Demographics details for Felicity, OH vs Bigfork, MN
Population Overview
Compare main population characteristics in Felicity, OH vs Bigfork, MN.
| Data | Felicity | Bigfork |
|---|---|---|
| Population | 653 | 403 |
| Median Age | 39.5 years | 66.3 years |
| Median Income | $34,821 | $33,750 |
| Married Families | 26.0% | 31.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Felicity vs Bigfork
- In Felicity, the population is higher at 653, compared to 403 in Bigfork.
- The median age in Bigfork is higher at 66.3 years, compared to 39.5 years in Felicity.
- Felicity has a higher median income of $34,821 compared to $33,750 in Bigfork.
- In Bigfork, the percentage of married families is higher at 31.0%, compared to 26.0% in Felicity.
- Felicity has a higher poverty level at 10% compared to 9% in Bigfork.
- The unemployment rate in Felicity is higher at 4.5%, compared to 3.5% in Bigfork.
Demographics
Demographics Felicity vs Bigfork provide insight into the diversity of the communities to compare.
| Demographic | Felicity | Bigfork |
|---|---|---|
| Black | Data is updating | 1 |
| White | 100 | 93 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | 1 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Felicity vs Bigfork
- In Bigfork, the percentage of Black residents is higher at 1% compared to 0% in Felicity.
- Felicity has a higher percentage of White residents at 100% compared to 93% in Bigfork.
- Both Felicity and Bigfork have the same percentage of Asian residents at 0%.
- Bigfork has a higher percentage of Hispanic residents at 2%, compared to 0% in Felicity.
- The percentage of residents identifying as two or more races is higher in Bigfork at 1%, compared to 0% in Felicity.
- In Bigfork, the percentage of American Indian residents is higher at 3%, compared to 0% in Felicity.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Felicity | Bigfork |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.0% |
| Physical Health Not Good | 12.3% | 10.4% |
| Depression | 25.3% | 24.3% |
| Smoking | 22.8% | 21.9% |
| Binge Drinking | 19.8% | 18.4% |
| Obesity | 36.8% | 41.6% |
| Disability Percentage | 31.0% | 23.0% |
Health Statistics Comparison: Felicity vs Bigfork
- More residents in Felicity report poor mental health at 18.3% compared to 16.0% in Bigfork.
- Depression is more prevalent in Felicity at 25.3% compared to 24.3% in Bigfork.
- Smoking is more prevalent in Felicity at 22.8% compared to 21.9% in Bigfork.
- Binge drinking is more common in Felicity at 19.8% compared to 18.4% in Bigfork.
- Bigfork has higher obesity rates at 41.6% compared to 36.8% in Felicity.
- Disability percentages are higher in Felicity at 31.0% compared to 23.0% in Bigfork.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Felicity | Bigfork |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 18.2% (119) | 26.6% (107) |
| Less than High School | 25.7% (168) | 9.7% (39) |
| Bachelor's Degree and Higher | 3.5% (23) | 8.2% (33) |
Education Levels Comparison: Felicity vs Bigfork
- The percentage of residents with no formal schooling is the same in both Felicity and Bigfork at 0.0%.
- In Bigfork, the rate of residents with high school diplomas is higher at 26.6% compared to 18.2% in Felicity.
- More residents in Felicity have less than a high school education at 25.7% compared to 9.7% in Bigfork.
- In Bigfork, a larger share of residents have a bachelor's degree or higher at 8.2% compared to 3.5% in Felicity.
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.