Demographics details for Cambridge, OH vs Irma, WI
Population Overview
Compare main population characteristics in Cambridge, OH vs Irma, WI.
| Data | Cambridge | Irma |
|---|---|---|
| Population | 9,985 | 137 |
| Median Age | 35.1 years | 48.5 years |
| Median Income | $39,589 | $60,500 |
| Married Families | 28.0% | 58.0% |
| Poverty Level | 16% | 6% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Cambridge vs Irma
- In Cambridge, the population is higher at 9,985, compared to 137 in Irma.
- The median age in Irma is higher at 48.5 years, compared to 35.1 years in Cambridge.
- Irma has a higher median income of $60,500, compared to $39,589 in Cambridge.
- In Irma, the percentage of married families is higher at 58.0%, compared to 28.0% in Cambridge.
- Cambridge has a higher poverty level at 16% compared to 6% in Irma.
- The unemployment rate in Cambridge is higher at 4.5%, compared to 3.5% in Irma.
Demographics
Demographics Cambridge vs Irma provide insight into the diversity of the communities to compare.
| Demographic | Cambridge | Irma |
|---|---|---|
| Black | 6 | Data is updating |
| White | 88 | 99.2 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 0.8 |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cambridge vs Irma
- A higher percentage of Black residents are in Cambridge at 6% compared to 0% in Irma.
- The percentage of White residents is higher in Irma at 99.2% compared to 88% in Cambridge.
- Both Cambridge and Irma have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Cambridge at 2% compared to 0.8% in Irma.
- More residents identify as two or more races in Cambridge at 4% compared to 0% in Irma.
- The percentage of American Indian residents is the same in both Cambridge and Irma at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cambridge | Irma |
|---|---|---|
| Mental Health Not Good | 20.4% | Data is updating% |
| Physical Health Not Good | 15.1% | Data is updating% |
| Depression | 25.9% | Data is updating% |
| Smoking | 26.2% | Data is updating% |
| Binge Drinking | 16.9% | Data is updating% |
| Obesity | 46.4% | Data is updating% |
| Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Cambridge vs Irma
- More residents in Cambridge report poor mental health at 20.4% compared to 0.0% in Irma.
- Depression is more prevalent in Cambridge at 25.9% compared to 0.0% in Irma.
- Smoking is more prevalent in Cambridge at 26.2% compared to 0.0% in Irma.
- Binge drinking is more common in Cambridge at 16.9% compared to 0.0% in Irma.
- Obesity rates are higher in Cambridge at 46.4% compared to 0.0% in Irma.
- Disability percentages are higher in Cambridge at 19.0% compared to 0.0% in Irma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cambridge | Irma |
|---|---|---|
| No Schooling | 0.7% (73) | 0.0% (Data is updating) |
| High School Diploma | 25.1% (2,502) | 0.0% (Data is updating) |
| Less than High School | 17.3% (1,732) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 8.8% (875) | 0.0% (Data is updating) |
Education Levels Comparison: Cambridge vs Irma
- A higher percentage of residents in Cambridge have no formal schooling at 0.7% compared to 0.0% in Irma.
- A higher percentage of residents in Cambridge hold a high school diploma at 25.1% compared to 0.0% in Irma.
- More residents in Cambridge have less than a high school education at 17.3% compared to 0.0% in Irma.
- A higher percentage of residents in Cambridge hold a bachelor's degree or higher at 8.8% compared to 0.0% in Irma.
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.