Demographics details for Arvin, CA vs Oakland park, FL
Population Overview
Compare main population characteristics in Arvin, CA vs Oakland park, FL.
| Data | Arvin | Oakland park |
|---|---|---|
| Population | 19,611 | 43,824 |
| Median Age | 24.9 years | 39.1 years |
| Median Income | $47,997 | $64,989 |
| Married Families | 32.0% | 30.0% |
| Poverty Level | 25% | 14% |
| Unemployment Rate | 6.2 | 3.1 |
Population Comparison: Arvin vs Oakland park
- The population in Oakland park is higher at 43,824, compared to 19,611 in Arvin.
- The median age in Oakland park is higher at 39.1 years, compared to 24.9 years in Arvin.
- Oakland park has a higher median income of $64,989, compared to $47,997 in Arvin.
- A higher percentage of married families is found in Arvin at 32.0% compared to 30.0% in Oakland park.
- Arvin has a higher poverty level at 25% compared to 14% in Oakland park.
- The unemployment rate in Arvin is higher at 6.2%, compared to 3.1% in Oakland park.
Demographics
Demographics Arvin vs Oakland park provide insight into the diversity of the communities to compare.
| Demographic | Arvin | Oakland park |
|---|---|---|
| Black | 1 | 29 |
| White | -19 | 20 |
| Asian | 1 | 2 |
| Hispanic | 95 | 32 |
| Two or More Races | 21 | 17 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Arvin vs Oakland park
- In Oakland park, the percentage of Black residents is higher at 29% compared to 1% in Arvin.
- The percentage of White residents is higher in Oakland park at 20% compared to -19% in Arvin.
- In Oakland park, the Asian population stands at 2%, greater than 1% in Arvin.
- The Hispanic community is larger in Arvin at 95% compared to 32% in Oakland park.
- More residents identify as two or more races in Arvin at 21% compared to 17% in Oakland park.
- A greater percentage of American Indian residents live in Arvin at 1% compared to 0% in Oakland park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Arvin | Oakland park |
|---|---|---|
| Mental Health Not Good | 20.3% | 16.3% |
| Physical Health Not Good | 19.9% | 12.2% |
| Depression | 20.1% | 17.8% |
| Smoking | 21.0% | 20.1% |
| Binge Drinking | 13.5% | 15.0% |
| Obesity | 42.4% | 31.1% |
| Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Arvin vs Oakland park
- More residents in Arvin report poor mental health at 20.3% compared to 16.3% in Oakland park.
- Depression is more prevalent in Arvin at 20.1% compared to 17.8% in Oakland park.
- Smoking is more prevalent in Arvin at 21.0% compared to 20.1% in Oakland park.
- More residents engage in binge drinking in Oakland park at 15.0% compared to 13.5% in Arvin.
- Obesity rates are higher in Arvin at 42.4% compared to 31.1% in Oakland park.
- There is a higher percentage of disabled individuals in Oakland park at 11.0% compared to 6.0% in Arvin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Arvin | Oakland park |
|---|---|---|
| No Schooling | 4.3% (840) | 1.4% (596) |
| High School Diploma | 11.8% (2,305) | 19.8% (8,695) |
| Less than High School | 53.7% (10,540) | 16.2% (7,092) |
| Bachelor's Degree and Higher | 2.0% (383) | 20.7% (9,073) |
Education Levels Comparison: Arvin vs Oakland park
- A higher percentage of residents in Arvin have no formal schooling at 4.3% compared to 1.4% in Oakland park.
- In Oakland park, the rate of residents with high school diplomas is higher at 19.8% compared to 11.8% in Arvin.
- More residents in Arvin have less than a high school education at 53.7% compared to 16.2% in Oakland park.
- In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 2.0% in Arvin.
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.