Demographics details for Bedford, VA vs Shirley, NY
Population Overview
Compare main population characteristics in Bedford, VA vs Shirley, NY.
Data | Bedford | Shirley |
---|---|---|
Population | 6,735 | 26,498 |
Median Age | 40.5 years | 40.4 years |
Median Income | $41,154 | $109,821 |
Married Families | 32.0% | 37.0% |
Poverty Level | 10% | 6% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Bedford vs Shirley
- The population in Shirley is higher at 26,498, compared to 6,735 in Bedford.
- Residents in Bedford have a higher median age of 40.5 years compared to 40.4 years in Shirley.
- Shirley has a higher median income of $109,821, compared to $41,154 in Bedford.
- In Shirley, the percentage of married families is higher at 37.0%, compared to 32.0% in Bedford.
- Bedford has a higher poverty level at 10% compared to 6% in Shirley.
- Shirley has a higher unemployment rate at 4.2% compared to 3.5% in Bedford.
Demographics
Demographics Bedford vs Shirley provide insight into the diversity of the communities to compare.
Demographic | Bedford | Shirley |
---|---|---|
Black | 17 | 8 |
White | 75 | 56 |
Asian | 3 | 5 |
Hispanic | 2 | 23 |
Two or More Races | 3 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bedford vs Shirley
- A higher percentage of Black residents are in Bedford at 17% compared to 8% in Shirley.
- Bedford has a higher percentage of White residents at 75% compared to 56% in Shirley.
- In Shirley, the Asian population stands at 5%, greater than 3% in Bedford.
- Shirley has a higher percentage of Hispanic residents at 23%, compared to 2% in Bedford.
- The percentage of residents identifying as two or more races is higher in Shirley at 8%, compared to 3% in Bedford.
- The percentage of American Indian residents is the same in both Bedford and Shirley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bedford | Shirley |
---|---|---|
Mental Health Not Good | 19.9% | 16.3% |
Physical Health Not Good | 14.0% | 10.7% |
Depression | 25.4% | 21.1% |
Smoking | 21.9% | 17.0% |
Binge Drinking | 15.7% | 16.0% |
Obesity | 41.8% | 32.0% |
Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Bedford vs Shirley
- More residents in Bedford report poor mental health at 19.9% compared to 16.3% in Shirley.
- Depression is more prevalent in Bedford at 25.4% compared to 21.1% in Shirley.
- Smoking is more prevalent in Bedford at 21.9% compared to 17.0% in Shirley.
- More residents engage in binge drinking in Shirley at 16.0% compared to 15.7% in Bedford.
- Obesity rates are higher in Bedford at 41.8% compared to 32.0% in Shirley.
- Disability percentages are higher in Bedford at 11.0% compared to 10.0% in Shirley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bedford | Shirley |
---|---|---|
No Schooling | 1.3% (87) | 2.1% (555) |
High School Diploma | 22.5% (1,518) | 22.2% (5,874) |
Less than High School | 19.7% (1,324) | 13.4% (3,542) |
Bachelor's Degree and Higher | 13.5% (909) | 13.4% (3,547) |
Education Levels Comparison: Bedford vs Shirley
- In Shirley, a larger percentage of residents lack formal schooling at 2.1% compared to 1.3% in Bedford.
- A higher percentage of residents in Bedford hold a high school diploma at 22.5% compared to 22.2% in Shirley.
- More residents in Bedford have less than a high school education at 19.7% compared to 13.4% in Shirley.
- A higher percentage of residents in Bedford hold a bachelor's degree or higher at 13.5% compared to 13.4% in Shirley.
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.