Demographics details for Poland, IN vs Ocean city, NJ
Population Overview
Compare main population characteristics in Poland, IN vs Ocean city, NJ.
| Data | Poland | Ocean city |
|---|---|---|
| Population | 683 | 11,303 |
| Median Age | 37.0 years | 56.9 years |
| Median Income | $60,000 | $98,576 |
| Married Families | 35.0% | 53.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Poland vs Ocean city
- The population in Ocean city is higher at 11,303, compared to 683 in Poland.
- The median age in Ocean city is higher at 56.9 years, compared to 37.0 years in Poland.
- Ocean city has a higher median income of $98,576, compared to $60,000 in Poland.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 35.0% in Poland.
- Poland has a higher poverty level at 10% compared to 0% in Ocean city.
- The unemployment rate in Poland is higher at 5.0%, compared to 3.2% in Ocean city.
Demographics
Demographics Poland vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Poland | Ocean city |
|---|---|---|
| Black | Data is updating | 3 |
| White | 90 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 8 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Poland vs Ocean city
- In Ocean city, the percentage of Black residents is higher at 3% compared to 0% in Poland.
- Poland has a higher percentage of White residents at 90% compared to 86% in Ocean city.
- Both Poland 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 5% in Poland.
- More residents identify as two or more races in Poland at 5% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Poland and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Poland | Ocean city |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.0% |
| Physical Health Not Good | Data is updating% | 8.7% |
| Depression | Data is updating% | 21.8% |
| Smoking | Data is updating% | 11.9% |
| Binge Drinking | Data is updating% | 20.3% |
| Obesity | Data is updating% | 29.8% |
| Disability Percentage | Data is updating% | 14.0% |
Health Statistics Comparison: Poland vs Ocean city
- In Ocean city, a higher percentage report poor mental health at 14.0% compared to 0.0% in Poland.
- Higher depression rates are seen in Ocean city at 21.8% versus 0.0% in Poland.
- Ocean city has a higher smoking rate at 11.9% compared to 0.0% in Poland.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 0.0% in Poland.
- Ocean city has higher obesity rates at 29.8% compared to 0.0% in Poland.
- There is a higher percentage of disabled individuals in Ocean city at 14.0% compared to 0.0% in Poland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Poland | Ocean city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (50) |
| High School Diploma | 0.0% (Data is updating) | 16.9% (1,907) |
| Less than High School | 0.0% (Data is updating) | 6.0% (676) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 43.6% (4,926) |
Education Levels Comparison: Poland vs Ocean city
- In Ocean city, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Poland.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 0.0% in Poland.
- The percentage of residents with less than a high school education is higher in Ocean city at 6.0%, compared to 0.0% in Poland.
- In Ocean city, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 0.0% in Poland.
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.