Demographics details for Cambridge, MD vs Swan lake, NY
Population Overview
Compare main population characteristics in Cambridge, MD vs Swan lake, NY.
Data | Cambridge | Swan lake |
---|---|---|
Population | 13,129 | 331 |
Median Age | 37.3 years | 40.0 years |
Median Income | $44,114 | $55,000 |
Married Families | 27.0% | 52.0% |
Poverty Level | 11% | 5% |
Unemployment Rate | 5.2 | 3.0 |
Population Comparison: Cambridge vs Swan lake
- In Cambridge, the population is higher at 13,129, compared to 331 in Swan lake.
- The median age in Swan lake is higher at 40.0 years, compared to 37.3 years in Cambridge.
- Swan lake has a higher median income of $55,000, compared to $44,114 in Cambridge.
- In Swan lake, the percentage of married families is higher at 52.0%, compared to 27.0% in Cambridge.
- Cambridge has a higher poverty level at 11% compared to 5% in Swan lake.
- The unemployment rate in Cambridge is higher at 5.2%, compared to 3.0% in Swan lake.
Demographics
Demographics Cambridge vs Swan lake provide insight into the diversity of the communities to compare.
Demographic | Cambridge | Swan lake |
---|---|---|
Black | 44 | 5 |
White | 35 | 80 |
Asian | 2 | 10 |
Hispanic | 8 | 5 |
Two or More Races | 11 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cambridge vs Swan lake
- A higher percentage of Black residents are in Cambridge at 44% compared to 5% in Swan lake.
- The percentage of White residents is higher in Swan lake at 80% compared to 35% in Cambridge.
- In Swan lake, the Asian population stands at 10%, greater than 2% in Cambridge.
- The Hispanic community is larger in Cambridge at 8% compared to 5% in Swan lake.
- More residents identify as two or more races in Cambridge at 11% compared to 0% in Swan lake.
- The percentage of American Indian residents is the same in both Cambridge and Swan lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cambridge | Swan lake |
---|---|---|
Mental Health Not Good | 18.2% | Data is updating% |
Physical Health Not Good | 13.2% | Data is updating% |
Depression | 20.3% | Data is updating% |
Smoking | 20.9% | Data is updating% |
Binge Drinking | 12.6% | Data is updating% |
Obesity | 42.2% | Data is updating% |
Disability Percentage | 18.0% | Data is updating% |
Health Statistics Comparison: Cambridge vs Swan lake
- More residents in Cambridge report poor mental health at 18.2% compared to 0.0% in Swan lake.
- Depression is more prevalent in Cambridge at 20.3% compared to 0.0% in Swan lake.
- Smoking is more prevalent in Cambridge at 20.9% compared to 0.0% in Swan lake.
- Binge drinking is more common in Cambridge at 12.6% compared to 0.0% in Swan lake.
- Obesity rates are higher in Cambridge at 42.2% compared to 0.0% in Swan lake.
- Disability percentages are higher in Cambridge at 18.0% compared to 0.0% in Swan lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cambridge | Swan lake |
---|---|---|
No Schooling | 0.9% (120) | 0.0% (Data is updating) |
High School Diploma | 22.1% (2,903) | 0.0% (Data is updating) |
Less than High School | 11.2% (1,477) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 13.6% (1,783) | 0.0% (Data is updating) |
Education Levels Comparison: Cambridge vs Swan lake
- A higher percentage of residents in Cambridge have no formal schooling at 0.9% compared to 0.0% in Swan lake.
- A higher percentage of residents in Cambridge hold a high school diploma at 22.1% compared to 0.0% in Swan lake.
- More residents in Cambridge have less than a high school education at 11.2% compared to 0.0% in Swan lake.
- A higher percentage of residents in Cambridge hold a bachelor's degree or higher at 13.6% compared to 0.0% in Swan lake.
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.