Demographics details for Cambridge, MD vs Union city, CA
Population Overview
Compare main population characteristics in Cambridge, MD vs Union city, CA.
Data | Cambridge | Union city |
---|---|---|
Population | 13,129 | 67,039 |
Median Age | 37.3 years | 41.3 years |
Median Income | $44,114 | $138,013 |
Married Families | 27.0% | 50.0% |
Poverty Level | 11% | 9% |
Unemployment Rate | 5.2 | 4.7 |
Population Comparison: Cambridge vs Union city
- The population in Union city is higher at 67,039, compared to 13,129 in Cambridge.
- The median age in Union city is higher at 41.3 years, compared to 37.3 years in Cambridge.
- Union city has a higher median income of $138,013, compared to $44,114 in Cambridge.
- In Union city, the percentage of married families is higher at 50.0%, compared to 27.0% in Cambridge.
- Cambridge has a higher poverty level at 11% compared to 9% in Union city.
- The unemployment rate in Cambridge is higher at 5.2%, compared to 4.7% in Union city.
Demographics
Demographics Cambridge vs Union city provide insight into the diversity of the communities to compare.
Demographic | Cambridge | Union city |
---|---|---|
Black | 44 | 5 |
White | 35 | 6 |
Asian | 2 | 58 |
Hispanic | 8 | 21 |
Two or More Races | 11 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: Cambridge vs Union city
- A higher percentage of Black residents are in Cambridge at 44% compared to 5% in Union city.
- Cambridge has a higher percentage of White residents at 35% compared to 6% in Union city.
- In Union city, the Asian population stands at 58%, greater than 2% in Cambridge.
- Union city has a higher percentage of Hispanic residents at 21%, compared to 8% in Cambridge.
- More residents identify as two or more races in Cambridge at 11% compared to 9% in Union city.
- In Union city, the percentage of American Indian residents is higher at 1%, compared to 0% in Cambridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cambridge | Union city |
---|---|---|
Mental Health Not Good | 18.2% | 12.8% |
Physical Health Not Good | 13.2% | 8.0% |
Depression | 20.3% | 13.9% |
Smoking | 20.9% | 8.6% |
Binge Drinking | 12.6% | 13.7% |
Obesity | 42.2% | 21.7% |
Disability Percentage | 18.0% | 9.0% |
Health Statistics Comparison: Cambridge vs Union city
- More residents in Cambridge report poor mental health at 18.2% compared to 12.8% in Union city.
- Depression is more prevalent in Cambridge at 20.3% compared to 13.9% in Union city.
- Smoking is more prevalent in Cambridge at 20.9% compared to 8.6% in Union city.
- More residents engage in binge drinking in Union city at 13.7% compared to 12.6% in Cambridge.
- Obesity rates are higher in Cambridge at 42.2% compared to 21.7% in Union city.
- Disability percentages are higher in Cambridge at 18.0% 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 | Cambridge | Union city |
---|---|---|
No Schooling | 0.9% (120) | 2.7% (1,812) |
High School Diploma | 22.1% (2,903) | 14.2% (9,499) |
Less than High School | 11.2% (1,477) | 15.3% (10,264) |
Bachelor's Degree and Higher | 13.6% (1,783) | 34.7% (23,285) |
Education Levels Comparison: Cambridge vs Union city
- In Union city, a larger percentage of residents lack formal schooling at 2.7% compared to 0.9% in Cambridge.
- A higher percentage of residents in Cambridge hold a high school diploma at 22.1% compared to 14.2% in Union city.
- The percentage of residents with less than a high school education is higher in Union city at 15.3%, compared to 11.2% in Cambridge.
- In Union city, a larger share of residents have a bachelor's degree or higher at 34.7% compared to 13.6% in Cambridge.
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.