Demographics details for Billings, MT vs Loma linda, CA
Population Overview
Compare main population characteristics in Billings, MT vs Loma linda, CA.
| Data | Billings | Loma linda |
|---|---|---|
| Population | 119,960 | 25,129 |
| Median Age | 37.7 years | 37.8 years |
| Median Income | $69,692 | $70,685 |
| Married Families | 37.0% | 40.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Billings vs Loma linda
- In Billings, the population is higher at 119,960, compared to 25,129 in Loma linda.
- The median age in Loma linda is higher at 37.8 years, compared to 37.7 years in Billings.
- Loma linda has a higher median income of $70,685, compared to $69,692 in Billings.
- In Loma linda, the percentage of married families is higher at 40.0%, compared to 37.0% in Billings.
- The poverty level is identical in both Billings and Loma linda at 10%.
- Loma linda has a higher unemployment rate at 3.7% compared to 3.5% in Billings.
Demographics
Demographics Billings vs Loma linda provide insight into the diversity of the communities to compare.
| Demographic | Billings | Loma linda |
|---|---|---|
| Black | 1 | 6 |
| White | 82 | 28 |
| Asian | 1 | 26 |
| Hispanic | 7 | 28 |
| Two or More Races | 5 | 11 |
| American Indian | 4 | 1 |
Demographics Comparison: Billings vs Loma linda
- In Loma linda, the percentage of Black residents is higher at 6% compared to 1% in Billings.
- Billings has a higher percentage of White residents at 82% compared to 28% in Loma linda.
- In Loma linda, the Asian population stands at 26%, greater than 1% in Billings.
- Loma linda has a higher percentage of Hispanic residents at 28%, compared to 7% in Billings.
- The percentage of residents identifying as two or more races is higher in Loma linda at 11%, compared to 5% in Billings.
- A greater percentage of American Indian residents live in Billings at 4% compared to 1% in Loma linda.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Billings | Loma linda |
|---|---|---|
| Mental Health Not Good | 16.6% | 15.1% |
| Physical Health Not Good | 11.1% | 10.2% |
| Depression | 27.8% | 16.5% |
| Smoking | 16.1% | 11.1% |
| Binge Drinking | 22.9% | 13.9% |
| Obesity | 32.9% | 31.7% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Billings vs Loma linda
- More residents in Billings report poor mental health at 16.6% compared to 15.1% in Loma linda.
- Depression is more prevalent in Billings at 27.8% compared to 16.5% in Loma linda.
- Smoking is more prevalent in Billings at 16.1% compared to 11.1% in Loma linda.
- Binge drinking is more common in Billings at 22.9% compared to 13.9% in Loma linda.
- Obesity rates are higher in Billings at 32.9% compared to 31.7% in Loma linda.
- Disability percentages are the same in both Billings and Loma linda at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Billings | Loma linda |
|---|---|---|
| No Schooling | 0.3% (321) | 1.6% (401) |
| High School Diploma | 14.7% (17,691) | 9.5% (2,397) |
| Less than High School | 5.4% (6,502) | 13.1% (3,304) |
| Bachelor's Degree and Higher | 24.8% (29,705) | 35.4% (8,904) |
Education Levels Comparison: Billings vs Loma linda
- In Loma linda, a larger percentage of residents lack formal schooling at 1.6% compared to 0.3% in Billings.
- A higher percentage of residents in Billings hold a high school diploma at 14.7% 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 5.4% in Billings.
- In Loma linda, a larger share of residents have a bachelor's degree or higher at 35.4% compared to 24.8% in Billings.
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.