Demographics details for Redding, CA vs East berlin, PA
Population Overview
Compare main population characteristics in Redding, CA vs East berlin, PA.
| Data | Redding | East berlin |
|---|---|---|
| Population | 92,906 | 1,554 |
| Median Age | 38.8 years | 41.9 years |
| Median Income | $67,323 | $68,628 |
| Married Families | 36.0% | 47.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Redding vs East berlin
- In Redding, the population is higher at 92,906, compared to 1,554 in East berlin.
- The median age in East berlin is higher at 41.9 years, compared to 38.8 years in Redding.
- East berlin has a higher median income of $68,628, compared to $67,323 in Redding.
- In East berlin, the percentage of married families is higher at 47.0%, compared to 36.0% in Redding.
- Redding has a higher poverty level at 13% compared to 5% in East berlin.
- The unemployment rate in Redding is higher at 5.0%, compared to 4.5% in East berlin.
Demographics
Demographics Redding vs East berlin provide insight into the diversity of the communities to compare.
| Demographic | Redding | East berlin |
|---|---|---|
| Black | 1 | Data is updating |
| White | 71 | 92 |
| Asian | 4 | Data is updating |
| Hispanic | 12 | 5 |
| Two or More Races | 10 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Redding vs East berlin
- A higher percentage of Black residents are in Redding at 1% compared to 0% in East berlin.
- The percentage of White residents is higher in East berlin at 92% compared to 71% in Redding.
- The Asian population is larger in Redding at 4% compared to 0% in East berlin.
- The Hispanic community is larger in Redding at 12% compared to 5% in East berlin.
- More residents identify as two or more races in Redding at 10% compared to 3% in East berlin.
- A greater percentage of American Indian residents live in Redding at 2% compared to 0% in East berlin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Redding | East berlin |
|---|---|---|
| Mental Health Not Good | 18.2% | 16.9% |
| Physical Health Not Good | 11.9% | 11.1% |
| Depression | 22.1% | 24.1% |
| Smoking | 15.0% | 18.8% |
| Binge Drinking | 17.6% | 19.2% |
| Obesity | 30.9% | 36.9% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Redding vs East berlin
- More residents in Redding report poor mental health at 18.2% compared to 16.9% in East berlin.
- Higher depression rates are seen in East berlin at 24.1% versus 22.1% in Redding.
- East berlin has a higher smoking rate at 18.8% compared to 15.0% in Redding.
- More residents engage in binge drinking in East berlin at 19.2% compared to 17.6% in Redding.
- East berlin has higher obesity rates at 36.9% compared to 30.9% in Redding.
- Disability percentages are higher in Redding at 17.0% compared to 12.0% in East berlin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Redding | East berlin |
|---|---|---|
| No Schooling | 0.6% (581) | 2.1% (32) |
| High School Diploma | 14.2% (13,235) | 26.2% (407) |
| Less than High School | 9.2% (8,540) | 16.5% (257) |
| Bachelor's Degree and Higher | 18.3% (16,986) | 17.5% (272) |
Education Levels Comparison: Redding vs East berlin
- In East berlin, a larger percentage of residents lack formal schooling at 2.1% compared to 0.6% in Redding.
- In East berlin, the rate of residents with high school diplomas is higher at 26.2% compared to 14.2% in Redding.
- The percentage of residents with less than a high school education is higher in East berlin at 16.5%, compared to 9.2% in Redding.
- A higher percentage of residents in Redding hold a bachelor's degree or higher at 18.3% compared to 17.5% in East berlin.
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.