Demographics details for Arvada, CO vs Ocean city, NJ
Population Overview
Compare main population characteristics in Arvada, CO vs Ocean city, NJ.
| Data | Arvada | Ocean city |
|---|---|---|
| Population | 121,581 | 11,303 |
| Median Age | 40.2 years | 56.9 years |
| Median Income | $106,014 | $98,576 |
| Married Families | 46.0% | 53.0% |
| Poverty Level | 6% | Data is updating |
| Unemployment Rate | 3.8 | 3.2 |
Population Comparison: Arvada vs Ocean city
- In Arvada, the population is higher at 121,581, compared to 11,303 in Ocean city.
- The median age in Ocean city is higher at 56.9 years, compared to 40.2 years in Arvada.
- Arvada has a higher median income of $106,014 compared to $98,576 in Ocean city.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 46.0% in Arvada.
- Arvada has a higher poverty level at 6% compared to 0% in Ocean city.
- The unemployment rate in Arvada is higher at 3.8%, compared to 3.2% in Ocean city.
Demographics
Demographics Arvada vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Arvada | Ocean city |
|---|---|---|
| Black | 1 | 3 |
| White | 73 | 86 |
| Asian | 2 | Data is updating |
| Hispanic | 15 | 8 |
| Two or More Races | 9 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Arvada vs Ocean city
- In Ocean city, the percentage of Black residents is higher at 3% compared to 1% in Arvada.
- The percentage of White residents is higher in Ocean city at 86% compared to 73% in Arvada.
- The Asian population is larger in Arvada at 2% compared to 0% in Ocean city.
- The Hispanic community is larger in Arvada at 15% compared to 8% in Ocean city.
- More residents identify as two or more races in Arvada at 9% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Arvada and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Arvada | Ocean city |
|---|---|---|
| Mental Health Not Good | 14.3% | 14.0% |
| Physical Health Not Good | 9.2% | 8.7% |
| Depression | 20.9% | 21.8% |
| Smoking | 13.8% | 11.9% |
| Binge Drinking | 22.1% | 20.3% |
| Obesity | 24.6% | 29.8% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Arvada vs Ocean city
- More residents in Arvada report poor mental health at 14.3% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Ocean city at 21.8% versus 20.9% in Arvada.
- Smoking is more prevalent in Arvada at 13.8% compared to 11.9% in Ocean city.
- Binge drinking is more common in Arvada at 22.1% compared to 20.3% in Ocean city.
- Ocean city has higher obesity rates at 29.8% compared to 24.6% in Arvada.
- There is a higher percentage of disabled individuals in Ocean city at 14.0% compared to 11.0% in Arvada.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Arvada | Ocean city |
|---|---|---|
| No Schooling | 0.4% (483) | 0.4% (50) |
| High School Diploma | 12.7% (15,387) | 16.9% (1,907) |
| Less than High School | 6.6% (8,032) | 6.0% (676) |
| Bachelor's Degree and Higher | 35.1% (42,624) | 43.6% (4,926) |
Education Levels Comparison: Arvada vs Ocean city
- The percentage of residents with no formal schooling is the same in both Arvada and Ocean city at 0.4%.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 12.7% in Arvada.
- More residents in Arvada have less than a high school education at 6.6% 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 35.1% in Arvada.
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.