Demographics details for Mountain home, ID vs Victorville, CA
Population Overview
Compare main population characteristics in Mountain home, ID vs Victorville, CA.
Data | Mountain home | Victorville |
---|---|---|
Population | 16,469 | 137,221 |
Median Age | 31.3 years | 31.8 years |
Median Income | $53,108 | $65,746 |
Married Families | 36.0% | 31.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 3.1 | 7.5 |
Population Comparison: Mountain home vs Victorville
- The population in Victorville is higher at 137,221, compared to 16,469 in Mountain home.
- The median age in Victorville is higher at 31.8 years, compared to 31.3 years in Mountain home.
- Victorville has a higher median income of $65,746, compared to $53,108 in Mountain home.
- A higher percentage of married families is found in Mountain home at 36.0% compared to 31.0% in Victorville.
- The poverty level is identical in both Mountain home and Victorville at 12%.
- Victorville has a higher unemployment rate at 7.5% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Victorville provide insight into the diversity of the communities to compare.
Demographic | Mountain home | Victorville |
---|---|---|
Black | 2 | 17 |
White | 69 | 4 |
Asian | 4 | 4 |
Hispanic | 14 | 54 |
Two or More Races | 9 | 19 |
American Indian | 2 | 2 |
Demographics Comparison: Mountain home vs Victorville
- In Victorville, the percentage of Black residents is higher at 17% compared to 2% in Mountain home.
- Mountain home has a higher percentage of White residents at 69% compared to 4% in Victorville.
- Both Mountain home and Victorville have the same percentage of Asian residents at 4%.
- Victorville has a higher percentage of Hispanic residents at 54%, compared to 14% in Mountain home.
- The percentage of residents identifying as two or more races is higher in Victorville at 19%, compared to 9% in Mountain home.
- The percentage of American Indian residents is the same in both Mountain home and Victorville at 2%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mountain home | Victorville |
---|---|---|
Mental Health Not Good | 16.9% | 18.4% |
Physical Health Not Good | 12.6% | 14.4% |
Depression | 22.4% | 19.0% |
Smoking | 18.3% | 16.2% |
Binge Drinking | 15.8% | 14.8% |
Obesity | 36.1% | 41.3% |
Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Mountain home vs Victorville
- In Victorville, a higher percentage report poor mental health at 18.4% compared to 16.9% in Mountain home.
- Depression is more prevalent in Mountain home at 22.4% compared to 19.0% in Victorville.
- Smoking is more prevalent in Mountain home at 18.3% compared to 16.2% in Victorville.
- Binge drinking is more common in Mountain home at 15.8% compared to 14.8% in Victorville.
- Victorville has higher obesity rates at 41.3% compared to 36.1% in Mountain home.
- Disability percentages are higher in Mountain home at 18.0% compared to 13.0% in Victorville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mountain home | Victorville |
---|---|---|
No Schooling | 1.7% (273) | 1.7% (2,334) |
High School Diploma | 16.3% (2,690) | 15.1% (20,711) |
Less than High School | 12.8% (2,116) | 24.1% (33,076) |
Bachelor's Degree and Higher | 10.4% (1,720) | 6.6% (9,125) |
Education Levels Comparison: Mountain home vs Victorville
- The percentage of residents with no formal schooling is the same in both Mountain home and Victorville at 1.7%.
- A higher percentage of residents in Mountain home hold a high school diploma at 16.3% compared to 15.1% in Victorville.
- The percentage of residents with less than a high school education is higher in Victorville at 24.1%, compared to 12.8% in Mountain home.
- A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 10.4% compared to 6.6% in Victorville.
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.