Demographics details for Shadyside, OH vs Milford, CT
Population Overview
Compare main population characteristics in Shadyside, OH vs Milford, CT.
| Data | Shadyside | Milford |
|---|---|---|
| Population | 3,394 | 50,471 |
| Median Age | 49.0 years | 46.6 years |
| Median Income | $53,505 | $104,503 |
| Married Families | 40.0% | 45.0% |
| Poverty Level | 8% | 5% |
| Unemployment Rate | 5.5 | 4.2 |
Population Comparison: Shadyside vs Milford
- The population in Milford is higher at 50,471, compared to 3,394 in Shadyside.
- Residents in Shadyside have a higher median age of 49.0 years compared to 46.6 years in Milford.
- Milford has a higher median income of $104,503, compared to $53,505 in Shadyside.
- In Milford, the percentage of married families is higher at 45.0%, compared to 40.0% in Shadyside.
- Shadyside has a higher poverty level at 8% compared to 5% in Milford.
- The unemployment rate in Shadyside is higher at 5.5%, compared to 4.2% in Milford.
Demographics
Demographics Shadyside vs Milford provide insight into the diversity of the communities to compare.
| Demographic | Shadyside | Milford |
|---|---|---|
| Black | Data is updating | 2 |
| White | 99 | 79 |
| Asian | Data is updating | 5 |
| Hispanic | Data is updating | 8 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Shadyside vs Milford
- In Milford, the percentage of Black residents is higher at 2% compared to 0% in Shadyside.
- Shadyside has a higher percentage of White residents at 99% compared to 79% in Milford.
- In Milford, the Asian population stands at 5%, greater than 0% in Shadyside.
- Milford has a higher percentage of Hispanic residents at 8%, compared to 0% in Shadyside.
- The percentage of residents identifying as two or more races is higher in Milford at 6%, compared to 1% in Shadyside.
- The percentage of American Indian residents is the same in both Shadyside and Milford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shadyside | Milford |
|---|---|---|
| Mental Health Not Good | 16.6% | 13.2% |
| Physical Health Not Good | 10.4% | 7.9% |
| Depression | 24.1% | 20.5% |
| Smoking | 18.2% | 12.7% |
| Binge Drinking | 18.9% | 17.0% |
| Obesity | 35.6% | 27.5% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Shadyside vs Milford
- More residents in Shadyside report poor mental health at 16.6% compared to 13.2% in Milford.
- Depression is more prevalent in Shadyside at 24.1% compared to 20.5% in Milford.
- Smoking is more prevalent in Shadyside at 18.2% compared to 12.7% in Milford.
- Binge drinking is more common in Shadyside at 18.9% compared to 17.0% in Milford.
- Obesity rates are higher in Shadyside at 35.6% compared to 27.5% in Milford.
- Disability percentages are the same in both Shadyside and Milford at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shadyside | Milford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (366) |
| High School Diploma | 34.1% (1,158) | 16.7% (8,431) |
| Less than High School | 11.4% (388) | 6.6% (3,307) |
| Bachelor's Degree and Higher | 20.2% (684) | 36.0% (18,184) |
Education Levels Comparison: Shadyside vs Milford
- In Milford, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Shadyside.
- A higher percentage of residents in Shadyside hold a high school diploma at 34.1% compared to 16.7% in Milford.
- More residents in Shadyside have less than a high school education at 11.4% compared to 6.6% in Milford.
- In Milford, a larger share of residents have a bachelor's degree or higher at 36.0% compared to 20.2% in Shadyside.
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.