Demographics details for Maryville, MO vs Post falls, ID
Population Overview
Compare main population characteristics in Maryville, MO vs Post falls, ID.
| Data | Maryville | Post falls |
|---|---|---|
| Population | 10,461 | 44,194 |
| Median Age | 25.0 years | 34.5 years |
| Median Income | $49,144 | $71,042 |
| Married Families | 28.0% | 35.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Maryville vs Post falls
- The population in Post falls is higher at 44,194, compared to 10,461 in Maryville.
- The median age in Post falls is higher at 34.5 years, compared to 25.0 years in Maryville.
- Post falls has a higher median income of $71,042, compared to $49,144 in Maryville.
- In Post falls, the percentage of married families is higher at 35.0%, compared to 28.0% in Maryville.
- Maryville has a higher poverty level at 15% compared to 8% in Post falls.
- Post falls has a higher unemployment rate at 3.7% compared to 3.5% in Maryville.
Demographics
Demographics Maryville vs Post falls provide insight into the diversity of the communities to compare.
| Demographic | Maryville | Post falls |
|---|---|---|
| Black | 4 | Data is updating |
| White | 89 | 87 |
| Asian | 2 | Data is updating |
| Hispanic | 3 | 5 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Maryville vs Post falls
- A higher percentage of Black residents are in Maryville at 4% compared to 0% in Post falls.
- Maryville has a higher percentage of White residents at 89% compared to 87% in Post falls.
- The Asian population is larger in Maryville at 2% compared to 0% in Post falls.
- Post falls has a higher percentage of Hispanic residents at 5%, compared to 3% in Maryville.
- The percentage of residents identifying as two or more races is higher in Post falls at 7%, compared to 2% in Maryville.
- In Post falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Maryville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maryville | Post falls |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.9% |
| Physical Health Not Good | 13.2% | 12.3% |
| Depression | 23.8% | 22.9% |
| Smoking | 20.1% | 18.6% |
| Binge Drinking | 17.9% | 17.6% |
| Obesity | 40.4% | 29.8% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Maryville vs Post falls
- More residents in Maryville report poor mental health at 18.1% compared to 16.9% in Post falls.
- Depression is more prevalent in Maryville at 23.8% compared to 22.9% in Post falls.
- Smoking is more prevalent in Maryville at 20.1% compared to 18.6% in Post falls.
- Binge drinking is more common in Maryville at 17.9% compared to 17.6% in Post falls.
- Obesity rates are higher in Maryville at 40.4% compared to 29.8% in Post falls.
- There is a higher percentage of disabled individuals in Post falls at 12.0% 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 | Post falls |
|---|---|---|
| No Schooling | 0.1% (15) | 0.3% (121) |
| High School Diploma | 14.1% (1,471) | 14.1% (6,217) |
| Less than High School | 5.0% (522) | 7.7% (3,421) |
| Bachelor's Degree and Higher | 16.7% (1,743) | 13.1% (5,799) |
Education Levels Comparison: Maryville vs Post falls
- In Post falls, a larger percentage of residents lack formal schooling at 0.3% compared to 0.1% in Maryville.
- Both cities have the same percentage of residents with high school diplomas at 14.1%.
- The percentage of residents with less than a high school education is higher in Post falls at 7.7%, compared to 5.0% in Maryville.
- A higher percentage of residents in Maryville hold a bachelor's degree or higher at 16.7% compared to 13.1% in Post falls.
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.