Demographics details for Mount gilead, NC vs Victorville, CA
Population Overview
Compare main population characteristics in Mount gilead, NC vs Victorville, CA.
Data | Mount gilead | Victorville |
---|---|---|
Population | 1,167 | 137,221 |
Median Age | 46.4 years | 31.8 years |
Median Income | $65,388 | $65,746 |
Married Families | 34.0% | 31.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 5.2 | 7.5 |
Population Comparison: Mount gilead vs Victorville
- The population in Victorville is higher at 137,221, compared to 1,167 in Mount gilead.
- Residents in Mount gilead have a higher median age of 46.4 years compared to 31.8 years in Victorville.
- Victorville has a higher median income of $65,746, compared to $65,388 in Mount gilead.
- A higher percentage of married families is found in Mount gilead at 34.0% compared to 31.0% in Victorville.
- The poverty level is identical in both Mount gilead and Victorville at 12%.
- Victorville has a higher unemployment rate at 7.5% compared to 5.2% in Mount gilead.
Demographics
Demographics Mount gilead vs Victorville provide insight into the diversity of the communities to compare.
Demographic | Mount gilead | Victorville |
---|---|---|
Black | 47 | 17 |
White | 43 | 4 |
Asian | 8 | 4 |
Hispanic | Data is updating | 54 |
Two or More Races | 1 | 19 |
American Indian | 1 | 2 |
Demographics Comparison: Mount gilead vs Victorville
- A higher percentage of Black residents are in Mount gilead at 47% compared to 17% in Victorville.
- Mount gilead has a higher percentage of White residents at 43% compared to 4% in Victorville.
- The Asian population is larger in Mount gilead at 8% compared to 4% in Victorville.
- Victorville has a higher percentage of Hispanic residents at 54%, compared to 0% in Mount gilead.
- The percentage of residents identifying as two or more races is higher in Victorville at 19%, compared to 1% in Mount gilead.
- In Victorville, the percentage of American Indian residents is higher at 2%, compared to 1% in Mount gilead.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount gilead | Victorville |
---|---|---|
Mental Health Not Good | 18.3% | 18.4% |
Physical Health Not Good | 13.5% | 14.4% |
Depression | 22.1% | 19.0% |
Smoking | 21.9% | 16.2% |
Binge Drinking | 14.0% | 14.8% |
Obesity | 42.0% | 41.3% |
Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Mount gilead vs Victorville
- In Victorville, a higher percentage report poor mental health at 18.4% compared to 18.3% in Mount gilead.
- Depression is more prevalent in Mount gilead at 22.1% compared to 19.0% in Victorville.
- Smoking is more prevalent in Mount gilead at 21.9% compared to 16.2% in Victorville.
- More residents engage in binge drinking in Victorville at 14.8% compared to 14.0% in Mount gilead.
- Obesity rates are higher in Mount gilead at 42.0% compared to 41.3% in Victorville.
- Disability percentages are higher in Mount gilead 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 | Mount gilead | Victorville |
---|---|---|
No Schooling | 0.3% (3) | 1.7% (2,334) |
High School Diploma | 15.0% (175) | 15.1% (20,711) |
Less than High School | 7.6% (89) | 24.1% (33,076) |
Bachelor's Degree and Higher | 16.3% (190) | 6.6% (9,125) |
Education Levels Comparison: Mount gilead vs Victorville
- In Victorville, a larger percentage of residents lack formal schooling at 1.7% compared to 0.3% in Mount gilead.
- In Victorville, the rate of residents with high school diplomas is higher at 15.1% compared to 15.0% in Mount gilead.
- The percentage of residents with less than a high school education is higher in Victorville at 24.1%, compared to 7.6% in Mount gilead.
- A higher percentage of residents in Mount gilead hold a bachelor's degree or higher at 16.3% 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.