Demographics details for Forest, MS vs De queen, AR
Population Overview
Compare main population characteristics in Forest, MS vs De queen, AR.
| Data | Forest | De queen |
|---|---|---|
| Population | 5,330 | 6,042 |
| Median Age | 36.4 years | 33.0 years |
| Median Income | $50,093 | $55,207 |
| Married Families | 35.0% | 35.0% |
| Poverty Level | 18% | 24% |
| Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Forest vs De queen
- The population in De queen is higher at 6,042, compared to 5,330 in Forest.
- Residents in Forest have a higher median age of 36.4 years compared to 33.0 years in De queen.
- De queen has a higher median income of $55,207, compared to $50,093 in Forest.
- The percentage of married families is the same in both Forest and De queen at 35.0%.
- The poverty level is higher in De queen at 24%, compared to 18% in Forest.
- De queen has a higher unemployment rate at 4.8% compared to 4.5% in Forest.
Demographics
Demographics Forest vs De queen provide insight into the diversity of the communities to compare.
| Demographic | Forest | De queen |
|---|---|---|
| Black | 43 | 6 |
| White | 24 | 28 |
| Asian | Data is updating | Data is updating |
| Hispanic | 30 | 60 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Forest vs De queen
- A higher percentage of Black residents are in Forest at 43% compared to 6% in De queen.
- The percentage of White residents is higher in De queen at 28% compared to 24% in Forest.
- Both Forest and De queen have the same percentage of Asian residents at 0%.
- De queen has a higher percentage of Hispanic residents at 60%, compared to 30% in Forest.
- The percentage of residents identifying as two or more races is higher in De queen at 5%, compared to 3% in Forest.
- In De queen, the percentage of American Indian residents is higher at 1%, compared to 0% in Forest.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest | De queen |
|---|---|---|
| Mental Health Not Good | 18.9% | 20.2% |
| Physical Health Not Good | 16.8% | 17.2% |
| Depression | 21.2% | 24.7% |
| Smoking | 26.1% | 24.0% |
| Binge Drinking | 11.8% | 12.9% |
| Obesity | 45.7% | 44.1% |
| Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Forest vs De queen
- In De queen, a higher percentage report poor mental health at 20.2% compared to 18.9% in Forest.
- Higher depression rates are seen in De queen at 24.7% versus 21.2% in Forest.
- Smoking is more prevalent in Forest at 26.1% compared to 24.0% in De queen.
- More residents engage in binge drinking in De queen at 12.9% compared to 11.8% in Forest.
- Obesity rates are higher in Forest at 45.7% compared to 44.1% in De queen.
- Disability percentages are higher in Forest at 20.0% compared to 12.0% in De queen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest | De queen |
|---|---|---|
| No Schooling | 4.4% (232) | 1.8% (108) |
| High School Diploma | 10.5% (557) | 15.0% (905) |
| Less than High School | 33.4% (1,779) | 46.5% (2,809) |
| Bachelor's Degree and Higher | 8.5% (455) | 7.0% (421) |
Education Levels Comparison: Forest vs De queen
- A higher percentage of residents in Forest have no formal schooling at 4.4% compared to 1.8% in De queen.
- In De queen, the rate of residents with high school diplomas is higher at 15.0% compared to 10.5% in Forest.
- The percentage of residents with less than a high school education is higher in De queen at 46.5%, compared to 33.4% in Forest.
- A higher percentage of residents in Forest hold a bachelor's degree or higher at 8.5% compared to 7.0% in De queen.
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.