Hamlet
- In Hamlet, a higher percentage report poor mental health at 18.5% compared to 12.5% in Jefferson.
- Higher depression rates are seen in Hamlet at 23.9% versus 16.7% in Jefferson.
- Hamlet has a higher smoking rate at 21.2% compared to 14.5% in Jefferson.
- Binge drinking is more common in Jefferson at 20.4% compared to 15.3% in Hamlet.
- Hamlet has higher obesity rates at 40.1% compared to 38.6% in Jefferson.
- There is a higher percentage of disabled individuals in Hamlet at 17.0% 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 | Hamlet |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.2% (132) |
| High School Diploma | 22.3% (102) | 18.6% (1,112) |
| Less than High School | 7.9% (36) | 12.2% (731) |
| Bachelor's Degree and Higher | 23.0% (105) | 5.3% (317) |
Education Levels Comparison: Jefferson vs Hamlet
- In Hamlet, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Jefferson.
- A higher percentage of residents in Jefferson hold a high school diploma at 22.3% compared to 18.6% in Hamlet.
- The percentage of residents with less than a high school education is higher in Hamlet at 12.2%, 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 5.3% in Hamlet.
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.