Demographics details for Gas city, IN vs Martinsburg, WV
Population Overview
Compare main population characteristics in Gas city, IN vs Martinsburg, WV.
| Data | Gas city | Martinsburg |
|---|---|---|
| Population | 6,076 | 18,953 |
| Median Age | 44.7 years | 36.4 years |
| Median Income | $58,778 | $55,240 |
| Married Families | 44.0% | 29.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Gas city vs Martinsburg
- The population in Martinsburg is higher at 18,953, compared to 6,076 in Gas city.
- Residents in Gas city have a higher median age of 44.7 years compared to 36.4 years in Martinsburg.
- Gas city has a higher median income of $58,778 compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Gas city at 44.0% compared to 29.0% in Martinsburg.
- Gas city has a higher poverty level at 12% compared to 8% in Martinsburg.
- Martinsburg has a higher unemployment rate at 4.5% compared to 3.5% in Gas city.
Demographics
Demographics Gas city vs Martinsburg provide insight into the diversity of the communities to compare.
| Demographic | Gas city | Martinsburg |
|---|---|---|
| Black | 2 | 13 |
| White | 85 | 69 |
| Asian | 1 | 1 |
| Hispanic | 6 | 6 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gas city vs Martinsburg
- In Martinsburg, the percentage of Black residents is higher at 13% compared to 2% in Gas city.
- Gas city has a higher percentage of White residents at 85% compared to 69% in Martinsburg.
- Both Gas city and Martinsburg have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Gas city and Martinsburg at 6%.
- The percentage of residents identifying as two or more races is higher in Martinsburg at 11%, compared to 6% in Gas city.
- The percentage of American Indian residents is the same in both Gas city and Martinsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gas city | Martinsburg |
|---|---|---|
| Mental Health Not Good | 19.6% | 21.8% |
| Physical Health Not Good | 13.6% | 15.8% |
| Depression | 29.1% | 27.7% |
| Smoking | 24.8% | 24.7% |
| Binge Drinking | 16.6% | 12.6% |
| Obesity | 40.2% | 43.0% |
| Disability Percentage | 20.0% | 17.0% |
Health Statistics Comparison: Gas city vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 19.6% in Gas city.
- Depression is more prevalent in Gas city at 29.1% compared to 27.7% in Martinsburg.
- Smoking is more prevalent in Gas city at 24.8% compared to 24.7% in Martinsburg.
- Binge drinking is more common in Gas city at 16.6% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 40.2% in Gas city.
- Disability percentages are higher in Gas city at 20.0% 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 | Gas city | Martinsburg |
|---|---|---|
| No Schooling | 0.3% (18) | 0.8% (144) |
| High School Diploma | 28.6% (1,740) | 16.7% (3,171) |
| Less than High School | 11.1% (675) | 13.5% (2,556) |
| Bachelor's Degree and Higher | 12.4% (754) | 16.2% (3,077) |
Education Levels Comparison: Gas city vs Martinsburg
- In Martinsburg, a larger percentage of residents lack formal schooling at 0.8% compared to 0.3% in Gas city.
- A higher percentage of residents in Gas city hold a high school diploma at 28.6% compared to 16.7% in Martinsburg.
- The percentage of residents with less than a high school education is higher in Martinsburg at 13.5%, compared to 11.1% in Gas city.
- In Martinsburg, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 12.4% in Gas city.
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.