Demographics details for Cambridge, OH vs Elk horn, IA
Population Overview
Compare main population characteristics in Cambridge, OH vs Elk horn, IA.
Data | Cambridge | Elk horn |
---|---|---|
Population | 9,985 | 619 |
Median Age | 35.1 years | 49.9 years |
Median Income | $39,589 | $59,306 |
Married Families | 28.0% | 35.0% |
Poverty Level | 16% | 9% |
Unemployment Rate | 4.5 | 3.6 |
Population Comparison: Cambridge vs Elk horn
- In Cambridge, the population is higher at 9,985, compared to 619 in Elk horn.
- The median age in Elk horn is higher at 49.9 years, compared to 35.1 years in Cambridge.
- Elk horn has a higher median income of $59,306, compared to $39,589 in Cambridge.
- In Elk horn, the percentage of married families is higher at 35.0%, compared to 28.0% in Cambridge.
- Cambridge has a higher poverty level at 16% compared to 9% in Elk horn.
- The unemployment rate in Cambridge is higher at 4.5%, compared to 3.6% in Elk horn.
Demographics
Demographics Cambridge vs Elk horn provide insight into the diversity of the communities to compare.
Demographic | Cambridge | Elk horn |
---|---|---|
Black | 6 | Data is updating |
White | 88 | 93 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 5 |
Two or More Races | 4 | 1 |
American Indian | Data is updating | 1 |
Demographics Comparison: Cambridge vs Elk horn
- A higher percentage of Black residents are in Cambridge at 6% compared to 0% in Elk horn.
- The percentage of White residents is higher in Elk horn at 93% compared to 88% in Cambridge.
- Both Cambridge and Elk horn have the same percentage of Asian residents at 0%.
- Elk horn has a higher percentage of Hispanic residents at 5%, compared to 2% in Cambridge.
- More residents identify as two or more races in Cambridge at 4% compared to 1% in Elk horn.
- In Elk horn, the percentage of American Indian residents is higher at 1%, compared to 0% in Cambridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cambridge | Elk horn |
---|---|---|
Mental Health Not Good | 20.4% | 14.8% |
Physical Health Not Good | 15.1% | 9.0% |
Depression | 25.9% | 18.0% |
Smoking | 26.2% | 16.3% |
Binge Drinking | 16.9% | 22.9% |
Obesity | 46.4% | 35.9% |
Disability Percentage | 19.0% | 8.0% |
Health Statistics Comparison: Cambridge vs Elk horn
- More residents in Cambridge report poor mental health at 20.4% compared to 14.8% in Elk horn.
- Depression is more prevalent in Cambridge at 25.9% compared to 18.0% in Elk horn.
- Smoking is more prevalent in Cambridge at 26.2% compared to 16.3% in Elk horn.
- More residents engage in binge drinking in Elk horn at 22.9% compared to 16.9% in Cambridge.
- Obesity rates are higher in Cambridge at 46.4% compared to 35.9% in Elk horn.
- Disability percentages are higher in Cambridge at 19.0% compared to 8.0% in Elk horn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cambridge | Elk horn |
---|---|---|
No Schooling | 0.7% (73) | 0.0% (Data is updating) |
High School Diploma | 25.1% (2,502) | 18.9% (117) |
Less than High School | 17.3% (1,732) | 7.1% (44) |
Bachelor's Degree and Higher | 8.8% (875) | 15.3% (95) |
Education Levels Comparison: Cambridge vs Elk horn
- A higher percentage of residents in Cambridge have no formal schooling at 0.7% compared to 0.0% in Elk horn.
- A higher percentage of residents in Cambridge hold a high school diploma at 25.1% compared to 18.9% in Elk horn.
- More residents in Cambridge have less than a high school education at 17.3% compared to 7.1% in Elk horn.
- In Elk horn, a larger share of residents have a bachelor's degree or higher at 15.3% 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.