Demographics details for Dacula, GA vs Jefferson, OR
Population Overview
Compare main population characteristics in Dacula, GA vs Jefferson, OR.
Data | Dacula | Jefferson |
---|---|---|
Population | 7,460 | 3,304 |
Median Age | 35.0 years | 31.7 years |
Median Income | $81,322 | $87,604 |
Married Families | 39.0% | 39.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Dacula vs Jefferson
- In Dacula, the population is higher at 7,460, compared to 3,304 in Jefferson.
- Residents in Dacula have a higher median age of 35.0 years compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604, compared to $81,322 in Dacula.
- The percentage of married families is the same in both Dacula and Jefferson at 39.0%.
- The poverty level is higher in Jefferson at 10%, compared to 5% in Dacula.
- Jefferson has a higher unemployment rate at 3.5% compared to 3.2% in Dacula.
Demographics
Demographics Dacula vs Jefferson provide insight into the diversity of the communities to compare.
Demographic | Dacula | Jefferson |
---|---|---|
Black | 23 | 2 |
White | 41 | 67 |
Asian | 7 | Data is updating |
Hispanic | 19 | 20 |
Two or More Races | 9 | 10 |
American Indian | 1 | 1 |
Demographics Comparison: Dacula vs Jefferson
- A higher percentage of Black residents are in Dacula at 23% compared to 2% in Jefferson.
- The percentage of White residents is higher in Jefferson at 67% compared to 41% in Dacula.
- The Asian population is larger in Dacula at 7% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 20%, compared to 19% in Dacula.
- The percentage of residents identifying as two or more races is higher in Jefferson at 10%, compared to 9% in Dacula.
- The percentage of American Indian residents is the same in both Dacula and Jefferson at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dacula | Jefferson |
---|---|---|
Mental Health Not Good | 14.4% | 18.4% |
Physical Health Not Good | 9.5% | 12.0% |
Depression | 19.1% | 28.9% |
Smoking | 12.9% | 16.5% |
Binge Drinking | 16.5% | 16.4% |
Obesity | 29.7% | 36.5% |
Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Dacula vs Jefferson
- In Jefferson, a higher percentage report poor mental health at 18.4% compared to 14.4% in Dacula.
- Higher depression rates are seen in Jefferson at 28.9% versus 19.1% in Dacula.
- Jefferson has a higher smoking rate at 16.5% compared to 12.9% in Dacula.
- Binge drinking is more common in Dacula at 16.5% compared to 16.4% in Jefferson.
- Jefferson has higher obesity rates at 36.5% compared to 29.7% in Dacula.
- Disability percentages are higher in Dacula at 16.0% 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 | Dacula | Jefferson |
---|---|---|
No Schooling | 4.8% (355) | 2.4% (78) |
High School Diploma | 8.0% (599) | 13.0% (430) |
Less than High School | 17.0% (1,267) | 13.9% (458) |
Bachelor's Degree and Higher | 13.2% (988) | 11.0% (363) |
Education Levels Comparison: Dacula vs Jefferson
- A higher percentage of residents in Dacula have no formal schooling at 4.8% compared to 2.4% in Jefferson.
- In Jefferson, the rate of residents with high school diplomas is higher at 13.0% compared to 8.0% in Dacula.
- More residents in Dacula have less than a high school education at 17.0% compared to 13.9% in Jefferson.
- A higher percentage of residents in Dacula hold a bachelor's degree or higher at 13.2% 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.