Demographics details for Anza, CA vs Mountain home, AR
Population Overview
Compare main population characteristics in Anza, CA vs Mountain home, AR.
| Data | Anza | Mountain home |
|---|---|---|
| Population | 1,959 | 13,150 |
| Median Age | 43.3 years | 41.8 years |
| Median Income | $50,956 | $42,281 |
| Married Families | 32.0% | 38.0% |
| Poverty Level | 14% | 14% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Anza vs Mountain home
- The population in Mountain home is higher at 13,150, compared to 1,959 in Anza.
- Residents in Anza have a higher median age of 43.3 years compared to 41.8 years in Mountain home.
- Anza has a higher median income of $50,956 compared to $42,281 in Mountain home.
- In Mountain home, the percentage of married families is higher at 38.0%, compared to 32.0% in Anza.
- The poverty level is identical in both Anza and Mountain home at 14%.
- The unemployment rate is the same in both Anza and Mountain home at 3.5%.
Demographics
Demographics Anza vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Anza | Mountain home |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 58 | 90 |
| Asian | 14 | 1 |
| Hispanic | 18 | 4 |
| Two or More Races | 9 | 4 |
| American Indian | 1 | 1 |
Demographics Comparison: Anza vs Mountain home
- The percentage of Black residents is the same in both Anza and Mountain home at 0%.
- The percentage of White residents is higher in Mountain home at 90% compared to 58% in Anza.
- The Asian population is larger in Anza at 14% compared to 1% in Mountain home.
- The Hispanic community is larger in Anza at 18% compared to 4% in Mountain home.
- More residents identify as two or more races in Anza at 9% compared to 4% in Mountain home.
- The percentage of American Indian residents is the same in both Anza and Mountain home at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Anza | Mountain home |
|---|---|---|
| Mental Health Not Good | 17.7% | 19.2% |
| Physical Health Not Good | 12.5% | 12.9% |
| Depression | 19.9% | 28.5% |
| Smoking | 15.6% | 21.1% |
| Binge Drinking | 17.1% | 16.3% |
| Obesity | 37.1% | 34.3% |
| Disability Percentage | 24.0% | 22.0% |
Health Statistics Comparison: Anza vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 19.2% compared to 17.7% in Anza.
- Higher depression rates are seen in Mountain home at 28.5% versus 19.9% in Anza.
- Mountain home has a higher smoking rate at 21.1% compared to 15.6% in Anza.
- Binge drinking is more common in Anza at 17.1% compared to 16.3% in Mountain home.
- Obesity rates are higher in Anza at 37.1% compared to 34.3% in Mountain home.
- Disability percentages are higher in Anza at 24.0% compared to 22.0% in Mountain home.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Anza | Mountain home |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (87) |
| High School Diploma | 9.4% (184) | 16.9% (2,225) |
| Less than High School | 15.5% (304) | 14.2% (1,870) |
| Bachelor's Degree and Higher | 19.4% (381) | 15.0% (1,973) |
Education Levels Comparison: Anza vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Anza.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.9% compared to 9.4% in Anza.
- More residents in Anza have less than a high school education at 15.5% compared to 14.2% in Mountain home.
- A higher percentage of residents in Anza hold a bachelor's degree or higher at 19.4% 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.