Demographics details for Culver city, CA vs Franklin, WI
Population Overview
Compare main population characteristics in Culver city, CA vs Franklin, WI.
| Data | Culver city | Franklin |
|---|---|---|
| Population | 39,515 | 36,066 |
| Median Age | 41.5 years | 44.3 years |
| Median Income | $114,429 | $100,524 |
| Married Families | 43.0% | 50.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 5.8 | 3.2 |
Population Comparison: Culver city vs Franklin
- In Culver city, the population is higher at 39,515, compared to 36,066 in Franklin.
- The median age in Franklin is higher at 44.3 years, compared to 41.5 years in Culver city.
- Culver city has a higher median income of $114,429 compared to $100,524 in Franklin.
- In Franklin, the percentage of married families is higher at 50.0%, compared to 43.0% in Culver city.
- Culver city has a higher poverty level at 9% compared to 5% in Franklin.
- The unemployment rate in Culver city is higher at 5.8%, compared to 3.2% in Franklin.
Demographics
Demographics Culver city vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Culver city | Franklin |
|---|---|---|
| Black | 8 | 4 |
| White | 38 | 80 |
| Asian | 18 | 6 |
| Hispanic | 21 | 6 |
| Two or More Races | 15 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Culver city vs Franklin
- A higher percentage of Black residents are in Culver city at 8% compared to 4% in Franklin.
- The percentage of White residents is higher in Franklin at 80% compared to 38% in Culver city.
- The Asian population is larger in Culver city at 18% compared to 6% in Franklin.
- The Hispanic community is larger in Culver city at 21% compared to 6% in Franklin.
- More residents identify as two or more races in Culver city at 15% compared to 4% in Franklin.
- The percentage of American Indian residents is the same in both Culver city and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Culver city | Franklin |
|---|---|---|
| Mental Health Not Good | 13.1% | 13.4% |
| Physical Health Not Good | 8.1% | 7.9% |
| Depression | 15.2% | 21.9% |
| Smoking | 7.5% | 12.8% |
| Binge Drinking | 16.5% | 27.0% |
| Obesity | 24.1% | 30.9% |
| Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Culver city vs Franklin
- In Franklin, a higher percentage report poor mental health at 13.4% compared to 13.1% in Culver city.
- Higher depression rates are seen in Franklin at 21.9% versus 15.2% in Culver city.
- Franklin has a higher smoking rate at 12.8% compared to 7.5% in Culver city.
- More residents engage in binge drinking in Franklin at 27.0% compared to 16.5% in Culver city.
- Franklin has higher obesity rates at 30.9% compared to 24.1% in Culver city.
- Disability percentages are higher in Culver city at 9.0% compared to 8.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Culver city | Franklin |
|---|---|---|
| No Schooling | 1.3% (501) | 0.3% (98) |
| High School Diploma | 7.6% (3,000) | 15.5% (5,595) |
| Less than High School | 9.1% (3,605) | 6.8% (2,462) |
| Bachelor's Degree and Higher | 49.0% (19,344) | 31.8% (11,484) |
Education Levels Comparison: Culver city vs Franklin
- A higher percentage of residents in Culver city have no formal schooling at 1.3% compared to 0.3% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 15.5% compared to 7.6% in Culver city.
- More residents in Culver city have less than a high school education at 9.1% compared to 6.8% in Franklin.
- A higher percentage of residents in Culver city hold a bachelor's degree or higher at 49.0% compared to 31.8% in Franklin.
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.