Demographics details for Highland, KS vs Wapakoneta, OH
Population Overview
Compare main population characteristics in Highland, KS vs Wapakoneta, OH.
| Data | Highland | Wapakoneta |
|---|---|---|
| Population | 915 | 9,776 |
| Median Age | 20.4 years | 41.6 years |
| Median Income | $65,000 | $63,008 |
| Married Families | 25.0% | 42.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Highland vs Wapakoneta
- The population in Wapakoneta is higher at 9,776, compared to 915 in Highland.
- The median age in Wapakoneta is higher at 41.6 years, compared to 20.4 years in Highland.
- Highland has a higher median income of $65,000 compared to $63,008 in Wapakoneta.
- In Wapakoneta, the percentage of married families is higher at 42.0%, compared to 25.0% in Highland.
- The poverty level is higher in Wapakoneta at 10%, compared to 5% in Highland.
- Wapakoneta has a higher unemployment rate at 4.5% compared to 3.2% in Highland.
Demographics
Demographics Highland vs Wapakoneta provide insight into the diversity of the communities to compare.
| Demographic | Highland | Wapakoneta |
|---|---|---|
| Black | 33 | 1 |
| White | 51 | 89 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | 5 |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Highland vs Wapakoneta
- A higher percentage of Black residents are in Highland at 33% compared to 1% in Wapakoneta.
- The percentage of White residents is higher in Wapakoneta at 89% compared to 51% in Highland.
- The Asian population is larger in Highland at 1% compared to 0% in Wapakoneta.
- The Hispanic community is larger in Highland at 7% compared to 5% in Wapakoneta.
- More residents identify as two or more races in Highland at 8% compared to 5% in Wapakoneta.
- The percentage of American Indian residents is the same in both Highland and Wapakoneta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Highland | Wapakoneta |
|---|---|---|
| Mental Health Not Good | 16.5% | 18.1% |
| Physical Health Not Good | 10.8% | 12.3% |
| Depression | 21.5% | 23.8% |
| Smoking | 19.7% | 21.3% |
| Binge Drinking | 19.2% | 18.8% |
| Obesity | 40.1% | 38.8% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Highland vs Wapakoneta
- In Wapakoneta, a higher percentage report poor mental health at 18.1% compared to 16.5% in Highland.
- Higher depression rates are seen in Wapakoneta at 23.8% versus 21.5% in Highland.
- Wapakoneta has a higher smoking rate at 21.3% compared to 19.7% in Highland.
- Binge drinking is more common in Highland at 19.2% compared to 18.8% in Wapakoneta.
- Obesity rates are higher in Highland at 40.1% compared to 38.8% in Wapakoneta.
- Disability percentages are higher in Highland at 17.0% compared to 13.0% in Wapakoneta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Highland | Wapakoneta |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.1% (9) |
| High School Diploma | 7.5% (69) | 26.9% (2,625) |
| Less than High School | 6.1% (56) | 11.8% (1,157) |
| Bachelor's Degree and Higher | 15.3% (140) | 14.0% (1,364) |
Education Levels Comparison: Highland vs Wapakoneta
- In Wapakoneta, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Highland.
- In Wapakoneta, the rate of residents with high school diplomas is higher at 26.9% compared to 7.5% in Highland.
- The percentage of residents with less than a high school education is higher in Wapakoneta at 11.8%, compared to 6.1% in Highland.
- A higher percentage of residents in Highland hold a bachelor's degree or higher at 15.3% 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.