Demographics details for Cleveland, OH vs Cambridge, MD
Population Overview
Compare main population characteristics in Cleveland, OH vs Cambridge, MD.
| Data | Cleveland | Cambridge |
|---|---|---|
| Population | 361,607 | 13,129 |
| Median Age | 36.3 years | 37.3 years |
| Median Income | $37,271 | $44,114 |
| Married Families | 20.0% | 27.0% |
| Poverty Level | 23% | 11% |
| Unemployment Rate | 5.7 | 5.2 |
Population Comparison: Cleveland vs Cambridge
- In Cleveland, the population is higher at 361,607, compared to 13,129 in Cambridge.
- The median age in Cambridge is higher at 37.3 years, compared to 36.3 years in Cleveland.
- Cambridge has a higher median income of $44,114, compared to $37,271 in Cleveland.
- In Cambridge, the percentage of married families is higher at 27.0%, compared to 20.0% in Cleveland.
- Cleveland has a higher poverty level at 23% compared to 11% in Cambridge.
- The unemployment rate in Cleveland is higher at 5.7%, compared to 5.2% in Cambridge.
Demographics
Demographics Cleveland vs Cambridge provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Cambridge |
|---|---|---|
| Black | 48 | 44 |
| White | 28 | 35 |
| Asian | 3 | 2 |
| Hispanic | 13 | 8 |
| Two or More Races | 8 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Cambridge
- A higher percentage of Black residents are in Cleveland at 48% compared to 44% in Cambridge.
- The percentage of White residents is higher in Cambridge at 35% compared to 28% in Cleveland.
- The Asian population is larger in Cleveland at 3% compared to 2% in Cambridge.
- The Hispanic community is larger in Cleveland at 13% compared to 8% in Cambridge.
- The percentage of residents identifying as two or more races is higher in Cambridge at 11%, compared to 8% in Cleveland.
- The percentage of American Indian residents is the same in both Cleveland and Cambridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Cambridge |
|---|---|---|
| Mental Health Not Good | 20.2% | 18.2% |
| Physical Health Not Good | 16.6% | 13.2% |
| Depression | 24.0% | 20.3% |
| Smoking | 27.1% | 20.9% |
| Binge Drinking | 14.8% | 12.6% |
| Obesity | 42.1% | 42.2% |
| Disability Percentage | 20.0% | 18.0% |
Health Statistics Comparison: Cleveland vs Cambridge
- More residents in Cleveland report poor mental health at 20.2% compared to 18.2% in Cambridge.
- Depression is more prevalent in Cleveland at 24.0% compared to 20.3% in Cambridge.
- Smoking is more prevalent in Cleveland at 27.1% compared to 20.9% in Cambridge.
- Binge drinking is more common in Cleveland at 14.8% compared to 12.6% in Cambridge.
- Cambridge has higher obesity rates at 42.2% compared to 42.1% in Cleveland.
- Disability percentages are higher in Cleveland at 20.0% compared to 18.0% in Cambridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cleveland | Cambridge |
|---|---|---|
| No Schooling | 1.6% (5,667) | 0.9% (120) |
| High School Diploma | 19.0% (68,853) | 22.1% (2,903) |
| Less than High School | 17.5% (63,329) | 11.2% (1,477) |
| Bachelor's Degree and Higher | 14.3% (51,656) | 13.6% (1,783) |
Education Levels Comparison: Cleveland vs Cambridge
- A higher percentage of residents in Cleveland have no formal schooling at 1.6% compared to 0.9% in Cambridge.
- In Cambridge, the rate of residents with high school diplomas is higher at 22.1% compared to 19.0% in Cleveland.
- More residents in Cleveland have less than a high school education at 17.5% compared to 11.2% in Cambridge.
- A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 14.3% 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.