Demographics details for Bedford, VA vs Kosciusko, MS
Population Overview
Compare main population characteristics in Bedford, VA vs Kosciusko, MS.
Data | Bedford | Kosciusko |
---|---|---|
Population | 6,735 | 6,922 |
Median Age | 40.5 years | 36.2 years |
Median Income | $41,154 | $33,719 |
Married Families | 32.0% | 25.0% |
Poverty Level | 10% | 22% |
Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Bedford vs Kosciusko
- The population in Kosciusko is higher at 6,922, compared to 6,735 in Bedford.
- Residents in Bedford have a higher median age of 40.5 years compared to 36.2 years in Kosciusko.
- Bedford has a higher median income of $41,154 compared to $33,719 in Kosciusko.
- A higher percentage of married families is found in Bedford at 32.0% compared to 25.0% in Kosciusko.
- The poverty level is higher in Kosciusko at 22%, compared to 10% in Bedford.
- Kosciusko has a higher unemployment rate at 6.5% compared to 3.5% in Bedford.
Demographics
Demographics Bedford vs Kosciusko provide insight into the diversity of the communities to compare.
Demographic | Bedford | Kosciusko |
---|---|---|
Black | 17 | 53 |
White | 75 | 42 |
Asian | 3 | Data is updating |
Hispanic | 2 | 2 |
Two or More Races | 3 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bedford vs Kosciusko
- In Kosciusko, the percentage of Black residents is higher at 53% compared to 17% in Bedford.
- Bedford has a higher percentage of White residents at 75% compared to 42% in Kosciusko.
- The Asian population is larger in Bedford at 3% compared to 0% in Kosciusko.
- The percentage of Hispanic residents is the same in both Bedford and Kosciusko at 2%.
- Both Bedford and Kosciusko 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 Kosciusko at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bedford | Kosciusko |
---|---|---|
Mental Health Not Good | 19.9% | 19.8% |
Physical Health Not Good | 14.0% | 16.2% |
Depression | 25.4% | 22.8% |
Smoking | 21.9% | 26.1% |
Binge Drinking | 15.7% | 11.3% |
Obesity | 41.8% | 46.0% |
Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Bedford vs Kosciusko
- More residents in Bedford report poor mental health at 19.9% compared to 19.8% in Kosciusko.
- Depression is more prevalent in Bedford at 25.4% compared to 22.8% in Kosciusko.
- Kosciusko has a higher smoking rate at 26.1% compared to 21.9% in Bedford.
- Binge drinking is more common in Bedford at 15.7% compared to 11.3% in Kosciusko.
- Kosciusko has higher obesity rates at 46.0% compared to 41.8% in Bedford.
- There is a higher percentage of disabled individuals in Kosciusko at 18.0% 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 | Bedford | Kosciusko |
---|---|---|
No Schooling | 1.3% (87) | 0.6% (39) |
High School Diploma | 22.5% (1,518) | 18.4% (1,276) |
Less than High School | 19.7% (1,324) | 9.0% (624) |
Bachelor's Degree and Higher | 13.5% (909) | 12.8% (886) |
Education Levels Comparison: Bedford vs Kosciusko
- A higher percentage of residents in Bedford have no formal schooling at 1.3% compared to 0.6% in Kosciusko.
- A higher percentage of residents in Bedford hold a high school diploma at 22.5% compared to 18.4% in Kosciusko.
- More residents in Bedford have less than a high school education at 19.7% compared to 9.0% in Kosciusko.
- A higher percentage of residents in Bedford hold a bachelor's degree or higher at 13.5% compared to 12.8% in Kosciusko.
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.