Demographics details for Mountain view, AR vs Post falls, ID
Population Overview
Compare main population characteristics in Mountain view, AR vs Post falls, ID.
| Data | Mountain view | Post falls |
|---|---|---|
| Population | 2,915 | 44,194 |
| Median Age | 55.5 years | 34.5 years |
| Median Income | $23,458 | $71,042 |
| Married Families | 25.0% | 35.0% |
| Poverty Level | 17% | 8% |
| Unemployment Rate | 4.8 | 3.7 |
Population Comparison: Mountain view vs Post falls
- The population in Post falls is higher at 44,194, compared to 2,915 in Mountain view.
- Residents in Mountain view have a higher median age of 55.5 years compared to 34.5 years in Post falls.
- Post falls has a higher median income of $71,042, compared to $23,458 in Mountain view.
- In Post falls, the percentage of married families is higher at 35.0%, compared to 25.0% in Mountain view.
- Mountain view has a higher poverty level at 17% compared to 8% in Post falls.
- The unemployment rate in Mountain view is higher at 4.8%, compared to 3.7% in Post falls.
Demographics
Demographics Mountain view vs Post falls provide insight into the diversity of the communities to compare.
| Demographic | Mountain view | Post falls |
|---|---|---|
| Black | 1 | Data is updating |
| White | 89 | 87 |
| Asian | 1 | Data is updating |
| Hispanic | 8 | 5 |
| Two or More Races | 1 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mountain view vs Post falls
- A higher percentage of Black residents are in Mountain view at 1% compared to 0% in Post falls.
- Mountain view has a higher percentage of White residents at 89% compared to 87% in Post falls.
- The Asian population is larger in Mountain view at 1% compared to 0% in Post falls.
- The Hispanic community is larger in Mountain view at 8% compared to 5% in Post falls.
- The percentage of residents identifying as two or more races is higher in Post falls at 7%, compared to 1% in Mountain view.
- In Post falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Mountain view.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain view | Post falls |
|---|---|---|
| Mental Health Not Good | 22.6% | 16.9% |
| Physical Health Not Good | 16.7% | 12.3% |
| Depression | 31.9% | 22.9% |
| Smoking | 26.6% | 18.6% |
| Binge Drinking | 14.9% | 17.6% |
| Obesity | 41.1% | 29.8% |
| Disability Percentage | 36.0% | 12.0% |
Health Statistics Comparison: Mountain view vs Post falls
- More residents in Mountain view report poor mental health at 22.6% compared to 16.9% in Post falls.
- Depression is more prevalent in Mountain view at 31.9% compared to 22.9% in Post falls.
- Smoking is more prevalent in Mountain view at 26.6% compared to 18.6% in Post falls.
- More residents engage in binge drinking in Post falls at 17.6% compared to 14.9% in Mountain view.
- Obesity rates are higher in Mountain view at 41.1% compared to 29.8% in Post falls.
- Disability percentages are higher in Mountain view at 36.0% compared to 12.0% in Post falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain view | Post falls |
|---|---|---|
| No Schooling | 2.4% (70) | 0.3% (121) |
| High School Diploma | 17.8% (520) | 14.1% (6,217) |
| Less than High School | 15.9% (464) | 7.7% (3,421) |
| Bachelor's Degree and Higher | 11.3% (329) | 13.1% (5,799) |
Education Levels Comparison: Mountain view vs Post falls
- A higher percentage of residents in Mountain view have no formal schooling at 2.4% compared to 0.3% in Post falls.
- A higher percentage of residents in Mountain view hold a high school diploma at 17.8% compared to 14.1% in Post falls.
- More residents in Mountain view have less than a high school education at 15.9% compared to 7.7% in Post falls.
- In Post falls, a larger share of residents have a bachelor's degree or higher at 13.1% 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.