Demographics details for Portsmouth, VA vs Ocean city, NJ
Population Overview
Compare main population characteristics in Portsmouth, VA vs Ocean city, NJ.
Data | Portsmouth | Ocean city |
---|---|---|
Population | 97,029 | 11,303 |
Median Age | 35.6 years | 56.9 years |
Median Income | $57,154 | $98,576 |
Married Families | 30.0% | 53.0% |
Poverty Level | 15% | Data is updating |
Unemployment Rate | 3.6 | 3.2 |
Population Comparison: Portsmouth vs Ocean city
- In Portsmouth, the population is higher at 97,029, compared to 11,303 in Ocean city.
- The median age in Ocean city is higher at 56.9 years, compared to 35.6 years in Portsmouth.
- Ocean city has a higher median income of $98,576, compared to $57,154 in Portsmouth.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 30.0% in Portsmouth.
- Portsmouth has a higher poverty level at 15% compared to 0% in Ocean city.
- The unemployment rate in Portsmouth is higher at 3.6%, compared to 3.2% in Ocean city.
Demographics
Demographics Portsmouth vs Ocean city provide insight into the diversity of the communities to compare.
Demographic | Portsmouth | Ocean city |
---|---|---|
Black | 52 | 3 |
White | 35 | 86 |
Asian | 1 | Data is updating |
Hispanic | 5 | 8 |
Two or More Races | 7 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Portsmouth vs Ocean city
- A higher percentage of Black residents are in Portsmouth at 52% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 35% in Portsmouth.
- The Asian population is larger in Portsmouth at 1% compared to 0% in Ocean city.
- Ocean city has a higher percentage of Hispanic residents at 8%, compared to 5% in Portsmouth.
- More residents identify as two or more races in Portsmouth at 7% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Portsmouth and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Portsmouth | Ocean city |
---|---|---|
Mental Health Not Good | 17.1% | 14.0% |
Physical Health Not Good | 12.1% | 8.7% |
Depression | 21.0% | 21.8% |
Smoking | 18.5% | 11.9% |
Binge Drinking | 15.0% | 20.3% |
Obesity | 47.1% | 29.8% |
Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Portsmouth vs Ocean city
- More residents in Portsmouth report poor mental health at 17.1% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Ocean city at 21.8% versus 21.0% in Portsmouth.
- Smoking is more prevalent in Portsmouth at 18.5% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 15.0% in Portsmouth.
- Obesity rates are higher in Portsmouth at 47.1% compared to 29.8% in Ocean city.
- Disability percentages are the same in both Portsmouth and Ocean city at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Portsmouth | Ocean city |
---|---|---|
No Schooling | 0.8% (737) | 0.4% (50) |
High School Diploma | 17.5% (17,012) | 16.9% (1,907) |
Less than High School | 9.6% (9,309) | 6.0% (676) |
Bachelor's Degree and Higher | 14.4% (13,933) | 43.6% (4,926) |
Education Levels Comparison: Portsmouth vs Ocean city
- A higher percentage of residents in Portsmouth have no formal schooling at 0.8% compared to 0.4% in Ocean city.
- A higher percentage of residents in Portsmouth hold a high school diploma at 17.5% compared to 16.9% in Ocean city.
- More residents in Portsmouth have less than a high school education at 9.6% 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 14.4% in Portsmouth.
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.