Demographics details for Iuka, MS vs Oceanside, CA
Population Overview
Compare main population characteristics in Iuka, MS vs Oceanside, CA.
| Data | Iuka | Oceanside |
|---|---|---|
| Population | 3,096 | 172,199 |
| Median Age | 37.2 years | 37.5 years |
| Median Income | $43,887 | $86,701 |
| Married Families | 40.0% | 41.0% |
| Poverty Level | 22% | 9% |
| Unemployment Rate | 5.0 | 4.6 |
Population Comparison: Iuka vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 3,096 in Iuka.
- The median age in Oceanside is higher at 37.5 years, compared to 37.2 years in Iuka.
- Oceanside has a higher median income of $86,701, compared to $43,887 in Iuka.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 40.0% in Iuka.
- Iuka has a higher poverty level at 22% compared to 9% in Oceanside.
- The unemployment rate in Iuka is higher at 5.0%, compared to 4.6% in Oceanside.
Demographics
Demographics Iuka vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Iuka | Oceanside |
|---|---|---|
| Black | 4 | 4 |
| White | 94 | 31 |
| Asian | Data is updating | 7 |
| Hispanic | Data is updating | 38 |
| Two or More Races | 2 | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Iuka vs Oceanside
- The percentage of Black residents is the same in both Iuka and Oceanside at 4%.
- Iuka has a higher percentage of White residents at 94% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 0% in Iuka.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 0% in Iuka.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 2% in Iuka.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Iuka.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Iuka | Oceanside |
|---|---|---|
| Mental Health Not Good | 19.6% | 16.2% |
| Physical Health Not Good | 15.1% | 10.9% |
| Depression | 26.4% | 17.9% |
| Smoking | 25.7% | 11.7% |
| Binge Drinking | 14.6% | 18.9% |
| Obesity | 40.0% | 25.0% |
| Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Iuka vs Oceanside
- More residents in Iuka report poor mental health at 19.6% compared to 16.2% in Oceanside.
- Depression is more prevalent in Iuka at 26.4% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Iuka at 25.7% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 14.6% in Iuka.
- Obesity rates are higher in Iuka at 40.0% compared to 25.0% in Oceanside.
- Disability percentages are higher in Iuka at 19.0% 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 | Iuka | Oceanside |
|---|---|---|
| No Schooling | 2.4% (75) | 1.7% (2,927) |
| High School Diploma | 19.9% (616) | 12.0% (20,662) |
| Less than High School | 21.0% (650) | 17.7% (30,528) |
| Bachelor's Degree and Higher | 11.2% (348) | 23.5% (40,490) |
Education Levels Comparison: Iuka vs Oceanside
- A higher percentage of residents in Iuka have no formal schooling at 2.4% compared to 1.7% in Oceanside.
- A higher percentage of residents in Iuka hold a high school diploma at 19.9% compared to 12.0% in Oceanside.
- More residents in Iuka have less than a high school education at 21.0% compared to 17.7% in Oceanside.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 11.2% in Iuka.
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.