Demographics details for East berlin, PA vs Molino, FL
Population Overview
Compare main population characteristics in East berlin, PA vs Molino, FL.
Data | East berlin | Molino |
---|---|---|
Population | 1,554 | 1,253 |
Median Age | 41.9 years | 35.9 years |
Median Income | $68,628 | $87,614 |
Married Families | 47.0% | 50.0% |
Poverty Level | 5% | 13% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: East berlin vs Molino
- In East berlin, the population is higher at 1,554, compared to 1,253 in Molino.
- Residents in East berlin have a higher median age of 41.9 years compared to 35.9 years in Molino.
- Molino has a higher median income of $87,614, compared to $68,628 in East berlin.
- In Molino, the percentage of married families is higher at 50.0%, compared to 47.0% in East berlin.
- The poverty level is higher in Molino at 13%, compared to 5% in East berlin.
- The unemployment rate in East berlin is higher at 4.5%, compared to 3.5% in Molino.
Demographics
Demographics East berlin vs Molino provide insight into the diversity of the communities to compare.
Demographic | East berlin | Molino |
---|---|---|
Black | Data is updating | 13 |
White | 92 | 54 |
Asian | Data is updating | Data is updating |
Hispanic | 5 | 12 |
Two or More Races | 3 | 20 |
American Indian | Data is updating | 1 |
Demographics Comparison: East berlin vs Molino
- In Molino, the percentage of Black residents is higher at 13% compared to 0% in East berlin.
- East berlin has a higher percentage of White residents at 92% compared to 54% in Molino.
- Both East berlin and Molino have the same percentage of Asian residents at 0%.
- Molino has a higher percentage of Hispanic residents at 12%, compared to 5% in East berlin.
- The percentage of residents identifying as two or more races is higher in Molino at 20%, compared to 3% in East berlin.
- In Molino, the percentage of American Indian residents is higher at 1%, compared to 0% in East berlin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | East berlin | Molino |
---|---|---|
Mental Health Not Good | 16.9% | 17.1% |
Physical Health Not Good | 11.1% | 11.5% |
Depression | 24.1% | 22.4% |
Smoking | 18.8% | 21.3% |
Binge Drinking | 19.2% | 15.8% |
Obesity | 36.9% | 34.8% |
Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: East berlin vs Molino
- In Molino, a higher percentage report poor mental health at 17.1% compared to 16.9% in East berlin.
- Depression is more prevalent in East berlin at 24.1% compared to 22.4% in Molino.
- Molino has a higher smoking rate at 21.3% compared to 18.8% in East berlin.
- Binge drinking is more common in East berlin at 19.2% compared to 15.8% in Molino.
- Obesity rates are higher in East berlin at 36.9% compared to 34.8% in Molino.
- Disability percentages are the same in both East berlin and Molino at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | East berlin | Molino |
---|---|---|
No Schooling | 2.1% (32) | 0.0% (Data is updating) |
High School Diploma | 26.2% (407) | 21.4% (268) |
Less than High School | 16.5% (257) | 6.7% (84) |
Bachelor's Degree and Higher | 17.5% (272) | 11.7% (147) |
Education Levels Comparison: East berlin vs Molino
- A higher percentage of residents in East berlin have no formal schooling at 2.1% compared to 0.0% in Molino.
- A higher percentage of residents in East berlin hold a high school diploma at 26.2% compared to 21.4% in Molino.
- More residents in East berlin have less than a high school education at 16.5% compared to 6.7% in Molino.
- A higher percentage of residents in East berlin hold a bachelor's degree or higher at 17.5% compared to 11.7% in Molino.
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.