Demographics details for Princeton, KY vs Whitehall, WI
Population Overview
Compare main population characteristics in Princeton, KY vs Whitehall, WI.
| Data | Princeton | Whitehall |
|---|---|---|
| Population | 6,210 | 1,632 |
| Median Age | 40.4 years | 36.8 years |
| Median Income | $46,317 | $56,894 |
| Married Families | 31.0% | 30.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 4.2 | 3.6 |
Population Comparison: Princeton vs Whitehall
- In Princeton, the population is higher at 6,210, compared to 1,632 in Whitehall.
- Residents in Princeton have a higher median age of 40.4 years compared to 36.8 years in Whitehall.
- Whitehall has a higher median income of $56,894, compared to $46,317 in Princeton.
- A higher percentage of married families is found in Princeton at 31.0% compared to 30.0% in Whitehall.
- Princeton has a higher poverty level at 12% compared to 7% in Whitehall.
- The unemployment rate in Princeton is higher at 4.2%, compared to 3.6% in Whitehall.
Demographics
Demographics Princeton vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Princeton | Whitehall |
|---|---|---|
| Black | 12 | 1 |
| White | 82 | 83 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 12 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Princeton vs Whitehall
- A higher percentage of Black residents are in Princeton at 12% compared to 1% in Whitehall.
- The percentage of White residents is higher in Whitehall at 83% compared to 82% in Princeton.
- Both Princeton and Whitehall have the same percentage of Asian residents at 0%.
- Whitehall has a higher percentage of Hispanic residents at 12%, compared to 2% in Princeton.
- More residents identify as two or more races in Princeton at 4% compared to 3% in Whitehall.
- In Whitehall, the percentage of American Indian residents is higher at 1%, compared to 0% in Princeton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Princeton | Whitehall |
|---|---|---|
| Mental Health Not Good | 19.8% | 15.2% |
| Physical Health Not Good | 14.5% | 10.3% |
| Depression | 28.2% | 24.0% |
| Smoking | 23.0% | 16.7% |
| Binge Drinking | 14.7% | 24.4% |
| Obesity | 37.1% | 34.9% |
| Disability Percentage | 27.0% | 15.0% |
Health Statistics Comparison: Princeton vs Whitehall
- More residents in Princeton report poor mental health at 19.8% compared to 15.2% in Whitehall.
- Depression is more prevalent in Princeton at 28.2% compared to 24.0% in Whitehall.
- Smoking is more prevalent in Princeton at 23.0% compared to 16.7% in Whitehall.
- More residents engage in binge drinking in Whitehall at 24.4% compared to 14.7% in Princeton.
- Obesity rates are higher in Princeton at 37.1% compared to 34.9% in Whitehall.
- Disability percentages are higher in Princeton at 27.0% compared to 15.0% in Whitehall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Princeton | Whitehall |
|---|---|---|
| No Schooling | 0.3% (21) | 0.4% (7) |
| High School Diploma | 21.1% (1,310) | 24.4% (398) |
| Less than High School | 20.8% (1,289) | 15.7% (256) |
| Bachelor's Degree and Higher | 11.0% (686) | 8.6% (141) |
Education Levels Comparison: Princeton vs Whitehall
- In Whitehall, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Princeton.
- In Whitehall, the rate of residents with high school diplomas is higher at 24.4% compared to 21.1% in Princeton.
- More residents in Princeton have less than a high school education at 20.8% compared to 15.7% in Whitehall.
- A higher percentage of residents in Princeton hold a bachelor's degree or higher at 11.0% compared to 8.6% in Whitehall.
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.