Demographics details for Bigfork, MN vs Surprise, AZ
Population Overview
Compare main population characteristics in Bigfork, MN vs Surprise, AZ.
Data | Bigfork | Surprise |
---|---|---|
Population | 403 | 154,198 |
Median Age | 66.3 years | 41.5 years |
Median Income | $33,750 | $87,756 |
Married Families | 31.0% | 44.0% |
Poverty Level | 9% | 13% |
Unemployment Rate | 3.5 | 3.9 |
Population Comparison: Bigfork vs Surprise
- The population in Surprise is higher at 154,198, compared to 403 in Bigfork.
- Residents in Bigfork have a higher median age of 66.3 years compared to 41.5 years in Surprise.
- Surprise has a higher median income of $87,756, compared to $33,750 in Bigfork.
- In Surprise, the percentage of married families is higher at 44.0%, compared to 31.0% in Bigfork.
- The poverty level is higher in Surprise at 13%, compared to 9% in Bigfork.
- Surprise has a higher unemployment rate at 3.9% compared to 3.5% in Bigfork.
Demographics
Demographics Bigfork vs Surprise provide insight into the diversity of the communities to compare.
Demographic | Bigfork | Surprise |
---|---|---|
Black | 1 | 5 |
White | 93 | 63 |
Asian | Data is updating | 2 |
Hispanic | 2 | 20 |
Two or More Races | 1 | 9 |
American Indian | 3 | 1 |
Demographics Comparison: Bigfork vs Surprise
- In Surprise, the percentage of Black residents is higher at 5% compared to 1% in Bigfork.
- Bigfork has a higher percentage of White residents at 93% compared to 63% in Surprise.
- In Surprise, the Asian population stands at 2%, greater than 0% in Bigfork.
- Surprise has a higher percentage of Hispanic residents at 20%, compared to 2% in Bigfork.
- The percentage of residents identifying as two or more races is higher in Surprise at 9%, compared to 1% in Bigfork.
- A greater percentage of American Indian residents live in Bigfork at 3% compared to 1% in Surprise.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bigfork | Surprise |
---|---|---|
Mental Health Not Good | 16.0% | 17.0% |
Physical Health Not Good | 10.4% | 10.1% |
Depression | 24.3% | 20.1% |
Smoking | 21.9% | 14.4% |
Binge Drinking | 18.4% | 18.5% |
Obesity | 41.6% | 30.1% |
Disability Percentage | 23.0% | 11.0% |
Health Statistics Comparison: Bigfork vs Surprise
- In Surprise, a higher percentage report poor mental health at 17.0% compared to 16.0% in Bigfork.
- Depression is more prevalent in Bigfork at 24.3% compared to 20.1% in Surprise.
- Smoking is more prevalent in Bigfork at 21.9% compared to 14.4% in Surprise.
- More residents engage in binge drinking in Surprise at 18.5% compared to 18.4% in Bigfork.
- Obesity rates are higher in Bigfork at 41.6% compared to 30.1% in Surprise.
- Disability percentages are higher in Bigfork at 23.0% 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 | Bigfork | Surprise |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (754) |
High School Diploma | 26.6% (107) | 13.7% (21,050) |
Less than High School | 9.7% (39) | 7.6% (11,792) |
Bachelor's Degree and Higher | 8.2% (33) | 19.9% (30,735) |
Education Levels Comparison: Bigfork vs Surprise
- In Surprise, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Bigfork.
- A higher percentage of residents in Bigfork hold a high school diploma at 26.6% compared to 13.7% in Surprise.
- More residents in Bigfork have less than a high school education at 9.7% compared to 7.6% in Surprise.
- In Surprise, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 8.2% in Bigfork.
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.