Demographics details for Blue springs, MO vs Cambridge, MD
Population Overview
Compare main population characteristics in Blue springs, MO vs Cambridge, MD.
Data | Blue springs | Cambridge |
---|---|---|
Population | 59,518 | 13,129 |
Median Age | 36.6 years | 37.3 years |
Median Income | $82,965 | $44,114 |
Married Families | 42.0% | 27.0% |
Poverty Level | 9% | 11% |
Unemployment Rate | 3.7 | 5.2 |
Population Comparison: Blue springs vs Cambridge
- In Blue springs, the population is higher at 59,518, compared to 13,129 in Cambridge.
- The median age in Cambridge is higher at 37.3 years, compared to 36.6 years in Blue springs.
- Blue springs has a higher median income of $82,965 compared to $44,114 in Cambridge.
- A higher percentage of married families is found in Blue springs at 42.0% compared to 27.0% in Cambridge.
- The poverty level is higher in Cambridge at 11%, compared to 9% in Blue springs.
- Cambridge has a higher unemployment rate at 5.2% compared to 3.7% in Blue springs.
Demographics
Demographics Blue springs vs Cambridge provide insight into the diversity of the communities to compare.
Demographic | Blue springs | Cambridge |
---|---|---|
Black | 7 | 44 |
White | 79 | 35 |
Asian | 1 | 2 |
Hispanic | 7 | 8 |
Two or More Races | 6 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Blue springs vs Cambridge
- In Cambridge, the percentage of Black residents is higher at 44% compared to 7% in Blue springs.
- Blue springs has a higher percentage of White residents at 79% compared to 35% in Cambridge.
- In Cambridge, the Asian population stands at 2%, greater than 1% in Blue springs.
- Cambridge has a higher percentage of Hispanic residents at 8%, compared to 7% in Blue springs.
- The percentage of residents identifying as two or more races is higher in Cambridge at 11%, compared to 6% in Blue springs.
- The percentage of American Indian residents is the same in both Blue springs and Cambridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Blue springs | Cambridge |
---|---|---|
Mental Health Not Good | 17.3% | 18.2% |
Physical Health Not Good | 10.4% | 13.2% |
Depression | 22.8% | 20.3% |
Smoking | 15.6% | 20.9% |
Binge Drinking | 21.5% | 12.6% |
Obesity | 34.7% | 42.2% |
Disability Percentage | 10.0% | 18.0% |
Health Statistics Comparison: Blue springs vs Cambridge
- In Cambridge, a higher percentage report poor mental health at 18.2% compared to 17.3% in Blue springs.
- Depression is more prevalent in Blue springs at 22.8% compared to 20.3% in Cambridge.
- Cambridge has a higher smoking rate at 20.9% compared to 15.6% in Blue springs.
- Binge drinking is more common in Blue springs at 21.5% compared to 12.6% in Cambridge.
- Cambridge has higher obesity rates at 42.2% compared to 34.7% in Blue springs.
- There is a higher percentage of disabled individuals in Cambridge at 18.0% compared to 10.0% in Blue springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Blue springs | Cambridge |
---|---|---|
No Schooling | 0.3% (178) | 0.9% (120) |
High School Diploma | 16.5% (9,835) | 22.1% (2,903) |
Less than High School | 4.9% (2,932) | 11.2% (1,477) |
Bachelor's Degree and Higher | 21.8% (12,992) | 13.6% (1,783) |
Education Levels Comparison: Blue springs vs Cambridge
- In Cambridge, a larger percentage of residents lack formal schooling at 0.9% compared to 0.3% in Blue springs.
- In Cambridge, the rate of residents with high school diplomas is higher at 22.1% compared to 16.5% in Blue springs.
- The percentage of residents with less than a high school education is higher in Cambridge at 11.2%, compared to 4.9% in Blue springs.
- A higher percentage of residents in Blue springs hold a bachelor's degree or higher at 21.8% 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.