Demographics details for Loma linda, CA vs Wiggins, MS
Population Overview
Compare main population characteristics in Loma linda, CA vs Wiggins, MS.
| Data | Loma linda | Wiggins |
|---|---|---|
| Population | 25,129 | 4,266 |
| Median Age | 37.8 years | 38.7 years |
| Median Income | $70,685 | $44,250 |
| Married Families | 40.0% | 24.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 3.7 | 4.7 |
Population Comparison: Loma linda vs Wiggins
- In Loma linda, the population is higher at 25,129, compared to 4,266 in Wiggins.
- The median age in Wiggins is higher at 38.7 years, compared to 37.8 years in Loma linda.
- Loma linda has a higher median income of $70,685 compared to $44,250 in Wiggins.
- A higher percentage of married families is found in Loma linda at 40.0% compared to 24.0% in Wiggins.
- The poverty level is higher in Wiggins at 14%, compared to 10% in Loma linda.
- Wiggins has a higher unemployment rate at 4.7% compared to 3.7% in Loma linda.
Demographics
Demographics Loma linda vs Wiggins provide insight into the diversity of the communities to compare.
| Demographic | Loma linda | Wiggins |
|---|---|---|
| Black | 6 | 37 |
| White | 28 | 59 |
| Asian | 26 | Data is updating |
| Hispanic | 28 | 2 |
| Two or More Races | 11 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Loma linda vs Wiggins
- In Wiggins, the percentage of Black residents is higher at 37% compared to 6% in Loma linda.
- The percentage of White residents is higher in Wiggins at 59% compared to 28% in Loma linda.
- The Asian population is larger in Loma linda at 26% compared to 0% in Wiggins.
- The Hispanic community is larger in Loma linda at 28% compared to 2% in Wiggins.
- More residents identify as two or more races in Loma linda at 11% compared to 2% in Wiggins.
- A greater percentage of American Indian residents live in Loma linda at 1% compared to 0% in Wiggins.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Loma linda | Wiggins |
|---|---|---|
| Mental Health Not Good | 15.1% | 18.5% |
| Physical Health Not Good | 10.2% | 14.5% |
| Depression | 16.5% | 23.5% |
| Smoking | 11.1% | 24.3% |
| Binge Drinking | 13.9% | 13.6% |
| Obesity | 31.7% | 43.2% |
| Disability Percentage | 13.0% | 31.0% |
Health Statistics Comparison: Loma linda vs Wiggins
- In Wiggins, a higher percentage report poor mental health at 18.5% compared to 15.1% in Loma linda.
- Higher depression rates are seen in Wiggins at 23.5% versus 16.5% in Loma linda.
- Wiggins has a higher smoking rate at 24.3% compared to 11.1% in Loma linda.
- Binge drinking is more common in Loma linda at 13.9% compared to 13.6% in Wiggins.
- Wiggins has higher obesity rates at 43.2% compared to 31.7% in Loma linda.
- There is a higher percentage of disabled individuals in Wiggins at 31.0% 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 | Wiggins |
|---|---|---|
| No Schooling | 1.6% (401) | 1.8% (78) |
| High School Diploma | 9.5% (2,397) | 16.7% (713) |
| Less than High School | 13.1% (3,304) | 20.0% (852) |
| Bachelor's Degree and Higher | 35.4% (8,904) | 8.4% (357) |
Education Levels Comparison: Loma linda vs Wiggins
- In Wiggins, a larger percentage of residents lack formal schooling at 1.8% compared to 1.6% in Loma linda.
- In Wiggins, the rate of residents with high school diplomas is higher at 16.7% compared to 9.5% in Loma linda.
- The percentage of residents with less than a high school education is higher in Wiggins at 20.0%, compared to 13.1% in Loma linda.
- A higher percentage of residents in Loma linda hold a bachelor's degree or higher at 35.4% compared to 8.4% in Wiggins.
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.