Demographics details for Maryville, MO vs Pearl city, HI
Population Overview
Compare main population characteristics in Maryville, MO vs Pearl city, HI.
| Data | Maryville | Pearl city |
|---|---|---|
| Population | 10,461 | 46,812 |
| Median Age | 25.0 years | 44.2 years |
| Median Income | $49,144 | $116,938 |
| Married Families | 28.0% | 44.0% |
| Poverty Level | 15% | 7% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Maryville vs Pearl city
- The population in Pearl city is higher at 46,812, compared to 10,461 in Maryville.
- The median age in Pearl city is higher at 44.2 years, compared to 25.0 years in Maryville.
- Pearl city has a higher median income of $116,938, compared to $49,144 in Maryville.
- In Pearl city, the percentage of married families is higher at 44.0%, compared to 28.0% in Maryville.
- Maryville has a higher poverty level at 15% compared to 7% in Pearl city.
- The unemployment rate in Maryville is higher at 3.5%, compared to 2.5% in Pearl city.
Demographics
Demographics Maryville vs Pearl city provide insight into the diversity of the communities to compare.
| Demographic | Maryville | Pearl city |
|---|---|---|
| Black | 4 | 2 |
| White | 89 | 10 |
| Asian | 2 | 55 |
| Hispanic | 3 | 9 |
| Two or More Races | 2 | 24 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Maryville vs Pearl city
- A higher percentage of Black residents are in Maryville at 4% compared to 2% in Pearl city.
- Maryville has a higher percentage of White residents at 89% compared to 10% in Pearl city.
- In Pearl city, the Asian population stands at 55%, greater than 2% in Maryville.
- Pearl city has a higher percentage of Hispanic residents at 9%, compared to 3% in Maryville.
- The percentage of residents identifying as two or more races is higher in Pearl city at 24%, compared to 2% in Maryville.
- The percentage of American Indian residents is the same in both Maryville and Pearl city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maryville | Pearl city |
|---|---|---|
| Mental Health Not Good | 18.1% | 12.1% |
| Physical Health Not Good | 13.2% | 7.2% |
| Depression | 23.8% | 11.1% |
| Smoking | 20.1% | 10.4% |
| Binge Drinking | 17.9% | 17.8% |
| Obesity | 40.4% | 22.3% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Maryville vs Pearl city
- More residents in Maryville report poor mental health at 18.1% compared to 12.1% in Pearl city.
- Depression is more prevalent in Maryville at 23.8% compared to 11.1% in Pearl city.
- Smoking is more prevalent in Maryville at 20.1% compared to 10.4% in Pearl city.
- Binge drinking is more common in Maryville at 17.9% compared to 17.8% in Pearl city.
- Obesity rates are higher in Maryville at 40.4% compared to 22.3% in Pearl city.
- There is a higher percentage of disabled individuals in Pearl city at 13.0% compared to 11.0% in Maryville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Maryville | Pearl city |
|---|---|---|
| No Schooling | 0.1% (15) | 0.8% (356) |
| High School Diploma | 14.1% (1,471) | 16.9% (7,924) |
| Less than High School | 5.0% (522) | 4.2% (1,969) |
| Bachelor's Degree and Higher | 16.7% (1,743) | 27.0% (12,639) |
Education Levels Comparison: Maryville vs Pearl city
- In Pearl city, a larger percentage of residents lack formal schooling at 0.8% compared to 0.1% in Maryville.
- In Pearl city, the rate of residents with high school diplomas is higher at 16.9% compared to 14.1% in Maryville.
- More residents in Maryville have less than a high school education at 5.0% compared to 4.2% in Pearl city.
- In Pearl city, a larger share of residents have a bachelor's degree or higher at 27.0% compared to 16.7% in Maryville.
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.