Demographics details for Surprise, AZ vs Parkman, WY
Population Overview
Compare main population characteristics in Surprise, AZ vs Parkman, WY.
| Data | Surprise | Parkman |
|---|---|---|
| Population | 154,198 | 473 |
| Median Age | 41.5 years | 64.0 years |
| Median Income | $87,756 | $61,216 |
| Married Families | 44.0% | 93.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 3.9 | 3.0 |
Population Comparison: Surprise vs Parkman
- In Surprise, the population is higher at 154,198, compared to 473 in Parkman.
- The median age in Parkman is higher at 64.0 years, compared to 41.5 years in Surprise.
- Surprise has a higher median income of $87,756 compared to $61,216 in Parkman.
- In Parkman, the percentage of married families is higher at 93.0%, compared to 44.0% in Surprise.
- Surprise has a higher poverty level at 13% compared to 5% in Parkman.
- The unemployment rate in Surprise is higher at 3.9%, compared to 3.0% in Parkman.
Demographics
Demographics Surprise vs Parkman provide insight into the diversity of the communities to compare.
| Demographic | Surprise | Parkman |
|---|---|---|
| Black | 5 | Data is updating |
| White | 63 | 100 |
| Asian | 2 | Data is updating |
| Hispanic | 20 | Data is updating |
| Two or More Races | 9 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Surprise vs Parkman
- A higher percentage of Black residents are in Surprise at 5% compared to 0% in Parkman.
- The percentage of White residents is higher in Parkman at 100% compared to 63% in Surprise.
- The Asian population is larger in Surprise at 2% compared to 0% in Parkman.
- The Hispanic community is larger in Surprise at 20% compared to 0% in Parkman.
- More residents identify as two or more races in Surprise at 9% compared to 0% in Parkman.
- A greater percentage of American Indian residents live in Surprise at 1% compared to 0% in Parkman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Surprise | Parkman |
|---|---|---|
| Mental Health Not Good | 17.0% | 14.9% |
| Physical Health Not Good | 10.1% | 9.8% |
| Depression | 20.1% | 20.5% |
| Smoking | 14.4% | 16.9% |
| Binge Drinking | 18.5% | 19.5% |
| Obesity | 30.1% | 30.3% |
| Disability Percentage | 11.0% | 39.0% |
Health Statistics Comparison: Surprise vs Parkman
- More residents in Surprise report poor mental health at 17.0% compared to 14.9% in Parkman.
- Higher depression rates are seen in Parkman at 20.5% versus 20.1% in Surprise.
- Parkman has a higher smoking rate at 16.9% compared to 14.4% in Surprise.
- More residents engage in binge drinking in Parkman at 19.5% compared to 18.5% in Surprise.
- Parkman has higher obesity rates at 30.3% compared to 30.1% in Surprise.
- There is a higher percentage of disabled individuals in Parkman at 39.0% compared to 11.0% in Surprise.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Surprise | Parkman |
|---|---|---|
| No Schooling | 0.5% (754) | 0.0% (Data is updating) |
| High School Diploma | 13.7% (21,050) | 20.9% (99) |
| Less than High School | 7.6% (11,792) | 9.3% (44) |
| Bachelor's Degree and Higher | 19.9% (30,735) | 32.1% (152) |
Education Levels Comparison: Surprise vs Parkman
- A higher percentage of residents in Surprise have no formal schooling at 0.5% compared to 0.0% in Parkman.
- In Parkman, the rate of residents with high school diplomas is higher at 20.9% compared to 13.7% in Surprise.
- The percentage of residents with less than a high school education is higher in Parkman at 9.3%, compared to 7.6% in Surprise.
- In Parkman, a larger share of residents have a bachelor's degree or higher at 32.1% compared to 19.9% in Surprise.
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.