Demographics details for Rising city, NE vs Bigfork, MN
Population Overview
Compare main population characteristics in Rising city, NE vs Bigfork, MN.
| Data | Rising city | Bigfork |
|---|---|---|
| Population | 354 | 403 |
| Median Age | 44.3 years | 66.3 years |
| Median Income | $81,477 | $33,750 |
| Married Families | 45.0% | 31.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 2.7 | 3.5 |
Population Comparison: Rising city vs Bigfork
- The population in Bigfork is higher at 403, compared to 354 in Rising city.
- The median age in Bigfork is higher at 66.3 years, compared to 44.3 years in Rising city.
- Rising city has a higher median income of $81,477 compared to $33,750 in Bigfork.
- A higher percentage of married families is found in Rising city at 45.0% compared to 31.0% in Bigfork.
- The poverty level is identical in both Rising city and Bigfork at 9%.
- Bigfork has a higher unemployment rate at 3.5% compared to 2.7% in Rising city.
Demographics
Demographics Rising city vs Bigfork provide insight into the diversity of the communities to compare.
| Demographic | Rising city | Bigfork |
|---|---|---|
| Black | Data is updating | 1 |
| White | 98 | 93 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 2 |
| Two or More Races | Data is updating | 1 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Rising city vs Bigfork
- In Bigfork, the percentage of Black residents is higher at 1% compared to 0% in Rising city.
- Rising city has a higher percentage of White residents at 98% compared to 93% in Bigfork.
- Both Rising city and Bigfork have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Rising city and Bigfork at 2%.
- The percentage of residents identifying as two or more races is higher in Bigfork at 1%, compared to 0% in Rising city.
- In Bigfork, the percentage of American Indian residents is higher at 3%, compared to 0% in Rising city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rising city | Bigfork |
|---|---|---|
| Mental Health Not Good | 13.5% | 16.0% |
| Physical Health Not Good | 9.2% | 10.4% |
| Depression | 16.0% | 24.3% |
| Smoking | 16.3% | 21.9% |
| Binge Drinking | 23.1% | 18.4% |
| Obesity | 40.3% | 41.6% |
| Disability Percentage | 13.0% | 23.0% |
Health Statistics Comparison: Rising city vs Bigfork
- In Bigfork, a higher percentage report poor mental health at 16.0% compared to 13.5% in Rising city.
- Higher depression rates are seen in Bigfork at 24.3% versus 16.0% in Rising city.
- Bigfork has a higher smoking rate at 21.9% compared to 16.3% in Rising city.
- Binge drinking is more common in Rising city at 23.1% compared to 18.4% in Bigfork.
- Bigfork has higher obesity rates at 41.6% compared to 40.3% in Rising city.
- There is a higher percentage of disabled individuals in Bigfork at 23.0% compared to 13.0% in Rising city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rising city | Bigfork |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 19.8% (70) | 26.6% (107) |
| Less than High School | 9.6% (34) | 9.7% (39) |
| Bachelor's Degree and Higher | 7.6% (27) | 8.2% (33) |
Education Levels Comparison: Rising city vs Bigfork
- The percentage of residents with no formal schooling is the same in both Rising city and Bigfork at 0.0%.
- In Bigfork, the rate of residents with high school diplomas is higher at 26.6% compared to 19.8% in Rising city.
- The percentage of residents with less than a high school education is higher in Bigfork at 9.7%, compared to 9.6% in Rising city.
- In Bigfork, a larger share of residents have a bachelor's degree or higher at 8.2% compared to 7.6% in Rising city.
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.