Demographics details for Winder, GA vs Mount juliet, TN
Population Overview
Compare main population characteristics in Winder, GA vs Mount juliet, TN.
| Data | Winder | Mount juliet |
|---|---|---|
| Population | 19,400 | 42,548 |
| Median Age | 36.4 years | 39.2 years |
| Median Income | $57,365 | $108,066 |
| Married Families | 34.0% | 45.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 3.5 | 2.8 |
Population Comparison: Winder vs Mount juliet
- The population in Mount juliet is higher at 42,548, compared to 19,400 in Winder.
- The median age in Mount juliet is higher at 39.2 years, compared to 36.4 years in Winder.
- Mount juliet has a higher median income of $108,066, compared to $57,365 in Winder.
- In Mount juliet, the percentage of married families is higher at 45.0%, compared to 34.0% in Winder.
- Winder has a higher poverty level at 13% compared to 5% in Mount juliet.
- The unemployment rate in Winder is higher at 3.5%, compared to 2.8% in Mount juliet.
Demographics
Demographics Winder vs Mount juliet provide insight into the diversity of the communities to compare.
| Demographic | Winder | Mount juliet |
|---|---|---|
| Black | 20 | 7 |
| White | 53 | 79 |
| Asian | 2 | 4 |
| Hispanic | 15 | 6 |
| Two or More Races | 10 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winder vs Mount juliet
- A higher percentage of Black residents are in Winder at 20% compared to 7% in Mount juliet.
- The percentage of White residents is higher in Mount juliet at 79% compared to 53% in Winder.
- In Mount juliet, the Asian population stands at 4%, greater than 2% in Winder.
- The Hispanic community is larger in Winder at 15% compared to 6% in Mount juliet.
- More residents identify as two or more races in Winder at 10% compared to 4% in Mount juliet.
- The percentage of American Indian residents is the same in both Winder and Mount juliet at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winder | Mount juliet |
|---|---|---|
| Mental Health Not Good | 17.9% | 16.0% |
| Physical Health Not Good | 12.9% | 10.0% |
| Depression | 22.6% | 25.7% |
| Smoking | 19.8% | 15.2% |
| Binge Drinking | 15.5% | 16.8% |
| Obesity | 40.9% | 29.9% |
| Disability Percentage | 14.0% | 7.0% |
Health Statistics Comparison: Winder vs Mount juliet
- More residents in Winder report poor mental health at 17.9% compared to 16.0% in Mount juliet.
- Higher depression rates are seen in Mount juliet at 25.7% versus 22.6% in Winder.
- Smoking is more prevalent in Winder at 19.8% compared to 15.2% in Mount juliet.
- More residents engage in binge drinking in Mount juliet at 16.8% compared to 15.5% in Winder.
- Obesity rates are higher in Winder at 40.9% compared to 29.9% in Mount juliet.
- Disability percentages are higher in Winder at 14.0% compared to 7.0% in Mount juliet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winder | Mount juliet |
|---|---|---|
| No Schooling | 1.2% (240) | 0.4% (173) |
| High School Diploma | 15.8% (3,070) | 10.4% (4,408) |
| Less than High School | 14.0% (2,718) | 3.9% (1,653) |
| Bachelor's Degree and Higher | 13.0% (2,516) | 29.4% (12,510) |
Education Levels Comparison: Winder vs Mount juliet
- A higher percentage of residents in Winder have no formal schooling at 1.2% compared to 0.4% in Mount juliet.
- A higher percentage of residents in Winder hold a high school diploma at 15.8% compared to 10.4% in Mount juliet.
- More residents in Winder have less than a high school education at 14.0% compared to 3.9% in Mount juliet.
- In Mount juliet, a larger share of residents have a bachelor's degree or higher at 29.4% compared to 13.0% in Winder.
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.