Demographics details for Fishing creek, MD vs Wiota, IA
Population Overview
Compare main population characteristics in Fishing creek, MD vs Wiota, IA.
| Data | Fishing creek | Wiota |
|---|---|---|
| Population | 235 | 91 |
| Median Age | 55.9 years | 70.0 years |
| Median Income | $76,250 | $73,403 |
| Married Families | 58.0% | 71.0% |
| Poverty Level | Data is updating | Data is updating |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Fishing creek vs Wiota
- In Fishing creek, the population is higher at 235, compared to 91 in Wiota.
- The median age in Wiota is higher at 70.0 years, compared to 55.9 years in Fishing creek.
- Fishing creek has a higher median income of $76,250 compared to $73,403 in Wiota.
- In Wiota, the percentage of married families is higher at 71.0%, compared to 58.0% in Fishing creek.
- The poverty level is identical in both Fishing creek and Wiota at 0%.
- The unemployment rate is the same in both Fishing creek and Wiota at 3.5%.
Demographics
Demographics Fishing creek vs Wiota provide insight into the diversity of the communities to compare.
| Demographic | Fishing creek | Wiota |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fishing creek vs Wiota
- The percentage of Black residents is the same in both Fishing creek and Wiota at 0%.
- The percentage of White residents is the same in both Fishing creek and Wiota at 100%.
- Both Fishing creek and Wiota have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Fishing creek and Wiota at 0%.
- Both Fishing creek and Wiota have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Fishing creek and Wiota at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fishing creek | Wiota |
|---|---|---|
| Mental Health Not Good | 15.3% | 15.3% |
| Physical Health Not Good | 9.6% | 9.9% |
| Depression | 21.2% | 18.3% |
| Smoking | 15.1% | 18.7% |
| Binge Drinking | 16.8% | 22.8% |
| Obesity | 33.1% | 41.9% |
| Disability Percentage | 28.0% | 27.0% |
Health Statistics Comparison: Fishing creek vs Wiota
- Poor mental health levels are equal in both Fishing creek and Wiota at 15.3%.
- Depression is more prevalent in Fishing creek at 21.2% compared to 18.3% in Wiota.
- Wiota has a higher smoking rate at 18.7% compared to 15.1% in Fishing creek.
- More residents engage in binge drinking in Wiota at 22.8% compared to 16.8% in Fishing creek.
- Wiota has higher obesity rates at 41.9% compared to 33.1% in Fishing creek.
- Disability percentages are higher in Fishing creek at 28.0% compared to 27.0% in Wiota.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fishing creek | Wiota |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.2% (2) |
| High School Diploma | 34.5% (81) | 35.2% (32) |
| Less than High School | 0.0% (Data is updating) | 4.4% (4) |
| Bachelor's Degree and Higher | 16.2% (38) | 9.9% (9) |
Education Levels Comparison: Fishing creek vs Wiota
- In Wiota, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Fishing creek.
- In Wiota, the rate of residents with high school diplomas is higher at 35.2% compared to 34.5% in Fishing creek.
- The percentage of residents with less than a high school education is higher in Wiota at 4.4%, compared to 0.0% in Fishing creek.
- A higher percentage of residents in Fishing creek hold a bachelor's degree or higher at 16.2% compared to 9.9% in Wiota.
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.