Demographics details for Ormond beach, FL vs Lashmeet, WV
Population Overview
Compare main population characteristics in Ormond beach, FL vs Lashmeet, WV.
Data | Ormond beach | Lashmeet |
---|---|---|
Population | 44,052 | 704 |
Median Age | 51.9 years | 61.1 years |
Median Income | $65,238 | $43,701 |
Married Families | 42.0% | 38.0% |
Poverty Level | 9% | Data is updating |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Ormond beach vs Lashmeet
- In Ormond beach, the population is higher at 44,052, compared to 704 in Lashmeet.
- The median age in Lashmeet is higher at 61.1 years, compared to 51.9 years in Ormond beach.
- Ormond beach has a higher median income of $65,238 compared to $43,701 in Lashmeet.
- A higher percentage of married families is found in Ormond beach at 42.0% compared to 38.0% in Lashmeet.
- Ormond beach has a higher poverty level at 9% compared to 0% in Lashmeet.
- Lashmeet has a higher unemployment rate at 4.0% compared to 3.5% in Ormond beach.
Demographics
Demographics Ormond beach vs Lashmeet provide insight into the diversity of the communities to compare.
Demographic | Ormond beach | Lashmeet |
---|---|---|
Black | 6 | Data is updating |
White | 80 | 100 |
Asian | 3 | Data is updating |
Hispanic | 7 | Data is updating |
Two or More Races | 4 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ormond beach vs Lashmeet
- A higher percentage of Black residents are in Ormond beach at 6% compared to 0% in Lashmeet.
- The percentage of White residents is higher in Lashmeet at 100% compared to 80% in Ormond beach.
- The Asian population is larger in Ormond beach at 3% compared to 0% in Lashmeet.
- The Hispanic community is larger in Ormond beach at 7% compared to 0% in Lashmeet.
- More residents identify as two or more races in Ormond beach at 4% compared to 0% in Lashmeet.
- The percentage of American Indian residents is the same in both Ormond beach and Lashmeet at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ormond beach | Lashmeet |
---|---|---|
Mental Health Not Good | 16.1% | 25.1% |
Physical Health Not Good | 10.1% | 19.0% |
Depression | 21.1% | 32.6% |
Smoking | 19.2% | 27.7% |
Binge Drinking | 18.8% | 12.2% |
Obesity | 30.8% | 45.6% |
Disability Percentage | 15.0% | 22.0% |
Health Statistics Comparison: Ormond beach vs Lashmeet
- In Lashmeet, a higher percentage report poor mental health at 25.1% compared to 16.1% in Ormond beach.
- Higher depression rates are seen in Lashmeet at 32.6% versus 21.1% in Ormond beach.
- Lashmeet has a higher smoking rate at 27.7% compared to 19.2% in Ormond beach.
- Binge drinking is more common in Ormond beach at 18.8% compared to 12.2% in Lashmeet.
- Lashmeet has higher obesity rates at 45.6% compared to 30.8% in Ormond beach.
- There is a higher percentage of disabled individuals in Lashmeet at 22.0% compared to 15.0% in Ormond beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ormond beach | Lashmeet |
---|---|---|
No Schooling | 0.4% (173) | 0.0% (Data is updating) |
High School Diploma | 16.1% (7,098) | 25.3% (178) |
Less than High School | 8.9% (3,901) | 47.2% (332) |
Bachelor's Degree and Higher | 26.5% (11,653) | 5.8% (41) |
Education Levels Comparison: Ormond beach vs Lashmeet
- A higher percentage of residents in Ormond beach 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 16.1% in Ormond beach.
- The percentage of residents with less than a high school education is higher in Lashmeet at 47.2%, compared to 8.9% in Ormond beach.
- A higher percentage of residents in Ormond beach hold a bachelor's degree or higher at 26.5% 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.