Demographics details for Pasadena, CA vs Enon valley, PA
Population Overview
Compare main population characteristics in Pasadena, CA vs Enon valley, PA.
Data | Pasadena | Enon valley |
---|---|---|
Population | 134,211 | 295 |
Median Age | 39.9 years | 41.7 years |
Median Income | $97,818 | $56,875 |
Married Families | 37.0% | 50.0% |
Poverty Level | 14% | Data is updating |
Unemployment Rate | 5.3 | Data is updating |
Population Comparison: Pasadena vs Enon valley
- In Pasadena, the population is higher at 134,211, compared to 295 in Enon valley.
- The median age in Enon valley is higher at 41.7 years, compared to 39.9 years in Pasadena.
- Pasadena has a higher median income of $97,818 compared to $56,875 in Enon valley.
- In Enon valley, the percentage of married families is higher at 50.0%, compared to 37.0% in Pasadena.
- Pasadena has a higher poverty level at 14% compared to 0% in Enon valley.
- The unemployment rate in Pasadena is higher at 5.3%, compared to 0.0% in Enon valley.
Demographics
Demographics Pasadena vs Enon valley provide insight into the diversity of the communities to compare.
Demographic | Pasadena | Enon valley |
---|---|---|
Black | 8 | Data is updating |
White | 24 | 74 |
Asian | 18 | 6 |
Hispanic | 36 | Data is updating |
Two or More Races | 13 | 20 |
American Indian | 1 | Data is updating |
Demographics Comparison: Pasadena vs Enon valley
- A higher percentage of Black residents are in Pasadena at 8% compared to 0% in Enon valley.
- The percentage of White residents is higher in Enon valley at 74% compared to 24% in Pasadena.
- The Asian population is larger in Pasadena at 18% compared to 6% in Enon valley.
- The Hispanic community is larger in Pasadena at 36% compared to 0% in Enon valley.
- The percentage of residents identifying as two or more races is higher in Enon valley at 20%, compared to 13% in Pasadena.
- A greater percentage of American Indian residents live in Pasadena at 1% compared to 0% in Enon valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pasadena | Enon valley |
---|---|---|
Mental Health Not Good | 14.2% | 17.0% |
Physical Health Not Good | 9.7% | 11.4% |
Depression | 15.4% | 23.6% |
Smoking | 9.3% | 19.6% |
Binge Drinking | 15.4% | 20.0% |
Obesity | 26.6% | 35.1% |
Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Pasadena vs Enon valley
- In Enon valley, a higher percentage report poor mental health at 17.0% compared to 14.2% in Pasadena.
- Higher depression rates are seen in Enon valley at 23.6% versus 15.4% in Pasadena.
- Enon valley has a higher smoking rate at 19.6% compared to 9.3% in Pasadena.
- More residents engage in binge drinking in Enon valley at 20.0% compared to 15.4% in Pasadena.
- Enon valley has higher obesity rates at 35.1% compared to 26.6% in Pasadena.
- There is a higher percentage of disabled individuals in Enon valley at 15.0% compared to 9.0% in Pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pasadena | Enon valley |
---|---|---|
No Schooling | 1.8% (2,430) | 0.0% (Data is updating) |
High School Diploma | 9.9% (13,275) | 21.4% (63) |
Less than High School | 15.0% (20,140) | 8.5% (25) |
Bachelor's Degree and Higher | 42.2% (56,583) | 14.2% (42) |
Education Levels Comparison: Pasadena vs Enon valley
- A higher percentage of residents in Pasadena have no formal schooling at 1.8% compared to 0.0% in Enon valley.
- In Enon valley, the rate of residents with high school diplomas is higher at 21.4% compared to 9.9% in Pasadena.
- More residents in Pasadena have less than a high school education at 15.0% compared to 8.5% in Enon valley.
- A higher percentage of residents in Pasadena hold a bachelor's degree or higher at 42.2% compared to 14.2% in Enon valley.
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.