Demographics details for New cuyama, CA vs Easton, PA
Population Overview
Compare main population characteristics in New cuyama, CA vs Easton, PA.
| Data | New cuyama | Easton |
|---|---|---|
| Population | 669 | 30,341 |
| Median Age | 41.3 years | 35.5 years |
| Median Income | $55,104 | $62,642 |
| Married Families | 33.0% | 27.0% |
| Poverty Level | 15% | 15% |
| Unemployment Rate | 5.2 | 4.4 |
Population Comparison: New cuyama vs Easton
- The population in Easton is higher at 30,341, compared to 669 in New cuyama.
- Residents in New cuyama have a higher median age of 41.3 years compared to 35.5 years in Easton.
- Easton has a higher median income of $62,642, compared to $55,104 in New cuyama.
- A higher percentage of married families is found in New cuyama at 33.0% compared to 27.0% in Easton.
- The poverty level is identical in both New cuyama and Easton at 15%.
- The unemployment rate in New cuyama is higher at 5.2%, compared to 4.4% in Easton.
Demographics
Demographics New cuyama vs Easton provide insight into the diversity of the communities to compare.
| Demographic | New cuyama | Easton |
|---|---|---|
| Black | Data is updating | 15 |
| White | 29 | 51 |
| Asian | Data is updating | 1 |
| Hispanic | 52 | 22 |
| Two or More Races | 18 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: New cuyama vs Easton
- In Easton, the percentage of Black residents is higher at 15% compared to 0% in New cuyama.
- The percentage of White residents is higher in Easton at 51% compared to 29% in New cuyama.
- In Easton, the Asian population stands at 1%, greater than 0% in New cuyama.
- The Hispanic community is larger in New cuyama at 52% compared to 22% in Easton.
- More residents identify as two or more races in New cuyama at 18% compared to 11% in Easton.
- A greater percentage of American Indian residents live in New cuyama at 1% compared to 0% in Easton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New cuyama | Easton |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.5% |
| Physical Health Not Good | 12.4% | 13.2% |
| Depression | 20.7% | 21.7% |
| Smoking | 14.3% | 20.9% |
| Binge Drinking | 16.5% | 17.7% |
| Obesity | 31.4% | 36.0% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: New cuyama vs Easton
- In Easton, a higher percentage report poor mental health at 17.5% compared to 16.8% in New cuyama.
- Higher depression rates are seen in Easton at 21.7% versus 20.7% in New cuyama.
- Easton has a higher smoking rate at 20.9% compared to 14.3% in New cuyama.
- More residents engage in binge drinking in Easton at 17.7% compared to 16.5% in New cuyama.
- Easton has higher obesity rates at 36.0% compared to 31.4% in New cuyama.
- Disability percentages are higher in New cuyama at 13.0% compared to 12.0% in Easton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New cuyama | Easton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (189) |
| High School Diploma | 20.2% (135) | 19.6% (5,936) |
| Less than High School | 17.3% (116) | 16.2% (4,901) |
| Bachelor's Degree and Higher | 16.9% (113) | 15.9% (4,813) |
Education Levels Comparison: New cuyama vs Easton
- In Easton, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in New cuyama.
- A higher percentage of residents in New cuyama hold a high school diploma at 20.2% compared to 19.6% in Easton.
- More residents in New cuyama have less than a high school education at 17.3% compared to 16.2% in Easton.
- A higher percentage of residents in New cuyama hold a bachelor's degree or higher at 16.9% compared to 15.9% in Easton.
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.