Demographics details for Bucklin, MO vs Bedford, VA
Population Overview
Compare main population characteristics in Bucklin, MO vs Bedford, VA.
| Data | Bucklin | Bedford |
|---|---|---|
| Population | 408 | 6,735 |
| Median Age | 41.9 years | 40.5 years |
| Median Income | $39,813 | $41,154 |
| Married Families | 46.0% | 32.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Bucklin vs Bedford
- The population in Bedford is higher at 6,735, compared to 408 in Bucklin.
- Residents in Bucklin have a higher median age of 41.9 years compared to 40.5 years in Bedford.
- Bedford has a higher median income of $41,154, compared to $39,813 in Bucklin.
- A higher percentage of married families is found in Bucklin at 46.0% compared to 32.0% in Bedford.
- The poverty level is identical in both Bucklin and Bedford at 10%.
- The unemployment rate is the same in both Bucklin and Bedford at 3.5%.
Demographics
Demographics Bucklin vs Bedford provide insight into the diversity of the communities to compare.
| Demographic | Bucklin | Bedford |
|---|---|---|
| Black | Data is updating | 17 |
| White | 93 | 75 |
| Asian | Data is updating | 3 |
| Hispanic | 3 | 2 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bucklin vs Bedford
- In Bedford, the percentage of Black residents is higher at 17% compared to 0% in Bucklin.
- Bucklin has a higher percentage of White residents at 93% compared to 75% in Bedford.
- In Bedford, the Asian population stands at 3%, greater than 0% in Bucklin.
- The Hispanic community is larger in Bucklin at 3% compared to 2% in Bedford.
- More residents identify as two or more races in Bucklin at 4% compared to 3% in Bedford.
- The percentage of American Indian residents is the same in both Bucklin and Bedford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bucklin | Bedford |
|---|---|---|
| Mental Health Not Good | 16.8% | 19.9% |
| Physical Health Not Good | 11.4% | 14.0% |
| Depression | 24.6% | 25.4% |
| Smoking | 19.3% | 21.9% |
| Binge Drinking | 18.1% | 15.7% |
| Obesity | 36.2% | 41.8% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Bucklin vs Bedford
- In Bedford, a higher percentage report poor mental health at 19.9% compared to 16.8% in Bucklin.
- Higher depression rates are seen in Bedford at 25.4% versus 24.6% in Bucklin.
- Bedford has a higher smoking rate at 21.9% compared to 19.3% in Bucklin.
- Binge drinking is more common in Bucklin at 18.1% compared to 15.7% in Bedford.
- Bedford has higher obesity rates at 41.8% compared to 36.2% in Bucklin.
- Disability percentages are higher in Bucklin at 12.0% compared to 11.0% in Bedford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bucklin | Bedford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.3% (87) |
| High School Diploma | 29.2% (119) | 22.5% (1,518) |
| Less than High School | 10.8% (44) | 19.7% (1,324) |
| Bachelor's Degree and Higher | 15.0% (61) | 13.5% (909) |
Education Levels Comparison: Bucklin vs Bedford
- In Bedford, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Bucklin.
- A higher percentage of residents in Bucklin hold a high school diploma at 29.2% compared to 22.5% in Bedford.
- The percentage of residents with less than a high school education is higher in Bedford at 19.7%, compared to 10.8% in Bucklin.
- A higher percentage of residents in Bucklin hold a bachelor's degree or higher at 15.0% compared to 13.5% in Bedford.
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.