Demographics details for Riegelwood, NC vs Lawrence, NY
Population Overview
Compare main population characteristics in Riegelwood, NC vs Lawrence, NY.
| Data | Riegelwood | Lawrence |
|---|---|---|
| Population | 658 | 6,745 |
| Median Age | 54.2 years | 32.5 years |
| Median Income | $42,452 | $169,029 |
| Married Families | 59.0% | 45.0% |
| Poverty Level | 15% | 2% |
| Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Riegelwood vs Lawrence
- The population in Lawrence is higher at 6,745, compared to 658 in Riegelwood.
- Residents in Riegelwood have a higher median age of 54.2 years compared to 32.5 years in Lawrence.
- Lawrence has a higher median income of $169,029, compared to $42,452 in Riegelwood.
- A higher percentage of married families is found in Riegelwood at 59.0% compared to 45.0% in Lawrence.
- Riegelwood has a higher poverty level at 15% compared to 2% in Lawrence.
- Lawrence has a higher unemployment rate at 5.0% compared to 4.2% in Riegelwood.
Demographics
Demographics Riegelwood vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Riegelwood | Lawrence |
|---|---|---|
| Black | 26 | Data is updating |
| White | 60 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | 4 | 2 |
| Two or More Races | 5 | 2 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Riegelwood vs Lawrence
- A higher percentage of Black residents are in Riegelwood at 26% compared to 0% in Lawrence.
- The percentage of White residents is higher in Lawrence at 95% compared to 60% in Riegelwood.
- In Lawrence, the Asian population stands at 1%, greater than 0% in Riegelwood.
- The Hispanic community is larger in Riegelwood at 4% compared to 2% in Lawrence.
- More residents identify as two or more races in Riegelwood at 5% compared to 2% in Lawrence.
- A greater percentage of American Indian residents live in Riegelwood at 5% compared to 0% in Lawrence.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Riegelwood | Lawrence |
|---|---|---|
| Mental Health Not Good | 17.9% | 12.6% |
| Physical Health Not Good | 12.8% | 7.1% |
| Depression | 24.7% | 17.3% |
| Smoking | 21.1% | 9.0% |
| Binge Drinking | 16.6% | 19.1% |
| Obesity | 40.7% | 25.3% |
| Disability Percentage | 22.0% | 6.0% |
Health Statistics Comparison: Riegelwood vs Lawrence
- More residents in Riegelwood report poor mental health at 17.9% compared to 12.6% in Lawrence.
- Depression is more prevalent in Riegelwood at 24.7% compared to 17.3% in Lawrence.
- Smoking is more prevalent in Riegelwood at 21.1% compared to 9.0% in Lawrence.
- More residents engage in binge drinking in Lawrence at 19.1% compared to 16.6% in Riegelwood.
- Obesity rates are higher in Riegelwood at 40.7% compared to 25.3% in Lawrence.
- Disability percentages are higher in Riegelwood at 22.0% compared to 6.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Riegelwood | Lawrence |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 47.6% (313) | 4.2% (283) |
| Less than High School | 2.1% (14) | 3.7% (252) |
| Bachelor's Degree and Higher | 2.7% (18) | 41.9% (2,824) |
Education Levels Comparison: Riegelwood vs Lawrence
- The percentage of residents with no formal schooling is the same in both Riegelwood and Lawrence at 0.0%.
- A higher percentage of residents in Riegelwood hold a high school diploma at 47.6% compared to 4.2% in Lawrence.
- The percentage of residents with less than a high school education is higher in Lawrence at 3.7%, compared to 2.1% in Riegelwood.
- In Lawrence, a larger share of residents have a bachelor's degree or higher at 41.9% 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.