Demographics details for Oologah, OK vs Avon by the sea, NJ
Population Overview
Compare main population characteristics in Oologah, OK vs Avon by the sea, NJ.
Data | Oologah | Avon by the sea |
---|---|---|
Population | 1,314 | 1,940 |
Median Age | 33.1 years | 56.2 years |
Median Income | $82,531 | $106,563 |
Married Families | 47.0% | 44.0% |
Poverty Level | 7% | Data is updating |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Oologah vs Avon by the sea
- The population in Avon by the sea is higher at 1,940, compared to 1,314 in Oologah.
- The median age in Avon by the sea is higher at 56.2 years, compared to 33.1 years in Oologah.
- Avon by the sea has a higher median income of $106,563, compared to $82,531 in Oologah.
- A higher percentage of married families is found in Oologah at 47.0% compared to 44.0% in Avon by the sea.
- Oologah has a higher poverty level at 7% compared to 0% in Avon by the sea.
- Avon by the sea has a higher unemployment rate at 4.2% compared to 3.5% in Oologah.
Demographics
Demographics Oologah vs Avon by the sea provide insight into the diversity of the communities to compare.
Demographic | Oologah | Avon by the sea |
---|---|---|
Black | Data is updating | 1 |
White | 55 | 88 |
Asian | 1 | 1 |
Hispanic | 3 | 6 |
Two or More Races | 17 | 4 |
American Indian | 24 | Data is updating |
Demographics Comparison: Oologah vs Avon by the sea
- In Avon by the sea, the percentage of Black residents is higher at 1% compared to 0% in Oologah.
- The percentage of White residents is higher in Avon by the sea at 88% compared to 55% in Oologah.
- Both Oologah 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 Oologah.
- More residents identify as two or more races in Oologah at 17% compared to 4% in Avon by the sea.
- A greater percentage of American Indian residents live in Oologah at 24% compared to 0% in Avon by the sea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oologah | Avon by the sea |
---|---|---|
Mental Health Not Good | 18.4% | 13.7% |
Physical Health Not Good | 12.0% | 7.7% |
Depression | 25.1% | 20.3% |
Smoking | 19.1% | 9.9% |
Binge Drinking | 15.5% | 19.5% |
Obesity | 43.4% | 25.6% |
Disability Percentage | 29.0% | 10.0% |
Health Statistics Comparison: Oologah vs Avon by the sea
- More residents in Oologah report poor mental health at 18.4% compared to 13.7% in Avon by the sea.
- Depression is more prevalent in Oologah at 25.1% compared to 20.3% in Avon by the sea.
- Smoking is more prevalent in Oologah at 19.1% 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 15.5% in Oologah.
- Obesity rates are higher in Oologah at 43.4% compared to 25.6% in Avon by the sea.
- Disability percentages are higher in Oologah at 29.0% 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 | Oologah | Avon by the sea |
---|---|---|
No Schooling | 0.4% (5) | 0.3% (6) |
High School Diploma | 22.6% (297) | 9.7% (188) |
Less than High School | 14.5% (190) | 3.5% (67) |
Bachelor's Degree and Higher | 13.8% (181) | 52.3% (1,014) |
Education Levels Comparison: Oologah vs Avon by the sea
- A higher percentage of residents in Oologah have no formal schooling at 0.4% compared to 0.3% in Avon by the sea.
- A higher percentage of residents in Oologah hold a high school diploma at 22.6% compared to 9.7% in Avon by the sea.
- More residents in Oologah have less than a high school education at 14.5% 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 13.8% in Oologah.
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.