Demographics details for Berkeley, CA vs Lynn haven, FL
Population Overview
Compare main population characteristics in Berkeley, CA vs Lynn haven, FL.
| Data | Berkeley | Lynn haven |
|---|---|---|
| Population | 118,950 | 20,044 |
| Median Age | 32.5 years | 35.4 years |
| Median Income | $104,716 | $81,378 |
| Married Families | 31.0% | 43.0% |
| Poverty Level | 14% | 7% |
| Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Berkeley vs Lynn haven
- In Berkeley, the population is higher at 118,950, compared to 20,044 in Lynn haven.
- The median age in Lynn haven is higher at 35.4 years, compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716 compared to $81,378 in Lynn haven.
- In Lynn haven, the percentage of married families is higher at 43.0%, compared to 31.0% in Berkeley.
- Berkeley has a higher poverty level at 14% compared to 7% in Lynn haven.
- The unemployment rate in Berkeley is higher at 4.5%, compared to 4.1% in Lynn haven.
Demographics
Demographics Berkeley vs Lynn haven provide insight into the diversity of the communities to compare.
| Demographic | Berkeley | Lynn haven |
|---|---|---|
| Black | 8 | 8 |
| White | 48 | 73 |
| Asian | 21 | 3 |
| Hispanic | 12 | 8 |
| Two or More Races | 10 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Berkeley vs Lynn haven
- The percentage of Black residents is the same in both Berkeley and Lynn haven at 8%.
- The percentage of White residents is higher in Lynn haven at 73% compared to 48% in Berkeley.
- The Asian population is larger in Berkeley at 21% compared to 3% in Lynn haven.
- The Hispanic community is larger in Berkeley at 12% compared to 8% in Lynn haven.
- More residents identify as two or more races in Berkeley at 10% compared to 8% in Lynn haven.
- A greater percentage of American Indian residents live in Berkeley at 1% compared to 0% in Lynn haven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berkeley | Lynn haven |
|---|---|---|
| Mental Health Not Good | 15.0% | 16.1% |
| Physical Health Not Good | 8.6% | 10.4% |
| Depression | 18.8% | 21.3% |
| Smoking | 9.0% | 18.6% |
| Binge Drinking | 16.1% | 16.9% |
| Obesity | 26.8% | 28.9% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Berkeley vs Lynn haven
- In Lynn haven, a higher percentage report poor mental health at 16.1% compared to 15.0% in Berkeley.
- Higher depression rates are seen in Lynn haven at 21.3% versus 18.8% in Berkeley.
- Lynn haven has a higher smoking rate at 18.6% compared to 9.0% in Berkeley.
- More residents engage in binge drinking in Lynn haven at 16.9% compared to 16.1% in Berkeley.
- Lynn haven has higher obesity rates at 28.9% compared to 26.8% in Berkeley.
- There is a higher percentage of disabled individuals in Lynn haven at 14.0% 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 | Lynn haven |
|---|---|---|
| No Schooling | 0.7% (780) | 1.1% (217) |
| High School Diploma | 3.9% (4,580) | 11.8% (2,373) |
| Less than High School | 4.0% (4,800) | 7.9% (1,576) |
| Bachelor's Degree and Higher | 47.8% (56,907) | 19.8% (3,974) |
Education Levels Comparison: Berkeley vs Lynn haven
- In Lynn haven, a larger percentage of residents lack formal schooling at 1.1% compared to 0.7% in Berkeley.
- In Lynn haven, the rate of residents with high school diplomas is higher at 11.8% compared to 3.9% in Berkeley.
- The percentage of residents with less than a high school education is higher in Lynn haven at 7.9%, 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 19.8% in Lynn haven.
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.