Demographics details for Keyser, WV vs Milford, MA
Population Overview
Compare main population characteristics in Keyser, WV vs Milford, MA.
| Data | Keyser | Milford |
|---|---|---|
| Population | 4,849 | 27,999 |
| Median Age | 39.1 years | 43.5 years |
| Median Income | $46,724 | $98,896 |
| Married Families | 36.0% | 60.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 4.3 | 3.8 |
Population Comparison: Keyser vs Milford
- The population in Milford is higher at 27,999, compared to 4,849 in Keyser.
- The median age in Milford is higher at 43.5 years, compared to 39.1 years in Keyser.
- Milford has a higher median income of $98,896, compared to $46,724 in Keyser.
- In Milford, the percentage of married families is higher at 60.0%, compared to 36.0% in Keyser.
- Keyser has a higher poverty level at 15% compared to 5% in Milford.
- The unemployment rate in Keyser is higher at 4.3%, compared to 3.8% in Milford.
Demographics
Demographics Keyser vs Milford provide insight into the diversity of the communities to compare.
| Demographic | Keyser | Milford |
|---|---|---|
| Black | 4 | 5 |
| White | 95 | 87 |
| Asian | Data is updating | 5 |
| Hispanic | Data is updating | 3 |
| Two or More Races | 1 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Keyser vs Milford
- In Milford, the percentage of Black residents is higher at 5% compared to 4% in Keyser.
- Keyser has a higher percentage of White residents at 95% compared to 87% in Milford.
- In Milford, the Asian population stands at 5%, greater than 0% in Keyser.
- Milford has a higher percentage of Hispanic residents at 3%, compared to 0% in Keyser.
- Both Keyser and Milford have the same percentage of residents identifying as two or more races at 1%.
- The percentage of American Indian residents is the same in both Keyser and Milford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keyser | Milford |
|---|---|---|
| Mental Health Not Good | 20.0% | Data is updating% |
| Physical Health Not Good | 13.6% | Data is updating% |
| Depression | 27.3% | Data is updating% |
| Smoking | 20.8% | Data is updating% |
| Binge Drinking | 14.4% | Data is updating% |
| Obesity | 35.3% | Data is updating% |
| Disability Percentage | 20.0% | Data is updating% |
Health Statistics Comparison: Keyser vs Milford
- More residents in Keyser report poor mental health at 20.0% compared to 0.0% in Milford.
- Depression is more prevalent in Keyser at 27.3% compared to 0.0% in Milford.
- Smoking is more prevalent in Keyser at 20.8% compared to 0.0% in Milford.
- Binge drinking is more common in Keyser at 14.4% compared to 0.0% in Milford.
- Obesity rates are higher in Keyser at 35.3% compared to 0.0% in Milford.
- Disability percentages are higher in Keyser at 20.0% compared to 0.0% in Milford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Keyser | Milford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (1,081) | 0.0% (Data is updating) |
| Less than High School | 15.1% (734) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 18.8% (914) | 0.0% (Data is updating) |
Education Levels Comparison: Keyser vs Milford
- The percentage of residents with no formal schooling is the same in both Keyser and Milford at 0.0%.
- A higher percentage of residents in Keyser hold a high school diploma at 22.3% compared to 0.0% in Milford.
- More residents in Keyser have less than a high school education at 15.1% compared to 0.0% in Milford.
- A higher percentage of residents in Keyser hold a bachelor's degree or higher at 18.8% compared to 0.0% in Milford.
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.