Demographics details for White plains, NY vs Tampa, FL
Population Overview
Compare main population characteristics in White plains, NY vs Tampa, FL.
| Data | White plains | Tampa |
|---|---|---|
| Population | 59,316 | 398,173 |
| Median Age | 41.4 years | 35.5 years |
| Median Income | $109,551 | $66,802 |
| Married Families | 40.0% | 31.0% |
| Poverty Level | 6% | 17% |
| Unemployment Rate | 3.2 | 3.7 |
Population Comparison: White plains vs Tampa
- The population in Tampa is higher at 398,173, compared to 59,316 in White plains.
- Residents in White plains have a higher median age of 41.4 years compared to 35.5 years in Tampa.
- White plains has a higher median income of $109,551 compared to $66,802 in Tampa.
- A higher percentage of married families is found in White plains at 40.0% compared to 31.0% in Tampa.
- The poverty level is higher in Tampa at 17%, compared to 6% in White plains.
- Tampa has a higher unemployment rate at 3.7% compared to 3.2% in White plains.
Demographics
Demographics White plains vs Tampa provide insight into the diversity of the communities to compare.
| Demographic | White plains | Tampa |
|---|---|---|
| Black | 13 | 21 |
| White | 39 | 35 |
| Asian | 8 | 5 |
| Hispanic | 31 | 26 |
| Two or More Races | 9 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: White plains vs Tampa
- In Tampa, the percentage of Black residents is higher at 21% compared to 13% in White plains.
- White plains has a higher percentage of White residents at 39% compared to 35% in Tampa.
- The Asian population is larger in White plains at 8% compared to 5% in Tampa.
- The Hispanic community is larger in White plains at 31% compared to 26% in Tampa.
- The percentage of residents identifying as two or more races is higher in Tampa at 13%, compared to 9% in White plains.
- The percentage of American Indian residents is the same in both White plains and Tampa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White plains | Tampa |
|---|---|---|
| Mental Health Not Good | 13.1% | 15.8% |
| Physical Health Not Good | 9.1% | 11.8% |
| Depression | 17.7% | 17.6% |
| Smoking | 11.7% | 18.0% |
| Binge Drinking | 15.9% | 15.8% |
| Obesity | 28.4% | 31.6% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: White plains vs Tampa
- In Tampa, a higher percentage report poor mental health at 15.8% compared to 13.1% in White plains.
- Depression is more prevalent in White plains at 17.7% compared to 17.6% in Tampa.
- Tampa has a higher smoking rate at 18.0% compared to 11.7% in White plains.
- Binge drinking is more common in White plains at 15.9% compared to 15.8% in Tampa.
- Tampa has higher obesity rates at 31.6% compared to 28.4% in White plains.
- There is a higher percentage of disabled individuals in Tampa at 11.0% compared to 10.0% in White plains.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | White plains | Tampa |
|---|---|---|
| No Schooling | 1.0% (566) | 1.2% (4,784) |
| High School Diploma | 11.6% (6,853) | 13.0% (51,749) |
| Less than High School | 14.7% (8,744) | 12.2% (48,642) |
| Bachelor's Degree and Higher | 39.0% (23,145) | 28.7% (114,410) |
Education Levels Comparison: White plains vs Tampa
- In Tampa, a larger percentage of residents lack formal schooling at 1.2% compared to 1.0% in White plains.
- In Tampa, the rate of residents with high school diplomas is higher at 13.0% compared to 11.6% in White plains.
- More residents in White plains have less than a high school education at 14.7% compared to 12.2% in Tampa.
- A higher percentage of residents in White plains hold a bachelor's degree or higher at 39.0% compared to 28.7% in Tampa.
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.