Demographics details for Millersport, OH vs Washta, IA
Population Overview
Compare main population characteristics in Millersport, OH vs Washta, IA.
| Data | Millersport | Washta |
|---|---|---|
| Population | 970 | 205 |
| Median Age | 43.9 years | 59.3 years |
| Median Income | $69,063 | $49,500 |
| Married Families | 47.0% | 32.0% |
| Poverty Level | 6% | 6% |
| Unemployment Rate | 4.5 | 2.3 |
Population Comparison: Millersport vs Washta
- In Millersport, the population is higher at 970, compared to 205 in Washta.
- The median age in Washta is higher at 59.3 years, compared to 43.9 years in Millersport.
- Millersport has a higher median income of $69,063 compared to $49,500 in Washta.
- A higher percentage of married families is found in Millersport at 47.0% compared to 32.0% in Washta.
- The poverty level is identical in both Millersport and Washta at 6%.
- The unemployment rate in Millersport is higher at 4.5%, compared to 2.3% in Washta.
Demographics
Demographics Millersport vs Washta provide insight into the diversity of the communities to compare.
| Demographic | Millersport | Washta |
|---|---|---|
| Black | 1 | Data is updating |
| White | 94 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 4 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Millersport vs Washta
- A higher percentage of Black residents are in Millersport at 1% compared to 0% in Washta.
- The percentage of White residents is the same in both Millersport and Washta at 94%.
- Both Millersport and Washta have the same percentage of Asian residents at 0%.
- Washta has a higher percentage of Hispanic residents at 4%, compared to 2% in Millersport.
- More residents identify as two or more races in Millersport at 3% compared to 2% in Washta.
- The percentage of American Indian residents is the same in both Millersport and Washta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Millersport | Washta |
|---|---|---|
| Mental Health Not Good | 18.1% | 15.6% |
| Physical Health Not Good | 12.3% | 9.3% |
| Depression | 25.4% | 19.0% |
| Smoking | 21.3% | 16.8% |
| Binge Drinking | 20.1% | 21.8% |
| Obesity | 45.0% | 40.8% |
| Disability Percentage | 19.0% | 17.0% |
Health Statistics Comparison: Millersport vs Washta
- More residents in Millersport report poor mental health at 18.1% compared to 15.6% in Washta.
- Depression is more prevalent in Millersport at 25.4% compared to 19.0% in Washta.
- Smoking is more prevalent in Millersport at 21.3% compared to 16.8% in Washta.
- More residents engage in binge drinking in Washta at 21.8% compared to 20.1% in Millersport.
- Obesity rates are higher in Millersport at 45.0% compared to 40.8% in Washta.
- Disability percentages are higher in Millersport at 19.0% compared to 17.0% in Washta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Millersport | Washta |
|---|---|---|
| No Schooling | 0.4% (4) | 0.0% (Data is updating) |
| High School Diploma | 24.7% (240) | 30.2% (62) |
| Less than High School | 8.7% (84) | 17.6% (36) |
| Bachelor's Degree and Higher | 14.8% (144) | 8.3% (17) |
Education Levels Comparison: Millersport vs Washta
- A higher percentage of residents in Millersport have no formal schooling at 0.4% compared to 0.0% in Washta.
- In Washta, the rate of residents with high school diplomas is higher at 30.2% compared to 24.7% in Millersport.
- The percentage of residents with less than a high school education is higher in Washta at 17.6%, compared to 8.7% in Millersport.
- A higher percentage of residents in Millersport hold a bachelor's degree or higher at 14.8% compared to 8.3% in Washta.
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.