Demographics details for Oceanside, CA vs Binford, ND
Population Overview
Compare main population characteristics in Oceanside, CA vs Binford, ND.
| Data | Oceanside | Binford |
|---|---|---|
| Population | 172,199 | 163 |
| Median Age | 37.5 years | 42.5 years |
| Median Income | $86,701 | $46,250 |
| Married Families | 41.0% | 33.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 4.6 | 2.5 |
Population Comparison: Oceanside vs Binford
- In Oceanside, the population is higher at 172,199, compared to 163 in Binford.
- The median age in Binford is higher at 42.5 years, compared to 37.5 years in Oceanside.
- Oceanside has a higher median income of $86,701 compared to $46,250 in Binford.
- A higher percentage of married families is found in Oceanside at 41.0% compared to 33.0% in Binford.
- The poverty level is higher in Binford at 10%, compared to 9% in Oceanside.
- The unemployment rate in Oceanside is higher at 4.6%, compared to 2.5% in Binford.
Demographics
Demographics Oceanside vs Binford provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Binford |
|---|---|---|
| Black | 4 | Data is updating |
| White | 31 | 94 |
| Asian | 7 | Data is updating |
| Hispanic | 38 | 6 |
| Two or More Races | 19 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oceanside vs Binford
- A higher percentage of Black residents are in Oceanside at 4% compared to 0% in Binford.
- The percentage of White residents is higher in Binford at 94% compared to 31% in Oceanside.
- The Asian population is larger in Oceanside at 7% compared to 0% in Binford.
- The Hispanic community is larger in Oceanside at 38% compared to 6% in Binford.
- More residents identify as two or more races in Oceanside at 19% compared to 0% in Binford.
- A greater percentage of American Indian residents live in Oceanside at 1% compared to 0% in Binford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Binford |
|---|---|---|
| Mental Health Not Good | 16.2% | 14.3% |
| Physical Health Not Good | 10.9% | 9.8% |
| Depression | 17.9% | 20.1% |
| Smoking | 11.7% | 17.0% |
| Binge Drinking | 18.9% | 21.9% |
| Obesity | 25.0% | 40.0% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Oceanside vs Binford
- More residents in Oceanside report poor mental health at 16.2% compared to 14.3% in Binford.
- Higher depression rates are seen in Binford at 20.1% versus 17.9% in Oceanside.
- Binford has a higher smoking rate at 17.0% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Binford at 21.9% compared to 18.9% in Oceanside.
- Binford has higher obesity rates at 40.0% compared to 25.0% in Oceanside.
- Disability percentages are higher in Oceanside at 12.0% compared to 10.0% in Binford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Binford |
|---|---|---|
| No Schooling | 1.7% (2,927) | 0.0% (Data is updating) |
| High School Diploma | 12.0% (20,662) | 23.9% (39) |
| Less than High School | 17.7% (30,528) | 11.0% (18) |
| Bachelor's Degree and Higher | 23.5% (40,490) | 17.2% (28) |
Education Levels Comparison: Oceanside vs Binford
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.0% in Binford.
- In Binford, the rate of residents with high school diplomas is higher at 23.9% compared to 12.0% in Oceanside.
- More residents in Oceanside have less than a high school education at 17.7% compared to 11.0% in Binford.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 23.5% compared to 17.2% in Binford.
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.