Demographics details for Mountain home, ID vs Latah, WA
Population Overview
Compare main population characteristics in Mountain home, ID vs Latah, WA.
| Data | Mountain home | Latah |
|---|---|---|
| Population | 16,469 | 176 |
| Median Age | 31.3 years | 40.0 years |
| Median Income | $53,108 | $46,563 |
| Married Families | 36.0% | 23.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.1 | 4.5 |
Population Comparison: Mountain home vs Latah
- In Mountain home, the population is higher at 16,469, compared to 176 in Latah.
- The median age in Latah is higher at 40.0 years, compared to 31.3 years in Mountain home.
- Mountain home has a higher median income of $53,108 compared to $46,563 in Latah.
- A higher percentage of married families is found in Mountain home at 36.0% compared to 23.0% in Latah.
- Mountain home has a higher poverty level at 12% compared to 0% in Latah.
- Latah has a higher unemployment rate at 4.5% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Latah provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Latah |
|---|---|---|
| Black | 2 | 2 |
| White | 69 | 89 |
| Asian | 4 | Data is updating |
| Hispanic | 14 | 4 |
| Two or More Races | 9 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Mountain home vs Latah
- The percentage of Black residents is the same in both Mountain home and Latah at 2%.
- The percentage of White residents is higher in Latah at 89% compared to 69% in Mountain home.
- The Asian population is larger in Mountain home at 4% compared to 0% in Latah.
- The Hispanic community is larger in Mountain home at 14% compared to 4% in Latah.
- More residents identify as two or more races in Mountain home at 9% compared to 5% in Latah.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Latah.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Latah |
|---|---|---|
| Mental Health Not Good | 16.9% | 18.9% |
| Physical Health Not Good | 12.6% | 11.8% |
| Depression | 22.4% | 29.5% |
| Smoking | 18.3% | 15.3% |
| Binge Drinking | 15.8% | 18.0% |
| Obesity | 36.1% | 30.2% |
| Disability Percentage | 18.0% | 38.0% |
Health Statistics Comparison: Mountain home vs Latah
- In Latah, a higher percentage report poor mental health at 18.9% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Latah at 29.5% versus 22.4% in Mountain home.
- Smoking is more prevalent in Mountain home at 18.3% compared to 15.3% in Latah.
- More residents engage in binge drinking in Latah at 18.0% compared to 15.8% in Mountain home.
- Obesity rates are higher in Mountain home at 36.1% compared to 30.2% in Latah.
- There is a higher percentage of disabled individuals in Latah at 38.0% 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 | Latah |
|---|---|---|
| No Schooling | 1.7% (273) | 0.0% (Data is updating) |
| High School Diploma | 16.3% (2,690) | 26.7% (47) |
| Less than High School | 12.8% (2,116) | 0.6% (1) |
| Bachelor's Degree and Higher | 10.4% (1,720) | 11.9% (21) |
Education Levels Comparison: Mountain home vs Latah
- A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.0% in Latah.
- In Latah, the rate of residents with high school diplomas is higher at 26.7% compared to 16.3% in Mountain home.
- More residents in Mountain home have less than a high school education at 12.8% compared to 0.6% in Latah.
- In Latah, a larger share of residents have a bachelor's degree or higher at 11.9% 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.