Demographics details for Penn valley, CA vs Pachuta, MS
Population Overview
Compare main population characteristics in Penn valley, CA vs Pachuta, MS.
| Data | Penn valley | Pachuta |
|---|---|---|
| Population | 1,188 | 199 |
| Median Age | 55.7 years | 53.0 years |
| Median Income | $65,882 | $31,964 |
| Married Families | 60.0% | 36.0% |
| Poverty Level | 8% | 21% |
| Unemployment Rate | 5.1 | 5.0 |
Population Comparison: Penn valley vs Pachuta
- In Penn valley, the population is higher at 1,188, compared to 199 in Pachuta.
- Residents in Penn valley have a higher median age of 55.7 years compared to 53.0 years in Pachuta.
- Penn valley has a higher median income of $65,882 compared to $31,964 in Pachuta.
- A higher percentage of married families is found in Penn valley at 60.0% compared to 36.0% in Pachuta.
- The poverty level is higher in Pachuta at 21%, compared to 8% in Penn valley.
- The unemployment rate in Penn valley is higher at 5.1%, compared to 5.0% in Pachuta.
Demographics
Demographics Penn valley vs Pachuta provide insight into the diversity of the communities to compare.
| Demographic | Penn valley | Pachuta |
|---|---|---|
| Black | Data is updating | 39 |
| White | 86 | 55 |
| Asian | Data is updating | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Penn valley vs Pachuta
- In Pachuta, the percentage of Black residents is higher at 39% compared to 0% in Penn valley.
- Penn valley has a higher percentage of White residents at 86% compared to 55% in Pachuta.
- Both Penn valley and Pachuta have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Penn valley at 7% compared to 0% in Pachuta.
- More residents identify as two or more races in Penn valley at 7% compared to 6% in Pachuta.
- The percentage of American Indian residents is the same in both Penn valley and Pachuta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Penn valley | Pachuta |
|---|---|---|
| Mental Health Not Good | 18.4% | 19.9% |
| Physical Health Not Good | 11.8% | 15.4% |
| Depression | 22.9% | 24.7% |
| Smoking | 14.8% | 25.8% |
| Binge Drinking | 17.9% | 12.9% |
| Obesity | 29.5% | 47.3% |
| Disability Percentage | 30.0% | 36.0% |
Health Statistics Comparison: Penn valley vs Pachuta
- In Pachuta, a higher percentage report poor mental health at 19.9% compared to 18.4% in Penn valley.
- Higher depression rates are seen in Pachuta at 24.7% versus 22.9% in Penn valley.
- Pachuta has a higher smoking rate at 25.8% compared to 14.8% in Penn valley.
- Binge drinking is more common in Penn valley at 17.9% compared to 12.9% in Pachuta.
- Pachuta has higher obesity rates at 47.3% compared to 29.5% in Penn valley.
- There is a higher percentage of disabled individuals in Pachuta at 36.0% compared to 30.0% in Penn valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Penn valley | Pachuta |
|---|---|---|
| No Schooling | 4.9% (58) | 0.0% (Data is updating) |
| High School Diploma | 21.6% (257) | 16.1% (32) |
| Less than High School | 8.2% (98) | 24.6% (49) |
| Bachelor's Degree and Higher | 12.3% (146) | 8.0% (16) |
Education Levels Comparison: Penn valley vs Pachuta
- A higher percentage of residents in Penn valley have no formal schooling at 4.9% compared to 0.0% in Pachuta.
- A higher percentage of residents in Penn valley hold a high school diploma at 21.6% compared to 16.1% in Pachuta.
- The percentage of residents with less than a high school education is higher in Pachuta at 24.6%, compared to 8.2% in Penn valley.
- A higher percentage of residents in Penn valley hold a bachelor's degree or higher at 12.3% compared to 8.0% in Pachuta.
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.