Demographics details for Oceanside, CA vs West fargo, ND
Population Overview
Compare main population characteristics in Oceanside, CA vs West fargo, ND.
| Data | Oceanside | West fargo |
|---|---|---|
| Population | 172,199 | 39,985 |
| Median Age | 37.5 years | 32.5 years |
| Median Income | $86,701 | $96,929 |
| Married Families | 41.0% | 43.0% |
| Poverty Level | 9% | 6% |
| Unemployment Rate | 4.6 | 2.2 |
Population Comparison: Oceanside vs West fargo
- In Oceanside, the population is higher at 172,199, compared to 39,985 in West fargo.
- Residents in Oceanside have a higher median age of 37.5 years compared to 32.5 years in West fargo.
- West fargo has a higher median income of $96,929, compared to $86,701 in Oceanside.
- In West fargo, the percentage of married families is higher at 43.0%, compared to 41.0% in Oceanside.
- Oceanside has a higher poverty level at 9% compared to 6% in West fargo.
- The unemployment rate in Oceanside is higher at 4.6%, compared to 2.2% in West fargo.
Demographics
Demographics Oceanside vs West fargo provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | West fargo |
|---|---|---|
| Black | 4 | 3 |
| White | 31 | 87 |
| Asian | 7 | 2 |
| Hispanic | 38 | 2 |
| Two or More Races | 19 | 5 |
| American Indian | 1 | 1 |
Demographics Comparison: Oceanside vs West fargo
- A higher percentage of Black residents are in Oceanside at 4% compared to 3% in West fargo.
- The percentage of White residents is higher in West fargo at 87% compared to 31% in Oceanside.
- The Asian population is larger in Oceanside at 7% compared to 2% in West fargo.
- The Hispanic community is larger in Oceanside at 38% compared to 2% in West fargo.
- More residents identify as two or more races in Oceanside at 19% compared to 5% in West fargo.
- The percentage of American Indian residents is the same in both Oceanside and West fargo at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | West fargo |
|---|---|---|
| Mental Health Not Good | 16.2% | 12.2% |
| Physical Health Not Good | 10.9% | 8.3% |
| Depression | 17.9% | 19.7% |
| Smoking | 11.7% | 13.2% |
| Binge Drinking | 18.9% | 21.9% |
| Obesity | 25.0% | 34.6% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Oceanside vs West fargo
- More residents in Oceanside report poor mental health at 16.2% compared to 12.2% in West fargo.
- Higher depression rates are seen in West fargo at 19.7% versus 17.9% in Oceanside.
- West fargo has a higher smoking rate at 13.2% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in West fargo at 21.9% compared to 18.9% in Oceanside.
- West fargo has higher obesity rates at 34.6% compared to 25.0% in Oceanside.
- Disability percentages are higher in Oceanside at 12.0% compared to 7.0% in West fargo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | West fargo |
|---|---|---|
| No Schooling | 1.7% (2,927) | 0.2% (82) |
| High School Diploma | 12.0% (20,662) | 9.0% (3,583) |
| Less than High School | 17.7% (30,528) | 3.0% (1,203) |
| Bachelor's Degree and Higher | 23.5% (40,490) | 27.1% (10,840) |
Education Levels Comparison: Oceanside vs West fargo
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.2% in West fargo.
- A higher percentage of residents in Oceanside hold a high school diploma at 12.0% compared to 9.0% in West fargo.
- More residents in Oceanside have less than a high school education at 17.7% compared to 3.0% in West fargo.
- In West fargo, a larger share of residents have a bachelor's degree or higher at 27.1% compared to 23.5% in Oceanside.
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.