Demographics details for Berlin, NJ vs Ladson, SC
Population Overview
Compare main population characteristics in Berlin, NJ vs Ladson, SC.
| Data | Berlin | Ladson |
|---|---|---|
| Population | 7,506 | 15,298 |
| Median Age | 40.4 years | 34.7 years |
| Median Income | $98,706 | $74,020 |
| Married Families | 37.0% | 32.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Berlin vs Ladson
- The population in Ladson is higher at 15,298, compared to 7,506 in Berlin.
- Residents in Berlin have a higher median age of 40.4 years compared to 34.7 years in Ladson.
- Berlin has a higher median income of $98,706 compared to $74,020 in Ladson.
- A higher percentage of married families is found in Berlin at 37.0% compared to 32.0% in Ladson.
- The poverty level is higher in Ladson at 10%, compared to 5% in Berlin.
- Ladson has a higher unemployment rate at 3.5% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Ladson provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Ladson |
|---|---|---|
| Black | 12 | 29 |
| White | 76 | 49 |
| Asian | 1 | 4 |
| Hispanic | 5 | 9 |
| Two or More Races | 6 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Berlin vs Ladson
- In Ladson, the percentage of Black residents is higher at 29% compared to 12% in Berlin.
- Berlin has a higher percentage of White residents at 76% compared to 49% in Ladson.
- In Ladson, the Asian population stands at 4%, greater than 1% in Berlin.
- Ladson has a higher percentage of Hispanic residents at 9%, compared to 5% in Berlin.
- The percentage of residents identifying as two or more races is higher in Ladson at 8%, compared to 6% in Berlin.
- In Ladson, 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 | Ladson |
|---|---|---|
| Mental Health Not Good | 15.9% | 17.4% |
| Physical Health Not Good | 9.9% | 11.5% |
| Depression | 23.8% | 19.4% |
| Smoking | 14.6% | 17.1% |
| Binge Drinking | 19.5% | 19.4% |
| Obesity | 28.0% | 38.5% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Berlin vs Ladson
- In Ladson, a higher percentage report poor mental health at 17.4% compared to 15.9% in Berlin.
- Depression is more prevalent in Berlin at 23.8% compared to 19.4% in Ladson.
- Ladson has a higher smoking rate at 17.1% compared to 14.6% in Berlin.
- Binge drinking is more common in Berlin at 19.5% compared to 19.4% in Ladson.
- Ladson has higher obesity rates at 38.5% compared to 28.0% in Berlin.
- There is a higher percentage of disabled individuals in Ladson 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 | Ladson |
|---|---|---|
| No Schooling | 0.4% (27) | 0.7% (105) |
| High School Diploma | 17.0% (1,279) | 14.0% (2,141) |
| Less than High School | 8.2% (612) | 13.9% (2,130) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 13.5% (2,065) |
Education Levels Comparison: Berlin vs Ladson
- In Ladson, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in Berlin.
- A higher percentage of residents in Berlin hold a high school diploma at 17.0% compared to 14.0% in Ladson.
- The percentage of residents with less than a high school education is higher in Ladson at 13.9%, 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 13.5% in Ladson.
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.