Demographics details for Forrest city, AR vs East berlin, PA
Population Overview
Compare main population characteristics in Forrest city, AR vs East berlin, PA.
Data | Forrest city | East berlin |
---|---|---|
Population | 12,676 | 1,554 |
Median Age | 35.2 years | 41.9 years |
Median Income | $36,368 | $68,628 |
Married Families | 22.0% | 47.0% |
Poverty Level | 20% | 5% |
Unemployment Rate | 6.5 | 4.5 |
Population Comparison: Forrest city vs East berlin
- In Forrest city, the population is higher at 12,676, compared to 1,554 in East berlin.
- The median age in East berlin is higher at 41.9 years, compared to 35.2 years in Forrest city.
- East berlin has a higher median income of $68,628, compared to $36,368 in Forrest city.
- In East berlin, the percentage of married families is higher at 47.0%, compared to 22.0% in Forrest city.
- Forrest city has a higher poverty level at 20% compared to 5% in East berlin.
- The unemployment rate in Forrest city is higher at 6.5%, compared to 4.5% in East berlin.
Demographics
Demographics Forrest city vs East berlin provide insight into the diversity of the communities to compare.
Demographic | Forrest city | East berlin |
---|---|---|
Black | 73 | Data is updating |
White | 16 | 92 |
Asian | Data is updating | Data is updating |
Hispanic | 6 | 5 |
Two or More Races | 4 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Forrest city vs East berlin
- A higher percentage of Black residents are in Forrest city at 73% compared to 0% in East berlin.
- The percentage of White residents is higher in East berlin at 92% compared to 16% in Forrest city.
- Both Forrest city and East berlin have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Forrest city at 6% compared to 5% in East berlin.
- More residents identify as two or more races in Forrest city at 4% compared to 3% in East berlin.
- A greater percentage of American Indian residents live in Forrest city at 1% compared to 0% in East berlin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Forrest city | East berlin |
---|---|---|
Mental Health Not Good | 19.7% | 16.9% |
Physical Health Not Good | 16.5% | 11.1% |
Depression | 21.2% | 24.1% |
Smoking | 26.2% | 18.8% |
Binge Drinking | 12.5% | 19.2% |
Obesity | 49.7% | 36.9% |
Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Forrest city vs East berlin
- More residents in Forrest city report poor mental health at 19.7% compared to 16.9% in East berlin.
- Higher depression rates are seen in East berlin at 24.1% versus 21.2% in Forrest city.
- Smoking is more prevalent in Forrest city at 26.2% compared to 18.8% in East berlin.
- More residents engage in binge drinking in East berlin at 19.2% compared to 12.5% in Forrest city.
- Obesity rates are higher in Forrest city at 49.7% compared to 36.9% in East berlin.
- Disability percentages are higher in Forrest city at 15.0% 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 | Forrest city | East berlin |
---|---|---|
No Schooling | 0.8% (105) | 2.1% (32) |
High School Diploma | 21.3% (2,698) | 26.2% (407) |
Less than High School | 17.7% (2,241) | 16.5% (257) |
Bachelor's Degree and Higher | 8.9% (1,122) | 17.5% (272) |
Education Levels Comparison: Forrest city vs East berlin
- In East berlin, a larger percentage of residents lack formal schooling at 2.1% compared to 0.8% in Forrest city.
- In East berlin, the rate of residents with high school diplomas is higher at 26.2% compared to 21.3% in Forrest city.
- More residents in Forrest city have less than a high school education at 17.7% compared to 16.5% in East berlin.
- In East berlin, a larger share of residents have a bachelor's degree or higher at 17.5% compared to 8.9% in Forrest city.
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.