Demographics details for Martinsburg, WV vs Springfield, KY
Population Overview
Compare main population characteristics in Martinsburg, WV vs Springfield, KY.
Data | Martinsburg | Springfield |
---|---|---|
Population | 18,953 | 2,876 |
Median Age | 36.4 years | 36.8 years |
Median Income | $55,240 | $48,333 |
Married Families | 29.0% | 30.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Martinsburg vs Springfield
- In Martinsburg, the population is higher at 18,953, compared to 2,876 in Springfield.
- The median age in Springfield is higher at 36.8 years, compared to 36.4 years in Martinsburg.
- Martinsburg has a higher median income of $55,240 compared to $48,333 in Springfield.
- In Springfield, the percentage of married families is higher at 30.0%, compared to 29.0% in Martinsburg.
- The poverty level is higher in Springfield at 12%, compared to 8% in Martinsburg.
- The unemployment rate in Martinsburg is higher at 4.5%, compared to 3.2% in Springfield.
Demographics
Demographics Martinsburg vs Springfield provide insight into the diversity of the communities to compare.
Demographic | Martinsburg | Springfield |
---|---|---|
Black | 13 | 19 |
White | 69 | 70 |
Asian | 1 | 1 |
Hispanic | 6 | 2 |
Two or More Races | 11 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Martinsburg vs Springfield
- In Springfield, the percentage of Black residents is higher at 19% compared to 13% in Martinsburg.
- The percentage of White residents is higher in Springfield at 70% compared to 69% in Martinsburg.
- Both Martinsburg and Springfield have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Martinsburg at 6% compared to 2% in Springfield.
- More residents identify as two or more races in Martinsburg at 11% compared to 8% in Springfield.
- The percentage of American Indian residents is the same in both Martinsburg and Springfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Martinsburg | Springfield |
---|---|---|
Mental Health Not Good | 21.8% | 18.5% |
Physical Health Not Good | 15.8% | 13.6% |
Depression | 27.7% | 26.3% |
Smoking | 24.7% | 20.2% |
Binge Drinking | 12.6% | 14.2% |
Obesity | 43.0% | 44.2% |
Disability Percentage | 17.0% | 19.0% |
Health Statistics Comparison: Martinsburg vs Springfield
- More residents in Martinsburg report poor mental health at 21.8% compared to 18.5% in Springfield.
- Depression is more prevalent in Martinsburg at 27.7% compared to 26.3% in Springfield.
- Smoking is more prevalent in Martinsburg at 24.7% compared to 20.2% in Springfield.
- More residents engage in binge drinking in Springfield at 14.2% compared to 12.6% in Martinsburg.
- Springfield has higher obesity rates at 44.2% compared to 43.0% in Martinsburg.
- There is a higher percentage of disabled individuals in Springfield at 19.0% compared to 17.0% in Martinsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Martinsburg | Springfield |
---|---|---|
No Schooling | 0.8% (144) | 0.6% (16) |
High School Diploma | 16.7% (3,171) | 28.3% (815) |
Less than High School | 13.5% (2,556) | 8.4% (242) |
Bachelor's Degree and Higher | 16.2% (3,077) | 15.3% (440) |
Education Levels Comparison: Martinsburg vs Springfield
- A higher percentage of residents in Martinsburg have no formal schooling at 0.8% compared to 0.6% in Springfield.
- In Springfield, the rate of residents with high school diplomas is higher at 28.3% compared to 16.7% in Martinsburg.
- More residents in Martinsburg have less than a high school education at 13.5% compared to 8.4% in Springfield.
- A higher percentage of residents in Martinsburg hold a bachelor's degree or higher at 16.2% compared to 15.3% 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.