Demographics details for Palestine, TX vs Vineland, NJ
Population Overview
Compare main population characteristics in Palestine, TX vs Vineland, NJ.
Data | Palestine | Vineland |
---|---|---|
Population | 18,981 | 60,491 |
Median Age | 33.1 years | 38.6 years |
Median Income | $43,759 | $63,468 |
Married Families | 36.0% | 35.0% |
Poverty Level | 12% | 11% |
Unemployment Rate | 4.1 | 6.1 |
Population Comparison: Palestine vs Vineland
- The population in Vineland is higher at 60,491, compared to 18,981 in Palestine.
- The median age in Vineland is higher at 38.6 years, compared to 33.1 years in Palestine.
- Vineland has a higher median income of $63,468, compared to $43,759 in Palestine.
- A higher percentage of married families is found in Palestine at 36.0% compared to 35.0% in Vineland.
- Palestine has a higher poverty level at 12% compared to 11% in Vineland.
- Vineland has a higher unemployment rate at 6.1% compared to 4.1% in Palestine.
Demographics
Demographics Palestine vs Vineland provide insight into the diversity of the communities to compare.
Demographic | Palestine | Vineland |
---|---|---|
Black | 28 | 14 |
White | 37 | 27 |
Asian | Data is updating | 2 |
Hispanic | 23 | 43 |
Two or More Races | 12 | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Palestine vs Vineland
- A higher percentage of Black residents are in Palestine at 28% compared to 14% in Vineland.
- Palestine has a higher percentage of White residents at 37% compared to 27% in Vineland.
- In Vineland, the Asian population stands at 2%, greater than 0% in Palestine.
- Vineland has a higher percentage of Hispanic residents at 43%, compared to 23% in Palestine.
- The percentage of residents identifying as two or more races is higher in Vineland at 13%, compared to 12% in Palestine.
- In Vineland, the percentage of American Indian residents is higher at 1%, compared to 0% in Palestine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Palestine | Vineland |
---|---|---|
Mental Health Not Good | 20.1% | 17.0% |
Physical Health Not Good | 14.9% | 13.2% |
Depression | 24.7% | 21.0% |
Smoking | 22.9% | 18.1% |
Binge Drinking | 16.1% | 17.1% |
Obesity | 44.1% | 37.7% |
Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Palestine vs Vineland
- More residents in Palestine report poor mental health at 20.1% compared to 17.0% in Vineland.
- Depression is more prevalent in Palestine at 24.7% compared to 21.0% in Vineland.
- Smoking is more prevalent in Palestine at 22.9% compared to 18.1% in Vineland.
- More residents engage in binge drinking in Vineland at 17.1% compared to 16.1% in Palestine.
- Obesity rates are higher in Palestine at 44.1% compared to 37.7% in Vineland.
- There is a higher percentage of disabled individuals in Vineland at 16.0% compared to 15.0% in Palestine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Palestine | Vineland |
---|---|---|
No Schooling | 1.7% (323) | 2.7% (1,629) |
High School Diploma | 18.3% (3,466) | 18.5% (11,167) |
Less than High School | 11.8% (2,233) | 24.3% (14,709) |
Bachelor's Degree and Higher | 10.0% (1,897) | 15.1% (9,106) |
Education Levels Comparison: Palestine vs Vineland
- In Vineland, a larger percentage of residents lack formal schooling at 2.7% compared to 1.7% in Palestine.
- In Vineland, the rate of residents with high school diplomas is higher at 18.5% compared to 18.3% in Palestine.
- The percentage of residents with less than a high school education is higher in Vineland at 24.3%, compared to 11.8% in Palestine.
- In Vineland, a larger share of residents have a bachelor's degree or higher at 15.1% compared to 10.0% in Palestine.
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.