Demographics details for Martinsburg, WV vs Paris, TX
Population Overview
Compare main population characteristics in Martinsburg, WV vs Paris, TX.
| Data | Martinsburg | Paris |
|---|---|---|
| Population | 18,953 | 24,695 |
| Median Age | 36.4 years | 36.0 years |
| Median Income | $55,240 | $44,022 |
| Married Families | 29.0% | 30.0% |
| Poverty Level | 8% | 16% |
| Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Martinsburg vs Paris
- The population in Paris is higher at 24,695, compared to 18,953 in Martinsburg.
- Residents in Martinsburg have a higher median age of 36.4 years compared to 36.0 years in Paris.
- Martinsburg has a higher median income of $55,240 compared to $44,022 in Paris.
- In Paris, the percentage of married families is higher at 30.0%, compared to 29.0% in Martinsburg.
- The poverty level is higher in Paris at 16%, compared to 8% in Martinsburg.
- Paris has a higher unemployment rate at 5.0% compared to 4.5% in Martinsburg.
Demographics
Demographics Martinsburg vs Paris provide insight into the diversity of the communities to compare.
| Demographic | Martinsburg | Paris |
|---|---|---|
| Black | 13 | 23 |
| White | 69 | 58 |
| Asian | 1 | 2 |
| Hispanic | 6 | 10 |
| Two or More Races | 11 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Martinsburg vs Paris
- In Paris, the percentage of Black residents is higher at 23% compared to 13% in Martinsburg.
- Martinsburg has a higher percentage of White residents at 69% compared to 58% in Paris.
- In Paris, the Asian population stands at 2%, greater than 1% in Martinsburg.
- Paris has a higher percentage of Hispanic residents at 10%, compared to 6% in Martinsburg.
- More residents identify as two or more races in Martinsburg at 11% compared to 7% in Paris.
- The percentage of American Indian residents is the same in both Martinsburg and Paris at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Martinsburg | Paris |
|---|---|---|
| Mental Health Not Good | 21.8% | 20.6% |
| Physical Health Not Good | 15.8% | 14.6% |
| Depression | 27.7% | 25.4% |
| Smoking | 24.7% | 23.5% |
| Binge Drinking | 12.6% | 16.5% |
| Obesity | 43.0% | 40.6% |
| Disability Percentage | 17.0% | 19.0% |
Health Statistics Comparison: Martinsburg vs Paris
- More residents in Martinsburg report poor mental health at 21.8% compared to 20.6% in Paris.
- Depression is more prevalent in Martinsburg at 27.7% compared to 25.4% in Paris.
- Smoking is more prevalent in Martinsburg at 24.7% compared to 23.5% in Paris.
- More residents engage in binge drinking in Paris at 16.5% compared to 12.6% in Martinsburg.
- Obesity rates are higher in Martinsburg at 43.0% compared to 40.6% in Paris.
- There is a higher percentage of disabled individuals in Paris 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 | Paris |
|---|---|---|
| No Schooling | 0.8% (144) | 1.7% (416) |
| High School Diploma | 16.7% (3,171) | 18.3% (4,511) |
| Less than High School | 13.5% (2,556) | 15.4% (3,793) |
| Bachelor's Degree and Higher | 16.2% (3,077) | 13.4% (3,308) |
Education Levels Comparison: Martinsburg vs Paris
- In Paris, a larger percentage of residents lack formal schooling at 1.7% compared to 0.8% in Martinsburg.
- In Paris, the rate of residents with high school diplomas is higher at 18.3% compared to 16.7% in Martinsburg.
- The percentage of residents with less than a high school education is higher in Paris at 15.4%, compared to 13.5% in Martinsburg.
- A higher percentage of residents in Martinsburg hold a bachelor's degree or higher at 16.2% compared to 13.4% in Paris.
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.