Demographics details for Mckinney, TX vs Virginia beach, VA
Population Overview
Compare main population characteristics in Mckinney, TX vs Virginia beach, VA.
Data | Mckinney | Virginia beach |
---|---|---|
Population | 207,507 | 455,618 |
Median Age | 36.9 years | 37.1 years |
Median Income | $113,286 | $87,544 |
Married Families | 43.0% | 42.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 4.4 | 2.8 |
Population Comparison: Mckinney vs Virginia beach
- The population in Virginia beach is higher at 455,618, compared to 207,507 in Mckinney.
- The median age in Virginia beach is higher at 37.1 years, compared to 36.9 years in Mckinney.
- Mckinney has a higher median income of $113,286 compared to $87,544 in Virginia beach.
- A higher percentage of married families is found in Mckinney at 43.0% compared to 42.0% in Virginia beach.
- The poverty level is higher in Virginia beach at 10%, compared to 9% in Mckinney.
- The unemployment rate in Mckinney is higher at 4.4%, compared to 2.8% in Virginia beach.
Demographics
Demographics Mckinney vs Virginia beach provide insight into the diversity of the communities to compare.
Demographic | Mckinney | Virginia beach |
---|---|---|
Black | 11 | 19 |
White | 52 | 56 |
Asian | 11 | 7 |
Hispanic | 16 | 9 |
Two or More Races | 9 | 9 |
American Indian | 1 | Data is updating |
Demographics Comparison: Mckinney vs Virginia beach
- In Virginia beach, the percentage of Black residents is higher at 19% compared to 11% in Mckinney.
- The percentage of White residents is higher in Virginia beach at 56% compared to 52% in Mckinney.
- The Asian population is larger in Mckinney at 11% compared to 7% in Virginia beach.
- The Hispanic community is larger in Mckinney at 16% compared to 9% in Virginia beach.
- Both Mckinney and Virginia beach have the same percentage of residents identifying as two or more races at 9%.
- A greater percentage of American Indian residents live in Mckinney at 1% compared to 0% in Virginia beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mckinney | Virginia beach |
---|---|---|
Mental Health Not Good | 15.0% | 14.5% |
Physical Health Not Good | 9.7% | 9.3% |
Depression | 22.1% | 20.4% |
Smoking | 12.2% | 13.7% |
Binge Drinking | 18.0% | 16.8% |
Obesity | 29.3% | 31.5% |
Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Mckinney vs Virginia beach
- More residents in Mckinney report poor mental health at 15.0% compared to 14.5% in Virginia beach.
- Depression is more prevalent in Mckinney at 22.1% compared to 20.4% in Virginia beach.
- Virginia beach has a higher smoking rate at 13.7% compared to 12.2% in Mckinney.
- Binge drinking is more common in Mckinney at 18.0% compared to 16.8% in Virginia beach.
- Virginia beach has higher obesity rates at 31.5% compared to 29.3% in Mckinney.
- There is a higher percentage of disabled individuals in Virginia beach at 11.0% compared to 6.0% in Mckinney.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mckinney | Virginia beach |
---|---|---|
No Schooling | 0.4% (916) | 0.6% (2,931) |
High School Diploma | 8.2% (16,929) | 11.8% (53,968) |
Less than High School | 5.5% (11,513) | 6.0% (27,564) |
Bachelor's Degree and Higher | 31.6% (65,610) | 27.6% (125,790) |
Education Levels Comparison: Mckinney vs Virginia beach
- In Virginia beach, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Mckinney.
- In Virginia beach, the rate of residents with high school diplomas is higher at 11.8% compared to 8.2% in Mckinney.
- The percentage of residents with less than a high school education is higher in Virginia beach at 6.0%, compared to 5.5% in Mckinney.
- A higher percentage of residents in Mckinney hold a bachelor's degree or higher at 31.6% compared to 27.6% in Virginia beach.
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.