Demographics details for Falls city, NE vs Berlin, NJ
Population Overview
Compare main population characteristics in Falls city, NE vs Berlin, NJ.
| Data | Falls city | Berlin |
|---|---|---|
| Population | 4,052 | 7,506 |
| Median Age | 40.6 years | 40.4 years |
| Median Income | $40,222 | $98,706 |
| Married Families | 38.0% | 37.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Falls city vs Berlin
- The population in Berlin is higher at 7,506, compared to 4,052 in Falls city.
- Residents in Falls city have a higher median age of 40.6 years compared to 40.4 years in Berlin.
- Berlin has a higher median income of $98,706, compared to $40,222 in Falls city.
- A higher percentage of married families is found in Falls city at 38.0% compared to 37.0% in Berlin.
- Falls city has a higher poverty level at 13% compared to 5% in Berlin.
- The unemployment rate in Falls city is higher at 3.5%, compared to 3.2% in Berlin.
Demographics
Demographics Falls city vs Berlin provide insight into the diversity of the communities to compare.
| Demographic | Falls city | Berlin |
|---|---|---|
| Black | 1 | 12 |
| White | 91 | 76 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 5 |
| Two or More Races | 5 | 6 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Falls city vs Berlin
- In Berlin, the percentage of Black residents is higher at 12% compared to 1% in Falls city.
- Falls city has a higher percentage of White residents at 91% compared to 76% in Berlin.
- In Berlin, the Asian population stands at 1%, greater than 0% in Falls city.
- Berlin has a higher percentage of Hispanic residents at 5%, compared to 0% in Falls city.
- The percentage of residents identifying as two or more races is higher in Berlin at 6%, compared to 5% in Falls city.
- A greater percentage of American Indian residents live in Falls city at 3% compared to 0% in Berlin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falls city | Berlin |
|---|---|---|
| Mental Health Not Good | 14.9% | 15.9% |
| Physical Health Not Good | 10.9% | 9.9% |
| Depression | 17.2% | 23.8% |
| Smoking | 19.3% | 14.6% |
| Binge Drinking | 20.4% | 19.5% |
| Obesity | 43.9% | 28.0% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Falls city vs Berlin
- In Berlin, a higher percentage report poor mental health at 15.9% compared to 14.9% in Falls city.
- Higher depression rates are seen in Berlin at 23.8% versus 17.2% in Falls city.
- Smoking is more prevalent in Falls city at 19.3% compared to 14.6% in Berlin.
- Binge drinking is more common in Falls city at 20.4% compared to 19.5% in Berlin.
- Obesity rates are higher in Falls city at 43.9% compared to 28.0% in Berlin.
- Disability percentages are higher in Falls city at 14.0% compared to 13.0% in Berlin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Falls city | Berlin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (27) |
| High School Diploma | 26.2% (1,063) | 17.0% (1,279) |
| Less than High School | 8.6% (349) | 8.2% (612) |
| Bachelor's Degree and Higher | 14.8% (598) | 22.7% (1,706) |
Education Levels Comparison: Falls city vs Berlin
- In Berlin, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Falls city.
- A higher percentage of residents in Falls city hold a high school diploma at 26.2% compared to 17.0% in Berlin.
- More residents in Falls city have less than a high school education at 8.6% compared to 8.2% in Berlin.
- In Berlin, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 14.8% in Falls 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.