Demographics details for Piggott, AR vs Villa ridge, MO
Population Overview
Compare main population characteristics in Piggott, AR vs Villa ridge, MO.
| Data | Piggott | Villa ridge |
|---|---|---|
| Population | 3,545 | 2,971 |
| Median Age | 37.6 years | 35.0 years |
| Median Income | $43,255 | $71,750 |
| Married Families | 35.0% | 37.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Piggott vs Villa ridge
- In Piggott, the population is higher at 3,545, compared to 2,971 in Villa ridge.
- Residents in Piggott have a higher median age of 37.6 years compared to 35.0 years in Villa ridge.
- Villa ridge has a higher median income of $71,750, compared to $43,255 in Piggott.
- In Villa ridge, the percentage of married families is higher at 37.0%, compared to 35.0% in Piggott.
- Piggott has a higher poverty level at 15% compared to 8% in Villa ridge.
- The unemployment rate in Piggott is higher at 3.5%, compared to 2.5% in Villa ridge.
Demographics
Demographics Piggott vs Villa ridge provide insight into the diversity of the communities to compare.
| Demographic | Piggott | Villa ridge |
|---|---|---|
| Black | Data is updating | 1 |
| White | 96 | 92 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 4 |
| Two or More Races | 2 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Piggott vs Villa ridge
- In Villa ridge, the percentage of Black residents is higher at 1% compared to 0% in Piggott.
- Piggott has a higher percentage of White residents at 96% compared to 92% in Villa ridge.
- Both Piggott and Villa ridge have the same percentage of Asian residents at 0%.
- Villa ridge has a higher percentage of Hispanic residents at 4%, compared to 1% in Piggott.
- The percentage of residents identifying as two or more races is higher in Villa ridge at 3%, compared to 2% in Piggott.
- A greater percentage of American Indian residents live in Piggott at 1% compared to 0% in Villa ridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Piggott | Villa ridge |
|---|---|---|
| Mental Health Not Good | 20.7% | 16.3% |
| Physical Health Not Good | 14.7% | 10.5% |
| Depression | 29.5% | 24.2% |
| Smoking | 23.9% | 17.2% |
| Binge Drinking | 15.0% | 19.7% |
| Obesity | 39.2% | 36.2% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Piggott vs Villa ridge
- More residents in Piggott report poor mental health at 20.7% compared to 16.3% in Villa ridge.
- Depression is more prevalent in Piggott at 29.5% compared to 24.2% in Villa ridge.
- Smoking is more prevalent in Piggott at 23.9% compared to 17.2% in Villa ridge.
- More residents engage in binge drinking in Villa ridge at 19.7% compared to 15.0% in Piggott.
- Obesity rates are higher in Piggott at 39.2% compared to 36.2% in Villa ridge.
- Disability percentages are higher in Piggott at 16.0% compared to 13.0% in Villa ridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Piggott | Villa ridge |
|---|---|---|
| No Schooling | 0.4% (14) | 0.0% (Data is updating) |
| High School Diploma | 21.0% (746) | 18.6% (554) |
| Less than High School | 11.9% (423) | 8.8% (261) |
| Bachelor's Degree and Higher | 11.7% (414) | 10.6% (316) |
Education Levels Comparison: Piggott vs Villa ridge
- A higher percentage of residents in Piggott have no formal schooling at 0.4% compared to 0.0% in Villa ridge.
- A higher percentage of residents in Piggott hold a high school diploma at 21.0% compared to 18.6% in Villa ridge.
- More residents in Piggott have less than a high school education at 11.9% compared to 8.8% in Villa ridge.
- A higher percentage of residents in Piggott hold a bachelor's degree or higher at 11.7% 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.