Demographics details for Mckinney, TX vs Sanford, NC
Population Overview
Compare main population characteristics in Mckinney, TX vs Sanford, NC.
Data | Mckinney | Sanford |
---|---|---|
Population | 207,507 | 31,224 |
Median Age | 36.9 years | 34.6 years |
Median Income | $113,286 | $52,951 |
Married Families | 43.0% | 32.0% |
Poverty Level | 9% | 13% |
Unemployment Rate | 4.4 | 4.8 |
Population Comparison: Mckinney vs Sanford
- In Mckinney, the population is higher at 207,507, compared to 31,224 in Sanford.
- Residents in Mckinney have a higher median age of 36.9 years compared to 34.6 years in Sanford.
- Mckinney has a higher median income of $113,286 compared to $52,951 in Sanford.
- A higher percentage of married families is found in Mckinney at 43.0% compared to 32.0% in Sanford.
- The poverty level is higher in Sanford at 13%, compared to 9% in Mckinney.
- Sanford has a higher unemployment rate at 4.8% compared to 4.4% in Mckinney.
Demographics
Demographics Mckinney vs Sanford provide insight into the diversity of the communities to compare.
Demographic | Mckinney | Sanford |
---|---|---|
Black | 11 | 25 |
White | 52 | 34 |
Asian | 11 | 2 |
Hispanic | 16 | 29 |
Two or More Races | 9 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Mckinney vs Sanford
- In Sanford, the percentage of Black residents is higher at 25% compared to 11% in Mckinney.
- Mckinney has a higher percentage of White residents at 52% compared to 34% in Sanford.
- The Asian population is larger in Mckinney at 11% compared to 2% in Sanford.
- Sanford has a higher percentage of Hispanic residents at 29%, compared to 16% in Mckinney.
- The percentage of residents identifying as two or more races is higher in Sanford at 10%, compared to 9% in Mckinney.
- A greater percentage of American Indian residents live in Mckinney at 1% compared to 0% in Sanford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mckinney | Sanford |
---|---|---|
Mental Health Not Good | 15.0% | 17.4% |
Physical Health Not Good | 9.7% | 13.2% |
Depression | 22.1% | 23.2% |
Smoking | 12.2% | 18.8% |
Binge Drinking | 18.0% | 15.3% |
Obesity | 29.3% | 41.1% |
Disability Percentage | 6.0% | 14.0% |
Health Statistics Comparison: Mckinney vs Sanford
- In Sanford, a higher percentage report poor mental health at 17.4% compared to 15.0% in Mckinney.
- Higher depression rates are seen in Sanford at 23.2% versus 22.1% in Mckinney.
- Sanford has a higher smoking rate at 18.8% compared to 12.2% in Mckinney.
- Binge drinking is more common in Mckinney at 18.0% compared to 15.3% in Sanford.
- Sanford has higher obesity rates at 41.1% compared to 29.3% in Mckinney.
- There is a higher percentage of disabled individuals in Sanford at 14.0% 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 | Sanford |
---|---|---|
No Schooling | 0.4% (916) | 1.4% (443) |
High School Diploma | 8.2% (16,929) | 12.5% (3,909) |
Less than High School | 5.5% (11,513) | 22.6% (7,052) |
Bachelor's Degree and Higher | 31.6% (65,610) | 12.9% (4,025) |
Education Levels Comparison: Mckinney vs Sanford
- In Sanford, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Mckinney.
- In Sanford, the rate of residents with high school diplomas is higher at 12.5% compared to 8.2% in Mckinney.
- The percentage of residents with less than a high school education is higher in Sanford at 22.6%, 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 12.9% in Sanford.
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.