Demographics details for Lashmeet, WV vs Selma, CA
Population Overview
Compare main population characteristics in Lashmeet, WV vs Selma, CA.
| Data | Lashmeet | Selma |
|---|---|---|
| Population | 704 | 24,430 |
| Median Age | 61.1 years | 31.3 years |
| Median Income | $43,701 | $53,874 |
| Married Families | 38.0% | 30.0% |
| Poverty Level | Data is updating | 20% |
| Unemployment Rate | 4.0 | 6.5 |
Population Comparison: Lashmeet vs Selma
- The population in Selma is higher at 24,430, compared to 704 in Lashmeet.
- Residents in Lashmeet have a higher median age of 61.1 years compared to 31.3 years in Selma.
- Selma has a higher median income of $53,874, compared to $43,701 in Lashmeet.
- A higher percentage of married families is found in Lashmeet at 38.0% compared to 30.0% in Selma.
- The poverty level is higher in Selma at 20%, compared to 0% in Lashmeet.
- Selma has a higher unemployment rate at 6.5% compared to 4.0% in Lashmeet.
Demographics
Demographics Lashmeet vs Selma provide insight into the diversity of the communities to compare.
| Demographic | Lashmeet | Selma |
|---|---|---|
| Black | Data is updating | 1 |
| White | 100 | -2 |
| Asian | Data is updating | 3 |
| Hispanic | Data is updating | 84 |
| Two or More Races | Data is updating | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lashmeet vs Selma
- In Selma, the percentage of Black residents is higher at 1% compared to 0% in Lashmeet.
- Lashmeet has a higher percentage of White residents at 100% compared to -2% in Selma.
- In Selma, the Asian population stands at 3%, greater than 0% in Lashmeet.
- Selma has a higher percentage of Hispanic residents at 84%, compared to 0% in Lashmeet.
- The percentage of residents identifying as two or more races is higher in Selma at 13%, compared to 0% in Lashmeet.
- In Selma, the percentage of American Indian residents is higher at 1%, compared to 0% in Lashmeet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lashmeet | Selma |
|---|---|---|
| Mental Health Not Good | 25.1% | 18.0% |
| Physical Health Not Good | 19.0% | 15.1% |
| Depression | 32.6% | 17.4% |
| Smoking | 27.7% | 15.7% |
| Binge Drinking | 12.2% | 13.6% |
| Obesity | 45.6% | 40.5% |
| Disability Percentage | 22.0% | 12.0% |
Health Statistics Comparison: Lashmeet vs Selma
- More residents in Lashmeet report poor mental health at 25.1% compared to 18.0% in Selma.
- Depression is more prevalent in Lashmeet at 32.6% compared to 17.4% in Selma.
- Smoking is more prevalent in Lashmeet at 27.7% compared to 15.7% in Selma.
- More residents engage in binge drinking in Selma at 13.6% compared to 12.2% in Lashmeet.
- Obesity rates are higher in Lashmeet at 45.6% compared to 40.5% in Selma.
- Disability percentages are higher in Lashmeet at 22.0% compared to 12.0% in Selma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lashmeet | Selma |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.8% (938) |
| High School Diploma | 25.3% (178) | 14.6% (3,577) |
| Less than High School | 47.2% (332) | 33.9% (8,285) |
| Bachelor's Degree and Higher | 5.8% (41) | 7.0% (1,712) |
Education Levels Comparison: Lashmeet vs Selma
- In Selma, a larger percentage of residents lack formal schooling at 3.8% compared to 0.0% in Lashmeet.
- A higher percentage of residents in Lashmeet hold a high school diploma at 25.3% compared to 14.6% in Selma.
- More residents in Lashmeet have less than a high school education at 47.2% compared to 33.9% in Selma.
- In Selma, a larger share of residents have a bachelor's degree or higher at 7.0% 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.