Demographics details for Riegelwood, NC vs Elk horn, IA
Population Overview
Compare main population characteristics in Riegelwood, NC vs Elk horn, IA.
| Data | Riegelwood | Elk horn |
|---|---|---|
| Population | 658 | 619 |
| Median Age | 54.2 years | 49.9 years |
| Median Income | $42,452 | $59,306 |
| Married Families | 59.0% | 35.0% |
| Poverty Level | 15% | 9% |
| Unemployment Rate | 4.2 | 3.6 |
Population Comparison: Riegelwood vs Elk horn
- In Riegelwood, the population is higher at 658, compared to 619 in Elk horn.
- Residents in Riegelwood have a higher median age of 54.2 years compared to 49.9 years in Elk horn.
- Elk horn has a higher median income of $59,306, compared to $42,452 in Riegelwood.
- A higher percentage of married families is found in Riegelwood at 59.0% compared to 35.0% in Elk horn.
- Riegelwood has a higher poverty level at 15% compared to 9% in Elk horn.
- The unemployment rate in Riegelwood is higher at 4.2%, compared to 3.6% in Elk horn.
Demographics
Demographics Riegelwood vs Elk horn provide insight into the diversity of the communities to compare.
| Demographic | Riegelwood | Elk horn |
|---|---|---|
| Black | 26 | Data is updating |
| White | 60 | 93 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 5 |
| Two or More Races | 5 | 1 |
| American Indian | 5 | 1 |
Demographics Comparison: Riegelwood vs Elk horn
- A higher percentage of Black residents are in Riegelwood at 26% compared to 0% in Elk horn.
- The percentage of White residents is higher in Elk horn at 93% compared to 60% in Riegelwood.
- Both Riegelwood and Elk horn have the same percentage of Asian residents at 0%.
- Elk horn has a higher percentage of Hispanic residents at 5%, compared to 4% in Riegelwood.
- More residents identify as two or more races in Riegelwood at 5% compared to 1% in Elk horn.
- A greater percentage of American Indian residents live in Riegelwood at 5% compared to 1% in Elk horn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Riegelwood | Elk horn |
|---|---|---|
| Mental Health Not Good | 17.9% | 14.8% |
| Physical Health Not Good | 12.8% | 9.0% |
| Depression | 24.7% | 18.0% |
| Smoking | 21.1% | 16.3% |
| Binge Drinking | 16.6% | 22.9% |
| Obesity | 40.7% | 35.9% |
| Disability Percentage | 22.0% | 8.0% |
Health Statistics Comparison: Riegelwood vs Elk horn
- More residents in Riegelwood report poor mental health at 17.9% compared to 14.8% in Elk horn.
- Depression is more prevalent in Riegelwood at 24.7% compared to 18.0% in Elk horn.
- Smoking is more prevalent in Riegelwood at 21.1% compared to 16.3% in Elk horn.
- More residents engage in binge drinking in Elk horn at 22.9% compared to 16.6% in Riegelwood.
- Obesity rates are higher in Riegelwood at 40.7% compared to 35.9% in Elk horn.
- Disability percentages are higher in Riegelwood at 22.0% compared to 8.0% in Elk horn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Riegelwood | Elk horn |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 47.6% (313) | 18.9% (117) |
| Less than High School | 2.1% (14) | 7.1% (44) |
| Bachelor's Degree and Higher | 2.7% (18) | 15.3% (95) |
Education Levels Comparison: Riegelwood vs Elk horn
- The percentage of residents with no formal schooling is the same in both Riegelwood and Elk horn at 0.0%.
- A higher percentage of residents in Riegelwood hold a high school diploma at 47.6% compared to 18.9% in Elk horn.
- The percentage of residents with less than a high school education is higher in Elk horn at 7.1%, compared to 2.1% in Riegelwood.
- In Elk horn, a larger share of residents have a bachelor's degree or higher at 15.3% compared to 2.7% in Riegelwood.
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.