Demographics details for East berlin, PA vs Oologah, OK
Population Overview
Compare main population characteristics in East berlin, PA vs Oologah, OK.
| Data | East berlin | Oologah |
|---|---|---|
| Population | 1,554 | 1,314 |
| Median Age | 41.9 years | 33.1 years |
| Median Income | $68,628 | $82,531 |
| Married Families | 47.0% | 47.0% |
| Poverty Level | 5% | 7% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: East berlin vs Oologah
- In East berlin, the population is higher at 1,554, compared to 1,314 in Oologah.
- Residents in East berlin have a higher median age of 41.9 years compared to 33.1 years in Oologah.
- Oologah has a higher median income of $82,531, compared to $68,628 in East berlin.
- The percentage of married families is the same in both East berlin and Oologah at 47.0%.
- The poverty level is higher in Oologah at 7%, compared to 5% in East berlin.
- The unemployment rate in East berlin is higher at 4.5%, compared to 3.5% in Oologah.
Demographics
Demographics East berlin vs Oologah provide insight into the diversity of the communities to compare.
| Demographic | East berlin | Oologah |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 92 | 55 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 3 |
| Two or More Races | 3 | 17 |
| American Indian | Data is updating | 24 |
Demographics Comparison: East berlin vs Oologah
- The percentage of Black residents is the same in both East berlin and Oologah at 0%.
- East berlin has a higher percentage of White residents at 92% compared to 55% in Oologah.
- In Oologah, the Asian population stands at 1%, greater than 0% in East berlin.
- The Hispanic community is larger in East berlin at 5% compared to 3% in Oologah.
- The percentage of residents identifying as two or more races is higher in Oologah at 17%, compared to 3% in East berlin.
- In Oologah, the percentage of American Indian residents is higher at 24%, compared to 0% in East berlin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | East berlin | Oologah |
|---|---|---|
| Mental Health Not Good | 16.9% | 18.4% |
| Physical Health Not Good | 11.1% | 12.0% |
| Depression | 24.1% | 25.1% |
| Smoking | 18.8% | 19.1% |
| Binge Drinking | 19.2% | 15.5% |
| Obesity | 36.9% | 43.4% |
| Disability Percentage | 12.0% | 29.0% |
Health Statistics Comparison: East berlin vs Oologah
- In Oologah, a higher percentage report poor mental health at 18.4% compared to 16.9% in East berlin.
- Higher depression rates are seen in Oologah at 25.1% versus 24.1% in East berlin.
- Oologah has a higher smoking rate at 19.1% compared to 18.8% in East berlin.
- Binge drinking is more common in East berlin at 19.2% compared to 15.5% in Oologah.
- Oologah has higher obesity rates at 43.4% compared to 36.9% in East berlin.
- There is a higher percentage of disabled individuals in Oologah at 29.0% 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 | East berlin | Oologah |
|---|---|---|
| No Schooling | 2.1% (32) | 0.4% (5) |
| High School Diploma | 26.2% (407) | 22.6% (297) |
| Less than High School | 16.5% (257) | 14.5% (190) |
| Bachelor's Degree and Higher | 17.5% (272) | 13.8% (181) |
Education Levels Comparison: East berlin vs Oologah
- A higher percentage of residents in East berlin have no formal schooling at 2.1% compared to 0.4% in Oologah.
- A higher percentage of residents in East berlin hold a high school diploma at 26.2% compared to 22.6% in Oologah.
- More residents in East berlin have less than a high school education at 16.5% compared to 14.5% in Oologah.
- A higher percentage of residents in East berlin hold a bachelor's degree or higher at 17.5% compared to 13.8% in Oologah.
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.