Demographics details for Ithaca, MI vs Saint marys, WV
Population Overview
Compare main population characteristics in Ithaca, MI vs Saint marys, WV.
| Data | Ithaca | Saint marys |
|---|---|---|
| Population | 2,808 | 1,808 |
| Median Age | 42.2 years | 40.5 years |
| Median Income | $60,389 | $53,125 |
| Married Families | 39.0% | 52.0% |
| Poverty Level | 13% | 11% |
| Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Ithaca vs Saint marys
- In Ithaca, the population is higher at 2,808, compared to 1,808 in Saint marys.
- Residents in Ithaca have a higher median age of 42.2 years compared to 40.5 years in Saint marys.
- Ithaca has a higher median income of $60,389 compared to $53,125 in Saint marys.
- In Saint marys, the percentage of married families is higher at 52.0%, compared to 39.0% in Ithaca.
- Ithaca has a higher poverty level at 13% compared to 11% in Saint marys.
- The unemployment rate in Ithaca is higher at 4.5%, compared to 4.3% in Saint marys.
Demographics
Demographics Ithaca vs Saint marys provide insight into the diversity of the communities to compare.
| Demographic | Ithaca | Saint marys |
|---|---|---|
| Black | 1 | Data is updating |
| White | 87 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | 4 |
| Two or More Races | 3 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Ithaca vs Saint marys
- A higher percentage of Black residents are in Ithaca at 1% compared to 0% in Saint marys.
- The percentage of White residents is higher in Saint marys at 91% compared to 87% in Ithaca.
- Both Ithaca and Saint marys have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Ithaca at 8% compared to 4% in Saint marys.
- The percentage of residents identifying as two or more races is higher in Saint marys at 5%, compared to 3% in Ithaca.
- A greater percentage of American Indian residents live in Ithaca at 1% compared to 0% in Saint marys.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ithaca | Saint marys |
|---|---|---|
| Mental Health Not Good | 18.5% | 20.2% |
| Physical Health Not Good | 12.1% | 14.0% |
| Depression | 27.0% | 28.5% |
| Smoking | 21.2% | 22.0% |
| Binge Drinking | 18.0% | 14.5% |
| Obesity | 36.4% | 44.3% |
| Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Ithaca vs Saint marys
- In Saint marys, a higher percentage report poor mental health at 20.2% compared to 18.5% in Ithaca.
- Higher depression rates are seen in Saint marys at 28.5% versus 27.0% in Ithaca.
- Saint marys has a higher smoking rate at 22.0% compared to 21.2% in Ithaca.
- Binge drinking is more common in Ithaca at 18.0% compared to 14.5% in Saint marys.
- Saint marys has higher obesity rates at 44.3% compared to 36.4% in Ithaca.
- There is a higher percentage of disabled individuals in Saint marys at 21.0% compared to 16.0% in Ithaca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ithaca | Saint marys |
|---|---|---|
| No Schooling | 1.5% (43) | 0.0% (Data is updating) |
| High School Diploma | 21.4% (602) | 34.4% (622) |
| Less than High School | 13.1% (368) | 15.7% (284) |
| Bachelor's Degree and Higher | 17.6% (495) | 15.0% (272) |
Education Levels Comparison: Ithaca vs Saint marys
- A higher percentage of residents in Ithaca have no formal schooling at 1.5% compared to 0.0% in Saint marys.
- In Saint marys, the rate of residents with high school diplomas is higher at 34.4% compared to 21.4% in Ithaca.
- The percentage of residents with less than a high school education is higher in Saint marys at 15.7%, compared to 13.1% in Ithaca.
- A higher percentage of residents in Ithaca hold a bachelor's degree or higher at 17.6% compared to 15.0% in Saint marys.
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.