Demographics details for Mountain home, ID vs Salem, OR
Population Overview
Compare main population characteristics in Mountain home, ID vs Salem, OR.
| Data | Mountain home | Salem |
|---|---|---|
| Population | 16,469 | 177,487 |
| Median Age | 31.3 years | 35.9 years |
| Median Income | $53,108 | $67,540 |
| Married Families | 36.0% | 35.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 3.1 | 4.1 |
Population Comparison: Mountain home vs Salem
- The population in Salem is higher at 177,487, compared to 16,469 in Mountain home.
- The median age in Salem is higher at 35.9 years, compared to 31.3 years in Mountain home.
- Salem has a higher median income of $67,540, compared to $53,108 in Mountain home.
- A higher percentage of married families is found in Mountain home at 36.0% compared to 35.0% in Salem.
- Mountain home has a higher poverty level at 12% compared to 11% in Salem.
- Salem has a higher unemployment rate at 4.1% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Salem provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Salem |
|---|---|---|
| Black | 2 | 2 |
| White | 69 | 59 |
| Asian | 4 | 3 |
| Hispanic | 14 | 23 |
| Two or More Races | 9 | 12 |
| American Indian | 2 | 1 |
Demographics Comparison: Mountain home vs Salem
- The percentage of Black residents is the same in both Mountain home and Salem at 2%.
- Mountain home has a higher percentage of White residents at 69% compared to 59% in Salem.
- The Asian population is larger in Mountain home at 4% compared to 3% in Salem.
- Salem has a higher percentage of Hispanic residents at 23%, compared to 14% in Mountain home.
- The percentage of residents identifying as two or more races is higher in Salem at 12%, compared to 9% in Mountain home.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 1% in Salem.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Salem |
|---|---|---|
| Mental Health Not Good | 16.9% | 18.4% |
| Physical Health Not Good | 12.6% | 12.2% |
| Depression | 22.4% | 28.2% |
| Smoking | 18.3% | 16.6% |
| Binge Drinking | 15.8% | 16.0% |
| Obesity | 36.1% | 36.6% |
| Disability Percentage | 18.0% | 14.0% |
Health Statistics Comparison: Mountain home vs Salem
- In Salem, a higher percentage report poor mental health at 18.4% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Salem at 28.2% versus 22.4% in Mountain home.
- Smoking is more prevalent in Mountain home at 18.3% compared to 16.6% in Salem.
- More residents engage in binge drinking in Salem at 16.0% compared to 15.8% in Mountain home.
- Salem has higher obesity rates at 36.6% compared to 36.1% in Mountain home.
- Disability percentages are higher in Mountain home at 18.0% compared to 14.0% in Salem.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain home | Salem |
|---|---|---|
| No Schooling | 1.7% (273) | 1.1% (1,964) |
| High School Diploma | 16.3% (2,690) | 11.4% (20,254) |
| Less than High School | 12.8% (2,116) | 14.4% (25,613) |
| Bachelor's Degree and Higher | 10.4% (1,720) | 20.5% (36,414) |
Education Levels Comparison: Mountain home vs Salem
- A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 1.1% in Salem.
- A higher percentage of residents in Mountain home hold a high school diploma at 16.3% compared to 11.4% in Salem.
- The percentage of residents with less than a high school education is higher in Salem at 14.4%, compared to 12.8% in Mountain home.
- In Salem, a larger share of residents have a bachelor's degree or higher at 20.5% 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.