Demographics details for Mountain home, ID vs Lena, MS
Population Overview
Compare main population characteristics in Mountain home, ID vs Lena, MS.
| Data | Mountain home | Lena |
|---|---|---|
| Population | 16,469 | 155 |
| Median Age | 31.3 years | 45.1 years |
| Median Income | $53,108 | $85,000 |
| Married Families | 36.0% | 25.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.1 | 5.0 |
Population Comparison: Mountain home vs Lena
- In Mountain home, the population is higher at 16,469, compared to 155 in Lena.
- The median age in Lena is higher at 45.1 years, compared to 31.3 years in Mountain home.
- Lena has a higher median income of $85,000, compared to $53,108 in Mountain home.
- A higher percentage of married families is found in Mountain home at 36.0% compared to 25.0% in Lena.
- Mountain home has a higher poverty level at 12% compared to 10% in Lena.
- Lena has a higher unemployment rate at 5.0% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Lena provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Lena |
|---|---|---|
| Black | 2 | 3 |
| White | 69 | 95 |
| Asian | 4 | Data is updating |
| Hispanic | 14 | 1 |
| Two or More Races | 9 | 1 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Mountain home vs Lena
- In Lena, the percentage of Black residents is higher at 3% compared to 2% in Mountain home.
- The percentage of White residents is higher in Lena at 95% compared to 69% in Mountain home.
- The Asian population is larger in Mountain home at 4% compared to 0% in Lena.
- The Hispanic community is larger in Mountain home at 14% compared to 1% in Lena.
- More residents identify as two or more races in Mountain home at 9% compared to 1% in Lena.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Lena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Lena |
|---|---|---|
| Mental Health Not Good | 16.9% | 19.0% |
| Physical Health Not Good | 12.6% | 14.7% |
| Depression | 22.4% | 24.7% |
| Smoking | 18.3% | 25.1% |
| Binge Drinking | 15.8% | 15.2% |
| Obesity | 36.1% | 40.6% |
| Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: Mountain home vs Lena
- In Lena, a higher percentage report poor mental health at 19.0% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Lena at 24.7% versus 22.4% in Mountain home.
- Lena has a higher smoking rate at 25.1% compared to 18.3% in Mountain home.
- Binge drinking is more common in Mountain home at 15.8% compared to 15.2% in Lena.
- Lena has higher obesity rates at 40.6% compared to 36.1% in Mountain home.
- Disability percentages are higher in Mountain home at 18.0% compared to 10.0% in Lena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain home | Lena |
|---|---|---|
| No Schooling | 1.7% (273) | 0.0% (Data is updating) |
| High School Diploma | 16.3% (2,690) | 8.4% (13) |
| Less than High School | 12.8% (2,116) | 5.2% (8) |
| Bachelor's Degree and Higher | 10.4% (1,720) | 14.8% (23) |
Education Levels Comparison: Mountain home vs Lena
- A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.0% in Lena.
- A higher percentage of residents in Mountain home hold a high school diploma at 16.3% compared to 8.4% in Lena.
- More residents in Mountain home have less than a high school education at 12.8% compared to 5.2% in Lena.
- In Lena, a larger share of residents have a bachelor's degree or higher at 14.8% 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.