Demographics details for Seneca, MO vs Grayling, MI
Population Overview
Compare main population characteristics in Seneca, MO vs Grayling, MI.
| Data | Seneca | Grayling |
|---|---|---|
| Population | 2,284 | 1,917 |
| Median Age | 35.3 years | 48.8 years |
| Median Income | $42,279 | $30,417 |
| Married Families | 37.0% | 26.0% |
| Poverty Level | Data is updating | 16% |
| Unemployment Rate | 3.1 | 3.5 |
Population Comparison: Seneca vs Grayling
- In Seneca, the population is higher at 2,284, compared to 1,917 in Grayling.
- The median age in Grayling is higher at 48.8 years, compared to 35.3 years in Seneca.
- Seneca has a higher median income of $42,279 compared to $30,417 in Grayling.
- A higher percentage of married families is found in Seneca at 37.0% compared to 26.0% in Grayling.
- The poverty level is higher in Grayling at 16%, compared to 0% in Seneca.
- Grayling has a higher unemployment rate at 3.5% compared to 3.1% in Seneca.
Demographics
Demographics Seneca vs Grayling provide insight into the diversity of the communities to compare.
| Demographic | Seneca | Grayling |
|---|---|---|
| Black | Data is updating | 1 |
| White | 87 | 88 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 7 |
| Two or More Races | 7 | 3 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Seneca vs Grayling
- In Grayling, the percentage of Black residents is higher at 1% compared to 0% in Seneca.
- The percentage of White residents is higher in Grayling at 88% compared to 87% in Seneca.
- In Grayling, the Asian population stands at 1%, greater than 0% in Seneca.
- Grayling has a higher percentage of Hispanic residents at 7%, compared to 3% in Seneca.
- More residents identify as two or more races in Seneca at 7% compared to 3% in Grayling.
- A greater percentage of American Indian residents live in Seneca at 3% compared to 0% in Grayling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seneca | Grayling |
|---|---|---|
| Mental Health Not Good | 19.3% | 18.0% |
| Physical Health Not Good | 14.1% | 11.7% |
| Depression | 27.1% | 26.4% |
| Smoking | 24.5% | 19.3% |
| Binge Drinking | 16.7% | 19.0% |
| Obesity | 42.3% | 37.4% |
| Disability Percentage | 20.0% | 22.0% |
Health Statistics Comparison: Seneca vs Grayling
- More residents in Seneca report poor mental health at 19.3% compared to 18.0% in Grayling.
- Depression is more prevalent in Seneca at 27.1% compared to 26.4% in Grayling.
- Smoking is more prevalent in Seneca at 24.5% compared to 19.3% in Grayling.
- More residents engage in binge drinking in Grayling at 19.0% compared to 16.7% in Seneca.
- Obesity rates are higher in Seneca at 42.3% compared to 37.4% in Grayling.
- There is a higher percentage of disabled individuals in Grayling at 22.0% compared to 20.0% in Seneca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seneca | Grayling |
|---|---|---|
| No Schooling | 0.1% (3) | 0.7% (13) |
| High School Diploma | 18.0% (411) | 17.3% (332) |
| Less than High School | 14.9% (340) | 18.2% (348) |
| Bachelor's Degree and Higher | 7.4% (170) | 10.3% (197) |
Education Levels Comparison: Seneca vs Grayling
- In Grayling, a larger percentage of residents lack formal schooling at 0.7% compared to 0.1% in Seneca.
- A higher percentage of residents in Seneca hold a high school diploma at 18.0% compared to 17.3% in Grayling.
- The percentage of residents with less than a high school education is higher in Grayling at 18.2%, compared to 14.9% in Seneca.
- In Grayling, a larger share of residents have a bachelor's degree or higher at 10.3% compared to 7.4% in Seneca.
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.