Demographics details for Danube, MN vs Avon by the sea, NJ
Population Overview
Compare main population characteristics in Danube, MN vs Avon by the sea, NJ.
Data | Danube | Avon by the sea |
---|---|---|
Population | 450 | 1,940 |
Median Age | 36.0 years | 56.2 years |
Median Income | $57,083 | $106,563 |
Married Families | 41.0% | 44.0% |
Poverty Level | 5% | Data is updating |
Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Danube vs Avon by the sea
- The population in Avon by the sea is higher at 1,940, compared to 450 in Danube.
- The median age in Avon by the sea is higher at 56.2 years, compared to 36.0 years in Danube.
- Avon by the sea has a higher median income of $106,563, compared to $57,083 in Danube.
- In Avon by the sea, the percentage of married families is higher at 44.0%, compared to 41.0% in Danube.
- Danube has a higher poverty level at 5% compared to 0% in Avon by the sea.
- The unemployment rate is the same in both Danube and Avon by the sea at 4.2%.
Demographics
Demographics Danube vs Avon by the sea provide insight into the diversity of the communities to compare.
Demographic | Danube | Avon by the sea |
---|---|---|
Black | Data is updating | 1 |
White | 95 | 88 |
Asian | Data is updating | 1 |
Hispanic | 5 | 6 |
Two or More Races | Data is updating | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Danube vs Avon by the sea
- In Avon by the sea, the percentage of Black residents is higher at 1% compared to 0% in Danube.
- Danube has a higher percentage of White residents at 95% compared to 88% in Avon by the sea.
- In Avon by the sea, the Asian population stands at 1%, greater than 0% in Danube.
- Avon by the sea has a higher percentage of Hispanic residents at 6%, compared to 5% in Danube.
- The percentage of residents identifying as two or more races is higher in Avon by the sea at 4%, compared to 0% in Danube.
- The percentage of American Indian residents is the same in both Danube and Avon by the sea at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Danube | Avon by the sea |
---|---|---|
Mental Health Not Good | 15.2% | 13.7% |
Physical Health Not Good | 9.9% | 7.7% |
Depression | 23.3% | 20.3% |
Smoking | 18.5% | 9.9% |
Binge Drinking | 19.6% | 19.5% |
Obesity | 37.8% | 25.6% |
Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Danube vs Avon by the sea
- More residents in Danube report poor mental health at 15.2% compared to 13.7% in Avon by the sea.
- Depression is more prevalent in Danube at 23.3% compared to 20.3% in Avon by the sea.
- Smoking is more prevalent in Danube at 18.5% compared to 9.9% in Avon by the sea.
- Binge drinking is more common in Danube at 19.6% compared to 19.5% in Avon by the sea.
- Obesity rates are higher in Danube at 37.8% compared to 25.6% in Avon by the sea.
- Disability percentages are higher in Danube at 12.0% 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 | Danube | Avon by the sea |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (6) |
High School Diploma | 19.3% (87) | 9.7% (188) |
Less than High School | 10.4% (47) | 3.5% (67) |
Bachelor's Degree and Higher | 5.8% (26) | 52.3% (1,014) |
Education Levels Comparison: Danube vs Avon by the sea
- In Avon by the sea, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Danube.
- A higher percentage of residents in Danube hold a high school diploma at 19.3% compared to 9.7% in Avon by the sea.
- More residents in Danube have less than a high school education at 10.4% 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 5.8% in Danube.
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.