Demographics details for Palestine, TX vs Waverly, TN
Population Overview
Compare main population characteristics in Palestine, TX vs Waverly, TN.
| Data | Palestine | Waverly |
|---|---|---|
| Population | 18,981 | 4,297 |
| Median Age | 33.1 years | 46.7 years |
| Median Income | $43,759 | $43,750 |
| Married Families | 36.0% | 35.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Palestine vs Waverly
- In Palestine, the population is higher at 18,981, compared to 4,297 in Waverly.
- The median age in Waverly is higher at 46.7 years, compared to 33.1 years in Palestine.
- Palestine has a higher median income of $43,759 compared to $43,750 in Waverly.
- A higher percentage of married families is found in Palestine at 36.0% compared to 35.0% in Waverly.
- The poverty level is identical in both Palestine and Waverly at 12%.
- Waverly has a higher unemployment rate at 4.5% compared to 4.1% in Palestine.
Demographics
Demographics Palestine vs Waverly provide insight into the diversity of the communities to compare.
| Demographic | Palestine | Waverly |
|---|---|---|
| Black | 28 | 2 |
| White | 37 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 23 | 2 |
| Two or More Races | 12 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Palestine vs Waverly
- A higher percentage of Black residents are in Palestine at 28% compared to 2% in Waverly.
- The percentage of White residents is higher in Waverly at 91% compared to 37% in Palestine.
- Both Palestine and Waverly have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Palestine at 23% compared to 2% in Waverly.
- More residents identify as two or more races in Palestine at 12% compared to 5% in Waverly.
- The percentage of American Indian residents is the same in both Palestine and Waverly at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palestine | Waverly |
|---|---|---|
| Mental Health Not Good | 20.1% | 19.9% |
| Physical Health Not Good | 14.9% | 13.9% |
| Depression | 24.7% | 28.8% |
| Smoking | 22.9% | 23.6% |
| Binge Drinking | 16.1% | 15.6% |
| Obesity | 44.1% | 37.8% |
| Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Palestine vs Waverly
- More residents in Palestine report poor mental health at 20.1% compared to 19.9% in Waverly.
- Higher depression rates are seen in Waverly at 28.8% versus 24.7% in Palestine.
- Waverly has a higher smoking rate at 23.6% compared to 22.9% in Palestine.
- Binge drinking is more common in Palestine at 16.1% compared to 15.6% in Waverly.
- Obesity rates are higher in Palestine at 44.1% compared to 37.8% in Waverly.
- There is a higher percentage of disabled individuals in Waverly at 19.0% compared to 15.0% in Palestine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palestine | Waverly |
|---|---|---|
| No Schooling | 1.7% (323) | 1.0% (41) |
| High School Diploma | 18.3% (3,466) | 18.4% (792) |
| Less than High School | 11.8% (2,233) | 21.9% (943) |
| Bachelor's Degree and Higher | 10.0% (1,897) | 16.5% (709) |
Education Levels Comparison: Palestine vs Waverly
- A higher percentage of residents in Palestine have no formal schooling at 1.7% compared to 1.0% in Waverly.
- In Waverly, the rate of residents with high school diplomas is higher at 18.4% compared to 18.3% in Palestine.
- The percentage of residents with less than a high school education is higher in Waverly at 21.9%, compared to 11.8% in Palestine.
- In Waverly, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 10.0% in Palestine.
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.