Demographics details for Palestine, TX vs Hope mills, NC
Population Overview
Compare main population characteristics in Palestine, TX vs Hope mills, NC.
| Data | Palestine | Hope mills |
|---|---|---|
| Population | 18,981 | 17,824 |
| Median Age | 33.1 years | 32.5 years |
| Median Income | $43,759 | $57,864 |
| Married Families | 36.0% | 34.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Palestine vs Hope mills
- In Palestine, the population is higher at 18,981, compared to 17,824 in Hope mills.
- Residents in Palestine have a higher median age of 33.1 years compared to 32.5 years in Hope mills.
- Hope mills has a higher median income of $57,864, compared to $43,759 in Palestine.
- A higher percentage of married families is found in Palestine at 36.0% compared to 34.0% in Hope mills.
- Palestine has a higher poverty level at 12% compared to 10% in Hope mills.
- Hope mills has a higher unemployment rate at 4.2% compared to 4.1% in Palestine.
Demographics
Demographics Palestine vs Hope mills provide insight into the diversity of the communities to compare.
| Demographic | Palestine | Hope mills |
|---|---|---|
| Black | 28 | 34 |
| White | 37 | 35 |
| Asian | Data is updating | 1 |
| Hispanic | 23 | 15 |
| Two or More Races | 12 | 13 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Palestine vs Hope mills
- In Hope mills, the percentage of Black residents is higher at 34% compared to 28% in Palestine.
- Palestine has a higher percentage of White residents at 37% compared to 35% in Hope mills.
- In Hope mills, the Asian population stands at 1%, greater than 0% in Palestine.
- The Hispanic community is larger in Palestine at 23% compared to 15% in Hope mills.
- The percentage of residents identifying as two or more races is higher in Hope mills at 13%, compared to 12% in Palestine.
- In Hope mills, the percentage of American Indian residents is higher at 2%, compared to 0% in Palestine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palestine | Hope mills |
|---|---|---|
| Mental Health Not Good | 20.1% | 17.6% |
| Physical Health Not Good | 14.9% | 11.9% |
| Depression | 24.7% | 25.9% |
| Smoking | 22.9% | 17.5% |
| Binge Drinking | 16.1% | 17.6% |
| Obesity | 44.1% | 38.5% |
| Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Palestine vs Hope mills
- More residents in Palestine report poor mental health at 20.1% compared to 17.6% in Hope mills.
- Higher depression rates are seen in Hope mills at 25.9% versus 24.7% in Palestine.
- Smoking is more prevalent in Palestine at 22.9% compared to 17.5% in Hope mills.
- More residents engage in binge drinking in Hope mills at 17.6% compared to 16.1% in Palestine.
- Obesity rates are higher in Palestine at 44.1% compared to 38.5% in Hope mills.
- There is a higher percentage of disabled individuals in Hope mills at 16.0% 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 | Hope mills |
|---|---|---|
| No Schooling | 1.7% (323) | 0.4% (68) |
| High School Diploma | 18.3% (3,466) | 14.7% (2,614) |
| Less than High School | 11.8% (2,233) | 6.9% (1,237) |
| Bachelor's Degree and Higher | 10.0% (1,897) | 13.7% (2,437) |
Education Levels Comparison: Palestine vs Hope mills
- A higher percentage of residents in Palestine have no formal schooling at 1.7% compared to 0.4% in Hope mills.
- A higher percentage of residents in Palestine hold a high school diploma at 18.3% compared to 14.7% in Hope mills.
- More residents in Palestine have less than a high school education at 11.8% compared to 6.9% in Hope mills.
- In Hope mills, a larger share of residents have a bachelor's degree or higher at 13.7% 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.