Demographics details for Chester, IA vs Riegelwood, NC
Population Overview
Compare main population characteristics in Chester, IA vs Riegelwood, NC.
| Data | Chester | Riegelwood |
|---|---|---|
| Population | 138 | 658 |
| Median Age | 38.5 years | 54.2 years |
| Median Income | $52,083 | $42,452 |
| Married Families | 44.0% | 59.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Chester vs Riegelwood
- The population in Riegelwood is higher at 658, compared to 138 in Chester.
- The median age in Riegelwood is higher at 54.2 years, compared to 38.5 years in Chester.
- Chester has a higher median income of $52,083 compared to $42,452 in Riegelwood.
- In Riegelwood, the percentage of married families is higher at 59.0%, compared to 44.0% in Chester.
- The poverty level is higher in Riegelwood at 15%, compared to 5% in Chester.
- Riegelwood has a higher unemployment rate at 4.2% compared to 3.5% in Chester.
Demographics
Demographics Chester vs Riegelwood provide insight into the diversity of the communities to compare.
| Demographic | Chester | Riegelwood |
|---|---|---|
| Black | Data is updating | 26 |
| White | 98 | 60 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 4 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Chester vs Riegelwood
- In Riegelwood, the percentage of Black residents is higher at 26% compared to 0% in Chester.
- Chester has a higher percentage of White residents at 98% compared to 60% in Riegelwood.
- Both Chester and Riegelwood have the same percentage of Asian residents at 0%.
- Riegelwood has a higher percentage of Hispanic residents at 4%, compared to 1% in Chester.
- The percentage of residents identifying as two or more races is higher in Riegelwood at 5%, compared to 1% in Chester.
- In Riegelwood, the percentage of American Indian residents is higher at 5%, compared to 0% in Chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Riegelwood |
|---|---|---|
| Mental Health Not Good | 15.9% | 17.9% |
| Physical Health Not Good | 10.7% | 12.8% |
| Depression | 18.7% | 24.7% |
| Smoking | 20.1% | 21.1% |
| Binge Drinking | 21.8% | 16.6% |
| Obesity | 36.4% | 40.7% |
| Disability Percentage | 9.0% | 22.0% |
Health Statistics Comparison: Chester vs Riegelwood
- In Riegelwood, a higher percentage report poor mental health at 17.9% compared to 15.9% in Chester.
- Higher depression rates are seen in Riegelwood at 24.7% versus 18.7% in Chester.
- Riegelwood has a higher smoking rate at 21.1% compared to 20.1% in Chester.
- Binge drinking is more common in Chester at 21.8% compared to 16.6% in Riegelwood.
- Riegelwood has higher obesity rates at 40.7% compared to 36.4% in Chester.
- There is a higher percentage of disabled individuals in Riegelwood at 22.0% compared to 9.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Riegelwood |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 25.4% (35) | 47.6% (313) |
| Less than High School | 13.0% (18) | 2.1% (14) |
| Bachelor's Degree and Higher | 5.8% (8) | 2.7% (18) |
Education Levels Comparison: Chester vs Riegelwood
- The percentage of residents with no formal schooling is the same in both Chester and Riegelwood at 0.0%.
- In Riegelwood, the rate of residents with high school diplomas is higher at 47.6% compared to 25.4% in Chester.
- More residents in Chester have less than a high school education at 13.0% compared to 2.1% in Riegelwood.
- A higher percentage of residents in Chester hold a bachelor's degree or higher at 5.8% 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.