Demographics details for Bern, KS vs Stephens city, VA
Population Overview
Compare main population characteristics in Bern, KS vs Stephens city, VA.
| Data | Bern | Stephens city |
|---|---|---|
| Population | 161 | 2,096 |
| Median Age | 50.9 years | 34.1 years |
| Median Income | $61,250 | $90,588 |
| Married Families | 38.0% | 38.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Bern vs Stephens city
- The population in Stephens city is higher at 2,096, compared to 161 in Bern.
- Residents in Bern have a higher median age of 50.9 years compared to 34.1 years in Stephens city.
- Stephens city has a higher median income of $90,588, compared to $61,250 in Bern.
- The percentage of married families is the same in both Bern and Stephens city at 38.0%.
- Bern has a higher poverty level at 9% compared to 5% in Stephens city.
- The unemployment rate is the same in both Bern and Stephens city at 3.5%.
Demographics
Demographics Bern vs Stephens city provide insight into the diversity of the communities to compare.
| Demographic | Bern | Stephens city |
|---|---|---|
| Black | Data is updating | 8 |
| White | 91 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 25 |
| Two or More Races | 9 | 16 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bern vs Stephens city
- In Stephens city, the percentage of Black residents is higher at 8% compared to 0% in Bern.
- Bern has a higher percentage of White residents at 91% compared to 50% in Stephens city.
- In Stephens city, the Asian population stands at 1%, greater than 0% in Bern.
- Stephens city has a higher percentage of Hispanic residents at 25%, compared to 0% in Bern.
- The percentage of residents identifying as two or more races is higher in Stephens city at 16%, compared to 9% in Bern.
- The percentage of American Indian residents is the same in both Bern and Stephens city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bern | Stephens city |
|---|---|---|
| Mental Health Not Good | 15.2% | 15.8% |
| Physical Health Not Good | 10.2% | 9.7% |
| Depression | 19.1% | 23.1% |
| Smoking | 17.9% | 14.7% |
| Binge Drinking | 20.1% | 18.6% |
| Obesity | 39.2% | 32.8% |
| Disability Percentage | 7.0% | 12.0% |
Health Statistics Comparison: Bern vs Stephens city
- In Stephens city, a higher percentage report poor mental health at 15.8% compared to 15.2% in Bern.
- Higher depression rates are seen in Stephens city at 23.1% versus 19.1% in Bern.
- Smoking is more prevalent in Bern at 17.9% compared to 14.7% in Stephens city.
- Binge drinking is more common in Bern at 20.1% compared to 18.6% in Stephens city.
- Obesity rates are higher in Bern at 39.2% compared to 32.8% in Stephens city.
- There is a higher percentage of disabled individuals in Stephens city at 12.0% compared to 7.0% in Bern.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bern | Stephens city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.1% (3) |
| High School Diploma | 19.3% (31) | 13.2% (276) |
| Less than High School | 9.9% (16) | 13.5% (282) |
| Bachelor's Degree and Higher | 20.5% (33) | 19.3% (405) |
Education Levels Comparison: Bern vs Stephens city
- In Stephens city, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Bern.
- A higher percentage of residents in Bern hold a high school diploma at 19.3% compared to 13.2% in Stephens city.
- The percentage of residents with less than a high school education is higher in Stephens city at 13.5%, compared to 9.9% in Bern.
- A higher percentage of residents in Bern hold a bachelor's degree or higher at 20.5% compared to 19.3% in Stephens 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.