Demographics details for Fredericksburg, VA vs Atoka, OK
Population Overview
Compare main population characteristics in Fredericksburg, VA vs Atoka, OK.
| Data | Fredericksburg | Atoka |
|---|---|---|
| Population | 28,757 | 3,200 |
| Median Age | 30.9 years | 37.5 years |
| Median Income | $83,445 | $40,362 |
| Married Families | 30.0% | 32.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 3.9 | 4.5 |
Population Comparison: Fredericksburg vs Atoka
- In Fredericksburg, the population is higher at 28,757, compared to 3,200 in Atoka.
- The median age in Atoka is higher at 37.5 years, compared to 30.9 years in Fredericksburg.
- Fredericksburg has a higher median income of $83,445 compared to $40,362 in Atoka.
- In Atoka, the percentage of married families is higher at 32.0%, compared to 30.0% in Fredericksburg.
- The poverty level is higher in Atoka at 20%, compared to 10% in Fredericksburg.
- Atoka has a higher unemployment rate at 4.5% compared to 3.9% in Fredericksburg.
Demographics
Demographics Fredericksburg vs Atoka provide insight into the diversity of the communities to compare.
| Demographic | Fredericksburg | Atoka |
|---|---|---|
| Black | 21 | 4 |
| White | 54 | 55 |
| Asian | 4 | 3 |
| Hispanic | 12 | 7 |
| Two or More Races | 9 | 17 |
| American Indian | Data is updating | 14 |
Demographics Comparison: Fredericksburg vs Atoka
- A higher percentage of Black residents are in Fredericksburg at 21% compared to 4% in Atoka.
- The percentage of White residents is higher in Atoka at 55% compared to 54% in Fredericksburg.
- The Asian population is larger in Fredericksburg at 4% compared to 3% in Atoka.
- The Hispanic community is larger in Fredericksburg at 12% compared to 7% in Atoka.
- The percentage of residents identifying as two or more races is higher in Atoka at 17%, compared to 9% in Fredericksburg.
- In Atoka, the percentage of American Indian residents is higher at 14%, compared to 0% in Fredericksburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fredericksburg | Atoka |
|---|---|---|
| Mental Health Not Good | 16.7% | 22.1% |
| Physical Health Not Good | 10.9% | 16.7% |
| Depression | 22.7% | 27.8% |
| Smoking | 15.2% | 27.8% |
| Binge Drinking | 16.2% | 12.8% |
| Obesity | 36.7% | 43.5% |
| Disability Percentage | 11.0% | 25.0% |
Health Statistics Comparison: Fredericksburg vs Atoka
- In Atoka, a higher percentage report poor mental health at 22.1% compared to 16.7% in Fredericksburg.
- Higher depression rates are seen in Atoka at 27.8% versus 22.7% in Fredericksburg.
- Atoka has a higher smoking rate at 27.8% compared to 15.2% in Fredericksburg.
- Binge drinking is more common in Fredericksburg at 16.2% compared to 12.8% in Atoka.
- Atoka has higher obesity rates at 43.5% compared to 36.7% in Fredericksburg.
- There is a higher percentage of disabled individuals in Atoka at 25.0% compared to 11.0% in Fredericksburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fredericksburg | Atoka |
|---|---|---|
| No Schooling | 0.5% (140) | 1.2% (39) |
| High School Diploma | 10.6% (3,055) | 19.5% (623) |
| Less than High School | 7.2% (2,074) | 24.2% (776) |
| Bachelor's Degree and Higher | 25.5% (7,346) | 9.1% (291) |
Education Levels Comparison: Fredericksburg vs Atoka
- In Atoka, a larger percentage of residents lack formal schooling at 1.2% compared to 0.5% in Fredericksburg.
- In Atoka, the rate of residents with high school diplomas is higher at 19.5% compared to 10.6% in Fredericksburg.
- The percentage of residents with less than a high school education is higher in Atoka at 24.2%, compared to 7.2% in Fredericksburg.
- A higher percentage of residents in Fredericksburg hold a bachelor's degree or higher at 25.5% 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.