Demographics details for Senecaville, OH vs Grove, OK
Population Overview
Compare main population characteristics in Senecaville, OH vs Grove, OK.
| Data | Senecaville | Grove |
|---|---|---|
| Population | 415 | 7,215 |
| Median Age | 36.4 years | 46.9 years |
| Median Income | $48,036 | $56,469 |
| Married Families | 43.0% | 44.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Senecaville vs Grove
- The population in Grove is higher at 7,215, compared to 415 in Senecaville.
- The median age in Grove is higher at 46.9 years, compared to 36.4 years in Senecaville.
- Grove has a higher median income of $56,469, compared to $48,036 in Senecaville.
- In Grove, the percentage of married families is higher at 44.0%, compared to 43.0% in Senecaville.
- The poverty level is higher in Grove at 11%, compared to 10% in Senecaville.
- The unemployment rate in Senecaville is higher at 4.5%, compared to 3.5% in Grove.
Demographics
Demographics Senecaville vs Grove provide insight into the diversity of the communities to compare.
| Demographic | Senecaville | Grove |
|---|---|---|
| Black | 3 | 1 |
| White | 89 | 70 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 7 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | 11 |
Demographics Comparison: Senecaville vs Grove
- A higher percentage of Black residents are in Senecaville at 3% compared to 1% in Grove.
- Senecaville has a higher percentage of White residents at 89% compared to 70% in Grove.
- Both Senecaville and Grove have the same percentage of Asian residents at 0%.
- Grove has a higher percentage of Hispanic residents at 7%, compared to 1% in Senecaville.
- The percentage of residents identifying as two or more races is higher in Grove at 11%, compared to 7% in Senecaville.
- In Grove, the percentage of American Indian residents is higher at 11%, compared to 0% in Senecaville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Senecaville | Grove |
|---|---|---|
| Mental Health Not Good | 18.4% | 18.9% |
| Physical Health Not Good | 13.1% | 12.5% |
| Depression | 24.5% | 25.4% |
| Smoking | 22.6% | 19.6% |
| Binge Drinking | 18.7% | 15.1% |
| Obesity | 42.9% | 38.3% |
| Disability Percentage | 26.0% | 21.0% |
Health Statistics Comparison: Senecaville vs Grove
- In Grove, a higher percentage report poor mental health at 18.9% compared to 18.4% in Senecaville.
- Higher depression rates are seen in Grove at 25.4% versus 24.5% in Senecaville.
- Smoking is more prevalent in Senecaville at 22.6% compared to 19.6% in Grove.
- Binge drinking is more common in Senecaville at 18.7% compared to 15.1% in Grove.
- Obesity rates are higher in Senecaville at 42.9% compared to 38.3% in Grove.
- Disability percentages are higher in Senecaville at 26.0% compared to 21.0% in Grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Senecaville | Grove |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (20) |
| High School Diploma | 31.3% (130) | 14.8% (1,068) |
| Less than High School | 19.3% (80) | 11.5% (832) |
| Bachelor's Degree and Higher | 5.3% (22) | 20.3% (1,463) |
Education Levels Comparison: Senecaville vs Grove
- In Grove, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Senecaville.
- A higher percentage of residents in Senecaville hold a high school diploma at 31.3% compared to 14.8% in Grove.
- More residents in Senecaville have less than a high school education at 19.3% compared to 11.5% in Grove.
- In Grove, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 5.3% in Senecaville.
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.