Demographics details for Cornelius, NC vs Kingman, AZ
Population Overview
Compare main population characteristics in Cornelius, NC vs Kingman, AZ.
| Data | Cornelius | Kingman |
|---|---|---|
| Population | 32,294 | 34,918 |
| Median Age | 44.3 years | 42.1 years |
| Median Income | $107,969 | $56,360 |
| Married Families | 48.0% | 37.0% |
| Poverty Level | 4% | 12% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Cornelius vs Kingman
- The population in Kingman is higher at 34,918, compared to 32,294 in Cornelius.
- Residents in Cornelius have a higher median age of 44.3 years compared to 42.1 years in Kingman.
- Cornelius has a higher median income of $107,969 compared to $56,360 in Kingman.
- A higher percentage of married families is found in Cornelius at 48.0% compared to 37.0% in Kingman.
- The poverty level is higher in Kingman at 12%, compared to 4% in Cornelius.
- Kingman has a higher unemployment rate at 4.2% compared to 3.2% in Cornelius.
Demographics
Demographics Cornelius vs Kingman provide insight into the diversity of the communities to compare.
| Demographic | Cornelius | Kingman |
|---|---|---|
| Black | 5 | 2 |
| White | 81 | 72 |
| Asian | 3 | 2 |
| Hispanic | 6 | 16 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cornelius vs Kingman
- A higher percentage of Black residents are in Cornelius at 5% compared to 2% in Kingman.
- Cornelius has a higher percentage of White residents at 81% compared to 72% in Kingman.
- The Asian population is larger in Cornelius at 3% compared to 2% in Kingman.
- Kingman has a higher percentage of Hispanic residents at 16%, compared to 6% in Cornelius.
- The percentage of residents identifying as two or more races is higher in Kingman at 7%, compared to 5% in Cornelius.
- In Kingman, the percentage of American Indian residents is higher at 1%, compared to 0% in Cornelius.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cornelius | Kingman |
|---|---|---|
| Mental Health Not Good | 13.3% | 18.2% |
| Physical Health Not Good | 8.0% | 12.4% |
| Depression | 21.6% | 21.2% |
| Smoking | 10.6% | 19.1% |
| Binge Drinking | 20.6% | 18.5% |
| Obesity | 29.5% | 34.5% |
| Disability Percentage | 7.0% | 18.0% |
Health Statistics Comparison: Cornelius vs Kingman
- In Kingman, a higher percentage report poor mental health at 18.2% compared to 13.3% in Cornelius.
- Depression is more prevalent in Cornelius at 21.6% compared to 21.2% in Kingman.
- Kingman has a higher smoking rate at 19.1% compared to 10.6% in Cornelius.
- Binge drinking is more common in Cornelius at 20.6% compared to 18.5% in Kingman.
- Kingman has higher obesity rates at 34.5% compared to 29.5% in Cornelius.
- There is a higher percentage of disabled individuals in Kingman at 18.0% 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 | Kingman |
|---|---|---|
| No Schooling | 0.7% (220) | 0.8% (266) |
| High School Diploma | 6.7% (2,153) | 15.7% (5,487) |
| Less than High School | 3.5% (1,130) | 13.6% (4,744) |
| Bachelor's Degree and Higher | 40.9% (13,215) | 13.7% (4,777) |
Education Levels Comparison: Cornelius vs Kingman
- In Kingman, a larger percentage of residents lack formal schooling at 0.8% compared to 0.7% in Cornelius.
- In Kingman, the rate of residents with high school diplomas is higher at 15.7% compared to 6.7% in Cornelius.
- The percentage of residents with less than a high school education is higher in Kingman at 13.6%, 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 13.7% in Kingman.
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.