Demographics details for Irvine, CA vs Roaring spring, PA
Population Overview
Compare main population characteristics in Irvine, CA vs Roaring spring, PA.
| Data | Irvine | Roaring spring |
|---|---|---|
| Population | 313,685 | 2,333 |
| Median Age | 33.8 years | 36.1 years |
| Median Income | $122,948 | $63,194 |
| Married Families | 39.0% | 43.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Irvine vs Roaring spring
- In Irvine, the population is higher at 313,685, compared to 2,333 in Roaring spring.
- The median age in Roaring spring is higher at 36.1 years, compared to 33.8 years in Irvine.
- Irvine has a higher median income of $122,948 compared to $63,194 in Roaring spring.
- In Roaring spring, the percentage of married families is higher at 43.0%, compared to 39.0% in Irvine.
- The poverty level is higher in Roaring spring at 10%, compared to 6% in Irvine.
- Roaring spring has a higher unemployment rate at 5.0% compared to 4.2% in Irvine.
Demographics
Demographics Irvine vs Roaring spring provide insight into the diversity of the communities to compare.
| Demographic | Irvine | Roaring spring |
|---|---|---|
| Black | 2 | 1 |
| White | 34 | 91 |
| Asian | 43 | Data is updating |
| Hispanic | 11 | 3 |
| Two or More Races | 10 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Irvine vs Roaring spring
- A higher percentage of Black residents are in Irvine at 2% compared to 1% in Roaring spring.
- The percentage of White residents is higher in Roaring spring at 91% compared to 34% in Irvine.
- The Asian population is larger in Irvine at 43% compared to 0% in Roaring spring.
- The Hispanic community is larger in Irvine at 11% compared to 3% in Roaring spring.
- More residents identify as two or more races in Irvine at 10% compared to 5% in Roaring spring.
- The percentage of American Indian residents is the same in both Irvine and Roaring spring at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Irvine | Roaring spring |
|---|---|---|
| Mental Health Not Good | 12.7% | 18.2% |
| Physical Health Not Good | 7.7% | 12.2% |
| Depression | 15.4% | 25.5% |
| Smoking | 7.5% | 21.4% |
| Binge Drinking | 14.9% | 18.5% |
| Obesity | 21.0% | 34.7% |
| Disability Percentage | 5.0% | 14.0% |
Health Statistics Comparison: Irvine vs Roaring spring
- In Roaring spring, a higher percentage report poor mental health at 18.2% compared to 12.7% in Irvine.
- Higher depression rates are seen in Roaring spring at 25.5% versus 15.4% in Irvine.
- Roaring spring has a higher smoking rate at 21.4% compared to 7.5% in Irvine.
- More residents engage in binge drinking in Roaring spring at 18.5% compared to 14.9% in Irvine.
- Roaring spring has higher obesity rates at 34.7% compared to 21.0% in Irvine.
- There is a higher percentage of disabled individuals in Roaring spring at 14.0% compared to 5.0% in Irvine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Irvine | Roaring spring |
|---|---|---|
| No Schooling | 0.8% (2,579) | 0.4% (9) |
| High School Diploma | 3.8% (12,010) | 25.9% (605) |
| Less than High School | 3.4% (10,664) | 7.2% (168) |
| Bachelor's Degree and Higher | 44.3% (138,926) | 13.5% (316) |
Education Levels Comparison: Irvine vs Roaring spring
- A higher percentage of residents in Irvine have no formal schooling at 0.8% compared to 0.4% in Roaring spring.
- In Roaring spring, the rate of residents with high school diplomas is higher at 25.9% compared to 3.8% in Irvine.
- The percentage of residents with less than a high school education is higher in Roaring spring at 7.2%, compared to 3.4% in Irvine.
- A higher percentage of residents in Irvine hold a bachelor's degree or higher at 44.3% compared to 13.5% in Roaring spring.
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.