Demographics details for Martinsville, IN vs Sylvania, OH
Population Overview
Compare main population characteristics in Martinsville, IN vs Sylvania, OH.
| Data | Martinsville | Sylvania |
|---|---|---|
| Population | 11,858 | 19,051 |
| Median Age | 36.2 years | 42.1 years |
| Median Income | $57,383 | $86,048 |
| Married Families | 36.0% | 46.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Martinsville vs Sylvania
- The population in Sylvania is higher at 19,051, compared to 11,858 in Martinsville.
- The median age in Sylvania is higher at 42.1 years, compared to 36.2 years in Martinsville.
- Sylvania has a higher median income of $86,048, compared to $57,383 in Martinsville.
- In Sylvania, the percentage of married families is higher at 46.0%, compared to 36.0% in Martinsville.
- Martinsville has a higher poverty level at 12% compared to 5% in Sylvania.
- The unemployment rate is the same in both Martinsville and Sylvania at 3.5%.
Demographics
Demographics Martinsville vs Sylvania provide insight into the diversity of the communities to compare.
| Demographic | Martinsville | Sylvania |
|---|---|---|
| Black | 1 | 2 |
| White | 94 | 89 |
| Asian | 1 | 3 |
| Hispanic | 2 | 3 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Martinsville vs Sylvania
- In Sylvania, the percentage of Black residents is higher at 2% compared to 1% in Martinsville.
- Martinsville has a higher percentage of White residents at 94% compared to 89% in Sylvania.
- In Sylvania, the Asian population stands at 3%, greater than 1% in Martinsville.
- Sylvania has a higher percentage of Hispanic residents at 3%, compared to 2% in Martinsville.
- The percentage of residents identifying as two or more races is higher in Sylvania at 3%, compared to 2% in Martinsville.
- The percentage of American Indian residents is the same in both Martinsville and Sylvania at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Martinsville | Sylvania |
|---|---|---|
| Mental Health Not Good | 18.9% | 15.5% |
| Physical Health Not Good | 13.2% | 8.7% |
| Depression | 27.9% | 22.9% |
| Smoking | 23.4% | 13.5% |
| Binge Drinking | 18.0% | 18.1% |
| Obesity | 39.7% | 35.0% |
| Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Martinsville vs Sylvania
- More residents in Martinsville report poor mental health at 18.9% compared to 15.5% in Sylvania.
- Depression is more prevalent in Martinsville at 27.9% compared to 22.9% in Sylvania.
- Smoking is more prevalent in Martinsville at 23.4% compared to 13.5% in Sylvania.
- More residents engage in binge drinking in Sylvania at 18.1% compared to 18.0% in Martinsville.
- Obesity rates are higher in Martinsville at 39.7% compared to 35.0% in Sylvania.
- Disability percentages are higher in Martinsville at 15.0% compared to 10.0% in Sylvania.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Martinsville | Sylvania |
|---|---|---|
| No Schooling | 0.9% (101) | 0.0% (7) |
| High School Diploma | 22.5% (2,671) | 12.1% (2,300) |
| Less than High School | 19.7% (2,340) | 3.1% (587) |
| Bachelor's Degree and Higher | 8.4% (1,001) | 35.1% (6,680) |
Education Levels Comparison: Martinsville vs Sylvania
- A higher percentage of residents in Martinsville have no formal schooling at 0.9% compared to 0.0% in Sylvania.
- A higher percentage of residents in Martinsville hold a high school diploma at 22.5% compared to 12.1% in Sylvania.
- More residents in Martinsville have less than a high school education at 19.7% compared to 3.1% in Sylvania.
- In Sylvania, a larger share of residents have a bachelor's degree or higher at 35.1% 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.