Demographics details for Waterman, IL vs Loma linda, CA
Population Overview
Compare main population characteristics in Waterman, IL vs Loma linda, CA.
| Data | Waterman | Loma linda |
|---|---|---|
| Population | 1,427 | 25,129 |
| Median Age | 36.2 years | 37.8 years |
| Median Income | $87,292 | $70,685 |
| Married Families | 50.0% | 40.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 4.1 | 3.7 |
Population Comparison: Waterman vs Loma linda
- The population in Loma linda is higher at 25,129, compared to 1,427 in Waterman.
- The median age in Loma linda is higher at 37.8 years, compared to 36.2 years in Waterman.
- Waterman has a higher median income of $87,292 compared to $70,685 in Loma linda.
- A higher percentage of married families is found in Waterman at 50.0% compared to 40.0% in Loma linda.
- The poverty level is higher in Loma linda at 10%, compared to 6% in Waterman.
- The unemployment rate in Waterman is higher at 4.1%, compared to 3.7% in Loma linda.
Demographics
Demographics Waterman vs Loma linda provide insight into the diversity of the communities to compare.
| Demographic | Waterman | Loma linda |
|---|---|---|
| Black | 2 | 6 |
| White | 78 | 28 |
| Asian | 1 | 26 |
| Hispanic | 10 | 28 |
| Two or More Races | 9 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waterman vs Loma linda
- In Loma linda, the percentage of Black residents is higher at 6% compared to 2% in Waterman.
- Waterman has a higher percentage of White residents at 78% compared to 28% in Loma linda.
- In Loma linda, the Asian population stands at 26%, greater than 1% in Waterman.
- Loma linda has a higher percentage of Hispanic residents at 28%, compared to 10% in Waterman.
- The percentage of residents identifying as two or more races is higher in Loma linda at 11%, compared to 9% in Waterman.
- In Loma linda, the percentage of American Indian residents is higher at 1%, compared to 0% in Waterman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterman | Loma linda |
|---|---|---|
| Mental Health Not Good | 16.0% | 15.1% |
| Physical Health Not Good | 10.4% | 10.2% |
| Depression | 21.6% | 16.5% |
| Smoking | 16.2% | 11.1% |
| Binge Drinking | 18.7% | 13.9% |
| Obesity | 36.4% | 31.7% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Waterman vs Loma linda
- More residents in Waterman report poor mental health at 16.0% compared to 15.1% in Loma linda.
- Depression is more prevalent in Waterman at 21.6% compared to 16.5% in Loma linda.
- Smoking is more prevalent in Waterman at 16.2% compared to 11.1% in Loma linda.
- Binge drinking is more common in Waterman at 18.7% compared to 13.9% in Loma linda.
- Obesity rates are higher in Waterman at 36.4% compared to 31.7% in Loma linda.
- There is a higher percentage of disabled individuals in Loma linda at 13.0% compared to 10.0% in Waterman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterman | Loma linda |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.6% (401) |
| High School Diploma | 22.6% (323) | 9.5% (2,397) |
| Less than High School | 8.5% (122) | 13.1% (3,304) |
| Bachelor's Degree and Higher | 15.5% (221) | 35.4% (8,904) |
Education Levels Comparison: Waterman vs Loma linda
- In Loma linda, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Waterman.
- A higher percentage of residents in Waterman hold a high school diploma at 22.6% compared to 9.5% in Loma linda.
- The percentage of residents with less than a high school education is higher in Loma linda at 13.1%, compared to 8.5% in Waterman.
- In Loma linda, a larger share of residents have a bachelor's degree or higher at 35.4% compared to 15.5% in Waterman.
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.