Demographics details for Lindenhurst, NY vs Beckley, WV
Population Overview
Compare main population characteristics in Lindenhurst, NY vs Beckley, WV.
Data | Lindenhurst | Beckley |
---|---|---|
Population | 27,064 | 16,749 |
Median Age | 40.3 years | 40.7 years |
Median Income | $115,967 | $41,277 |
Married Families | 43.0% | 32.0% |
Poverty Level | 4% | 18% |
Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Lindenhurst vs Beckley
- In Lindenhurst, the population is higher at 27,064, compared to 16,749 in Beckley.
- The median age in Beckley is higher at 40.7 years, compared to 40.3 years in Lindenhurst.
- Lindenhurst has a higher median income of $115,967 compared to $41,277 in Beckley.
- A higher percentage of married families is found in Lindenhurst at 43.0% compared to 32.0% in Beckley.
- The poverty level is higher in Beckley at 18%, compared to 4% in Lindenhurst.
- Beckley has a higher unemployment rate at 3.5% compared to 3.4% in Lindenhurst.
Demographics
Demographics Lindenhurst vs Beckley provide insight into the diversity of the communities to compare.
Demographic | Lindenhurst | Beckley |
---|---|---|
Black | 4 | 18 |
White | 74 | 71 |
Asian | 2 | 2 |
Hispanic | 15 | 2 |
Two or More Races | 5 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lindenhurst vs Beckley
- In Beckley, the percentage of Black residents is higher at 18% compared to 4% in Lindenhurst.
- Lindenhurst has a higher percentage of White residents at 74% compared to 71% in Beckley.
- Both Lindenhurst and Beckley have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Lindenhurst at 15% compared to 2% in Beckley.
- The percentage of residents identifying as two or more races is higher in Beckley at 7%, compared to 5% in Lindenhurst.
- The percentage of American Indian residents is the same in both Lindenhurst and Beckley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lindenhurst | Beckley |
---|---|---|
Mental Health Not Good | 15.1% | 21.5% |
Physical Health Not Good | 9.1% | 15.9% |
Depression | 20.9% | 27.5% |
Smoking | 14.3% | 24.2% |
Binge Drinking | 17.3% | 11.9% |
Obesity | 29.3% | 41.4% |
Disability Percentage | 9.0% | 26.0% |
Health Statistics Comparison: Lindenhurst vs Beckley
- In Beckley, a higher percentage report poor mental health at 21.5% compared to 15.1% in Lindenhurst.
- Higher depression rates are seen in Beckley at 27.5% versus 20.9% in Lindenhurst.
- Beckley has a higher smoking rate at 24.2% compared to 14.3% in Lindenhurst.
- Binge drinking is more common in Lindenhurst at 17.3% compared to 11.9% in Beckley.
- Beckley has higher obesity rates at 41.4% compared to 29.3% in Lindenhurst.
- There is a higher percentage of disabled individuals in Beckley at 26.0% compared to 9.0% in Lindenhurst.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lindenhurst | Beckley |
---|---|---|
No Schooling | 1.0% (272) | 1.0% (166) |
High School Diploma | 21.0% (5,679) | 19.1% (3,193) |
Less than High School | 10.2% (2,762) | 13.5% (2,268) |
Bachelor's Degree and Higher | 21.2% (5,745) | 16.4% (2,745) |
Education Levels Comparison: Lindenhurst vs Beckley
- The percentage of residents with no formal schooling is the same in both Lindenhurst and Beckley at 1.0%.
- A higher percentage of residents in Lindenhurst hold a high school diploma at 21.0% compared to 19.1% in Beckley.
- The percentage of residents with less than a high school education is higher in Beckley at 13.5%, compared to 10.2% in Lindenhurst.
- A higher percentage of residents in Lindenhurst hold a bachelor's degree or higher at 21.2% compared to 16.4% in Beckley.
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.