Demographics details for Cornelius, NC vs Shirley, NY
Population Overview
Compare main population characteristics in Cornelius, NC vs Shirley, NY.
| Data | Cornelius | Shirley |
|---|---|---|
| Population | 32,294 | 26,498 |
| Median Age | 44.3 years | 40.4 years |
| Median Income | $107,969 | $109,821 |
| Married Families | 48.0% | 37.0% |
| Poverty Level | 4% | 6% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Cornelius vs Shirley
- In Cornelius, the population is higher at 32,294, compared to 26,498 in Shirley.
- Residents in Cornelius have a higher median age of 44.3 years compared to 40.4 years in Shirley.
- Shirley has a higher median income of $109,821, compared to $107,969 in Cornelius.
- A higher percentage of married families is found in Cornelius at 48.0% compared to 37.0% in Shirley.
- The poverty level is higher in Shirley at 6%, compared to 4% in Cornelius.
- Shirley has a higher unemployment rate at 4.2% compared to 3.2% in Cornelius.
Demographics
Demographics Cornelius vs Shirley provide insight into the diversity of the communities to compare.
| Demographic | Cornelius | Shirley |
|---|---|---|
| Black | 5 | 8 |
| White | 81 | 56 |
| Asian | 3 | 5 |
| Hispanic | 6 | 23 |
| Two or More Races | 5 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cornelius vs Shirley
- In Shirley, the percentage of Black residents is higher at 8% compared to 5% in Cornelius.
- Cornelius has a higher percentage of White residents at 81% compared to 56% in Shirley.
- In Shirley, the Asian population stands at 5%, greater than 3% in Cornelius.
- Shirley has a higher percentage of Hispanic residents at 23%, compared to 6% in Cornelius.
- The percentage of residents identifying as two or more races is higher in Shirley at 8%, compared to 5% in Cornelius.
- The percentage of American Indian residents is the same in both Cornelius and Shirley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cornelius | Shirley |
|---|---|---|
| Mental Health Not Good | 13.3% | 16.3% |
| Physical Health Not Good | 8.0% | 10.7% |
| Depression | 21.6% | 21.1% |
| Smoking | 10.6% | 17.0% |
| Binge Drinking | 20.6% | 16.0% |
| Obesity | 29.5% | 32.0% |
| Disability Percentage | 7.0% | 10.0% |
Health Statistics Comparison: Cornelius vs Shirley
- In Shirley, a higher percentage report poor mental health at 16.3% compared to 13.3% in Cornelius.
- Depression is more prevalent in Cornelius at 21.6% compared to 21.1% in Shirley.
- Shirley has a higher smoking rate at 17.0% compared to 10.6% in Cornelius.
- Binge drinking is more common in Cornelius at 20.6% compared to 16.0% in Shirley.
- Shirley has higher obesity rates at 32.0% compared to 29.5% in Cornelius.
- There is a higher percentage of disabled individuals in Shirley at 10.0% 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 | Shirley |
|---|---|---|
| No Schooling | 0.7% (220) | 2.1% (555) |
| High School Diploma | 6.7% (2,153) | 22.2% (5,874) |
| Less than High School | 3.5% (1,130) | 13.4% (3,542) |
| Bachelor's Degree and Higher | 40.9% (13,215) | 13.4% (3,547) |
Education Levels Comparison: Cornelius vs Shirley
- In Shirley, a larger percentage of residents lack formal schooling at 2.1% compared to 0.7% in Cornelius.
- In Shirley, the rate of residents with high school diplomas is higher at 22.2% compared to 6.7% in Cornelius.
- The percentage of residents with less than a high school education is higher in Shirley at 13.4%, compared to 3.5% in Cornelius.
- A higher percentage of residents in Cornelius hold a bachelor's degree or higher at 40.9% compared to 13.4% in Shirley.
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.