Demographics details for Beaverton, OR vs Pampa, TX
Population Overview
Compare main population characteristics in Beaverton, OR vs Pampa, TX.
Data | Beaverton | Pampa |
---|---|---|
Population | 97,053 | 16,612 |
Median Age | 36.7 years | 35.5 years |
Median Income | $88,899 | $52,966 |
Married Families | 38.0% | 42.0% |
Poverty Level | 7% | 14% |
Unemployment Rate | 3.6 | 3.4 |
Population Comparison: Beaverton vs Pampa
- In Beaverton, the population is higher at 97,053, compared to 16,612 in Pampa.
- Residents in Beaverton have a higher median age of 36.7 years compared to 35.5 years in Pampa.
- Beaverton has a higher median income of $88,899 compared to $52,966 in Pampa.
- In Pampa, the percentage of married families is higher at 42.0%, compared to 38.0% in Beaverton.
- The poverty level is higher in Pampa at 14%, compared to 7% in Beaverton.
- The unemployment rate in Beaverton is higher at 3.6%, compared to 3.4% in Pampa.
Demographics
Demographics Beaverton vs Pampa provide insight into the diversity of the communities to compare.
Demographic | Beaverton | Pampa |
---|---|---|
Black | 3 | 3 |
White | 57 | 53 |
Asian | 12 | 2 |
Hispanic | 18 | 34 |
Two or More Races | 10 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Beaverton vs Pampa
- The percentage of Black residents is the same in both Beaverton and Pampa at 3%.
- Beaverton has a higher percentage of White residents at 57% compared to 53% in Pampa.
- The Asian population is larger in Beaverton at 12% compared to 2% in Pampa.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 18% in Beaverton.
- More residents identify as two or more races in Beaverton at 10% compared to 7% in Pampa.
- In Pampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Beaverton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Beaverton | Pampa |
---|---|---|
Mental Health Not Good | 15.6% | 19.5% |
Physical Health Not Good | 9.3% | 14.0% |
Depression | 22.9% | 25.4% |
Smoking | 10.9% | 21.1% |
Binge Drinking | 16.6% | 17.9% |
Obesity | 31.3% | 39.7% |
Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Beaverton vs Pampa
- In Pampa, a higher percentage report poor mental health at 19.5% compared to 15.6% in Beaverton.
- Higher depression rates are seen in Pampa at 25.4% versus 22.9% in Beaverton.
- Pampa has a higher smoking rate at 21.1% compared to 10.9% in Beaverton.
- More residents engage in binge drinking in Pampa at 17.9% compared to 16.6% in Beaverton.
- Pampa has higher obesity rates at 39.7% compared to 31.3% in Beaverton.
- There is a higher percentage of disabled individuals in Pampa at 12.0% compared to 11.0% in Beaverton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Beaverton | Pampa |
---|---|---|
No Schooling | 0.6% (619) | 1.4% (238) |
High School Diploma | 9.8% (9,471) | 14.7% (2,443) |
Less than High School | 7.2% (7,010) | 24.0% (3,994) |
Bachelor's Degree and Higher | 34.9% (33,872) | 10.6% (1,757) |
Education Levels Comparison: Beaverton vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 0.6% in Beaverton.
- In Pampa, the rate of residents with high school diplomas is higher at 14.7% compared to 9.8% in Beaverton.
- The percentage of residents with less than a high school education is higher in Pampa at 24.0%, compared to 7.2% in Beaverton.
- A higher percentage of residents in Beaverton hold a bachelor's degree or higher at 34.9% 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.