Demographics details for Berlin, NJ vs Dadeville, AL
Population Overview
Compare main population characteristics in Berlin, NJ vs Dadeville, AL.
| Data | Berlin | Dadeville |
|---|---|---|
| Population | 7,506 | 3,001 |
| Median Age | 40.4 years | 42.8 years |
| Median Income | $98,706 | $46,477 |
| Married Families | 37.0% | 36.0% |
| Poverty Level | 5% | 14% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Berlin vs Dadeville
- In Berlin, the population is higher at 7,506, compared to 3,001 in Dadeville.
- The median age in Dadeville is higher at 42.8 years, compared to 40.4 years in Berlin.
- Berlin has a higher median income of $98,706 compared to $46,477 in Dadeville.
- A higher percentage of married families is found in Berlin at 37.0% compared to 36.0% in Dadeville.
- The poverty level is higher in Dadeville at 14%, compared to 5% in Berlin.
- Dadeville has a higher unemployment rate at 4.5% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Dadeville provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Dadeville |
|---|---|---|
| Black | 12 | 35 |
| White | 76 | 64 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 6 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Dadeville
- In Dadeville, the percentage of Black residents is higher at 35% compared to 12% in Berlin.
- Berlin has a higher percentage of White residents at 76% compared to 64% in Dadeville.
- The Asian population is larger in Berlin at 1% compared to 0% in Dadeville.
- The Hispanic community is larger in Berlin at 5% compared to 0% in Dadeville.
- More residents identify as two or more races in Berlin at 6% compared to 1% in Dadeville.
- The percentage of American Indian residents is the same in both Berlin and Dadeville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Dadeville |
|---|---|---|
| Mental Health Not Good | 15.9% | 21.6% |
| Physical Health Not Good | 9.9% | 16.7% |
| Depression | 23.8% | 23.9% |
| Smoking | 14.6% | 26.5% |
| Binge Drinking | 19.5% | 12.7% |
| Obesity | 28.0% | 46.8% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Berlin vs Dadeville
- In Dadeville, a higher percentage report poor mental health at 21.6% compared to 15.9% in Berlin.
- Higher depression rates are seen in Dadeville at 23.9% versus 23.8% in Berlin.
- Dadeville has a higher smoking rate at 26.5% compared to 14.6% in Berlin.
- Binge drinking is more common in Berlin at 19.5% compared to 12.7% in Dadeville.
- Dadeville has higher obesity rates at 46.8% compared to 28.0% in Berlin.
- There is a higher percentage of disabled individuals in Dadeville at 16.0% 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 | Berlin | Dadeville |
|---|---|---|
| No Schooling | 0.4% (27) | 1.1% (32) |
| High School Diploma | 17.0% (1,279) | 21.6% (647) |
| Less than High School | 8.2% (612) | 31.9% (956) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 9.3% (279) |
Education Levels Comparison: Berlin vs Dadeville
- In Dadeville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Berlin.
- In Dadeville, the rate of residents with high school diplomas is higher at 21.6% compared to 17.0% in Berlin.
- The percentage of residents with less than a high school education is higher in Dadeville at 31.9%, 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 9.3% in Dadeville.
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.