Demographics details for Dixon, MO vs Riegelwood, NC
Population Overview
Compare main population characteristics in Dixon, MO vs Riegelwood, NC.
| Data | Dixon | Riegelwood |
|---|---|---|
| Population | 1,219 | 658 |
| Median Age | 32.3 years | 54.2 years |
| Median Income | $45,900 | $42,452 |
| Married Families | 25.0% | 59.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Dixon vs Riegelwood
- In Dixon, the population is higher at 1,219, compared to 658 in Riegelwood.
- The median age in Riegelwood is higher at 54.2 years, compared to 32.3 years in Dixon.
- Dixon has a higher median income of $45,900 compared to $42,452 in Riegelwood.
- In Riegelwood, the percentage of married families is higher at 59.0%, compared to 25.0% in Dixon.
- The poverty level is higher in Riegelwood at 15%, compared to 12% in Dixon.
- Riegelwood has a higher unemployment rate at 4.2% compared to 3.5% in Dixon.
Demographics
Demographics Dixon vs Riegelwood provide insight into the diversity of the communities to compare.
| Demographic | Dixon | Riegelwood |
|---|---|---|
| Black | Data is updating | 26 |
| White | 98 | 60 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 4 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Dixon vs Riegelwood
- In Riegelwood, the percentage of Black residents is higher at 26% compared to 0% in Dixon.
- Dixon has a higher percentage of White residents at 98% compared to 60% in Riegelwood.
- Both Dixon and Riegelwood have the same percentage of Asian residents at 0%.
- Riegelwood has a higher percentage of Hispanic residents at 4%, compared to 2% in Dixon.
- The percentage of residents identifying as two or more races is higher in Riegelwood at 5%, compared to 0% in Dixon.
- In Riegelwood, the percentage of American Indian residents is higher at 5%, compared to 0% in Dixon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dixon | Riegelwood |
|---|---|---|
| Mental Health Not Good | 19.7% | 17.9% |
| Physical Health Not Good | 15.1% | 12.8% |
| Depression | 27.4% | 24.7% |
| Smoking | 24.9% | 21.1% |
| Binge Drinking | 16.3% | 16.6% |
| Obesity | 42.1% | 40.7% |
| Disability Percentage | 20.0% | 22.0% |
Health Statistics Comparison: Dixon vs Riegelwood
- More residents in Dixon report poor mental health at 19.7% compared to 17.9% in Riegelwood.
- Depression is more prevalent in Dixon at 27.4% compared to 24.7% in Riegelwood.
- Smoking is more prevalent in Dixon at 24.9% compared to 21.1% in Riegelwood.
- More residents engage in binge drinking in Riegelwood at 16.6% compared to 16.3% in Dixon.
- Obesity rates are higher in Dixon at 42.1% compared to 40.7% in Riegelwood.
- There is a higher percentage of disabled individuals in Riegelwood at 22.0% compared to 20.0% in Dixon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dixon | Riegelwood |
|---|---|---|
| No Schooling | 0.3% (4) | 0.0% (Data is updating) |
| High School Diploma | 17.2% (210) | 47.6% (313) |
| Less than High School | 15.1% (184) | 2.1% (14) |
| Bachelor's Degree and Higher | 7.6% (93) | 2.7% (18) |
Education Levels Comparison: Dixon vs Riegelwood
- A higher percentage of residents in Dixon have no formal schooling at 0.3% compared to 0.0% in Riegelwood.
- In Riegelwood, the rate of residents with high school diplomas is higher at 47.6% compared to 17.2% in Dixon.
- More residents in Dixon have less than a high school education at 15.1% compared to 2.1% in Riegelwood.
- A higher percentage of residents in Dixon hold a bachelor's degree or higher at 7.6% 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.