Demographics details for North beach, MD vs Merced, CA
Population Overview
Compare main population characteristics in North beach, MD vs Merced, CA.
| Data | North beach | Merced |
|---|---|---|
| Population | 2,176 | 91,563 |
| Median Age | 32.2 years | 29.9 years |
| Median Income | $78,442 | $59,233 |
| Married Families | 28.0% | 28.0% |
| Poverty Level | 5% | 21% |
| Unemployment Rate | 3.5 | 8.2 |
Population Comparison: North beach vs Merced
- The population in Merced is higher at 91,563, compared to 2,176 in North beach.
- Residents in North beach have a higher median age of 32.2 years compared to 29.9 years in Merced.
- North beach has a higher median income of $78,442 compared to $59,233 in Merced.
- The percentage of married families is the same in both North beach and Merced at 28.0%.
- The poverty level is higher in Merced at 21%, compared to 5% in North beach.
- Merced has a higher unemployment rate at 8.2% compared to 3.5% in North beach.
Demographics
Demographics North beach vs Merced provide insight into the diversity of the communities to compare.
| Demographic | North beach | Merced |
|---|---|---|
| Black | 27 | 4 |
| White | 49 | 18 |
| Asian | 9 | 10 |
| Hispanic | 6 | 57 |
| Two or More Races | 8 | 10 |
| American Indian | 1 | 1 |
Demographics Comparison: North beach vs Merced
- A higher percentage of Black residents are in North beach at 27% compared to 4% in Merced.
- North beach has a higher percentage of White residents at 49% compared to 18% in Merced.
- In Merced, the Asian population stands at 10%, greater than 9% in North beach.
- Merced has a higher percentage of Hispanic residents at 57%, compared to 6% in North beach.
- The percentage of residents identifying as two or more races is higher in Merced at 10%, compared to 8% in North beach.
- The percentage of American Indian residents is the same in both North beach and Merced at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | North beach | Merced |
|---|---|---|
| Mental Health Not Good | 15.8% | 18.4% |
| Physical Health Not Good | 9.3% | 14.9% |
| Depression | 20.4% | 19.8% |
| Smoking | 13.4% | 17.2% |
| Binge Drinking | 18.0% | 14.5% |
| Obesity | 35.4% | 33.7% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: North beach vs Merced
- In Merced, a higher percentage report poor mental health at 18.4% compared to 15.8% in North beach.
- Depression is more prevalent in North beach at 20.4% compared to 19.8% in Merced.
- Merced has a higher smoking rate at 17.2% compared to 13.4% in North beach.
- Binge drinking is more common in North beach at 18.0% compared to 14.5% in Merced.
- Obesity rates are higher in North beach at 35.4% compared to 33.7% in Merced.
- There is a higher percentage of disabled individuals in Merced at 13.0% compared to 11.0% in North beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | North beach | Merced |
|---|---|---|
| No Schooling | 1.4% (31) | 2.0% (1,807) |
| High School Diploma | 13.7% (299) | 12.3% (11,246) |
| Less than High School | 7.5% (164) | 24.2% (22,176) |
| Bachelor's Degree and Higher | 29.1% (633) | 9.4% (8,562) |
Education Levels Comparison: North beach vs Merced
- In Merced, a larger percentage of residents lack formal schooling at 2.0% compared to 1.4% in North beach.
- A higher percentage of residents in North beach hold a high school diploma at 13.7% compared to 12.3% in Merced.
- The percentage of residents with less than a high school education is higher in Merced at 24.2%, compared to 7.5% in North beach.
- A higher percentage of residents in North beach hold a bachelor's degree or higher at 29.1% compared to 9.4% in Merced.
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.