Demographics details for Senoia, GA vs Jefferson, OR
Population Overview
Compare main population characteristics in Senoia, GA vs Jefferson, OR.
| Data | Senoia | Jefferson |
|---|---|---|
| Population | 5,663 | 3,304 |
| Median Age | 35.8 years | 31.7 years |
| Median Income | $114,423 | $87,604 |
| Married Families | 48.0% | 39.0% |
| Poverty Level | 3% | 10% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Senoia vs Jefferson
- In Senoia, the population is higher at 5,663, compared to 3,304 in Jefferson.
- Residents in Senoia have a higher median age of 35.8 years compared to 31.7 years in Jefferson.
- Senoia has a higher median income of $114,423 compared to $87,604 in Jefferson.
- A higher percentage of married families is found in Senoia at 48.0% compared to 39.0% in Jefferson.
- The poverty level is higher in Jefferson at 10%, compared to 3% in Senoia.
- Jefferson has a higher unemployment rate at 3.5% compared to 3.0% in Senoia.
Demographics
Demographics Senoia vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Senoia | Jefferson |
|---|---|---|
| Black | 16 | 2 |
| White | 74 | 67 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 20 |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Senoia vs Jefferson
- A higher percentage of Black residents are in Senoia at 16% compared to 2% in Jefferson.
- Senoia has a higher percentage of White residents at 74% compared to 67% in Jefferson.
- The Asian population is larger in Senoia at 1% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 20%, compared to 3% in Senoia.
- The percentage of residents identifying as two or more races is higher in Jefferson at 10%, compared to 6% in Senoia.
- In Jefferson, the percentage of American Indian residents is higher at 1%, compared to 0% in Senoia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Senoia | Jefferson |
|---|---|---|
| Mental Health Not Good | 15.0% | 18.4% |
| Physical Health Not Good | 10.0% | 12.0% |
| Depression | 20.5% | 28.9% |
| Smoking | 13.2% | 16.5% |
| Binge Drinking | 17.5% | 16.4% |
| Obesity | 32.0% | 36.5% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Senoia vs Jefferson
- In Jefferson, a higher percentage report poor mental health at 18.4% compared to 15.0% in Senoia.
- Higher depression rates are seen in Jefferson at 28.9% versus 20.5% in Senoia.
- Jefferson has a higher smoking rate at 16.5% compared to 13.2% in Senoia.
- Binge drinking is more common in Senoia at 17.5% compared to 16.4% in Jefferson.
- Jefferson has higher obesity rates at 36.5% compared to 32.0% in Senoia.
- There is a higher percentage of disabled individuals in Jefferson at 13.0% compared to 8.0% in Senoia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Senoia | Jefferson |
|---|---|---|
| No Schooling | 0.4% (24) | 2.4% (78) |
| High School Diploma | 10.0% (564) | 13.0% (430) |
| Less than High School | 4.6% (258) | 13.9% (458) |
| Bachelor's Degree and Higher | 31.6% (1,788) | 11.0% (363) |
Education Levels Comparison: Senoia vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.4% compared to 0.4% in Senoia.
- In Jefferson, the rate of residents with high school diplomas is higher at 13.0% compared to 10.0% in Senoia.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.9%, compared to 4.6% in Senoia.
- A higher percentage of residents in Senoia hold a bachelor's degree or higher at 31.6% 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.