Demographics details for Jefferson, SD vs Manassas, VA
Population Overview
Compare main population characteristics in Jefferson, SD vs Manassas, VA.
Data | Jefferson | Manassas |
---|---|---|
Population | 457 | 42,642 |
Median Age | 37.1 years | 35.1 years |
Median Income | $77,601 | $110,559 |
Married Families | 59.0% | 38.0% |
Poverty Level | 5% | 7% |
Unemployment Rate | 2.3 | 2.7 |
Population Comparison: Jefferson vs Manassas
- The population in Manassas is higher at 42,642, compared to 457 in Jefferson.
- Residents in Jefferson have a higher median age of 37.1 years compared to 35.1 years in Manassas.
- Manassas has a higher median income of $110,559, compared to $77,601 in Jefferson.
- A higher percentage of married families is found in Jefferson at 59.0% compared to 38.0% in Manassas.
- The poverty level is higher in Manassas at 7%, compared to 5% in Jefferson.
- Manassas has a higher unemployment rate at 2.7% compared to 2.3% in Jefferson.
Demographics
Demographics Jefferson vs Manassas provide insight into the diversity of the communities to compare.
Demographic | Jefferson | Manassas |
---|---|---|
Black | Data is updating | 13 |
White | 85 | 23 |
Asian | Data is updating | 6 |
Hispanic | 6 | 39 |
Two or More Races | 4 | 18 |
American Indian | 5 | 1 |
Demographics Comparison: Jefferson vs Manassas
- In Manassas, the percentage of Black residents is higher at 13% compared to 0% in Jefferson.
- Jefferson has a higher percentage of White residents at 85% compared to 23% in Manassas.
- In Manassas, the Asian population stands at 6%, greater than 0% in Jefferson.
- Manassas has a higher percentage of Hispanic residents at 39%, compared to 6% in Jefferson.
- The percentage of residents identifying as two or more races is higher in Manassas at 18%, compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 1% in Manassas.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Jefferson | Manassas |
---|---|---|
Mental Health Not Good | 12.5% | 15.4% |
Physical Health Not Good | 8.2% | 10.5% |
Depression | 16.7% | 20.8% |
Smoking | 14.5% | 14.7% |
Binge Drinking | 20.4% | 16.8% |
Obesity | 38.6% | 34.8% |
Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Jefferson vs Manassas
- In Manassas, a higher percentage report poor mental health at 15.4% compared to 12.5% in Jefferson.
- Higher depression rates are seen in Manassas at 20.8% versus 16.7% in Jefferson.
- Manassas has a higher smoking rate at 14.7% compared to 14.5% in Jefferson.
- Binge drinking is more common in Jefferson at 20.4% compared to 16.8% in Manassas.
- Obesity rates are higher in Jefferson at 38.6% compared to 34.8% in Manassas.
- Disability percentages are higher in Jefferson at 14.0% compared to 8.0% in Manassas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Jefferson | Manassas |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.0% (1,266) |
High School Diploma | 22.3% (102) | 15.8% (6,749) |
Less than High School | 7.9% (36) | 17.4% (7,427) |
Bachelor's Degree and Higher | 23.0% (105) | 22.4% (9,563) |
Education Levels Comparison: Jefferson vs Manassas
- In Manassas, a larger percentage of residents lack formal schooling at 3.0% compared to 0.0% in Jefferson.
- A higher percentage of residents in Jefferson hold a high school diploma at 22.3% compared to 15.8% in Manassas.
- The percentage of residents with less than a high school education is higher in Manassas at 17.4%, compared to 7.9% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 23.0% compared to 22.4% in Manassas.
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.