Demographics details for Mountain home, ID vs Pulaski, VA
Population Overview
Compare main population characteristics in Mountain home, ID vs Pulaski, VA.
| Data | Mountain home | Pulaski |
|---|---|---|
| Population | 16,469 | 33,706 |
| Median Age | 31.3 years | 47.2 years |
| Median Income | $53,108 | $59,740 |
| Married Families | 36.0% | 43.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.1 | 2.9 |
Population Comparison: Mountain home vs Pulaski
- The population in Pulaski is higher at 33,706, compared to 16,469 in Mountain home.
- The median age in Pulaski is higher at 47.2 years, compared to 31.3 years in Mountain home.
- Pulaski has a higher median income of $59,740, compared to $53,108 in Mountain home.
- In Pulaski, the percentage of married families is higher at 43.0%, compared to 36.0% in Mountain home.
- The poverty level is identical in both Mountain home and Pulaski at 12%.
- The unemployment rate in Mountain home is higher at 3.1%, compared to 2.9% in Pulaski.
Demographics
Demographics Mountain home vs Pulaski provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Pulaski |
|---|---|---|
| Black | 2 | 5 |
| White | 69 | 90 |
| Asian | 4 | 1 |
| Hispanic | 14 | 2 |
| Two or More Races | 9 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Mountain home vs Pulaski
- In Pulaski, the percentage of Black residents is higher at 5% compared to 2% in Mountain home.
- The percentage of White residents is higher in Pulaski at 90% compared to 69% in Mountain home.
- The Asian population is larger in Mountain home at 4% compared to 1% in Pulaski.
- The Hispanic community is larger in Mountain home at 14% compared to 2% in Pulaski.
- More residents identify as two or more races in Mountain home at 9% compared to 2% in Pulaski.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Pulaski.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Pulaski |
|---|---|---|
| Mental Health Not Good | 16.9% | 17.7% |
| Physical Health Not Good | 12.6% | 11.6% |
| Depression | 22.4% | 24.8% |
| Smoking | 18.3% | 18.5% |
| Binge Drinking | 15.8% | 18.2% |
| Obesity | 36.1% | 37.7% |
| Disability Percentage | 18.0% | 20.0% |
Health Statistics Comparison: Mountain home vs Pulaski
- In Pulaski, a higher percentage report poor mental health at 17.7% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Pulaski at 24.8% versus 22.4% in Mountain home.
- Pulaski has a higher smoking rate at 18.5% compared to 18.3% in Mountain home.
- More residents engage in binge drinking in Pulaski at 18.2% compared to 15.8% in Mountain home.
- Pulaski has higher obesity rates at 37.7% compared to 36.1% in Mountain home.
- There is a higher percentage of disabled individuals in Pulaski at 20.0% 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 | Pulaski |
|---|---|---|
| No Schooling | 1.7% (273) | 1.0% (331) |
| High School Diploma | 16.3% (2,690) | 21.0% (7,088) |
| Less than High School | 12.8% (2,116) | 14.0% (4,706) |
| Bachelor's Degree and Higher | 10.4% (1,720) | 16.0% (5,382) |
Education Levels Comparison: Mountain home vs Pulaski
- A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 1.0% in Pulaski.
- In Pulaski, the rate of residents with high school diplomas is higher at 21.0% compared to 16.3% in Mountain home.
- The percentage of residents with less than a high school education is higher in Pulaski at 14.0%, compared to 12.8% in Mountain home.
- In Pulaski, a larger share of residents have a bachelor's degree or higher at 16.0% 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.