Demographics details for Lindenhurst, NY vs Orlando, FL
Population Overview
Compare main population characteristics in Lindenhurst, NY vs Orlando, FL.
Data | Lindenhurst | Orlando |
---|---|---|
Population | 27,064 | 316,081 |
Median Age | 40.3 years | 34.7 years |
Median Income | $115,967 | $66,292 |
Married Families | 43.0% | 31.0% |
Poverty Level | 4% | 12% |
Unemployment Rate | 3.4 | 3.2 |
Population Comparison: Lindenhurst vs Orlando
- The population in Orlando is higher at 316,081, compared to 27,064 in Lindenhurst.
- Residents in Lindenhurst have a higher median age of 40.3 years compared to 34.7 years in Orlando.
- Lindenhurst has a higher median income of $115,967 compared to $66,292 in Orlando.
- A higher percentage of married families is found in Lindenhurst at 43.0% compared to 31.0% in Orlando.
- The poverty level is higher in Orlando at 12%, compared to 4% in Lindenhurst.
- The unemployment rate in Lindenhurst is higher at 3.4%, compared to 3.2% in Orlando.
Demographics
Demographics Lindenhurst vs Orlando provide insight into the diversity of the communities to compare.
Demographic | Lindenhurst | Orlando |
---|---|---|
Black | 4 | 23 |
White | 74 | 23 |
Asian | 2 | 4 |
Hispanic | 15 | 34 |
Two or More Races | 5 | 16 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lindenhurst vs Orlando
- In Orlando, the percentage of Black residents is higher at 23% compared to 4% in Lindenhurst.
- Lindenhurst has a higher percentage of White residents at 74% compared to 23% in Orlando.
- In Orlando, the Asian population stands at 4%, greater than 2% in Lindenhurst.
- Orlando has a higher percentage of Hispanic residents at 34%, compared to 15% in Lindenhurst.
- The percentage of residents identifying as two or more races is higher in Orlando at 16%, compared to 5% in Lindenhurst.
- The percentage of American Indian residents is the same in both Lindenhurst and Orlando at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lindenhurst | Orlando |
---|---|---|
Mental Health Not Good | 15.1% | 15.5% |
Physical Health Not Good | 9.1% | 11.5% |
Depression | 20.9% | 17.2% |
Smoking | 14.3% | 17.7% |
Binge Drinking | 17.3% | 14.1% |
Obesity | 29.3% | 31.1% |
Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Lindenhurst vs Orlando
- In Orlando, a higher percentage report poor mental health at 15.5% compared to 15.1% in Lindenhurst.
- Depression is more prevalent in Lindenhurst at 20.9% compared to 17.2% in Orlando.
- Orlando has a higher smoking rate at 17.7% compared to 14.3% in Lindenhurst.
- Binge drinking is more common in Lindenhurst at 17.3% compared to 14.1% in Orlando.
- Orlando has higher obesity rates at 31.1% compared to 29.3% in Lindenhurst.
- Disability percentages are the same in both Lindenhurst and Orlando at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lindenhurst | Orlando |
---|---|---|
No Schooling | 1.0% (272) | 1.1% (3,445) |
High School Diploma | 21.0% (5,679) | 13.7% (43,377) |
Less than High School | 10.2% (2,762) | 9.2% (29,000) |
Bachelor's Degree and Higher | 21.2% (5,745) | 28.8% (90,981) |
Education Levels Comparison: Lindenhurst vs Orlando
- In Orlando, a larger percentage of residents lack formal schooling at 1.1% compared to 1.0% in Lindenhurst.
- A higher percentage of residents in Lindenhurst hold a high school diploma at 21.0% compared to 13.7% in Orlando.
- More residents in Lindenhurst have less than a high school education at 10.2% compared to 9.2% in Orlando.
- In Orlando, a larger share of residents have a bachelor's degree or higher at 28.8% 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.