Demographics details for Lake city, FL vs Wapakoneta, OH
Population Overview
Compare main population characteristics in Lake city, FL vs Wapakoneta, OH.
| Data | Lake city | Wapakoneta |
|---|---|---|
| Population | 12,449 | 9,776 |
| Median Age | 37.9 years | 41.6 years |
| Median Income | $46,172 | $63,008 |
| Married Families | 26.0% | 42.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Lake city vs Wapakoneta
- In Lake city, the population is higher at 12,449, compared to 9,776 in Wapakoneta.
- The median age in Wapakoneta is higher at 41.6 years, compared to 37.9 years in Lake city.
- Wapakoneta has a higher median income of $63,008, compared to $46,172 in Lake city.
- In Wapakoneta, the percentage of married families is higher at 42.0%, compared to 26.0% in Lake city.
- Lake city has a higher poverty level at 14% compared to 10% in Wapakoneta.
- Wapakoneta has a higher unemployment rate at 4.5% compared to 3.0% in Lake city.
Demographics
Demographics Lake city vs Wapakoneta provide insight into the diversity of the communities to compare.
| Demographic | Lake city | Wapakoneta |
|---|---|---|
| Black | 36 | 1 |
| White | 53 | 89 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 5 |
| Two or More Races | 7 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lake city vs Wapakoneta
- A higher percentage of Black residents are in Lake city at 36% compared to 1% in Wapakoneta.
- The percentage of White residents is higher in Wapakoneta at 89% compared to 53% in Lake city.
- The Asian population is larger in Lake city at 1% compared to 0% in Wapakoneta.
- Wapakoneta has a higher percentage of Hispanic residents at 5%, compared to 3% in Lake city.
- More residents identify as two or more races in Lake city at 7% compared to 5% in Wapakoneta.
- The percentage of American Indian residents is the same in both Lake city and Wapakoneta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lake city | Wapakoneta |
|---|---|---|
| Mental Health Not Good | 17.8% | 18.1% |
| Physical Health Not Good | 13.4% | 12.3% |
| Depression | 21.0% | 23.8% |
| Smoking | 23.6% | 21.3% |
| Binge Drinking | 14.5% | 18.8% |
| Obesity | 36.5% | 38.8% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Lake city vs Wapakoneta
- In Wapakoneta, a higher percentage report poor mental health at 18.1% compared to 17.8% in Lake city.
- Higher depression rates are seen in Wapakoneta at 23.8% versus 21.0% in Lake city.
- Smoking is more prevalent in Lake city at 23.6% compared to 21.3% in Wapakoneta.
- More residents engage in binge drinking in Wapakoneta at 18.8% compared to 14.5% in Lake city.
- Wapakoneta has higher obesity rates at 38.8% compared to 36.5% in Lake city.
- Disability percentages are higher in Lake city 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 | Lake city | Wapakoneta |
|---|---|---|
| No Schooling | 0.3% (42) | 0.1% (9) |
| High School Diploma | 19.5% (2,424) | 26.9% (2,625) |
| Less than High School | 8.8% (1,093) | 11.8% (1,157) |
| Bachelor's Degree and Higher | 15.5% (1,932) | 14.0% (1,364) |
Education Levels Comparison: Lake city vs Wapakoneta
- A higher percentage of residents in Lake city have no formal schooling at 0.3% compared to 0.1% in Wapakoneta.
- In Wapakoneta, the rate of residents with high school diplomas is higher at 26.9% compared to 19.5% in Lake city.
- The percentage of residents with less than a high school education is higher in Wapakoneta at 11.8%, compared to 8.8% in Lake city.
- A higher percentage of residents in Lake city hold a bachelor's degree or higher at 15.5% 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.