Demographics details for Sweetwater, TX vs Langston, AL
Population Overview
Compare main population characteristics in Sweetwater, TX vs Langston, AL.
| Data | Sweetwater | Langston |
|---|---|---|
| Population | 10,408 | 267 |
| Median Age | 35.7 years | 56.9 years |
| Median Income | $44,306 | $53,333 |
| Married Families | 32.0% | 61.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 5.4 | 4.0 |
Population Comparison: Sweetwater vs Langston
- In Sweetwater, the population is higher at 10,408, compared to 267 in Langston.
- The median age in Langston is higher at 56.9 years, compared to 35.7 years in Sweetwater.
- Langston has a higher median income of $53,333, compared to $44,306 in Sweetwater.
- In Langston, the percentage of married families is higher at 61.0%, compared to 32.0% in Sweetwater.
- Sweetwater has a higher poverty level at 15% compared to 8% in Langston.
- The unemployment rate in Sweetwater is higher at 5.4%, compared to 4.0% in Langston.
Demographics
Demographics Sweetwater vs Langston provide insight into the diversity of the communities to compare.
| Demographic | Sweetwater | Langston |
|---|---|---|
| Black | 6 | 1 |
| White | 34 | 96 |
| Asian | Data is updating | Data is updating |
| Hispanic | 46 | 3 |
| Two or More Races | 13 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sweetwater vs Langston
- A higher percentage of Black residents are in Sweetwater at 6% compared to 1% in Langston.
- The percentage of White residents is higher in Langston at 96% compared to 34% in Sweetwater.
- Both Sweetwater and Langston have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Sweetwater at 46% compared to 3% in Langston.
- More residents identify as two or more races in Sweetwater at 13% compared to 0% in Langston.
- A greater percentage of American Indian residents live in Sweetwater at 1% compared to 0% in Langston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sweetwater | Langston |
|---|---|---|
| Mental Health Not Good | 19.1% | 21.0% |
| Physical Health Not Good | 14.3% | 14.7% |
| Depression | 24.2% | 26.1% |
| Smoking | 20.3% | 23.1% |
| Binge Drinking | 17.3% | 15.3% |
| Obesity | 38.9% | 38.3% |
| Disability Percentage | 21.0% | 15.0% |
Health Statistics Comparison: Sweetwater vs Langston
- In Langston, a higher percentage report poor mental health at 21.0% compared to 19.1% in Sweetwater.
- Higher depression rates are seen in Langston at 26.1% versus 24.2% in Sweetwater.
- Langston has a higher smoking rate at 23.1% compared to 20.3% in Sweetwater.
- Binge drinking is more common in Sweetwater at 17.3% compared to 15.3% in Langston.
- Obesity rates are higher in Sweetwater at 38.9% compared to 38.3% in Langston.
- Disability percentages are higher in Sweetwater at 21.0% compared to 15.0% in Langston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sweetwater | Langston |
|---|---|---|
| No Schooling | 1.9% (194) | 1.9% (5) |
| High School Diploma | 16.0% (1,666) | 22.1% (59) |
| Less than High School | 23.1% (2,408) | 18.7% (50) |
| Bachelor's Degree and Higher | 7.0% (733) | 17.6% (47) |
Education Levels Comparison: Sweetwater vs Langston
- The percentage of residents with no formal schooling is the same in both Sweetwater and Langston at 1.9%.
- In Langston, the rate of residents with high school diplomas is higher at 22.1% compared to 16.0% in Sweetwater.
- More residents in Sweetwater have less than a high school education at 23.1% compared to 18.7% in Langston.
- In Langston, a larger share of residents have a bachelor's degree or higher at 17.6% compared to 7.0% in Sweetwater.
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.