Demographics details for Falls church, VA vs Oakhurst, NJ
Population Overview
Compare main population characteristics in Falls church, VA vs Oakhurst, NJ.
Data | Falls church | Oakhurst |
---|---|---|
Population | 14,586 | 3,912 |
Median Age | 38.8 years | 37.0 years |
Median Income | $164,536 | $130,313 |
Married Families | 43.0% | 46.0% |
Poverty Level | 6% | 3% |
Unemployment Rate | 2.5 | 4.1 |
Population Comparison: Falls church vs Oakhurst
- In Falls church, the population is higher at 14,586, compared to 3,912 in Oakhurst.
- Residents in Falls church have a higher median age of 38.8 years compared to 37.0 years in Oakhurst.
- Falls church has a higher median income of $164,536 compared to $130,313 in Oakhurst.
- In Oakhurst, the percentage of married families is higher at 46.0%, compared to 43.0% in Falls church.
- Falls church has a higher poverty level at 6% compared to 3% in Oakhurst.
- Oakhurst has a higher unemployment rate at 4.1% compared to 2.5% in Falls church.
Demographics
Demographics Falls church vs Oakhurst provide insight into the diversity of the communities to compare.
Demographic | Falls church | Oakhurst |
---|---|---|
Black | 5 | 5 |
White | 65 | 78 |
Asian | 9 | 1 |
Hispanic | 11 | 4 |
Two or More Races | 10 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Falls church vs Oakhurst
- The percentage of Black residents is the same in both Falls church and Oakhurst at 5%.
- The percentage of White residents is higher in Oakhurst at 78% compared to 65% in Falls church.
- The Asian population is larger in Falls church at 9% compared to 1% in Oakhurst.
- The Hispanic community is larger in Falls church at 11% compared to 4% in Oakhurst.
- The percentage of residents identifying as two or more races is higher in Oakhurst at 12%, compared to 10% in Falls church.
- The percentage of American Indian residents is the same in both Falls church and Oakhurst at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Falls church | Oakhurst |
---|---|---|
Mental Health Not Good | 11.9% | 14.8% |
Physical Health Not Good | 6.5% | 8.6% |
Depression | 19.9% | 20.9% |
Smoking | 7.5% | 12.4% |
Binge Drinking | 18.8% | 19.8% |
Obesity | 30.8% | 26.2% |
Disability Percentage | 7.0% | 6.0% |
Health Statistics Comparison: Falls church vs Oakhurst
- In Oakhurst, a higher percentage report poor mental health at 14.8% compared to 11.9% in Falls church.
- Higher depression rates are seen in Oakhurst at 20.9% versus 19.9% in Falls church.
- Oakhurst has a higher smoking rate at 12.4% compared to 7.5% in Falls church.
- More residents engage in binge drinking in Oakhurst at 19.8% compared to 18.8% in Falls church.
- Obesity rates are higher in Falls church at 30.8% compared to 26.2% in Oakhurst.
- Disability percentages are higher in Falls church at 7.0% compared to 6.0% in Oakhurst.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Falls church | Oakhurst |
---|---|---|
No Schooling | 0.3% (50) | 0.0% (1) |
High School Diploma | 4.1% (597) | 13.8% (538) |
Less than High School | 2.7% (388) | 3.6% (142) |
Bachelor's Degree and Higher | 52.5% (7,660) | 28.5% (1,115) |
Education Levels Comparison: Falls church vs Oakhurst
- A higher percentage of residents in Falls church have no formal schooling at 0.3% compared to 0.0% in Oakhurst.
- In Oakhurst, the rate of residents with high school diplomas is higher at 13.8% compared to 4.1% in Falls church.
- The percentage of residents with less than a high school education is higher in Oakhurst at 3.6%, compared to 2.7% in Falls church.
- A higher percentage of residents in Falls church hold a bachelor's degree or higher at 52.5% compared to 28.5% in Oakhurst.
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.