Demographics details for Grinnell, KS vs Oceanside, CA
Population Overview
Compare main population characteristics in Grinnell, KS vs Oceanside, CA.
| Data | Grinnell | Oceanside |
|---|---|---|
| Population | 254 | 172,199 |
| Median Age | 37.9 years | 37.5 years |
| Median Income | $56,042 | $86,701 |
| Married Families | 58.0% | 41.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.2 | 4.6 |
Population Comparison: Grinnell vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 254 in Grinnell.
- Residents in Grinnell have a higher median age of 37.9 years compared to 37.5 years in Oceanside.
- Oceanside has a higher median income of $86,701, compared to $56,042 in Grinnell.
- A higher percentage of married families is found in Grinnell at 58.0% compared to 41.0% in Oceanside.
- Grinnell has a higher poverty level at 12% compared to 9% in Oceanside.
- Oceanside has a higher unemployment rate at 4.6% compared to 3.2% in Grinnell.
Demographics
Demographics Grinnell vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Grinnell | Oceanside |
|---|---|---|
| Black | Data is updating | 4 |
| White | 100 | 31 |
| Asian | Data is updating | 7 |
| Hispanic | Data is updating | 38 |
| Two or More Races | Data is updating | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Grinnell vs Oceanside
- In Oceanside, the percentage of Black residents is higher at 4% compared to 0% in Grinnell.
- Grinnell has a higher percentage of White residents at 100% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 0% in Grinnell.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 0% in Grinnell.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 0% in Grinnell.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Grinnell.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Grinnell | Oceanside |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.2% |
| Physical Health Not Good | 9.6% | 10.9% |
| Depression | 20.1% | 17.9% |
| Smoking | 17.6% | 11.7% |
| Binge Drinking | 20.4% | 18.9% |
| Obesity | 38.3% | 25.0% |
| Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Grinnell vs Oceanside
- In Oceanside, a higher percentage report poor mental health at 16.2% compared to 15.1% in Grinnell.
- Depression is more prevalent in Grinnell at 20.1% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Grinnell at 17.6% compared to 11.7% in Oceanside.
- Binge drinking is more common in Grinnell at 20.4% compared to 18.9% in Oceanside.
- Obesity rates are higher in Grinnell at 38.3% compared to 25.0% in Oceanside.
- Disability percentages are higher in Grinnell 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 | Grinnell | Oceanside |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.7% (2,927) |
| High School Diploma | 18.9% (48) | 12.0% (20,662) |
| Less than High School | 16.5% (42) | 17.7% (30,528) |
| Bachelor's Degree and Higher | 16.9% (43) | 23.5% (40,490) |
Education Levels Comparison: Grinnell vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Grinnell.
- A higher percentage of residents in Grinnell hold a high school diploma at 18.9% compared to 12.0% in Oceanside.
- The percentage of residents with less than a high school education is higher in Oceanside at 17.7%, compared to 16.5% in Grinnell.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 16.9% in Grinnell.
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.