Demographics details for Mountain home, AR vs Manly, IA
Population Overview
Compare main population characteristics in Mountain home, AR vs Manly, IA.
| Data | Mountain home | Manly |
|---|---|---|
| Population | 13,150 | 1,237 |
| Median Age | 41.8 years | 40.7 years |
| Median Income | $42,281 | $64,688 |
| Married Families | 38.0% | 43.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 3.5 | 3.1 |
Population Comparison: Mountain home vs Manly
- In Mountain home, the population is higher at 13,150, compared to 1,237 in Manly.
- Residents in Mountain home have a higher median age of 41.8 years compared to 40.7 years in Manly.
- Manly has a higher median income of $64,688, compared to $42,281 in Mountain home.
- In Manly, the percentage of married families is higher at 43.0%, compared to 38.0% in Mountain home.
- Mountain home has a higher poverty level at 14% compared to 12% in Manly.
- The unemployment rate in Mountain home is higher at 3.5%, compared to 3.1% in Manly.
Demographics
Demographics Mountain home vs Manly provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Manly |
|---|---|---|
| Black | Data is updating | 3 |
| White | 90 | 77 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 10 |
| Two or More Races | 4 | 10 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Mountain home vs Manly
- In Manly, the percentage of Black residents is higher at 3% compared to 0% in Mountain home.
- Mountain home has a higher percentage of White residents at 90% compared to 77% in Manly.
- The Asian population is larger in Mountain home at 1% compared to 0% in Manly.
- Manly has a higher percentage of Hispanic residents at 10%, compared to 4% in Mountain home.
- The percentage of residents identifying as two or more races is higher in Manly at 10%, compared to 4% in Mountain home.
- A greater percentage of American Indian residents live in Mountain home at 1% compared to 0% in Manly.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Manly |
|---|---|---|
| Mental Health Not Good | 19.2% | 16.0% |
| Physical Health Not Good | 12.9% | 9.9% |
| Depression | 28.5% | 19.1% |
| Smoking | 21.1% | 17.7% |
| Binge Drinking | 16.3% | 21.4% |
| Obesity | 34.3% | 38.1% |
| Disability Percentage | 22.0% | 15.0% |
Health Statistics Comparison: Mountain home vs Manly
- More residents in Mountain home report poor mental health at 19.2% compared to 16.0% in Manly.
- Depression is more prevalent in Mountain home at 28.5% compared to 19.1% in Manly.
- Smoking is more prevalent in Mountain home at 21.1% compared to 17.7% in Manly.
- More residents engage in binge drinking in Manly at 21.4% compared to 16.3% in Mountain home.
- Manly has higher obesity rates at 38.1% compared to 34.3% in Mountain home.
- Disability percentages are higher in Mountain home at 22.0% compared to 15.0% in Manly.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain home | Manly |
|---|---|---|
| No Schooling | 0.7% (87) | 0.2% (3) |
| High School Diploma | 16.9% (2,225) | 25.9% (320) |
| Less than High School | 14.2% (1,870) | 5.8% (72) |
| Bachelor's Degree and Higher | 15.0% (1,973) | 13.3% (165) |
Education Levels Comparison: Mountain home vs Manly
- A higher percentage of residents in Mountain home have no formal schooling at 0.7% compared to 0.2% in Manly.
- In Manly, the rate of residents with high school diplomas is higher at 25.9% compared to 16.9% in Mountain home.
- More residents in Mountain home have less than a high school education at 14.2% compared to 5.8% in Manly.
- A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 15.0% compared to 13.3% in Manly.
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.