Demographics details for Loma linda, CA vs Monett, MO
Population Overview
Compare main population characteristics in Loma linda, CA vs Monett, MO.
| Data | Loma linda | Monett |
|---|---|---|
| Population | 25,129 | 9,789 |
| Median Age | 37.8 years | 34.7 years |
| Median Income | $70,685 | $42,635 |
| Married Families | 40.0% | 33.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 3.7 | 3.8 |
Population Comparison: Loma linda vs Monett
- In Loma linda, the population is higher at 25,129, compared to 9,789 in Monett.
- Residents in Loma linda have a higher median age of 37.8 years compared to 34.7 years in Monett.
- Loma linda has a higher median income of $70,685 compared to $42,635 in Monett.
- A higher percentage of married families is found in Loma linda at 40.0% compared to 33.0% in Monett.
- The poverty level is higher in Monett at 15%, compared to 10% in Loma linda.
- Monett has a higher unemployment rate at 3.8% compared to 3.7% in Loma linda.
Demographics
Demographics Loma linda vs Monett provide insight into the diversity of the communities to compare.
| Demographic | Loma linda | Monett |
|---|---|---|
| Black | 6 | Data is updating |
| White | 28 | 51 |
| Asian | 26 | 2 |
| Hispanic | 28 | 29 |
| Two or More Races | 11 | 15 |
| American Indian | 1 | 3 |
Demographics Comparison: Loma linda vs Monett
- A higher percentage of Black residents are in Loma linda at 6% compared to 0% in Monett.
- The percentage of White residents is higher in Monett at 51% compared to 28% in Loma linda.
- The Asian population is larger in Loma linda at 26% compared to 2% in Monett.
- Monett has a higher percentage of Hispanic residents at 29%, compared to 28% in Loma linda.
- The percentage of residents identifying as two or more races is higher in Monett at 15%, compared to 11% in Loma linda.
- In Monett, the percentage of American Indian residents is higher at 3%, compared to 1% in Loma linda.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Loma linda | Monett |
|---|---|---|
| Mental Health Not Good | 15.1% | 18.9% |
| Physical Health Not Good | 10.2% | 14.4% |
| Depression | 16.5% | 25.3% |
| Smoking | 11.1% | 22.8% |
| Binge Drinking | 13.9% | 16.5% |
| Obesity | 31.7% | 41.0% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Loma linda vs Monett
- In Monett, a higher percentage report poor mental health at 18.9% compared to 15.1% in Loma linda.
- Higher depression rates are seen in Monett at 25.3% versus 16.5% in Loma linda.
- Monett has a higher smoking rate at 22.8% compared to 11.1% in Loma linda.
- More residents engage in binge drinking in Monett at 16.5% compared to 13.9% in Loma linda.
- Monett has higher obesity rates at 41.0% compared to 31.7% in Loma linda.
- Disability percentages are the same in both Loma linda and Monett at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Loma linda | Monett |
|---|---|---|
| No Schooling | 1.6% (401) | 1.0% (97) |
| High School Diploma | 9.5% (2,397) | 20.5% (2,003) |
| Less than High School | 13.1% (3,304) | 20.0% (1,953) |
| Bachelor's Degree and Higher | 35.4% (8,904) | 8.4% (822) |
Education Levels Comparison: Loma linda vs Monett
- A higher percentage of residents in Loma linda have no formal schooling at 1.6% compared to 1.0% in Monett.
- In Monett, the rate of residents with high school diplomas is higher at 20.5% compared to 9.5% in Loma linda.
- The percentage of residents with less than a high school education is higher in Monett 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 Monett.
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.