Demographics details for Martinsville, IN vs Oxford, NC
Population Overview
Compare main population characteristics in Martinsville, IN vs Oxford, NC.
| Data | Martinsville | Oxford |
|---|---|---|
| Population | 11,858 | 8,771 |
| Median Age | 36.2 years | 43.1 years |
| Median Income | $57,383 | $42,016 |
| Married Families | 36.0% | 29.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Martinsville vs Oxford
- In Martinsville, the population is higher at 11,858, compared to 8,771 in Oxford.
- The median age in Oxford is higher at 43.1 years, compared to 36.2 years in Martinsville.
- Martinsville has a higher median income of $57,383 compared to $42,016 in Oxford.
- A higher percentage of married families is found in Martinsville at 36.0% compared to 29.0% in Oxford.
- The poverty level is identical in both Martinsville and Oxford at 12%.
- Oxford has a higher unemployment rate at 4.1% compared to 3.5% in Martinsville.
Demographics
Demographics Martinsville vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Martinsville | Oxford |
|---|---|---|
| Black | 1 | 55 |
| White | 94 | 31 |
| Asian | 1 | 1 |
| Hispanic | 2 | 6 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Martinsville vs Oxford
- In Oxford, the percentage of Black residents is higher at 55% compared to 1% in Martinsville.
- Martinsville has a higher percentage of White residents at 94% compared to 31% in Oxford.
- Both Martinsville and Oxford have the same percentage of Asian residents at 1%.
- Oxford has a higher percentage of Hispanic residents at 6%, compared to 2% in Martinsville.
- The percentage of residents identifying as two or more races is higher in Oxford at 7%, compared to 2% in Martinsville.
- The percentage of American Indian residents is the same in both Martinsville and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Martinsville | Oxford |
|---|---|---|
| Mental Health Not Good | 18.9% | 17.7% |
| Physical Health Not Good | 13.2% | 13.3% |
| Depression | 27.9% | 22.8% |
| Smoking | 23.4% | 20.8% |
| Binge Drinking | 18.0% | 14.8% |
| Obesity | 39.7% | 45.0% |
| Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: Martinsville vs Oxford
- More residents in Martinsville report poor mental health at 18.9% compared to 17.7% in Oxford.
- Depression is more prevalent in Martinsville at 27.9% compared to 22.8% in Oxford.
- Smoking is more prevalent in Martinsville at 23.4% compared to 20.8% in Oxford.
- Binge drinking is more common in Martinsville at 18.0% compared to 14.8% in Oxford.
- Oxford has higher obesity rates at 45.0% compared to 39.7% in Martinsville.
- Disability percentages are the same in both Martinsville and Oxford at 15.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Martinsville | Oxford |
|---|---|---|
| No Schooling | 0.9% (101) | 2.9% (256) |
| High School Diploma | 22.5% (2,671) | 15.8% (1,386) |
| Less than High School | 19.7% (2,340) | 11.2% (980) |
| Bachelor's Degree and Higher | 8.4% (1,001) | 16.6% (1,457) |
Education Levels Comparison: Martinsville vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 2.9% compared to 0.9% in Martinsville.
- A higher percentage of residents in Martinsville hold a high school diploma at 22.5% compared to 15.8% in Oxford.
- More residents in Martinsville have less than a high school education at 19.7% compared to 11.2% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 8.4% in Martinsville.
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.