Demographics details for Helena, AL vs Sugar valley, GA
Population Overview
Compare main population characteristics in Helena, AL vs Sugar valley, GA.
| Data | Helena | Sugar valley |
|---|---|---|
| Population | 21,862 | 8,120 |
| Median Age | 38.2 years | 38.8 years |
| Median Income | $107,360 | $68,839 |
| Married Families | 46.0% | 42.0% |
| Poverty Level | 6% | 9% |
| Unemployment Rate | 2.8 | 3.5 |
Population Comparison: Helena vs Sugar valley
- In Helena, the population is higher at 21,862, compared to 8,120 in Sugar valley.
- The median age in Sugar valley is higher at 38.8 years, compared to 38.2 years in Helena.
- Helena has a higher median income of $107,360 compared to $68,839 in Sugar valley.
- A higher percentage of married families is found in Helena at 46.0% compared to 42.0% in Sugar valley.
- The poverty level is higher in Sugar valley at 9%, compared to 6% in Helena.
- Sugar valley has a higher unemployment rate at 3.5% compared to 2.8% in Helena.
Demographics
Demographics Helena vs Sugar valley provide insight into the diversity of the communities to compare.
| Demographic | Helena | Sugar valley |
|---|---|---|
| Black | 18 | Data is updating |
| White | 73 | 86 |
| Asian | 1 | 1 |
| Hispanic | 3 | 9 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Helena vs Sugar valley
- A higher percentage of Black residents are in Helena at 18% compared to 0% in Sugar valley.
- The percentage of White residents is higher in Sugar valley at 86% compared to 73% in Helena.
- Both Helena and Sugar valley have the same percentage of Asian residents at 1%.
- Sugar valley has a higher percentage of Hispanic residents at 9%, compared to 3% in Helena.
- More residents identify as two or more races in Helena at 5% compared to 4% in Sugar valley.
- The percentage of American Indian residents is the same in both Helena and Sugar valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helena | Sugar valley |
|---|---|---|
| Mental Health Not Good | 15.2% | Data is updating% |
| Physical Health Not Good | 8.6% | Data is updating% |
| Depression | 21.9% | Data is updating% |
| Smoking | 11.8% | Data is updating% |
| Binge Drinking | 18.0% | Data is updating% |
| Obesity | 32.1% | Data is updating% |
| Disability Percentage | 7.0% | 16.0% |
Health Statistics Comparison: Helena vs Sugar valley
- More residents in Helena report poor mental health at 15.2% compared to 0.0% in Sugar valley.
- Depression is more prevalent in Helena at 21.9% compared to 0.0% in Sugar valley.
- Smoking is more prevalent in Helena at 11.8% compared to 0.0% in Sugar valley.
- Binge drinking is more common in Helena at 18.0% compared to 0.0% in Sugar valley.
- Obesity rates are higher in Helena at 32.1% compared to 0.0% in Sugar valley.
- There is a higher percentage of disabled individuals in Sugar valley at 16.0% compared to 7.0% in Helena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Helena | Sugar valley |
|---|---|---|
| No Schooling | 0.5% (106) | 1.4% (111) |
| High School Diploma | 9.7% (2,129) | 16.9% (1,371) |
| Less than High School | 3.4% (749) | 22.0% (1,784) |
| Bachelor's Degree and Higher | 30.8% (6,741) | 7.6% (619) |
Education Levels Comparison: Helena vs Sugar valley
- In Sugar valley, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Helena.
- In Sugar valley, the rate of residents with high school diplomas is higher at 16.9% compared to 9.7% in Helena.
- The percentage of residents with less than a high school education is higher in Sugar valley at 22.0%, compared to 3.4% in Helena.
- A higher percentage of residents in Helena hold a bachelor's degree or higher at 30.8% compared to 7.6% in Sugar valley.
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.