Demographics details for Winder, GA vs Hancock, NH
Population Overview
Compare main population characteristics in Winder, GA vs Hancock, NH.
| Data | Winder | Hancock |
|---|---|---|
| Population | 19,400 | 1,654 |
| Median Age | 36.4 years | 50.0 years |
| Median Income | $57,365 | $85,000 |
| Married Families | 34.0% | 60.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Winder vs Hancock
- In Winder, the population is higher at 19,400, compared to 1,654 in Hancock.
- The median age in Hancock is higher at 50.0 years, compared to 36.4 years in Winder.
- Hancock has a higher median income of $85,000, compared to $57,365 in Winder.
- In Hancock, the percentage of married families is higher at 60.0%, compared to 34.0% in Winder.
- Winder has a higher poverty level at 13% compared to 5% in Hancock.
- The unemployment rate in Winder is higher at 3.5%, compared to 2.5% in Hancock.
Demographics
Demographics Winder vs Hancock provide insight into the diversity of the communities to compare.
| Demographic | Winder | Hancock |
|---|---|---|
| Black | 20 | Data is updating |
| White | 53 | 95 |
| Asian | 2 | 2 |
| Hispanic | 15 | Data is updating |
| Two or More Races | 10 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winder vs Hancock
- A higher percentage of Black residents are in Winder at 20% compared to 0% in Hancock.
- The percentage of White residents is higher in Hancock at 95% compared to 53% in Winder.
- Both Winder and Hancock have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Winder at 15% compared to 0% in Hancock.
- More residents identify as two or more races in Winder at 10% compared to 3% in Hancock.
- The percentage of American Indian residents is the same in both Winder and Hancock at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winder | Hancock |
|---|---|---|
| Mental Health Not Good | 17.9% | Data is updating% |
| Physical Health Not Good | 12.9% | Data is updating% |
| Depression | 22.6% | Data is updating% |
| Smoking | 19.8% | Data is updating% |
| Binge Drinking | 15.5% | Data is updating% |
| Obesity | 40.9% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Winder vs Hancock
- More residents in Winder report poor mental health at 17.9% compared to 0.0% in Hancock.
- Depression is more prevalent in Winder at 22.6% compared to 0.0% in Hancock.
- Smoking is more prevalent in Winder at 19.8% compared to 0.0% in Hancock.
- Binge drinking is more common in Winder at 15.5% compared to 0.0% in Hancock.
- Obesity rates are higher in Winder at 40.9% compared to 0.0% in Hancock.
- Disability percentages are higher in Winder at 14.0% compared to 0.0% in Hancock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winder | Hancock |
|---|---|---|
| No Schooling | 1.2% (240) | 0.0% (Data is updating) |
| High School Diploma | 15.8% (3,070) | 0.0% (Data is updating) |
| Less than High School | 14.0% (2,718) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 13.0% (2,516) | 0.0% (Data is updating) |
Education Levels Comparison: Winder vs Hancock
- A higher percentage of residents in Winder have no formal schooling at 1.2% compared to 0.0% in Hancock.
- A higher percentage of residents in Winder hold a high school diploma at 15.8% compared to 0.0% in Hancock.
- More residents in Winder have less than a high school education at 14.0% compared to 0.0% in Hancock.
- A higher percentage of residents in Winder hold a bachelor's degree or higher at 13.0% compared to 0.0% in Hancock.
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.