Demographics details for Pella, IA vs Mountain home, ID
Population Overview
Compare main population characteristics in Pella, IA vs Mountain home, ID.
| Data | Pella | Mountain home |
|---|---|---|
| Population | 10,744 | 16,469 |
| Median Age | 35.5 years | 31.3 years |
| Median Income | $86,025 | $53,108 |
| Married Families | 44.0% | 36.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 2.5 | 3.1 |
Population Comparison: Pella vs Mountain home
- The population in Mountain home is higher at 16,469, compared to 10,744 in Pella.
- Residents in Pella have a higher median age of 35.5 years compared to 31.3 years in Mountain home.
- Pella has a higher median income of $86,025 compared to $53,108 in Mountain home.
- A higher percentage of married families is found in Pella at 44.0% compared to 36.0% in Mountain home.
- The poverty level is higher in Mountain home at 12%, compared to 7% in Pella.
- Mountain home has a higher unemployment rate at 3.1% compared to 2.5% in Pella.
Demographics
Demographics Pella vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Pella | Mountain home |
|---|---|---|
| Black | 1 | 2 |
| White | 93 | 69 |
| Asian | 1 | 4 |
| Hispanic | 3 | 14 |
| Two or More Races | 2 | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Pella vs Mountain home
- In Mountain home, the percentage of Black residents is higher at 2% compared to 1% in Pella.
- Pella has a higher percentage of White residents at 93% compared to 69% in Mountain home.
- In Mountain home, the Asian population stands at 4%, greater than 1% in Pella.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 3% in Pella.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 2% in Pella.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Pella.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pella | Mountain home |
|---|---|---|
| Mental Health Not Good | 14.4% | 16.9% |
| Physical Health Not Good | 8.5% | 12.6% |
| Depression | 18.6% | 22.4% |
| Smoking | 14.6% | 18.3% |
| Binge Drinking | 22.4% | 15.8% |
| Obesity | 35.5% | 36.1% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Pella vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 16.9% compared to 14.4% in Pella.
- Higher depression rates are seen in Mountain home at 22.4% versus 18.6% in Pella.
- Mountain home has a higher smoking rate at 18.3% compared to 14.6% in Pella.
- Binge drinking is more common in Pella at 22.4% compared to 15.8% in Mountain home.
- Mountain home has higher obesity rates at 36.1% compared to 35.5% in Pella.
- There is a higher percentage of disabled individuals in Mountain home at 18.0% compared to 11.0% in Pella.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pella | Mountain home |
|---|---|---|
| No Schooling | 0.2% (22) | 1.7% (273) |
| High School Diploma | 13.3% (1,433) | 16.3% (2,690) |
| Less than High School | 6.0% (646) | 12.8% (2,116) |
| Bachelor's Degree and Higher | 28.3% (3,036) | 10.4% (1,720) |
Education Levels Comparison: Pella vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.2% in Pella.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.3% compared to 13.3% in Pella.
- The percentage of residents with less than a high school education is higher in Mountain home at 12.8%, compared to 6.0% in Pella.
- A higher percentage of residents in Pella hold a bachelor's degree or higher at 28.3% 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.