Demographics details for Loma linda, CA vs Hampton, VA
Population Overview
Compare main population characteristics in Loma linda, CA vs Hampton, VA.
| Data | Loma linda | Hampton |
|---|---|---|
| Population | 25,129 | 138,037 |
| Median Age | 37.8 years | 36.5 years |
| Median Income | $70,685 | $64,430 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.7 | 3.7 |
Population Comparison: Loma linda vs Hampton
- The population in Hampton is higher at 138,037, compared to 25,129 in Loma linda.
- Residents in Loma linda have a higher median age of 37.8 years compared to 36.5 years in Hampton.
- Loma linda has a higher median income of $70,685 compared to $64,430 in Hampton.
- A higher percentage of married families is found in Loma linda at 40.0% compared to 34.0% in Hampton.
- The poverty level is higher in Hampton at 12%, compared to 10% in Loma linda.
- The unemployment rate is the same in both Loma linda and Hampton at 3.7%.
Demographics
Demographics Loma linda vs Hampton provide insight into the diversity of the communities to compare.
| Demographic | Loma linda | Hampton |
|---|---|---|
| Black | 6 | 49 |
| White | 28 | 34 |
| Asian | 26 | 2 |
| Hispanic | 28 | 7 |
| Two or More Races | 11 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Loma linda vs Hampton
- In Hampton, the percentage of Black residents is higher at 49% compared to 6% in Loma linda.
- The percentage of White residents is higher in Hampton at 34% compared to 28% in Loma linda.
- The Asian population is larger in Loma linda at 26% compared to 2% in Hampton.
- The Hispanic community is larger in Loma linda at 28% compared to 7% in Hampton.
- More residents identify as two or more races in Loma linda at 11% compared to 8% in Hampton.
- A greater percentage of American Indian residents live in Loma linda at 1% compared to 0% in Hampton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Loma linda | Hampton |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.8% |
| Physical Health Not Good | 10.2% | 11.3% |
| Depression | 16.5% | 21.1% |
| Smoking | 11.1% | 17.7% |
| Binge Drinking | 13.9% | 15.2% |
| Obesity | 31.7% | 42.6% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Loma linda vs Hampton
- In Hampton, a higher percentage report poor mental health at 16.8% compared to 15.1% in Loma linda.
- Higher depression rates are seen in Hampton at 21.1% versus 16.5% in Loma linda.
- Hampton has a higher smoking rate at 17.7% compared to 11.1% in Loma linda.
- More residents engage in binge drinking in Hampton at 15.2% compared to 13.9% in Loma linda.
- Hampton has higher obesity rates at 42.6% compared to 31.7% in Loma linda.
- There is a higher percentage of disabled individuals in Hampton at 15.0% compared to 13.0% in Loma linda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Loma linda | Hampton |
|---|---|---|
| No Schooling | 1.6% (401) | 0.7% (1,033) |
| High School Diploma | 9.5% (2,397) | 16.8% (23,123) |
| Less than High School | 13.1% (3,304) | 7.0% (9,612) |
| Bachelor's Degree and Higher | 35.4% (8,904) | 18.5% (25,602) |
Education Levels Comparison: Loma linda vs Hampton
- A higher percentage of residents in Loma linda have no formal schooling at 1.6% compared to 0.7% in Hampton.
- In Hampton, the rate of residents with high school diplomas is higher at 16.8% compared to 9.5% in Loma linda.
- More residents in Loma linda have less than a high school education at 13.1% compared to 7.0% in Hampton.
- A higher percentage of residents in Loma linda hold a bachelor's degree or higher at 35.4% compared to 18.5% in Hampton.
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.