Demographics details for Kingsport, TN vs Jefferson, WI
Population Overview
Compare main population characteristics in Kingsport, TN vs Jefferson, WI.
| Data | Kingsport | Jefferson |
|---|---|---|
| Population | 56,150 | 7,649 |
| Median Age | 44.6 years | 44.8 years |
| Median Income | $48,228 | $69,844 |
| Married Families | 38.0% | 37.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Kingsport vs Jefferson
- In Kingsport, the population is higher at 56,150, compared to 7,649 in Jefferson.
- The median age in Jefferson is higher at 44.8 years, compared to 44.6 years in Kingsport.
- Jefferson has a higher median income of $69,844, compared to $48,228 in Kingsport.
- A higher percentage of married families is found in Kingsport at 38.0% compared to 37.0% in Jefferson.
- Kingsport has a higher poverty level at 13% compared to 5% in Jefferson.
- The unemployment rate in Kingsport is higher at 4.2%, compared to 3.5% in Jefferson.
Demographics
Demographics Kingsport vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Kingsport | Jefferson |
|---|---|---|
| Black | 3 | 2 |
| White | 89 | 79 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 15 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kingsport vs Jefferson
- A higher percentage of Black residents are in Kingsport at 3% compared to 2% in Jefferson.
- Kingsport has a higher percentage of White residents at 89% compared to 79% in Jefferson.
- The Asian population is larger in Kingsport at 1% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 15%, compared to 3% in Kingsport.
- Both Kingsport and Jefferson have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Kingsport and Jefferson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingsport | Jefferson |
|---|---|---|
| Mental Health Not Good | 20.3% | 14.7% |
| Physical Health Not Good | 13.9% | 9.8% |
| Depression | 30.7% | 22.9% |
| Smoking | 22.2% | 15.3% |
| Binge Drinking | 13.8% | 24.2% |
| Obesity | 37.0% | 33.7% |
| Disability Percentage | 21.0% | 13.0% |
Health Statistics Comparison: Kingsport vs Jefferson
- More residents in Kingsport report poor mental health at 20.3% compared to 14.7% in Jefferson.
- Depression is more prevalent in Kingsport at 30.7% compared to 22.9% in Jefferson.
- Smoking is more prevalent in Kingsport at 22.2% compared to 15.3% in Jefferson.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 13.8% in Kingsport.
- Obesity rates are higher in Kingsport at 37.0% compared to 33.7% in Jefferson.
- Disability percentages are higher in Kingsport at 21.0% compared to 13.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingsport | Jefferson |
|---|---|---|
| No Schooling | 0.6% (359) | 2.8% (215) |
| High School Diploma | 18.7% (10,481) | 24.4% (1,865) |
| Less than High School | 14.2% (7,995) | 13.3% (1,019) |
| Bachelor's Degree and Higher | 21.6% (12,103) | 16.4% (1,254) |
Education Levels Comparison: Kingsport vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 0.6% in Kingsport.
- In Jefferson, the rate of residents with high school diplomas is higher at 24.4% compared to 18.7% in Kingsport.
- More residents in Kingsport have less than a high school education at 14.2% compared to 13.3% in Jefferson.
- A higher percentage of residents in Kingsport hold a bachelor's degree or higher at 21.6% compared to 16.4% in Jefferson.
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.