Demographics details for Cornelius, NC vs Boyle, MS
Population Overview
Compare main population characteristics in Cornelius, NC vs Boyle, MS.
Data | Cornelius | Boyle |
---|---|---|
Population | 32,294 | 499 |
Median Age | 44.3 years | 36.7 years |
Median Income | $107,969 | $33,750 |
Married Families | 48.0% | 25.0% |
Poverty Level | 4% | 20% |
Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Cornelius vs Boyle
- In Cornelius, the population is higher at 32,294, compared to 499 in Boyle.
- Residents in Cornelius have a higher median age of 44.3 years compared to 36.7 years in Boyle.
- Cornelius has a higher median income of $107,969 compared to $33,750 in Boyle.
- A higher percentage of married families is found in Cornelius at 48.0% compared to 25.0% in Boyle.
- The poverty level is higher in Boyle at 20%, compared to 4% in Cornelius.
- Boyle has a higher unemployment rate at 4.5% compared to 3.2% in Cornelius.
Demographics
Demographics Cornelius vs Boyle provide insight into the diversity of the communities to compare.
Demographic | Cornelius | Boyle |
---|---|---|
Black | 5 | 50 |
White | 81 | 50 |
Asian | 3 | Data is updating |
Hispanic | 6 | Data is updating |
Two or More Races | 5 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cornelius vs Boyle
- In Boyle, the percentage of Black residents is higher at 50% compared to 5% in Cornelius.
- Cornelius has a higher percentage of White residents at 81% compared to 50% in Boyle.
- The Asian population is larger in Cornelius at 3% compared to 0% in Boyle.
- The Hispanic community is larger in Cornelius at 6% compared to 0% in Boyle.
- More residents identify as two or more races in Cornelius at 5% compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Cornelius and Boyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cornelius | Boyle |
---|---|---|
Mental Health Not Good | 13.3% | 17.4% |
Physical Health Not Good | 8.0% | 13.3% |
Depression | 21.6% | 20.4% |
Smoking | 10.6% | 20.5% |
Binge Drinking | 20.6% | 13.0% |
Obesity | 29.5% | 41.3% |
Disability Percentage | 7.0% | 48.0% |
Health Statistics Comparison: Cornelius vs Boyle
- In Boyle, a higher percentage report poor mental health at 17.4% compared to 13.3% in Cornelius.
- Depression is more prevalent in Cornelius at 21.6% compared to 20.4% in Boyle.
- Boyle has a higher smoking rate at 20.5% compared to 10.6% in Cornelius.
- Binge drinking is more common in Cornelius at 20.6% compared to 13.0% in Boyle.
- Boyle has higher obesity rates at 41.3% compared to 29.5% in Cornelius.
- There is a higher percentage of disabled individuals in Boyle at 48.0% compared to 7.0% in Cornelius.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cornelius | Boyle |
---|---|---|
No Schooling | 0.7% (220) | 0.0% (Data is updating) |
High School Diploma | 6.7% (2,153) | 16.2% (81) |
Less than High School | 3.5% (1,130) | 17.0% (85) |
Bachelor's Degree and Higher | 40.9% (13,215) | 41.7% (208) |
Education Levels Comparison: Cornelius vs Boyle
- A higher percentage of residents in Cornelius have no formal schooling at 0.7% compared to 0.0% in Boyle.
- In Boyle, the rate of residents with high school diplomas is higher at 16.2% compared to 6.7% in Cornelius.
- The percentage of residents with less than a high school education is higher in Boyle at 17.0%, compared to 3.5% in Cornelius.
- In Boyle, a larger share of residents have a bachelor's degree or higher at 41.7% compared to 40.9% in Cornelius.
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.