Demographics details for Pampa, TX vs Santa maria, CA
Population Overview
Compare main population characteristics in Pampa, TX vs Santa maria, CA.
| Data | Pampa | Santa maria |
|---|---|---|
| Population | 16,612 | 110,125 |
| Median Age | 35.5 years | 29.3 years |
| Median Income | $52,966 | $81,237 |
| Married Families | 42.0% | 31.0% |
| Poverty Level | 14% | 15% |
| Unemployment Rate | 3.4 | 5.0 |
Population Comparison: Pampa vs Santa maria
- The population in Santa maria is higher at 110,125, compared to 16,612 in Pampa.
- Residents in Pampa have a higher median age of 35.5 years compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237, compared to $52,966 in Pampa.
- A higher percentage of married families is found in Pampa at 42.0% compared to 31.0% in Santa maria.
- The poverty level is higher in Santa maria at 15%, compared to 14% in Pampa.
- Santa maria has a higher unemployment rate at 5.0% compared to 3.4% in Pampa.
Demographics
Demographics Pampa vs Santa maria provide insight into the diversity of the communities to compare.
| Demographic | Pampa | Santa maria |
|---|---|---|
| Black | 3 | 1 |
| White | 53 | -13 |
| Asian | 2 | 5 |
| Hispanic | 34 | 77 |
| Two or More Races | 7 | 28 |
| American Indian | 1 | 2 |
Demographics Comparison: Pampa vs Santa maria
- A higher percentage of Black residents are in Pampa at 3% compared to 1% in Santa maria.
- Pampa has a higher percentage of White residents at 53% compared to -13% in Santa maria.
- In Santa maria, the Asian population stands at 5%, greater than 2% in Pampa.
- Santa maria has a higher percentage of Hispanic residents at 77%, compared to 34% in Pampa.
- The percentage of residents identifying as two or more races is higher in Santa maria at 28%, compared to 7% in Pampa.
- In Santa maria, the percentage of American Indian residents is higher at 2%, compared to 1% in Pampa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pampa | Santa maria |
|---|---|---|
| Mental Health Not Good | 19.5% | 17.2% |
| Physical Health Not Good | 14.0% | 14.2% |
| Depression | 25.4% | 19.5% |
| Smoking | 21.1% | 15.3% |
| Binge Drinking | 17.9% | 14.9% |
| Obesity | 39.7% | 32.8% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Pampa vs Santa maria
- More residents in Pampa report poor mental health at 19.5% compared to 17.2% in Santa maria.
- Depression is more prevalent in Pampa at 25.4% compared to 19.5% in Santa maria.
- Smoking is more prevalent in Pampa at 21.1% compared to 15.3% in Santa maria.
- Binge drinking is more common in Pampa at 17.9% compared to 14.9% in Santa maria.
- Obesity rates are higher in Pampa at 39.7% compared to 32.8% in Santa maria.
- Disability percentages are higher in Pampa at 12.0% compared to 10.0% in Santa maria.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pampa | Santa maria |
|---|---|---|
| No Schooling | 1.4% (238) | 3.9% (4,329) |
| High School Diploma | 14.7% (2,443) | 10.4% (11,486) |
| Less than High School | 24.0% (3,994) | 40.4% (44,477) |
| Bachelor's Degree and Higher | 10.6% (1,757) | 8.1% (8,930) |
Education Levels Comparison: Pampa vs Santa maria
- In Santa maria, a larger percentage of residents lack formal schooling at 3.9% compared to 1.4% in Pampa.
- A higher percentage of residents in Pampa hold a high school diploma at 14.7% compared to 10.4% in Santa maria.
- The percentage of residents with less than a high school education is higher in Santa maria at 40.4%, 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 8.1% in Santa maria.
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.