Demographics details for Winder, GA vs Mount clemens, MI
Population Overview
Compare main population characteristics in Winder, GA vs Mount clemens, MI.
| Data | Winder | Mount clemens |
|---|---|---|
| Population | 19,400 | 15,409 |
| Median Age | 36.4 years | 40.2 years |
| Median Income | $57,365 | $55,154 |
| Married Families | 34.0% | 30.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Winder vs Mount clemens
- In Winder, the population is higher at 19,400, compared to 15,409 in Mount clemens.
- The median age in Mount clemens is higher at 40.2 years, compared to 36.4 years in Winder.
- Winder has a higher median income of $57,365 compared to $55,154 in Mount clemens.
- A higher percentage of married families is found in Winder at 34.0% compared to 30.0% in Mount clemens.
- Winder has a higher poverty level at 13% compared to 12% in Mount clemens.
- The unemployment rate is the same in both Winder and Mount clemens at 3.5%.
Demographics
Demographics Winder vs Mount clemens provide insight into the diversity of the communities to compare.
| Demographic | Winder | Mount clemens |
|---|---|---|
| Black | 20 | 24 |
| White | 53 | 65 |
| Asian | 2 | Data is updating |
| Hispanic | 15 | 3 |
| Two or More Races | 10 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winder vs Mount clemens
- In Mount clemens, the percentage of Black residents is higher at 24% compared to 20% in Winder.
- The percentage of White residents is higher in Mount clemens at 65% compared to 53% in Winder.
- The Asian population is larger in Winder at 2% compared to 0% in Mount clemens.
- The Hispanic community is larger in Winder at 15% compared to 3% in Mount clemens.
- More residents identify as two or more races in Winder at 10% compared to 8% in Mount clemens.
- The percentage of American Indian residents is the same in both Winder and Mount clemens at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winder | Mount clemens |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.9% |
| Physical Health Not Good | 12.9% | 14.1% |
| Depression | 22.6% | 25.8% |
| Smoking | 19.8% | 25.2% |
| Binge Drinking | 15.5% | 16.9% |
| Obesity | 40.9% | 42.7% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Winder vs Mount clemens
- In Mount clemens, a higher percentage report poor mental health at 19.9% compared to 17.9% in Winder.
- Higher depression rates are seen in Mount clemens at 25.8% versus 22.6% in Winder.
- Mount clemens has a higher smoking rate at 25.2% compared to 19.8% in Winder.
- More residents engage in binge drinking in Mount clemens at 16.9% compared to 15.5% in Winder.
- Mount clemens has higher obesity rates at 42.7% compared to 40.9% in Winder.
- Disability percentages are the same in both Winder and Mount clemens at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winder | Mount clemens |
|---|---|---|
| No Schooling | 1.2% (240) | 1.4% (222) |
| High School Diploma | 15.8% (3,070) | 22.3% (3,437) |
| Less than High School | 14.0% (2,718) | 16.6% (2,554) |
| Bachelor's Degree and Higher | 13.0% (2,516) | 12.1% (1,867) |
Education Levels Comparison: Winder vs Mount clemens
- In Mount clemens, a larger percentage of residents lack formal schooling at 1.4% compared to 1.2% in Winder.
- In Mount clemens, the rate of residents with high school diplomas is higher at 22.3% compared to 15.8% in Winder.
- The percentage of residents with less than a high school education is higher in Mount clemens at 16.6%, 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 12.1% in Mount clemens.
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.