Demographics details for Awendaw, SC vs Palestine, TX
Population Overview
Compare main population characteristics in Awendaw, SC vs Palestine, TX.
| Data | Awendaw | Palestine |
|---|---|---|
| Population | 1,429 | 18,981 |
| Median Age | 57.8 years | 33.1 years |
| Median Income | $63,533 | $43,759 |
| Married Families | 56.0% | 36.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Awendaw vs Palestine
- The population in Palestine is higher at 18,981, compared to 1,429 in Awendaw.
- Residents in Awendaw have a higher median age of 57.8 years compared to 33.1 years in Palestine.
- Awendaw has a higher median income of $63,533 compared to $43,759 in Palestine.
- A higher percentage of married families is found in Awendaw at 56.0% compared to 36.0% in Palestine.
- The poverty level is higher in Palestine at 12%, compared to 5% in Awendaw.
- Palestine has a higher unemployment rate at 4.1% compared to 3.2% in Awendaw.
Demographics
Demographics Awendaw vs Palestine provide insight into the diversity of the communities to compare.
| Demographic | Awendaw | Palestine |
|---|---|---|
| Black | 58 | 28 |
| White | 42 | 37 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 23 |
| Two or More Races | Data is updating | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Awendaw vs Palestine
- A higher percentage of Black residents are in Awendaw at 58% compared to 28% in Palestine.
- Awendaw has a higher percentage of White residents at 42% compared to 37% in Palestine.
- Both Awendaw and Palestine have the same percentage of Asian residents at 0%.
- Palestine has a higher percentage of Hispanic residents at 23%, compared to 0% in Awendaw.
- The percentage of residents identifying as two or more races is higher in Palestine at 12%, compared to 0% in Awendaw.
- The percentage of American Indian residents is the same in both Awendaw and Palestine at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Awendaw | Palestine |
|---|---|---|
| Mental Health Not Good | 16.4% | 20.1% |
| Physical Health Not Good | 10.7% | 14.9% |
| Depression | 17.8% | 24.7% |
| Smoking | 16.6% | 22.9% |
| Binge Drinking | 21.5% | 16.1% |
| Obesity | 35.8% | 44.1% |
| Disability Percentage | 21.0% | 15.0% |
Health Statistics Comparison: Awendaw vs Palestine
- In Palestine, a higher percentage report poor mental health at 20.1% compared to 16.4% in Awendaw.
- Higher depression rates are seen in Palestine at 24.7% versus 17.8% in Awendaw.
- Palestine has a higher smoking rate at 22.9% compared to 16.6% in Awendaw.
- Binge drinking is more common in Awendaw at 21.5% compared to 16.1% in Palestine.
- Palestine has higher obesity rates at 44.1% compared to 35.8% in Awendaw.
- Disability percentages are higher in Awendaw at 21.0% 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 | Awendaw | Palestine |
|---|---|---|
| No Schooling | 1.0% (14) | 1.7% (323) |
| High School Diploma | 24.6% (352) | 18.3% (3,466) |
| Less than High School | 14.8% (212) | 11.8% (2,233) |
| Bachelor's Degree and Higher | 30.4% (435) | 10.0% (1,897) |
Education Levels Comparison: Awendaw vs Palestine
- In Palestine, a larger percentage of residents lack formal schooling at 1.7% compared to 1.0% in Awendaw.
- A higher percentage of residents in Awendaw hold a high school diploma at 24.6% compared to 18.3% in Palestine.
- More residents in Awendaw have less than a high school education at 14.8% compared to 11.8% in Palestine.
- A higher percentage of residents in Awendaw hold a bachelor's degree or higher at 30.4% 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.