Demographics details for Winder, GA vs Lebanon, MO
Population Overview
Compare main population characteristics in Winder, GA vs Lebanon, MO.
| Data | Winder | Lebanon |
|---|---|---|
| Population | 19,400 | 15,232 |
| Median Age | 36.4 years | 35.1 years |
| Median Income | $57,365 | $45,634 |
| Married Families | 34.0% | 33.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Winder vs Lebanon
- In Winder, the population is higher at 19,400, compared to 15,232 in Lebanon.
- Residents in Winder have a higher median age of 36.4 years compared to 35.1 years in Lebanon.
- Winder has a higher median income of $57,365 compared to $45,634 in Lebanon.
- A higher percentage of married families is found in Winder at 34.0% compared to 33.0% in Lebanon.
- Winder has a higher poverty level at 13% compared to 12% in Lebanon.
- The unemployment rate is the same in both Winder and Lebanon at 3.5%.
Demographics
Demographics Winder vs Lebanon provide insight into the diversity of the communities to compare.
| Demographic | Winder | Lebanon |
|---|---|---|
| Black | 20 | 1 |
| White | 53 | 87 |
| Asian | 2 | 1 |
| Hispanic | 15 | 4 |
| Two or More Races | 10 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Winder vs Lebanon
- A higher percentage of Black residents are in Winder at 20% compared to 1% in Lebanon.
- The percentage of White residents is higher in Lebanon at 87% compared to 53% in Winder.
- The Asian population is larger in Winder at 2% compared to 1% in Lebanon.
- The Hispanic community is larger in Winder at 15% compared to 4% in Lebanon.
- More residents identify as two or more races in Winder at 10% compared to 6% in Lebanon.
- In Lebanon, the percentage of American Indian residents is higher at 1%, compared to 0% in Winder.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winder | Lebanon |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.4% |
| Physical Health Not Good | 12.9% | 14.1% |
| Depression | 22.6% | 24.9% |
| Smoking | 19.8% | 23.6% |
| Binge Drinking | 15.5% | 16.5% |
| Obesity | 40.9% | 38.8% |
| Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Winder vs Lebanon
- In Lebanon, a higher percentage report poor mental health at 19.4% compared to 17.9% in Winder.
- Higher depression rates are seen in Lebanon at 24.9% versus 22.6% in Winder.
- Lebanon has a higher smoking rate at 23.6% compared to 19.8% in Winder.
- More residents engage in binge drinking in Lebanon at 16.5% compared to 15.5% in Winder.
- Obesity rates are higher in Winder at 40.9% compared to 38.8% in Lebanon.
- There is a higher percentage of disabled individuals in Lebanon at 19.0% compared to 14.0% in Winder.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winder | Lebanon |
|---|---|---|
| No Schooling | 1.2% (240) | 0.6% (90) |
| High School Diploma | 15.8% (3,070) | 18.8% (2,870) |
| Less than High School | 14.0% (2,718) | 18.3% (2,795) |
| Bachelor's Degree and Higher | 13.0% (2,516) | 11.2% (1,707) |
Education Levels Comparison: Winder vs Lebanon
- A higher percentage of residents in Winder have no formal schooling at 1.2% compared to 0.6% in Lebanon.
- In Lebanon, the rate of residents with high school diplomas is higher at 18.8% compared to 15.8% in Winder.
- The percentage of residents with less than a high school education is higher in Lebanon at 18.3%, compared to 14.0% in Winder.
- A higher percentage of residents in Winder hold a bachelor's degree or higher at 13.0% compared to 11.2% in Lebanon.
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.