Demographics details for Centralia, WA vs Reading, PA
Population Overview
Compare main population characteristics in Centralia, WA vs Reading, PA.
| Data | Centralia | Reading |
|---|---|---|
| Population | 18,773 | 94,858 |
| Median Age | 38.5 years | 31.1 years |
| Median Income | $50,422 | $42,852 |
| Married Families | 28.0% | 22.0% |
| Poverty Level | 14% | 25% |
| Unemployment Rate | 5.4 | 5.2 |
Population Comparison: Centralia vs Reading
- The population in Reading is higher at 94,858, compared to 18,773 in Centralia.
- Residents in Centralia have a higher median age of 38.5 years compared to 31.1 years in Reading.
- Centralia has a higher median income of $50,422 compared to $42,852 in Reading.
- A higher percentage of married families is found in Centralia at 28.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 14% in Centralia.
- The unemployment rate in Centralia is higher at 5.4%, compared to 5.2% in Reading.
Demographics
Demographics Centralia vs Reading provide insight into the diversity of the communities to compare.
| Demographic | Centralia | Reading |
|---|---|---|
| Black | 1 | 11 |
| White | 70 | 60 |
| Asian | 1 | 1 |
| Hispanic | 17 | 67 |
| Two or More Races | 11 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Centralia vs Reading
- In Reading, the percentage of Black residents is higher at 11% compared to 1% in Centralia.
- Centralia has a higher percentage of White residents at 70% compared to 60% in Reading.
- Both Centralia and Reading have the same percentage of Asian residents at 1%.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 17% in Centralia.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 11% in Centralia.
- In Reading, the percentage of American Indian residents is higher at 1%, compared to 0% in Centralia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Centralia | Reading |
|---|---|---|
| Mental Health Not Good | 19.3% | 19.7% |
| Physical Health Not Good | 13.5% | 18.1% |
| Depression | 27.5% | 23.1% |
| Smoking | 19.2% | 26.5% |
| Binge Drinking | 15.9% | 13.0% |
| Obesity | 36.5% | 44.7% |
| Disability Percentage | 19.0% | 20.0% |
Health Statistics Comparison: Centralia vs Reading
- In Reading, a higher percentage report poor mental health at 19.7% compared to 19.3% in Centralia.
- Depression is more prevalent in Centralia at 27.5% compared to 23.1% in Reading.
- Reading has a higher smoking rate at 26.5% compared to 19.2% in Centralia.
- Binge drinking is more common in Centralia at 15.9% compared to 13.0% in Reading.
- Reading has higher obesity rates at 44.7% compared to 36.5% in Centralia.
- There is a higher percentage of disabled individuals in Reading at 20.0% compared to 19.0% in Centralia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Centralia | Reading |
|---|---|---|
| No Schooling | 1.1% (214) | 2.6% (2,442) |
| High School Diploma | 17.6% (3,312) | 17.8% (16,896) |
| Less than High School | 19.3% (3,617) | 32.2% (30,522) |
| Bachelor's Degree and Higher | 11.6% (2,187) | 6.9% (6,512) |
Education Levels Comparison: Centralia vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 1.1% in Centralia.
- In Reading, the rate of residents with high school diplomas is higher at 17.8% compared to 17.6% in Centralia.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 19.3% in Centralia.
- A higher percentage of residents in Centralia hold a bachelor's degree or higher at 11.6% 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.