Demographics details for Mountain home, ID vs Cambridge, OH
Population Overview
Compare main population characteristics in Mountain home, ID vs Cambridge, OH.
Data | Mountain home | Cambridge |
---|---|---|
Population | 16,469 | 9,985 |
Median Age | 31.3 years | 35.1 years |
Median Income | $53,108 | $39,589 |
Married Families | 36.0% | 28.0% |
Poverty Level | 12% | 16% |
Unemployment Rate | 3.1 | 4.5 |
Population Comparison: Mountain home vs Cambridge
- In Mountain home, the population is higher at 16,469, compared to 9,985 in Cambridge.
- The median age in Cambridge is higher at 35.1 years, compared to 31.3 years in Mountain home.
- Mountain home has a higher median income of $53,108 compared to $39,589 in Cambridge.
- A higher percentage of married families is found in Mountain home at 36.0% compared to 28.0% in Cambridge.
- The poverty level is higher in Cambridge at 16%, compared to 12% in Mountain home.
- Cambridge has a higher unemployment rate at 4.5% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Cambridge provide insight into the diversity of the communities to compare.
Demographic | Mountain home | Cambridge |
---|---|---|
Black | 2 | 6 |
White | 69 | 88 |
Asian | 4 | Data is updating |
Hispanic | 14 | 2 |
Two or More Races | 9 | 4 |
American Indian | 2 | Data is updating |
Demographics Comparison: Mountain home vs Cambridge
- In Cambridge, the percentage of Black residents is higher at 6% compared to 2% in Mountain home.
- The percentage of White residents is higher in Cambridge at 88% compared to 69% in Mountain home.
- The Asian population is larger in Mountain home at 4% compared to 0% in Cambridge.
- The Hispanic community is larger in Mountain home at 14% compared to 2% in Cambridge.
- More residents identify as two or more races in Mountain home at 9% compared to 4% in Cambridge.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Cambridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mountain home | Cambridge |
---|---|---|
Mental Health Not Good | 16.9% | 20.4% |
Physical Health Not Good | 12.6% | 15.1% |
Depression | 22.4% | 25.9% |
Smoking | 18.3% | 26.2% |
Binge Drinking | 15.8% | 16.9% |
Obesity | 36.1% | 46.4% |
Disability Percentage | 18.0% | 19.0% |
Health Statistics Comparison: Mountain home vs Cambridge
- In Cambridge, a higher percentage report poor mental health at 20.4% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Cambridge at 25.9% versus 22.4% in Mountain home.
- Cambridge has a higher smoking rate at 26.2% compared to 18.3% in Mountain home.
- More residents engage in binge drinking in Cambridge at 16.9% compared to 15.8% in Mountain home.
- Cambridge has higher obesity rates at 46.4% compared to 36.1% in Mountain home.
- There is a higher percentage of disabled individuals in Cambridge at 19.0% compared to 18.0% in Mountain home.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mountain home | Cambridge |
---|---|---|
No Schooling | 1.7% (273) | 0.7% (73) |
High School Diploma | 16.3% (2,690) | 25.1% (2,502) |
Less than High School | 12.8% (2,116) | 17.3% (1,732) |
Bachelor's Degree and Higher | 10.4% (1,720) | 8.8% (875) |
Education Levels Comparison: Mountain home vs Cambridge
- A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.7% in Cambridge.
- In Cambridge, the rate of residents with high school diplomas is higher at 25.1% compared to 16.3% in Mountain home.
- The percentage of residents with less than a high school education is higher in Cambridge at 17.3%, compared to 12.8% in Mountain home.
- A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 10.4% 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.