Demographics details for Gainesville, FL vs Taylor, PA
Population Overview
Compare main population characteristics in Gainesville, FL vs Taylor, PA.
Data | Gainesville | Taylor |
---|---|---|
Population | 145,214 | 6,251 |
Median Age | 26.0 years | 38.4 years |
Median Income | $43,783 | $57,667 |
Married Families | 21.0% | 29.0% |
Poverty Level | 20% | 10% |
Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Gainesville vs Taylor
- In Gainesville, the population is higher at 145,214, compared to 6,251 in Taylor.
- The median age in Taylor is higher at 38.4 years, compared to 26.0 years in Gainesville.
- Taylor has a higher median income of $57,667, compared to $43,783 in Gainesville.
- In Taylor, the percentage of married families is higher at 29.0%, compared to 21.0% in Gainesville.
- Gainesville has a higher poverty level at 20% compared to 10% in Taylor.
- Taylor has a higher unemployment rate at 5.0% compared to 4.5% in Gainesville.
Demographics
Demographics Gainesville vs Taylor provide insight into the diversity of the communities to compare.
Demographic | Gainesville | Taylor |
---|---|---|
Black | 21 | 1 |
White | 53 | 76 |
Asian | 6 | 1 |
Hispanic | 12 | 15 |
Two or More Races | 8 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Gainesville vs Taylor
- A higher percentage of Black residents are in Gainesville at 21% compared to 1% in Taylor.
- The percentage of White residents is higher in Taylor at 76% compared to 53% in Gainesville.
- The Asian population is larger in Gainesville at 6% compared to 1% in Taylor.
- Taylor has a higher percentage of Hispanic residents at 15%, compared to 12% in Gainesville.
- More residents identify as two or more races in Gainesville at 8% compared to 7% in Taylor.
- The percentage of American Indian residents is the same in both Gainesville and Taylor at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Gainesville | Taylor |
---|---|---|
Mental Health Not Good | 16.6% | 18.7% |
Physical Health Not Good | 11.8% | 13.5% |
Depression | 18.9% | 24.8% |
Smoking | 18.3% | 22.9% |
Binge Drinking | 15.0% | 16.8% |
Obesity | 33.1% | 34.6% |
Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: Gainesville vs Taylor
- In Taylor, a higher percentage report poor mental health at 18.7% compared to 16.6% in Gainesville.
- Higher depression rates are seen in Taylor at 24.8% versus 18.9% in Gainesville.
- Taylor has a higher smoking rate at 22.9% compared to 18.3% in Gainesville.
- More residents engage in binge drinking in Taylor at 16.8% compared to 15.0% in Gainesville.
- Taylor has higher obesity rates at 34.6% compared to 33.1% in Gainesville.
- There is a higher percentage of disabled individuals in Taylor at 18.0% compared to 9.0% in Gainesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Gainesville | Taylor |
---|---|---|
No Schooling | 0.8% (1,117) | 0.7% (42) |
High School Diploma | 7.5% (10,893) | 28.0% (1,753) |
Less than High School | 4.7% (6,845) | 15.4% (963) |
Bachelor's Degree and Higher | 25.5% (37,008) | 15.2% (951) |
Education Levels Comparison: Gainesville vs Taylor
- A higher percentage of residents in Gainesville have no formal schooling at 0.8% compared to 0.7% in Taylor.
- In Taylor, the rate of residents with high school diplomas is higher at 28.0% compared to 7.5% in Gainesville.
- The percentage of residents with less than a high school education is higher in Taylor at 15.4%, compared to 4.7% in Gainesville.
- A higher percentage of residents in Gainesville hold a bachelor's degree or higher at 25.5% compared to 15.2% in Taylor.
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.