Demographics details for Valley, AL vs Princeton, LA
Population Overview
Compare main population characteristics in Valley, AL vs Princeton, LA.
| Data | Valley | Princeton |
|---|---|---|
| Population | 10,323 | 1,554 |
| Median Age | 32.5 years | 36.0 years |
| Median Income | $54,237 | $48,500 |
| Married Families | 30.0% | 52.0% |
| Poverty Level | 14% | 15% |
| Unemployment Rate | 3.2 | 6.0 |
Population Comparison: Valley vs Princeton
- In Valley, the population is higher at 10,323, compared to 1,554 in Princeton.
- The median age in Princeton is higher at 36.0 years, compared to 32.5 years in Valley.
- Valley has a higher median income of $54,237 compared to $48,500 in Princeton.
- In Princeton, the percentage of married families is higher at 52.0%, compared to 30.0% in Valley.
- The poverty level is higher in Princeton at 15%, compared to 14% in Valley.
- Princeton has a higher unemployment rate at 6.0% compared to 3.2% in Valley.
Demographics
Demographics Valley vs Princeton provide insight into the diversity of the communities to compare.
| Demographic | Valley | Princeton |
|---|---|---|
| Black | 39 | 50 |
| White | 56 | 48 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 2 |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Valley vs Princeton
- In Princeton, the percentage of Black residents is higher at 50% compared to 39% in Valley.
- Valley has a higher percentage of White residents at 56% compared to 48% in Princeton.
- Both Valley and Princeton have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Valley at 3% compared to 2% in Princeton.
- More residents identify as two or more races in Valley at 2% compared to 0% in Princeton.
- The percentage of American Indian residents is the same in both Valley and Princeton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Valley | Princeton |
|---|---|---|
| Mental Health Not Good | 19.5% | Data is updating% |
| Physical Health Not Good | 13.6% | Data is updating% |
| Depression | 23.5% | Data is updating% |
| Smoking | 20.1% | Data is updating% |
| Binge Drinking | 14.3% | Data is updating% |
| Obesity | 42.9% | Data is updating% |
| Disability Percentage | 16.0% | Data is updating% |
Health Statistics Comparison: Valley vs Princeton
- More residents in Valley report poor mental health at 19.5% compared to 0.0% in Princeton.
- Depression is more prevalent in Valley at 23.5% compared to 0.0% in Princeton.
- Smoking is more prevalent in Valley at 20.1% compared to 0.0% in Princeton.
- Binge drinking is more common in Valley at 14.3% compared to 0.0% in Princeton.
- Obesity rates are higher in Valley at 42.9% compared to 0.0% in Princeton.
- Disability percentages are higher in Valley at 16.0% 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 | Valley | Princeton |
|---|---|---|
| No Schooling | 2.4% (252) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (2,302) | 0.0% (Data is updating) |
| Less than High School | 14.2% (1,467) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 9.3% (956) | 0.0% (Data is updating) |
Education Levels Comparison: Valley vs Princeton
- A higher percentage of residents in Valley have no formal schooling at 2.4% compared to 0.0% in Princeton.
- A higher percentage of residents in Valley hold a high school diploma at 22.3% compared to 0.0% in Princeton.
- More residents in Valley have less than a high school education at 14.2% compared to 0.0% in Princeton.
- A higher percentage of residents in Valley hold a bachelor's degree or higher at 9.3% 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.