Demographics details for Arvada, CO vs Oakland park, FL
Population Overview
Compare main population characteristics in Arvada, CO vs Oakland park, FL.
Data | Arvada | Oakland park |
---|---|---|
Population | 121,581 | 43,824 |
Median Age | 40.2 years | 39.1 years |
Median Income | $106,014 | $64,989 |
Married Families | 46.0% | 30.0% |
Poverty Level | 6% | 14% |
Unemployment Rate | 3.8 | 3.1 |
Population Comparison: Arvada vs Oakland park
- In Arvada, the population is higher at 121,581, compared to 43,824 in Oakland park.
- Residents in Arvada have a higher median age of 40.2 years compared to 39.1 years in Oakland park.
- Arvada has a higher median income of $106,014 compared to $64,989 in Oakland park.
- A higher percentage of married families is found in Arvada at 46.0% compared to 30.0% in Oakland park.
- The poverty level is higher in Oakland park at 14%, compared to 6% in Arvada.
- The unemployment rate in Arvada is higher at 3.8%, compared to 3.1% in Oakland park.
Demographics
Demographics Arvada vs Oakland park provide insight into the diversity of the communities to compare.
Demographic | Arvada | Oakland park |
---|---|---|
Black | 1 | 29 |
White | 73 | 20 |
Asian | 2 | 2 |
Hispanic | 15 | 32 |
Two or More Races | 9 | 17 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Arvada vs Oakland park
- In Oakland park, the percentage of Black residents is higher at 29% compared to 1% in Arvada.
- Arvada has a higher percentage of White residents at 73% compared to 20% in Oakland park.
- Both Arvada and Oakland park have the same percentage of Asian residents at 2%.
- Oakland park has a higher percentage of Hispanic residents at 32%, compared to 15% in Arvada.
- The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 9% in Arvada.
- The percentage of American Indian residents is the same in both Arvada and Oakland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Arvada | Oakland park |
---|---|---|
Mental Health Not Good | 14.3% | 16.3% |
Physical Health Not Good | 9.2% | 12.2% |
Depression | 20.9% | 17.8% |
Smoking | 13.8% | 20.1% |
Binge Drinking | 22.1% | 15.0% |
Obesity | 24.6% | 31.1% |
Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Arvada vs Oakland park
- In Oakland park, a higher percentage report poor mental health at 16.3% compared to 14.3% in Arvada.
- Depression is more prevalent in Arvada at 20.9% compared to 17.8% in Oakland park.
- Oakland park has a higher smoking rate at 20.1% compared to 13.8% in Arvada.
- Binge drinking is more common in Arvada at 22.1% compared to 15.0% in Oakland park.
- Oakland park has higher obesity rates at 31.1% compared to 24.6% in Arvada.
- Disability percentages are the same in both Arvada and Oakland park at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Arvada | Oakland park |
---|---|---|
No Schooling | 0.4% (483) | 1.4% (596) |
High School Diploma | 12.7% (15,387) | 19.8% (8,695) |
Less than High School | 6.6% (8,032) | 16.2% (7,092) |
Bachelor's Degree and Higher | 35.1% (42,624) | 20.7% (9,073) |
Education Levels Comparison: Arvada vs Oakland park
- In Oakland park, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Arvada.
- In Oakland park, the rate of residents with high school diplomas is higher at 19.8% compared to 12.7% in Arvada.
- The percentage of residents with less than a high school education is higher in Oakland park at 16.2%, compared to 6.6% in Arvada.
- A higher percentage of residents in Arvada hold a bachelor's degree or higher at 35.1% compared to 20.7% in Oakland park.
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.