Demographics details for Tampa, FL vs Princeton, LA
Population Overview
Compare main population characteristics in Tampa, FL vs Princeton, LA.
| Data | Tampa | Princeton |
|---|---|---|
| Population | 398,173 | 1,554 |
| Median Age | 35.5 years | 36.0 years |
| Median Income | $66,802 | $48,500 |
| Married Families | 31.0% | 52.0% |
| Poverty Level | 17% | 15% |
| Unemployment Rate | 3.7 | 6.0 |
Population Comparison: Tampa vs Princeton
- In Tampa, the population is higher at 398,173, compared to 1,554 in Princeton.
- The median age in Princeton is higher at 36.0 years, compared to 35.5 years in Tampa.
- Tampa has a higher median income of $66,802 compared to $48,500 in Princeton.
- In Princeton, the percentage of married families is higher at 52.0%, compared to 31.0% in Tampa.
- Tampa has a higher poverty level at 17% compared to 15% in Princeton.
- Princeton has a higher unemployment rate at 6.0% compared to 3.7% in Tampa.
Demographics
Demographics Tampa vs Princeton provide insight into the diversity of the communities to compare.
| Demographic | Tampa | Princeton |
|---|---|---|
| Black | 21 | 50 |
| White | 35 | 48 |
| Asian | 5 | Data is updating |
| Hispanic | 26 | 2 |
| Two or More Races | 13 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tampa vs Princeton
- In Princeton, the percentage of Black residents is higher at 50% compared to 21% in Tampa.
- The percentage of White residents is higher in Princeton at 48% compared to 35% in Tampa.
- The Asian population is larger in Tampa at 5% compared to 0% in Princeton.
- The Hispanic community is larger in Tampa at 26% compared to 2% in Princeton.
- More residents identify as two or more races in Tampa at 13% compared to 0% in Princeton.
- The percentage of American Indian residents is the same in both Tampa and Princeton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tampa | Princeton |
|---|---|---|
| Mental Health Not Good | 15.8% | Data is updating% |
| Physical Health Not Good | 11.8% | Data is updating% |
| Depression | 17.6% | Data is updating% |
| Smoking | 18.0% | Data is updating% |
| Binge Drinking | 15.8% | Data is updating% |
| Obesity | 31.6% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Tampa vs Princeton
- More residents in Tampa report poor mental health at 15.8% compared to 0.0% in Princeton.
- Depression is more prevalent in Tampa at 17.6% compared to 0.0% in Princeton.
- Smoking is more prevalent in Tampa at 18.0% compared to 0.0% in Princeton.
- Binge drinking is more common in Tampa at 15.8% compared to 0.0% in Princeton.
- Obesity rates are higher in Tampa at 31.6% compared to 0.0% in Princeton.
- Disability percentages are higher in Tampa at 11.0% 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 | Tampa | Princeton |
|---|---|---|
| No Schooling | 1.2% (4,784) | 0.0% (Data is updating) |
| High School Diploma | 13.0% (51,749) | 0.0% (Data is updating) |
| Less than High School | 12.2% (48,642) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 28.7% (114,410) | 0.0% (Data is updating) |
Education Levels Comparison: Tampa vs Princeton
- A higher percentage of residents in Tampa have no formal schooling at 1.2% compared to 0.0% in Princeton.
- A higher percentage of residents in Tampa hold a high school diploma at 13.0% compared to 0.0% in Princeton.
- More residents in Tampa have less than a high school education at 12.2% compared to 0.0% in Princeton.
- A higher percentage of residents in Tampa hold a bachelor's degree or higher at 28.7% 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.