Demographics details for Piggott, AR vs Blue ridge, GA
Population Overview
Compare main population characteristics in Piggott, AR vs Blue ridge, GA.
Data | Piggott | Blue ridge |
---|---|---|
Population | 3,545 | 1,226 |
Median Age | 37.6 years | 47.3 years |
Median Income | $43,255 | $34,659 |
Married Families | 35.0% | 42.0% |
Poverty Level | 15% | 14% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Piggott vs Blue ridge
- In Piggott, the population is higher at 3,545, compared to 1,226 in Blue ridge.
- The median age in Blue ridge is higher at 47.3 years, compared to 37.6 years in Piggott.
- Piggott has a higher median income of $43,255 compared to $34,659 in Blue ridge.
- In Blue ridge, the percentage of married families is higher at 42.0%, compared to 35.0% in Piggott.
- Piggott has a higher poverty level at 15% compared to 14% in Blue ridge.
- The unemployment rate is the same in both Piggott and Blue ridge at 3.5%.
Demographics
Demographics Piggott vs Blue ridge provide insight into the diversity of the communities to compare.
Demographic | Piggott | Blue ridge |
---|---|---|
Black | Data is updating | 3 |
White | 96 | 93 |
Asian | Data is updating | Data is updating |
Hispanic | 1 | 3 |
Two or More Races | 2 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Piggott vs Blue ridge
- In Blue ridge, the percentage of Black residents is higher at 3% compared to 0% in Piggott.
- Piggott has a higher percentage of White residents at 96% compared to 93% in Blue ridge.
- Both Piggott and Blue ridge have the same percentage of Asian residents at 0%.
- Blue ridge has a higher percentage of Hispanic residents at 3%, compared to 1% in Piggott.
- More residents identify as two or more races in Piggott at 2% compared to 1% in Blue ridge.
- A greater percentage of American Indian residents live in Piggott at 1% compared to 0% in Blue ridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Piggott | Blue ridge |
---|---|---|
Mental Health Not Good | 20.7% | 17.5% |
Physical Health Not Good | 14.7% | 12.4% |
Depression | 29.5% | 23.5% |
Smoking | 23.9% | 18.6% |
Binge Drinking | 15.0% | 17.3% |
Obesity | 39.2% | 32.9% |
Disability Percentage | 16.0% | 27.0% |
Health Statistics Comparison: Piggott vs Blue ridge
- More residents in Piggott report poor mental health at 20.7% compared to 17.5% in Blue ridge.
- Depression is more prevalent in Piggott at 29.5% compared to 23.5% in Blue ridge.
- Smoking is more prevalent in Piggott at 23.9% compared to 18.6% in Blue ridge.
- More residents engage in binge drinking in Blue ridge at 17.3% compared to 15.0% in Piggott.
- Obesity rates are higher in Piggott at 39.2% compared to 32.9% in Blue ridge.
- There is a higher percentage of disabled individuals in Blue ridge at 27.0% compared to 16.0% in Piggott.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Piggott | Blue ridge |
---|---|---|
No Schooling | 0.4% (14) | 3.5% (43) |
High School Diploma | 21.0% (746) | 21.1% (259) |
Less than High School | 11.9% (423) | 38.8% (476) |
Bachelor's Degree and Higher | 11.7% (414) | 15.3% (187) |
Education Levels Comparison: Piggott vs Blue ridge
- In Blue ridge, a larger percentage of residents lack formal schooling at 3.5% compared to 0.4% in Piggott.
- In Blue ridge, the rate of residents with high school diplomas is higher at 21.1% compared to 21.0% in Piggott.
- The percentage of residents with less than a high school education is higher in Blue ridge at 38.8%, compared to 11.9% in Piggott.
- In Blue ridge, a larger share of residents have a bachelor's degree or higher at 15.3% compared to 11.7% in Piggott.
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.