Demographics details for Avella, PA vs Mountain home, AR
Population Overview
Compare main population characteristics in Avella, PA vs Mountain home, AR.
| Data | Avella | Mountain home |
|---|---|---|
| Population | 798 | 13,150 |
| Median Age | 33.2 years | 41.8 years |
| Median Income | $61,806 | $42,281 |
| Married Families | 28.0% | 38.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Avella vs Mountain home
- The population in Mountain home is higher at 13,150, compared to 798 in Avella.
- The median age in Mountain home is higher at 41.8 years, compared to 33.2 years in Avella.
- Avella has a higher median income of $61,806 compared to $42,281 in Mountain home.
- In Mountain home, the percentage of married families is higher at 38.0%, compared to 28.0% in Avella.
- The poverty level is higher in Mountain home at 14%, compared to 10% in Avella.
- The unemployment rate in Avella is higher at 4.5%, compared to 3.5% in Mountain home.
Demographics
Demographics Avella vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Avella | Mountain home |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 96 | 90 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 4 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Avella vs Mountain home
- The percentage of Black residents is the same in both Avella and Mountain home at 0%.
- Avella has a higher percentage of White residents at 96% compared to 90% in Mountain home.
- In Mountain home, the Asian population stands at 1%, greater than 0% in Avella.
- Mountain home has a higher percentage of Hispanic residents at 4%, compared to 0% in Avella.
- Both Avella and Mountain home have the same percentage of residents identifying as two or more races at 4%.
- In Mountain home, the percentage of American Indian residents is higher at 1%, compared to 0% in Avella.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Avella | Mountain home |
|---|---|---|
| Mental Health Not Good | 16.5% | 19.2% |
| Physical Health Not Good | 11.0% | 12.9% |
| Depression | 22.2% | 28.5% |
| Smoking | 19.0% | 21.1% |
| Binge Drinking | 19.1% | 16.3% |
| Obesity | 34.4% | 34.3% |
| Disability Percentage | 27.0% | 22.0% |
Health Statistics Comparison: Avella vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 19.2% compared to 16.5% in Avella.
- Higher depression rates are seen in Mountain home at 28.5% versus 22.2% in Avella.
- Mountain home has a higher smoking rate at 21.1% compared to 19.0% in Avella.
- Binge drinking is more common in Avella at 19.1% compared to 16.3% in Mountain home.
- Obesity rates are higher in Avella at 34.4% compared to 34.3% in Mountain home.
- Disability percentages are higher in Avella at 27.0% compared to 22.0% in Mountain home.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Avella | Mountain home |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (87) |
| High School Diploma | 26.6% (212) | 16.9% (2,225) |
| Less than High School | 17.3% (138) | 14.2% (1,870) |
| Bachelor's Degree and Higher | 7.5% (60) | 15.0% (1,973) |
Education Levels Comparison: Avella vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Avella.
- A higher percentage of residents in Avella hold a high school diploma at 26.6% compared to 16.9% in Mountain home.
- More residents in Avella have less than a high school education at 17.3% compared to 14.2% in Mountain home.
- In Mountain home, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 7.5% in Avella.
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.