Demographics details for Livingston, AL vs Wheeler, WI
Population Overview
Compare main population characteristics in Livingston, AL vs Wheeler, WI.
| Data | Livingston | Wheeler |
|---|---|---|
| Population | 3,205 | 331 |
| Median Age | 21.2 years | 42.6 years |
| Median Income | $20,417 | $54,167 |
| Married Families | 19.0% | 31.0% |
| Poverty Level | 27% | 8% |
| Unemployment Rate | 4.2 | 4.0 |
Population Comparison: Livingston vs Wheeler
- In Livingston, the population is higher at 3,205, compared to 331 in Wheeler.
- The median age in Wheeler is higher at 42.6 years, compared to 21.2 years in Livingston.
- Wheeler has a higher median income of $54,167, compared to $20,417 in Livingston.
- In Wheeler, the percentage of married families is higher at 31.0%, compared to 19.0% in Livingston.
- Livingston has a higher poverty level at 27% compared to 8% in Wheeler.
- The unemployment rate in Livingston is higher at 4.2%, compared to 4.0% in Wheeler.
Demographics
Demographics Livingston vs Wheeler provide insight into the diversity of the communities to compare.
| Demographic | Livingston | Wheeler |
|---|---|---|
| Black | 58 | Data is updating |
| White | 38 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 4 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Livingston vs Wheeler
- A higher percentage of Black residents are in Livingston at 58% compared to 0% in Wheeler.
- The percentage of White residents is higher in Wheeler at 94% compared to 38% in Livingston.
- The Asian population is larger in Livingston at 1% compared to 0% in Wheeler.
- Wheeler has a higher percentage of Hispanic residents at 4%, compared to 1% in Livingston.
- Both Livingston and Wheeler have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Livingston and Wheeler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Livingston | Wheeler |
|---|---|---|
| Mental Health Not Good | 20.4% | 15.9% |
| Physical Health Not Good | 14.7% | 10.8% |
| Depression | 22.0% | 24.4% |
| Smoking | 21.5% | 17.9% |
| Binge Drinking | 12.3% | 23.6% |
| Obesity | 46.2% | 37.4% |
| Disability Percentage | 17.0% | 24.0% |
Health Statistics Comparison: Livingston vs Wheeler
- More residents in Livingston report poor mental health at 20.4% compared to 15.9% in Wheeler.
- Higher depression rates are seen in Wheeler at 24.4% versus 22.0% in Livingston.
- Smoking is more prevalent in Livingston at 21.5% compared to 17.9% in Wheeler.
- More residents engage in binge drinking in Wheeler at 23.6% compared to 12.3% in Livingston.
- Obesity rates are higher in Livingston at 46.2% compared to 37.4% in Wheeler.
- There is a higher percentage of disabled individuals in Wheeler at 24.0% compared to 17.0% in Livingston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Livingston | Wheeler |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 7.7% (248) | 18.1% (60) |
| Less than High School | 2.3% (74) | 16.3% (54) |
| Bachelor's Degree and Higher | 15.5% (496) | 3.9% (13) |
Education Levels Comparison: Livingston vs Wheeler
- The percentage of residents with no formal schooling is the same in both Livingston and Wheeler at 0.0%.
- In Wheeler, the rate of residents with high school diplomas is higher at 18.1% compared to 7.7% in Livingston.
- The percentage of residents with less than a high school education is higher in Wheeler at 16.3%, compared to 2.3% in Livingston.
- A higher percentage of residents in Livingston hold a bachelor's degree or higher at 15.5% compared to 3.9% in Wheeler.
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.