Demographics details for Lashmeet, WV vs Penn valley, CA
Population Overview
Compare main population characteristics in Lashmeet, WV vs Penn valley, CA.
Data | Lashmeet | Penn valley |
---|---|---|
Population | 704 | 1,188 |
Median Age | 61.1 years | 55.7 years |
Median Income | $43,701 | $65,882 |
Married Families | 38.0% | 60.0% |
Poverty Level | Data is updating | 8% |
Unemployment Rate | 4.0 | 5.1 |
Population Comparison: Lashmeet vs Penn valley
- The population in Penn valley is higher at 1,188, compared to 704 in Lashmeet.
- Residents in Lashmeet have a higher median age of 61.1 years compared to 55.7 years in Penn valley.
- Penn valley has a higher median income of $65,882, compared to $43,701 in Lashmeet.
- In Penn valley, the percentage of married families is higher at 60.0%, compared to 38.0% in Lashmeet.
- The poverty level is higher in Penn valley at 8%, compared to 0% in Lashmeet.
- Penn valley has a higher unemployment rate at 5.1% compared to 4.0% in Lashmeet.
Demographics
Demographics Lashmeet vs Penn valley provide insight into the diversity of the communities to compare.
Demographic | Lashmeet | Penn valley |
---|---|---|
Black | Data is updating | Data is updating |
White | 100 | 86 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 7 |
Two or More Races | Data is updating | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lashmeet vs Penn valley
- The percentage of Black residents is the same in both Lashmeet and Penn valley at 0%.
- Lashmeet has a higher percentage of White residents at 100% compared to 86% in Penn valley.
- Both Lashmeet and Penn valley have the same percentage of Asian residents at 0%.
- Penn valley has a higher percentage of Hispanic residents at 7%, compared to 0% in Lashmeet.
- The percentage of residents identifying as two or more races is higher in Penn valley at 7%, compared to 0% in Lashmeet.
- The percentage of American Indian residents is the same in both Lashmeet and Penn valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lashmeet | Penn valley |
---|---|---|
Mental Health Not Good | 25.1% | 18.4% |
Physical Health Not Good | 19.0% | 11.8% |
Depression | 32.6% | 22.9% |
Smoking | 27.7% | 14.8% |
Binge Drinking | 12.2% | 17.9% |
Obesity | 45.6% | 29.5% |
Disability Percentage | 22.0% | 30.0% |
Health Statistics Comparison: Lashmeet vs Penn valley
- More residents in Lashmeet report poor mental health at 25.1% compared to 18.4% in Penn valley.
- Depression is more prevalent in Lashmeet at 32.6% compared to 22.9% in Penn valley.
- Smoking is more prevalent in Lashmeet at 27.7% compared to 14.8% in Penn valley.
- More residents engage in binge drinking in Penn valley at 17.9% compared to 12.2% in Lashmeet.
- Obesity rates are higher in Lashmeet at 45.6% compared to 29.5% in Penn valley.
- There is a higher percentage of disabled individuals in Penn valley at 30.0% compared to 22.0% in Lashmeet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lashmeet | Penn valley |
---|---|---|
No Schooling | 0.0% (Data is updating) | 4.9% (58) |
High School Diploma | 25.3% (178) | 21.6% (257) |
Less than High School | 47.2% (332) | 8.2% (98) |
Bachelor's Degree and Higher | 5.8% (41) | 12.3% (146) |
Education Levels Comparison: Lashmeet vs Penn valley
- In Penn valley, a larger percentage of residents lack formal schooling at 4.9% compared to 0.0% in Lashmeet.
- A higher percentage of residents in Lashmeet hold a high school diploma at 25.3% compared to 21.6% in Penn valley.
- More residents in Lashmeet have less than a high school education at 47.2% 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 5.8% in Lashmeet.
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.