Demographics details for Trinity, TX vs Hardy, KY
Population Overview
Compare main population characteristics in Trinity, TX vs Hardy, KY.
| Data | Trinity | Hardy |
|---|---|---|
| Population | 13,996 | 129 |
| Median Age | 50.1 years | 40.0 years |
| Median Income | $51,165 | $40,000 |
| Married Families | 44.0% | 30.0% |
| Poverty Level | 17% | 20% |
| Unemployment Rate | 5.6 | 5.0 |
Population Comparison: Trinity vs Hardy
- In Trinity, the population is higher at 13,996, compared to 129 in Hardy.
- Residents in Trinity have a higher median age of 50.1 years compared to 40.0 years in Hardy.
- Trinity has a higher median income of $51,165 compared to $40,000 in Hardy.
- A higher percentage of married families is found in Trinity at 44.0% compared to 30.0% in Hardy.
- The poverty level is higher in Hardy at 20%, compared to 17% in Trinity.
- The unemployment rate in Trinity is higher at 5.6%, compared to 5.0% in Hardy.
Demographics
Demographics Trinity vs Hardy provide insight into the diversity of the communities to compare.
| Demographic | Trinity | Hardy |
|---|---|---|
| Black | 8 | Data is updating |
| White | 76 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 11 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Trinity vs Hardy
- A higher percentage of Black residents are in Trinity at 8% compared to 0% in Hardy.
- The percentage of White residents is higher in Hardy at 100% compared to 76% in Trinity.
- Both Trinity and Hardy have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Trinity at 11% compared to 0% in Hardy.
- More residents identify as two or more races in Trinity at 5% compared to 0% in Hardy.
- The percentage of American Indian residents is the same in both Trinity and Hardy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Trinity | Hardy |
|---|---|---|
| Mental Health Not Good | 19.7% | Data is updating% |
| Physical Health Not Good | 13.7% | Data is updating% |
| Depression | 26.4% | Data is updating% |
| Smoking | 21.2% | Data is updating% |
| Binge Drinking | 17.9% | Data is updating% |
| Obesity | 39.2% | Data is updating% |
| Disability Percentage | 24.0% | Data is updating% |
Health Statistics Comparison: Trinity vs Hardy
- More residents in Trinity report poor mental health at 19.7% compared to 0.0% in Hardy.
- Depression is more prevalent in Trinity at 26.4% compared to 0.0% in Hardy.
- Smoking is more prevalent in Trinity at 21.2% compared to 0.0% in Hardy.
- Binge drinking is more common in Trinity at 17.9% compared to 0.0% in Hardy.
- Obesity rates are higher in Trinity at 39.2% compared to 0.0% in Hardy.
- Disability percentages are higher in Trinity at 24.0% compared to 0.0% in Hardy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Trinity | Hardy |
|---|---|---|
| No Schooling | 0.5% (70) | 0.0% (Data is updating) |
| High School Diploma | 22.2% (3,102) | 0.0% (Data is updating) |
| Less than High School | 18.1% (2,540) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.6% (1,481) | 0.0% (Data is updating) |
Education Levels Comparison: Trinity vs Hardy
- A higher percentage of residents in Trinity have no formal schooling at 0.5% compared to 0.0% in Hardy.
- A higher percentage of residents in Trinity hold a high school diploma at 22.2% compared to 0.0% in Hardy.
- More residents in Trinity have less than a high school education at 18.1% compared to 0.0% in Hardy.
- A higher percentage of residents in Trinity hold a bachelor's degree or higher at 10.6% compared to 0.0% in Hardy.
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.