Demographics details for Cullman, AL vs Cambridge, OH
Population Overview
Compare main population characteristics in Cullman, AL vs Cambridge, OH.
| Data | Cullman | Cambridge |
|---|---|---|
| Population | 19,251 | 9,985 |
| Median Age | 42.0 years | 35.1 years |
| Median Income | $59,982 | $39,589 |
| Married Families | 39.0% | 28.0% |
| Poverty Level | 12% | 16% |
| Unemployment Rate | 4.3 | 4.5 |
Population Comparison: Cullman vs Cambridge
- In Cullman, the population is higher at 19,251, compared to 9,985 in Cambridge.
- Residents in Cullman have a higher median age of 42.0 years compared to 35.1 years in Cambridge.
- Cullman has a higher median income of $59,982 compared to $39,589 in Cambridge.
- A higher percentage of married families is found in Cullman at 39.0% compared to 28.0% in Cambridge.
- The poverty level is higher in Cambridge at 16%, compared to 12% in Cullman.
- Cambridge has a higher unemployment rate at 4.5% compared to 4.3% in Cullman.
Demographics
Demographics Cullman vs Cambridge provide insight into the diversity of the communities to compare.
| Demographic | Cullman | Cambridge |
|---|---|---|
| Black | 1 | 6 |
| White | 92 | 88 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 2 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cullman vs Cambridge
- In Cambridge, the percentage of Black residents is higher at 6% compared to 1% in Cullman.
- Cullman has a higher percentage of White residents at 92% compared to 88% in Cambridge.
- The Asian population is larger in Cullman at 1% compared to 0% in Cambridge.
- The percentage of Hispanic residents is the same in both Cullman and Cambridge at 2%.
- Both Cullman and Cambridge have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Cullman and Cambridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cullman | Cambridge |
|---|---|---|
| Mental Health Not Good | 18.5% | 20.4% |
| Physical Health Not Good | 12.6% | 15.1% |
| Depression | 24.9% | 25.9% |
| Smoking | 18.2% | 26.2% |
| Binge Drinking | 16.4% | 16.9% |
| Obesity | 37.5% | 46.4% |
| Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Cullman vs Cambridge
- In Cambridge, a higher percentage report poor mental health at 20.4% compared to 18.5% in Cullman.
- Higher depression rates are seen in Cambridge at 25.9% versus 24.9% in Cullman.
- Cambridge has a higher smoking rate at 26.2% compared to 18.2% in Cullman.
- More residents engage in binge drinking in Cambridge at 16.9% compared to 16.4% in Cullman.
- Cambridge has higher obesity rates at 46.4% compared to 37.5% in Cullman.
- There is a higher percentage of disabled individuals in Cambridge at 19.0% compared to 14.0% in Cullman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cullman | Cambridge |
|---|---|---|
| No Schooling | 0.7% (130) | 0.7% (73) |
| High School Diploma | 13.6% (2,614) | 25.1% (2,502) |
| Less than High School | 13.0% (2,512) | 17.3% (1,732) |
| Bachelor's Degree and Higher | 22.1% (4,253) | 8.8% (875) |
Education Levels Comparison: Cullman vs Cambridge
- The percentage of residents with no formal schooling is the same in both Cullman and Cambridge at 0.7%.
- In Cambridge, the rate of residents with high school diplomas is higher at 25.1% compared to 13.6% in Cullman.
- The percentage of residents with less than a high school education is higher in Cambridge at 17.3%, compared to 13.0% in Cullman.
- A higher percentage of residents in Cullman hold a bachelor's degree or higher at 22.1% 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.