Demographics details for Princeton, LA vs Bern, KS
Population Overview
Compare main population characteristics in Princeton, LA vs Bern, KS.
| Data | Princeton | Bern |
|---|---|---|
| Population | 1,554 | 161 |
| Median Age | 36.0 years | 50.9 years |
| Median Income | $48,500 | $61,250 |
| Married Families | 52.0% | 38.0% |
| Poverty Level | 15% | 9% |
| Unemployment Rate | 6.0 | 3.5 |
Population Comparison: Princeton vs Bern
- In Princeton, the population is higher at 1,554, compared to 161 in Bern.
- The median age in Bern is higher at 50.9 years, compared to 36.0 years in Princeton.
- Bern has a higher median income of $61,250, compared to $48,500 in Princeton.
- A higher percentage of married families is found in Princeton at 52.0% compared to 38.0% in Bern.
- Princeton has a higher poverty level at 15% compared to 9% in Bern.
- The unemployment rate in Princeton is higher at 6.0%, compared to 3.5% in Bern.
Demographics
Demographics Princeton vs Bern provide insight into the diversity of the communities to compare.
| Demographic | Princeton | Bern |
|---|---|---|
| Black | 50 | Data is updating |
| White | 48 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | Data is updating | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Princeton vs Bern
- A higher percentage of Black residents are in Princeton at 50% compared to 0% in Bern.
- The percentage of White residents is higher in Bern at 91% compared to 48% in Princeton.
- Both Princeton and Bern have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Princeton at 2% compared to 0% in Bern.
- The percentage of residents identifying as two or more races is higher in Bern at 9%, compared to 0% in Princeton.
- The percentage of American Indian residents is the same in both Princeton and Bern at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Princeton | Bern |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.2% |
| Physical Health Not Good | Data is updating% | 10.2% |
| Depression | Data is updating% | 19.1% |
| Smoking | Data is updating% | 17.9% |
| Binge Drinking | Data is updating% | 20.1% |
| Obesity | Data is updating% | 39.2% |
| Disability Percentage | Data is updating% | 7.0% |
Health Statistics Comparison: Princeton vs Bern
- In Bern, a higher percentage report poor mental health at 15.2% compared to 0.0% in Princeton.
- Higher depression rates are seen in Bern at 19.1% versus 0.0% in Princeton.
- Bern has a higher smoking rate at 17.9% compared to 0.0% in Princeton.
- More residents engage in binge drinking in Bern at 20.1% compared to 0.0% in Princeton.
- Bern has higher obesity rates at 39.2% compared to 0.0% in Princeton.
- There is a higher percentage of disabled individuals in Bern at 7.0% compared to 0.0% in Princeton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Princeton | Bern |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 19.3% (31) |
| Less than High School | 0.0% (Data is updating) | 9.9% (16) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 20.5% (33) |
Education Levels Comparison: Princeton vs Bern
- The percentage of residents with no formal schooling is the same in both Princeton and Bern at 0.0%.
- In Bern, the rate of residents with high school diplomas is higher at 19.3% compared to 0.0% in Princeton.
- The percentage of residents with less than a high school education is higher in Bern at 9.9%, compared to 0.0% in Princeton.
- In Bern, a larger share of residents have a bachelor's degree or higher at 20.5% compared to 0.0% in Princeton.
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.