Demographics details for Lauderhill, FL vs Buda, TX
Population Overview
Compare main population characteristics in Lauderhill, FL vs Buda, TX.
| Data | Lauderhill | Buda |
|---|---|---|
| Population | 73,633 | 16,086 |
| Median Age | 37.0 years | 36.8 years |
| Median Income | $48,523 | $105,378 |
| Married Families | 28.0% | 44.0% |
| Poverty Level | 16% | 5% |
| Unemployment Rate | 3.9 | 3.2 |
Population Comparison: Lauderhill vs Buda
- In Lauderhill, the population is higher at 73,633, compared to 16,086 in Buda.
- Residents in Lauderhill have a higher median age of 37.0 years compared to 36.8 years in Buda.
- Buda has a higher median income of $105,378, compared to $48,523 in Lauderhill.
- In Buda, the percentage of married families is higher at 44.0%, compared to 28.0% in Lauderhill.
- Lauderhill has a higher poverty level at 16% compared to 5% in Buda.
- The unemployment rate in Lauderhill is higher at 3.9%, compared to 3.2% in Buda.
Demographics
Demographics Lauderhill vs Buda provide insight into the diversity of the communities to compare.
| Demographic | Lauderhill | Buda |
|---|---|---|
| Black | 80 | 1 |
| White | 3 | 59 |
| Asian | 2 | Data is updating |
| Hispanic | 9 | 30 |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lauderhill vs Buda
- A higher percentage of Black residents are in Lauderhill at 80% compared to 1% in Buda.
- The percentage of White residents is higher in Buda at 59% compared to 3% in Lauderhill.
- The Asian population is larger in Lauderhill at 2% compared to 0% in Buda.
- Buda has a higher percentage of Hispanic residents at 30%, compared to 9% in Lauderhill.
- The percentage of residents identifying as two or more races is higher in Buda at 10%, compared to 6% in Lauderhill.
- The percentage of American Indian residents is the same in both Lauderhill and Buda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lauderhill | Buda |
|---|---|---|
| Mental Health Not Good | 17.7% | 14.6% |
| Physical Health Not Good | 13.5% | 8.8% |
| Depression | 17.0% | 20.5% |
| Smoking | 22.9% | 11.4% |
| Binge Drinking | 12.1% | 20.1% |
| Obesity | 37.0% | 27.5% |
| Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: Lauderhill vs Buda
- More residents in Lauderhill report poor mental health at 17.7% compared to 14.6% in Buda.
- Higher depression rates are seen in Buda at 20.5% versus 17.0% in Lauderhill.
- Smoking is more prevalent in Lauderhill at 22.9% compared to 11.4% in Buda.
- More residents engage in binge drinking in Buda at 20.1% compared to 12.1% in Lauderhill.
- Obesity rates are higher in Lauderhill at 37.0% compared to 27.5% in Buda.
- Disability percentages are higher in Lauderhill at 12.0% 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 | Lauderhill | Buda |
|---|---|---|
| No Schooling | 2.1% (1,544) | 0.3% (49) |
| High School Diploma | 22.7% (16,679) | 10.4% (1,668) |
| Less than High School | 10.9% (8,046) | 3.3% (532) |
| Bachelor's Degree and Higher | 13.4% (9,833) | 30.8% (4,960) |
Education Levels Comparison: Lauderhill vs Buda
- A higher percentage of residents in Lauderhill have no formal schooling at 2.1% compared to 0.3% in Buda.
- A higher percentage of residents in Lauderhill hold a high school diploma at 22.7% compared to 10.4% in Buda.
- More residents in Lauderhill have less than a high school education at 10.9% 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 13.4% in Lauderhill.
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.