Demographics details for Berlin, NJ vs Saucier, MS
Population Overview
Compare main population characteristics in Berlin, NJ vs Saucier, MS.
| Data | Berlin | Saucier |
|---|---|---|
| Population | 7,506 | 1,199 |
| Median Age | 40.4 years | 41.3 years |
| Median Income | $98,706 | $67,742 |
| Married Families | 37.0% | 32.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Berlin vs Saucier
- In Berlin, the population is higher at 7,506, compared to 1,199 in Saucier.
- The median age in Saucier is higher at 41.3 years, compared to 40.4 years in Berlin.
- Berlin has a higher median income of $98,706 compared to $67,742 in Saucier.
- A higher percentage of married families is found in Berlin at 37.0% compared to 32.0% in Saucier.
- The poverty level is higher in Saucier at 11%, compared to 5% in Berlin.
- Saucier has a higher unemployment rate at 4.2% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Saucier provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Saucier |
|---|---|---|
| Black | 12 | Data is updating |
| White | 76 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 6 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Saucier
- A higher percentage of Black residents are in Berlin at 12% compared to 0% in Saucier.
- The percentage of White residents is higher in Saucier at 100% compared to 76% in Berlin.
- The Asian population is larger in Berlin at 1% compared to 0% in Saucier.
- The Hispanic community is larger in Berlin at 5% compared to 0% in Saucier.
- More residents identify as two or more races in Berlin at 6% compared to 0% in Saucier.
- The percentage of American Indian residents is the same in both Berlin and Saucier at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Saucier |
|---|---|---|
| Mental Health Not Good | 15.9% | 18.0% |
| Physical Health Not Good | 9.9% | 12.6% |
| Depression | 23.8% | 25.6% |
| Smoking | 14.6% | 22.9% |
| Binge Drinking | 19.5% | 16.3% |
| Obesity | 28.0% | 34.0% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Berlin vs Saucier
- In Saucier, a higher percentage report poor mental health at 18.0% compared to 15.9% in Berlin.
- Higher depression rates are seen in Saucier at 25.6% versus 23.8% in Berlin.
- Saucier has a higher smoking rate at 22.9% compared to 14.6% in Berlin.
- Binge drinking is more common in Berlin at 19.5% compared to 16.3% in Saucier.
- Saucier has higher obesity rates at 34.0% compared to 28.0% in Berlin.
- There is a higher percentage of disabled individuals in Saucier at 15.0% 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 | Saucier |
|---|---|---|
| No Schooling | 0.4% (27) | 0.0% (Data is updating) |
| High School Diploma | 17.0% (1,279) | 29.9% (359) |
| Less than High School | 8.2% (612) | 6.3% (76) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 7.0% (84) |
Education Levels Comparison: Berlin vs Saucier
- A higher percentage of residents in Berlin have no formal schooling at 0.4% compared to 0.0% in Saucier.
- In Saucier, the rate of residents with high school diplomas is higher at 29.9% compared to 17.0% in Berlin.
- More residents in Berlin have less than a high school education at 8.2% compared to 6.3% in Saucier.
- A higher percentage of residents in Berlin hold a bachelor's degree or higher at 22.7% compared to 7.0% in Saucier.
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.