Demographics details for Loma linda, CA vs Lashmeet, WV
Population Overview
Compare main population characteristics in Loma linda, CA vs Lashmeet, WV.
| Data | Loma linda | Lashmeet |
|---|---|---|
| Population | 25,129 | 704 |
| Median Age | 37.8 years | 61.1 years |
| Median Income | $70,685 | $43,701 |
| Married Families | 40.0% | 38.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.7 | 4.0 |
Population Comparison: Loma linda vs Lashmeet
- In Loma linda, the population is higher at 25,129, compared to 704 in Lashmeet.
- The median age in Lashmeet is higher at 61.1 years, compared to 37.8 years in Loma linda.
- Loma linda has a higher median income of $70,685 compared to $43,701 in Lashmeet.
- A higher percentage of married families is found in Loma linda at 40.0% compared to 38.0% in Lashmeet.
- Loma linda has a higher poverty level at 10% compared to 0% in Lashmeet.
- Lashmeet has a higher unemployment rate at 4.0% compared to 3.7% in Loma linda.
Demographics
Demographics Loma linda vs Lashmeet provide insight into the diversity of the communities to compare.
| Demographic | Loma linda | Lashmeet |
|---|---|---|
| Black | 6 | Data is updating |
| White | 28 | 100 |
| Asian | 26 | Data is updating |
| Hispanic | 28 | Data is updating |
| Two or More Races | 11 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Loma linda vs Lashmeet
- A higher percentage of Black residents are in Loma linda at 6% compared to 0% in Lashmeet.
- The percentage of White residents is higher in Lashmeet at 100% compared to 28% in Loma linda.
- The Asian population is larger in Loma linda at 26% compared to 0% in Lashmeet.
- The Hispanic community is larger in Loma linda at 28% compared to 0% in Lashmeet.
- More residents identify as two or more races in Loma linda at 11% compared to 0% in Lashmeet.
- A greater percentage of American Indian residents live in Loma linda at 1% compared to 0% in Lashmeet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Loma linda | Lashmeet |
|---|---|---|
| Mental Health Not Good | 15.1% | 25.1% |
| Physical Health Not Good | 10.2% | 19.0% |
| Depression | 16.5% | 32.6% |
| Smoking | 11.1% | 27.7% |
| Binge Drinking | 13.9% | 12.2% |
| Obesity | 31.7% | 45.6% |
| Disability Percentage | 13.0% | 22.0% |
Health Statistics Comparison: Loma linda vs Lashmeet
- In Lashmeet, a higher percentage report poor mental health at 25.1% compared to 15.1% in Loma linda.
- Higher depression rates are seen in Lashmeet at 32.6% versus 16.5% in Loma linda.
- Lashmeet has a higher smoking rate at 27.7% compared to 11.1% in Loma linda.
- Binge drinking is more common in Loma linda at 13.9% compared to 12.2% in Lashmeet.
- Lashmeet has higher obesity rates at 45.6% compared to 31.7% in Loma linda.
- There is a higher percentage of disabled individuals in Lashmeet at 22.0% 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 | Lashmeet |
|---|---|---|
| No Schooling | 1.6% (401) | 0.0% (Data is updating) |
| High School Diploma | 9.5% (2,397) | 25.3% (178) |
| Less than High School | 13.1% (3,304) | 47.2% (332) |
| Bachelor's Degree and Higher | 35.4% (8,904) | 5.8% (41) |
Education Levels Comparison: Loma linda vs Lashmeet
- A higher percentage of residents in Loma linda have no formal schooling at 1.6% compared to 0.0% in Lashmeet.
- In Lashmeet, the rate of residents with high school diplomas is higher at 25.3% compared to 9.5% in Loma linda.
- The percentage of residents with less than a high school education is higher in Lashmeet at 47.2%, 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 5.8% in Lashmeet.
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.