Demographics details for Moorhead, MN vs Villa ridge, MO
Population Overview
Compare main population characteristics in Moorhead, MN vs Villa ridge, MO.
| Data | Moorhead | Villa ridge |
|---|---|---|
| Population | 44,861 | 2,971 |
| Median Age | 31.0 years | 35.0 years |
| Median Income | $68,680 | $71,750 |
| Married Families | 33.0% | 37.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 3.0 | 2.5 |
Population Comparison: Moorhead vs Villa ridge
- In Moorhead, the population is higher at 44,861, compared to 2,971 in Villa ridge.
- The median age in Villa ridge is higher at 35.0 years, compared to 31.0 years in Moorhead.
- Villa ridge has a higher median income of $71,750, compared to $68,680 in Moorhead.
- In Villa ridge, the percentage of married families is higher at 37.0%, compared to 33.0% in Moorhead.
- Moorhead has a higher poverty level at 9% compared to 8% in Villa ridge.
- The unemployment rate in Moorhead is higher at 3.0%, compared to 2.5% in Villa ridge.
Demographics
Demographics Moorhead vs Villa ridge provide insight into the diversity of the communities to compare.
| Demographic | Moorhead | Villa ridge |
|---|---|---|
| Black | 6 | 1 |
| White | 81 | 92 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 4 |
| Two or More Races | 5 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Moorhead vs Villa ridge
- A higher percentage of Black residents are in Moorhead at 6% compared to 1% in Villa ridge.
- The percentage of White residents is higher in Villa ridge at 92% compared to 81% in Moorhead.
- The Asian population is larger in Moorhead at 2% compared to 0% in Villa ridge.
- The Hispanic community is larger in Moorhead at 5% compared to 4% in Villa ridge.
- More residents identify as two or more races in Moorhead at 5% compared to 3% in Villa ridge.
- A greater percentage of American Indian residents live in Moorhead at 1% compared to 0% in Villa ridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moorhead | Villa ridge |
|---|---|---|
| Mental Health Not Good | 15.6% | 16.3% |
| Physical Health Not Good | 9.4% | 10.5% |
| Depression | 26.5% | 24.2% |
| Smoking | 17.2% | 17.2% |
| Binge Drinking | 19.0% | 19.7% |
| Obesity | 35.6% | 36.2% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Moorhead vs Villa ridge
- In Villa ridge, a higher percentage report poor mental health at 16.3% compared to 15.6% in Moorhead.
- Depression is more prevalent in Moorhead at 26.5% compared to 24.2% in Villa ridge.
- Smoking rates are the same in both Moorhead and Villa ridge at 17.2%.
- More residents engage in binge drinking in Villa ridge at 19.7% compared to 19.0% in Moorhead.
- Villa ridge has higher obesity rates at 36.2% compared to 35.6% in Moorhead.
- There is a higher percentage of disabled individuals in Villa ridge at 13.0% compared to 11.0% in Moorhead.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moorhead | Villa ridge |
|---|---|---|
| No Schooling | 0.6% (250) | 0.0% (Data is updating) |
| High School Diploma | 10.0% (4,508) | 18.6% (554) |
| Less than High School | 6.0% (2,686) | 8.8% (261) |
| Bachelor's Degree and Higher | 22.9% (10,291) | 10.6% (316) |
Education Levels Comparison: Moorhead vs Villa ridge
- A higher percentage of residents in Moorhead have no formal schooling at 0.6% compared to 0.0% in Villa ridge.
- In Villa ridge, the rate of residents with high school diplomas is higher at 18.6% compared to 10.0% in Moorhead.
- The percentage of residents with less than a high school education is higher in Villa ridge at 8.8%, compared to 6.0% in Moorhead.
- A higher percentage of residents in Moorhead hold a bachelor's degree or higher at 22.9% compared to 10.6% in Villa ridge.
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.