Demographics details for Swansea, MA vs Cambridge, MD
Population Overview
Compare main population characteristics in Swansea, MA vs Cambridge, MD.
Data | Swansea | Cambridge |
---|---|---|
Population | 16,705 | 13,129 |
Median Age | 42.0 years | 37.3 years |
Median Income | $71,000 | $44,114 |
Married Families | 60.0% | 27.0% |
Poverty Level | 7% | 11% |
Unemployment Rate | 3.4 | 5.2 |
Population Comparison: Swansea vs Cambridge
- In Swansea, the population is higher at 16,705, compared to 13,129 in Cambridge.
- Residents in Swansea have a higher median age of 42.0 years compared to 37.3 years in Cambridge.
- Swansea has a higher median income of $71,000 compared to $44,114 in Cambridge.
- A higher percentage of married families is found in Swansea at 60.0% compared to 27.0% in Cambridge.
- The poverty level is higher in Cambridge at 11%, compared to 7% in Swansea.
- Cambridge has a higher unemployment rate at 5.2% compared to 3.4% in Swansea.
Demographics
Demographics Swansea vs Cambridge provide insight into the diversity of the communities to compare.
Demographic | Swansea | Cambridge |
---|---|---|
Black | 2 | 44 |
White | 90 | 35 |
Asian | 1 | 2 |
Hispanic | 5 | 8 |
Two or More Races | 2 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Swansea vs Cambridge
- In Cambridge, the percentage of Black residents is higher at 44% compared to 2% in Swansea.
- Swansea has a higher percentage of White residents at 90% compared to 35% in Cambridge.
- In Cambridge, the Asian population stands at 2%, greater than 1% in Swansea.
- Cambridge has a higher percentage of Hispanic residents at 8%, compared to 5% in Swansea.
- The percentage of residents identifying as two or more races is higher in Cambridge at 11%, compared to 2% in Swansea.
- The percentage of American Indian residents is the same in both Swansea and Cambridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Swansea | Cambridge |
---|---|---|
Mental Health Not Good | Data is updating% | 18.2% |
Physical Health Not Good | Data is updating% | 13.2% |
Depression | Data is updating% | 20.3% |
Smoking | Data is updating% | 20.9% |
Binge Drinking | Data is updating% | 12.6% |
Obesity | Data is updating% | 42.2% |
Disability Percentage | Data is updating% | 18.0% |
Health Statistics Comparison: Swansea vs Cambridge
- In Cambridge, a higher percentage report poor mental health at 18.2% compared to 0.0% in Swansea.
- Higher depression rates are seen in Cambridge at 20.3% versus 0.0% in Swansea.
- Cambridge has a higher smoking rate at 20.9% compared to 0.0% in Swansea.
- More residents engage in binge drinking in Cambridge at 12.6% compared to 0.0% in Swansea.
- Cambridge has higher obesity rates at 42.2% compared to 0.0% in Swansea.
- There is a higher percentage of disabled individuals in Cambridge at 18.0% compared to 0.0% in Swansea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Swansea | Cambridge |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.9% (120) |
High School Diploma | 0.0% (Data is updating) | 22.1% (2,903) |
Less than High School | 0.0% (Data is updating) | 11.2% (1,477) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.6% (1,783) |
Education Levels Comparison: Swansea vs Cambridge
- In Cambridge, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Swansea.
- In Cambridge, the rate of residents with high school diplomas is higher at 22.1% compared to 0.0% in Swansea.
- The percentage of residents with less than a high school education is higher in Cambridge at 11.2%, compared to 0.0% in Swansea.
- In Cambridge, a larger share of residents have a bachelor's degree or higher at 13.6% compared to 0.0% in Swansea.
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.