Demographics details for Poplar bluff, MO vs Selma, CA
Population Overview
Compare main population characteristics in Poplar bluff, MO vs Selma, CA.
| Data | Poplar bluff | Selma |
|---|---|---|
| Population | 16,232 | 24,430 |
| Median Age | 36.0 years | 31.3 years |
| Median Income | $37,448 | $53,874 |
| Married Families | 29.0% | 30.0% |
| Poverty Level | 15% | 20% |
| Unemployment Rate | 4.5 | 6.5 |
Population Comparison: Poplar bluff vs Selma
- The population in Selma is higher at 24,430, compared to 16,232 in Poplar bluff.
- Residents in Poplar bluff have a higher median age of 36.0 years compared to 31.3 years in Selma.
- Selma has a higher median income of $53,874, compared to $37,448 in Poplar bluff.
- In Selma, the percentage of married families is higher at 30.0%, compared to 29.0% in Poplar bluff.
- The poverty level is higher in Selma at 20%, compared to 15% in Poplar bluff.
- Selma has a higher unemployment rate at 6.5% compared to 4.5% in Poplar bluff.
Demographics
Demographics Poplar bluff vs Selma provide insight into the diversity of the communities to compare.
| Demographic | Poplar bluff | Selma |
|---|---|---|
| Black | 10 | 1 |
| White | 79 | -2 |
| Asian | Data is updating | 3 |
| Hispanic | 2 | 84 |
| Two or More Races | 8 | 13 |
| American Indian | 1 | 1 |
Demographics Comparison: Poplar bluff vs Selma
- A higher percentage of Black residents are in Poplar bluff at 10% compared to 1% in Selma.
- Poplar bluff has a higher percentage of White residents at 79% compared to -2% in Selma.
- In Selma, the Asian population stands at 3%, greater than 0% in Poplar bluff.
- Selma has a higher percentage of Hispanic residents at 84%, compared to 2% in Poplar bluff.
- The percentage of residents identifying as two or more races is higher in Selma at 13%, compared to 8% in Poplar bluff.
- The percentage of American Indian residents is the same in both Poplar bluff and Selma at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Poplar bluff | Selma |
|---|---|---|
| Mental Health Not Good | 22.8% | 18.0% |
| Physical Health Not Good | 17.8% | 15.1% |
| Depression | 27.7% | 17.4% |
| Smoking | 31.5% | 15.7% |
| Binge Drinking | 15.3% | 13.6% |
| Obesity | 45.2% | 40.5% |
| Disability Percentage | 26.0% | 12.0% |
Health Statistics Comparison: Poplar bluff vs Selma
- More residents in Poplar bluff report poor mental health at 22.8% compared to 18.0% in Selma.
- Depression is more prevalent in Poplar bluff at 27.7% compared to 17.4% in Selma.
- Smoking is more prevalent in Poplar bluff at 31.5% compared to 15.7% in Selma.
- Binge drinking is more common in Poplar bluff at 15.3% compared to 13.6% in Selma.
- Obesity rates are higher in Poplar bluff at 45.2% compared to 40.5% in Selma.
- Disability percentages are higher in Poplar bluff at 26.0% compared to 12.0% in Selma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Poplar bluff | Selma |
|---|---|---|
| No Schooling | 0.7% (118) | 3.8% (938) |
| High School Diploma | 23.2% (3,763) | 14.6% (3,577) |
| Less than High School | 21.1% (3,419) | 33.9% (8,285) |
| Bachelor's Degree and Higher | 8.8% (1,422) | 7.0% (1,712) |
Education Levels Comparison: Poplar bluff vs Selma
- In Selma, a larger percentage of residents lack formal schooling at 3.8% compared to 0.7% in Poplar bluff.
- A higher percentage of residents in Poplar bluff hold a high school diploma at 23.2% compared to 14.6% in Selma.
- The percentage of residents with less than a high school education is higher in Selma at 33.9%, compared to 21.1% in Poplar bluff.
- A higher percentage of residents in Poplar bluff hold a bachelor's degree or higher at 8.8% compared to 7.0% in Selma.
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.