Demographics details for Mountain home, AR vs Sandy, UT
Population Overview
Compare main population characteristics in Mountain home, AR vs Sandy, UT.
| Data | Mountain home | Sandy |
|---|---|---|
| Population | 13,150 | 93,022 |
| Median Age | 41.8 years | 36.9 years |
| Median Income | $42,281 | $108,165 |
| Married Families | 38.0% | 47.0% |
| Poverty Level | 14% | 6% |
| Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Mountain home vs Sandy
- The population in Sandy is higher at 93,022, compared to 13,150 in Mountain home.
- Residents in Mountain home have a higher median age of 41.8 years compared to 36.9 years in Sandy.
- Sandy has a higher median income of $108,165, compared to $42,281 in Mountain home.
- In Sandy, the percentage of married families is higher at 47.0%, compared to 38.0% in Mountain home.
- Mountain home has a higher poverty level at 14% compared to 6% in Sandy.
- Sandy has a higher unemployment rate at 3.6% compared to 3.5% in Mountain home.
Demographics
Demographics Mountain home vs Sandy provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Sandy |
|---|---|---|
| Black | Data is updating | 1 |
| White | 90 | 77 |
| Asian | 1 | 4 |
| Hispanic | 4 | 11 |
| Two or More Races | 4 | 6 |
| American Indian | 1 | 1 |
Demographics Comparison: Mountain home vs Sandy
- In Sandy, the percentage of Black residents is higher at 1% compared to 0% in Mountain home.
- Mountain home has a higher percentage of White residents at 90% compared to 77% in Sandy.
- In Sandy, the Asian population stands at 4%, greater than 1% in Mountain home.
- Sandy has a higher percentage of Hispanic residents at 11%, compared to 4% in Mountain home.
- The percentage of residents identifying as two or more races is higher in Sandy at 6%, compared to 4% in Mountain home.
- The percentage of American Indian residents is the same in both Mountain home and Sandy at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Sandy |
|---|---|---|
| Mental Health Not Good | 19.2% | 17.1% |
| Physical Health Not Good | 12.9% | 9.4% |
| Depression | 28.5% | 26.7% |
| Smoking | 21.1% | 7.8% |
| Binge Drinking | 16.3% | 16.4% |
| Obesity | 34.3% | 29.0% |
| Disability Percentage | 22.0% | 9.0% |
Health Statistics Comparison: Mountain home vs Sandy
- More residents in Mountain home report poor mental health at 19.2% compared to 17.1% in Sandy.
- Depression is more prevalent in Mountain home at 28.5% compared to 26.7% in Sandy.
- Smoking is more prevalent in Mountain home at 21.1% compared to 7.8% in Sandy.
- More residents engage in binge drinking in Sandy at 16.4% compared to 16.3% in Mountain home.
- Obesity rates are higher in Mountain home at 34.3% compared to 29.0% in Sandy.
- Disability percentages are higher in Mountain home at 22.0% compared to 9.0% in Sandy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain home | Sandy |
|---|---|---|
| No Schooling | 0.7% (87) | 0.5% (424) |
| High School Diploma | 16.9% (2,225) | 10.9% (10,176) |
| Less than High School | 14.2% (1,870) | 5.7% (5,337) |
| Bachelor's Degree and Higher | 15.0% (1,973) | 30.5% (28,394) |
Education Levels Comparison: Mountain home vs Sandy
- A higher percentage of residents in Mountain home have no formal schooling at 0.7% compared to 0.5% in Sandy.
- A higher percentage of residents in Mountain home hold a high school diploma at 16.9% compared to 10.9% in Sandy.
- More residents in Mountain home have less than a high school education at 14.2% compared to 5.7% in Sandy.
- In Sandy, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 15.0% in Mountain home.
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.