Demographics details for Troy, OH vs Mountain home, ID
Population Overview
Compare main population characteristics in Troy, OH vs Mountain home, ID.
| Data | Troy | Mountain home |
|---|---|---|
| Population | 26,679 | 16,469 |
| Median Age | 38.2 years | 31.3 years |
| Median Income | $69,730 | $53,108 |
| Married Families | 41.0% | 36.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.6 | 3.1 |
Population Comparison: Troy vs Mountain home
- In Troy, the population is higher at 26,679, compared to 16,469 in Mountain home.
- Residents in Troy have a higher median age of 38.2 years compared to 31.3 years in Mountain home.
- Troy has a higher median income of $69,730 compared to $53,108 in Mountain home.
- A higher percentage of married families is found in Troy at 41.0% compared to 36.0% in Mountain home.
- The poverty level is higher in Mountain home at 12%, compared to 10% in Troy.
- The unemployment rate in Troy is higher at 4.6%, compared to 3.1% in Mountain home.
Demographics
Demographics Troy vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Troy | Mountain home |
|---|---|---|
| Black | 3 | 2 |
| White | 83 | 69 |
| Asian | 5 | 4 |
| Hispanic | 3 | 14 |
| Two or More Races | 6 | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Troy vs Mountain home
- A higher percentage of Black residents are in Troy at 3% compared to 2% in Mountain home.
- Troy has a higher percentage of White residents at 83% compared to 69% in Mountain home.
- The Asian population is larger in Troy at 5% compared to 4% in Mountain home.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 3% in Troy.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 6% in Troy.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Troy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Troy | Mountain home |
|---|---|---|
| Mental Health Not Good | 17.2% | 16.9% |
| Physical Health Not Good | 11.6% | 12.6% |
| Depression | 22.5% | 22.4% |
| Smoking | 19.6% | 18.3% |
| Binge Drinking | 17.6% | 15.8% |
| Obesity | 39.9% | 36.1% |
| Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Troy vs Mountain home
- More residents in Troy report poor mental health at 17.2% compared to 16.9% in Mountain home.
- Depression is more prevalent in Troy at 22.5% compared to 22.4% in Mountain home.
- Smoking is more prevalent in Troy at 19.6% compared to 18.3% in Mountain home.
- Binge drinking is more common in Troy at 17.6% compared to 15.8% in Mountain home.
- Obesity rates are higher in Troy at 39.9% compared to 36.1% in Mountain home.
- There is a higher percentage of disabled individuals in Mountain home at 18.0% compared to 12.0% in Troy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Troy | Mountain home |
|---|---|---|
| No Schooling | 0.4% (107) | 1.7% (273) |
| High School Diploma | 18.8% (5,006) | 16.3% (2,690) |
| Less than High School | 9.8% (2,620) | 12.8% (2,116) |
| Bachelor's Degree and Higher | 20.6% (5,490) | 10.4% (1,720) |
Education Levels Comparison: Troy vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.4% in Troy.
- A higher percentage of residents in Troy hold a high school diploma at 18.8% compared to 16.3% in Mountain home.
- The percentage of residents with less than a high school education is higher in Mountain home at 12.8%, compared to 9.8% in Troy.
- A higher percentage of residents in Troy hold a bachelor's degree or higher at 20.6% compared to 10.4% in Mountain home.
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.