Demographics details for Cambridge, MD vs Pearisburg, VA
Population Overview
Compare main population characteristics in Cambridge, MD vs Pearisburg, VA.
Data | Cambridge | Pearisburg |
---|---|---|
Population | 13,129 | 2,832 |
Median Age | 37.3 years | 46.5 years |
Median Income | $44,114 | $70,905 |
Married Families | 27.0% | 43.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Cambridge vs Pearisburg
- In Cambridge, the population is higher at 13,129, compared to 2,832 in Pearisburg.
- The median age in Pearisburg is higher at 46.5 years, compared to 37.3 years in Cambridge.
- Pearisburg has a higher median income of $70,905, compared to $44,114 in Cambridge.
- In Pearisburg, the percentage of married families is higher at 43.0%, compared to 27.0% in Cambridge.
- Cambridge has a higher poverty level at 11% compared to 10% in Pearisburg.
- The unemployment rate in Cambridge is higher at 5.2%, compared to 3.5% in Pearisburg.
Demographics
Demographics Cambridge vs Pearisburg provide insight into the diversity of the communities to compare.
Demographic | Cambridge | Pearisburg |
---|---|---|
Black | 44 | 10 |
White | 35 | 89 |
Asian | 2 | Data is updating |
Hispanic | 8 | 1 |
Two or More Races | 11 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cambridge vs Pearisburg
- A higher percentage of Black residents are in Cambridge at 44% compared to 10% in Pearisburg.
- The percentage of White residents is higher in Pearisburg at 89% compared to 35% in Cambridge.
- The Asian population is larger in Cambridge at 2% compared to 0% in Pearisburg.
- The Hispanic community is larger in Cambridge at 8% compared to 1% in Pearisburg.
- More residents identify as two or more races in Cambridge at 11% compared to 0% in Pearisburg.
- The percentage of American Indian residents is the same in both Cambridge and Pearisburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cambridge | Pearisburg |
---|---|---|
Mental Health Not Good | 18.2% | 18.2% |
Physical Health Not Good | 13.2% | 12.0% |
Depression | 20.3% | 24.8% |
Smoking | 20.9% | 19.5% |
Binge Drinking | 12.6% | 17.8% |
Obesity | 42.2% | 36.0% |
Disability Percentage | 18.0% | 14.0% |
Health Statistics Comparison: Cambridge vs Pearisburg
- Poor mental health levels are equal in both Cambridge and Pearisburg at 18.2%.
- Higher depression rates are seen in Pearisburg at 24.8% versus 20.3% in Cambridge.
- Smoking is more prevalent in Cambridge at 20.9% compared to 19.5% in Pearisburg.
- More residents engage in binge drinking in Pearisburg at 17.8% compared to 12.6% in Cambridge.
- Obesity rates are higher in Cambridge at 42.2% compared to 36.0% in Pearisburg.
- Disability percentages are higher in Cambridge at 18.0% compared to 14.0% in Pearisburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cambridge | Pearisburg |
---|---|---|
No Schooling | 0.9% (120) | 0.7% (20) |
High School Diploma | 22.1% (2,903) | 33.2% (939) |
Less than High School | 11.2% (1,477) | 7.0% (199) |
Bachelor's Degree and Higher | 13.6% (1,783) | 15.0% (426) |
Education Levels Comparison: Cambridge vs Pearisburg
- A higher percentage of residents in Cambridge have no formal schooling at 0.9% compared to 0.7% in Pearisburg.
- In Pearisburg, the rate of residents with high school diplomas is higher at 33.2% compared to 22.1% in Cambridge.
- More residents in Cambridge have less than a high school education at 11.2% compared to 7.0% in Pearisburg.
- In Pearisburg, a larger share of residents have a bachelor's degree or higher at 15.0% 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.