Demographics details for Loma linda, CA vs Chesapeake, VA
Population Overview
Compare main population characteristics in Loma linda, CA vs Chesapeake, VA.
| Data | Loma linda | Chesapeake |
|---|---|---|
| Population | 25,129 | 252,488 |
| Median Age | 37.8 years | 37.4 years |
| Median Income | $70,685 | $92,703 |
| Married Families | 40.0% | 43.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.7 | 3.0 |
Population Comparison: Loma linda vs Chesapeake
- The population in Chesapeake is higher at 252,488, compared to 25,129 in Loma linda.
- Residents in Loma linda have a higher median age of 37.8 years compared to 37.4 years in Chesapeake.
- Chesapeake has a higher median income of $92,703, compared to $70,685 in Loma linda.
- In Chesapeake, the percentage of married families is higher at 43.0%, compared to 40.0% in Loma linda.
- Loma linda has a higher poverty level at 10% compared to 8% in Chesapeake.
- The unemployment rate in Loma linda is higher at 3.7%, compared to 3.0% in Chesapeake.
Demographics
Demographics Loma linda vs Chesapeake provide insight into the diversity of the communities to compare.
| Demographic | Loma linda | Chesapeake |
|---|---|---|
| Black | 6 | 29 |
| White | 28 | 53 |
| Asian | 26 | 4 |
| Hispanic | 28 | 7 |
| Two or More Races | 11 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Loma linda vs Chesapeake
- In Chesapeake, the percentage of Black residents is higher at 29% compared to 6% in Loma linda.
- The percentage of White residents is higher in Chesapeake at 53% compared to 28% in Loma linda.
- The Asian population is larger in Loma linda at 26% compared to 4% in Chesapeake.
- The Hispanic community is larger in Loma linda at 28% compared to 7% in Chesapeake.
- More residents identify as two or more races in Loma linda at 11% compared to 7% in Chesapeake.
- A greater percentage of American Indian residents live in Loma linda at 1% compared to 0% in Chesapeake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Loma linda | Chesapeake |
|---|---|---|
| Mental Health Not Good | 15.1% | 15.9% |
| Physical Health Not Good | 10.2% | 10.0% |
| Depression | 16.5% | 20.9% |
| Smoking | 11.1% | 14.8% |
| Binge Drinking | 13.9% | 16.1% |
| Obesity | 31.7% | 36.1% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Loma linda vs Chesapeake
- In Chesapeake, a higher percentage report poor mental health at 15.9% compared to 15.1% in Loma linda.
- Higher depression rates are seen in Chesapeake at 20.9% versus 16.5% in Loma linda.
- Chesapeake has a higher smoking rate at 14.8% compared to 11.1% in Loma linda.
- More residents engage in binge drinking in Chesapeake at 16.1% compared to 13.9% in Loma linda.
- Chesapeake has higher obesity rates at 36.1% compared to 31.7% in Loma linda.
- Disability percentages are higher in Loma linda at 13.0% compared to 11.0% in Chesapeake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Loma linda | Chesapeake |
|---|---|---|
| No Schooling | 1.6% (401) | 0.8% (2,039) |
| High School Diploma | 9.5% (2,397) | 13.1% (33,024) |
| Less than High School | 13.1% (3,304) | 7.0% (17,684) |
| Bachelor's Degree and Higher | 35.4% (8,904) | 23.8% (60,160) |
Education Levels Comparison: Loma linda vs Chesapeake
- A higher percentage of residents in Loma linda have no formal schooling at 1.6% compared to 0.8% in Chesapeake.
- In Chesapeake, the rate of residents with high school diplomas is higher at 13.1% 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 Chesapeake.
- A higher percentage of residents in Loma linda hold a bachelor's degree or higher at 35.4% compared to 23.8% in Chesapeake.
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.