Demographics details for Webb, IA vs Sugar valley, GA
Population Overview
Compare main population characteristics in Webb, IA vs Sugar valley, GA.
| Data | Webb | Sugar valley |
|---|---|---|
| Population | 141 | 8,120 |
| Median Age | 43.3 years | 38.8 years |
| Median Income | $66,250 | $68,839 |
| Married Families | 33.0% | 42.0% |
| Poverty Level | 6% | 9% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Webb vs Sugar valley
- The population in Sugar valley is higher at 8,120, compared to 141 in Webb.
- Residents in Webb have a higher median age of 43.3 years compared to 38.8 years in Sugar valley.
- Sugar valley has a higher median income of $68,839, compared to $66,250 in Webb.
- In Sugar valley, the percentage of married families is higher at 42.0%, compared to 33.0% in Webb.
- The poverty level is higher in Sugar valley at 9%, compared to 6% in Webb.
- Sugar valley has a higher unemployment rate at 3.5% compared to 2.5% in Webb.
Demographics
Demographics Webb vs Sugar valley provide insight into the diversity of the communities to compare.
| Demographic | Webb | Sugar valley |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 99 | 86 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 9 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Webb vs Sugar valley
- The percentage of Black residents is the same in both Webb and Sugar valley at 0%.
- Webb has a higher percentage of White residents at 99% compared to 86% in Sugar valley.
- In Sugar valley, the Asian population stands at 1%, greater than 0% in Webb.
- Sugar valley has a higher percentage of Hispanic residents at 9%, compared to 0% in Webb.
- The percentage of residents identifying as two or more races is higher in Sugar valley at 4%, compared to 1% in Webb.
- The percentage of American Indian residents is the same in both Webb and Sugar valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webb | Sugar valley |
|---|---|---|
| Mental Health Not Good | 15.5% | Data is updating% |
| Physical Health Not Good | 9.8% | Data is updating% |
| Depression | 19.2% | Data is updating% |
| Smoking | 17.7% | Data is updating% |
| Binge Drinking | 21.4% | Data is updating% |
| Obesity | 36.5% | Data is updating% |
| Disability Percentage | 22.0% | 16.0% |
Health Statistics Comparison: Webb vs Sugar valley
- More residents in Webb report poor mental health at 15.5% compared to 0.0% in Sugar valley.
- Depression is more prevalent in Webb at 19.2% compared to 0.0% in Sugar valley.
- Smoking is more prevalent in Webb at 17.7% compared to 0.0% in Sugar valley.
- Binge drinking is more common in Webb at 21.4% compared to 0.0% in Sugar valley.
- Obesity rates are higher in Webb at 36.5% compared to 0.0% in Sugar valley.
- Disability percentages are higher in Webb at 22.0% compared to 16.0% in Sugar valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Webb | Sugar valley |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (111) |
| High School Diploma | 19.9% (28) | 16.9% (1,371) |
| Less than High School | 11.3% (16) | 22.0% (1,784) |
| Bachelor's Degree and Higher | 8.5% (12) | 7.6% (619) |
Education Levels Comparison: Webb vs Sugar valley
- In Sugar valley, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Webb.
- A higher percentage of residents in Webb hold a high school diploma at 19.9% compared to 16.9% in Sugar valley.
- The percentage of residents with less than a high school education is higher in Sugar valley at 22.0%, compared to 11.3% in Webb.
- A higher percentage of residents in Webb hold a bachelor's degree or higher at 8.5% 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.