Demographics details for Lake leelanau, MI vs Buda, TX
Population Overview
Compare main population characteristics in Lake leelanau, MI vs Buda, TX.
| Data | Lake leelanau | Buda |
|---|---|---|
| Population | 165 | 16,086 |
| Median Age | 27.9 years | 36.8 years |
| Median Income | $48,125 | $105,378 |
| Married Families | 32.0% | 44.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Lake leelanau vs Buda
- The population in Buda is higher at 16,086, compared to 165 in Lake leelanau.
- The median age in Buda is higher at 36.8 years, compared to 27.9 years in Lake leelanau.
- Buda has a higher median income of $105,378, compared to $48,125 in Lake leelanau.
- In Buda, the percentage of married families is higher at 44.0%, compared to 32.0% in Lake leelanau.
- Lake leelanau has a higher poverty level at 9% compared to 5% in Buda.
- The unemployment rate in Lake leelanau is higher at 4.1%, compared to 3.2% in Buda.
Demographics
Demographics Lake leelanau vs Buda provide insight into the diversity of the communities to compare.
| Demographic | Lake leelanau | Buda |
|---|---|---|
| Black | Data is updating | 1 |
| White | 100 | 59 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 30 |
| Two or More Races | Data is updating | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lake leelanau vs Buda
- In Buda, the percentage of Black residents is higher at 1% compared to 0% in Lake leelanau.
- Lake leelanau has a higher percentage of White residents at 100% compared to 59% in Buda.
- Both Lake leelanau and Buda have the same percentage of Asian residents at 0%.
- Buda has a higher percentage of Hispanic residents at 30%, compared to 0% in Lake leelanau.
- The percentage of residents identifying as two or more races is higher in Buda at 10%, compared to 0% in Lake leelanau.
- The percentage of American Indian residents is the same in both Lake leelanau and Buda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lake leelanau | Buda |
|---|---|---|
| Mental Health Not Good | 14.4% | 14.6% |
| Physical Health Not Good | 8.4% | 8.8% |
| Depression | 22.5% | 20.5% |
| Smoking | 12.5% | 11.4% |
| Binge Drinking | 18.9% | 20.1% |
| Obesity | 31.7% | 27.5% |
| Disability Percentage | 24.0% | 8.0% |
Health Statistics Comparison: Lake leelanau vs Buda
- In Buda, a higher percentage report poor mental health at 14.6% compared to 14.4% in Lake leelanau.
- Depression is more prevalent in Lake leelanau at 22.5% compared to 20.5% in Buda.
- Smoking is more prevalent in Lake leelanau at 12.5% compared to 11.4% in Buda.
- More residents engage in binge drinking in Buda at 20.1% compared to 18.9% in Lake leelanau.
- Obesity rates are higher in Lake leelanau at 31.7% compared to 27.5% in Buda.
- Disability percentages are higher in Lake leelanau at 24.0% 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 | Lake leelanau | Buda |
|---|---|---|
| No Schooling | 2.4% (4) | 0.3% (49) |
| High School Diploma | 13.3% (22) | 10.4% (1,668) |
| Less than High School | 4.8% (8) | 3.3% (532) |
| Bachelor's Degree and Higher | 13.9% (23) | 30.8% (4,960) |
Education Levels Comparison: Lake leelanau vs Buda
- A higher percentage of residents in Lake leelanau have no formal schooling at 2.4% compared to 0.3% in Buda.
- A higher percentage of residents in Lake leelanau hold a high school diploma at 13.3% compared to 10.4% in Buda.
- More residents in Lake leelanau have less than a high school education at 4.8% 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 13.9% in Lake leelanau.
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.