Demographics details for Trinity, TX vs Orange, CA
Population Overview
Compare main population characteristics in Trinity, TX vs Orange, CA.
| Data | Trinity | Orange |
|---|---|---|
| Population | 13,996 | 136,178 |
| Median Age | 50.1 years | 36.5 years |
| Median Income | $51,165 | $109,335 |
| Married Families | 44.0% | 40.0% |
| Poverty Level | 17% | 9% |
| Unemployment Rate | 5.6 | 4.1 |
Population Comparison: Trinity vs Orange
- The population in Orange is higher at 136,178, compared to 13,996 in Trinity.
- Residents in Trinity have a higher median age of 50.1 years compared to 36.5 years in Orange.
- Orange has a higher median income of $109,335, compared to $51,165 in Trinity.
- A higher percentage of married families is found in Trinity at 44.0% compared to 40.0% in Orange.
- Trinity has a higher poverty level at 17% compared to 9% in Orange.
- The unemployment rate in Trinity is higher at 5.6%, compared to 4.1% in Orange.
Demographics
Demographics Trinity vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Trinity | Orange |
|---|---|---|
| Black | 8 | 2 |
| White | 76 | 29 |
| Asian | Data is updating | 14 |
| Hispanic | 11 | 40 |
| Two or More Races | 5 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Trinity vs Orange
- A higher percentage of Black residents are in Trinity at 8% compared to 2% in Orange.
- Trinity has a higher percentage of White residents at 76% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 0% in Trinity.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 11% in Trinity.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 5% in Trinity.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Trinity.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Trinity | Orange |
|---|---|---|
| Mental Health Not Good | 19.7% | 14.9% |
| Physical Health Not Good | 13.7% | 10.2% |
| Depression | 26.4% | 17.9% |
| Smoking | 21.2% | 10.5% |
| Binge Drinking | 17.9% | 16.8% |
| Obesity | 39.2% | 27.1% |
| Disability Percentage | 24.0% | 8.0% |
Health Statistics Comparison: Trinity vs Orange
- More residents in Trinity report poor mental health at 19.7% compared to 14.9% in Orange.
- Depression is more prevalent in Trinity at 26.4% compared to 17.9% in Orange.
- Smoking is more prevalent in Trinity at 21.2% compared to 10.5% in Orange.
- Binge drinking is more common in Trinity at 17.9% compared to 16.8% in Orange.
- Obesity rates are higher in Trinity at 39.2% compared to 27.1% in Orange.
- Disability percentages are higher in Trinity at 24.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Trinity | Orange |
|---|---|---|
| No Schooling | 0.5% (70) | 1.8% (2,483) |
| High School Diploma | 22.2% (3,102) | 11.0% (14,986) |
| Less than High School | 18.1% (2,540) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 10.6% (1,481) | 28.2% (38,372) |
Education Levels Comparison: Trinity vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 0.5% in Trinity.
- A higher percentage of residents in Trinity hold a high school diploma at 22.2% compared to 11.0% in Orange.
- More residents in Trinity have less than a high school education at 18.1% compared to 15.5% in Orange.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 10.6% in Trinity.
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.