Demographics details for Lashmeet, WV vs Shepherd, MT
Population Overview
Compare main population characteristics in Lashmeet, WV vs Shepherd, MT.
| Data | Lashmeet | Shepherd |
|---|---|---|
| Population | 704 | 772 |
| Median Age | 61.1 years | 40.5 years |
| Median Income | $43,701 | $125,179 |
| Married Families | 38.0% | 47.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 4.0 | 2.5 |
Population Comparison: Lashmeet vs Shepherd
- The population in Shepherd is higher at 772, compared to 704 in Lashmeet.
- Residents in Lashmeet have a higher median age of 61.1 years compared to 40.5 years in Shepherd.
- Shepherd has a higher median income of $125,179, compared to $43,701 in Lashmeet.
- In Shepherd, the percentage of married families is higher at 47.0%, compared to 38.0% in Lashmeet.
- The poverty level is higher in Shepherd at 5%, compared to 0% in Lashmeet.
- The unemployment rate in Lashmeet is higher at 4.0%, compared to 2.5% in Shepherd.
Demographics
Demographics Lashmeet vs Shepherd provide insight into the diversity of the communities to compare.
| Demographic | Lashmeet | Shepherd |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | 14 |
Demographics Comparison: Lashmeet vs Shepherd
- The percentage of Black residents is the same in both Lashmeet and Shepherd at 0%.
- Lashmeet has a higher percentage of White residents at 100% compared to 86% in Shepherd.
- Both Lashmeet and Shepherd have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Lashmeet and Shepherd at 0%.
- Both Lashmeet and Shepherd have the same percentage of residents identifying as two or more races at 0%.
- In Shepherd, the percentage of American Indian residents is higher at 14%, compared to 0% in Lashmeet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lashmeet | Shepherd |
|---|---|---|
| Mental Health Not Good | 25.1% | 16.7% |
| Physical Health Not Good | 19.0% | 11.2% |
| Depression | 32.6% | 28.0% |
| Smoking | 27.7% | 16.7% |
| Binge Drinking | 12.2% | 23.7% |
| Obesity | 45.6% | 33.2% |
| Disability Percentage | 22.0% | 6.0% |
Health Statistics Comparison: Lashmeet vs Shepherd
- More residents in Lashmeet report poor mental health at 25.1% compared to 16.7% in Shepherd.
- Depression is more prevalent in Lashmeet at 32.6% compared to 28.0% in Shepherd.
- Smoking is more prevalent in Lashmeet at 27.7% compared to 16.7% in Shepherd.
- More residents engage in binge drinking in Shepherd at 23.7% compared to 12.2% in Lashmeet.
- Obesity rates are higher in Lashmeet at 45.6% compared to 33.2% in Shepherd.
- Disability percentages are higher in Lashmeet at 22.0% compared to 6.0% in Shepherd.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lashmeet | Shepherd |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 25.3% (178) | 16.2% (125) |
| Less than High School | 47.2% (332) | 8.0% (62) |
| Bachelor's Degree and Higher | 5.8% (41) | 17.9% (138) |
Education Levels Comparison: Lashmeet vs Shepherd
- The percentage of residents with no formal schooling is the same in both Lashmeet and Shepherd at 0.0%.
- A higher percentage of residents in Lashmeet hold a high school diploma at 25.3% compared to 16.2% in Shepherd.
- More residents in Lashmeet have less than a high school education at 47.2% compared to 8.0% in Shepherd.
- In Shepherd, a larger share of residents have a bachelor's degree or higher at 17.9% 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.