Demographics details for Wheeling, WV vs Foster, OK
Population Overview
Compare main population characteristics in Wheeling, WV vs Foster, OK.
| Data | Wheeling | Foster |
|---|---|---|
| Population | 26,391 | 247 |
| Median Age | 45.0 years | 38.8 years |
| Median Income | $46,516 | $68,871 |
| Married Families | 34.0% | 47.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 4.1 | 2.5 |
Population Comparison: Wheeling vs Foster
- In Wheeling, the population is higher at 26,391, compared to 247 in Foster.
- Residents in Wheeling have a higher median age of 45.0 years compared to 38.8 years in Foster.
- Foster has a higher median income of $68,871, compared to $46,516 in Wheeling.
- In Foster, the percentage of married families is higher at 47.0%, compared to 34.0% in Wheeling.
- Wheeling has a higher poverty level at 18% compared to 12% in Foster.
- The unemployment rate in Wheeling is higher at 4.1%, compared to 2.5% in Foster.
Demographics
Demographics Wheeling vs Foster provide insight into the diversity of the communities to compare.
| Demographic | Wheeling | Foster |
|---|---|---|
| Black | 4 | Data is updating |
| White | 90 | 73 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 4 | 20 |
| American Indian | Data is updating | 7 |
Demographics Comparison: Wheeling vs Foster
- A higher percentage of Black residents are in Wheeling at 4% compared to 0% in Foster.
- Wheeling has a higher percentage of White residents at 90% compared to 73% in Foster.
- The Asian population is larger in Wheeling at 1% compared to 0% in Foster.
- The Hispanic community is larger in Wheeling at 1% compared to 0% in Foster.
- The percentage of residents identifying as two or more races is higher in Foster at 20%, compared to 4% in Wheeling.
- In Foster, the percentage of American Indian residents is higher at 7%, compared to 0% in Wheeling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeling | Foster |
|---|---|---|
| Mental Health Not Good | 19.5% | 18.5% |
| Physical Health Not Good | 13.3% | 12.9% |
| Depression | 28.7% | 24.7% |
| Smoking | 21.0% | 21.6% |
| Binge Drinking | 14.4% | 15.3% |
| Obesity | 40.4% | 41.9% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Wheeling vs Foster
- More residents in Wheeling report poor mental health at 19.5% compared to 18.5% in Foster.
- Depression is more prevalent in Wheeling at 28.7% compared to 24.7% in Foster.
- Foster has a higher smoking rate at 21.6% compared to 21.0% in Wheeling.
- More residents engage in binge drinking in Foster at 15.3% compared to 14.4% in Wheeling.
- Foster has higher obesity rates at 41.9% compared to 40.4% in Wheeling.
- Disability percentages are higher in Wheeling at 17.0% compared to 13.0% in Foster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeling | Foster |
|---|---|---|
| No Schooling | 0.5% (130) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (5,888) | 30.4% (75) |
| Less than High School | 10.1% (2,653) | 8.1% (20) |
| Bachelor's Degree and Higher | 23.5% (6,209) | 22.3% (55) |
Education Levels Comparison: Wheeling vs Foster
- A higher percentage of residents in Wheeling have no formal schooling at 0.5% compared to 0.0% in Foster.
- In Foster, the rate of residents with high school diplomas is higher at 30.4% compared to 22.3% in Wheeling.
- More residents in Wheeling have less than a high school education at 10.1% compared to 8.1% in Foster.
- A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 22.3% in Foster.
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.