Demographics details for Elk horn, IA vs Woodbine, MD
Population Overview
Compare main population characteristics in Elk horn, IA vs Woodbine, MD.
| Data | Elk horn | Woodbine |
|---|---|---|
| Population | 619 | 8,124 |
| Median Age | 49.9 years | 38.0 years |
| Median Income | $59,306 | $115,000 |
| Married Families | 35.0% | 65.0% |
| Poverty Level | 9% | 4% |
| Unemployment Rate | 3.6 | 3.5 |
Population Comparison: Elk horn vs Woodbine
- The population in Woodbine is higher at 8,124, compared to 619 in Elk horn.
- Residents in Elk horn have a higher median age of 49.9 years compared to 38.0 years in Woodbine.
- Woodbine has a higher median income of $115,000, compared to $59,306 in Elk horn.
- In Woodbine, the percentage of married families is higher at 65.0%, compared to 35.0% in Elk horn.
- Elk horn has a higher poverty level at 9% compared to 4% in Woodbine.
- The unemployment rate in Elk horn is higher at 3.6%, compared to 3.5% in Woodbine.
Demographics
Demographics Elk horn vs Woodbine provide insight into the diversity of the communities to compare.
| Demographic | Elk horn | Woodbine |
|---|---|---|
| Black | Data is updating | 10 |
| White | 93 | 85 |
| Asian | Data is updating | 2 |
| Hispanic | 5 | 3 |
| Two or More Races | 1 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Elk horn vs Woodbine
- In Woodbine, the percentage of Black residents is higher at 10% compared to 0% in Elk horn.
- Elk horn has a higher percentage of White residents at 93% compared to 85% in Woodbine.
- In Woodbine, the Asian population stands at 2%, greater than 0% in Elk horn.
- The Hispanic community is larger in Elk horn at 5% compared to 3% in Woodbine.
- More residents identify as two or more races in Elk horn at 1% compared to 0% in Woodbine.
- A greater percentage of American Indian residents live in Elk horn at 1% compared to 0% in Woodbine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elk horn | Woodbine |
|---|---|---|
| Mental Health Not Good | 14.8% | Data is updating% |
| Physical Health Not Good | 9.0% | Data is updating% |
| Depression | 18.0% | Data is updating% |
| Smoking | 16.3% | Data is updating% |
| Binge Drinking | 22.9% | Data is updating% |
| Obesity | 35.9% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Elk horn vs Woodbine
- More residents in Elk horn report poor mental health at 14.8% compared to 0.0% in Woodbine.
- Depression is more prevalent in Elk horn at 18.0% compared to 0.0% in Woodbine.
- Smoking is more prevalent in Elk horn at 16.3% compared to 0.0% in Woodbine.
- Binge drinking is more common in Elk horn at 22.9% compared to 0.0% in Woodbine.
- Obesity rates are higher in Elk horn at 35.9% compared to 0.0% in Woodbine.
- Disability percentages are higher in Elk horn at 8.0% compared to 0.0% in Woodbine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Elk horn | Woodbine |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 18.9% (117) | 0.0% (Data is updating) |
| Less than High School | 7.1% (44) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 15.3% (95) | 0.0% (Data is updating) |
Education Levels Comparison: Elk horn vs Woodbine
- The percentage of residents with no formal schooling is the same in both Elk horn and Woodbine at 0.0%.
- A higher percentage of residents in Elk horn hold a high school diploma at 18.9% compared to 0.0% in Woodbine.
- More residents in Elk horn have less than a high school education at 7.1% compared to 0.0% in Woodbine.
- A higher percentage of residents in Elk horn hold a bachelor's degree or higher at 15.3% compared to 0.0% in Woodbine.
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.