Demographics details for Sand springs, OK vs Pampa, TX
Population Overview
Compare main population characteristics in Sand springs, OK vs Pampa, TX.
| Data | Sand springs | Pampa |
|---|---|---|
| Population | 20,031 | 16,612 |
| Median Age | 36.6 years | 35.5 years |
| Median Income | $70,431 | $52,966 |
| Married Families | 41.0% | 42.0% |
| Poverty Level | 9% | 14% |
| Unemployment Rate | 3.8 | 3.4 |
Population Comparison: Sand springs vs Pampa
- In Sand springs, the population is higher at 20,031, compared to 16,612 in Pampa.
- Residents in Sand springs have a higher median age of 36.6 years compared to 35.5 years in Pampa.
- Sand springs has a higher median income of $70,431 compared to $52,966 in Pampa.
- In Pampa, the percentage of married families is higher at 42.0%, compared to 41.0% in Sand springs.
- The poverty level is higher in Pampa at 14%, compared to 9% in Sand springs.
- The unemployment rate in Sand springs is higher at 3.8%, compared to 3.4% in Pampa.
Demographics
Demographics Sand springs vs Pampa provide insight into the diversity of the communities to compare.
| Demographic | Sand springs | Pampa |
|---|---|---|
| Black | 2 | 3 |
| White | 76 | 53 |
| Asian | 1 | 2 |
| Hispanic | 5 | 34 |
| Two or More Races | 9 | 7 |
| American Indian | 7 | 1 |
Demographics Comparison: Sand springs vs Pampa
- In Pampa, the percentage of Black residents is higher at 3% compared to 2% in Sand springs.
- Sand springs has a higher percentage of White residents at 76% compared to 53% in Pampa.
- In Pampa, the Asian population stands at 2%, greater than 1% in Sand springs.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 5% in Sand springs.
- More residents identify as two or more races in Sand springs at 9% compared to 7% in Pampa.
- A greater percentage of American Indian residents live in Sand springs at 7% compared to 1% in Pampa.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sand springs | Pampa |
|---|---|---|
| Mental Health Not Good | 18.6% | 19.5% |
| Physical Health Not Good | 11.8% | 14.0% |
| Depression | 26.9% | 25.4% |
| Smoking | 18.2% | 21.1% |
| Binge Drinking | 15.0% | 17.9% |
| Obesity | 35.7% | 39.7% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Sand springs vs Pampa
- In Pampa, a higher percentage report poor mental health at 19.5% compared to 18.6% in Sand springs.
- Depression is more prevalent in Sand springs at 26.9% compared to 25.4% in Pampa.
- Pampa has a higher smoking rate at 21.1% compared to 18.2% in Sand springs.
- More residents engage in binge drinking in Pampa at 17.9% compared to 15.0% in Sand springs.
- Pampa has higher obesity rates at 39.7% compared to 35.7% in Sand springs.
- Disability percentages are higher in Sand springs at 17.0% 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 | Sand springs | Pampa |
|---|---|---|
| No Schooling | 0.5% (98) | 1.4% (238) |
| High School Diploma | 16.8% (3,364) | 14.7% (2,443) |
| Less than High School | 11.3% (2,260) | 24.0% (3,994) |
| Bachelor's Degree and Higher | 15.2% (3,042) | 10.6% (1,757) |
Education Levels Comparison: Sand springs vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Sand springs.
- A higher percentage of residents in Sand springs hold a high school diploma at 16.8% compared to 14.7% in Pampa.
- The percentage of residents with less than a high school education is higher in Pampa at 24.0%, compared to 11.3% in Sand springs.
- A higher percentage of residents in Sand springs hold a bachelor's degree or higher at 15.2% compared to 10.6% in Pampa.
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.