Demographics details for Pana, IL vs Avon by the sea, NJ
Population Overview
Compare main population characteristics in Pana, IL vs Avon by the sea, NJ.
| Data | Pana | Avon by the sea |
|---|---|---|
| Population | 5,093 | 1,940 |
| Median Age | 41.7 years | 56.2 years |
| Median Income | $47,763 | $106,563 |
| Married Families | 32.0% | 44.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Pana vs Avon by the sea
- In Pana, the population is higher at 5,093, compared to 1,940 in Avon by the sea.
- The median age in Avon by the sea is higher at 56.2 years, compared to 41.7 years in Pana.
- Avon by the sea has a higher median income of $106,563, compared to $47,763 in Pana.
- In Avon by the sea, the percentage of married families is higher at 44.0%, compared to 32.0% in Pana.
- Pana has a higher poverty level at 10% compared to 0% in Avon by the sea.
- The unemployment rate in Pana is higher at 5.2%, compared to 4.2% in Avon by the sea.
Demographics
Demographics Pana vs Avon by the sea provide insight into the diversity of the communities to compare.
| Demographic | Pana | Avon by the sea |
|---|---|---|
| Black | Data is updating | 1 |
| White | 93 | 88 |
| Asian | 1 | 1 |
| Hispanic | 3 | 6 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pana vs Avon by the sea
- In Avon by the sea, the percentage of Black residents is higher at 1% compared to 0% in Pana.
- Pana has a higher percentage of White residents at 93% compared to 88% in Avon by the sea.
- Both Pana and Avon by the sea have the same percentage of Asian residents at 1%.
- Avon by the sea has a higher percentage of Hispanic residents at 6%, compared to 3% in Pana.
- The percentage of residents identifying as two or more races is higher in Avon by the sea at 4%, compared to 3% in Pana.
- The percentage of American Indian residents is the same in both Pana and Avon by the sea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pana | Avon by the sea |
|---|---|---|
| Mental Health Not Good | 17.9% | 13.7% |
| Physical Health Not Good | 12.5% | 7.7% |
| Depression | 22.8% | 20.3% |
| Smoking | 21.3% | 9.9% |
| Binge Drinking | 17.5% | 19.5% |
| Obesity | 39.1% | 25.6% |
| Disability Percentage | 16.0% | 10.0% |
Health Statistics Comparison: Pana vs Avon by the sea
- More residents in Pana report poor mental health at 17.9% compared to 13.7% in Avon by the sea.
- Depression is more prevalent in Pana at 22.8% compared to 20.3% in Avon by the sea.
- Smoking is more prevalent in Pana at 21.3% compared to 9.9% in Avon by the sea.
- More residents engage in binge drinking in Avon by the sea at 19.5% compared to 17.5% in Pana.
- Obesity rates are higher in Pana at 39.1% compared to 25.6% in Avon by the sea.
- Disability percentages are higher in Pana at 16.0% compared to 10.0% in Avon by the sea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pana | Avon by the sea |
|---|---|---|
| No Schooling | 0.4% (21) | 0.3% (6) |
| High School Diploma | 30.7% (1,563) | 9.7% (188) |
| Less than High School | 17.1% (870) | 3.5% (67) |
| Bachelor's Degree and Higher | 11.0% (559) | 52.3% (1,014) |
Education Levels Comparison: Pana vs Avon by the sea
- A higher percentage of residents in Pana have no formal schooling at 0.4% compared to 0.3% in Avon by the sea.
- A higher percentage of residents in Pana hold a high school diploma at 30.7% compared to 9.7% in Avon by the sea.
- More residents in Pana have less than a high school education at 17.1% compared to 3.5% in Avon by the sea.
- In Avon by the sea, a larger share of residents have a bachelor's degree or higher at 52.3% compared to 11.0% in Pana.
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.