Demographics details for Kinston, NC vs Mililani, HI
Population Overview
Compare main population characteristics in Kinston, NC vs Mililani, HI.
Data | Kinston | Mililani |
---|---|---|
Population | 19,365 | 27,423 |
Median Age | 44.1 years | 45.3 years |
Median Income | $35,653 | $119,502 |
Married Families | 23.0% | 46.0% |
Poverty Level | 22% | 6% |
Unemployment Rate | 5.1 | 4.5 |
Population Comparison: Kinston vs Mililani
- The population in Mililani is higher at 27,423, compared to 19,365 in Kinston.
- The median age in Mililani is higher at 45.3 years, compared to 44.1 years in Kinston.
- Mililani has a higher median income of $119,502, compared to $35,653 in Kinston.
- In Mililani, the percentage of married families is higher at 46.0%, compared to 23.0% in Kinston.
- Kinston has a higher poverty level at 22% compared to 6% in Mililani.
- The unemployment rate in Kinston is higher at 5.1%, compared to 4.5% in Mililani.
Demographics
Demographics Kinston vs Mililani provide insight into the diversity of the communities to compare.
Demographic | Kinston | Mililani |
---|---|---|
Black | 70 | 2 |
White | 21 | 8 |
Asian | 1 | 47 |
Hispanic | 3 | 11 |
Two or More Races | 5 | 32 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kinston vs Mililani
- A higher percentage of Black residents are in Kinston at 70% compared to 2% in Mililani.
- Kinston has a higher percentage of White residents at 21% compared to 8% in Mililani.
- In Mililani, the Asian population stands at 47%, greater than 1% in Kinston.
- Mililani has a higher percentage of Hispanic residents at 11%, compared to 3% in Kinston.
- The percentage of residents identifying as two or more races is higher in Mililani at 32%, compared to 5% in Kinston.
- The percentage of American Indian residents is the same in both Kinston and Mililani at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kinston | Mililani |
---|---|---|
Mental Health Not Good | 19.2% | 12.5% |
Physical Health Not Good | 14.9% | 7.3% |
Depression | 22.8% | 12.0% |
Smoking | 24.2% | 10.0% |
Binge Drinking | 13.6% | 18.0% |
Obesity | 43.2% | 22.9% |
Disability Percentage | 31.0% | 13.0% |
Health Statistics Comparison: Kinston vs Mililani
- More residents in Kinston report poor mental health at 19.2% compared to 12.5% in Mililani.
- Depression is more prevalent in Kinston at 22.8% compared to 12.0% in Mililani.
- Smoking is more prevalent in Kinston at 24.2% compared to 10.0% in Mililani.
- More residents engage in binge drinking in Mililani at 18.0% compared to 13.6% in Kinston.
- Obesity rates are higher in Kinston at 43.2% compared to 22.9% in Mililani.
- Disability percentages are higher in Kinston at 31.0% compared to 13.0% in Mililani.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kinston | Mililani |
---|---|---|
No Schooling | 1.1% (211) | 0.5% (139) |
High School Diploma | 20.1% (3,883) | 14.6% (4,010) |
Less than High School | 16.6% (3,222) | 3.8% (1,049) |
Bachelor's Degree and Higher | 10.3% (2,004) | 30.5% (8,351) |
Education Levels Comparison: Kinston vs Mililani
- A higher percentage of residents in Kinston have no formal schooling at 1.1% compared to 0.5% in Mililani.
- A higher percentage of residents in Kinston hold a high school diploma at 20.1% compared to 14.6% in Mililani.
- More residents in Kinston have less than a high school education at 16.6% compared to 3.8% in Mililani.
- In Mililani, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 10.3% in Kinston.
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.