Demographics details for Westmoreland, TN vs Buda, TX
Population Overview
Compare main population characteristics in Westmoreland, TN vs Buda, TX.
| Data | Westmoreland | Buda |
|---|---|---|
| Population | 2,757 | 16,086 |
| Median Age | 36.8 years | 36.8 years |
| Median Income | $58,194 | $105,378 |
| Married Families | 40.0% | 44.0% |
| Poverty Level | 8% | 5% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Westmoreland vs Buda
- The population in Buda is higher at 16,086, compared to 2,757 in Westmoreland.
- The median age is the same in both Westmoreland and Buda at 36.8 years.
- Buda has a higher median income of $105,378, compared to $58,194 in Westmoreland.
- In Buda, the percentage of married families is higher at 44.0%, compared to 40.0% in Westmoreland.
- Westmoreland has a higher poverty level at 8% compared to 5% in Buda.
- The unemployment rate in Westmoreland is higher at 3.5%, compared to 3.2% in Buda.
Demographics
Demographics Westmoreland vs Buda provide insight into the diversity of the communities to compare.
| Demographic | Westmoreland | Buda |
|---|---|---|
| Black | Data is updating | 1 |
| White | 92 | 59 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 30 |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Westmoreland vs Buda
- In Buda, the percentage of Black residents is higher at 1% compared to 0% in Westmoreland.
- Westmoreland has a higher percentage of White residents at 92% compared to 59% in Buda.
- Both Westmoreland and Buda have the same percentage of Asian residents at 0%.
- Buda has a higher percentage of Hispanic residents at 30%, compared to 2% in Westmoreland.
- The percentage of residents identifying as two or more races is higher in Buda at 10%, compared to 6% in Westmoreland.
- The percentage of American Indian residents is the same in both Westmoreland and Buda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Westmoreland | Buda |
|---|---|---|
| Mental Health Not Good | 21.8% | 14.6% |
| Physical Health Not Good | 15.7% | 8.8% |
| Depression | 31.4% | 20.5% |
| Smoking | 26.7% | 11.4% |
| Binge Drinking | 14.6% | 20.1% |
| Obesity | 38.6% | 27.5% |
| Disability Percentage | 15.0% | 8.0% |
Health Statistics Comparison: Westmoreland vs Buda
- More residents in Westmoreland report poor mental health at 21.8% compared to 14.6% in Buda.
- Depression is more prevalent in Westmoreland at 31.4% compared to 20.5% in Buda.
- Smoking is more prevalent in Westmoreland at 26.7% compared to 11.4% in Buda.
- More residents engage in binge drinking in Buda at 20.1% compared to 14.6% in Westmoreland.
- Obesity rates are higher in Westmoreland at 38.6% compared to 27.5% in Buda.
- Disability percentages are higher in Westmoreland at 15.0% compared to 8.0% in Buda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Westmoreland | Buda |
|---|---|---|
| No Schooling | 0.4% (10) | 0.3% (49) |
| High School Diploma | 25.0% (690) | 10.4% (1,668) |
| Less than High School | 20.9% (577) | 3.3% (532) |
| Bachelor's Degree and Higher | 6.3% (173) | 30.8% (4,960) |
Education Levels Comparison: Westmoreland vs Buda
- A higher percentage of residents in Westmoreland have no formal schooling at 0.4% compared to 0.3% in Buda.
- A higher percentage of residents in Westmoreland hold a high school diploma at 25.0% compared to 10.4% in Buda.
- More residents in Westmoreland have less than a high school education at 20.9% compared to 3.3% in Buda.
- In Buda, a larger share of residents have a bachelor's degree or higher at 30.8% compared to 6.3% in Westmoreland.
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.