Demographics details for Union city, CA vs Mount olive, MS
Population Overview
Compare main population characteristics in Union city, CA vs Mount olive, MS.
| Data | Union city | Mount olive |
|---|---|---|
| Population | 67,039 | 878 |
| Median Age | 41.3 years | 31.7 years |
| Median Income | $138,013 | $53,947 |
| Married Families | 50.0% | 49.0% |
| Poverty Level | 9% | 18% |
| Unemployment Rate | 4.7 | 6.5 |
Population Comparison: Union city vs Mount olive
- In Union city, the population is higher at 67,039, compared to 878 in Mount olive.
- Residents in Union city have a higher median age of 41.3 years compared to 31.7 years in Mount olive.
- Union city has a higher median income of $138,013 compared to $53,947 in Mount olive.
- A higher percentage of married families is found in Union city at 50.0% compared to 49.0% in Mount olive.
- The poverty level is higher in Mount olive at 18%, compared to 9% in Union city.
- Mount olive has a higher unemployment rate at 6.5% compared to 4.7% in Union city.
Demographics
Demographics Union city vs Mount olive provide insight into the diversity of the communities to compare.
| Demographic | Union city | Mount olive |
|---|---|---|
| Black | 5 | 120 |
| White | 6 | 145 |
| Asian | 58 | 2 |
| Hispanic | 21 | Data is updating |
| Two or More Races | 9 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Union city vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 5% in Union city.
- The percentage of White residents is higher in Mount olive at 145% compared to 6% in Union city.
- The Asian population is larger in Union city at 58% compared to 2% in Mount olive.
- The Hispanic community is larger in Union city at 21% compared to 0% in Mount olive.
- More residents identify as two or more races in Union city at 9% compared to 0% in Mount olive.
- A greater percentage of American Indian residents live in Union city at 1% compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Union city | Mount olive |
|---|---|---|
| Mental Health Not Good | 12.8% | 17.8% |
| Physical Health Not Good | 8.0% | 13.3% |
| Depression | 13.9% | 21.5% |
| Smoking | 8.6% | 21.3% |
| Binge Drinking | 13.7% | 13.0% |
| Obesity | 21.7% | 43.6% |
| Disability Percentage | 9.0% | 27.0% |
Health Statistics Comparison: Union city vs Mount olive
- In Mount olive, a higher percentage report poor mental health at 17.8% compared to 12.8% in Union city.
- Higher depression rates are seen in Mount olive at 21.5% versus 13.9% in Union city.
- Mount olive has a higher smoking rate at 21.3% compared to 8.6% in Union city.
- Binge drinking is more common in Union city at 13.7% compared to 13.0% in Mount olive.
- Mount olive has higher obesity rates at 43.6% compared to 21.7% in Union city.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% 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 | Mount olive |
|---|---|---|
| No Schooling | 2.7% (1,812) | 2.3% (20) |
| High School Diploma | 14.2% (9,499) | 23.9% (210) |
| Less than High School | 15.3% (10,264) | 14.9% (131) |
| Bachelor's Degree and Higher | 34.7% (23,285) | 13.0% (114) |
Education Levels Comparison: Union city vs Mount olive
- A higher percentage of residents in Union city have no formal schooling at 2.7% compared to 2.3% in Mount olive.
- In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 14.2% in Union city.
- More residents in Union city have less than a high school education at 15.3% compared to 14.9% in Mount olive.
- A higher percentage of residents in Union city hold a bachelor's degree or higher at 34.7% compared to 13.0% in Mount olive.
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.