Demographics details for Mountain view, AR vs Anamosa, IA
Population Overview
Compare main population characteristics in Mountain view, AR vs Anamosa, IA.
| Data | Mountain view | Anamosa |
|---|---|---|
| Population | 2,915 | 5,521 |
| Median Age | 55.5 years | 42.0 years |
| Median Income | $23,458 | $55,934 |
| Married Families | 25.0% | 30.0% |
| Poverty Level | 17% | 8% |
| Unemployment Rate | 4.8 | 3.5 |
Population Comparison: Mountain view vs Anamosa
- The population in Anamosa is higher at 5,521, compared to 2,915 in Mountain view.
- Residents in Mountain view have a higher median age of 55.5 years compared to 42.0 years in Anamosa.
- Anamosa has a higher median income of $55,934, compared to $23,458 in Mountain view.
- In Anamosa, the percentage of married families is higher at 30.0%, compared to 25.0% in Mountain view.
- Mountain view has a higher poverty level at 17% compared to 8% in Anamosa.
- The unemployment rate in Mountain view is higher at 4.8%, compared to 3.5% in Anamosa.
Demographics
Demographics Mountain view vs Anamosa provide insight into the diversity of the communities to compare.
| Demographic | Mountain view | Anamosa |
|---|---|---|
| Black | 1 | 6 |
| White | 89 | 87 |
| Asian | 1 | 2 |
| Hispanic | 8 | 2 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mountain view vs Anamosa
- In Anamosa, the percentage of Black residents is higher at 6% compared to 1% in Mountain view.
- Mountain view has a higher percentage of White residents at 89% compared to 87% in Anamosa.
- In Anamosa, the Asian population stands at 2%, greater than 1% in Mountain view.
- The Hispanic community is larger in Mountain view at 8% compared to 2% in Anamosa.
- The percentage of residents identifying as two or more races is higher in Anamosa at 3%, compared to 1% in Mountain view.
- The percentage of American Indian residents is the same in both Mountain view and Anamosa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain view | Anamosa |
|---|---|---|
| Mental Health Not Good | 22.6% | 16.0% |
| Physical Health Not Good | 16.7% | 11.1% |
| Depression | 31.9% | 18.7% |
| Smoking | 26.6% | 21.1% |
| Binge Drinking | 14.9% | 21.0% |
| Obesity | 41.1% | 45.0% |
| Disability Percentage | 36.0% | 14.0% |
Health Statistics Comparison: Mountain view vs Anamosa
- More residents in Mountain view report poor mental health at 22.6% compared to 16.0% in Anamosa.
- Depression is more prevalent in Mountain view at 31.9% compared to 18.7% in Anamosa.
- Smoking is more prevalent in Mountain view at 26.6% compared to 21.1% in Anamosa.
- More residents engage in binge drinking in Anamosa at 21.0% compared to 14.9% in Mountain view.
- Anamosa has higher obesity rates at 45.0% compared to 41.1% in Mountain view.
- Disability percentages are higher in Mountain view at 36.0% compared to 14.0% in Anamosa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain view | Anamosa |
|---|---|---|
| No Schooling | 2.4% (70) | 0.2% (13) |
| High School Diploma | 17.8% (520) | 22.3% (1,229) |
| Less than High School | 15.9% (464) | 10.5% (581) |
| Bachelor's Degree and Higher | 11.3% (329) | 13.5% (747) |
Education Levels Comparison: Mountain view vs Anamosa
- A higher percentage of residents in Mountain view have no formal schooling at 2.4% compared to 0.2% in Anamosa.
- In Anamosa, the rate of residents with high school diplomas is higher at 22.3% compared to 17.8% in Mountain view.
- More residents in Mountain view have less than a high school education at 15.9% compared to 10.5% in Anamosa.
- In Anamosa, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 11.3% in Mountain view.
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.