Demographics details for Waipahu, HI vs Dixon, MO
Population Overview
Compare main population characteristics in Waipahu, HI vs Dixon, MO.
Data | Waipahu | Dixon |
---|---|---|
Population | 39,873 | 1,219 |
Median Age | 39.6 years | 32.3 years |
Median Income | $87,961 | $45,900 |
Married Families | 38.0% | 25.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.6 | 3.5 |
Population Comparison: Waipahu vs Dixon
- In Waipahu, the population is higher at 39,873, compared to 1,219 in Dixon.
- Residents in Waipahu have a higher median age of 39.6 years compared to 32.3 years in Dixon.
- Waipahu has a higher median income of $87,961 compared to $45,900 in Dixon.
- A higher percentage of married families is found in Waipahu at 38.0% compared to 25.0% in Dixon.
- The poverty level is higher in Dixon at 12%, compared to 10% in Waipahu.
- The unemployment rate in Waipahu is higher at 4.6%, compared to 3.5% in Dixon.
Demographics
Demographics Waipahu vs Dixon provide insight into the diversity of the communities to compare.
Demographic | Waipahu | Dixon |
---|---|---|
Black | 1 | Data is updating |
White | 11 | 98 |
Asian | 67 | Data is updating |
Hispanic | 6 | 2 |
Two or More Races | 15 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waipahu vs Dixon
- A higher percentage of Black residents are in Waipahu at 1% compared to 0% in Dixon.
- The percentage of White residents is higher in Dixon at 98% compared to 11% in Waipahu.
- The Asian population is larger in Waipahu at 67% compared to 0% in Dixon.
- The Hispanic community is larger in Waipahu at 6% compared to 2% in Dixon.
- More residents identify as two or more races in Waipahu at 15% compared to 0% in Dixon.
- The percentage of American Indian residents is the same in both Waipahu and Dixon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waipahu | Dixon |
---|---|---|
Mental Health Not Good | 12.7% | 19.7% |
Physical Health Not Good | 8.3% | 15.1% |
Depression | 10.2% | 27.4% |
Smoking | 12.9% | 24.9% |
Binge Drinking | 14.8% | 16.3% |
Obesity | 22.4% | 42.1% |
Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Waipahu vs Dixon
- In Dixon, a higher percentage report poor mental health at 19.7% compared to 12.7% in Waipahu.
- Higher depression rates are seen in Dixon at 27.4% versus 10.2% in Waipahu.
- Dixon has a higher smoking rate at 24.9% compared to 12.9% in Waipahu.
- More residents engage in binge drinking in Dixon at 16.3% compared to 14.8% in Waipahu.
- Dixon has higher obesity rates at 42.1% compared to 22.4% in Waipahu.
- There is a higher percentage of disabled individuals in Dixon at 20.0% compared to 14.0% in Waipahu.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waipahu | Dixon |
---|---|---|
No Schooling | 1.8% (729) | 0.3% (4) |
High School Diploma | 22.1% (8,831) | 17.2% (210) |
Less than High School | 11.0% (4,392) | 15.1% (184) |
Bachelor's Degree and Higher | 13.0% (5,195) | 7.6% (93) |
Education Levels Comparison: Waipahu vs Dixon
- A higher percentage of residents in Waipahu have no formal schooling at 1.8% compared to 0.3% in Dixon.
- A higher percentage of residents in Waipahu hold a high school diploma at 22.1% compared to 17.2% in Dixon.
- The percentage of residents with less than a high school education is higher in Dixon at 15.1%, compared to 11.0% in Waipahu.
- A higher percentage of residents in Waipahu hold a bachelor's degree or higher at 13.0% compared to 7.6% in Dixon.
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.