Demographics details for Union city, CA vs Indian trail, NC
Population Overview
Compare main population characteristics in Union city, CA vs Indian trail, NC.
Data | Union city | Indian trail |
---|---|---|
Population | 67,039 | 41,724 |
Median Age | 41.3 years | 36.1 years |
Median Income | $138,013 | $95,101 |
Married Families | 50.0% | 45.0% |
Poverty Level | 9% | 6% |
Unemployment Rate | 4.7 | 3.8 |
Population Comparison: Union city vs Indian trail
- In Union city, the population is higher at 67,039, compared to 41,724 in Indian trail.
- Residents in Union city have a higher median age of 41.3 years compared to 36.1 years in Indian trail.
- Union city has a higher median income of $138,013 compared to $95,101 in Indian trail.
- A higher percentage of married families is found in Union city at 50.0% compared to 45.0% in Indian trail.
- Union city has a higher poverty level at 9% compared to 6% in Indian trail.
- The unemployment rate in Union city is higher at 4.7%, compared to 3.8% in Indian trail.
Demographics
Demographics Union city vs Indian trail provide insight into the diversity of the communities to compare.
Demographic | Union city | Indian trail |
---|---|---|
Black | 5 | 9 |
White | 6 | 71 |
Asian | 58 | 3 |
Hispanic | 21 | 11 |
Two or More Races | 9 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Union city vs Indian trail
- In Indian trail, the percentage of Black residents is higher at 9% compared to 5% in Union city.
- The percentage of White residents is higher in Indian trail at 71% compared to 6% in Union city.
- The Asian population is larger in Union city at 58% compared to 3% in Indian trail.
- The Hispanic community is larger in Union city at 21% compared to 11% in Indian trail.
- More residents identify as two or more races in Union city at 9% compared to 6% in Indian trail.
- A greater percentage of American Indian residents live in Union city at 1% compared to 0% in Indian trail.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Union city | Indian trail |
---|---|---|
Mental Health Not Good | 12.8% | 14.6% |
Physical Health Not Good | 8.0% | 9.3% |
Depression | 13.9% | 22.0% |
Smoking | 8.6% | 13.5% |
Binge Drinking | 13.7% | 18.5% |
Obesity | 21.7% | 31.2% |
Disability Percentage | 9.0% | 7.0% |
Health Statistics Comparison: Union city vs Indian trail
- In Indian trail, a higher percentage report poor mental health at 14.6% compared to 12.8% in Union city.
- Higher depression rates are seen in Indian trail at 22.0% versus 13.9% in Union city.
- Indian trail has a higher smoking rate at 13.5% compared to 8.6% in Union city.
- More residents engage in binge drinking in Indian trail at 18.5% compared to 13.7% in Union city.
- Indian trail has higher obesity rates at 31.2% compared to 21.7% in Union city.
- Disability percentages are higher in Union city at 9.0% compared to 7.0% in Indian trail.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Union city | Indian trail |
---|---|---|
No Schooling | 2.7% (1,812) | 0.7% (287) |
High School Diploma | 14.2% (9,499) | 12.8% (5,353) |
Less than High School | 15.3% (10,264) | 6.6% (2,761) |
Bachelor's Degree and Higher | 34.7% (23,285) | 24.4% (10,201) |
Education Levels Comparison: Union city vs Indian trail
- A higher percentage of residents in Union city have no formal schooling at 2.7% compared to 0.7% in Indian trail.
- A higher percentage of residents in Union city hold a high school diploma at 14.2% compared to 12.8% in Indian trail.
- More residents in Union city have less than a high school education at 15.3% compared to 6.6% in Indian trail.
- A higher percentage of residents in Union city hold a bachelor's degree or higher at 34.7% compared to 24.4% in Indian trail.
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.