Demographics details for Holly springs, NC vs Oxford, AL
Population Overview
Compare main population characteristics in Holly springs, NC vs Oxford, AL.
Data | Holly springs | Oxford |
---|---|---|
Population | 45,945 | 22,002 |
Median Age | 35.7 years | 37.4 years |
Median Income | $127,755 | $66,031 |
Married Families | 43.0% | 37.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Holly springs vs Oxford
- In Holly springs, the population is higher at 45,945, compared to 22,002 in Oxford.
- The median age in Oxford is higher at 37.4 years, compared to 35.7 years in Holly springs.
- Holly springs has a higher median income of $127,755 compared to $66,031 in Oxford.
- A higher percentage of married families is found in Holly springs at 43.0% compared to 37.0% in Oxford.
- The poverty level is higher in Oxford at 10%, compared to 5% in Holly springs.
- Oxford has a higher unemployment rate at 3.5% compared to 3.4% in Holly springs.
Demographics
Demographics Holly springs vs Oxford provide insight into the diversity of the communities to compare.
Demographic | Holly springs | Oxford |
---|---|---|
Black | 9 | 16 |
White | 73 | 73 |
Asian | 6 | 1 |
Hispanic | 6 | 7 |
Two or More Races | 6 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Holly springs vs Oxford
- In Oxford, the percentage of Black residents is higher at 16% compared to 9% in Holly springs.
- The percentage of White residents is the same in both Holly springs and Oxford at 73%.
- The Asian population is larger in Holly springs at 6% compared to 1% in Oxford.
- Oxford has a higher percentage of Hispanic residents at 7%, compared to 6% in Holly springs.
- More residents identify as two or more races in Holly springs at 6% compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Holly springs and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Holly springs | Oxford |
---|---|---|
Mental Health Not Good | 12.2% | 18.8% |
Physical Health Not Good | 7.7% | 13.2% |
Depression | 19.4% | 23.8% |
Smoking | 9.7% | 19.8% |
Binge Drinking | 20.9% | 15.1% |
Obesity | 30.4% | 37.4% |
Disability Percentage | 4.0% | 19.0% |
Health Statistics Comparison: Holly springs vs Oxford
- In Oxford, a higher percentage report poor mental health at 18.8% compared to 12.2% in Holly springs.
- Higher depression rates are seen in Oxford at 23.8% versus 19.4% in Holly springs.
- Oxford has a higher smoking rate at 19.8% compared to 9.7% in Holly springs.
- Binge drinking is more common in Holly springs at 20.9% compared to 15.1% in Oxford.
- Oxford has higher obesity rates at 37.4% compared to 30.4% in Holly springs.
- There is a higher percentage of disabled individuals in Oxford at 19.0% compared to 4.0% in Holly springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Holly springs | Oxford |
---|---|---|
No Schooling | 0.5% (232) | 1.4% (306) |
High School Diploma | 4.2% (1,945) | 16.1% (3,534) |
Less than High School | 4.3% (1,965) | 17.9% (3,933) |
Bachelor's Degree and Higher | 36.1% (16,598) | 16.5% (3,625) |
Education Levels Comparison: Holly springs vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Holly springs.
- In Oxford, the rate of residents with high school diplomas is higher at 16.1% compared to 4.2% in Holly springs.
- The percentage of residents with less than a high school education is higher in Oxford at 17.9%, compared to 4.3% in Holly springs.
- A higher percentage of residents in Holly springs hold a bachelor's degree or higher at 36.1% compared to 16.5% in Oxford.
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.