Demographics details for Pampa, TX vs Forest, MS
Population Overview
Compare main population characteristics in Pampa, TX vs Forest, MS.
| Data | Pampa | Forest |
|---|---|---|
| Population | 16,612 | 5,330 |
| Median Age | 35.5 years | 36.4 years |
| Median Income | $52,966 | $50,093 |
| Married Families | 42.0% | 35.0% |
| Poverty Level | 14% | 18% |
| Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Pampa vs Forest
- In Pampa, the population is higher at 16,612, compared to 5,330 in Forest.
- The median age in Forest is higher at 36.4 years, compared to 35.5 years in Pampa.
- Pampa has a higher median income of $52,966 compared to $50,093 in Forest.
- A higher percentage of married families is found in Pampa at 42.0% compared to 35.0% in Forest.
- The poverty level is higher in Forest at 18%, compared to 14% in Pampa.
- Forest has a higher unemployment rate at 4.5% compared to 3.4% in Pampa.
Demographics
Demographics Pampa vs Forest provide insight into the diversity of the communities to compare.
| Demographic | Pampa | Forest |
|---|---|---|
| Black | 3 | 43 |
| White | 53 | 24 |
| Asian | 2 | Data is updating |
| Hispanic | 34 | 30 |
| Two or More Races | 7 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pampa vs Forest
- In Forest, the percentage of Black residents is higher at 43% compared to 3% in Pampa.
- Pampa has a higher percentage of White residents at 53% compared to 24% in Forest.
- The Asian population is larger in Pampa at 2% compared to 0% in Forest.
- The Hispanic community is larger in Pampa at 34% compared to 30% in Forest.
- More residents identify as two or more races in Pampa at 7% compared to 3% in Forest.
- A greater percentage of American Indian residents live in Pampa at 1% compared to 0% in Forest.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pampa | Forest |
|---|---|---|
| Mental Health Not Good | 19.5% | 18.9% |
| Physical Health Not Good | 14.0% | 16.8% |
| Depression | 25.4% | 21.2% |
| Smoking | 21.1% | 26.1% |
| Binge Drinking | 17.9% | 11.8% |
| Obesity | 39.7% | 45.7% |
| Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Pampa vs Forest
- More residents in Pampa report poor mental health at 19.5% compared to 18.9% in Forest.
- Depression is more prevalent in Pampa at 25.4% compared to 21.2% in Forest.
- Forest has a higher smoking rate at 26.1% compared to 21.1% in Pampa.
- Binge drinking is more common in Pampa at 17.9% compared to 11.8% in Forest.
- Forest has higher obesity rates at 45.7% compared to 39.7% in Pampa.
- There is a higher percentage of disabled individuals in Forest at 20.0% compared to 12.0% in Pampa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pampa | Forest |
|---|---|---|
| No Schooling | 1.4% (238) | 4.4% (232) |
| High School Diploma | 14.7% (2,443) | 10.5% (557) |
| Less than High School | 24.0% (3,994) | 33.4% (1,779) |
| Bachelor's Degree and Higher | 10.6% (1,757) | 8.5% (455) |
Education Levels Comparison: Pampa vs Forest
- In Forest, a larger percentage of residents lack formal schooling at 4.4% compared to 1.4% in Pampa.
- A higher percentage of residents in Pampa hold a high school diploma at 14.7% compared to 10.5% in Forest.
- The percentage of residents with less than a high school education is higher in Forest at 33.4%, compared to 24.0% in Pampa.
- A higher percentage of residents in Pampa hold a bachelor's degree or higher at 10.6% compared to 8.5% in Forest.
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.