Demographics details for Union city, CA vs Washta, IA
Population Overview
Compare main population characteristics in Union city, CA vs Washta, IA.
| Data | Union city | Washta |
|---|---|---|
| Population | 67,039 | 205 |
| Median Age | 41.3 years | 59.3 years |
| Median Income | $138,013 | $49,500 |
| Married Families | 50.0% | 32.0% |
| Poverty Level | 9% | 6% |
| Unemployment Rate | 4.7 | 2.3 |
Population Comparison: Union city vs Washta
- In Union city, the population is higher at 67,039, compared to 205 in Washta.
- The median age in Washta is higher at 59.3 years, compared to 41.3 years in Union city.
- Union city has a higher median income of $138,013 compared to $49,500 in Washta.
- A higher percentage of married families is found in Union city at 50.0% compared to 32.0% in Washta.
- Union city has a higher poverty level at 9% compared to 6% in Washta.
- The unemployment rate in Union city is higher at 4.7%, compared to 2.3% in Washta.
Demographics
Demographics Union city vs Washta provide insight into the diversity of the communities to compare.
| Demographic | Union city | Washta |
|---|---|---|
| Black | 5 | Data is updating |
| White | 6 | 94 |
| Asian | 58 | Data is updating |
| Hispanic | 21 | 4 |
| Two or More Races | 9 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Union city vs Washta
- A higher percentage of Black residents are in Union city at 5% compared to 0% in Washta.
- The percentage of White residents is higher in Washta at 94% compared to 6% in Union city.
- The Asian population is larger in Union city at 58% compared to 0% in Washta.
- The Hispanic community is larger in Union city at 21% compared to 4% in Washta.
- More residents identify as two or more races in Union city at 9% compared to 2% in Washta.
- A greater percentage of American Indian residents live in Union city at 1% compared to 0% in Washta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Union city | Washta |
|---|---|---|
| Mental Health Not Good | 12.8% | 15.6% |
| Physical Health Not Good | 8.0% | 9.3% |
| Depression | 13.9% | 19.0% |
| Smoking | 8.6% | 16.8% |
| Binge Drinking | 13.7% | 21.8% |
| Obesity | 21.7% | 40.8% |
| Disability Percentage | 9.0% | 17.0% |
Health Statistics Comparison: Union city vs Washta
- In Washta, a higher percentage report poor mental health at 15.6% compared to 12.8% in Union city.
- Higher depression rates are seen in Washta at 19.0% versus 13.9% in Union city.
- Washta has a higher smoking rate at 16.8% compared to 8.6% in Union city.
- More residents engage in binge drinking in Washta at 21.8% compared to 13.7% in Union city.
- Washta has higher obesity rates at 40.8% compared to 21.7% in Union city.
- There is a higher percentage of disabled individuals in Washta at 17.0% compared to 9.0% in Union city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Union city | Washta |
|---|---|---|
| No Schooling | 2.7% (1,812) | 0.0% (Data is updating) |
| High School Diploma | 14.2% (9,499) | 30.2% (62) |
| Less than High School | 15.3% (10,264) | 17.6% (36) |
| Bachelor's Degree and Higher | 34.7% (23,285) | 8.3% (17) |
Education Levels Comparison: Union city vs Washta
- A higher percentage of residents in Union city have no formal schooling at 2.7% compared to 0.0% in Washta.
- In Washta, the rate of residents with high school diplomas is higher at 30.2% compared to 14.2% in Union city.
- The percentage of residents with less than a high school education is higher in Washta at 17.6%, compared to 15.3% in Union city.
- A higher percentage of residents in Union city hold a bachelor's degree or higher at 34.7% compared to 8.3% in Washta.
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.