Demographics details for Taylor, TX vs Sugar valley, GA
Population Overview
Compare main population characteristics in Taylor, TX vs Sugar valley, GA.
| Data | Taylor | Sugar valley |
|---|---|---|
| Population | 16,975 | 8,120 |
| Median Age | 40.6 years | 38.8 years |
| Median Income | $66,626 | $68,839 |
| Married Families | 38.0% | 42.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Taylor vs Sugar valley
- In Taylor, the population is higher at 16,975, compared to 8,120 in Sugar valley.
- Residents in Taylor have a higher median age of 40.6 years compared to 38.8 years in Sugar valley.
- Sugar valley has a higher median income of $68,839, compared to $66,626 in Taylor.
- In Sugar valley, the percentage of married families is higher at 42.0%, compared to 38.0% in Taylor.
- Taylor has a higher poverty level at 10% compared to 9% in Sugar valley.
- The unemployment rate is the same in both Taylor and Sugar valley at 3.5%.
Demographics
Demographics Taylor vs Sugar valley provide insight into the diversity of the communities to compare.
| Demographic | Taylor | Sugar valley |
|---|---|---|
| Black | 8 | Data is updating |
| White | 30 | 86 |
| Asian | 1 | 1 |
| Hispanic | 41 | 9 |
| Two or More Races | 19 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Taylor vs Sugar valley
- A higher percentage of Black residents are in Taylor at 8% compared to 0% in Sugar valley.
- The percentage of White residents is higher in Sugar valley at 86% compared to 30% in Taylor.
- Both Taylor and Sugar valley have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Taylor at 41% compared to 9% in Sugar valley.
- More residents identify as two or more races in Taylor at 19% compared to 4% in Sugar valley.
- A greater percentage of American Indian residents live in Taylor at 1% compared to 0% in Sugar valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Taylor | Sugar valley |
|---|---|---|
| Mental Health Not Good | 17.9% | Data is updating% |
| Physical Health Not Good | 12.4% | Data is updating% |
| Depression | 25.4% | Data is updating% |
| Smoking | 16.6% | Data is updating% |
| Binge Drinking | 15.6% | Data is updating% |
| Obesity | 38.0% | Data is updating% |
| Disability Percentage | 17.0% | 16.0% |
Health Statistics Comparison: Taylor vs Sugar valley
- More residents in Taylor report poor mental health at 17.9% compared to 0.0% in Sugar valley.
- Depression is more prevalent in Taylor at 25.4% compared to 0.0% in Sugar valley.
- Smoking is more prevalent in Taylor at 16.6% compared to 0.0% in Sugar valley.
- Binge drinking is more common in Taylor at 15.6% compared to 0.0% in Sugar valley.
- Obesity rates are higher in Taylor at 38.0% compared to 0.0% in Sugar valley.
- Disability percentages are higher in Taylor at 17.0% 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 | Taylor | Sugar valley |
|---|---|---|
| No Schooling | 0.8% (135) | 1.4% (111) |
| High School Diploma | 20.9% (3,551) | 16.9% (1,371) |
| Less than High School | 20.6% (3,497) | 22.0% (1,784) |
| Bachelor's Degree and Higher | 11.1% (1,886) | 7.6% (619) |
Education Levels Comparison: Taylor vs Sugar valley
- In Sugar valley, a larger percentage of residents lack formal schooling at 1.4% compared to 0.8% in Taylor.
- A higher percentage of residents in Taylor hold a high school diploma at 20.9% 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 20.6% in Taylor.
- A higher percentage of residents in Taylor hold a bachelor's degree or higher at 11.1% 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.