Demographics details for Topeka, KS vs Penn valley, CA
Population Overview
Compare main population characteristics in Topeka, KS vs Penn valley, CA.
| Data | Topeka | Penn valley |
|---|---|---|
| Population | 125,449 | 1,188 |
| Median Age | 37.9 years | 55.7 years |
| Median Income | $54,052 | $65,882 |
| Married Families | 34.0% | 60.0% |
| Poverty Level | 14% | 8% |
| Unemployment Rate | 3.7 | 5.1 |
Population Comparison: Topeka vs Penn valley
- In Topeka, the population is higher at 125,449, compared to 1,188 in Penn valley.
- The median age in Penn valley is higher at 55.7 years, compared to 37.9 years in Topeka.
- Penn valley has a higher median income of $65,882, compared to $54,052 in Topeka.
- In Penn valley, the percentage of married families is higher at 60.0%, compared to 34.0% in Topeka.
- Topeka has a higher poverty level at 14% compared to 8% in Penn valley.
- Penn valley has a higher unemployment rate at 5.1% compared to 3.7% in Topeka.
Demographics
Demographics Topeka vs Penn valley provide insight into the diversity of the communities to compare.
| Demographic | Topeka | Penn valley |
|---|---|---|
| Black | 10 | Data is updating |
| White | 62 | 86 |
| Asian | 2 | Data is updating |
| Hispanic | 16 | 7 |
| Two or More Races | 9 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Topeka vs Penn valley
- A higher percentage of Black residents are in Topeka at 10% compared to 0% in Penn valley.
- The percentage of White residents is higher in Penn valley at 86% compared to 62% in Topeka.
- The Asian population is larger in Topeka at 2% compared to 0% in Penn valley.
- The Hispanic community is larger in Topeka at 16% compared to 7% in Penn valley.
- More residents identify as two or more races in Topeka at 9% compared to 7% in Penn valley.
- A greater percentage of American Indian residents live in Topeka at 1% compared to 0% in Penn valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Topeka | Penn valley |
|---|---|---|
| Mental Health Not Good | 18.3% | 18.4% |
| Physical Health Not Good | 11.3% | 11.8% |
| Depression | 25.5% | 22.9% |
| Smoking | 20.8% | 14.8% |
| Binge Drinking | 16.9% | 17.9% |
| Obesity | 41.0% | 29.5% |
| Disability Percentage | 15.0% | 30.0% |
Health Statistics Comparison: Topeka vs Penn valley
- In Penn valley, a higher percentage report poor mental health at 18.4% compared to 18.3% in Topeka.
- Depression is more prevalent in Topeka at 25.5% compared to 22.9% in Penn valley.
- Smoking is more prevalent in Topeka at 20.8% compared to 14.8% in Penn valley.
- More residents engage in binge drinking in Penn valley at 17.9% compared to 16.9% in Topeka.
- Obesity rates are higher in Topeka at 41.0% compared to 29.5% in Penn valley.
- There is a higher percentage of disabled individuals in Penn valley at 30.0% compared to 15.0% in Topeka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Topeka | Penn valley |
|---|---|---|
| No Schooling | 1.1% (1,326) | 4.9% (58) |
| High School Diploma | 17.2% (21,594) | 21.6% (257) |
| Less than High School | 10.9% (13,657) | 8.2% (98) |
| Bachelor's Degree and Higher | 19.3% (24,214) | 12.3% (146) |
Education Levels Comparison: Topeka vs Penn valley
- In Penn valley, a larger percentage of residents lack formal schooling at 4.9% compared to 1.1% in Topeka.
- In Penn valley, the rate of residents with high school diplomas is higher at 21.6% compared to 17.2% in Topeka.
- More residents in Topeka have less than a high school education at 10.9% compared to 8.2% in Penn valley.
- A higher percentage of residents in Topeka hold a bachelor's degree or higher at 19.3% compared to 12.3% in Penn valley.
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.