Demographics details for Berlin, NJ vs Johnson city, TX
Population Overview
Compare main population characteristics in Berlin, NJ vs Johnson city, TX.
| Data | Berlin | Johnson city |
|---|---|---|
| Population | 7,506 | 1,826 |
| Median Age | 40.4 years | 43.5 years |
| Median Income | $98,706 | $45,160 |
| Married Families | 37.0% | 28.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Berlin vs Johnson city
- In Berlin, the population is higher at 7,506, compared to 1,826 in Johnson city.
- The median age in Johnson city is higher at 43.5 years, compared to 40.4 years in Berlin.
- Berlin has a higher median income of $98,706 compared to $45,160 in Johnson city.
- A higher percentage of married families is found in Berlin at 37.0% compared to 28.0% in Johnson city.
- Berlin has a higher poverty level at 5% compared to 0% in Johnson city.
- The unemployment rate is the same in both Berlin and Johnson city at 3.2%.
Demographics
Demographics Berlin vs Johnson city provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Johnson city |
|---|---|---|
| Black | 12 | 1 |
| White | 76 | 51 |
| Asian | 1 | 2 |
| Hispanic | 5 | 28 |
| Two or More Races | 6 | 18 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Johnson city
- A higher percentage of Black residents are in Berlin at 12% compared to 1% in Johnson city.
- Berlin has a higher percentage of White residents at 76% compared to 51% in Johnson city.
- In Johnson city, the Asian population stands at 2%, greater than 1% in Berlin.
- Johnson city has a higher percentage of Hispanic residents at 28%, compared to 5% in Berlin.
- The percentage of residents identifying as two or more races is higher in Johnson city at 18%, compared to 6% in Berlin.
- The percentage of American Indian residents is the same in both Berlin and Johnson city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Johnson city |
|---|---|---|
| Mental Health Not Good | 15.9% | 15.9% |
| Physical Health Not Good | 9.9% | 10.2% |
| Depression | 23.8% | 22.6% |
| Smoking | 14.6% | 14.2% |
| Binge Drinking | 19.5% | 20.0% |
| Obesity | 28.0% | 34.8% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Berlin vs Johnson city
- Poor mental health levels are equal in both Berlin and Johnson city at 15.9%.
- Depression is more prevalent in Berlin at 23.8% compared to 22.6% in Johnson city.
- Smoking is more prevalent in Berlin at 14.6% compared to 14.2% in Johnson city.
- More residents engage in binge drinking in Johnson city at 20.0% compared to 19.5% in Berlin.
- Johnson city has higher obesity rates at 34.8% compared to 28.0% in Berlin.
- There is a higher percentage of disabled individuals in Johnson city 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 | Johnson city |
|---|---|---|
| No Schooling | 0.4% (27) | 0.6% (11) |
| High School Diploma | 17.0% (1,279) | 14.7% (269) |
| Less than High School | 8.2% (612) | 22.7% (414) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 13.9% (254) |
Education Levels Comparison: Berlin vs Johnson city
- In Johnson city, a larger percentage of residents lack formal schooling at 0.6% compared to 0.4% in Berlin.
- A higher percentage of residents in Berlin hold a high school diploma at 17.0% compared to 14.7% in Johnson city.
- The percentage of residents with less than a high school education is higher in Johnson city at 22.7%, 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 13.9% in Johnson 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.