Demographics details for Laurel, MT vs Victorville, CA
Population Overview
Compare main population characteristics in Laurel, MT vs Victorville, CA.
| Data | Laurel | Victorville |
|---|---|---|
| Population | 7,203 | 137,221 |
| Median Age | 36.5 years | 31.8 years |
| Median Income | $62,250 | $65,746 |
| Married Families | 37.0% | 31.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.5 | 7.5 |
Population Comparison: Laurel vs Victorville
- The population in Victorville is higher at 137,221, compared to 7,203 in Laurel.
- Residents in Laurel have a higher median age of 36.5 years compared to 31.8 years in Victorville.
- Victorville has a higher median income of $65,746, compared to $62,250 in Laurel.
- A higher percentage of married families is found in Laurel at 37.0% compared to 31.0% in Victorville.
- The poverty level is higher in Victorville at 12%, compared to 7% in Laurel.
- Victorville has a higher unemployment rate at 7.5% compared to 3.5% in Laurel.
Demographics
Demographics Laurel vs Victorville provide insight into the diversity of the communities to compare.
| Demographic | Laurel | Victorville |
|---|---|---|
| Black | Data is updating | 17 |
| White | 83 | 4 |
| Asian | 2 | 4 |
| Hispanic | 7 | 54 |
| Two or More Races | 7 | 19 |
| American Indian | 1 | 2 |
Demographics Comparison: Laurel vs Victorville
- In Victorville, the percentage of Black residents is higher at 17% compared to 0% in Laurel.
- Laurel has a higher percentage of White residents at 83% compared to 4% in Victorville.
- In Victorville, the Asian population stands at 4%, greater than 2% in Laurel.
- Victorville has a higher percentage of Hispanic residents at 54%, compared to 7% in Laurel.
- The percentage of residents identifying as two or more races is higher in Victorville at 19%, compared to 7% in Laurel.
- In Victorville, the percentage of American Indian residents is higher at 2%, compared to 1% in Laurel.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laurel | Victorville |
|---|---|---|
| Mental Health Not Good | 16.4% | 18.4% |
| Physical Health Not Good | 10.8% | 14.4% |
| Depression | 27.8% | 19.0% |
| Smoking | 15.8% | 16.2% |
| Binge Drinking | 23.8% | 14.8% |
| Obesity | 32.2% | 41.3% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Laurel vs Victorville
- In Victorville, a higher percentage report poor mental health at 18.4% compared to 16.4% in Laurel.
- Depression is more prevalent in Laurel at 27.8% compared to 19.0% in Victorville.
- Victorville has a higher smoking rate at 16.2% compared to 15.8% in Laurel.
- Binge drinking is more common in Laurel at 23.8% compared to 14.8% in Victorville.
- Victorville has higher obesity rates at 41.3% compared to 32.2% in Laurel.
- Disability percentages are the same in both Laurel and Victorville at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Laurel | Victorville |
|---|---|---|
| No Schooling | 0.2% (14) | 1.7% (2,334) |
| High School Diploma | 21.7% (1,563) | 15.1% (20,711) |
| Less than High School | 7.7% (556) | 24.1% (33,076) |
| Bachelor's Degree and Higher | 10.8% (780) | 6.6% (9,125) |
Education Levels Comparison: Laurel vs Victorville
- In Victorville, a larger percentage of residents lack formal schooling at 1.7% compared to 0.2% in Laurel.
- A higher percentage of residents in Laurel hold a high school diploma at 21.7% 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 7.7% in Laurel.
- A higher percentage of residents in Laurel hold a bachelor's degree or higher at 10.8% 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.