Demographics details for Union city, CA vs Severna park, MD
Population Overview
Compare main population characteristics in Union city, CA vs Severna park, MD.
Data | Union city | Severna park |
---|---|---|
Population | 67,039 | 40,452 |
Median Age | 41.3 years | 41.5 years |
Median Income | $138,013 | $164,288 |
Married Families | 50.0% | 48.0% |
Poverty Level | 9% | 3% |
Unemployment Rate | 4.7 | 3.2 |
Population Comparison: Union city vs Severna park
- In Union city, the population is higher at 67,039, compared to 40,452 in Severna park.
- The median age in Severna park is higher at 41.5 years, compared to 41.3 years in Union city.
- Severna park has a higher median income of $164,288, compared to $138,013 in Union city.
- A higher percentage of married families is found in Union city at 50.0% compared to 48.0% in Severna park.
- Union city has a higher poverty level at 9% compared to 3% in Severna park.
- The unemployment rate in Union city is higher at 4.7%, compared to 3.2% in Severna park.
Demographics
Demographics Union city vs Severna park provide insight into the diversity of the communities to compare.
Demographic | Union city | Severna park |
---|---|---|
Black | 5 | 3 |
White | 6 | 86 |
Asian | 58 | 3 |
Hispanic | 21 | 3 |
Two or More Races | 9 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Union city vs Severna park
- A higher percentage of Black residents are in Union city at 5% compared to 3% in Severna park.
- The percentage of White residents is higher in Severna park at 86% compared to 6% in Union city.
- The Asian population is larger in Union city at 58% compared to 3% in Severna park.
- The Hispanic community is larger in Union city at 21% compared to 3% in Severna park.
- More residents identify as two or more races in Union city at 9% compared to 5% in Severna park.
- A greater percentage of American Indian residents live in Union city at 1% compared to 0% in Severna park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Union city | Severna park |
---|---|---|
Mental Health Not Good | 12.8% | 13.1% |
Physical Health Not Good | 8.0% | 7.3% |
Depression | 13.9% | 19.9% |
Smoking | 8.6% | 9.0% |
Binge Drinking | 13.7% | 18.4% |
Obesity | 21.7% | 31.9% |
Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Union city vs Severna park
- In Severna park, a higher percentage report poor mental health at 13.1% compared to 12.8% in Union city.
- Higher depression rates are seen in Severna park at 19.9% versus 13.9% in Union city.
- Severna park has a higher smoking rate at 9.0% compared to 8.6% in Union city.
- More residents engage in binge drinking in Severna park at 18.4% compared to 13.7% in Union city.
- Severna park has higher obesity rates at 31.9% compared to 21.7% in Union city.
- Disability percentages are higher in Union city at 9.0% compared to 8.0% in Severna park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Union city | Severna park |
---|---|---|
No Schooling | 2.7% (1,812) | 0.4% (145) |
High School Diploma | 14.2% (9,499) | 10.9% (4,392) |
Less than High School | 15.3% (10,264) | 4.3% (1,731) |
Bachelor's Degree and Higher | 34.7% (23,285) | 38.1% (15,411) |
Education Levels Comparison: Union city vs Severna park
- A higher percentage of residents in Union city have no formal schooling at 2.7% compared to 0.4% in Severna park.
- A higher percentage of residents in Union city hold a high school diploma at 14.2% compared to 10.9% in Severna park.
- More residents in Union city have less than a high school education at 15.3% compared to 4.3% in Severna park.
- In Severna park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 34.7% in Union city.
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.