Demographics details for Cambridge, OH vs Mount vernon, TX
Population Overview
Compare main population characteristics in Cambridge, OH vs Mount vernon, TX.
Data | Cambridge | Mount vernon |
---|---|---|
Population | 9,985 | 2,541 |
Median Age | 35.1 years | 31.1 years |
Median Income | $39,589 | $63,750 |
Married Families | 28.0% | 40.0% |
Poverty Level | 16% | 10% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Cambridge vs Mount vernon
- In Cambridge, the population is higher at 9,985, compared to 2,541 in Mount vernon.
- Residents in Cambridge have a higher median age of 35.1 years compared to 31.1 years in Mount vernon.
- Mount vernon has a higher median income of $63,750, compared to $39,589 in Cambridge.
- In Mount vernon, the percentage of married families is higher at 40.0%, compared to 28.0% in Cambridge.
- Cambridge has a higher poverty level at 16% compared to 10% in Mount vernon.
- The unemployment rate is the same in both Cambridge and Mount vernon at 4.5%.
Demographics
Demographics Cambridge vs Mount vernon provide insight into the diversity of the communities to compare.
Demographic | Cambridge | Mount vernon |
---|---|---|
Black | 6 | 15 |
White | 88 | 50 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 21 |
Two or More Races | 4 | 14 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cambridge vs Mount vernon
- In Mount vernon, the percentage of Black residents is higher at 15% compared to 6% in Cambridge.
- Cambridge has a higher percentage of White residents at 88% compared to 50% in Mount vernon.
- Both Cambridge and Mount vernon have the same percentage of Asian residents at 0%.
- Mount vernon has a higher percentage of Hispanic residents at 21%, compared to 2% in Cambridge.
- The percentage of residents identifying as two or more races is higher in Mount vernon at 14%, compared to 4% in Cambridge.
- The percentage of American Indian residents is the same in both Cambridge and Mount vernon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cambridge | Mount vernon |
---|---|---|
Mental Health Not Good | 20.4% | 18.1% |
Physical Health Not Good | 15.1% | 11.8% |
Depression | 25.9% | 24.9% |
Smoking | 26.2% | 17.6% |
Binge Drinking | 16.9% | 18.5% |
Obesity | 46.4% | 35.4% |
Disability Percentage | 19.0% | 17.0% |
Health Statistics Comparison: Cambridge vs Mount vernon
- More residents in Cambridge report poor mental health at 20.4% compared to 18.1% in Mount vernon.
- Depression is more prevalent in Cambridge at 25.9% compared to 24.9% in Mount vernon.
- Smoking is more prevalent in Cambridge at 26.2% compared to 17.6% in Mount vernon.
- More residents engage in binge drinking in Mount vernon at 18.5% compared to 16.9% in Cambridge.
- Obesity rates are higher in Cambridge at 46.4% compared to 35.4% in Mount vernon.
- Disability percentages are higher in Cambridge at 19.0% compared to 17.0% in Mount vernon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cambridge | Mount vernon |
---|---|---|
No Schooling | 0.7% (73) | 0.6% (16) |
High School Diploma | 25.1% (2,502) | 15.7% (399) |
Less than High School | 17.3% (1,732) | 21.8% (555) |
Bachelor's Degree and Higher | 8.8% (875) | 11.1% (282) |
Education Levels Comparison: Cambridge vs Mount vernon
- A higher percentage of residents in Cambridge have no formal schooling at 0.7% compared to 0.6% in Mount vernon.
- A higher percentage of residents in Cambridge hold a high school diploma at 25.1% compared to 15.7% in Mount vernon.
- The percentage of residents with less than a high school education is higher in Mount vernon at 21.8%, compared to 17.3% in Cambridge.
- In Mount vernon, a larger share of residents have a bachelor's degree or higher at 11.1% compared to 8.8% 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.