Demographics details for Old monroe, MO vs Lashmeet, WV
Population Overview
Compare main population characteristics in Old monroe, MO vs Lashmeet, WV.
Data | Old monroe | Lashmeet |
---|---|---|
Population | 263 | 704 |
Median Age | 33.0 years | 61.1 years |
Median Income | $61,250 | $43,701 |
Married Families | 28.0% | 38.0% |
Poverty Level | 10% | Data is updating |
Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Old monroe vs Lashmeet
- The population in Lashmeet is higher at 704, compared to 263 in Old monroe.
- The median age in Lashmeet is higher at 61.1 years, compared to 33.0 years in Old monroe.
- Old monroe has a higher median income of $61,250 compared to $43,701 in Lashmeet.
- In Lashmeet, the percentage of married families is higher at 38.0%, compared to 28.0% in Old monroe.
- Old monroe has a higher poverty level at 10% compared to 0% in Lashmeet.
- The unemployment rate in Old monroe is higher at 4.5%, compared to 4.0% in Lashmeet.
Demographics
Demographics Old monroe vs Lashmeet provide insight into the diversity of the communities to compare.
Demographic | Old monroe | Lashmeet |
---|---|---|
Black | Data is updating | Data is updating |
White | 100 | 100 |
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 | Data is updating |
Demographics Comparison: Old monroe vs Lashmeet
- The percentage of Black residents is the same in both Old monroe and Lashmeet at 0%.
- The percentage of White residents is the same in both Old monroe and Lashmeet at 100%.
- Both Old monroe and Lashmeet have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Old monroe and Lashmeet at 0%.
- Both Old monroe 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 Old monroe and Lashmeet at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Old monroe | Lashmeet |
---|---|---|
Mental Health Not Good | 18.6% | 25.1% |
Physical Health Not Good | 13.7% | 19.0% |
Depression | 26.0% | 32.6% |
Smoking | 22.2% | 27.7% |
Binge Drinking | 17.9% | 12.2% |
Obesity | 44.3% | 45.6% |
Disability Percentage | 13.0% | 22.0% |
Health Statistics Comparison: Old monroe vs Lashmeet
- In Lashmeet, a higher percentage report poor mental health at 25.1% compared to 18.6% in Old monroe.
- Higher depression rates are seen in Lashmeet at 32.6% versus 26.0% in Old monroe.
- Lashmeet has a higher smoking rate at 27.7% compared to 22.2% in Old monroe.
- Binge drinking is more common in Old monroe at 17.9% compared to 12.2% in Lashmeet.
- Lashmeet has higher obesity rates at 45.6% compared to 44.3% in Old monroe.
- There is a higher percentage of disabled individuals in Lashmeet at 22.0% compared to 13.0% in Old monroe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Old monroe | Lashmeet |
---|---|---|
No Schooling | 0.4% (1) | 0.0% (Data is updating) |
High School Diploma | 19.0% (50) | 25.3% (178) |
Less than High School | 10.6% (28) | 47.2% (332) |
Bachelor's Degree and Higher | 5.3% (14) | 5.8% (41) |
Education Levels Comparison: Old monroe vs Lashmeet
- A higher percentage of residents in Old monroe have no formal schooling at 0.4% compared to 0.0% in Lashmeet.
- In Lashmeet, the rate of residents with high school diplomas is higher at 25.3% compared to 19.0% in Old monroe.
- The percentage of residents with less than a high school education is higher in Lashmeet at 47.2%, compared to 10.6% in Old monroe.
- In Lashmeet, a larger share of residents have a bachelor's degree or higher at 5.8% compared to 5.3% in Old monroe.
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.