Demographics details for Mountain home, AR vs Eufaula, AL
Population Overview
Compare main population characteristics in Mountain home, AR vs Eufaula, AL.
| Data | Mountain home | Eufaula |
|---|---|---|
| Population | 13,150 | 12,539 |
| Median Age | 41.8 years | 37.0 years |
| Median Income | $42,281 | $39,511 |
| Married Families | 38.0% | 32.0% |
| Poverty Level | 14% | 13% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Mountain home vs Eufaula
- In Mountain home, the population is higher at 13,150, compared to 12,539 in Eufaula.
- Residents in Mountain home have a higher median age of 41.8 years compared to 37.0 years in Eufaula.
- Mountain home has a higher median income of $42,281 compared to $39,511 in Eufaula.
- A higher percentage of married families is found in Mountain home at 38.0% compared to 32.0% in Eufaula.
- Mountain home has a higher poverty level at 14% compared to 13% in Eufaula.
- The unemployment rate is the same in both Mountain home and Eufaula at 3.5%.
Demographics
Demographics Mountain home vs Eufaula provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Eufaula |
|---|---|---|
| Black | Data is updating | 45 |
| White | 90 | 48 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 4 |
| Two or More Races | 4 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Mountain home vs Eufaula
- In Eufaula, the percentage of Black residents is higher at 45% compared to 0% in Mountain home.
- Mountain home has a higher percentage of White residents at 90% compared to 48% in Eufaula.
- The Asian population is larger in Mountain home at 1% compared to 0% in Eufaula.
- The percentage of Hispanic residents is the same in both Mountain home and Eufaula at 4%.
- More residents identify as two or more races in Mountain home at 4% compared to 3% in Eufaula.
- A greater percentage of American Indian residents live in Mountain home at 1% compared to 0% in Eufaula.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Eufaula |
|---|---|---|
| Mental Health Not Good | 19.2% | 21.5% |
| Physical Health Not Good | 12.9% | 16.1% |
| Depression | 28.5% | 24.6% |
| Smoking | 21.1% | 24.8% |
| Binge Drinking | 16.3% | 12.6% |
| Obesity | 34.3% | 43.0% |
| Disability Percentage | 22.0% | 19.0% |
Health Statistics Comparison: Mountain home vs Eufaula
- In Eufaula, a higher percentage report poor mental health at 21.5% compared to 19.2% in Mountain home.
- Depression is more prevalent in Mountain home at 28.5% compared to 24.6% in Eufaula.
- Eufaula has a higher smoking rate at 24.8% compared to 21.1% in Mountain home.
- Binge drinking is more common in Mountain home at 16.3% compared to 12.6% in Eufaula.
- Eufaula has higher obesity rates at 43.0% compared to 34.3% in Mountain home.
- Disability percentages are higher in Mountain home at 22.0% compared to 19.0% in Eufaula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain home | Eufaula |
|---|---|---|
| No Schooling | 0.7% (87) | 1.0% (120) |
| High School Diploma | 16.9% (2,225) | 19.0% (2,377) |
| Less than High School | 14.2% (1,870) | 18.0% (2,256) |
| Bachelor's Degree and Higher | 15.0% (1,973) | 11.4% (1,430) |
Education Levels Comparison: Mountain home vs Eufaula
- In Eufaula, a larger percentage of residents lack formal schooling at 1.0% compared to 0.7% in Mountain home.
- In Eufaula, the rate of residents with high school diplomas is higher at 19.0% compared to 16.9% in Mountain home.
- The percentage of residents with less than a high school education is higher in Eufaula at 18.0%, compared to 14.2% in Mountain home.
- A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 15.0% compared to 11.4% in Eufaula.
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.