Demographics details for Ashville, OH vs Trinity, TX
Population Overview
Compare main population characteristics in Ashville, OH vs Trinity, TX.
| Data | Ashville | Trinity |
|---|---|---|
| Population | 4,689 | 13,996 |
| Median Age | 35.1 years | 50.1 years |
| Median Income | $60,293 | $51,165 |
| Married Families | 38.0% | 44.0% |
| Poverty Level | 8% | 17% |
| Unemployment Rate | 3.5 | 5.6 |
Population Comparison: Ashville vs Trinity
- The population in Trinity is higher at 13,996, compared to 4,689 in Ashville.
- The median age in Trinity is higher at 50.1 years, compared to 35.1 years in Ashville.
- Ashville has a higher median income of $60,293 compared to $51,165 in Trinity.
- In Trinity, the percentage of married families is higher at 44.0%, compared to 38.0% in Ashville.
- The poverty level is higher in Trinity at 17%, compared to 8% in Ashville.
- Trinity has a higher unemployment rate at 5.6% compared to 3.5% in Ashville.
Demographics
Demographics Ashville vs Trinity provide insight into the diversity of the communities to compare.
| Demographic | Ashville | Trinity |
|---|---|---|
| Black | 3 | 8 |
| White | 91 | 76 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 11 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ashville vs Trinity
- In Trinity, the percentage of Black residents is higher at 8% compared to 3% in Ashville.
- Ashville has a higher percentage of White residents at 91% compared to 76% in Trinity.
- Both Ashville and Trinity have the same percentage of Asian residents at 0%.
- Trinity has a higher percentage of Hispanic residents at 11%, compared to 4% in Ashville.
- The percentage of residents identifying as two or more races is higher in Trinity at 5%, compared to 2% in Ashville.
- The percentage of American Indian residents is the same in both Ashville and Trinity at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ashville | Trinity |
|---|---|---|
| Mental Health Not Good | 17.6% | 19.7% |
| Physical Health Not Good | 11.7% | 13.7% |
| Depression | 24.6% | 26.4% |
| Smoking | 20.6% | 21.2% |
| Binge Drinking | 18.7% | 17.9% |
| Obesity | 41.1% | 39.2% |
| Disability Percentage | 19.0% | 24.0% |
Health Statistics Comparison: Ashville vs Trinity
- In Trinity, a higher percentage report poor mental health at 19.7% compared to 17.6% in Ashville.
- Higher depression rates are seen in Trinity at 26.4% versus 24.6% in Ashville.
- Trinity has a higher smoking rate at 21.2% compared to 20.6% in Ashville.
- Binge drinking is more common in Ashville at 18.7% compared to 17.9% in Trinity.
- Obesity rates are higher in Ashville at 41.1% compared to 39.2% in Trinity.
- There is a higher percentage of disabled individuals in Trinity at 24.0% compared to 19.0% in Ashville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ashville | Trinity |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (70) |
| High School Diploma | 25.7% (1,206) | 22.2% (3,102) |
| Less than High School | 10.2% (476) | 18.1% (2,540) |
| Bachelor's Degree and Higher | 8.4% (392) | 10.6% (1,481) |
Education Levels Comparison: Ashville vs Trinity
- In Trinity, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Ashville.
- A higher percentage of residents in Ashville hold a high school diploma at 25.7% compared to 22.2% in Trinity.
- The percentage of residents with less than a high school education is higher in Trinity at 18.1%, compared to 10.2% in Ashville.
- In Trinity, a larger share of residents have a bachelor's degree or higher at 10.6% compared to 8.4% in Ashville.
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.