Demographics details for Oxford, AL vs Lindenhurst, NY
Population Overview
Compare main population characteristics in Oxford, AL vs Lindenhurst, NY.
| Data | Oxford | Lindenhurst |
|---|---|---|
| Population | 22,002 | 27,064 |
| Median Age | 37.4 years | 40.3 years |
| Median Income | $66,031 | $115,967 |
| Married Families | 37.0% | 43.0% |
| Poverty Level | 10% | 4% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Oxford vs Lindenhurst
- The population in Lindenhurst is higher at 27,064, compared to 22,002 in Oxford.
- The median age in Lindenhurst is higher at 40.3 years, compared to 37.4 years in Oxford.
- Lindenhurst has a higher median income of $115,967, compared to $66,031 in Oxford.
- In Lindenhurst, the percentage of married families is higher at 43.0%, compared to 37.0% in Oxford.
- Oxford has a higher poverty level at 10% compared to 4% in Lindenhurst.
- The unemployment rate in Oxford is higher at 3.5%, compared to 3.4% in Lindenhurst.
Demographics
Demographics Oxford vs Lindenhurst provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Lindenhurst |
|---|---|---|
| Black | 16 | 4 |
| White | 73 | 74 |
| Asian | 1 | 2 |
| Hispanic | 7 | 15 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Lindenhurst
- A higher percentage of Black residents are in Oxford at 16% compared to 4% in Lindenhurst.
- The percentage of White residents is higher in Lindenhurst at 74% compared to 73% in Oxford.
- In Lindenhurst, the Asian population stands at 2%, greater than 1% in Oxford.
- Lindenhurst has a higher percentage of Hispanic residents at 15%, compared to 7% in Oxford.
- The percentage of residents identifying as two or more races is higher in Lindenhurst at 5%, compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Lindenhurst at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Lindenhurst |
|---|---|---|
| Mental Health Not Good | 18.8% | 15.1% |
| Physical Health Not Good | 13.2% | 9.1% |
| Depression | 23.8% | 20.9% |
| Smoking | 19.8% | 14.3% |
| Binge Drinking | 15.1% | 17.3% |
| Obesity | 37.4% | 29.3% |
| Disability Percentage | 19.0% | 9.0% |
Health Statistics Comparison: Oxford vs Lindenhurst
- More residents in Oxford report poor mental health at 18.8% compared to 15.1% in Lindenhurst.
- Depression is more prevalent in Oxford at 23.8% compared to 20.9% in Lindenhurst.
- Smoking is more prevalent in Oxford at 19.8% compared to 14.3% in Lindenhurst.
- More residents engage in binge drinking in Lindenhurst at 17.3% compared to 15.1% in Oxford.
- Obesity rates are higher in Oxford at 37.4% compared to 29.3% in Lindenhurst.
- Disability percentages are higher in Oxford at 19.0% 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 | Oxford | Lindenhurst |
|---|---|---|
| No Schooling | 1.4% (306) | 1.0% (272) |
| High School Diploma | 16.1% (3,534) | 21.0% (5,679) |
| Less than High School | 17.9% (3,933) | 10.2% (2,762) |
| Bachelor's Degree and Higher | 16.5% (3,625) | 21.2% (5,745) |
Education Levels Comparison: Oxford vs Lindenhurst
- A higher percentage of residents in Oxford have no formal schooling at 1.4% compared to 1.0% in Lindenhurst.
- In Lindenhurst, the rate of residents with high school diplomas is higher at 21.0% compared to 16.1% in Oxford.
- More residents in Oxford have less than a high school education at 17.9% compared to 10.2% in Lindenhurst.
- In Lindenhurst, a larger share of residents have a bachelor's degree or higher at 21.2% compared to 16.5% in Oxford.
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.