Demographics details for Wheeling, WV vs Corinth, MS
Population Overview
Compare main population characteristics in Wheeling, WV vs Corinth, MS.
| Data | Wheeling | Corinth |
|---|---|---|
| Population | 26,391 | 14,312 |
| Median Age | 45.0 years | 42.1 years |
| Median Income | $46,516 | $40,546 |
| Married Families | 34.0% | 32.0% |
| Poverty Level | 18% | 20% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Wheeling vs Corinth
- In Wheeling, the population is higher at 26,391, compared to 14,312 in Corinth.
- Residents in Wheeling have a higher median age of 45.0 years compared to 42.1 years in Corinth.
- Wheeling has a higher median income of $46,516 compared to $40,546 in Corinth.
- A higher percentage of married families is found in Wheeling at 34.0% compared to 32.0% in Corinth.
- The poverty level is higher in Corinth at 20%, compared to 18% in Wheeling.
- Corinth has a higher unemployment rate at 4.5% compared to 4.1% in Wheeling.
Demographics
Demographics Wheeling vs Corinth provide insight into the diversity of the communities to compare.
| Demographic | Wheeling | Corinth |
|---|---|---|
| Black | 4 | 17 |
| White | 90 | 72 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 5 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wheeling vs Corinth
- In Corinth, the percentage of Black residents is higher at 17% compared to 4% in Wheeling.
- Wheeling has a higher percentage of White residents at 90% compared to 72% in Corinth.
- The Asian population is larger in Wheeling at 1% compared to 0% in Corinth.
- Corinth has a higher percentage of Hispanic residents at 5%, compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Corinth at 5%, compared to 4% in Wheeling.
- In Corinth, the percentage of American Indian residents is higher at 1%, compared to 0% in Wheeling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeling | Corinth |
|---|---|---|
| Mental Health Not Good | 19.5% | 17.5% |
| Physical Health Not Good | 13.3% | 13.0% |
| Depression | 28.7% | 23.5% |
| Smoking | 21.0% | 21.4% |
| Binge Drinking | 14.4% | 14.7% |
| Obesity | 40.4% | 39.5% |
| Disability Percentage | 17.0% | 23.0% |
Health Statistics Comparison: Wheeling vs Corinth
- More residents in Wheeling report poor mental health at 19.5% compared to 17.5% in Corinth.
- Depression is more prevalent in Wheeling at 28.7% compared to 23.5% in Corinth.
- Corinth has a higher smoking rate at 21.4% compared to 21.0% in Wheeling.
- More residents engage in binge drinking in Corinth at 14.7% compared to 14.4% in Wheeling.
- Obesity rates are higher in Wheeling at 40.4% compared to 39.5% in Corinth.
- There is a higher percentage of disabled individuals in Corinth at 23.0% compared to 17.0% in Wheeling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeling | Corinth |
|---|---|---|
| No Schooling | 0.5% (130) | 0.6% (80) |
| High School Diploma | 22.3% (5,888) | 14.4% (2,059) |
| Less than High School | 10.1% (2,653) | 22.8% (3,266) |
| Bachelor's Degree and Higher | 23.5% (6,209) | 17.8% (2,547) |
Education Levels Comparison: Wheeling vs Corinth
- In Corinth, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Wheeling.
- A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 14.4% in Corinth.
- The percentage of residents with less than a high school education is higher in Corinth at 22.8%, compared to 10.1% in Wheeling.
- A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 17.8% in Corinth.
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.