Demographics details for Berkeley, CA vs Wilmington, NC
Population Overview
Compare main population characteristics in Berkeley, CA vs Wilmington, NC.
| Data | Berkeley | Wilmington |
|---|---|---|
| Population | 118,950 | 120,324 |
| Median Age | 32.5 years | 37.6 years |
| Median Income | $104,716 | $58,908 |
| Married Families | 31.0% | 32.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 4.5 | 3.7 |
Population Comparison: Berkeley vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 118,950 in Berkeley.
- The median age in Wilmington is higher at 37.6 years, compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716 compared to $58,908 in Wilmington.
- In Wilmington, the percentage of married families is higher at 32.0%, compared to 31.0% in Berkeley.
- Berkeley has a higher poverty level at 14% compared to 12% in Wilmington.
- The unemployment rate in Berkeley is higher at 4.5%, compared to 3.7% in Wilmington.
Demographics
Demographics Berkeley vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Berkeley | Wilmington |
|---|---|---|
| Black | 8 | 16 |
| White | 48 | 71 |
| Asian | 21 | 1 |
| Hispanic | 12 | 7 |
| Two or More Races | 10 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Berkeley vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 8% in Berkeley.
- The percentage of White residents is higher in Wilmington at 71% compared to 48% in Berkeley.
- The Asian population is larger in Berkeley at 21% compared to 1% in Wilmington.
- The Hispanic community is larger in Berkeley at 12% compared to 7% in Wilmington.
- More residents identify as two or more races in Berkeley at 10% compared to 5% in Wilmington.
- A greater percentage of American Indian residents live in Berkeley at 1% compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berkeley | Wilmington |
|---|---|---|
| Mental Health Not Good | 15.0% | 16.9% |
| Physical Health Not Good | 8.6% | 11.0% |
| Depression | 18.8% | 25.0% |
| Smoking | 9.0% | 16.5% |
| Binge Drinking | 16.1% | 18.5% |
| Obesity | 26.8% | 33.2% |
| Disability Percentage | 10.0% | 12.0% |
Health Statistics Comparison: Berkeley vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 16.9% compared to 15.0% in Berkeley.
- Higher depression rates are seen in Wilmington at 25.0% versus 18.8% in Berkeley.
- Wilmington has a higher smoking rate at 16.5% compared to 9.0% in Berkeley.
- More residents engage in binge drinking in Wilmington at 18.5% compared to 16.1% in Berkeley.
- Wilmington has higher obesity rates at 33.2% compared to 26.8% in Berkeley.
- There is a higher percentage of disabled individuals in Wilmington at 12.0% compared to 10.0% in Berkeley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berkeley | Wilmington |
|---|---|---|
| No Schooling | 0.7% (780) | 0.5% (560) |
| High School Diploma | 3.9% (4,580) | 10.5% (12,679) |
| Less than High School | 4.0% (4,800) | 7.1% (8,513) |
| Bachelor's Degree and Higher | 47.8% (56,907) | 28.5% (34,319) |
Education Levels Comparison: Berkeley vs Wilmington
- A higher percentage of residents in Berkeley have no formal schooling at 0.7% compared to 0.5% in Wilmington.
- In Wilmington, the rate of residents with high school diplomas is higher at 10.5% compared to 3.9% in Berkeley.
- The percentage of residents with less than a high school education is higher in Wilmington at 7.1%, compared to 4.0% in Berkeley.
- A higher percentage of residents in Berkeley hold a bachelor's degree or higher at 47.8% compared to 28.5% in Wilmington.
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.