Demographics details for Kimmell, IN vs Girdletree, MD
Population Overview
Compare main population characteristics in Kimmell, IN vs Girdletree, MD.
| Data | Kimmell | Girdletree |
|---|---|---|
| Population | 453 | 122 |
| Median Age | 37.4 years | 57.4 years |
| Median Income | $36,667 | $129,167 |
| Married Families | 30.0% | 50.0% |
| Poverty Level | 8% | Data is updating |
| Unemployment Rate | 3.2 | Data is updating |
Population Comparison: Kimmell vs Girdletree
- In Kimmell, the population is higher at 453, compared to 122 in Girdletree.
- The median age in Girdletree is higher at 57.4 years, compared to 37.4 years in Kimmell.
- Girdletree has a higher median income of $129,167, compared to $36,667 in Kimmell.
- In Girdletree, the percentage of married families is higher at 50.0%, compared to 30.0% in Kimmell.
- Kimmell has a higher poverty level at 8% compared to 0% in Girdletree.
- The unemployment rate in Kimmell is higher at 3.2%, compared to 0.0% in Girdletree.
Demographics
Demographics Kimmell vs Girdletree provide insight into the diversity of the communities to compare.
| Demographic | Kimmell | Girdletree |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 89 |
| Asian | Data is updating | 11 |
| 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: Kimmell vs Girdletree
- The percentage of Black residents is the same in both Kimmell and Girdletree at 0%.
- Kimmell has a higher percentage of White residents at 100% compared to 89% in Girdletree.
- In Girdletree, the Asian population stands at 11%, greater than 0% in Kimmell.
- The percentage of Hispanic residents is the same in both Kimmell and Girdletree at 0%.
- Both Kimmell and Girdletree 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 Kimmell and Girdletree at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kimmell | Girdletree |
|---|---|---|
| Mental Health Not Good | 16.7% | 16.7% |
| Physical Health Not Good | 11.3% | 10.6% |
| Depression | 26.2% | 20.8% |
| Smoking | 19.2% | 18.7% |
| Binge Drinking | 17.4% | 18.8% |
| Obesity | 39.8% | 39.6% |
| Disability Percentage | 18.0% | 8.0% |
Health Statistics Comparison: Kimmell vs Girdletree
- Poor mental health levels are equal in both Kimmell and Girdletree at 16.7%.
- Depression is more prevalent in Kimmell at 26.2% compared to 20.8% in Girdletree.
- Smoking is more prevalent in Kimmell at 19.2% compared to 18.7% in Girdletree.
- More residents engage in binge drinking in Girdletree at 18.8% compared to 17.4% in Kimmell.
- Obesity rates are higher in Kimmell at 39.8% compared to 39.6% in Girdletree.
- Disability percentages are higher in Kimmell at 18.0% 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 | Kimmell | Girdletree |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 28.7% (130) | 44.3% (54) |
| Less than High School | 41.5% (188) | 19.7% (24) |
| Bachelor's Degree and Higher | 2.0% (9) | 5.7% (7) |
Education Levels Comparison: Kimmell vs Girdletree
- The percentage of residents with no formal schooling is the same in both Kimmell and Girdletree at 0.0%.
- In Girdletree, the rate of residents with high school diplomas is higher at 44.3% compared to 28.7% in Kimmell.
- More residents in Kimmell have less than a high school education at 41.5% compared to 19.7% in Girdletree.
- In Girdletree, a larger share of residents have a bachelor's degree or higher at 5.7% compared to 2.0% in Kimmell.
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.