Demographics details for Rio linda, CA vs Reading, PA
Population Overview
Compare main population characteristics in Rio linda, CA vs Reading, PA.
| Data | Rio linda | Reading |
|---|---|---|
| Population | 16,596 | 94,858 |
| Median Age | 36.7 years | 31.1 years |
| Median Income | $88,102 | $42,852 |
| Married Families | 41.0% | 22.0% |
| Poverty Level | 12% | 25% |
| Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Rio linda vs Reading
- The population in Reading is higher at 94,858, compared to 16,596 in Rio linda.
- Residents in Rio linda have a higher median age of 36.7 years compared to 31.1 years in Reading.
- Rio linda has a higher median income of $88,102 compared to $42,852 in Reading.
- A higher percentage of married families is found in Rio linda at 41.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 12% in Rio linda.
- Reading has a higher unemployment rate at 5.2% compared to 4.5% in Rio linda.
Demographics
Demographics Rio linda vs Reading provide insight into the diversity of the communities to compare.
| Demographic | Rio linda | Reading |
|---|---|---|
| Black | 3 | 11 |
| White | 60 | 60 |
| Asian | 7 | 1 |
| Hispanic | 23 | 67 |
| Two or More Races | 7 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Rio linda vs Reading
- In Reading, the percentage of Black residents is higher at 11% compared to 3% in Rio linda.
- The percentage of White residents is the same in both Rio linda and Reading at 60%.
- The Asian population is larger in Rio linda at 7% compared to 1% in Reading.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 23% in Rio linda.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 7% in Rio linda.
- In Reading, the percentage of American Indian residents is higher at 1%, compared to 0% in Rio linda.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rio linda | Reading |
|---|---|---|
| Mental Health Not Good | 18.2% | 19.7% |
| Physical Health Not Good | 12.2% | 18.1% |
| Depression | 21.4% | 23.1% |
| Smoking | 15.8% | 26.5% |
| Binge Drinking | 16.9% | 13.0% |
| Obesity | 33.7% | 44.7% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: Rio linda vs Reading
- In Reading, a higher percentage report poor mental health at 19.7% compared to 18.2% in Rio linda.
- Higher depression rates are seen in Reading at 23.1% versus 21.4% in Rio linda.
- Reading has a higher smoking rate at 26.5% compared to 15.8% in Rio linda.
- Binge drinking is more common in Rio linda at 16.9% compared to 13.0% in Reading.
- Reading has higher obesity rates at 44.7% compared to 33.7% in Rio linda.
- There is a higher percentage of disabled individuals in Reading at 20.0% compared to 11.0% in Rio linda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rio linda | Reading |
|---|---|---|
| No Schooling | 1.3% (219) | 2.6% (2,442) |
| High School Diploma | 25.4% (4,218) | 17.8% (16,896) |
| Less than High School | 14.9% (2,471) | 32.2% (30,522) |
| Bachelor's Degree and Higher | 9.2% (1,529) | 6.9% (6,512) |
Education Levels Comparison: Rio linda vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 1.3% in Rio linda.
- A higher percentage of residents in Rio linda hold a high school diploma at 25.4% compared to 17.8% in Reading.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 14.9% in Rio linda.
- A higher percentage of residents in Rio linda hold a bachelor's degree or higher at 9.2% compared to 6.9% in Reading.
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.