Demographics details for Riegelwood, NC vs Lillie, LA
Population Overview
Compare main population characteristics in Riegelwood, NC vs Lillie, LA.
| Data | Riegelwood | Lillie |
|---|---|---|
| Population | 658 | 107 |
| Median Age | 54.2 years | 26.6 years |
| Median Income | $42,452 | $26,250 |
| Married Families | 59.0% | 64.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Riegelwood vs Lillie
- In Riegelwood, the population is higher at 658, compared to 107 in Lillie.
- Residents in Riegelwood have a higher median age of 54.2 years compared to 26.6 years in Lillie.
- Riegelwood has a higher median income of $42,452 compared to $26,250 in Lillie.
- In Lillie, the percentage of married families is higher at 64.0%, compared to 59.0% in Riegelwood.
- Riegelwood has a higher poverty level at 15% compared to 0% in Lillie.
- The unemployment rate in Riegelwood is higher at 4.2%, compared to 3.5% in Lillie.
Demographics
Demographics Riegelwood vs Lillie provide insight into the diversity of the communities to compare.
| Demographic | Riegelwood | Lillie |
|---|---|---|
| Black | 26 | 47 |
| White | 60 | 46 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 7 |
| Two or More Races | 5 | Data is updating |
| American Indian | 5 | Data is updating |
Demographics Comparison: Riegelwood vs Lillie
- In Lillie, the percentage of Black residents is higher at 47% compared to 26% in Riegelwood.
- Riegelwood has a higher percentage of White residents at 60% compared to 46% in Lillie.
- Both Riegelwood and Lillie have the same percentage of Asian residents at 0%.
- Lillie has a higher percentage of Hispanic residents at 7%, compared to 4% in Riegelwood.
- More residents identify as two or more races in Riegelwood at 5% compared to 0% in Lillie.
- A greater percentage of American Indian residents live in Riegelwood at 5% compared to 0% in Lillie.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Riegelwood | Lillie |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.6% |
| Physical Health Not Good | 12.8% | 13.5% |
| Depression | 24.7% | 24.8% |
| Smoking | 21.1% | 23.4% |
| Binge Drinking | 16.6% | 17.8% |
| Obesity | 40.7% | 42.4% |
| Disability Percentage | 22.0% | 22.0% |
Health Statistics Comparison: Riegelwood vs Lillie
- In Lillie, a higher percentage report poor mental health at 19.6% compared to 17.9% in Riegelwood.
- Higher depression rates are seen in Lillie at 24.8% versus 24.7% in Riegelwood.
- Lillie has a higher smoking rate at 23.4% compared to 21.1% in Riegelwood.
- More residents engage in binge drinking in Lillie at 17.8% compared to 16.6% in Riegelwood.
- Lillie has higher obesity rates at 42.4% compared to 40.7% in Riegelwood.
- Disability percentages are the same in both Riegelwood and Lillie at 22.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Riegelwood | Lillie |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 47.6% (313) | 31.8% (34) |
| Less than High School | 2.1% (14) | 17.8% (19) |
| Bachelor's Degree and Higher | 2.7% (18) | 23.4% (25) |
Education Levels Comparison: Riegelwood vs Lillie
- The percentage of residents with no formal schooling is the same in both Riegelwood and Lillie at 0.0%.
- A higher percentage of residents in Riegelwood hold a high school diploma at 47.6% compared to 31.8% in Lillie.
- The percentage of residents with less than a high school education is higher in Lillie at 17.8%, compared to 2.1% in Riegelwood.
- In Lillie, a larger share of residents have a bachelor's degree or higher at 23.4% 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.