Demographics details for Richland, MS vs Wheeling, WV
Population Overview
Compare main population characteristics in Richland, MS vs Wheeling, WV.
| Data | Richland | Wheeling |
|---|---|---|
| Population | 7,297 | 26,391 |
| Median Age | 37.1 years | 45.0 years |
| Median Income | $54,753 | $46,516 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Richland vs Wheeling
- The population in Wheeling is higher at 26,391, compared to 7,297 in Richland.
- The median age in Wheeling is higher at 45.0 years, compared to 37.1 years in Richland.
- Richland has a higher median income of $54,753 compared to $46,516 in Wheeling.
- A higher percentage of married families is found in Richland at 40.0% compared to 34.0% in Wheeling.
- The poverty level is higher in Wheeling at 18%, compared to 12% in Richland.
- The unemployment rate in Richland is higher at 4.2%, compared to 4.1% in Wheeling.
Demographics
Demographics Richland vs Wheeling provide insight into the diversity of the communities to compare.
| Demographic | Richland | Wheeling |
|---|---|---|
| Black | 19 | 4 |
| White | 74 | 90 |
| Asian | 2 | 1 |
| Hispanic | 3 | 1 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Richland vs Wheeling
- A higher percentage of Black residents are in Richland at 19% compared to 4% in Wheeling.
- The percentage of White residents is higher in Wheeling at 90% compared to 74% in Richland.
- The Asian population is larger in Richland at 2% compared to 1% in Wheeling.
- The Hispanic community is larger in Richland at 3% compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Wheeling at 4%, compared to 2% in Richland.
- The percentage of American Indian residents is the same in both Richland and Wheeling at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Richland | Wheeling |
|---|---|---|
| Mental Health Not Good | 16.9% | 19.5% |
| Physical Health Not Good | 11.7% | 13.3% |
| Depression | 23.4% | 28.7% |
| Smoking | 19.3% | 21.0% |
| Binge Drinking | 14.2% | 14.4% |
| Obesity | 37.4% | 40.4% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Richland vs Wheeling
- In Wheeling, a higher percentage report poor mental health at 19.5% compared to 16.9% in Richland.
- Higher depression rates are seen in Wheeling at 28.7% versus 23.4% in Richland.
- Wheeling has a higher smoking rate at 21.0% compared to 19.3% in Richland.
- More residents engage in binge drinking in Wheeling at 14.4% compared to 14.2% in Richland.
- Wheeling has higher obesity rates at 40.4% compared to 37.4% in Richland.
- There is a higher percentage of disabled individuals in Wheeling at 17.0% compared to 13.0% in Richland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Richland | Wheeling |
|---|---|---|
| No Schooling | 1.7% (122) | 0.5% (130) |
| High School Diploma | 12.6% (916) | 22.3% (5,888) |
| Less than High School | 10.0% (732) | 10.1% (2,653) |
| Bachelor's Degree and Higher | 16.1% (1,175) | 23.5% (6,209) |
Education Levels Comparison: Richland vs Wheeling
- A higher percentage of residents in Richland have no formal schooling at 1.7% compared to 0.5% in Wheeling.
- In Wheeling, the rate of residents with high school diplomas is higher at 22.3% compared to 12.6% in Richland.
- The percentage of residents with less than a high school education is higher in Wheeling at 10.1%, compared to 10.0% in Richland.
- In Wheeling, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 16.1% in Richland.
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.