Demographics details for Oceanside, CA vs Gooding, ID
Population Overview
Compare main population characteristics in Oceanside, CA vs Gooding, ID.
| Data | Oceanside | Gooding |
|---|---|---|
| Population | 172,199 | 15,715 |
| Median Age | 37.5 years | 38.3 years |
| Median Income | $86,701 | $60,938 |
| Married Families | 41.0% | 40.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 4.6 | 2.9 |
Population Comparison: Oceanside vs Gooding
- In Oceanside, the population is higher at 172,199, compared to 15,715 in Gooding.
- The median age in Gooding is higher at 38.3 years, compared to 37.5 years in Oceanside.
- Oceanside has a higher median income of $86,701 compared to $60,938 in Gooding.
- A higher percentage of married families is found in Oceanside at 41.0% compared to 40.0% in Gooding.
- Oceanside has a higher poverty level at 9% compared to 8% in Gooding.
- The unemployment rate in Oceanside is higher at 4.6%, compared to 2.9% in Gooding.
Demographics
Demographics Oceanside vs Gooding provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Gooding |
|---|---|---|
| Black | 4 | Data is updating |
| White | 31 | 60 |
| Asian | 7 | Data is updating |
| Hispanic | 38 | 29 |
| Two or More Races | 19 | 9 |
| American Indian | 1 | 2 |
Demographics Comparison: Oceanside vs Gooding
- A higher percentage of Black residents are in Oceanside at 4% compared to 0% in Gooding.
- The percentage of White residents is higher in Gooding at 60% compared to 31% in Oceanside.
- The Asian population is larger in Oceanside at 7% compared to 0% in Gooding.
- The Hispanic community is larger in Oceanside at 38% compared to 29% in Gooding.
- More residents identify as two or more races in Oceanside at 19% compared to 9% in Gooding.
- In Gooding, the percentage of American Indian residents is higher at 2%, compared to 1% in Oceanside.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Gooding |
|---|---|---|
| Mental Health Not Good | 16.2% | 16.4% |
| Physical Health Not Good | 10.9% | 12.8% |
| Depression | 17.9% | 22.7% |
| Smoking | 11.7% | 18.0% |
| Binge Drinking | 18.9% | 15.6% |
| Obesity | 25.0% | 36.9% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Oceanside vs Gooding
- In Gooding, a higher percentage report poor mental health at 16.4% compared to 16.2% in Oceanside.
- Higher depression rates are seen in Gooding at 22.7% versus 17.9% in Oceanside.
- Gooding has a higher smoking rate at 18.0% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.9% compared to 15.6% in Gooding.
- Gooding has higher obesity rates at 36.9% compared to 25.0% in Oceanside.
- There is a higher percentage of disabled individuals in Gooding at 15.0% compared to 12.0% in Oceanside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Gooding |
|---|---|---|
| No Schooling | 1.7% (2,927) | 0.8% (131) |
| High School Diploma | 12.0% (20,662) | 19.5% (3,066) |
| Less than High School | 17.7% (30,528) | 26.7% (4,203) |
| Bachelor's Degree and Higher | 23.5% (40,490) | 10.1% (1,588) |
Education Levels Comparison: Oceanside vs Gooding
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.8% in Gooding.
- In Gooding, the rate of residents with high school diplomas is higher at 19.5% compared to 12.0% in Oceanside.
- The percentage of residents with less than a high school education is higher in Gooding at 26.7%, compared to 17.7% in Oceanside.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 23.5% compared to 10.1% in Gooding.
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.