Demographics details for Bedford, VA vs Marshall, CA
Population Overview
Compare main population characteristics in Bedford, VA vs Marshall, CA.
| Data | Bedford | Marshall |
|---|---|---|
| Population | 6,735 | 533 |
| Median Age | 40.5 years | 42.0 years |
| Median Income | $41,154 | $90,000 |
| Married Families | 32.0% | 60.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Bedford vs Marshall
- In Bedford, the population is higher at 6,735, compared to 533 in Marshall.
- The median age in Marshall is higher at 42.0 years, compared to 40.5 years in Bedford.
- Marshall has a higher median income of $90,000, compared to $41,154 in Bedford.
- In Marshall, the percentage of married families is higher at 60.0%, compared to 32.0% in Bedford.
- Bedford has a higher poverty level at 10% compared to 5% in Marshall.
- The unemployment rate in Bedford is higher at 3.5%, compared to 3.0% in Marshall.
Demographics
Demographics Bedford vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Bedford | Marshall |
|---|---|---|
| Black | 17 | Data is updating |
| White | 75 | 90 |
| Asian | 3 | 2 |
| Hispanic | 2 | 5 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bedford vs Marshall
- A higher percentage of Black residents are in Bedford at 17% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 90% compared to 75% in Bedford.
- The Asian population is larger in Bedford at 3% compared to 2% in Marshall.
- Marshall has a higher percentage of Hispanic residents at 5%, compared to 2% in Bedford.
- Both Bedford and Marshall have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Bedford and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bedford | Marshall |
|---|---|---|
| Mental Health Not Good | 19.9% | Data is updating% |
| Physical Health Not Good | 14.0% | Data is updating% |
| Depression | 25.4% | Data is updating% |
| Smoking | 21.9% | Data is updating% |
| Binge Drinking | 15.7% | Data is updating% |
| Obesity | 41.8% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Bedford vs Marshall
- More residents in Bedford report poor mental health at 19.9% compared to 0.0% in Marshall.
- Depression is more prevalent in Bedford at 25.4% compared to 0.0% in Marshall.
- Smoking is more prevalent in Bedford at 21.9% compared to 0.0% in Marshall.
- Binge drinking is more common in Bedford at 15.7% compared to 0.0% in Marshall.
- Obesity rates are higher in Bedford at 41.8% compared to 0.0% in Marshall.
- Disability percentages are higher in Bedford at 11.0% compared to 0.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bedford | Marshall |
|---|---|---|
| No Schooling | 1.3% (87) | 0.0% (Data is updating) |
| High School Diploma | 22.5% (1,518) | 0.0% (Data is updating) |
| Less than High School | 19.7% (1,324) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 13.5% (909) | 0.0% (Data is updating) |
Education Levels Comparison: Bedford vs Marshall
- A higher percentage of residents in Bedford have no formal schooling at 1.3% compared to 0.0% in Marshall.
- A higher percentage of residents in Bedford hold a high school diploma at 22.5% compared to 0.0% in Marshall.
- More residents in Bedford have less than a high school education at 19.7% compared to 0.0% in Marshall.
- A higher percentage of residents in Bedford hold a bachelor's degree or higher at 13.5% compared to 0.0% in Marshall.
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.