Demographics details for Falls, PA vs Newport beach, CA
Population Overview
Compare main population characteristics in Falls, PA vs Newport beach, CA.
| Data | Falls | Newport beach |
|---|---|---|
| Population | 1,699 | 83,993 |
| Median Age | 46.2 years | 46.7 years |
| Median Income | $70,950 | $149,471 |
| Married Families | 50.0% | 45.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Falls vs Newport beach
- The population in Newport beach is higher at 83,993, compared to 1,699 in Falls.
- The median age in Newport beach is higher at 46.7 years, compared to 46.2 years in Falls.
- Newport beach has a higher median income of $149,471, compared to $70,950 in Falls.
- A higher percentage of married families is found in Falls at 50.0% compared to 45.0% in Newport beach.
- The poverty level is higher in Newport beach at 6%, compared to 5% in Falls.
- Newport beach has a higher unemployment rate at 3.5% compared to 3.0% in Falls.
Demographics
Demographics Falls vs Newport beach provide insight into the diversity of the communities to compare.
| Demographic | Falls | Newport beach |
|---|---|---|
| Black | Data is updating | 1 |
| White | 98 | 71 |
| Asian | Data is updating | 8 |
| Hispanic | 1 | 11 |
| Two or More Races | 1 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Falls vs Newport beach
- In Newport beach, the percentage of Black residents is higher at 1% compared to 0% in Falls.
- Falls has a higher percentage of White residents at 98% compared to 71% in Newport beach.
- In Newport beach, the Asian population stands at 8%, greater than 0% in Falls.
- Newport beach has a higher percentage of Hispanic residents at 11%, compared to 1% in Falls.
- The percentage of residents identifying as two or more races is higher in Newport beach at 9%, compared to 1% in Falls.
- The percentage of American Indian residents is the same in both Falls and Newport beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falls | Newport beach |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.2% |
| Physical Health Not Good | Data is updating% | 7.5% |
| Depression | Data is updating% | 18.2% |
| Smoking | Data is updating% | 7.3% |
| Binge Drinking | Data is updating% | 18.7% |
| Obesity | Data is updating% | 23.5% |
| Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Falls vs Newport beach
- In Newport beach, a higher percentage report poor mental health at 13.2% compared to 0.0% in Falls.
- Higher depression rates are seen in Newport beach at 18.2% versus 0.0% in Falls.
- Newport beach has a higher smoking rate at 7.3% compared to 0.0% in Falls.
- More residents engage in binge drinking in Newport beach at 18.7% compared to 0.0% in Falls.
- Newport beach has higher obesity rates at 23.5% compared to 0.0% in Falls.
- Disability percentages are higher in Falls at 11.0% compared to 8.0% in Newport beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Falls | Newport beach |
|---|---|---|
| No Schooling | 0.3% (5) | 0.5% (429) |
| High School Diploma | 32.0% (544) | 5.1% (4,249) |
| Less than High School | 9.8% (166) | 3.7% (3,142) |
| Bachelor's Degree and Higher | 19.1% (324) | 53.0% (44,551) |
Education Levels Comparison: Falls vs Newport beach
- In Newport beach, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Falls.
- A higher percentage of residents in Falls hold a high school diploma at 32.0% compared to 5.1% in Newport beach.
- More residents in Falls have less than a high school education at 9.8% compared to 3.7% in Newport beach.
- In Newport beach, a larger share of residents have a bachelor's degree or higher at 53.0% compared to 19.1% in Falls.
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.