Demographics details for Pearl city, HI vs Wright, WY
Population Overview
Compare main population characteristics in Pearl city, HI vs Wright, WY.
| Data | Pearl city | Wright |
|---|---|---|
| Population | 46,812 | 1,640 |
| Median Age | 44.2 years | 35.8 years |
| Median Income | $116,938 | $88,150 |
| Married Families | 44.0% | 55.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 2.5 | 2.5 |
Population Comparison: Pearl city vs Wright
- In Pearl city, the population is higher at 46,812, compared to 1,640 in Wright.
- Residents in Pearl city have a higher median age of 44.2 years compared to 35.8 years in Wright.
- Pearl city has a higher median income of $116,938 compared to $88,150 in Wright.
- In Wright, the percentage of married families is higher at 55.0%, compared to 44.0% in Pearl city.
- Pearl city has a higher poverty level at 7% compared to 5% in Wright.
- The unemployment rate is the same in both Pearl city and Wright at 2.5%.
Demographics
Demographics Pearl city vs Wright provide insight into the diversity of the communities to compare.
| Demographic | Pearl city | Wright |
|---|---|---|
| Black | 2 | 1 |
| White | 10 | 74 |
| Asian | 55 | 1 |
| Hispanic | 9 | 11 |
| Two or More Races | 24 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pearl city vs Wright
- A higher percentage of Black residents are in Pearl city at 2% compared to 1% in Wright.
- The percentage of White residents is higher in Wright at 74% compared to 10% in Pearl city.
- The Asian population is larger in Pearl city at 55% compared to 1% in Wright.
- Wright has a higher percentage of Hispanic residents at 11%, compared to 9% in Pearl city.
- More residents identify as two or more races in Pearl city at 24% compared to 13% in Wright.
- The percentage of American Indian residents is the same in both Pearl city and Wright at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pearl city | Wright |
|---|---|---|
| Mental Health Not Good | 12.1% | 14.3% |
| Physical Health Not Good | 7.2% | 9.7% |
| Depression | 11.1% | 18.3% |
| Smoking | 10.4% | 16.8% |
| Binge Drinking | 17.8% | 19.0% |
| Obesity | 22.3% | 34.3% |
| Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Pearl city vs Wright
- In Wright, a higher percentage report poor mental health at 14.3% compared to 12.1% in Pearl city.
- Higher depression rates are seen in Wright at 18.3% versus 11.1% in Pearl city.
- Wright has a higher smoking rate at 16.8% compared to 10.4% in Pearl city.
- More residents engage in binge drinking in Wright at 19.0% compared to 17.8% in Pearl city.
- Wright has higher obesity rates at 34.3% compared to 22.3% in Pearl city.
- Disability percentages are higher in Pearl city at 13.0% compared to 7.0% in Wright.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pearl city | Wright |
|---|---|---|
| No Schooling | 0.8% (356) | 9.8% (160) |
| High School Diploma | 16.9% (7,924) | 20.5% (336) |
| Less than High School | 4.2% (1,969) | 20.7% (340) |
| Bachelor's Degree and Higher | 27.0% (12,639) | 7.0% (114) |
Education Levels Comparison: Pearl city vs Wright
- In Wright, a larger percentage of residents lack formal schooling at 9.8% compared to 0.8% in Pearl city.
- In Wright, the rate of residents with high school diplomas is higher at 20.5% compared to 16.9% in Pearl city.
- The percentage of residents with less than a high school education is higher in Wright at 20.7%, compared to 4.2% in Pearl city.
- A higher percentage of residents in Pearl city hold a bachelor's degree or higher at 27.0% compared to 7.0% in Wright.
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.