Demographics details for Lincroft, NJ vs Pasadena, TX
Population Overview
Compare main population characteristics in Lincroft, NJ vs Pasadena, TX.
| Data | Lincroft | Pasadena |
|---|---|---|
| Population | 6,793 | 147,662 |
| Median Age | 44.4 years | 32.6 years |
| Median Income | $186,875 | $64,698 |
| Married Families | 52.0% | 37.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.2 | 5.9 |
Population Comparison: Lincroft vs Pasadena
- The population in Pasadena is higher at 147,662, compared to 6,793 in Lincroft.
- Residents in Lincroft have a higher median age of 44.4 years compared to 32.6 years in Pasadena.
- Lincroft has a higher median income of $186,875 compared to $64,698 in Pasadena.
- A higher percentage of married families is found in Lincroft at 52.0% compared to 37.0% in Pasadena.
- The poverty level is higher in Pasadena at 12%, compared to 0% in Lincroft.
- Pasadena has a higher unemployment rate at 5.9% compared to 3.2% in Lincroft.
Demographics
Demographics Lincroft vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Lincroft | Pasadena |
|---|---|---|
| Black | Data is updating | 3 |
| White | 83 | -1 |
| Asian | 9 | 2 |
| Hispanic | 3 | 72 |
| Two or More Races | 5 | 23 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lincroft vs Pasadena
- In Pasadena, the percentage of Black residents is higher at 3% compared to 0% in Lincroft.
- Lincroft has a higher percentage of White residents at 83% compared to -1% in Pasadena.
- The Asian population is larger in Lincroft at 9% compared to 2% in Pasadena.
- Pasadena has a higher percentage of Hispanic residents at 72%, compared to 3% in Lincroft.
- The percentage of residents identifying as two or more races is higher in Pasadena at 23%, compared to 5% in Lincroft.
- In Pasadena, the percentage of American Indian residents is higher at 1%, compared to 0% in Lincroft.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lincroft | Pasadena |
|---|---|---|
| Mental Health Not Good | 13.7% | 17.6% |
| Physical Health Not Good | 7.6% | 13.3% |
| Depression | 20.1% | 21.7% |
| Smoking | 10.5% | 18.0% |
| Binge Drinking | 19.9% | 18.1% |
| Obesity | 24.9% | 37.9% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Lincroft vs Pasadena
- In Pasadena, a higher percentage report poor mental health at 17.6% compared to 13.7% in Lincroft.
- Higher depression rates are seen in Pasadena at 21.7% versus 20.1% in Lincroft.
- Pasadena has a higher smoking rate at 18.0% compared to 10.5% in Lincroft.
- Binge drinking is more common in Lincroft at 19.9% compared to 18.1% in Pasadena.
- Pasadena has higher obesity rates at 37.9% compared to 24.9% in Lincroft.
- Disability percentages are the same in both Lincroft and Pasadena at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lincroft | Pasadena |
|---|---|---|
| No Schooling | 0.1% (6) | 3.0% (4,357) |
| High School Diploma | 10.2% (696) | 16.2% (23,948) |
| Less than High School | 1.2% (83) | 33.1% (48,806) |
| Bachelor's Degree and Higher | 44.6% (3,033) | 9.9% (14,596) |
Education Levels Comparison: Lincroft vs Pasadena
- In Pasadena, a larger percentage of residents lack formal schooling at 3.0% compared to 0.1% in Lincroft.
- In Pasadena, the rate of residents with high school diplomas is higher at 16.2% compared to 10.2% in Lincroft.
- The percentage of residents with less than a high school education is higher in Pasadena at 33.1%, compared to 1.2% in Lincroft.
- A higher percentage of residents in Lincroft hold a bachelor's degree or higher at 44.6% compared to 9.9% in Pasadena.
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.