Demographics details for Lindenhurst, NY vs Moscow, ID
Population Overview
Compare main population characteristics in Lindenhurst, NY vs Moscow, ID.
| Data | Lindenhurst | Moscow |
|---|---|---|
| Population | 27,064 | 26,249 |
| Median Age | 40.3 years | 24.8 years |
| Median Income | $115,967 | $53,679 |
| Married Families | 43.0% | 28.0% |
| Poverty Level | 4% | 15% |
| Unemployment Rate | 3.4 | 4.2 |
Population Comparison: Lindenhurst vs Moscow
- In Lindenhurst, the population is higher at 27,064, compared to 26,249 in Moscow.
- Residents in Lindenhurst have a higher median age of 40.3 years compared to 24.8 years in Moscow.
- Lindenhurst has a higher median income of $115,967 compared to $53,679 in Moscow.
- A higher percentage of married families is found in Lindenhurst at 43.0% compared to 28.0% in Moscow.
- The poverty level is higher in Moscow at 15%, compared to 4% in Lindenhurst.
- Moscow has a higher unemployment rate at 4.2% compared to 3.4% in Lindenhurst.
Demographics
Demographics Lindenhurst vs Moscow provide insight into the diversity of the communities to compare.
| Demographic | Lindenhurst | Moscow |
|---|---|---|
| Black | 4 | 2 |
| White | 74 | 83 |
| Asian | 2 | 3 |
| Hispanic | 15 | 5 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lindenhurst vs Moscow
- A higher percentage of Black residents are in Lindenhurst at 4% compared to 2% in Moscow.
- The percentage of White residents is higher in Moscow at 83% compared to 74% in Lindenhurst.
- In Moscow, the Asian population stands at 3%, greater than 2% in Lindenhurst.
- The Hispanic community is larger in Lindenhurst at 15% compared to 5% in Moscow.
- The percentage of residents identifying as two or more races is higher in Moscow at 6%, compared to 5% in Lindenhurst.
- In Moscow, the percentage of American Indian residents is higher at 1%, compared to 0% in Lindenhurst.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lindenhurst | Moscow |
|---|---|---|
| Mental Health Not Good | 15.1% | 15.4% |
| Physical Health Not Good | 9.1% | 10.6% |
| Depression | 20.9% | 24.5% |
| Smoking | 14.3% | 13.6% |
| Binge Drinking | 17.3% | 17.1% |
| Obesity | 29.3% | 31.2% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Lindenhurst vs Moscow
- In Moscow, a higher percentage report poor mental health at 15.4% compared to 15.1% in Lindenhurst.
- Higher depression rates are seen in Moscow at 24.5% versus 20.9% in Lindenhurst.
- Smoking is more prevalent in Lindenhurst at 14.3% compared to 13.6% in Moscow.
- Binge drinking is more common in Lindenhurst at 17.3% compared to 17.1% in Moscow.
- Moscow has higher obesity rates at 31.2% compared to 29.3% in Lindenhurst.
- There is a higher percentage of disabled individuals in Moscow at 10.0% 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 | Moscow |
|---|---|---|
| No Schooling | 1.0% (272) | 0.3% (80) |
| High School Diploma | 21.0% (5,679) | 5.7% (1,492) |
| Less than High School | 10.2% (2,762) | 2.0% (515) |
| Bachelor's Degree and Higher | 21.2% (5,745) | 25.8% (6,776) |
Education Levels Comparison: Lindenhurst vs Moscow
- A higher percentage of residents in Lindenhurst have no formal schooling at 1.0% compared to 0.3% in Moscow.
- A higher percentage of residents in Lindenhurst hold a high school diploma at 21.0% compared to 5.7% in Moscow.
- More residents in Lindenhurst have less than a high school education at 10.2% compared to 2.0% in Moscow.
- In Moscow, a larger share of residents have a bachelor's degree or higher at 25.8% compared to 21.2% in Lindenhurst.
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.