Demographics details for Tempe, AZ vs Mountain home, AR
Population Overview
Compare main population characteristics in Tempe, AZ vs Mountain home, AR.
Data | Tempe | Mountain home |
---|---|---|
Population | 185,950 | 13,150 |
Median Age | 29.7 years | 41.8 years |
Median Income | $72,022 | $42,281 |
Married Families | 27.0% | 38.0% |
Poverty Level | 12% | 14% |
Unemployment Rate | 3.3 | 3.5 |
Population Comparison: Tempe vs Mountain home
- In Tempe, the population is higher at 185,950, compared to 13,150 in Mountain home.
- The median age in Mountain home is higher at 41.8 years, compared to 29.7 years in Tempe.
- Tempe has a higher median income of $72,022 compared to $42,281 in Mountain home.
- In Mountain home, the percentage of married families is higher at 38.0%, compared to 27.0% in Tempe.
- The poverty level is higher in Mountain home at 14%, compared to 12% in Tempe.
- Mountain home has a higher unemployment rate at 3.5% compared to 3.3% in Tempe.
Demographics
Demographics Tempe vs Mountain home provide insight into the diversity of the communities to compare.
Demographic | Tempe | Mountain home |
---|---|---|
Black | 7 | Data is updating |
White | 47 | 90 |
Asian | 9 | 1 |
Hispanic | 23 | 4 |
Two or More Races | 11 | 4 |
American Indian | 3 | 1 |
Demographics Comparison: Tempe vs Mountain home
- A higher percentage of Black residents are in Tempe at 7% compared to 0% in Mountain home.
- The percentage of White residents is higher in Mountain home at 90% compared to 47% in Tempe.
- The Asian population is larger in Tempe at 9% compared to 1% in Mountain home.
- The Hispanic community is larger in Tempe at 23% compared to 4% in Mountain home.
- More residents identify as two or more races in Tempe at 11% compared to 4% in Mountain home.
- A greater percentage of American Indian residents live in Tempe at 3% compared to 1% in Mountain home.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tempe | Mountain home |
---|---|---|
Mental Health Not Good | 16.6% | 19.2% |
Physical Health Not Good | 10.0% | 12.9% |
Depression | 19.4% | 28.5% |
Smoking | 13.6% | 21.1% |
Binge Drinking | 17.7% | 16.3% |
Obesity | 30.3% | 34.3% |
Disability Percentage | 10.0% | 22.0% |
Health Statistics Comparison: Tempe vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 19.2% compared to 16.6% in Tempe.
- Higher depression rates are seen in Mountain home at 28.5% versus 19.4% in Tempe.
- Mountain home has a higher smoking rate at 21.1% compared to 13.6% in Tempe.
- Binge drinking is more common in Tempe at 17.7% compared to 16.3% in Mountain home.
- Mountain home has higher obesity rates at 34.3% compared to 30.3% in Tempe.
- There is a higher percentage of disabled individuals in Mountain home at 22.0% compared to 10.0% in Tempe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tempe | Mountain home |
---|---|---|
No Schooling | 0.5% (996) | 0.7% (87) |
High School Diploma | 7.7% (14,376) | 16.9% (2,225) |
Less than High School | 7.1% (13,158) | 14.2% (1,870) |
Bachelor's Degree and Higher | 30.1% (56,046) | 15.0% (1,973) |
Education Levels Comparison: Tempe vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Tempe.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.9% compared to 7.7% in Tempe.
- The percentage of residents with less than a high school education is higher in Mountain home at 14.2%, compared to 7.1% in Tempe.
- A higher percentage of residents in Tempe hold a bachelor's degree or higher at 30.1% 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.