Demographics details for New riegel, OH vs Washington, NC
Population Overview
Compare main population characteristics in New riegel, OH vs Washington, NC.
| Data | New riegel | Washington |
|---|---|---|
| Population | 282 | 10,828 |
| Median Age | 32.3 years | 48.0 years |
| Median Income | $57,500 | $38,927 |
| Married Families | 46.0% | 34.0% |
| Poverty Level | 6% | 16% |
| Unemployment Rate | 2.5 | 4.8 |
Population Comparison: New riegel vs Washington
- The population in Washington is higher at 10,828, compared to 282 in New riegel.
- The median age in Washington is higher at 48.0 years, compared to 32.3 years in New riegel.
- New riegel has a higher median income of $57,500 compared to $38,927 in Washington.
- A higher percentage of married families is found in New riegel at 46.0% compared to 34.0% in Washington.
- The poverty level is higher in Washington at 16%, compared to 6% in New riegel.
- Washington has a higher unemployment rate at 4.8% compared to 2.5% in New riegel.
Demographics
Demographics New riegel vs Washington provide insight into the diversity of the communities to compare.
| Demographic | New riegel | Washington |
|---|---|---|
| Black | Data is updating | 49 |
| White | 69 | 41 |
| Asian | Data is updating | Data is updating |
| Hispanic | 21 | 6 |
| Two or More Races | 10 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: New riegel vs Washington
- In Washington, the percentage of Black residents is higher at 49% compared to 0% in New riegel.
- New riegel has a higher percentage of White residents at 69% compared to 41% in Washington.
- Both New riegel and Washington have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in New riegel at 21% compared to 6% in Washington.
- More residents identify as two or more races in New riegel at 10% compared to 3% in Washington.
- In Washington, the percentage of American Indian residents is higher at 1%, compared to 0% in New riegel.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New riegel | Washington |
|---|---|---|
| Mental Health Not Good | 16.3% | 18.3% |
| Physical Health Not Good | 10.6% | 13.8% |
| Depression | 22.8% | 22.8% |
| Smoking | 19.3% | 21.9% |
| Binge Drinking | 19.4% | 14.7% |
| Obesity | 39.6% | 43.3% |
| Disability Percentage | 18.0% | 24.0% |
Health Statistics Comparison: New riegel vs Washington
- In Washington, a higher percentage report poor mental health at 18.3% compared to 16.3% in New riegel.
- Both cities have comparable depression rates at 22.8%.
- Washington has a higher smoking rate at 21.9% compared to 19.3% in New riegel.
- Binge drinking is more common in New riegel at 19.4% compared to 14.7% in Washington.
- Washington has higher obesity rates at 43.3% compared to 39.6% in New riegel.
- There is a higher percentage of disabled individuals in Washington at 24.0% compared to 18.0% in New riegel.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New riegel | Washington |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (128) |
| High School Diploma | 27.7% (78) | 19.0% (2,058) |
| Less than High School | 12.8% (36) | 13.7% (1,487) |
| Bachelor's Degree and Higher | 11.3% (32) | 10.3% (1,118) |
Education Levels Comparison: New riegel vs Washington
- In Washington, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in New riegel.
- A higher percentage of residents in New riegel hold a high school diploma at 27.7% compared to 19.0% in Washington.
- The percentage of residents with less than a high school education is higher in Washington at 13.7%, compared to 12.8% in New riegel.
- A higher percentage of residents in New riegel hold a bachelor's degree or higher at 11.3% compared to 10.3% in Washington.
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.