Demographics details for Loma linda, CA vs Shabbona, IL
Population Overview
Compare main population characteristics in Loma linda, CA vs Shabbona, IL.
| Data | Loma linda | Shabbona |
|---|---|---|
| Population | 25,129 | 850 |
| Median Age | 37.8 years | 53.7 years |
| Median Income | $70,685 | $60,625 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.7 | 5.1 |
Population Comparison: Loma linda vs Shabbona
- In Loma linda, the population is higher at 25,129, compared to 850 in Shabbona.
- The median age in Shabbona is higher at 53.7 years, compared to 37.8 years in Loma linda.
- Loma linda has a higher median income of $70,685 compared to $60,625 in Shabbona.
- A higher percentage of married families is found in Loma linda at 40.0% compared to 34.0% in Shabbona.
- Loma linda has a higher poverty level at 10% compared to 8% in Shabbona.
- Shabbona has a higher unemployment rate at 5.1% compared to 3.7% in Loma linda.
Demographics
Demographics Loma linda vs Shabbona provide insight into the diversity of the communities to compare.
| Demographic | Loma linda | Shabbona |
|---|---|---|
| Black | 6 | 1 |
| White | 28 | 94 |
| Asian | 26 | Data is updating |
| Hispanic | 28 | 3 |
| Two or More Races | 11 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Loma linda vs Shabbona
- A higher percentage of Black residents are in Loma linda at 6% compared to 1% in Shabbona.
- The percentage of White residents is higher in Shabbona at 94% compared to 28% in Loma linda.
- The Asian population is larger in Loma linda at 26% compared to 0% in Shabbona.
- The Hispanic community is larger in Loma linda at 28% compared to 3% in Shabbona.
- More residents identify as two or more races in Loma linda at 11% compared to 2% in Shabbona.
- A greater percentage of American Indian residents live in Loma linda at 1% compared to 0% in Shabbona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Loma linda | Shabbona |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.2% |
| Physical Health Not Good | 10.2% | 10.5% |
| Depression | 16.5% | 22.1% |
| Smoking | 11.1% | 16.5% |
| Binge Drinking | 13.9% | 18.8% |
| Obesity | 31.7% | 36.3% |
| Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Loma linda vs Shabbona
- In Shabbona, a higher percentage report poor mental health at 16.2% compared to 15.1% in Loma linda.
- Higher depression rates are seen in Shabbona at 22.1% versus 16.5% in Loma linda.
- Shabbona has a higher smoking rate at 16.5% compared to 11.1% in Loma linda.
- More residents engage in binge drinking in Shabbona at 18.8% compared to 13.9% in Loma linda.
- Shabbona has higher obesity rates at 36.3% compared to 31.7% in Loma linda.
- There is a higher percentage of disabled individuals in Shabbona at 24.0% 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 | Shabbona |
|---|---|---|
| No Schooling | 1.6% (401) | 0.0% (Data is updating) |
| High School Diploma | 9.5% (2,397) | 22.1% (188) |
| Less than High School | 13.1% (3,304) | 7.6% (65) |
| Bachelor's Degree and Higher | 35.4% (8,904) | 12.2% (104) |
Education Levels Comparison: Loma linda vs Shabbona
- A higher percentage of residents in Loma linda have no formal schooling at 1.6% compared to 0.0% in Shabbona.
- In Shabbona, the rate of residents with high school diplomas is higher at 22.1% compared to 9.5% in Loma linda.
- More residents in Loma linda have less than a high school education at 13.1% compared to 7.6% in Shabbona.
- A higher percentage of residents in Loma linda hold a bachelor's degree or higher at 35.4% compared to 12.2% in Shabbona.
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.