Demographics details for Jefferson, OR vs Hickman, KY
Population Overview
Compare main population characteristics in Jefferson, OR vs Hickman, KY.
| Data | Jefferson | Hickman |
|---|---|---|
| Population | 3,304 | 4,422 |
| Median Age | 31.7 years | 46.6 years |
| Median Income | $87,604 | $68,589 |
| Married Families | 39.0% | 41.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 5.7 |
Population Comparison: Jefferson vs Hickman
- The population in Hickman is higher at 4,422, compared to 3,304 in Jefferson.
- The median age in Hickman is higher at 46.6 years, compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604 compared to $68,589 in Hickman.
- In Hickman, the percentage of married families is higher at 41.0%, compared to 39.0% in Jefferson.
- The poverty level is higher in Hickman at 12%, compared to 10% in Jefferson.
- Hickman has a higher unemployment rate at 5.7% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Hickman provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Hickman |
|---|---|---|
| Black | 2 | 10 |
| White | 67 | 85 |
| Asian | Data is updating | Data is updating |
| Hispanic | 20 | 2 |
| Two or More Races | 10 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Jefferson vs Hickman
- In Hickman, the percentage of Black residents is higher at 10% compared to 2% in Jefferson.
- The percentage of White residents is higher in Hickman at 85% compared to 67% in Jefferson.
- Both Jefferson and Hickman have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Jefferson at 20% compared to 2% in Hickman.
- More residents identify as two or more races in Jefferson at 10% compared to 3% in Hickman.
- A greater percentage of American Indian residents live in Jefferson at 1% compared to 0% in Hickman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Hickman |
|---|---|---|
| Mental Health Not Good | 18.4% | 19.6% |
| Physical Health Not Good | 12.0% | 14.9% |
| Depression | 28.9% | 27.9% |
| Smoking | 16.5% | 23.5% |
| Binge Drinking | 16.4% | 14.4% |
| Obesity | 36.5% | 38.9% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Jefferson vs Hickman
- In Hickman, a higher percentage report poor mental health at 19.6% compared to 18.4% in Jefferson.
- Depression is more prevalent in Jefferson at 28.9% compared to 27.9% in Hickman.
- Hickman has a higher smoking rate at 23.5% compared to 16.5% in Jefferson.
- Binge drinking is more common in Jefferson at 16.4% compared to 14.4% in Hickman.
- Hickman has higher obesity rates at 38.9% compared to 36.5% in Jefferson.
- There is a higher percentage of disabled individuals in Hickman at 20.0% 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 | Jefferson | Hickman |
|---|---|---|
| No Schooling | 2.4% (78) | 0.2% (11) |
| High School Diploma | 13.0% (430) | 23.3% (1,029) |
| Less than High School | 13.9% (458) | 15.5% (685) |
| Bachelor's Degree and Higher | 11.0% (363) | 16.5% (728) |
Education Levels Comparison: Jefferson vs Hickman
- A higher percentage of residents in Jefferson have no formal schooling at 2.4% compared to 0.2% in Hickman.
- In Hickman, the rate of residents with high school diplomas is higher at 23.3% compared to 13.0% in Jefferson.
- The percentage of residents with less than a high school education is higher in Hickman at 15.5%, compared to 13.9% in Jefferson.
- In Hickman, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 11.0% 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.