Demographics details for Bucklin, MO vs Cornelius, NC
Population Overview
Compare main population characteristics in Bucklin, MO vs Cornelius, NC.
| Data | Bucklin | Cornelius |
|---|---|---|
| Population | 408 | 32,294 |
| Median Age | 41.9 years | 44.3 years |
| Median Income | $39,813 | $107,969 |
| Married Families | 46.0% | 48.0% |
| Poverty Level | 10% | 4% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Bucklin vs Cornelius
- The population in Cornelius is higher at 32,294, compared to 408 in Bucklin.
- The median age in Cornelius is higher at 44.3 years, compared to 41.9 years in Bucklin.
- Cornelius has a higher median income of $107,969, compared to $39,813 in Bucklin.
- In Cornelius, the percentage of married families is higher at 48.0%, compared to 46.0% in Bucklin.
- Bucklin has a higher poverty level at 10% compared to 4% in Cornelius.
- The unemployment rate in Bucklin is higher at 3.5%, compared to 3.2% in Cornelius.
Demographics
Demographics Bucklin vs Cornelius provide insight into the diversity of the communities to compare.
| Demographic | Bucklin | Cornelius |
|---|---|---|
| Black | Data is updating | 5 |
| White | 93 | 81 |
| Asian | Data is updating | 3 |
| Hispanic | 3 | 6 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bucklin vs Cornelius
- In Cornelius, the percentage of Black residents is higher at 5% compared to 0% in Bucklin.
- Bucklin has a higher percentage of White residents at 93% compared to 81% in Cornelius.
- In Cornelius, the Asian population stands at 3%, greater than 0% in Bucklin.
- Cornelius has a higher percentage of Hispanic residents at 6%, compared to 3% in Bucklin.
- The percentage of residents identifying as two or more races is higher in Cornelius at 5%, compared to 4% in Bucklin.
- The percentage of American Indian residents is the same in both Bucklin and Cornelius at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bucklin | Cornelius |
|---|---|---|
| Mental Health Not Good | 16.8% | 13.3% |
| Physical Health Not Good | 11.4% | 8.0% |
| Depression | 24.6% | 21.6% |
| Smoking | 19.3% | 10.6% |
| Binge Drinking | 18.1% | 20.6% |
| Obesity | 36.2% | 29.5% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Bucklin vs Cornelius
- More residents in Bucklin report poor mental health at 16.8% compared to 13.3% in Cornelius.
- Depression is more prevalent in Bucklin at 24.6% compared to 21.6% in Cornelius.
- Smoking is more prevalent in Bucklin at 19.3% compared to 10.6% in Cornelius.
- More residents engage in binge drinking in Cornelius at 20.6% compared to 18.1% in Bucklin.
- Obesity rates are higher in Bucklin at 36.2% compared to 29.5% in Cornelius.
- Disability percentages are higher in Bucklin at 12.0% 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 | Bucklin | Cornelius |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (220) |
| High School Diploma | 29.2% (119) | 6.7% (2,153) |
| Less than High School | 10.8% (44) | 3.5% (1,130) |
| Bachelor's Degree and Higher | 15.0% (61) | 40.9% (13,215) |
Education Levels Comparison: Bucklin vs Cornelius
- In Cornelius, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Bucklin.
- A higher percentage of residents in Bucklin hold a high school diploma at 29.2% compared to 6.7% in Cornelius.
- More residents in Bucklin have less than a high school education at 10.8% compared to 3.5% in Cornelius.
- In Cornelius, a larger share of residents have a bachelor's degree or higher at 40.9% compared to 15.0% in Bucklin.
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.