Demographics details for Potts camp, MS vs Pampa, TX
Population Overview
Compare main population characteristics in Potts camp, MS vs Pampa, TX.
Data | Potts camp | Pampa |
---|---|---|
Population | 409 | 16,612 |
Median Age | 45.6 years | 35.5 years |
Median Income | $21,845 | $52,966 |
Married Families | 20.0% | 42.0% |
Poverty Level | 25% | 14% |
Unemployment Rate | 5.2 | 3.4 |
Population Comparison: Potts camp vs Pampa
- The population in Pampa is higher at 16,612, compared to 409 in Potts camp.
- Residents in Potts camp have a higher median age of 45.6 years compared to 35.5 years in Pampa.
- Pampa has a higher median income of $52,966, compared to $21,845 in Potts camp.
- In Pampa, the percentage of married families is higher at 42.0%, compared to 20.0% in Potts camp.
- Potts camp has a higher poverty level at 25% compared to 14% in Pampa.
- The unemployment rate in Potts camp is higher at 5.2%, compared to 3.4% in Pampa.
Demographics
Demographics Potts camp vs Pampa provide insight into the diversity of the communities to compare.
Demographic | Potts camp | Pampa |
---|---|---|
Black | 13 | 3 |
White | 80 | 53 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 34 |
Two or More Races | 7 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Potts camp vs Pampa
- A higher percentage of Black residents are in Potts camp at 13% compared to 3% in Pampa.
- Potts camp has a higher percentage of White residents at 80% compared to 53% in Pampa.
- In Pampa, the Asian population stands at 2%, greater than 0% in Potts camp.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 0% in Potts camp.
- Both Potts camp and Pampa have the same percentage of residents identifying as two or more races at 7%.
- In Pampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Potts camp.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Potts camp | Pampa |
---|---|---|
Mental Health Not Good | 17.4% | 19.5% |
Physical Health Not Good | 13.0% | 14.0% |
Depression | 23.0% | 25.4% |
Smoking | 21.7% | 21.1% |
Binge Drinking | 13.8% | 17.9% |
Obesity | 41.8% | 39.7% |
Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Potts camp vs Pampa
- In Pampa, a higher percentage report poor mental health at 19.5% compared to 17.4% in Potts camp.
- Higher depression rates are seen in Pampa at 25.4% versus 23.0% in Potts camp.
- Smoking is more prevalent in Potts camp at 21.7% compared to 21.1% in Pampa.
- More residents engage in binge drinking in Pampa at 17.9% compared to 13.8% in Potts camp.
- Obesity rates are higher in Potts camp at 41.8% compared to 39.7% in Pampa.
- Disability percentages are higher in Potts camp 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 | Potts camp | Pampa |
---|---|---|
No Schooling | 0.5% (2) | 1.4% (238) |
High School Diploma | 13.7% (56) | 14.7% (2,443) |
Less than High School | 12.0% (49) | 24.0% (3,994) |
Bachelor's Degree and Higher | 8.1% (33) | 10.6% (1,757) |
Education Levels Comparison: Potts camp vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Potts camp.
- In Pampa, the rate of residents with high school diplomas is higher at 14.7% compared to 13.7% in Potts camp.
- The percentage of residents with less than a high school education is higher in Pampa at 24.0%, compared to 12.0% in Potts camp.
- In Pampa, a larger share of residents have a bachelor's degree or higher at 10.6% compared to 8.1% in Potts camp.
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.