Demographics details for Bigfork, MN vs Bartlesville, OK
Population Overview
Compare main population characteristics in Bigfork, MN vs Bartlesville, OK.
Data | Bigfork | Bartlesville |
---|---|---|
Population | 403 | 37,795 |
Median Age | 66.3 years | 37.5 years |
Median Income | $33,750 | $58,230 |
Married Families | 31.0% | 40.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 3.5 | 3.9 |
Population Comparison: Bigfork vs Bartlesville
- The population in Bartlesville is higher at 37,795, compared to 403 in Bigfork.
- Residents in Bigfork have a higher median age of 66.3 years compared to 37.5 years in Bartlesville.
- Bartlesville has a higher median income of $58,230, compared to $33,750 in Bigfork.
- In Bartlesville, the percentage of married families is higher at 40.0%, compared to 31.0% in Bigfork.
- The poverty level is higher in Bartlesville at 12%, compared to 9% in Bigfork.
- Bartlesville has a higher unemployment rate at 3.9% compared to 3.5% in Bigfork.
Demographics
Demographics Bigfork vs Bartlesville provide insight into the diversity of the communities to compare.
Demographic | Bigfork | Bartlesville |
---|---|---|
Black | 1 | 4 |
White | 93 | 70 |
Asian | Data is updating | 2 |
Hispanic | 2 | 7 |
Two or More Races | 1 | 9 |
American Indian | 3 | 8 |
Demographics Comparison: Bigfork vs Bartlesville
- In Bartlesville, the percentage of Black residents is higher at 4% compared to 1% in Bigfork.
- Bigfork has a higher percentage of White residents at 93% compared to 70% in Bartlesville.
- In Bartlesville, the Asian population stands at 2%, greater than 0% in Bigfork.
- Bartlesville has a higher percentage of Hispanic residents at 7%, compared to 2% in Bigfork.
- The percentage of residents identifying as two or more races is higher in Bartlesville at 9%, compared to 1% in Bigfork.
- In Bartlesville, the percentage of American Indian residents is higher at 8%, compared to 3% in Bigfork.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bigfork | Bartlesville |
---|---|---|
Mental Health Not Good | 16.0% | 18.0% |
Physical Health Not Good | 10.4% | 12.1% |
Depression | 24.3% | 24.9% |
Smoking | 21.9% | 19.2% |
Binge Drinking | 18.4% | 14.2% |
Obesity | 41.6% | 41.3% |
Disability Percentage | 23.0% | 16.0% |
Health Statistics Comparison: Bigfork vs Bartlesville
- In Bartlesville, a higher percentage report poor mental health at 18.0% compared to 16.0% in Bigfork.
- Higher depression rates are seen in Bartlesville at 24.9% versus 24.3% in Bigfork.
- Smoking is more prevalent in Bigfork at 21.9% compared to 19.2% in Bartlesville.
- Binge drinking is more common in Bigfork at 18.4% compared to 14.2% in Bartlesville.
- Obesity rates are higher in Bigfork at 41.6% compared to 41.3% in Bartlesville.
- Disability percentages are higher in Bigfork at 23.0% compared to 16.0% in Bartlesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bigfork | Bartlesville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (275) |
High School Diploma | 26.6% (107) | 16.6% (6,277) |
Less than High School | 9.7% (39) | 9.5% (3,604) |
Bachelor's Degree and Higher | 8.2% (33) | 22.2% (8,399) |
Education Levels Comparison: Bigfork vs Bartlesville
- In Bartlesville, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Bigfork.
- A higher percentage of residents in Bigfork hold a high school diploma at 26.6% compared to 16.6% in Bartlesville.
- More residents in Bigfork have less than a high school education at 9.7% compared to 9.5% in Bartlesville.
- In Bartlesville, a larger share of residents have a bachelor's degree or higher at 22.2% 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.