Demographics details for Oceanside, CA vs Malad city, ID
Population Overview
Compare main population characteristics in Oceanside, CA vs Malad city, ID.
Data | Oceanside | Malad city |
---|---|---|
Population | 172,199 | 2,273 |
Median Age | 37.5 years | 39.8 years |
Median Income | $86,701 | $68,594 |
Married Families | 41.0% | 47.0% |
Poverty Level | 9% | Data is updating |
Unemployment Rate | 4.6 | 3.6 |
Population Comparison: Oceanside vs Malad city
- In Oceanside, the population is higher at 172,199, compared to 2,273 in Malad city.
- The median age in Malad city is higher at 39.8 years, compared to 37.5 years in Oceanside.
- Oceanside has a higher median income of $86,701 compared to $68,594 in Malad city.
- In Malad city, the percentage of married families is higher at 47.0%, compared to 41.0% in Oceanside.
- Oceanside has a higher poverty level at 9% compared to 0% in Malad city.
- The unemployment rate in Oceanside is higher at 4.6%, compared to 3.6% in Malad city.
Demographics
Demographics Oceanside vs Malad city provide insight into the diversity of the communities to compare.
Demographic | Oceanside | Malad city |
---|---|---|
Black | 4 | Data is updating |
White | 31 | 97 |
Asian | 7 | Data is updating |
Hispanic | 38 | 2 |
Two or More Races | 19 | Data is updating |
American Indian | 1 | 1 |
Demographics Comparison: Oceanside vs Malad city
- A higher percentage of Black residents are in Oceanside at 4% compared to 0% in Malad city.
- The percentage of White residents is higher in Malad city at 97% compared to 31% in Oceanside.
- The Asian population is larger in Oceanside at 7% compared to 0% in Malad city.
- The Hispanic community is larger in Oceanside at 38% compared to 2% in Malad city.
- More residents identify as two or more races in Oceanside at 19% compared to 0% in Malad city.
- The percentage of American Indian residents is the same in both Oceanside and Malad city at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oceanside | Malad city |
---|---|---|
Mental Health Not Good | 16.2% | 16.3% |
Physical Health Not Good | 10.9% | 11.4% |
Depression | 17.9% | 22.9% |
Smoking | 11.7% | 16.7% |
Binge Drinking | 18.9% | 16.8% |
Obesity | 25.0% | 32.0% |
Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Oceanside vs Malad city
- In Malad city, a higher percentage report poor mental health at 16.3% compared to 16.2% in Oceanside.
- Higher depression rates are seen in Malad city at 22.9% versus 17.9% in Oceanside.
- Malad city has a higher smoking rate at 16.7% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.9% compared to 16.8% in Malad city.
- Malad city has higher obesity rates at 32.0% compared to 25.0% in Oceanside.
- There is a higher percentage of disabled individuals in Malad city 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 | Malad city |
---|---|---|
No Schooling | 1.7% (2,927) | 0.4% (9) |
High School Diploma | 12.0% (20,662) | 19.5% (443) |
Less than High School | 17.7% (30,528) | 8.6% (196) |
Bachelor's Degree and Higher | 23.5% (40,490) | 14.4% (327) |
Education Levels Comparison: Oceanside vs Malad city
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.4% in Malad city.
- In Malad city, the rate of residents with high school diplomas is higher at 19.5% compared to 12.0% in Oceanside.
- More residents in Oceanside have less than a high school education at 17.7% compared to 8.6% in Malad city.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 23.5% compared to 14.4% in Malad city.
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.