Demographics details for Berlin, NJ vs Duncanville, TX
Population Overview
Compare main population characteristics in Berlin, NJ vs Duncanville, TX.
| Data | Berlin | Duncanville |
|---|---|---|
| Population | 7,506 | 39,413 |
| Median Age | 40.4 years | 36.9 years |
| Median Income | $98,706 | $66,601 |
| Married Families | 37.0% | 36.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 3.2 | 4.7 |
Population Comparison: Berlin vs Duncanville
- The population in Duncanville is higher at 39,413, compared to 7,506 in Berlin.
- Residents in Berlin have a higher median age of 40.4 years compared to 36.9 years in Duncanville.
- Berlin has a higher median income of $98,706 compared to $66,601 in Duncanville.
- A higher percentage of married families is found in Berlin at 37.0% compared to 36.0% in Duncanville.
- The poverty level is higher in Duncanville at 13%, compared to 5% in Berlin.
- Duncanville has a higher unemployment rate at 4.7% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Duncanville provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Duncanville |
|---|---|---|
| Black | 12 | 33 |
| White | 76 | 10 |
| Asian | 1 | 2 |
| Hispanic | 5 | 43 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Berlin vs Duncanville
- In Duncanville, the percentage of Black residents is higher at 33% compared to 12% in Berlin.
- Berlin has a higher percentage of White residents at 76% compared to 10% in Duncanville.
- In Duncanville, the Asian population stands at 2%, greater than 1% in Berlin.
- Duncanville has a higher percentage of Hispanic residents at 43%, compared to 5% in Berlin.
- The percentage of residents identifying as two or more races is higher in Duncanville at 11%, compared to 6% in Berlin.
- In Duncanville, the percentage of American Indian residents is higher at 1%, compared to 0% in Berlin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Duncanville |
|---|---|---|
| Mental Health Not Good | 15.9% | 17.2% |
| Physical Health Not Good | 9.9% | 12.0% |
| Depression | 23.8% | 22.0% |
| Smoking | 14.6% | 16.9% |
| Binge Drinking | 19.5% | 17.6% |
| Obesity | 28.0% | 36.6% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Berlin vs Duncanville
- In Duncanville, a higher percentage report poor mental health at 17.2% compared to 15.9% in Berlin.
- Depression is more prevalent in Berlin at 23.8% compared to 22.0% in Duncanville.
- Duncanville has a higher smoking rate at 16.9% compared to 14.6% in Berlin.
- Binge drinking is more common in Berlin at 19.5% compared to 17.6% in Duncanville.
- Duncanville has higher obesity rates at 36.6% compared to 28.0% in Berlin.
- Disability percentages are higher in Berlin at 13.0% compared to 12.0% in Duncanville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berlin | Duncanville |
|---|---|---|
| No Schooling | 0.4% (27) | 2.6% (1,044) |
| High School Diploma | 17.0% (1,279) | 16.8% (6,623) |
| Less than High School | 8.2% (612) | 21.4% (8,451) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 15.8% (6,219) |
Education Levels Comparison: Berlin vs Duncanville
- In Duncanville, a larger percentage of residents lack formal schooling at 2.6% compared to 0.4% in Berlin.
- A higher percentage of residents in Berlin hold a high school diploma at 17.0% compared to 16.8% in Duncanville.
- The percentage of residents with less than a high school education is higher in Duncanville at 21.4%, compared to 8.2% in Berlin.
- A higher percentage of residents in Berlin hold a bachelor's degree or higher at 22.7% compared to 15.8% in Duncanville.
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.