Demographics details for Poplar bluff, MO vs Bamberg, SC
Population Overview
Compare main population characteristics in Poplar bluff, MO vs Bamberg, SC.
Data | Poplar bluff | Bamberg |
---|---|---|
Population | 16,232 | 12,908 |
Median Age | 36.0 years | 40.8 years |
Median Income | $37,448 | $43,920 |
Married Families | 29.0% | 31.0% |
Poverty Level | 15% | 23% |
Unemployment Rate | 4.5 | 8.4 |
Population Comparison: Poplar bluff vs Bamberg
- In Poplar bluff, the population is higher at 16,232, compared to 12,908 in Bamberg.
- The median age in Bamberg is higher at 40.8 years, compared to 36.0 years in Poplar bluff.
- Bamberg has a higher median income of $43,920, compared to $37,448 in Poplar bluff.
- In Bamberg, the percentage of married families is higher at 31.0%, compared to 29.0% in Poplar bluff.
- The poverty level is higher in Bamberg at 23%, compared to 15% in Poplar bluff.
- Bamberg has a higher unemployment rate at 8.4% compared to 4.5% in Poplar bluff.
Demographics
Demographics Poplar bluff vs Bamberg provide insight into the diversity of the communities to compare.
Demographic | Poplar bluff | Bamberg |
---|---|---|
Black | 10 | 62 |
White | 79 | 35 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 2 |
Two or More Races | 8 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Poplar bluff vs Bamberg
- In Bamberg, the percentage of Black residents is higher at 62% compared to 10% in Poplar bluff.
- Poplar bluff has a higher percentage of White residents at 79% compared to 35% in Bamberg.
- Both Poplar bluff and Bamberg have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Poplar bluff and Bamberg at 2%.
- More residents identify as two or more races in Poplar bluff at 8% compared to 1% in Bamberg.
- A greater percentage of American Indian residents live in Poplar bluff at 1% compared to 0% in Bamberg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Poplar bluff | Bamberg |
---|---|---|
Mental Health Not Good | 22.8% | 18.9% |
Physical Health Not Good | 17.8% | 13.4% |
Depression | 27.7% | 20.7% |
Smoking | 31.5% | 21.2% |
Binge Drinking | 15.3% | 15.2% |
Obesity | 45.2% | 44.2% |
Disability Percentage | 26.0% | 20.0% |
Health Statistics Comparison: Poplar bluff vs Bamberg
- More residents in Poplar bluff report poor mental health at 22.8% compared to 18.9% in Bamberg.
- Depression is more prevalent in Poplar bluff at 27.7% compared to 20.7% in Bamberg.
- Smoking is more prevalent in Poplar bluff at 31.5% compared to 21.2% in Bamberg.
- Binge drinking is more common in Poplar bluff at 15.3% compared to 15.2% in Bamberg.
- Obesity rates are higher in Poplar bluff at 45.2% compared to 44.2% in Bamberg.
- Disability percentages are higher in Poplar bluff at 26.0% compared to 20.0% in Bamberg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Poplar bluff | Bamberg |
---|---|---|
No Schooling | 0.7% (118) | 1.6% (209) |
High School Diploma | 23.2% (3,763) | 18.1% (2,342) |
Less than High School | 21.1% (3,419) | 19.0% (2,448) |
Bachelor's Degree and Higher | 8.8% (1,422) | 12.4% (1,603) |
Education Levels Comparison: Poplar bluff vs Bamberg
- In Bamberg, a larger percentage of residents lack formal schooling at 1.6% 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 18.1% in Bamberg.
- More residents in Poplar bluff have less than a high school education at 21.1% compared to 19.0% in Bamberg.
- In Bamberg, a larger share of residents have a bachelor's degree or higher at 12.4% 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.