Demographics details for Jefferson, OR vs Fort smith, AR
Population Overview
Compare main population characteristics in Jefferson, OR vs Fort smith, AR.
| Data | Jefferson | Fort smith |
|---|---|---|
| Population | 3,304 | 89,992 |
| Median Age | 31.7 years | 36.4 years |
| Median Income | $87,604 | $50,799 |
| Married Families | 39.0% | 36.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Jefferson vs Fort smith
- The population in Fort smith is higher at 89,992, compared to 3,304 in Jefferson.
- The median age in Fort smith is higher at 36.4 years, compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604 compared to $50,799 in Fort smith.
- A higher percentage of married families is found in Jefferson at 39.0% compared to 36.0% in Fort smith.
- The poverty level is higher in Fort smith at 12%, compared to 10% in Jefferson.
- Fort smith has a higher unemployment rate at 3.7% compared to 3.5% in Jefferson.
Demographics
Demographics Jefferson vs Fort smith provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Fort smith |
|---|---|---|
| Black | 2 | 8 |
| White | 67 | 57 |
| Asian | Data is updating | 6 |
| Hispanic | 20 | 19 |
| Two or More Races | 10 | 9 |
| American Indian | 1 | 1 |
Demographics Comparison: Jefferson vs Fort smith
- In Fort smith, the percentage of Black residents is higher at 8% compared to 2% in Jefferson.
- Jefferson has a higher percentage of White residents at 67% compared to 57% in Fort smith.
- In Fort smith, the Asian population stands at 6%, greater than 0% in Jefferson.
- The Hispanic community is larger in Jefferson at 20% compared to 19% in Fort smith.
- More residents identify as two or more races in Jefferson at 10% compared to 9% in Fort smith.
- The percentage of American Indian residents is the same in both Jefferson and Fort smith at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Fort smith |
|---|---|---|
| Mental Health Not Good | 18.4% | 19.6% |
| Physical Health Not Good | 12.0% | 14.7% |
| Depression | 28.9% | 27.8% |
| Smoking | 16.5% | 21.8% |
| Binge Drinking | 16.4% | 13.2% |
| Obesity | 36.5% | 39.5% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Jefferson vs Fort smith
- In Fort smith, 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 27.8% in Fort smith.
- Fort smith has a higher smoking rate at 21.8% compared to 16.5% in Jefferson.
- Binge drinking is more common in Jefferson at 16.4% compared to 13.2% in Fort smith.
- Fort smith has higher obesity rates at 39.5% compared to 36.5% in Jefferson.
- There is a higher percentage of disabled individuals in Fort smith 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 | Fort smith |
|---|---|---|
| No Schooling | 2.4% (78) | 2.3% (2,029) |
| High School Diploma | 13.0% (430) | 14.8% (13,356) |
| Less than High School | 13.9% (458) | 19.8% (17,822) |
| Bachelor's Degree and Higher | 11.0% (363) | 16.4% (14,745) |
Education Levels Comparison: Jefferson vs Fort smith
- A higher percentage of residents in Jefferson have no formal schooling at 2.4% compared to 2.3% in Fort smith.
- In Fort smith, the rate of residents with high school diplomas is higher at 14.8% compared to 13.0% in Jefferson.
- The percentage of residents with less than a high school education is higher in Fort smith at 19.8%, compared to 13.9% in Jefferson.
- In Fort smith, a larger share of residents have a bachelor's degree or higher at 16.4% 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.