Demographics details for Culver city, CA vs Reading, PA
Population Overview
Compare main population characteristics in Culver city, CA vs Reading, PA.
| Data | Culver city | Reading |
|---|---|---|
| Population | 39,515 | 94,858 |
| Median Age | 41.5 years | 31.1 years |
| Median Income | $114,429 | $42,852 |
| Married Families | 43.0% | 22.0% |
| Poverty Level | 9% | 25% |
| Unemployment Rate | 5.8 | 5.2 |
Population Comparison: Culver city vs Reading
- The population in Reading is higher at 94,858, compared to 39,515 in Culver city.
- Residents in Culver city have a higher median age of 41.5 years compared to 31.1 years in Reading.
- Culver city has a higher median income of $114,429 compared to $42,852 in Reading.
- A higher percentage of married families is found in Culver city at 43.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 9% in Culver city.
- The unemployment rate in Culver city is higher at 5.8%, compared to 5.2% in Reading.
Demographics
Demographics Culver city vs Reading provide insight into the diversity of the communities to compare.
| Demographic | Culver city | Reading |
|---|---|---|
| Black | 8 | 11 |
| White | 38 | 60 |
| Asian | 18 | 1 |
| Hispanic | 21 | 67 |
| Two or More Races | 15 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Culver city vs Reading
- In Reading, the percentage of Black residents is higher at 11% compared to 8% in Culver city.
- The percentage of White residents is higher in Reading at 60% compared to 38% in Culver city.
- The Asian population is larger in Culver city at 18% compared to 1% in Reading.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 21% in Culver city.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 15% in Culver city.
- In Reading, the percentage of American Indian residents is higher at 1%, compared to 0% in Culver city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Culver city | Reading |
|---|---|---|
| Mental Health Not Good | 13.1% | 19.7% |
| Physical Health Not Good | 8.1% | 18.1% |
| Depression | 15.2% | 23.1% |
| Smoking | 7.5% | 26.5% |
| Binge Drinking | 16.5% | 13.0% |
| Obesity | 24.1% | 44.7% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Culver city vs Reading
- In Reading, a higher percentage report poor mental health at 19.7% compared to 13.1% in Culver city.
- Higher depression rates are seen in Reading at 23.1% versus 15.2% in Culver city.
- Reading has a higher smoking rate at 26.5% compared to 7.5% in Culver city.
- Binge drinking is more common in Culver city at 16.5% compared to 13.0% in Reading.
- Reading has higher obesity rates at 44.7% compared to 24.1% in Culver city.
- There is a higher percentage of disabled individuals in Reading at 20.0% compared to 9.0% in Culver city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Culver city | Reading |
|---|---|---|
| No Schooling | 1.3% (501) | 2.6% (2,442) |
| High School Diploma | 7.6% (3,000) | 17.8% (16,896) |
| Less than High School | 9.1% (3,605) | 32.2% (30,522) |
| Bachelor's Degree and Higher | 49.0% (19,344) | 6.9% (6,512) |
Education Levels Comparison: Culver city vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 1.3% in Culver city.
- In Reading, the rate of residents with high school diplomas is higher at 17.8% compared to 7.6% in Culver city.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 9.1% in Culver city.
- A higher percentage of residents in Culver city hold a bachelor's degree or higher at 49.0% 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.