Demographics details for Farson, WY vs Pasadena, TX
Population Overview
Compare main population characteristics in Farson, WY vs Pasadena, TX.
| Data | Farson | Pasadena |
|---|---|---|
| Population | 217 | 147,662 |
| Median Age | 44.5 years | 32.6 years |
| Median Income | $42,721 | $64,698 |
| Married Families | 19.0% | 37.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 5.9 |
Population Comparison: Farson vs Pasadena
- The population in Pasadena is higher at 147,662, compared to 217 in Farson.
- Residents in Farson have a higher median age of 44.5 years compared to 32.6 years in Pasadena.
- Pasadena has a higher median income of $64,698, compared to $42,721 in Farson.
- In Pasadena, the percentage of married families is higher at 37.0%, compared to 19.0% in Farson.
- The poverty level is higher in Pasadena at 12%, compared to 10% in Farson.
- Pasadena has a higher unemployment rate at 5.9% compared to 3.5% in Farson.
Demographics
Demographics Farson vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Farson | Pasadena |
|---|---|---|
| Black | Data is updating | 3 |
| White | 100 | -1 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 72 |
| Two or More Races | Data is updating | 23 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Farson vs Pasadena
- In Pasadena, the percentage of Black residents is higher at 3% compared to 0% in Farson.
- Farson has a higher percentage of White residents at 100% compared to -1% in Pasadena.
- In Pasadena, the Asian population stands at 2%, greater than 0% in Farson.
- Pasadena has a higher percentage of Hispanic residents at 72%, compared to 0% in Farson.
- The percentage of residents identifying as two or more races is higher in Pasadena at 23%, compared to 0% in Farson.
- In Pasadena, the percentage of American Indian residents is higher at 1%, compared to 0% in Farson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Farson | Pasadena |
|---|---|---|
| Mental Health Not Good | 15.7% | 17.6% |
| Physical Health Not Good | 9.9% | 13.3% |
| Depression | 20.3% | 21.7% |
| Smoking | 17.2% | 18.0% |
| Binge Drinking | 19.0% | 18.1% |
| Obesity | 32.5% | 37.9% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Farson vs Pasadena
- In Pasadena, a higher percentage report poor mental health at 17.6% compared to 15.7% in Farson.
- Higher depression rates are seen in Pasadena at 21.7% versus 20.3% in Farson.
- Pasadena has a higher smoking rate at 18.0% compared to 17.2% in Farson.
- Binge drinking is more common in Farson at 19.0% compared to 18.1% in Pasadena.
- Pasadena has higher obesity rates at 37.9% compared to 32.5% in Farson.
- Disability percentages are higher in Farson at 13.0% compared to 11.0% in Pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Farson | Pasadena |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.0% (4,357) |
| High School Diploma | 13.8% (30) | 16.2% (23,948) |
| Less than High School | 0.0% (Data is updating) | 33.1% (48,806) |
| Bachelor's Degree and Higher | 16.1% (35) | 9.9% (14,596) |
Education Levels Comparison: Farson vs Pasadena
- In Pasadena, a larger percentage of residents lack formal schooling at 3.0% compared to 0.0% in Farson.
- In Pasadena, the rate of residents with high school diplomas is higher at 16.2% compared to 13.8% in Farson.
- The percentage of residents with less than a high school education is higher in Pasadena at 33.1%, compared to 0.0% in Farson.
- A higher percentage of residents in Farson hold a bachelor's degree or higher at 16.1% compared to 9.9% in Pasadena.
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.