Demographics details for Holcomb, KS vs Penn valley, CA
Population Overview
Compare main population characteristics in Holcomb, KS vs Penn valley, CA.
| Data | Holcomb | Penn valley |
|---|---|---|
| Population | 2,199 | 1,188 |
| Median Age | 29.8 years | 55.7 years |
| Median Income | $81,111 | $65,882 |
| Married Families | 44.0% | 60.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 2.0 | 5.1 |
Population Comparison: Holcomb vs Penn valley
- In Holcomb, the population is higher at 2,199, compared to 1,188 in Penn valley.
- The median age in Penn valley is higher at 55.7 years, compared to 29.8 years in Holcomb.
- Holcomb has a higher median income of $81,111 compared to $65,882 in Penn valley.
- In Penn valley, the percentage of married families is higher at 60.0%, compared to 44.0% in Holcomb.
- Holcomb has a higher poverty level at 10% compared to 8% in Penn valley.
- Penn valley has a higher unemployment rate at 5.1% compared to 2.0% in Holcomb.
Demographics
Demographics Holcomb vs Penn valley provide insight into the diversity of the communities to compare.
| Demographic | Holcomb | Penn valley |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 36 | 86 |
| Asian | 2 | Data is updating |
| Hispanic | 45 | 7 |
| Two or More Races | 17 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Holcomb vs Penn valley
- The percentage of Black residents is the same in both Holcomb and Penn valley at 0%.
- The percentage of White residents is higher in Penn valley at 86% compared to 36% in Holcomb.
- The Asian population is larger in Holcomb at 2% compared to 0% in Penn valley.
- The Hispanic community is larger in Holcomb at 45% compared to 7% in Penn valley.
- More residents identify as two or more races in Holcomb at 17% compared to 7% in Penn valley.
- The percentage of American Indian residents is the same in both Holcomb and Penn valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Holcomb | Penn valley |
|---|---|---|
| Mental Health Not Good | 14.9% | 18.4% |
| Physical Health Not Good | 10.5% | 11.8% |
| Depression | 19.0% | 22.9% |
| Smoking | 17.1% | 14.8% |
| Binge Drinking | 19.5% | 17.9% |
| Obesity | 36.9% | 29.5% |
| Disability Percentage | 9.0% | 30.0% |
Health Statistics Comparison: Holcomb vs Penn valley
- In Penn valley, a higher percentage report poor mental health at 18.4% compared to 14.9% in Holcomb.
- Higher depression rates are seen in Penn valley at 22.9% versus 19.0% in Holcomb.
- Smoking is more prevalent in Holcomb at 17.1% compared to 14.8% in Penn valley.
- Binge drinking is more common in Holcomb at 19.5% compared to 17.9% in Penn valley.
- Obesity rates are higher in Holcomb at 36.9% compared to 29.5% in Penn valley.
- There is a higher percentage of disabled individuals in Penn valley at 30.0% compared to 9.0% in Holcomb.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Holcomb | Penn valley |
|---|---|---|
| No Schooling | 1.1% (25) | 4.9% (58) |
| High School Diploma | 15.5% (340) | 21.6% (257) |
| Less than High School | 21.8% (479) | 8.2% (98) |
| Bachelor's Degree and Higher | 8.5% (188) | 12.3% (146) |
Education Levels Comparison: Holcomb vs Penn valley
- In Penn valley, a larger percentage of residents lack formal schooling at 4.9% compared to 1.1% in Holcomb.
- In Penn valley, the rate of residents with high school diplomas is higher at 21.6% compared to 15.5% in Holcomb.
- More residents in Holcomb have less than a high school education at 21.8% compared to 8.2% in Penn valley.
- In Penn valley, a larger share of residents have a bachelor's degree or higher at 12.3% compared to 8.5% in Holcomb.
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.