Demographics details for Abbyville, KS vs Pleasanton, CA
Population Overview
Compare main population characteristics in Abbyville, KS vs Pleasanton, CA.
| Data | Abbyville | Pleasanton |
|---|---|---|
| Population | 82 | 76,689 |
| Median Age | 64.4 years | 41.5 years |
| Median Income | $39,375 | $181,639 |
| Married Families | 48.0% | 53.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Abbyville vs Pleasanton
- The population in Pleasanton is higher at 76,689, compared to 82 in Abbyville.
- Residents in Abbyville have a higher median age of 64.4 years compared to 41.5 years in Pleasanton.
- Pleasanton has a higher median income of $181,639, compared to $39,375 in Abbyville.
- In Pleasanton, the percentage of married families is higher at 53.0%, compared to 48.0% in Abbyville.
- Abbyville has a higher poverty level at 10% compared to 7% in Pleasanton.
- Pleasanton has a higher unemployment rate at 4.3% compared to 3.5% in Abbyville.
Demographics
Demographics Abbyville vs Pleasanton provide insight into the diversity of the communities to compare.
| Demographic | Abbyville | Pleasanton |
|---|---|---|
| Black | Data is updating | 2 |
| White | 92 | 37 |
| Asian | Data is updating | 42 |
| Hispanic | 2 | 12 |
| Two or More Races | 5 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Abbyville vs Pleasanton
- In Pleasanton, the percentage of Black residents is higher at 2% compared to 0% in Abbyville.
- Abbyville has a higher percentage of White residents at 92% compared to 37% in Pleasanton.
- In Pleasanton, the Asian population stands at 42%, greater than 0% in Abbyville.
- Pleasanton has a higher percentage of Hispanic residents at 12%, compared to 2% in Abbyville.
- The percentage of residents identifying as two or more races is higher in Pleasanton at 7%, compared to 5% in Abbyville.
- A greater percentage of American Indian residents live in Abbyville at 1% compared to 0% in Pleasanton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Abbyville | Pleasanton |
|---|---|---|
| Mental Health Not Good | 18.4% | 13.1% |
| Physical Health Not Good | 12.4% | 7.3% |
| Depression | 27.5% | 17.6% |
| Smoking | 22.2% | 7.2% |
| Binge Drinking | 16.3% | 17.2% |
| Obesity | 43.0% | 22.9% |
| Disability Percentage | 18.0% | 8.0% |
Health Statistics Comparison: Abbyville vs Pleasanton
- More residents in Abbyville report poor mental health at 18.4% compared to 13.1% in Pleasanton.
- Depression is more prevalent in Abbyville at 27.5% compared to 17.6% in Pleasanton.
- Smoking is more prevalent in Abbyville at 22.2% compared to 7.2% in Pleasanton.
- More residents engage in binge drinking in Pleasanton at 17.2% compared to 16.3% in Abbyville.
- Obesity rates are higher in Abbyville at 43.0% compared to 22.9% in Pleasanton.
- Disability percentages are higher in Abbyville at 18.0% compared to 8.0% in Pleasanton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Abbyville | Pleasanton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (407) |
| High School Diploma | 22.0% (18) | 6.2% (4,722) |
| Less than High School | 0.0% (Data is updating) | 3.8% (2,941) |
| Bachelor's Degree and Higher | 3.7% (3) | 49.3% (37,825) |
Education Levels Comparison: Abbyville vs Pleasanton
- In Pleasanton, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Abbyville.
- A higher percentage of residents in Abbyville hold a high school diploma at 22.0% compared to 6.2% in Pleasanton.
- The percentage of residents with less than a high school education is higher in Pleasanton at 3.8%, compared to 0.0% in Abbyville.
- In Pleasanton, a larger share of residents have a bachelor's degree or higher at 49.3% compared to 3.7% in Abbyville.
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.