Demographics details for Ocean city, NJ vs Ephrata, WA
Population Overview
Compare main population characteristics in Ocean city, NJ vs Ephrata, WA.
| Data | Ocean city | Ephrata |
|---|---|---|
| Population | 11,303 | 8,476 |
| Median Age | 56.9 years | 33.4 years |
| Median Income | $98,576 | $57,958 |
| Married Families | 53.0% | 33.0% |
| Poverty Level | Data is updating | 11% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Ocean city vs Ephrata
- In Ocean city, the population is higher at 11,303, compared to 8,476 in Ephrata.
- Residents in Ocean city have a higher median age of 56.9 years compared to 33.4 years in Ephrata.
- Ocean city has a higher median income of $98,576 compared to $57,958 in Ephrata.
- A higher percentage of married families is found in Ocean city at 53.0% compared to 33.0% in Ephrata.
- The poverty level is higher in Ephrata at 11%, compared to 0% in Ocean city.
- Ephrata has a higher unemployment rate at 4.2% compared to 3.2% in Ocean city.
Demographics
Demographics Ocean city vs Ephrata provide insight into the diversity of the communities to compare.
| Demographic | Ocean city | Ephrata |
|---|---|---|
| Black | 3 | 1 |
| White | 86 | 63 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | 25 |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ocean city vs Ephrata
- A higher percentage of Black residents are in Ocean city at 3% compared to 1% in Ephrata.
- Ocean city has a higher percentage of White residents at 86% compared to 63% in Ephrata.
- Both Ocean city and Ephrata have the same percentage of Asian residents at 0%.
- Ephrata has a higher percentage of Hispanic residents at 25%, compared to 8% in Ocean city.
- The percentage of residents identifying as two or more races is higher in Ephrata at 11%, compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Ocean city and Ephrata at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ocean city | Ephrata |
|---|---|---|
| Mental Health Not Good | 14.0% | 18.0% |
| Physical Health Not Good | 8.7% | 12.7% |
| Depression | 21.8% | 27.0% |
| Smoking | 11.9% | 17.0% |
| Binge Drinking | 20.3% | 17.6% |
| Obesity | 29.8% | 35.1% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Ocean city vs Ephrata
- In Ephrata, a higher percentage report poor mental health at 18.0% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Ephrata at 27.0% versus 21.8% in Ocean city.
- Ephrata has a higher smoking rate at 17.0% compared to 11.9% in Ocean city.
- Binge drinking is more common in Ocean city at 20.3% compared to 17.6% in Ephrata.
- Ephrata has higher obesity rates at 35.1% compared to 29.8% in Ocean city.
- Disability percentages are higher in Ocean city at 14.0% compared to 8.0% in Ephrata.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ocean city | Ephrata |
|---|---|---|
| No Schooling | 0.4% (50) | 0.8% (65) |
| High School Diploma | 16.9% (1,907) | 17.7% (1,503) |
| Less than High School | 6.0% (676) | 14.4% (1,223) |
| Bachelor's Degree and Higher | 43.6% (4,926) | 8.0% (677) |
Education Levels Comparison: Ocean city vs Ephrata
- In Ephrata, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Ocean city.
- In Ephrata, the rate of residents with high school diplomas is higher at 17.7% compared to 16.9% in Ocean city.
- The percentage of residents with less than a high school education is higher in Ephrata at 14.4%, compared to 6.0% in Ocean city.
- A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 8.0% in Ephrata.
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.