Demographics details for Pine, AZ vs Lashmeet, WV
Population Overview
Compare main population characteristics in Pine, AZ vs Lashmeet, WV.
| Data | Pine | Lashmeet |
|---|---|---|
| Population | 1,526 | 704 |
| Median Age | 68.7 years | 61.1 years |
| Median Income | $54,720 | $43,701 |
| Married Families | 64.0% | 38.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 4.2 | 4.0 |
Population Comparison: Pine vs Lashmeet
- In Pine, the population is higher at 1,526, compared to 704 in Lashmeet.
- Residents in Pine have a higher median age of 68.7 years compared to 61.1 years in Lashmeet.
- Pine has a higher median income of $54,720 compared to $43,701 in Lashmeet.
- A higher percentage of married families is found in Pine at 64.0% compared to 38.0% in Lashmeet.
- Pine has a higher poverty level at 10% compared to 0% in Lashmeet.
- The unemployment rate in Pine is higher at 4.2%, compared to 4.0% in Lashmeet.
Demographics
Demographics Pine vs Lashmeet provide insight into the diversity of the communities to compare.
| Demographic | Pine | Lashmeet |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 96 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pine vs Lashmeet
- The percentage of Black residents is the same in both Pine and Lashmeet at 0%.
- The percentage of White residents is higher in Lashmeet at 100% compared to 96% in Pine.
- Both Pine and Lashmeet have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Pine at 4% compared to 0% in Lashmeet.
- Both Pine and Lashmeet have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Pine and Lashmeet at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pine | Lashmeet |
|---|---|---|
| Mental Health Not Good | 16.5% | 25.1% |
| Physical Health Not Good | 9.8% | 19.0% |
| Depression | 20.3% | 32.6% |
| Smoking | 15.0% | 27.7% |
| Binge Drinking | 21.2% | 12.2% |
| Obesity | 31.2% | 45.6% |
| Disability Percentage | 36.0% | 22.0% |
Health Statistics Comparison: Pine vs Lashmeet
- In Lashmeet, a higher percentage report poor mental health at 25.1% compared to 16.5% in Pine.
- Higher depression rates are seen in Lashmeet at 32.6% versus 20.3% in Pine.
- Lashmeet has a higher smoking rate at 27.7% compared to 15.0% in Pine.
- Binge drinking is more common in Pine at 21.2% compared to 12.2% in Lashmeet.
- Lashmeet has higher obesity rates at 45.6% compared to 31.2% in Pine.
- Disability percentages are higher in Pine at 36.0% 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 | Pine | Lashmeet |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 21.5% (328) | 25.3% (178) |
| Less than High School | 3.8% (58) | 47.2% (332) |
| Bachelor's Degree and Higher | 26.6% (406) | 5.8% (41) |
Education Levels Comparison: Pine vs Lashmeet
- The percentage of residents with no formal schooling is the same in both Pine and Lashmeet at 0.0%.
- In Lashmeet, the rate of residents with high school diplomas is higher at 25.3% compared to 21.5% in Pine.
- The percentage of residents with less than a high school education is higher in Lashmeet at 47.2%, compared to 3.8% in Pine.
- A higher percentage of residents in Pine hold a bachelor's degree or higher at 26.6% 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.