Demographics details for Senoia, GA vs Viborg, SD
Population Overview
Compare main population characteristics in Senoia, GA vs Viborg, SD.
| Data | Senoia | Viborg |
|---|---|---|
| Population | 5,663 | 824 |
| Median Age | 35.8 years | 50.3 years |
| Median Income | $114,423 | $46,316 |
| Married Families | 48.0% | 31.0% |
| Poverty Level | 3% | 12% |
| Unemployment Rate | 3.0 | 3.2 |
Population Comparison: Senoia vs Viborg
- In Senoia, the population is higher at 5,663, compared to 824 in Viborg.
- The median age in Viborg is higher at 50.3 years, compared to 35.8 years in Senoia.
- Senoia has a higher median income of $114,423 compared to $46,316 in Viborg.
- A higher percentage of married families is found in Senoia at 48.0% compared to 31.0% in Viborg.
- The poverty level is higher in Viborg at 12%, compared to 3% in Senoia.
- Viborg has a higher unemployment rate at 3.2% compared to 3.0% in Senoia.
Demographics
Demographics Senoia vs Viborg provide insight into the diversity of the communities to compare.
| Demographic | Senoia | Viborg |
|---|---|---|
| Black | 16 | Data is updating |
| White | 74 | 91 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 4 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Senoia vs Viborg
- A higher percentage of Black residents are in Senoia at 16% compared to 0% in Viborg.
- The percentage of White residents is higher in Viborg at 91% compared to 74% in Senoia.
- The Asian population is larger in Senoia at 1% compared to 0% in Viborg.
- Viborg has a higher percentage of Hispanic residents at 4%, compared to 3% in Senoia.
- More residents identify as two or more races in Senoia at 6% compared to 4% in Viborg.
- In Viborg, the percentage of American Indian residents is higher at 1%, compared to 0% in Senoia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Senoia | Viborg |
|---|---|---|
| Mental Health Not Good | 15.0% | 13.8% |
| Physical Health Not Good | 10.0% | 9.5% |
| Depression | 20.5% | 18.1% |
| Smoking | 13.2% | 17.4% |
| Binge Drinking | 17.5% | 20.1% |
| Obesity | 32.0% | 35.2% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Senoia vs Viborg
- More residents in Senoia report poor mental health at 15.0% compared to 13.8% in Viborg.
- Depression is more prevalent in Senoia at 20.5% compared to 18.1% in Viborg.
- Viborg has a higher smoking rate at 17.4% compared to 13.2% in Senoia.
- More residents engage in binge drinking in Viborg at 20.1% compared to 17.5% in Senoia.
- Viborg has higher obesity rates at 35.2% compared to 32.0% in Senoia.
- There is a higher percentage of disabled individuals in Viborg at 12.0% compared to 8.0% in Senoia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Senoia | Viborg |
|---|---|---|
| No Schooling | 0.4% (24) | 0.0% (Data is updating) |
| High School Diploma | 10.0% (564) | 22.8% (188) |
| Less than High School | 4.6% (258) | 14.2% (117) |
| Bachelor's Degree and Higher | 31.6% (1,788) | 14.6% (120) |
Education Levels Comparison: Senoia vs Viborg
- A higher percentage of residents in Senoia have no formal schooling at 0.4% compared to 0.0% in Viborg.
- In Viborg, the rate of residents with high school diplomas is higher at 22.8% compared to 10.0% in Senoia.
- The percentage of residents with less than a high school education is higher in Viborg at 14.2%, compared to 4.6% in Senoia.
- A higher percentage of residents in Senoia hold a bachelor's degree or higher at 31.6% compared to 14.6% in Viborg.
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.