Demographics details for Wapakoneta, OH vs Horn lake, MS
Population Overview
Compare main population characteristics in Wapakoneta, OH vs Horn lake, MS.
| Data | Wapakoneta | Horn lake |
|---|---|---|
| Population | 9,776 | 26,550 |
| Median Age | 41.6 years | 35.5 years |
| Median Income | $63,008 | $57,111 |
| Married Families | 42.0% | 31.0% |
| Poverty Level | 10% | 19% |
| Unemployment Rate | 4.5 | 3.7 |
Population Comparison: Wapakoneta vs Horn lake
- The population in Horn lake is higher at 26,550, compared to 9,776 in Wapakoneta.
- Residents in Wapakoneta have a higher median age of 41.6 years compared to 35.5 years in Horn lake.
- Wapakoneta has a higher median income of $63,008 compared to $57,111 in Horn lake.
- A higher percentage of married families is found in Wapakoneta at 42.0% compared to 31.0% in Horn lake.
- The poverty level is higher in Horn lake at 19%, compared to 10% in Wapakoneta.
- The unemployment rate in Wapakoneta is higher at 4.5%, compared to 3.7% in Horn lake.
Demographics
Demographics Wapakoneta vs Horn lake provide insight into the diversity of the communities to compare.
| Demographic | Wapakoneta | Horn lake |
|---|---|---|
| Black | 1 | 45 |
| White | 89 | 40 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 9 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wapakoneta vs Horn lake
- In Horn lake, the percentage of Black residents is higher at 45% compared to 1% in Wapakoneta.
- Wapakoneta has a higher percentage of White residents at 89% compared to 40% in Horn lake.
- In Horn lake, the Asian population stands at 1%, greater than 0% in Wapakoneta.
- Horn lake has a higher percentage of Hispanic residents at 9%, compared to 5% in Wapakoneta.
- Both Wapakoneta and Horn lake have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Wapakoneta and Horn lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wapakoneta | Horn lake |
|---|---|---|
| Mental Health Not Good | 18.1% | 17.2% |
| Physical Health Not Good | 12.3% | 12.9% |
| Depression | 23.8% | 23.5% |
| Smoking | 21.3% | 20.4% |
| Binge Drinking | 18.8% | 12.9% |
| Obesity | 38.8% | 43.4% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Wapakoneta vs Horn lake
- More residents in Wapakoneta report poor mental health at 18.1% compared to 17.2% in Horn lake.
- Depression is more prevalent in Wapakoneta at 23.8% compared to 23.5% in Horn lake.
- Smoking is more prevalent in Wapakoneta at 21.3% compared to 20.4% in Horn lake.
- Binge drinking is more common in Wapakoneta at 18.8% compared to 12.9% in Horn lake.
- Horn lake has higher obesity rates at 43.4% compared to 38.8% in Wapakoneta.
- Disability percentages are the same in both Wapakoneta and Horn lake at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wapakoneta | Horn lake |
|---|---|---|
| No Schooling | 0.1% (9) | 0.9% (252) |
| High School Diploma | 26.9% (2,625) | 18.1% (4,818) |
| Less than High School | 11.8% (1,157) | 16.3% (4,319) |
| Bachelor's Degree and Higher | 14.0% (1,364) | 10.5% (2,777) |
Education Levels Comparison: Wapakoneta vs Horn lake
- In Horn lake, a larger percentage of residents lack formal schooling at 0.9% compared to 0.1% in Wapakoneta.
- A higher percentage of residents in Wapakoneta hold a high school diploma at 26.9% compared to 18.1% in Horn lake.
- The percentage of residents with less than a high school education is higher in Horn lake at 16.3%, compared to 11.8% in Wapakoneta.
- A higher percentage of residents in Wapakoneta hold a bachelor's degree or higher at 14.0% compared to 10.5% in Horn lake.
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.