Demographics details for Sugar land, TX vs Butler, GA
Population Overview
Compare main population characteristics in Sugar land, TX vs Butler, GA.
| Data | Sugar land | Butler |
|---|---|---|
| Population | 109,414 | 1,827 |
| Median Age | 42.5 years | 33.5 years |
| Median Income | $132,247 | $27,656 |
| Married Families | 52.0% | 24.0% |
| Poverty Level | 6% | 20% |
| Unemployment Rate | 4.0 | 4.5 |
Population Comparison: Sugar land vs Butler
- In Sugar land, the population is higher at 109,414, compared to 1,827 in Butler.
- Residents in Sugar land have a higher median age of 42.5 years compared to 33.5 years in Butler.
- Sugar land has a higher median income of $132,247 compared to $27,656 in Butler.
- A higher percentage of married families is found in Sugar land at 52.0% compared to 24.0% in Butler.
- The poverty level is higher in Butler at 20%, compared to 6% in Sugar land.
- Butler has a higher unemployment rate at 4.5% compared to 4.0% in Sugar land.
Demographics
Demographics Sugar land vs Butler provide insight into the diversity of the communities to compare.
| Demographic | Sugar land | Butler |
|---|---|---|
| Black | 7 | 70 |
| White | 33 | 22 |
| Asian | 39 | 2 |
| Hispanic | 13 | 2 |
| Two or More Races | 8 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sugar land vs Butler
- In Butler, the percentage of Black residents is higher at 70% compared to 7% in Sugar land.
- Sugar land has a higher percentage of White residents at 33% compared to 22% in Butler.
- The Asian population is larger in Sugar land at 39% compared to 2% in Butler.
- The Hispanic community is larger in Sugar land at 13% compared to 2% in Butler.
- More residents identify as two or more races in Sugar land at 8% compared to 4% in Butler.
- The percentage of American Indian residents is the same in both Sugar land and Butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sugar land | Butler |
|---|---|---|
| Mental Health Not Good | 12.5% | 21.2% |
| Physical Health Not Good | 7.4% | 16.9% |
| Depression | 16.9% | 23.4% |
| Smoking | 9.6% | 25.7% |
| Binge Drinking | 16.0% | 12.7% |
| Obesity | 25.0% | 46.9% |
| Disability Percentage | 7.0% | 17.0% |
Health Statistics Comparison: Sugar land vs Butler
- In Butler, a higher percentage report poor mental health at 21.2% compared to 12.5% in Sugar land.
- Higher depression rates are seen in Butler at 23.4% versus 16.9% in Sugar land.
- Butler has a higher smoking rate at 25.7% compared to 9.6% in Sugar land.
- Binge drinking is more common in Sugar land at 16.0% compared to 12.7% in Butler.
- Butler has higher obesity rates at 46.9% compared to 25.0% in Sugar land.
- There is a higher percentage of disabled individuals in Butler at 17.0% compared to 7.0% in Sugar land.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sugar land | Butler |
|---|---|---|
| No Schooling | 1.2% (1,314) | 0.2% (4) |
| High School Diploma | 7.3% (7,972) | 28.5% (520) |
| Less than High School | 4.3% (4,753) | 23.9% (436) |
| Bachelor's Degree and Higher | 42.8% (46,851) | 8.0% (147) |
Education Levels Comparison: Sugar land vs Butler
- A higher percentage of residents in Sugar land have no formal schooling at 1.2% compared to 0.2% in Butler.
- In Butler, the rate of residents with high school diplomas is higher at 28.5% compared to 7.3% in Sugar land.
- The percentage of residents with less than a high school education is higher in Butler at 23.9%, compared to 4.3% in Sugar land.
- A higher percentage of residents in Sugar land hold a bachelor's degree or higher at 42.8% compared to 8.0% in Butler.
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.