Demographics details for Addison, AL vs Jefferson, OR
Population Overview
Compare main population characteristics in Addison, AL vs Jefferson, OR.
| Data | Addison | Jefferson |
|---|---|---|
| Population | 669 | 3,304 |
| Median Age | 38.4 years | 31.7 years |
| Median Income | $47,188 | $87,604 |
| Married Families | 46.0% | 39.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Addison vs Jefferson
- The population in Jefferson is higher at 3,304, compared to 669 in Addison.
- Residents in Addison have a higher median age of 38.4 years compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604, compared to $47,188 in Addison.
- A higher percentage of married families is found in Addison at 46.0% compared to 39.0% in Jefferson.
- Addison has a higher poverty level at 12% compared to 10% in Jefferson.
- The unemployment rate is the same in both Addison and Jefferson at 3.5%.
Demographics
Demographics Addison vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Addison | Jefferson |
|---|---|---|
| Black | Data is updating | 2 |
| White | 97 | 67 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 20 |
| Two or More Races | 3 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Addison vs Jefferson
- In Jefferson, the percentage of Black residents is higher at 2% compared to 0% in Addison.
- Addison has a higher percentage of White residents at 97% compared to 67% in Jefferson.
- Both Addison and Jefferson have the same percentage of Asian residents at 0%.
- Jefferson has a higher percentage of Hispanic residents at 20%, compared to 0% in Addison.
- The percentage of residents identifying as two or more races is higher in Jefferson at 10%, compared to 3% in Addison.
- In Jefferson, the percentage of American Indian residents is higher at 1%, compared to 0% in Addison.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Addison | Jefferson |
|---|---|---|
| Mental Health Not Good | 20.3% | 18.4% |
| Physical Health Not Good | 13.7% | 12.0% |
| Depression | 26.6% | 28.9% |
| Smoking | 21.6% | 16.5% |
| Binge Drinking | 16.1% | 16.4% |
| Obesity | 38.2% | 36.5% |
| Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Addison vs Jefferson
- More residents in Addison report poor mental health at 20.3% compared to 18.4% in Jefferson.
- Higher depression rates are seen in Jefferson at 28.9% versus 26.6% in Addison.
- Smoking is more prevalent in Addison at 21.6% compared to 16.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 16.4% compared to 16.1% in Addison.
- Obesity rates are higher in Addison at 38.2% compared to 36.5% in Jefferson.
- Disability percentages are higher in Addison at 18.0% 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 | Addison | Jefferson |
|---|---|---|
| No Schooling | 0.6% (4) | 2.4% (78) |
| High School Diploma | 23.8% (159) | 13.0% (430) |
| Less than High School | 23.9% (160) | 13.9% (458) |
| Bachelor's Degree and Higher | 4.9% (33) | 11.0% (363) |
Education Levels Comparison: Addison vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.4% compared to 0.6% in Addison.
- A higher percentage of residents in Addison hold a high school diploma at 23.8% compared to 13.0% in Jefferson.
- More residents in Addison have less than a high school education at 23.9% compared to 13.9% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 4.9% in Addison.
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.