Demographics details for Trinity, TX vs Augusta, KY
Population Overview
Compare main population characteristics in Trinity, TX vs Augusta, KY.
Data | Trinity | Augusta |
---|---|---|
Population | 13,996 | 1,098 |
Median Age | 50.1 years | 36.4 years |
Median Income | $51,165 | $50,135 |
Married Families | 44.0% | 41.0% |
Poverty Level | 17% | 10% |
Unemployment Rate | 5.6 | 4.5 |
Population Comparison: Trinity vs Augusta
- In Trinity, the population is higher at 13,996, compared to 1,098 in Augusta.
- Residents in Trinity have a higher median age of 50.1 years compared to 36.4 years in Augusta.
- Trinity has a higher median income of $51,165 compared to $50,135 in Augusta.
- A higher percentage of married families is found in Trinity at 44.0% compared to 41.0% in Augusta.
- Trinity has a higher poverty level at 17% compared to 10% in Augusta.
- The unemployment rate in Trinity is higher at 5.6%, compared to 4.5% in Augusta.
Demographics
Demographics Trinity vs Augusta provide insight into the diversity of the communities to compare.
Demographic | Trinity | Augusta |
---|---|---|
Black | 8 | 2 |
White | 76 | 86 |
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 | 12 |
Demographics Comparison: Trinity vs Augusta
- A higher percentage of Black residents are in Trinity at 8% compared to 2% in Augusta.
- The percentage of White residents is higher in Augusta at 86% compared to 76% in Trinity.
- Both Trinity and Augusta have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Trinity at 11% compared to 0% in Augusta.
- More residents identify as two or more races in Trinity at 5% compared to 0% in Augusta.
- In Augusta, the percentage of American Indian residents is higher at 12%, compared to 0% in Trinity.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Trinity | Augusta |
---|---|---|
Mental Health Not Good | 19.7% | 20.0% |
Physical Health Not Good | 13.7% | 14.8% |
Depression | 26.4% | 28.9% |
Smoking | 21.2% | 24.3% |
Binge Drinking | 17.9% | 15.3% |
Obesity | 39.2% | 38.1% |
Disability Percentage | 24.0% | 24.0% |
Health Statistics Comparison: Trinity vs Augusta
- In Augusta, a higher percentage report poor mental health at 20.0% compared to 19.7% in Trinity.
- Higher depression rates are seen in Augusta at 28.9% versus 26.4% in Trinity.
- Augusta has a higher smoking rate at 24.3% compared to 21.2% in Trinity.
- Binge drinking is more common in Trinity at 17.9% compared to 15.3% in Augusta.
- Obesity rates are higher in Trinity at 39.2% compared to 38.1% in Augusta.
- Disability percentages are the same in both Trinity and Augusta at 24.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Trinity | Augusta |
---|---|---|
No Schooling | 0.5% (70) | 0.5% (5) |
High School Diploma | 22.2% (3,102) | 33.2% (365) |
Less than High School | 18.1% (2,540) | 18.9% (208) |
Bachelor's Degree and Higher | 10.6% (1,481) | 24.3% (267) |
Education Levels Comparison: Trinity vs Augusta
- The percentage of residents with no formal schooling is the same in both Trinity and Augusta at 0.5%.
- In Augusta, the rate of residents with high school diplomas is higher at 33.2% compared to 22.2% in Trinity.
- The percentage of residents with less than a high school education is higher in Augusta at 18.9%, compared to 18.1% in Trinity.
- In Augusta, a larger share of residents have a bachelor's degree or higher at 24.3% 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.