Demographics details for Wheeling, WV vs Poplar bluff, MO
Population Overview
Compare main population characteristics in Wheeling, WV vs Poplar bluff, MO.
Data | Wheeling | Poplar bluff |
---|---|---|
Population | 26,391 | 16,232 |
Median Age | 45.0 years | 36.0 years |
Median Income | $46,516 | $37,448 |
Married Families | 34.0% | 29.0% |
Poverty Level | 18% | 15% |
Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Wheeling vs Poplar bluff
- In Wheeling, the population is higher at 26,391, compared to 16,232 in Poplar bluff.
- Residents in Wheeling have a higher median age of 45.0 years compared to 36.0 years in Poplar bluff.
- Wheeling has a higher median income of $46,516 compared to $37,448 in Poplar bluff.
- A higher percentage of married families is found in Wheeling at 34.0% compared to 29.0% in Poplar bluff.
- Wheeling has a higher poverty level at 18% compared to 15% in Poplar bluff.
- Poplar bluff has a higher unemployment rate at 4.5% compared to 4.1% in Wheeling.
Demographics
Demographics Wheeling vs Poplar bluff provide insight into the diversity of the communities to compare.
Demographic | Wheeling | Poplar bluff |
---|---|---|
Black | 4 | 10 |
White | 90 | 79 |
Asian | 1 | Data is updating |
Hispanic | 1 | 2 |
Two or More Races | 4 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Wheeling vs Poplar bluff
- In Poplar bluff, the percentage of Black residents is higher at 10% compared to 4% in Wheeling.
- Wheeling has a higher percentage of White residents at 90% compared to 79% in Poplar bluff.
- The Asian population is larger in Wheeling at 1% compared to 0% in Poplar bluff.
- Poplar bluff has a higher percentage of Hispanic residents at 2%, compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Poplar bluff at 8%, compared to 4% in Wheeling.
- In Poplar bluff, 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 | Poplar bluff |
---|---|---|
Mental Health Not Good | 19.5% | 22.8% |
Physical Health Not Good | 13.3% | 17.8% |
Depression | 28.7% | 27.7% |
Smoking | 21.0% | 31.5% |
Binge Drinking | 14.4% | 15.3% |
Obesity | 40.4% | 45.2% |
Disability Percentage | 17.0% | 26.0% |
Health Statistics Comparison: Wheeling vs Poplar bluff
- In Poplar bluff, a higher percentage report poor mental health at 22.8% compared to 19.5% in Wheeling.
- Depression is more prevalent in Wheeling at 28.7% compared to 27.7% in Poplar bluff.
- Poplar bluff has a higher smoking rate at 31.5% compared to 21.0% in Wheeling.
- More residents engage in binge drinking in Poplar bluff at 15.3% compared to 14.4% in Wheeling.
- Poplar bluff has higher obesity rates at 45.2% compared to 40.4% in Wheeling.
- There is a higher percentage of disabled individuals in Poplar bluff at 26.0% 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 | Poplar bluff |
---|---|---|
No Schooling | 0.5% (130) | 0.7% (118) |
High School Diploma | 22.3% (5,888) | 23.2% (3,763) |
Less than High School | 10.1% (2,653) | 21.1% (3,419) |
Bachelor's Degree and Higher | 23.5% (6,209) | 8.8% (1,422) |
Education Levels Comparison: Wheeling vs Poplar bluff
- In Poplar bluff, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Wheeling.
- In Poplar bluff, the rate of residents with high school diplomas is higher at 23.2% compared to 22.3% in Wheeling.
- The percentage of residents with less than a high school education is higher in Poplar bluff at 21.1%, 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 8.8% in Poplar bluff.
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.