Demographics details for Cambridge, OH vs Marshall, MI
Population Overview
Compare main population characteristics in Cambridge, OH vs Marshall, MI.
| Data | Cambridge | Marshall |
|---|---|---|
| Population | 9,985 | 6,753 |
| Median Age | 35.1 years | 45.4 years |
| Median Income | $39,589 | $72,813 |
| Married Families | 28.0% | 43.0% |
| Poverty Level | 16% | 9% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Cambridge vs Marshall
- In Cambridge, the population is higher at 9,985, compared to 6,753 in Marshall.
- The median age in Marshall is higher at 45.4 years, compared to 35.1 years in Cambridge.
- Marshall has a higher median income of $72,813, compared to $39,589 in Cambridge.
- In Marshall, the percentage of married families is higher at 43.0%, compared to 28.0% in Cambridge.
- Cambridge has a higher poverty level at 16% compared to 9% in Marshall.
- The unemployment rate in Cambridge is higher at 4.5%, compared to 4.2% in Marshall.
Demographics
Demographics Cambridge vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Cambridge | Marshall |
|---|---|---|
| Black | 6 | Data is updating |
| White | 88 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 4 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cambridge vs Marshall
- A higher percentage of Black residents are in Cambridge at 6% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 94% compared to 88% in Cambridge.
- Both Cambridge and Marshall have the same percentage of Asian residents at 0%.
- Marshall has a higher percentage of Hispanic residents at 4%, compared to 2% in Cambridge.
- More residents identify as two or more races in Cambridge at 4% compared to 2% in Marshall.
- The percentage of American Indian residents is the same in both Cambridge and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cambridge | Marshall |
|---|---|---|
| Mental Health Not Good | 20.4% | 17.0% |
| Physical Health Not Good | 15.1% | 10.6% |
| Depression | 25.9% | 25.2% |
| Smoking | 26.2% | 17.3% |
| Binge Drinking | 16.9% | 18.0% |
| Obesity | 46.4% | 37.5% |
| Disability Percentage | 19.0% | 11.0% |
Health Statistics Comparison: Cambridge vs Marshall
- More residents in Cambridge report poor mental health at 20.4% compared to 17.0% in Marshall.
- Depression is more prevalent in Cambridge at 25.9% compared to 25.2% in Marshall.
- Smoking is more prevalent in Cambridge at 26.2% compared to 17.3% in Marshall.
- More residents engage in binge drinking in Marshall at 18.0% compared to 16.9% in Cambridge.
- Obesity rates are higher in Cambridge at 46.4% compared to 37.5% in Marshall.
- Disability percentages are higher in Cambridge at 19.0% compared to 11.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cambridge | Marshall |
|---|---|---|
| No Schooling | 0.7% (73) | 0.7% (46) |
| High School Diploma | 25.1% (2,502) | 15.8% (1,067) |
| Less than High School | 17.3% (1,732) | 7.3% (493) |
| Bachelor's Degree and Higher | 8.8% (875) | 33.1% (2,233) |
Education Levels Comparison: Cambridge vs Marshall
- The percentage of residents with no formal schooling is the same in both Cambridge and Marshall at 0.7%.
- A higher percentage of residents in Cambridge hold a high school diploma at 25.1% compared to 15.8% in Marshall.
- More residents in Cambridge have less than a high school education at 17.3% compared to 7.3% in Marshall.
- In Marshall, a larger share of residents have a bachelor's degree or higher at 33.1% 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.