Demographics details for Waipahu, HI vs Cypress inn, TN
Population Overview
Compare main population characteristics in Waipahu, HI vs Cypress inn, TN.
Data | Waipahu | Cypress inn |
---|---|---|
Population | 39,873 | 149 |
Median Age | 39.6 years | 36.0 years |
Median Income | $87,961 | $45,000 |
Married Families | 38.0% | 45.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.6 | 3.5 |
Population Comparison: Waipahu vs Cypress inn
- In Waipahu, the population is higher at 39,873, compared to 149 in Cypress inn.
- Residents in Waipahu have a higher median age of 39.6 years compared to 36.0 years in Cypress inn.
- Waipahu has a higher median income of $87,961 compared to $45,000 in Cypress inn.
- In Cypress inn, the percentage of married families is higher at 45.0%, compared to 38.0% in Waipahu.
- The poverty level is higher in Cypress inn at 12%, compared to 10% in Waipahu.
- The unemployment rate in Waipahu is higher at 4.6%, compared to 3.5% in Cypress inn.
Demographics
Demographics Waipahu vs Cypress inn provide insight into the diversity of the communities to compare.
Demographic | Waipahu | Cypress inn |
---|---|---|
Black | 1 | 5 |
White | 11 | 90 |
Asian | 67 | Data is updating |
Hispanic | 6 | 3 |
Two or More Races | 15 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waipahu vs Cypress inn
- In Cypress inn, the percentage of Black residents is higher at 5% compared to 1% in Waipahu.
- The percentage of White residents is higher in Cypress inn at 90% compared to 11% in Waipahu.
- The Asian population is larger in Waipahu at 67% compared to 0% in Cypress inn.
- The Hispanic community is larger in Waipahu at 6% compared to 3% in Cypress inn.
- More residents identify as two or more races in Waipahu at 15% compared to 2% in Cypress inn.
- The percentage of American Indian residents is the same in both Waipahu and Cypress inn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waipahu | Cypress inn |
---|---|---|
Mental Health Not Good | 12.7% | Data is updating% |
Physical Health Not Good | 8.3% | Data is updating% |
Depression | 10.2% | Data is updating% |
Smoking | 12.9% | Data is updating% |
Binge Drinking | 14.8% | Data is updating% |
Obesity | 22.4% | Data is updating% |
Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Waipahu vs Cypress inn
- More residents in Waipahu report poor mental health at 12.7% compared to 0.0% in Cypress inn.
- Depression is more prevalent in Waipahu at 10.2% compared to 0.0% in Cypress inn.
- Smoking is more prevalent in Waipahu at 12.9% compared to 0.0% in Cypress inn.
- Binge drinking is more common in Waipahu at 14.8% compared to 0.0% in Cypress inn.
- Obesity rates are higher in Waipahu at 22.4% compared to 0.0% in Cypress inn.
- Disability percentages are higher in Waipahu at 14.0% compared to 0.0% in Cypress inn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waipahu | Cypress inn |
---|---|---|
No Schooling | 1.8% (729) | 0.0% (Data is updating) |
High School Diploma | 22.1% (8,831) | 0.0% (Data is updating) |
Less than High School | 11.0% (4,392) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 13.0% (5,195) | 0.0% (Data is updating) |
Education Levels Comparison: Waipahu vs Cypress inn
- A higher percentage of residents in Waipahu have no formal schooling at 1.8% compared to 0.0% in Cypress inn.
- A higher percentage of residents in Waipahu hold a high school diploma at 22.1% compared to 0.0% in Cypress inn.
- More residents in Waipahu have less than a high school education at 11.0% compared to 0.0% in Cypress inn.
- A higher percentage of residents in Waipahu hold a bachelor's degree or higher at 13.0% compared to 0.0% in Cypress inn.
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.