Demographics details for Beckley, WV vs Loma linda, CA
Population Overview
Compare main population characteristics in Beckley, WV vs Loma linda, CA.
| Data | Beckley | Loma linda |
|---|---|---|
| Population | 16,749 | 25,129 |
| Median Age | 40.7 years | 37.8 years |
| Median Income | $41,277 | $70,685 |
| Married Families | 32.0% | 40.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Beckley vs Loma linda
- The population in Loma linda is higher at 25,129, compared to 16,749 in Beckley.
- Residents in Beckley have a higher median age of 40.7 years compared to 37.8 years in Loma linda.
- Loma linda has a higher median income of $70,685, compared to $41,277 in Beckley.
- In Loma linda, the percentage of married families is higher at 40.0%, compared to 32.0% in Beckley.
- Beckley has a higher poverty level at 18% compared to 10% in Loma linda.
- Loma linda has a higher unemployment rate at 3.7% compared to 3.5% in Beckley.
Demographics
Demographics Beckley vs Loma linda provide insight into the diversity of the communities to compare.
| Demographic | Beckley | Loma linda |
|---|---|---|
| Black | 18 | 6 |
| White | 71 | 28 |
| Asian | 2 | 26 |
| Hispanic | 2 | 28 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Beckley vs Loma linda
- A higher percentage of Black residents are in Beckley at 18% compared to 6% in Loma linda.
- Beckley has a higher percentage of White residents at 71% compared to 28% in Loma linda.
- In Loma linda, the Asian population stands at 26%, greater than 2% in Beckley.
- Loma linda has a higher percentage of Hispanic residents at 28%, compared to 2% in Beckley.
- The percentage of residents identifying as two or more races is higher in Loma linda at 11%, compared to 7% in Beckley.
- In Loma linda, the percentage of American Indian residents is higher at 1%, compared to 0% in Beckley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Beckley | Loma linda |
|---|---|---|
| Mental Health Not Good | 21.5% | 15.1% |
| Physical Health Not Good | 15.9% | 10.2% |
| Depression | 27.5% | 16.5% |
| Smoking | 24.2% | 11.1% |
| Binge Drinking | 11.9% | 13.9% |
| Obesity | 41.4% | 31.7% |
| Disability Percentage | 26.0% | 13.0% |
Health Statistics Comparison: Beckley vs Loma linda
- More residents in Beckley report poor mental health at 21.5% compared to 15.1% in Loma linda.
- Depression is more prevalent in Beckley at 27.5% compared to 16.5% in Loma linda.
- Smoking is more prevalent in Beckley at 24.2% compared to 11.1% in Loma linda.
- More residents engage in binge drinking in Loma linda at 13.9% compared to 11.9% in Beckley.
- Obesity rates are higher in Beckley at 41.4% compared to 31.7% in Loma linda.
- Disability percentages are higher in Beckley at 26.0% 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 | Beckley | Loma linda |
|---|---|---|
| No Schooling | 1.0% (166) | 1.6% (401) |
| High School Diploma | 19.1% (3,193) | 9.5% (2,397) |
| Less than High School | 13.5% (2,268) | 13.1% (3,304) |
| Bachelor's Degree and Higher | 16.4% (2,745) | 35.4% (8,904) |
Education Levels Comparison: Beckley vs Loma linda
- In Loma linda, a larger percentage of residents lack formal schooling at 1.6% compared to 1.0% in Beckley.
- A higher percentage of residents in Beckley hold a high school diploma at 19.1% compared to 9.5% in Loma linda.
- More residents in Beckley have less than a high school education at 13.5% compared to 13.1% in Loma linda.
- In Loma linda, a larger share of residents have a bachelor's degree or higher at 35.4% compared to 16.4% in Beckley.
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.