Demographics details for Loma linda, CA vs Belgrade, MT
Population Overview
Compare main population characteristics in Loma linda, CA vs Belgrade, MT.
| Data | Loma linda | Belgrade |
|---|---|---|
| Population | 25,129 | 11,966 |
| Median Age | 37.8 years | 33.4 years |
| Median Income | $70,685 | $82,769 |
| Married Families | 40.0% | 36.0% |
| Poverty Level | 10% | 6% |
| Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Loma linda vs Belgrade
- In Loma linda, the population is higher at 25,129, compared to 11,966 in Belgrade.
- Residents in Loma linda have a higher median age of 37.8 years compared to 33.4 years in Belgrade.
- Belgrade has a higher median income of $82,769, compared to $70,685 in Loma linda.
- A higher percentage of married families is found in Loma linda at 40.0% compared to 36.0% in Belgrade.
- Loma linda has a higher poverty level at 10% compared to 6% in Belgrade.
- The unemployment rate in Loma linda is higher at 3.7%, compared to 3.5% in Belgrade.
Demographics
Demographics Loma linda vs Belgrade provide insight into the diversity of the communities to compare.
| Demographic | Loma linda | Belgrade |
|---|---|---|
| Black | 6 | Data is updating |
| White | 28 | 93 |
| Asian | 26 | 1 |
| Hispanic | 28 | 2 |
| Two or More Races | 11 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Loma linda vs Belgrade
- A higher percentage of Black residents are in Loma linda at 6% compared to 0% in Belgrade.
- The percentage of White residents is higher in Belgrade at 93% compared to 28% in Loma linda.
- The Asian population is larger in Loma linda at 26% compared to 1% in Belgrade.
- The Hispanic community is larger in Loma linda at 28% compared to 2% in Belgrade.
- More residents identify as two or more races in Loma linda at 11% compared to 3% in Belgrade.
- The percentage of American Indian residents is the same in both Loma linda and Belgrade at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Loma linda | Belgrade |
|---|---|---|
| Mental Health Not Good | 15.1% | 14.8% |
| Physical Health Not Good | 10.2% | 9.4% |
| Depression | 16.5% | 23.1% |
| Smoking | 11.1% | 14.1% |
| Binge Drinking | 13.9% | 23.9% |
| Obesity | 31.7% | 24.6% |
| Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Loma linda vs Belgrade
- More residents in Loma linda report poor mental health at 15.1% compared to 14.8% in Belgrade.
- Higher depression rates are seen in Belgrade at 23.1% versus 16.5% in Loma linda.
- Belgrade has a higher smoking rate at 14.1% compared to 11.1% in Loma linda.
- More residents engage in binge drinking in Belgrade at 23.9% compared to 13.9% in Loma linda.
- Obesity rates are higher in Loma linda at 31.7% compared to 24.6% in Belgrade.
- Disability percentages are higher in Loma linda at 13.0% compared to 7.0% in Belgrade.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Loma linda | Belgrade |
|---|---|---|
| No Schooling | 1.6% (401) | 0.2% (25) |
| High School Diploma | 9.5% (2,397) | 14.4% (1,727) |
| Less than High School | 13.1% (3,304) | 2.5% (301) |
| Bachelor's Degree and Higher | 35.4% (8,904) | 22.3% (2,670) |
Education Levels Comparison: Loma linda vs Belgrade
- A higher percentage of residents in Loma linda have no formal schooling at 1.6% compared to 0.2% in Belgrade.
- In Belgrade, the rate of residents with high school diplomas is higher at 14.4% compared to 9.5% in Loma linda.
- More residents in Loma linda have less than a high school education at 13.1% compared to 2.5% in Belgrade.
- A higher percentage of residents in Loma linda hold a bachelor's degree or higher at 35.4% compared to 22.3% in Belgrade.
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.