Demographics details for Ithaca, MI vs Penngrove, CA
Population Overview
Compare main population characteristics in Ithaca, MI vs Penngrove, CA.
| Data | Ithaca | Penngrove |
|---|---|---|
| Population | 2,808 | 2,184 |
| Median Age | 42.2 years | 59.0 years |
| Median Income | $60,389 | $97,237 |
| Married Families | 39.0% | 47.0% |
| Poverty Level | 13% | 6% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Ithaca vs Penngrove
- In Ithaca, the population is higher at 2,808, compared to 2,184 in Penngrove.
- The median age in Penngrove is higher at 59.0 years, compared to 42.2 years in Ithaca.
- Penngrove has a higher median income of $97,237, compared to $60,389 in Ithaca.
- In Penngrove, the percentage of married families is higher at 47.0%, compared to 39.0% in Ithaca.
- Ithaca has a higher poverty level at 13% compared to 6% in Penngrove.
- The unemployment rate in Ithaca is higher at 4.5%, compared to 4.2% in Penngrove.
Demographics
Demographics Ithaca vs Penngrove provide insight into the diversity of the communities to compare.
| Demographic | Ithaca | Penngrove |
|---|---|---|
| Black | 1 | Data is updating |
| White | 87 | 60 |
| Asian | Data is updating | 4 |
| Hispanic | 8 | 27 |
| Two or More Races | 3 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Ithaca vs Penngrove
- A higher percentage of Black residents are in Ithaca at 1% compared to 0% in Penngrove.
- Ithaca has a higher percentage of White residents at 87% compared to 60% in Penngrove.
- In Penngrove, the Asian population stands at 4%, greater than 0% in Ithaca.
- Penngrove has a higher percentage of Hispanic residents at 27%, compared to 8% in Ithaca.
- The percentage of residents identifying as two or more races is higher in Penngrove at 9%, compared to 3% in Ithaca.
- A greater percentage of American Indian residents live in Ithaca at 1% compared to 0% in Penngrove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ithaca | Penngrove |
|---|---|---|
| Mental Health Not Good | 18.5% | 16.6% |
| Physical Health Not Good | 12.1% | 10.5% |
| Depression | 27.0% | 21.9% |
| Smoking | 21.2% | 12.5% |
| Binge Drinking | 18.0% | 20.4% |
| Obesity | 36.4% | 28.8% |
| Disability Percentage | 16.0% | 18.0% |
Health Statistics Comparison: Ithaca vs Penngrove
- More residents in Ithaca report poor mental health at 18.5% compared to 16.6% in Penngrove.
- Depression is more prevalent in Ithaca at 27.0% compared to 21.9% in Penngrove.
- Smoking is more prevalent in Ithaca at 21.2% compared to 12.5% in Penngrove.
- More residents engage in binge drinking in Penngrove at 20.4% compared to 18.0% in Ithaca.
- Obesity rates are higher in Ithaca at 36.4% compared to 28.8% in Penngrove.
- There is a higher percentage of disabled individuals in Penngrove at 18.0% 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 | Penngrove |
|---|---|---|
| No Schooling | 1.5% (43) | 1.0% (21) |
| High School Diploma | 21.4% (602) | 7.3% (160) |
| Less than High School | 13.1% (368) | 7.4% (162) |
| Bachelor's Degree and Higher | 17.6% (495) | 35.2% (769) |
Education Levels Comparison: Ithaca vs Penngrove
- A higher percentage of residents in Ithaca have no formal schooling at 1.5% compared to 1.0% in Penngrove.
- A higher percentage of residents in Ithaca hold a high school diploma at 21.4% compared to 7.3% in Penngrove.
- More residents in Ithaca have less than a high school education at 13.1% compared to 7.4% in Penngrove.
- In Penngrove, a larger share of residents have a bachelor's degree or higher at 35.2% compared to 17.6% in Ithaca.
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.