Demographics details for Moberly, MO vs White swan, WA
Population Overview
Compare main population characteristics in Moberly, MO vs White swan, WA.
| Data | Moberly | White swan |
|---|---|---|
| Population | 13,774 | 561 |
| Median Age | 37.5 years | 24.5 years |
| Median Income | $39,332 | $51,667 |
| Married Families | 27.0% | 13.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 4.2 | 8.2 |
Population Comparison: Moberly vs White swan
- In Moberly, the population is higher at 13,774, compared to 561 in White swan.
- Residents in Moberly have a higher median age of 37.5 years compared to 24.5 years in White swan.
- White swan has a higher median income of $51,667, compared to $39,332 in Moberly.
- A higher percentage of married families is found in Moberly at 27.0% compared to 13.0% in White swan.
- Moberly has a higher poverty level at 13% compared to 12% in White swan.
- White swan has a higher unemployment rate at 8.2% compared to 4.2% in Moberly.
Demographics
Demographics Moberly vs White swan provide insight into the diversity of the communities to compare.
| Demographic | Moberly | White swan |
|---|---|---|
| Black | 9 | Data is updating |
| White | 81 | -6 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 26 |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | 70 |
Demographics Comparison: Moberly vs White swan
- A higher percentage of Black residents are in Moberly at 9% compared to 0% in White swan.
- Moberly has a higher percentage of White residents at 81% compared to -6% in White swan.
- The Asian population is larger in Moberly at 1% compared to 0% in White swan.
- White swan has a higher percentage of Hispanic residents at 26%, compared to 3% in Moberly.
- The percentage of residents identifying as two or more races is higher in White swan at 10%, compared to 6% in Moberly.
- In White swan, the percentage of American Indian residents is higher at 70%, compared to 0% in Moberly.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moberly | White swan |
|---|---|---|
| Mental Health Not Good | 19.5% | 22.0% |
| Physical Health Not Good | 14.9% | 18.1% |
| Depression | 26.1% | 24.7% |
| Smoking | 24.6% | 26.0% |
| Binge Drinking | 16.6% | 15.8% |
| Obesity | 44.1% | 43.8% |
| Disability Percentage | 15.0% | 21.0% |
Health Statistics Comparison: Moberly vs White swan
- In White swan, a higher percentage report poor mental health at 22.0% compared to 19.5% in Moberly.
- Depression is more prevalent in Moberly at 26.1% compared to 24.7% in White swan.
- White swan has a higher smoking rate at 26.0% compared to 24.6% in Moberly.
- Binge drinking is more common in Moberly at 16.6% compared to 15.8% in White swan.
- Obesity rates are higher in Moberly at 44.1% compared to 43.8% in White swan.
- There is a higher percentage of disabled individuals in White swan at 21.0% compared to 15.0% in Moberly.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moberly | White swan |
|---|---|---|
| No Schooling | 1.0% (132) | 0.0% (Data is updating) |
| High School Diploma | 22.9% (3,149) | 16.4% (92) |
| Less than High School | 14.7% (2,021) | 24.8% (139) |
| Bachelor's Degree and Higher | 11.0% (1,514) | 0.9% (5) |
Education Levels Comparison: Moberly vs White swan
- A higher percentage of residents in Moberly have no formal schooling at 1.0% compared to 0.0% in White swan.
- A higher percentage of residents in Moberly hold a high school diploma at 22.9% compared to 16.4% in White swan.
- The percentage of residents with less than a high school education is higher in White swan at 24.8%, compared to 14.7% in Moberly.
- A higher percentage of residents in Moberly hold a bachelor's degree or higher at 11.0% compared to 0.9% in White swan.
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.