Demographics details for Chula vista, CA vs Topeka, KS
Population Overview
Compare main population characteristics in Chula vista, CA vs Topeka, KS.
| Data | Chula vista | Topeka |
|---|---|---|
| Population | 279,170 | 125,449 |
| Median Age | 36.1 years | 37.9 years |
| Median Income | $101,984 | $54,052 |
| Married Families | 39.0% | 34.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 4.8 | 3.7 |
Population Comparison: Chula vista vs Topeka
- In Chula vista, the population is higher at 279,170, compared to 125,449 in Topeka.
- The median age in Topeka is higher at 37.9 years, compared to 36.1 years in Chula vista.
- Chula vista has a higher median income of $101,984 compared to $54,052 in Topeka.
- A higher percentage of married families is found in Chula vista at 39.0% compared to 34.0% in Topeka.
- The poverty level is higher in Topeka at 14%, compared to 12% in Chula vista.
- The unemployment rate in Chula vista is higher at 4.8%, compared to 3.7% in Topeka.
Demographics
Demographics Chula vista vs Topeka provide insight into the diversity of the communities to compare.
| Demographic | Chula vista | Topeka |
|---|---|---|
| Black | 5 | 10 |
| White | -4 | 62 |
| Asian | 15 | 2 |
| Hispanic | 60 | 16 |
| Two or More Races | 23 | 9 |
| American Indian | 1 | 1 |
Demographics Comparison: Chula vista vs Topeka
- In Topeka, the percentage of Black residents is higher at 10% compared to 5% in Chula vista.
- The percentage of White residents is higher in Topeka at 62% compared to -4% in Chula vista.
- The Asian population is larger in Chula vista at 15% compared to 2% in Topeka.
- The Hispanic community is larger in Chula vista at 60% compared to 16% in Topeka.
- More residents identify as two or more races in Chula vista at 23% compared to 9% in Topeka.
- The percentage of American Indian residents is the same in both Chula vista and Topeka at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chula vista | Topeka |
|---|---|---|
| Mental Health Not Good | 15.1% | 18.3% |
| Physical Health Not Good | 11.1% | 11.3% |
| Depression | 15.8% | 25.5% |
| Smoking | 10.5% | 20.8% |
| Binge Drinking | 17.4% | 16.9% |
| Obesity | 24.9% | 41.0% |
| Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Chula vista vs Topeka
- In Topeka, a higher percentage report poor mental health at 18.3% compared to 15.1% in Chula vista.
- Higher depression rates are seen in Topeka at 25.5% versus 15.8% in Chula vista.
- Topeka has a higher smoking rate at 20.8% compared to 10.5% in Chula vista.
- Binge drinking is more common in Chula vista at 17.4% compared to 16.9% in Topeka.
- Topeka has higher obesity rates at 41.0% compared to 24.9% in Chula vista.
- There is a higher percentage of disabled individuals in Topeka at 15.0% compared to 9.0% in Chula vista.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chula vista | Topeka |
|---|---|---|
| No Schooling | 1.7% (4,667) | 1.1% (1,326) |
| High School Diploma | 11.7% (32,545) | 17.2% (21,594) |
| Less than High School | 18.1% (50,584) | 10.9% (13,657) |
| Bachelor's Degree and Higher | 20.4% (56,958) | 19.3% (24,214) |
Education Levels Comparison: Chula vista vs Topeka
- A higher percentage of residents in Chula vista have no formal schooling at 1.7% compared to 1.1% in Topeka.
- In Topeka, the rate of residents with high school diplomas is higher at 17.2% compared to 11.7% in Chula vista.
- More residents in Chula vista have less than a high school education at 18.1% compared to 10.9% in Topeka.
- A higher percentage of residents in Chula vista hold a bachelor's degree or higher at 20.4% compared to 19.3% in Topeka.
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.