Demographics details for Winder, GA vs Cross plains, TX
Population Overview
Compare main population characteristics in Winder, GA vs Cross plains, TX.
| Data | Winder | Cross plains |
|---|---|---|
| Population | 19,400 | 926 |
| Median Age | 36.4 years | 28.3 years |
| Median Income | $57,365 | $48,516 |
| Married Families | 34.0% | 47.0% |
| Poverty Level | 13% | 13% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Winder vs Cross plains
- In Winder, the population is higher at 19,400, compared to 926 in Cross plains.
- Residents in Winder have a higher median age of 36.4 years compared to 28.3 years in Cross plains.
- Winder has a higher median income of $57,365 compared to $48,516 in Cross plains.
- In Cross plains, the percentage of married families is higher at 47.0%, compared to 34.0% in Winder.
- The poverty level is identical in both Winder and Cross plains at 13%.
- Cross plains has a higher unemployment rate at 4.2% compared to 3.5% in Winder.
Demographics
Demographics Winder vs Cross plains provide insight into the diversity of the communities to compare.
| Demographic | Winder | Cross plains |
|---|---|---|
| Black | 20 | Data is updating |
| White | 53 | 90 |
| Asian | 2 | Data is updating |
| Hispanic | 15 | 6 |
| Two or More Races | 10 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winder vs Cross plains
- A higher percentage of Black residents are in Winder at 20% compared to 0% in Cross plains.
- The percentage of White residents is higher in Cross plains at 90% compared to 53% in Winder.
- The Asian population is larger in Winder at 2% compared to 0% in Cross plains.
- The Hispanic community is larger in Winder at 15% compared to 6% in Cross plains.
- More residents identify as two or more races in Winder at 10% compared to 4% in Cross plains.
- The percentage of American Indian residents is the same in both Winder and Cross plains at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winder | Cross plains |
|---|---|---|
| Mental Health Not Good | 17.9% | 18.3% |
| Physical Health Not Good | 12.9% | 11.8% |
| Depression | 22.6% | 25.7% |
| Smoking | 19.8% | 18.1% |
| Binge Drinking | 15.5% | 19.6% |
| Obesity | 40.9% | 36.1% |
| Disability Percentage | 14.0% | 32.0% |
Health Statistics Comparison: Winder vs Cross plains
- In Cross plains, a higher percentage report poor mental health at 18.3% compared to 17.9% in Winder.
- Higher depression rates are seen in Cross plains at 25.7% versus 22.6% in Winder.
- Smoking is more prevalent in Winder at 19.8% compared to 18.1% in Cross plains.
- More residents engage in binge drinking in Cross plains at 19.6% compared to 15.5% in Winder.
- Obesity rates are higher in Winder at 40.9% compared to 36.1% in Cross plains.
- There is a higher percentage of disabled individuals in Cross plains at 32.0% 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 | Cross plains |
|---|---|---|
| No Schooling | 1.2% (240) | 0.1% (1) |
| High School Diploma | 15.8% (3,070) | 19.3% (179) |
| Less than High School | 14.0% (2,718) | 6.0% (56) |
| Bachelor's Degree and Higher | 13.0% (2,516) | 9.2% (85) |
Education Levels Comparison: Winder vs Cross plains
- A higher percentage of residents in Winder have no formal schooling at 1.2% compared to 0.1% in Cross plains.
- In Cross plains, the rate of residents with high school diplomas is higher at 19.3% compared to 15.8% in Winder.
- More residents in Winder have less than a high school education at 14.0% compared to 6.0% in Cross plains.
- A higher percentage of residents in Winder hold a bachelor's degree or higher at 13.0% compared to 9.2% in Cross plains.
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.