Demographics details for Pleasanton, CA vs Clinton, SC
Population Overview
Compare main population characteristics in Pleasanton, CA vs Clinton, SC.
| Data | Pleasanton | Clinton |
|---|---|---|
| Population | 76,689 | 7,554 |
| Median Age | 41.5 years | 35.4 years |
| Median Income | $181,639 | $38,350 |
| Married Families | 53.0% | 19.0% |
| Poverty Level | 7% | 18% |
| Unemployment Rate | 4.3 | 4.5 |
Population Comparison: Pleasanton vs Clinton
- In Pleasanton, the population is higher at 76,689, compared to 7,554 in Clinton.
- Residents in Pleasanton have a higher median age of 41.5 years compared to 35.4 years in Clinton.
- Pleasanton has a higher median income of $181,639 compared to $38,350 in Clinton.
- A higher percentage of married families is found in Pleasanton at 53.0% compared to 19.0% in Clinton.
- The poverty level is higher in Clinton at 18%, compared to 7% in Pleasanton.
- Clinton has a higher unemployment rate at 4.5% compared to 4.3% in Pleasanton.
Demographics
Demographics Pleasanton vs Clinton provide insight into the diversity of the communities to compare.
| Demographic | Pleasanton | Clinton |
|---|---|---|
| Black | 2 | 38 |
| White | 37 | 55 |
| Asian | 42 | 2 |
| Hispanic | 12 | 1 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pleasanton vs Clinton
- In Clinton, the percentage of Black residents is higher at 38% compared to 2% in Pleasanton.
- The percentage of White residents is higher in Clinton at 55% compared to 37% in Pleasanton.
- The Asian population is larger in Pleasanton at 42% compared to 2% in Clinton.
- The Hispanic community is larger in Pleasanton at 12% compared to 1% in Clinton.
- More residents identify as two or more races in Pleasanton at 7% compared to 4% in Clinton.
- The percentage of American Indian residents is the same in both Pleasanton and Clinton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pleasanton | Clinton |
|---|---|---|
| Mental Health Not Good | 13.1% | 19.1% |
| Physical Health Not Good | 7.3% | 14.0% |
| Depression | 17.6% | 23.7% |
| Smoking | 7.2% | 22.0% |
| Binge Drinking | 17.2% | 15.8% |
| Obesity | 22.9% | 44.9% |
| Disability Percentage | 8.0% | 17.0% |
Health Statistics Comparison: Pleasanton vs Clinton
- In Clinton, a higher percentage report poor mental health at 19.1% compared to 13.1% in Pleasanton.
- Higher depression rates are seen in Clinton at 23.7% versus 17.6% in Pleasanton.
- Clinton has a higher smoking rate at 22.0% compared to 7.2% in Pleasanton.
- Binge drinking is more common in Pleasanton at 17.2% compared to 15.8% in Clinton.
- Clinton has higher obesity rates at 44.9% compared to 22.9% in Pleasanton.
- There is a higher percentage of disabled individuals in Clinton at 17.0% 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 | Pleasanton | Clinton |
|---|---|---|
| No Schooling | 0.5% (407) | 1.0% (74) |
| High School Diploma | 6.2% (4,722) | 19.3% (1,460) |
| Less than High School | 3.8% (2,941) | 15.6% (1,177) |
| Bachelor's Degree and Higher | 49.3% (37,825) | 17.3% (1,310) |
Education Levels Comparison: Pleasanton vs Clinton
- In Clinton, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Pleasanton.
- In Clinton, the rate of residents with high school diplomas is higher at 19.3% compared to 6.2% in Pleasanton.
- The percentage of residents with less than a high school education is higher in Clinton at 15.6%, compared to 3.8% in Pleasanton.
- A higher percentage of residents in Pleasanton hold a bachelor's degree or higher at 49.3% compared to 17.3% in Clinton.
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.