Demographics details for Woodward, IA vs Pampa, TX
Population Overview
Compare main population characteristics in Woodward, IA vs Pampa, TX.
| Data | Woodward | Pampa |
|---|---|---|
| Population | 1,365 | 16,612 |
| Median Age | 40.6 years | 35.5 years |
| Median Income | $65,625 | $52,966 |
| Married Families | 29.0% | 42.0% |
| Poverty Level | Data is updating | 14% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Woodward vs Pampa
- The population in Pampa is higher at 16,612, compared to 1,365 in Woodward.
- Residents in Woodward have a higher median age of 40.6 years compared to 35.5 years in Pampa.
- Woodward has a higher median income of $65,625 compared to $52,966 in Pampa.
- In Pampa, the percentage of married families is higher at 42.0%, compared to 29.0% in Woodward.
- The poverty level is higher in Pampa at 14%, compared to 0% in Woodward.
- The unemployment rate in Woodward is higher at 3.5%, compared to 3.4% in Pampa.
Demographics
Demographics Woodward vs Pampa provide insight into the diversity of the communities to compare.
| Demographic | Woodward | Pampa |
|---|---|---|
| Black | 2 | 3 |
| White | 93 | 53 |
| Asian | 1 | 2 |
| Hispanic | 2 | 34 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Woodward vs Pampa
- In Pampa, the percentage of Black residents is higher at 3% compared to 2% in Woodward.
- Woodward has a higher percentage of White residents at 93% compared to 53% in Pampa.
- In Pampa, the Asian population stands at 2%, greater than 1% in Woodward.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 2% in Woodward.
- The percentage of residents identifying as two or more races is higher in Pampa at 7%, compared to 2% in Woodward.
- In Pampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Woodward.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodward | Pampa |
|---|---|---|
| Mental Health Not Good | 13.4% | 19.5% |
| Physical Health Not Good | 8.0% | 14.0% |
| Depression | 17.5% | 25.4% |
| Smoking | 13.0% | 21.1% |
| Binge Drinking | 24.2% | 17.9% |
| Obesity | 35.2% | 39.7% |
| Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Woodward vs Pampa
- In Pampa, a higher percentage report poor mental health at 19.5% compared to 13.4% in Woodward.
- Higher depression rates are seen in Pampa at 25.4% versus 17.5% in Woodward.
- Pampa has a higher smoking rate at 21.1% compared to 13.0% in Woodward.
- Binge drinking is more common in Woodward at 24.2% compared to 17.9% in Pampa.
- Pampa has higher obesity rates at 39.7% compared to 35.2% in Woodward.
- Disability percentages are higher in Woodward at 16.0% 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 | Woodward | Pampa |
|---|---|---|
| No Schooling | 0.7% (9) | 1.4% (238) |
| High School Diploma | 17.4% (237) | 14.7% (2,443) |
| Less than High School | 5.6% (77) | 24.0% (3,994) |
| Bachelor's Degree and Higher | 10.1% (138) | 10.6% (1,757) |
Education Levels Comparison: Woodward vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Woodward.
- A higher percentage of residents in Woodward hold a high school diploma at 17.4% 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 5.6% in Woodward.
- In Pampa, a larger share of residents have a bachelor's degree or higher at 10.6% compared to 10.1% in Woodward.
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.