Demographics details for Willow street, PA vs Mission, TX
Population Overview
Compare main population characteristics in Willow street, PA vs Mission, TX.
| Data | Willow street | Mission |
|---|---|---|
| Population | 9,640 | 86,635 |
| Median Age | 52.8 years | 33.7 years |
| Median Income | $100,727 | $56,421 |
| Married Families | 53.0% | 38.0% |
| Poverty Level | 5% | 20% |
| Unemployment Rate | 3.2 | 6.3 |
Population Comparison: Willow street vs Mission
- The population in Mission is higher at 86,635, compared to 9,640 in Willow street.
- Residents in Willow street have a higher median age of 52.8 years compared to 33.7 years in Mission.
- Willow street has a higher median income of $100,727 compared to $56,421 in Mission.
- A higher percentage of married families is found in Willow street at 53.0% compared to 38.0% in Mission.
- The poverty level is higher in Mission at 20%, compared to 5% in Willow street.
- Mission has a higher unemployment rate at 6.3% compared to 3.2% in Willow street.
Demographics
Demographics Willow street vs Mission provide insight into the diversity of the communities to compare.
| Demographic | Willow street | Mission |
|---|---|---|
| Black | 2 | 1 |
| White | 81 | -29 |
| Asian | 4 | 2 |
| Hispanic | 7 | 88 |
| Two or More Races | 5 | 37 |
| American Indian | 1 | 1 |
Demographics Comparison: Willow street vs Mission
- A higher percentage of Black residents are in Willow street at 2% compared to 1% in Mission.
- Willow street has a higher percentage of White residents at 81% compared to -29% in Mission.
- The Asian population is larger in Willow street at 4% compared to 2% in Mission.
- Mission has a higher percentage of Hispanic residents at 88%, compared to 7% in Willow street.
- The percentage of residents identifying as two or more races is higher in Mission at 37%, compared to 5% in Willow street.
- The percentage of American Indian residents is the same in both Willow street and Mission at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Willow street | Mission |
|---|---|---|
| Mental Health Not Good | 14.8% | 17.0% |
| Physical Health Not Good | 9.7% | 14.0% |
| Depression | 22.3% | 19.0% |
| Smoking | 14.9% | 14.2% |
| Binge Drinking | 18.7% | 17.1% |
| Obesity | 32.9% | 41.9% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Willow street vs Mission
- In Mission, a higher percentage report poor mental health at 17.0% compared to 14.8% in Willow street.
- Depression is more prevalent in Willow street at 22.3% compared to 19.0% in Mission.
- Smoking is more prevalent in Willow street at 14.9% compared to 14.2% in Mission.
- Binge drinking is more common in Willow street at 18.7% compared to 17.1% in Mission.
- Mission has higher obesity rates at 41.9% compared to 32.9% in Willow street.
- Disability percentages are higher in Willow street at 17.0% compared to 13.0% in Mission.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Willow street | Mission |
|---|---|---|
| No Schooling | 0.3% (32) | 1.8% (1,566) |
| High School Diploma | 17.8% (1,717) | 11.0% (9,541) |
| Less than High School | 7.6% (734) | 29.1% (25,172) |
| Bachelor's Degree and Higher | 36.5% (3,517) | 17.1% (14,851) |
Education Levels Comparison: Willow street vs Mission
- In Mission, a larger percentage of residents lack formal schooling at 1.8% compared to 0.3% in Willow street.
- A higher percentage of residents in Willow street hold a high school diploma at 17.8% compared to 11.0% in Mission.
- The percentage of residents with less than a high school education is higher in Mission at 29.1%, compared to 7.6% in Willow street.
- A higher percentage of residents in Willow street hold a bachelor's degree or higher at 36.5% compared to 17.1% in Mission.
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.