Demographics details for Atoka, OK vs Three mile bay, NY
Population Overview
Compare main population characteristics in Atoka, OK vs Three mile bay, NY.
| Data | Atoka | Three mile bay |
|---|---|---|
| Population | 3,200 | 63 |
| Median Age | 37.5 years | 56.3 years |
| Median Income | $40,362 | $47,813 |
| Married Families | 32.0% | 71.0% |
| Poverty Level | 20% | 5% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Atoka vs Three mile bay
- In Atoka, the population is higher at 3,200, compared to 63 in Three mile bay.
- The median age in Three mile bay is higher at 56.3 years, compared to 37.5 years in Atoka.
- Three mile bay has a higher median income of $47,813, compared to $40,362 in Atoka.
- In Three mile bay, the percentage of married families is higher at 71.0%, compared to 32.0% in Atoka.
- Atoka has a higher poverty level at 20% compared to 5% in Three mile bay.
- The unemployment rate in Atoka is higher at 4.5%, compared to 3.5% in Three mile bay.
Demographics
Demographics Atoka vs Three mile bay provide insight into the diversity of the communities to compare.
| Demographic | Atoka | Three mile bay |
|---|---|---|
| Black | 4 | Data is updating |
| White | 55 | 100 |
| Asian | 3 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 17 | Data is updating |
| American Indian | 14 | Data is updating |
Demographics Comparison: Atoka vs Three mile bay
- A higher percentage of Black residents are in Atoka at 4% compared to 0% in Three mile bay.
- The percentage of White residents is higher in Three mile bay at 100% compared to 55% in Atoka.
- The Asian population is larger in Atoka at 3% compared to 0% in Three mile bay.
- The Hispanic community is larger in Atoka at 7% compared to 0% in Three mile bay.
- More residents identify as two or more races in Atoka at 17% compared to 0% in Three mile bay.
- A greater percentage of American Indian residents live in Atoka at 14% compared to 0% in Three mile bay.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Atoka | Three mile bay |
|---|---|---|
| Mental Health Not Good | 22.1% | 14.9% |
| Physical Health Not Good | 16.7% | 9.5% |
| Depression | 27.8% | 24.4% |
| Smoking | 27.8% | 18.3% |
| Binge Drinking | 12.8% | 20.9% |
| Obesity | 43.5% | 35.3% |
| Disability Percentage | 25.0% | 35.0% |
Health Statistics Comparison: Atoka vs Three mile bay
- More residents in Atoka report poor mental health at 22.1% compared to 14.9% in Three mile bay.
- Depression is more prevalent in Atoka at 27.8% compared to 24.4% in Three mile bay.
- Smoking is more prevalent in Atoka at 27.8% compared to 18.3% in Three mile bay.
- More residents engage in binge drinking in Three mile bay at 20.9% compared to 12.8% in Atoka.
- Obesity rates are higher in Atoka at 43.5% compared to 35.3% in Three mile bay.
- There is a higher percentage of disabled individuals in Three mile bay at 35.0% compared to 25.0% in Atoka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Atoka | Three mile bay |
|---|---|---|
| No Schooling | 1.2% (39) | 0.0% (Data is updating) |
| High School Diploma | 19.5% (623) | 12.7% (8) |
| Less than High School | 24.2% (776) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 9.1% (291) | 22.2% (14) |
Education Levels Comparison: Atoka vs Three mile bay
- A higher percentage of residents in Atoka have no formal schooling at 1.2% compared to 0.0% in Three mile bay.
- A higher percentage of residents in Atoka hold a high school diploma at 19.5% compared to 12.7% in Three mile bay.
- More residents in Atoka have less than a high school education at 24.2% compared to 0.0% in Three mile bay.
- In Three mile bay, a larger share of residents have a bachelor's degree or higher at 22.2% compared to 9.1% in Atoka.
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.