Demographics details for Pine, AZ vs Gainesville, TX
Population Overview
Compare main population characteristics in Pine, AZ vs Gainesville, TX.
| Data | Pine | Gainesville |
|---|---|---|
| Population | 1,526 | 17,912 |
| Median Age | 68.7 years | 34.8 years |
| Median Income | $54,720 | $49,170 |
| Married Families | 64.0% | 36.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Pine vs Gainesville
- The population in Gainesville is higher at 17,912, compared to 1,526 in Pine.
- Residents in Pine have a higher median age of 68.7 years compared to 34.8 years in Gainesville.
- Pine has a higher median income of $54,720 compared to $49,170 in Gainesville.
- A higher percentage of married families is found in Pine at 64.0% compared to 36.0% in Gainesville.
- The poverty level is higher in Gainesville at 15%, compared to 10% in Pine.
- The unemployment rate is the same in both Pine and Gainesville at 4.2%.
Demographics
Demographics Pine vs Gainesville provide insight into the diversity of the communities to compare.
| Demographic | Pine | Gainesville |
|---|---|---|
| Black | Data is updating | 7 |
| White | 96 | 47 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 31 |
| Two or More Races | Data is updating | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pine vs Gainesville
- In Gainesville, the percentage of Black residents is higher at 7% compared to 0% in Pine.
- Pine has a higher percentage of White residents at 96% compared to 47% in Gainesville.
- In Gainesville, the Asian population stands at 2%, greater than 0% in Pine.
- Gainesville has a higher percentage of Hispanic residents at 31%, compared to 4% in Pine.
- The percentage of residents identifying as two or more races is higher in Gainesville at 12%, compared to 0% in Pine.
- In Gainesville, the percentage of American Indian residents is higher at 1%, compared to 0% in Pine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pine | Gainesville |
|---|---|---|
| Mental Health Not Good | 16.5% | 19.6% |
| Physical Health Not Good | 9.8% | 14.2% |
| Depression | 20.3% | 25.2% |
| Smoking | 15.0% | 21.4% |
| Binge Drinking | 21.2% | 17.5% |
| Obesity | 31.2% | 38.5% |
| Disability Percentage | 36.0% | 14.0% |
Health Statistics Comparison: Pine vs Gainesville
- In Gainesville, a higher percentage report poor mental health at 19.6% compared to 16.5% in Pine.
- Higher depression rates are seen in Gainesville at 25.2% versus 20.3% in Pine.
- Gainesville has a higher smoking rate at 21.4% compared to 15.0% in Pine.
- Binge drinking is more common in Pine at 21.2% compared to 17.5% in Gainesville.
- Gainesville has higher obesity rates at 38.5% compared to 31.2% in Pine.
- Disability percentages are higher in Pine at 36.0% compared to 14.0% in Gainesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pine | Gainesville |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.6% (286) |
| High School Diploma | 21.5% (328) | 15.0% (2,686) |
| Less than High School | 3.8% (58) | 20.8% (3,722) |
| Bachelor's Degree and Higher | 26.6% (406) | 11.2% (1,998) |
Education Levels Comparison: Pine vs Gainesville
- In Gainesville, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Pine.
- A higher percentage of residents in Pine hold a high school diploma at 21.5% compared to 15.0% in Gainesville.
- The percentage of residents with less than a high school education is higher in Gainesville at 20.8%, compared to 3.8% in Pine.
- A higher percentage of residents in Pine hold a bachelor's degree or higher at 26.6% compared to 11.2% in Gainesville.
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.