Demographics details for Girdletree, MD vs Winona, MS
Population Overview
Compare main population characteristics in Girdletree, MD vs Winona, MS.
| Data | Girdletree | Winona |
|---|---|---|
| Population | 122 | 4,159 |
| Median Age | 57.4 years | 33.7 years |
| Median Income | $129,167 | $26,250 |
| Married Families | 50.0% | 21.0% |
| Poverty Level | Data is updating | 24% |
| Unemployment Rate | Data is updating | 3.6 |
Population Comparison: Girdletree vs Winona
- The population in Winona is higher at 4,159, compared to 122 in Girdletree.
- Residents in Girdletree have a higher median age of 57.4 years compared to 33.7 years in Winona.
- Girdletree has a higher median income of $129,167 compared to $26,250 in Winona.
- A higher percentage of married families is found in Girdletree at 50.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 0% in Girdletree.
- Winona has a higher unemployment rate at 3.6% compared to 0.0% in Girdletree.
Demographics
Demographics Girdletree vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Girdletree | Winona |
|---|---|---|
| Black | Data is updating | 62 |
| White | 89 | 38 |
| Asian | 11 | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Girdletree vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 0% in Girdletree.
- Girdletree has a higher percentage of White residents at 89% compared to 38% in Winona.
- The Asian population is larger in Girdletree at 11% compared to 0% in Winona.
- The percentage of Hispanic residents is the same in both Girdletree and Winona at 0%.
- Both Girdletree and Winona have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Girdletree and Winona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Girdletree | Winona |
|---|---|---|
| Mental Health Not Good | 16.7% | 19.3% |
| Physical Health Not Good | 10.6% | 15.0% |
| Depression | 20.8% | 22.3% |
| Smoking | 18.7% | 24.8% |
| Binge Drinking | 18.8% | 11.8% |
| Obesity | 39.6% | 46.4% |
| Disability Percentage | 8.0% | 25.0% |
Health Statistics Comparison: Girdletree vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 16.7% in Girdletree.
- Higher depression rates are seen in Winona at 22.3% versus 20.8% in Girdletree.
- Winona has a higher smoking rate at 24.8% compared to 18.7% in Girdletree.
- Binge drinking is more common in Girdletree at 18.8% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 39.6% in Girdletree.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 8.0% in Girdletree.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Girdletree | Winona |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.1% (87) |
| High School Diploma | 44.3% (54) | 11.4% (473) |
| Less than High School | 19.7% (24) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 5.7% (7) | 9.3% (388) |
Education Levels Comparison: Girdletree vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Girdletree.
- A higher percentage of residents in Girdletree hold a high school diploma at 44.3% compared to 11.4% in Winona.
- The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 19.7% in Girdletree.
- In Winona, a larger share of residents have a bachelor's degree or higher at 9.3% compared to 5.7% in Girdletree.
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.