Demographics details for Culver city, CA vs Sudan, TX
Population Overview
Compare main population characteristics in Culver city, CA vs Sudan, TX.
| Data | Culver city | Sudan |
|---|---|---|
| Population | 39,515 | 928 |
| Median Age | 41.5 years | 30.9 years |
| Median Income | $114,429 | $69,175 |
| Married Families | 43.0% | 40.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 5.8 | 2.2 |
Population Comparison: Culver city vs Sudan
- In Culver city, the population is higher at 39,515, compared to 928 in Sudan.
- Residents in Culver city have a higher median age of 41.5 years compared to 30.9 years in Sudan.
- Culver city has a higher median income of $114,429 compared to $69,175 in Sudan.
- A higher percentage of married families is found in Culver city at 43.0% compared to 40.0% in Sudan.
- The poverty level is higher in Sudan at 12%, compared to 9% in Culver city.
- The unemployment rate in Culver city is higher at 5.8%, compared to 2.2% in Sudan.
Demographics
Demographics Culver city vs Sudan provide insight into the diversity of the communities to compare.
| Demographic | Culver city | Sudan |
|---|---|---|
| Black | 8 | 2 |
| White | 38 | 29 |
| Asian | 18 | Data is updating |
| Hispanic | 21 | 58 |
| Two or More Races | 15 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Culver city vs Sudan
- A higher percentage of Black residents are in Culver city at 8% compared to 2% in Sudan.
- Culver city has a higher percentage of White residents at 38% compared to 29% in Sudan.
- The Asian population is larger in Culver city at 18% compared to 0% in Sudan.
- Sudan has a higher percentage of Hispanic residents at 58%, compared to 21% in Culver city.
- More residents identify as two or more races in Culver city at 15% compared to 11% in Sudan.
- The percentage of American Indian residents is the same in both Culver city and Sudan at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Culver city | Sudan |
|---|---|---|
| Mental Health Not Good | 13.1% | 18.2% |
| Physical Health Not Good | 8.1% | 13.3% |
| Depression | 15.2% | 24.0% |
| Smoking | 7.5% | 18.5% |
| Binge Drinking | 16.5% | 17.6% |
| Obesity | 24.1% | 37.3% |
| Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: Culver city vs Sudan
- In Sudan, a higher percentage report poor mental health at 18.2% compared to 13.1% in Culver city.
- Higher depression rates are seen in Sudan at 24.0% versus 15.2% in Culver city.
- Sudan has a higher smoking rate at 18.5% compared to 7.5% in Culver city.
- More residents engage in binge drinking in Sudan at 17.6% compared to 16.5% in Culver city.
- Sudan has higher obesity rates at 37.3% compared to 24.1% in Culver city.
- There is a higher percentage of disabled individuals in Sudan at 19.0% compared to 9.0% in Culver city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Culver city | Sudan |
|---|---|---|
| No Schooling | 1.3% (501) | 2.0% (19) |
| High School Diploma | 7.6% (3,000) | 25.5% (237) |
| Less than High School | 9.1% (3,605) | 16.4% (152) |
| Bachelor's Degree and Higher | 49.0% (19,344) | 10.9% (101) |
Education Levels Comparison: Culver city vs Sudan
- In Sudan, a larger percentage of residents lack formal schooling at 2.0% compared to 1.3% in Culver city.
- In Sudan, the rate of residents with high school diplomas is higher at 25.5% compared to 7.6% in Culver city.
- The percentage of residents with less than a high school education is higher in Sudan at 16.4%, compared to 9.1% in Culver city.
- A higher percentage of residents in Culver city hold a bachelor's degree or higher at 49.0% compared to 10.9% in Sudan.
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.