Demographics details for Palestine, TX vs Queenstown, MD
Population Overview
Compare main population characteristics in Palestine, TX vs Queenstown, MD.
Data | Palestine | Queenstown |
---|---|---|
Population | 18,981 | 741 |
Median Age | 33.1 years | 35.3 years |
Median Income | $43,759 | $101,964 |
Married Families | 36.0% | 43.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Palestine vs Queenstown
- In Palestine, the population is higher at 18,981, compared to 741 in Queenstown.
- The median age in Queenstown is higher at 35.3 years, compared to 33.1 years in Palestine.
- Queenstown has a higher median income of $101,964, compared to $43,759 in Palestine.
- In Queenstown, the percentage of married families is higher at 43.0%, compared to 36.0% in Palestine.
- Palestine has a higher poverty level at 12% compared to 5% in Queenstown.
- Queenstown has a higher unemployment rate at 4.2% compared to 4.1% in Palestine.
Demographics
Demographics Palestine vs Queenstown provide insight into the diversity of the communities to compare.
Demographic | Palestine | Queenstown |
---|---|---|
Black | 28 | 13 |
White | 37 | 30 |
Asian | Data is updating | Data is updating |
Hispanic | 23 | 34 |
Two or More Races | 12 | 21 |
American Indian | Data is updating | 2 |
Demographics Comparison: Palestine vs Queenstown
- A higher percentage of Black residents are in Palestine at 28% compared to 13% in Queenstown.
- Palestine has a higher percentage of White residents at 37% compared to 30% in Queenstown.
- Both Palestine and Queenstown have the same percentage of Asian residents at 0%.
- Queenstown has a higher percentage of Hispanic residents at 34%, compared to 23% in Palestine.
- The percentage of residents identifying as two or more races is higher in Queenstown at 21%, compared to 12% in Palestine.
- In Queenstown, 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 | Queenstown |
---|---|---|
Mental Health Not Good | 20.1% | 14.5% |
Physical Health Not Good | 14.9% | 8.4% |
Depression | 24.7% | 20.2% |
Smoking | 22.9% | 12.0% |
Binge Drinking | 16.1% | 17.8% |
Obesity | 44.1% | 33.7% |
Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Palestine vs Queenstown
- More residents in Palestine report poor mental health at 20.1% compared to 14.5% in Queenstown.
- Depression is more prevalent in Palestine at 24.7% compared to 20.2% in Queenstown.
- Smoking is more prevalent in Palestine at 22.9% compared to 12.0% in Queenstown.
- More residents engage in binge drinking in Queenstown at 17.8% compared to 16.1% in Palestine.
- Obesity rates are higher in Palestine at 44.1% compared to 33.7% in Queenstown.
- Disability percentages are higher in Palestine at 15.0% compared to 11.0% in Queenstown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Palestine | Queenstown |
---|---|---|
No Schooling | 1.7% (323) | 2.7% (20) |
High School Diploma | 18.3% (3,466) | 17.8% (132) |
Less than High School | 11.8% (2,233) | 14.6% (108) |
Bachelor's Degree and Higher | 10.0% (1,897) | 28.3% (210) |
Education Levels Comparison: Palestine vs Queenstown
- In Queenstown, a larger percentage of residents lack formal schooling at 2.7% compared to 1.7% in Palestine.
- A higher percentage of residents in Palestine hold a high school diploma at 18.3% compared to 17.8% in Queenstown.
- The percentage of residents with less than a high school education is higher in Queenstown at 14.6%, compared to 11.8% in Palestine.
- In Queenstown, a larger share of residents have a bachelor's degree or higher at 28.3% 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.