Demographics details for Rural valley, PA vs Ithaca, NY
Population Overview
Compare main population characteristics in Rural valley, PA vs Ithaca, NY.
| Data | Rural valley | Ithaca |
|---|---|---|
| Population | 818 | 32,870 |
| Median Age | 50.0 years | 22.8 years |
| Median Income | $66,667 | $45,468 |
| Married Families | 57.0% | 18.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 5.0 | 4.9 |
Population Comparison: Rural valley vs Ithaca
- The population in Ithaca is higher at 32,870, compared to 818 in Rural valley.
- Residents in Rural valley have a higher median age of 50.0 years compared to 22.8 years in Ithaca.
- Rural valley has a higher median income of $66,667 compared to $45,468 in Ithaca.
- A higher percentage of married families is found in Rural valley at 57.0% compared to 18.0% in Ithaca.
- The poverty level is higher in Ithaca at 20%, compared to 10% in Rural valley.
- The unemployment rate in Rural valley is higher at 5.0%, compared to 4.9% in Ithaca.
Demographics
Demographics Rural valley vs Ithaca provide insight into the diversity of the communities to compare.
| Demographic | Rural valley | Ithaca |
|---|---|---|
| Black | Data is updating | 6 |
| White | 97 | 64 |
| Asian | Data is updating | 15 |
| Hispanic | Data is updating | 8 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rural valley vs Ithaca
- In Ithaca, the percentage of Black residents is higher at 6% compared to 0% in Rural valley.
- Rural valley has a higher percentage of White residents at 97% compared to 64% in Ithaca.
- In Ithaca, the Asian population stands at 15%, greater than 0% in Rural valley.
- Ithaca has a higher percentage of Hispanic residents at 8%, compared to 0% in Rural valley.
- The percentage of residents identifying as two or more races is higher in Ithaca at 7%, compared to 3% in Rural valley.
- The percentage of American Indian residents is the same in both Rural valley and Ithaca at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rural valley | Ithaca |
|---|---|---|
| Mental Health Not Good | 18.6% | 15.6% |
| Physical Health Not Good | 13.2% | 10.4% |
| Depression | 24.7% | 24.4% |
| Smoking | 22.8% | 15.4% |
| Binge Drinking | 18.0% | 15.8% |
| Obesity | 36.8% | 30.1% |
| Disability Percentage | 26.0% | 7.0% |
Health Statistics Comparison: Rural valley vs Ithaca
- More residents in Rural valley report poor mental health at 18.6% compared to 15.6% in Ithaca.
- Depression is more prevalent in Rural valley at 24.7% compared to 24.4% in Ithaca.
- Smoking is more prevalent in Rural valley at 22.8% compared to 15.4% in Ithaca.
- Binge drinking is more common in Rural valley at 18.0% compared to 15.8% in Ithaca.
- Obesity rates are higher in Rural valley at 36.8% compared to 30.1% in Ithaca.
- Disability percentages are higher in Rural valley at 26.0% compared to 7.0% in Ithaca.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rural valley | Ithaca |
|---|---|---|
| No Schooling | 1.1% (9) | 0.5% (159) |
| High School Diploma | 38.4% (314) | 2.6% (861) |
| Less than High School | 13.9% (114) | 2.5% (834) |
| Bachelor's Degree and Higher | 13.6% (111) | 27.9% (9,183) |
Education Levels Comparison: Rural valley vs Ithaca
- A higher percentage of residents in Rural valley have no formal schooling at 1.1% compared to 0.5% in Ithaca.
- A higher percentage of residents in Rural valley hold a high school diploma at 38.4% compared to 2.6% in Ithaca.
- More residents in Rural valley have less than a high school education at 13.9% compared to 2.5% in Ithaca.
- In Ithaca, a larger share of residents have a bachelor's degree or higher at 27.9% compared to 13.6% in Rural valley.
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.