Demographics details for Sublimity, OR vs Reading, PA
Population Overview
Compare main population characteristics in Sublimity, OR vs Reading, PA.
| Data | Sublimity | Reading |
|---|---|---|
| Population | 2,942 | 94,858 |
| Median Age | 51.8 years | 31.1 years |
| Median Income | $74,875 | $42,852 |
| Married Families | 46.0% | 22.0% |
| Poverty Level | 6% | 25% |
| Unemployment Rate | 3.2 | 5.2 |
Population Comparison: Sublimity vs Reading
- The population in Reading is higher at 94,858, compared to 2,942 in Sublimity.
- Residents in Sublimity have a higher median age of 51.8 years compared to 31.1 years in Reading.
- Sublimity has a higher median income of $74,875 compared to $42,852 in Reading.
- A higher percentage of married families is found in Sublimity at 46.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 6% in Sublimity.
- Reading has a higher unemployment rate at 5.2% compared to 3.2% in Sublimity.
Demographics
Demographics Sublimity vs Reading provide insight into the diversity of the communities to compare.
| Demographic | Sublimity | Reading |
|---|---|---|
| Black | Data is updating | 11 |
| White | 85 | 60 |
| Asian | 1 | 1 |
| Hispanic | 10 | 67 |
| Two or More Races | 4 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sublimity vs Reading
- In Reading, the percentage of Black residents is higher at 11% compared to 0% in Sublimity.
- Sublimity has a higher percentage of White residents at 85% compared to 60% in Reading.
- Both Sublimity and Reading have the same percentage of Asian residents at 1%.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 10% in Sublimity.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 4% in Sublimity.
- In Reading, the percentage of American Indian residents is higher at 1%, compared to 0% in Sublimity.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sublimity | Reading |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.7% |
| Physical Health Not Good | 11.1% | 18.1% |
| Depression | 29.6% | 23.1% |
| Smoking | 15.9% | 26.5% |
| Binge Drinking | 17.4% | 13.0% |
| Obesity | 34.8% | 44.7% |
| Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Sublimity vs Reading
- In Reading, a higher percentage report poor mental health at 19.7% compared to 18.3% in Sublimity.
- Depression is more prevalent in Sublimity at 29.6% compared to 23.1% in Reading.
- Reading has a higher smoking rate at 26.5% compared to 15.9% in Sublimity.
- Binge drinking is more common in Sublimity at 17.4% compared to 13.0% in Reading.
- Reading has higher obesity rates at 44.7% compared to 34.8% in Sublimity.
- There is a higher percentage of disabled individuals in Reading at 20.0% compared to 14.0% in Sublimity.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sublimity | Reading |
|---|---|---|
| No Schooling | 1.4% (42) | 2.6% (2,442) |
| High School Diploma | 17.2% (507) | 17.8% (16,896) |
| Less than High School | 9.2% (272) | 32.2% (30,522) |
| Bachelor's Degree and Higher | 23.6% (695) | 6.9% (6,512) |
Education Levels Comparison: Sublimity vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 1.4% in Sublimity.
- In Reading, the rate of residents with high school diplomas is higher at 17.8% compared to 17.2% in Sublimity.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 9.2% in Sublimity.
- A higher percentage of residents in Sublimity hold a bachelor's degree or higher at 23.6% 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.