Demographics details for Springfield, MA vs Keyser, WV
Population Overview
Compare main population characteristics in Springfield, MA vs Keyser, WV.
| Data | Springfield | Keyser |
|---|---|---|
| Population | 154,064 | 4,849 |
| Median Age | 33.4 years | 39.1 years |
| Median Income | $47,677 | $46,724 |
| Married Families | 26.0% | 36.0% |
| Poverty Level | 20% | 15% |
| Unemployment Rate | 6.9 | 4.3 |
Population Comparison: Springfield vs Keyser
- In Springfield, the population is higher at 154,064, compared to 4,849 in Keyser.
- The median age in Keyser is higher at 39.1 years, compared to 33.4 years in Springfield.
- Springfield has a higher median income of $47,677 compared to $46,724 in Keyser.
- In Keyser, the percentage of married families is higher at 36.0%, compared to 26.0% in Springfield.
- Springfield has a higher poverty level at 20% compared to 15% in Keyser.
- The unemployment rate in Springfield is higher at 6.9%, compared to 4.3% in Keyser.
Demographics
Demographics Springfield vs Keyser provide insight into the diversity of the communities to compare.
| Demographic | Springfield | Keyser |
|---|---|---|
| Black | 21 | 4 |
| White | 8 | 95 |
| Asian | 3 | Data is updating |
| Hispanic | 49 | Data is updating |
| Two or More Races | 19 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Keyser
- A higher percentage of Black residents are in Springfield at 21% compared to 4% in Keyser.
- The percentage of White residents is higher in Keyser at 95% compared to 8% in Springfield.
- The Asian population is larger in Springfield at 3% compared to 0% in Keyser.
- The Hispanic community is larger in Springfield at 49% compared to 0% in Keyser.
- More residents identify as two or more races in Springfield at 19% compared to 1% in Keyser.
- The percentage of American Indian residents is the same in both Springfield and Keyser at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Springfield | Keyser |
|---|---|---|
| Mental Health Not Good | 21.2% | 20.0% |
| Physical Health Not Good | 14.9% | 13.6% |
| Depression | 25.8% | 27.3% |
| Smoking | 19.9% | 20.8% |
| Binge Drinking | 14.3% | 14.4% |
| Obesity | 40.8% | 35.3% |
| Disability Percentage | 19.0% | 20.0% |
Health Statistics Comparison: Springfield vs Keyser
- More residents in Springfield report poor mental health at 21.2% compared to 20.0% in Keyser.
- Higher depression rates are seen in Keyser at 27.3% versus 25.8% in Springfield.
- Keyser has a higher smoking rate at 20.8% compared to 19.9% in Springfield.
- More residents engage in binge drinking in Keyser at 14.4% compared to 14.3% in Springfield.
- Obesity rates are higher in Springfield at 40.8% compared to 35.3% in Keyser.
- There is a higher percentage of disabled individuals in Keyser at 20.0% compared to 19.0% in Springfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Springfield | Keyser |
|---|---|---|
| No Schooling | 2.0% (3,005) | 0.0% (Data is updating) |
| High School Diploma | 16.7% (25,679) | 22.3% (1,081) |
| Less than High School | 23.8% (36,663) | 15.1% (734) |
| Bachelor's Degree and Higher | 12.7% (19,500) | 18.8% (914) |
Education Levels Comparison: Springfield vs Keyser
- A higher percentage of residents in Springfield have no formal schooling at 2.0% compared to 0.0% in Keyser.
- In Keyser, the rate of residents with high school diplomas is higher at 22.3% compared to 16.7% in Springfield.
- More residents in Springfield have less than a high school education at 23.8% compared to 15.1% in Keyser.
- In Keyser, a larger share of residents have a bachelor's degree or higher at 18.8% compared to 12.7% in Springfield.
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.