Demographics details for Waipahu, HI vs Grove city, OH
Population Overview
Compare main population characteristics in Waipahu, HI vs Grove city, OH.
Data | Waipahu | Grove city |
---|---|---|
Population | 39,873 | 42,233 |
Median Age | 39.6 years | 40.6 years |
Median Income | $87,961 | $84,765 |
Married Families | 38.0% | 45.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 4.6 | 4.3 |
Population Comparison: Waipahu vs Grove city
- The population in Grove city is higher at 42,233, compared to 39,873 in Waipahu.
- The median age in Grove city is higher at 40.6 years, compared to 39.6 years in Waipahu.
- Waipahu has a higher median income of $87,961 compared to $84,765 in Grove city.
- In Grove city, the percentage of married families is higher at 45.0%, compared to 38.0% in Waipahu.
- Waipahu has a higher poverty level at 10% compared to 7% in Grove city.
- The unemployment rate in Waipahu is higher at 4.6%, compared to 4.3% in Grove city.
Demographics
Demographics Waipahu vs Grove city provide insight into the diversity of the communities to compare.
Demographic | Waipahu | Grove city |
---|---|---|
Black | 1 | 4 |
White | 11 | 86 |
Asian | 67 | 3 |
Hispanic | 6 | 3 |
Two or More Races | 15 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waipahu vs Grove city
- In Grove city, the percentage of Black residents is higher at 4% compared to 1% in Waipahu.
- The percentage of White residents is higher in Grove city at 86% compared to 11% in Waipahu.
- The Asian population is larger in Waipahu at 67% compared to 3% in Grove city.
- The Hispanic community is larger in Waipahu at 6% compared to 3% in Grove city.
- More residents identify as two or more races in Waipahu at 15% compared to 4% in Grove city.
- The percentage of American Indian residents is the same in both Waipahu and Grove city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waipahu | Grove city |
---|---|---|
Mental Health Not Good | 12.7% | 17.0% |
Physical Health Not Good | 8.3% | 10.1% |
Depression | 10.2% | 25.1% |
Smoking | 12.9% | 16.5% |
Binge Drinking | 14.8% | 20.7% |
Obesity | 22.4% | 33.1% |
Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Waipahu vs Grove city
- In Grove city, a higher percentage report poor mental health at 17.0% compared to 12.7% in Waipahu.
- Higher depression rates are seen in Grove city at 25.1% versus 10.2% in Waipahu.
- Grove city has a higher smoking rate at 16.5% compared to 12.9% in Waipahu.
- More residents engage in binge drinking in Grove city at 20.7% compared to 14.8% in Waipahu.
- Grove city has higher obesity rates at 33.1% compared to 22.4% in Waipahu.
- Disability percentages are higher in Waipahu at 14.0% compared to 11.0% in Grove city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waipahu | Grove city |
---|---|---|
No Schooling | 1.8% (729) | 0.7% (302) |
High School Diploma | 22.1% (8,831) | 18.7% (7,916) |
Less than High School | 11.0% (4,392) | 8.5% (3,598) |
Bachelor's Degree and Higher | 13.0% (5,195) | 22.9% (9,679) |
Education Levels Comparison: Waipahu vs Grove city
- A higher percentage of residents in Waipahu have no formal schooling at 1.8% compared to 0.7% in Grove city.
- A higher percentage of residents in Waipahu hold a high school diploma at 22.1% compared to 18.7% in Grove city.
- More residents in Waipahu have less than a high school education at 11.0% compared to 8.5% in Grove city.
- In Grove city, a larger share of residents have a bachelor's degree or higher at 22.9% compared to 13.0% in Waipahu.
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.