Demographics details for Oak harbor, OH vs Wiota, IA
Population Overview
Compare main population characteristics in Oak harbor, OH vs Wiota, IA.
| Data | Oak harbor | Wiota |
|---|---|---|
| Population | 2,797 | 91 |
| Median Age | 37.9 years | 70.0 years |
| Median Income | $50,362 | $73,403 |
| Married Families | 31.0% | 71.0% |
| Poverty Level | 8% | Data is updating |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Oak harbor vs Wiota
- In Oak harbor, the population is higher at 2,797, compared to 91 in Wiota.
- The median age in Wiota is higher at 70.0 years, compared to 37.9 years in Oak harbor.
- Wiota has a higher median income of $73,403, compared to $50,362 in Oak harbor.
- In Wiota, the percentage of married families is higher at 71.0%, compared to 31.0% in Oak harbor.
- Oak harbor has a higher poverty level at 8% compared to 0% in Wiota.
- The unemployment rate in Oak harbor is higher at 4.5%, compared to 3.5% in Wiota.
Demographics
Demographics Oak harbor vs Wiota provide insight into the diversity of the communities to compare.
| Demographic | Oak harbor | Wiota |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 94 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oak harbor vs Wiota
- The percentage of Black residents is the same in both Oak harbor and Wiota at 0%.
- The percentage of White residents is higher in Wiota at 100% compared to 94% in Oak harbor.
- The Asian population is larger in Oak harbor at 1% compared to 0% in Wiota.
- The Hispanic community is larger in Oak harbor at 4% compared to 0% in Wiota.
- More residents identify as two or more races in Oak harbor at 1% compared to 0% in Wiota.
- The percentage of American Indian residents is the same in both Oak harbor and Wiota at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oak harbor | Wiota |
|---|---|---|
| Mental Health Not Good | 18.4% | 15.3% |
| Physical Health Not Good | 12.3% | 9.9% |
| Depression | 25.1% | 18.3% |
| Smoking | 21.7% | 18.7% |
| Binge Drinking | 18.4% | 22.8% |
| Obesity | 38.9% | 41.9% |
| Disability Percentage | 15.0% | 27.0% |
Health Statistics Comparison: Oak harbor vs Wiota
- More residents in Oak harbor report poor mental health at 18.4% compared to 15.3% in Wiota.
- Depression is more prevalent in Oak harbor at 25.1% compared to 18.3% in Wiota.
- Smoking is more prevalent in Oak harbor at 21.7% compared to 18.7% in Wiota.
- More residents engage in binge drinking in Wiota at 22.8% compared to 18.4% in Oak harbor.
- Wiota has higher obesity rates at 41.9% compared to 38.9% in Oak harbor.
- There is a higher percentage of disabled individuals in Wiota at 27.0% compared to 15.0% in Oak harbor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oak harbor | Wiota |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.2% (2) |
| High School Diploma | 19.1% (534) | 35.2% (32) |
| Less than High School | 4.6% (130) | 4.4% (4) |
| Bachelor's Degree and Higher | 13.3% (372) | 9.9% (9) |
Education Levels Comparison: Oak harbor vs Wiota
- In Wiota, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Oak harbor.
- In Wiota, the rate of residents with high school diplomas is higher at 35.2% compared to 19.1% in Oak harbor.
- More residents in Oak harbor have less than a high school education at 4.6% compared to 4.4% in Wiota.
- A higher percentage of residents in Oak harbor hold a bachelor's degree or higher at 13.3% 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.