Demographics details for Newnan, GA vs Martinsburg, WV
Population Overview
Compare main population characteristics in Newnan, GA vs Martinsburg, WV.
| Data | Newnan | Martinsburg |
|---|---|---|
| Population | 44,485 | 18,953 |
| Median Age | 35.0 years | 36.4 years |
| Median Income | $74,606 | $55,240 |
| Married Families | 36.0% | 29.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Newnan vs Martinsburg
- In Newnan, the population is higher at 44,485, compared to 18,953 in Martinsburg.
- The median age in Martinsburg is higher at 36.4 years, compared to 35.0 years in Newnan.
- Newnan has a higher median income of $74,606 compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Newnan at 36.0% compared to 29.0% in Martinsburg.
- Newnan has a higher poverty level at 10% compared to 8% in Martinsburg.
- Martinsburg has a higher unemployment rate at 4.5% compared to 4.1% in Newnan.
Demographics
Demographics Newnan vs Martinsburg provide insight into the diversity of the communities to compare.
| Demographic | Newnan | Martinsburg |
|---|---|---|
| Black | 34 | 13 |
| White | 48 | 69 |
| Asian | 3 | 1 |
| Hispanic | 8 | 6 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Newnan vs Martinsburg
- A higher percentage of Black residents are in Newnan at 34% compared to 13% in Martinsburg.
- The percentage of White residents is higher in Martinsburg at 69% compared to 48% in Newnan.
- The Asian population is larger in Newnan at 3% compared to 1% in Martinsburg.
- The Hispanic community is larger in Newnan at 8% compared to 6% in Martinsburg.
- The percentage of residents identifying as two or more races is higher in Martinsburg at 11%, compared to 7% in Newnan.
- The percentage of American Indian residents is the same in both Newnan and Martinsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Newnan | Martinsburg |
|---|---|---|
| Mental Health Not Good | 16.7% | 21.8% |
| Physical Health Not Good | 12.1% | 15.8% |
| Depression | 20.4% | 27.7% |
| Smoking | 16.3% | 24.7% |
| Binge Drinking | 15.7% | 12.6% |
| Obesity | 36.3% | 43.0% |
| Disability Percentage | 9.0% | 17.0% |
Health Statistics Comparison: Newnan vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 16.7% in Newnan.
- Higher depression rates are seen in Martinsburg at 27.7% versus 20.4% in Newnan.
- Martinsburg has a higher smoking rate at 24.7% compared to 16.3% in Newnan.
- Binge drinking is more common in Newnan at 15.7% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 36.3% in Newnan.
- There is a higher percentage of disabled individuals in Martinsburg at 17.0% compared to 9.0% in Newnan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Newnan | Martinsburg |
|---|---|---|
| No Schooling | 0.3% (150) | 0.8% (144) |
| High School Diploma | 12.5% (5,575) | 16.7% (3,171) |
| Less than High School | 9.0% (3,998) | 13.5% (2,556) |
| Bachelor's Degree and Higher | 24.3% (10,809) | 16.2% (3,077) |
Education Levels Comparison: Newnan vs Martinsburg
- In Martinsburg, a larger percentage of residents lack formal schooling at 0.8% compared to 0.3% in Newnan.
- In Martinsburg, the rate of residents with high school diplomas is higher at 16.7% compared to 12.5% in Newnan.
- The percentage of residents with less than a high school education is higher in Martinsburg at 13.5%, compared to 9.0% in Newnan.
- A higher percentage of residents in Newnan hold a bachelor's degree or higher at 24.3% compared to 16.2% in Martinsburg.
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.