Demographics details for Milford, CT vs Wapakoneta, OH
Population Overview
Compare main population characteristics in Milford, CT vs Wapakoneta, OH.
| Data | Milford | Wapakoneta |
|---|---|---|
| Population | 50,471 | 9,776 |
| Median Age | 46.6 years | 41.6 years |
| Median Income | $104,503 | $63,008 |
| Married Families | 45.0% | 42.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Milford vs Wapakoneta
- In Milford, the population is higher at 50,471, compared to 9,776 in Wapakoneta.
- Residents in Milford have a higher median age of 46.6 years compared to 41.6 years in Wapakoneta.
- Milford has a higher median income of $104,503 compared to $63,008 in Wapakoneta.
- A higher percentage of married families is found in Milford at 45.0% compared to 42.0% in Wapakoneta.
- The poverty level is higher in Wapakoneta at 10%, compared to 5% in Milford.
- Wapakoneta has a higher unemployment rate at 4.5% compared to 4.2% in Milford.
Demographics
Demographics Milford vs Wapakoneta provide insight into the diversity of the communities to compare.
| Demographic | Milford | Wapakoneta |
|---|---|---|
| Black | 2 | 1 |
| White | 79 | 89 |
| Asian | 5 | Data is updating |
| Hispanic | 8 | 5 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Milford vs Wapakoneta
- A higher percentage of Black residents are in Milford at 2% compared to 1% in Wapakoneta.
- The percentage of White residents is higher in Wapakoneta at 89% compared to 79% in Milford.
- The Asian population is larger in Milford at 5% compared to 0% in Wapakoneta.
- The Hispanic community is larger in Milford at 8% compared to 5% in Wapakoneta.
- More residents identify as two or more races in Milford at 6% compared to 5% in Wapakoneta.
- The percentage of American Indian residents is the same in both Milford and Wapakoneta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milford | Wapakoneta |
|---|---|---|
| Mental Health Not Good | 13.2% | 18.1% |
| Physical Health Not Good | 7.9% | 12.3% |
| Depression | 20.5% | 23.8% |
| Smoking | 12.7% | 21.3% |
| Binge Drinking | 17.0% | 18.8% |
| Obesity | 27.5% | 38.8% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Milford vs Wapakoneta
- In Wapakoneta, a higher percentage report poor mental health at 18.1% compared to 13.2% in Milford.
- Higher depression rates are seen in Wapakoneta at 23.8% versus 20.5% in Milford.
- Wapakoneta has a higher smoking rate at 21.3% compared to 12.7% in Milford.
- More residents engage in binge drinking in Wapakoneta at 18.8% compared to 17.0% in Milford.
- Wapakoneta has higher obesity rates at 38.8% compared to 27.5% in Milford.
- There is a higher percentage of disabled individuals in Wapakoneta at 13.0% compared to 10.0% in Milford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milford | Wapakoneta |
|---|---|---|
| No Schooling | 0.7% (366) | 0.1% (9) |
| High School Diploma | 16.7% (8,431) | 26.9% (2,625) |
| Less than High School | 6.6% (3,307) | 11.8% (1,157) |
| Bachelor's Degree and Higher | 36.0% (18,184) | 14.0% (1,364) |
Education Levels Comparison: Milford vs Wapakoneta
- A higher percentage of residents in Milford have no formal schooling at 0.7% compared to 0.1% in Wapakoneta.
- In Wapakoneta, the rate of residents with high school diplomas is higher at 26.9% compared to 16.7% in Milford.
- The percentage of residents with less than a high school education is higher in Wapakoneta at 11.8%, compared to 6.6% in Milford.
- A higher percentage of residents in Milford hold a bachelor's degree or higher at 36.0% 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.