Demographics details for Bloomfield, KY vs Virginia beach, VA
Population Overview
Compare main population characteristics in Bloomfield, KY vs Virginia beach, VA.
| Data | Bloomfield | Virginia beach |
|---|---|---|
| Population | 970 | 455,618 |
| Median Age | 52.4 years | 37.1 years |
| Median Income | $44,922 | $87,544 |
| Married Families | 49.0% | 42.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 2.8 |
Population Comparison: Bloomfield vs Virginia beach
- The population in Virginia beach is higher at 455,618, compared to 970 in Bloomfield.
- Residents in Bloomfield have a higher median age of 52.4 years compared to 37.1 years in Virginia beach.
- Virginia beach has a higher median income of $87,544, compared to $44,922 in Bloomfield.
- A higher percentage of married families is found in Bloomfield at 49.0% compared to 42.0% in Virginia beach.
- The poverty level is identical in both Bloomfield and Virginia beach at 10%.
- The unemployment rate in Bloomfield is higher at 4.5%, compared to 2.8% in Virginia beach.
Demographics
Demographics Bloomfield vs Virginia beach provide insight into the diversity of the communities to compare.
| Demographic | Bloomfield | Virginia beach |
|---|---|---|
| Black | 2 | 19 |
| White | 94 | 56 |
| Asian | Data is updating | 7 |
| Hispanic | 1 | 9 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bloomfield vs Virginia beach
- In Virginia beach, the percentage of Black residents is higher at 19% compared to 2% in Bloomfield.
- Bloomfield has a higher percentage of White residents at 94% compared to 56% in Virginia beach.
- In Virginia beach, the Asian population stands at 7%, greater than 0% in Bloomfield.
- Virginia beach has a higher percentage of Hispanic residents at 9%, compared to 1% in Bloomfield.
- The percentage of residents identifying as two or more races is higher in Virginia beach at 9%, compared to 3% in Bloomfield.
- The percentage of American Indian residents is the same in both Bloomfield and Virginia beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bloomfield | Virginia beach |
|---|---|---|
| Mental Health Not Good | 19.3% | 14.5% |
| Physical Health Not Good | 14.0% | 9.3% |
| Depression | 27.4% | 20.4% |
| Smoking | 22.2% | 13.7% |
| Binge Drinking | 15.6% | 16.8% |
| Obesity | 38.5% | 31.5% |
| Disability Percentage | 29.0% | 11.0% |
Health Statistics Comparison: Bloomfield vs Virginia beach
- More residents in Bloomfield report poor mental health at 19.3% compared to 14.5% in Virginia beach.
- Depression is more prevalent in Bloomfield at 27.4% compared to 20.4% in Virginia beach.
- Smoking is more prevalent in Bloomfield at 22.2% compared to 13.7% in Virginia beach.
- More residents engage in binge drinking in Virginia beach at 16.8% compared to 15.6% in Bloomfield.
- Obesity rates are higher in Bloomfield at 38.5% compared to 31.5% in Virginia beach.
- Disability percentages are higher in Bloomfield at 29.0% compared to 11.0% in Virginia beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bloomfield | Virginia beach |
|---|---|---|
| No Schooling | 0.5% (5) | 0.6% (2,931) |
| High School Diploma | 19.7% (191) | 11.8% (53,968) |
| Less than High School | 14.2% (138) | 6.0% (27,564) |
| Bachelor's Degree and Higher | 19.3% (187) | 27.6% (125,790) |
Education Levels Comparison: Bloomfield vs Virginia beach
- In Virginia beach, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Bloomfield.
- A higher percentage of residents in Bloomfield hold a high school diploma at 19.7% compared to 11.8% in Virginia beach.
- More residents in Bloomfield have less than a high school education at 14.2% compared to 6.0% in Virginia beach.
- In Virginia beach, a larger share of residents have a bachelor's degree or higher at 27.6% compared to 19.3% in Bloomfield.
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.