Demographics details for Eau claire, WI vs Pearl city, HI
Population Overview
Compare main population characteristics in Eau claire, WI vs Pearl city, HI.
Data | Eau claire | Pearl city |
---|---|---|
Population | 69,737 | 46,812 |
Median Age | 32.8 years | 44.2 years |
Median Income | $63,882 | $116,938 |
Married Families | 34.0% | 44.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 3.0 | 2.5 |
Population Comparison: Eau claire vs Pearl city
- In Eau claire, the population is higher at 69,737, compared to 46,812 in Pearl city.
- The median age in Pearl city is higher at 44.2 years, compared to 32.8 years in Eau claire.
- Pearl city has a higher median income of $116,938, compared to $63,882 in Eau claire.
- In Pearl city, the percentage of married families is higher at 44.0%, compared to 34.0% in Eau claire.
- Eau claire has a higher poverty level at 10% compared to 7% in Pearl city.
- The unemployment rate in Eau claire is higher at 3.0%, compared to 2.5% in Pearl city.
Demographics
Demographics Eau claire vs Pearl city provide insight into the diversity of the communities to compare.
Demographic | Eau claire | Pearl city |
---|---|---|
Black | 1 | 2 |
White | 86 | 10 |
Asian | 6 | 55 |
Hispanic | 3 | 9 |
Two or More Races | 4 | 24 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Eau claire vs Pearl city
- In Pearl city, the percentage of Black residents is higher at 2% compared to 1% in Eau claire.
- Eau claire has a higher percentage of White residents at 86% compared to 10% in Pearl city.
- In Pearl city, the Asian population stands at 55%, greater than 6% in Eau claire.
- Pearl city has a higher percentage of Hispanic residents at 9%, compared to 3% in Eau claire.
- The percentage of residents identifying as two or more races is higher in Pearl city at 24%, compared to 4% in Eau claire.
- The percentage of American Indian residents is the same in both Eau claire and Pearl city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Eau claire | Pearl city |
---|---|---|
Mental Health Not Good | 15.3% | 12.1% |
Physical Health Not Good | 9.8% | 7.2% |
Depression | 23.6% | 11.1% |
Smoking | 15.2% | 10.4% |
Binge Drinking | 24.8% | 17.8% |
Obesity | 32.2% | 22.3% |
Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Eau claire vs Pearl city
- More residents in Eau claire report poor mental health at 15.3% compared to 12.1% in Pearl city.
- Depression is more prevalent in Eau claire at 23.6% compared to 11.1% in Pearl city.
- Smoking is more prevalent in Eau claire at 15.2% compared to 10.4% in Pearl city.
- Binge drinking is more common in Eau claire at 24.8% compared to 17.8% in Pearl city.
- Obesity rates are higher in Eau claire at 32.2% compared to 22.3% in Pearl city.
- Disability percentages are the same in both Eau claire and Pearl city at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Eau claire | Pearl city |
---|---|---|
No Schooling | 0.5% (340) | 0.8% (356) |
High School Diploma | 14.2% (9,934) | 16.9% (7,924) |
Less than High School | 3.7% (2,573) | 4.2% (1,969) |
Bachelor's Degree and Higher | 21.6% (15,073) | 27.0% (12,639) |
Education Levels Comparison: Eau claire vs Pearl city
- In Pearl city, a larger percentage of residents lack formal schooling at 0.8% compared to 0.5% in Eau claire.
- In Pearl city, the rate of residents with high school diplomas is higher at 16.9% compared to 14.2% in Eau claire.
- The percentage of residents with less than a high school education is higher in Pearl city at 4.2%, compared to 3.7% in Eau claire.
- In Pearl city, a larger share of residents have a bachelor's degree or higher at 27.0% compared to 21.6% in Eau claire.
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.