Demographics details for Culver city, CA vs Winona lake, IN
Population Overview
Compare main population characteristics in Culver city, CA vs Winona lake, IN.
| Data | Culver city | Winona lake |
|---|---|---|
| Population | 39,515 | 5,106 |
| Median Age | 41.5 years | 28.9 years |
| Median Income | $114,429 | $77,305 |
| Married Families | 43.0% | 36.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 5.8 | 2.5 |
Population Comparison: Culver city vs Winona lake
- In Culver city, the population is higher at 39,515, compared to 5,106 in Winona lake.
- Residents in Culver city have a higher median age of 41.5 years compared to 28.9 years in Winona lake.
- Culver city has a higher median income of $114,429 compared to $77,305 in Winona lake.
- A higher percentage of married families is found in Culver city at 43.0% compared to 36.0% in Winona lake.
- Culver city has a higher poverty level at 9% compared to 5% in Winona lake.
- The unemployment rate in Culver city is higher at 5.8%, compared to 2.5% in Winona lake.
Demographics
Demographics Culver city vs Winona lake provide insight into the diversity of the communities to compare.
| Demographic | Culver city | Winona lake |
|---|---|---|
| Black | 8 | 1 |
| White | 38 | 79 |
| Asian | 18 | 1 |
| Hispanic | 21 | 14 |
| Two or More Races | 15 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Culver city vs Winona lake
- A higher percentage of Black residents are in Culver city at 8% compared to 1% in Winona lake.
- The percentage of White residents is higher in Winona lake at 79% compared to 38% in Culver city.
- The Asian population is larger in Culver city at 18% compared to 1% in Winona lake.
- The Hispanic community is larger in Culver city at 21% compared to 14% in Winona lake.
- More residents identify as two or more races in Culver city at 15% compared to 5% in Winona lake.
- The percentage of American Indian residents is the same in both Culver city and Winona lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Culver city | Winona lake |
|---|---|---|
| Mental Health Not Good | 13.1% | 15.7% |
| Physical Health Not Good | 8.1% | 9.8% |
| Depression | 15.2% | 24.7% |
| Smoking | 7.5% | 16.3% |
| Binge Drinking | 16.5% | 18.1% |
| Obesity | 24.1% | 35.6% |
| Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Culver city vs Winona lake
- In Winona lake, a higher percentage report poor mental health at 15.7% compared to 13.1% in Culver city.
- Higher depression rates are seen in Winona lake at 24.7% versus 15.2% in Culver city.
- Winona lake has a higher smoking rate at 16.3% compared to 7.5% in Culver city.
- More residents engage in binge drinking in Winona lake at 18.1% compared to 16.5% in Culver city.
- Winona lake has higher obesity rates at 35.6% compared to 24.1% in Culver city.
- Disability percentages are higher in Culver city at 9.0% compared to 8.0% in Winona lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Culver city | Winona lake |
|---|---|---|
| No Schooling | 1.3% (501) | 0.3% (17) |
| High School Diploma | 7.6% (3,000) | 9.5% (483) |
| Less than High School | 9.1% (3,605) | 4.0% (205) |
| Bachelor's Degree and Higher | 49.0% (19,344) | 32.4% (1,654) |
Education Levels Comparison: Culver city vs Winona lake
- A higher percentage of residents in Culver city have no formal schooling at 1.3% compared to 0.3% in Winona lake.
- In Winona lake, the rate of residents with high school diplomas is higher at 9.5% compared to 7.6% in Culver city.
- More residents in Culver city have less than a high school education at 9.1% compared to 4.0% in Winona lake.
- A higher percentage of residents in Culver city hold a bachelor's degree or higher at 49.0% compared to 32.4% in Winona lake.
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.