Demographics details for Index, WA vs Senecaville, OH
Population Overview
Compare main population characteristics in Index, WA vs Senecaville, OH.
| Data | Index | Senecaville |
|---|---|---|
| Population | 156 | 415 |
| Median Age | 47.6 years | 36.4 years |
| Median Income | $67,188 | $48,036 |
| Married Families | 29.0% | 43.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Index vs Senecaville
- The population in Senecaville is higher at 415, compared to 156 in Index.
- Residents in Index have a higher median age of 47.6 years compared to 36.4 years in Senecaville.
- Index has a higher median income of $67,188 compared to $48,036 in Senecaville.
- In Senecaville, the percentage of married families is higher at 43.0%, compared to 29.0% in Index.
- The poverty level is higher in Senecaville at 10%, compared to 6% in Index.
- The unemployment rate is the same in both Index and Senecaville at 4.5%.
Demographics
Demographics Index vs Senecaville provide insight into the diversity of the communities to compare.
| Demographic | Index | Senecaville |
|---|---|---|
| Black | Data is updating | 3 |
| White | 96 | 89 |
| Asian | 4 | Data is updating |
| Hispanic | Data is updating | 1 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Index vs Senecaville
- In Senecaville, the percentage of Black residents is higher at 3% compared to 0% in Index.
- Index has a higher percentage of White residents at 96% compared to 89% in Senecaville.
- The Asian population is larger in Index at 4% compared to 0% in Senecaville.
- Senecaville has a higher percentage of Hispanic residents at 1%, compared to 0% in Index.
- The percentage of residents identifying as two or more races is higher in Senecaville at 7%, compared to 0% in Index.
- The percentage of American Indian residents is the same in both Index and Senecaville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Index | Senecaville |
|---|---|---|
| Mental Health Not Good | 17.1% | 18.4% |
| Physical Health Not Good | 12.3% | 13.1% |
| Depression | 31.2% | 24.5% |
| Smoking | 14.1% | 22.6% |
| Binge Drinking | 15.8% | 18.7% |
| Obesity | 35.7% | 42.9% |
| Disability Percentage | 9.0% | 26.0% |
Health Statistics Comparison: Index vs Senecaville
- In Senecaville, a higher percentage report poor mental health at 18.4% compared to 17.1% in Index.
- Depression is more prevalent in Index at 31.2% compared to 24.5% in Senecaville.
- Senecaville has a higher smoking rate at 22.6% compared to 14.1% in Index.
- More residents engage in binge drinking in Senecaville at 18.7% compared to 15.8% in Index.
- Senecaville has higher obesity rates at 42.9% compared to 35.7% in Index.
- There is a higher percentage of disabled individuals in Senecaville at 26.0% compared to 9.0% in Index.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Index | Senecaville |
|---|---|---|
| No Schooling | 7.1% (11) | 0.0% (Data is updating) |
| High School Diploma | 12.8% (20) | 31.3% (130) |
| Less than High School | 50.0% (78) | 19.3% (80) |
| Bachelor's Degree and Higher | 5.1% (8) | 5.3% (22) |
Education Levels Comparison: Index vs Senecaville
- A higher percentage of residents in Index have no formal schooling at 7.1% compared to 0.0% in Senecaville.
- In Senecaville, the rate of residents with high school diplomas is higher at 31.3% compared to 12.8% in Index.
- More residents in Index have less than a high school education at 50.0% compared to 19.3% in Senecaville.
- In Senecaville, a larger share of residents have a bachelor's degree or higher at 5.3% compared to 5.1% in Index.
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.