Demographics details for Beaver, UT vs Cornelius, NC
Population Overview
Compare main population characteristics in Beaver, UT vs Cornelius, NC.
Data | Beaver | Cornelius |
---|---|---|
Population | 7,327 | 32,294 |
Median Age | 33.8 years | 44.3 years |
Median Income | $80,268 | $107,969 |
Married Families | 48.0% | 48.0% |
Poverty Level | Data is updating | 4% |
Unemployment Rate | 3.9 | 3.2 |
Population Comparison: Beaver vs Cornelius
- The population in Cornelius is higher at 32,294, compared to 7,327 in Beaver.
- The median age in Cornelius is higher at 44.3 years, compared to 33.8 years in Beaver.
- Cornelius has a higher median income of $107,969, compared to $80,268 in Beaver.
- The percentage of married families is the same in both Beaver and Cornelius at 48.0%.
- The poverty level is higher in Cornelius at 4%, compared to 0% in Beaver.
- The unemployment rate in Beaver is higher at 3.9%, compared to 3.2% in Cornelius.
Demographics
Demographics Beaver vs Cornelius provide insight into the diversity of the communities to compare.
Demographic | Beaver | Cornelius |
---|---|---|
Black | Data is updating | 5 |
White | 82 | 81 |
Asian | Data is updating | 3 |
Hispanic | 13 | 6 |
Two or More Races | 4 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Beaver vs Cornelius
- In Cornelius, the percentage of Black residents is higher at 5% compared to 0% in Beaver.
- Beaver has a higher percentage of White residents at 82% compared to 81% in Cornelius.
- In Cornelius, the Asian population stands at 3%, greater than 0% in Beaver.
- The Hispanic community is larger in Beaver at 13% compared to 6% in Cornelius.
- The percentage of residents identifying as two or more races is higher in Cornelius at 5%, compared to 4% in Beaver.
- A greater percentage of American Indian residents live in Beaver at 1% compared to 0% in Cornelius.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Beaver | Cornelius |
---|---|---|
Mental Health Not Good | 16.2% | 13.3% |
Physical Health Not Good | 10.9% | 8.0% |
Depression | 22.8% | 21.6% |
Smoking | 10.7% | 10.6% |
Binge Drinking | 13.5% | 20.6% |
Obesity | 32.9% | 29.5% |
Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Beaver vs Cornelius
- More residents in Beaver report poor mental health at 16.2% compared to 13.3% in Cornelius.
- Depression is more prevalent in Beaver at 22.8% compared to 21.6% in Cornelius.
- Smoking is more prevalent in Beaver at 10.7% compared to 10.6% in Cornelius.
- More residents engage in binge drinking in Cornelius at 20.6% compared to 13.5% in Beaver.
- Obesity rates are higher in Beaver at 32.9% compared to 29.5% in Cornelius.
- Disability percentages are higher in Beaver 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 | Beaver | Cornelius |
---|---|---|
No Schooling | 0.1% (5) | 0.7% (220) |
High School Diploma | 14.7% (1,075) | 6.7% (2,153) |
Less than High School | 8.1% (592) | 3.5% (1,130) |
Bachelor's Degree and Higher | 15.9% (1,168) | 40.9% (13,215) |
Education Levels Comparison: Beaver vs Cornelius
- In Cornelius, a larger percentage of residents lack formal schooling at 0.7% compared to 0.1% in Beaver.
- A higher percentage of residents in Beaver hold a high school diploma at 14.7% compared to 6.7% in Cornelius.
- More residents in Beaver have less than a high school education at 8.1% 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 15.9% in Beaver.
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.