Demographics details for Wapakoneta, OH vs Glencoe, KY
Population Overview
Compare main population characteristics in Wapakoneta, OH vs Glencoe, KY.
| Data | Wapakoneta | Glencoe |
|---|---|---|
| Population | 9,776 | 351 |
| Median Age | 41.6 years | 34.4 years |
| Median Income | $63,008 | $43,438 |
| Married Families | 42.0% | 36.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Wapakoneta vs Glencoe
- In Wapakoneta, the population is higher at 9,776, compared to 351 in Glencoe.
- Residents in Wapakoneta have a higher median age of 41.6 years compared to 34.4 years in Glencoe.
- Wapakoneta has a higher median income of $63,008 compared to $43,438 in Glencoe.
- A higher percentage of married families is found in Wapakoneta at 42.0% compared to 36.0% in Glencoe.
- The poverty level is identical in both Wapakoneta and Glencoe at 10%.
- The unemployment rate in Wapakoneta is higher at 4.5%, compared to 3.5% in Glencoe.
Demographics
Demographics Wapakoneta vs Glencoe provide insight into the diversity of the communities to compare.
| Demographic | Wapakoneta | Glencoe |
|---|---|---|
| Black | 1 | Data is updating |
| White | 89 | 89 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 8 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wapakoneta vs Glencoe
- A higher percentage of Black residents are in Wapakoneta at 1% compared to 0% in Glencoe.
- The percentage of White residents is the same in both Wapakoneta and Glencoe at 89%.
- Both Wapakoneta and Glencoe have the same percentage of Asian residents at 0%.
- Glencoe has a higher percentage of Hispanic residents at 8%, compared to 5% in Wapakoneta.
- More residents identify as two or more races in Wapakoneta at 5% compared to 3% in Glencoe.
- The percentage of American Indian residents is the same in both Wapakoneta and Glencoe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wapakoneta | Glencoe |
|---|---|---|
| Mental Health Not Good | 18.1% | 19.9% |
| Physical Health Not Good | 12.3% | 14.8% |
| Depression | 23.8% | 28.7% |
| Smoking | 21.3% | 24.4% |
| Binge Drinking | 18.8% | 15.3% |
| Obesity | 38.8% | 38.0% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Wapakoneta vs Glencoe
- In Glencoe, a higher percentage report poor mental health at 19.9% compared to 18.1% in Wapakoneta.
- Higher depression rates are seen in Glencoe at 28.7% versus 23.8% in Wapakoneta.
- Glencoe has a higher smoking rate at 24.4% compared to 21.3% in Wapakoneta.
- Binge drinking is more common in Wapakoneta at 18.8% compared to 15.3% in Glencoe.
- Obesity rates are higher in Wapakoneta at 38.8% compared to 38.0% in Glencoe.
- There is a higher percentage of disabled individuals in Glencoe at 14.0% 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 | Wapakoneta | Glencoe |
|---|---|---|
| No Schooling | 0.1% (9) | 2.0% (7) |
| High School Diploma | 26.9% (2,625) | 21.7% (76) |
| Less than High School | 11.8% (1,157) | 19.9% (70) |
| Bachelor's Degree and Higher | 14.0% (1,364) | 2.3% (8) |
Education Levels Comparison: Wapakoneta vs Glencoe
- In Glencoe, a larger percentage of residents lack formal schooling at 2.0% compared to 0.1% in Wapakoneta.
- A higher percentage of residents in Wapakoneta hold a high school diploma at 26.9% compared to 21.7% in Glencoe.
- The percentage of residents with less than a high school education is higher in Glencoe at 19.9%, 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 2.3% in Glencoe.
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.