Demographics details for Poplar bluff, MO vs Ocean city, NJ
Population Overview
Compare main population characteristics in Poplar bluff, MO vs Ocean city, NJ.
Data | Poplar bluff | Ocean city |
---|---|---|
Population | 16,232 | 11,303 |
Median Age | 36.0 years | 56.9 years |
Median Income | $37,448 | $98,576 |
Married Families | 29.0% | 53.0% |
Poverty Level | 15% | Data is updating |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Poplar bluff vs Ocean city
- In Poplar bluff, the population is higher at 16,232, compared to 11,303 in Ocean city.
- The median age in Ocean city is higher at 56.9 years, compared to 36.0 years in Poplar bluff.
- Ocean city has a higher median income of $98,576, compared to $37,448 in Poplar bluff.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 29.0% in Poplar bluff.
- Poplar bluff has a higher poverty level at 15% compared to 0% in Ocean city.
- The unemployment rate in Poplar bluff is higher at 4.5%, compared to 3.2% in Ocean city.
Demographics
Demographics Poplar bluff vs Ocean city provide insight into the diversity of the communities to compare.
Demographic | Poplar bluff | Ocean city |
---|---|---|
Black | 10 | 3 |
White | 79 | 86 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 8 |
Two or More Races | 8 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Poplar bluff vs Ocean city
- A higher percentage of Black residents are in Poplar bluff at 10% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 79% in Poplar bluff.
- Both Poplar bluff and Ocean city have the same percentage of Asian residents at 0%.
- Ocean city has a higher percentage of Hispanic residents at 8%, compared to 2% in Poplar bluff.
- More residents identify as two or more races in Poplar bluff at 8% compared to 3% in Ocean city.
- A greater percentage of American Indian residents live in Poplar bluff at 1% compared to 0% in Ocean city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Poplar bluff | Ocean city |
---|---|---|
Mental Health Not Good | 22.8% | 14.0% |
Physical Health Not Good | 17.8% | 8.7% |
Depression | 27.7% | 21.8% |
Smoking | 31.5% | 11.9% |
Binge Drinking | 15.3% | 20.3% |
Obesity | 45.2% | 29.8% |
Disability Percentage | 26.0% | 14.0% |
Health Statistics Comparison: Poplar bluff vs Ocean city
- More residents in Poplar bluff report poor mental health at 22.8% compared to 14.0% in Ocean city.
- Depression is more prevalent in Poplar bluff at 27.7% compared to 21.8% in Ocean city.
- Smoking is more prevalent in Poplar bluff at 31.5% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 15.3% in Poplar bluff.
- Obesity rates are higher in Poplar bluff at 45.2% compared to 29.8% in Ocean city.
- Disability percentages are higher in Poplar bluff at 26.0% compared to 14.0% in Ocean city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Poplar bluff | Ocean city |
---|---|---|
No Schooling | 0.7% (118) | 0.4% (50) |
High School Diploma | 23.2% (3,763) | 16.9% (1,907) |
Less than High School | 21.1% (3,419) | 6.0% (676) |
Bachelor's Degree and Higher | 8.8% (1,422) | 43.6% (4,926) |
Education Levels Comparison: Poplar bluff vs Ocean city
- A higher percentage of residents in Poplar bluff have no formal schooling at 0.7% compared to 0.4% in Ocean city.
- A higher percentage of residents in Poplar bluff hold a high school diploma at 23.2% compared to 16.9% in Ocean city.
- More residents in Poplar bluff have less than a high school education at 21.1% compared to 6.0% in Ocean city.
- In Ocean city, a larger share of residents have a bachelor's degree or higher at 43.6% 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.