Demographics details for Wapakoneta, OH vs Richlands, NC
Population Overview
Compare main population characteristics in Wapakoneta, OH vs Richlands, NC.
| Data | Wapakoneta | Richlands |
|---|---|---|
| Population | 9,776 | 2,355 |
| Median Age | 41.6 years | 28.9 years |
| Median Income | $63,008 | $59,333 |
| Married Families | 42.0% | 41.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Wapakoneta vs Richlands
- In Wapakoneta, the population is higher at 9,776, compared to 2,355 in Richlands.
- Residents in Wapakoneta have a higher median age of 41.6 years compared to 28.9 years in Richlands.
- Wapakoneta has a higher median income of $63,008 compared to $59,333 in Richlands.
- A higher percentage of married families is found in Wapakoneta at 42.0% compared to 41.0% in Richlands.
- Wapakoneta has a higher poverty level at 10% compared to 9% in Richlands.
- The unemployment rate is the same in both Wapakoneta and Richlands at 4.5%.
Demographics
Demographics Wapakoneta vs Richlands provide insight into the diversity of the communities to compare.
| Demographic | Wapakoneta | Richlands |
|---|---|---|
| Black | 1 | 17 |
| White | 89 | 65 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 10 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wapakoneta vs Richlands
- In Richlands, the percentage of Black residents is higher at 17% compared to 1% in Wapakoneta.
- Wapakoneta has a higher percentage of White residents at 89% compared to 65% in Richlands.
- In Richlands, the Asian population stands at 1%, greater than 0% in Wapakoneta.
- Richlands has a higher percentage of Hispanic residents at 10%, compared to 5% in Wapakoneta.
- The percentage of residents identifying as two or more races is higher in Richlands at 7%, compared to 5% in Wapakoneta.
- The percentage of American Indian residents is the same in both Wapakoneta and Richlands at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wapakoneta | Richlands |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.5% |
| Physical Health Not Good | 12.3% | 10.7% |
| Depression | 23.8% | 23.5% |
| Smoking | 21.3% | 16.6% |
| Binge Drinking | 18.8% | 17.4% |
| Obesity | 38.8% | 36.7% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Wapakoneta vs Richlands
- More residents in Wapakoneta report poor mental health at 18.1% compared to 16.5% in Richlands.
- Depression is more prevalent in Wapakoneta at 23.8% compared to 23.5% in Richlands.
- Smoking is more prevalent in Wapakoneta at 21.3% compared to 16.6% in Richlands.
- Binge drinking is more common in Wapakoneta at 18.8% compared to 17.4% in Richlands.
- Obesity rates are higher in Wapakoneta at 38.8% compared to 36.7% in Richlands.
- Disability percentages are higher in Wapakoneta at 13.0% compared to 11.0% in Richlands.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wapakoneta | Richlands |
|---|---|---|
| No Schooling | 0.1% (9) | 0.8% (20) |
| High School Diploma | 26.9% (2,625) | 18.9% (445) |
| Less than High School | 11.8% (1,157) | 11.6% (273) |
| Bachelor's Degree and Higher | 14.0% (1,364) | 17.3% (408) |
Education Levels Comparison: Wapakoneta vs Richlands
- In Richlands, a larger percentage of residents lack formal schooling at 0.8% compared to 0.1% in Wapakoneta.
- A higher percentage of residents in Wapakoneta hold a high school diploma at 26.9% compared to 18.9% in Richlands.
- More residents in Wapakoneta have less than a high school education at 11.8% compared to 11.6% in Richlands.
- In Richlands, a larger share of residents have a bachelor's degree or higher at 17.3% compared to 14.0% in Wapakoneta.
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.