Demographics details for Jefferson, MD vs Bedford, VA
Population Overview
Compare main population characteristics in Jefferson, MD vs Bedford, VA.
| Data | Jefferson | Bedford |
|---|---|---|
| Population | 2,742 | 6,735 |
| Median Age | 41.4 years | 40.5 years |
| Median Income | $137,667 | $41,154 |
| Married Families | 51.0% | 32.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Jefferson vs Bedford
- The population in Bedford is higher at 6,735, compared to 2,742 in Jefferson.
- Residents in Jefferson have a higher median age of 41.4 years compared to 40.5 years in Bedford.
- Jefferson has a higher median income of $137,667 compared to $41,154 in Bedford.
- A higher percentage of married families is found in Jefferson at 51.0% compared to 32.0% in Bedford.
- The poverty level is higher in Bedford at 10%, compared to 0% in Jefferson.
- Bedford has a higher unemployment rate at 3.5% compared to 3.2% in Jefferson.
Demographics
Demographics Jefferson vs Bedford provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Bedford |
|---|---|---|
| Black | 6 | 17 |
| White | 82 | 75 |
| Asian | 3 | 3 |
| Hispanic | 5 | 2 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Jefferson vs Bedford
- In Bedford, the percentage of Black residents is higher at 17% compared to 6% in Jefferson.
- Jefferson has a higher percentage of White residents at 82% compared to 75% in Bedford.
- Both Jefferson and Bedford have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Jefferson at 5% compared to 2% in Bedford.
- More residents identify as two or more races in Jefferson at 4% compared to 3% in Bedford.
- The percentage of American Indian residents is the same in both Jefferson and Bedford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Bedford |
|---|---|---|
| Mental Health Not Good | 14.8% | 19.9% |
| Physical Health Not Good | 7.8% | 14.0% |
| Depression | 20.4% | 25.4% |
| Smoking | 12.6% | 21.9% |
| Binge Drinking | 17.8% | 15.7% |
| Obesity | 32.1% | 41.8% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Jefferson vs Bedford
- In Bedford, a higher percentage report poor mental health at 19.9% compared to 14.8% in Jefferson.
- Higher depression rates are seen in Bedford at 25.4% versus 20.4% in Jefferson.
- Bedford has a higher smoking rate at 21.9% compared to 12.6% in Jefferson.
- Binge drinking is more common in Jefferson at 17.8% compared to 15.7% in Bedford.
- Bedford has higher obesity rates at 41.8% compared to 32.1% in Jefferson.
- Disability percentages are the same in both Jefferson and Bedford at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Bedford |
|---|---|---|
| No Schooling | 0.4% (10) | 1.3% (87) |
| High School Diploma | 18.8% (516) | 22.5% (1,518) |
| Less than High School | 2.3% (62) | 19.7% (1,324) |
| Bachelor's Degree and Higher | 27.4% (751) | 13.5% (909) |
Education Levels Comparison: Jefferson vs Bedford
- In Bedford, a larger percentage of residents lack formal schooling at 1.3% compared to 0.4% in Jefferson.
- In Bedford, the rate of residents with high school diplomas is higher at 22.5% compared to 18.8% in Jefferson.
- The percentage of residents with less than a high school education is higher in Bedford at 19.7%, compared to 2.3% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 27.4% compared to 13.5% in Bedford.
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.