Immigrants from Oceania vs Immigrants from Nepal Community Comparison

The statistical analysis conducted on geographies consisting of 148,574,224 people shows a significant positive correlation between the proportion of Immigrants from Nepal within Immigrant from Oceania communities in the United States with a correlation coefficient (R) of 0.670. On average, for every 1% (one percent) increase in Immigrants from Oceania within a typical geography, there is an increase of 0.099% in Immigrants from Nepal. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Oceania corresponds to an increase of 99.3 Immigrants from Nepal.

When considering income, the most significant differences between Immigrants from Oceania and Immigrants from Nepal communities in the United States are seen in householder income over 65 years ($64,416 compared to $61,843, a difference of 4.2%), wage/income gap (25.6% compared to 24.9%, a difference of 3.1%), and householder income ages 25 - 44 years ($97,623 compared to $95,322, a difference of 2.4%). Conversely, both communities are more comparable in terms of median male earnings ($55,712 compared to $55,615, a difference of 0.17%), median earnings ($47,617 compared to $47,925, a difference of 0.65%), and median female earnings ($40,297 compared to $40,704, a difference of 1.0%).

When considering poverty, the most significant differences between Immigrants from Oceania and Immigrants from Nepal communities in the United States are seen in receiving food stamps (11.4% compared to 10.6%, a difference of 7.7%), married-couple family poverty (5.0% compared to 4.7%, a difference of 5.9%), and female poverty among 25-34 year olds (13.5% compared to 12.8%, a difference of 5.7%). Conversely, both communities are more comparable in terms of female poverty (13.3% compared to 13.3%, a difference of 0.31%), poverty (12.3% compared to 12.2%, a difference of 0.58%), and child poverty among boys under 16 (16.0% compared to 15.9%, a difference of 0.70%).

When considering unemployment, the most significant differences between Immigrants from Oceania and Immigrants from Nepal communities in the United States are seen in unemployment among ages 30 to 34 years (5.4% compared to 4.7%, a difference of 15.4%), unemployment among ages 35 to 44 years (4.8% compared to 4.2%, a difference of 14.2%), and unemployment among ages 25 to 29 years (6.4% compared to 5.7%, a difference of 10.8%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.3%, a difference of 2.9%), unemployment among women with children ages 6 to 17 years (8.1% compared to 8.3%, a difference of 2.9%), and unemployment among ages 55 to 59 years (4.7% compared to 4.5%, a difference of 3.1%).

When considering labor participation, the most significant differences between Immigrants from Oceania and Immigrants from Nepal communities in the United States are seen in in labor force | age > 16 (65.5% compared to 68.0%, a difference of 3.9%), in labor force | age 45-54 (82.1% compared to 84.0%, a difference of 2.4%), and in labor force | age 20-64 (79.3% compared to 81.1%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.1% compared to 76.0%, a difference of 0.12%), in labor force | age 16-19 (37.9% compared to 38.3%, a difference of 1.1%), and in labor force | age 35-44 (83.9% compared to 85.3%, a difference of 1.7%).

When considering family structure, the most significant differences between Immigrants from Oceania and Immigrants from Nepal communities in the United States are seen in single father households (2.5% compared to 2.2%, a difference of 10.1%), married-couple households (46.9% compared to 45.2%, a difference of 3.8%), and family households (64.9% compared to 62.7%, a difference of 3.5%). Conversely, both communities are more comparable in terms of currently married (46.5% compared to 46.1%, a difference of 0.88%), family households with children (28.1% compared to 28.4%, a difference of 1.1%), and single mother households (6.3% compared to 6.4%, a difference of 2.1%).

When considering vehicle availability, the most significant differences between Immigrants from Oceania and Immigrants from Nepal communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.6%, a difference of 37.0%), 3 or more vehicles in household (21.8% compared to 17.6%, a difference of 23.7%), and no vehicles in household (9.7% compared to 10.5%, a difference of 8.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.5%, a difference of 0.91%), 2 or more vehicles in household (57.5% compared to 53.5%, a difference of 7.5%), and no vehicles in household (9.7% compared to 10.5%, a difference of 8.0%).

When considering education level, the most significant differences between Immigrants from Oceania and Immigrants from Nepal communities in the United States are seen in master's degree (14.7% compared to 17.0%, a difference of 15.6%), doctorate degree (1.9% compared to 2.2%, a difference of 14.1%), and bachelor's degree (37.3% compared to 41.7%, a difference of 11.7%). Conversely, both communities are more comparable in terms of 5th grade (97.1% compared to 97.1%, a difference of 0.0%), 6th grade (96.8% compared to 96.8%, a difference of 0.010%), and 4th grade (97.3% compared to 97.3%, a difference of 0.020%).

When considering disability, the most significant differences between Immigrants from Oceania and Immigrants from Nepal communities in the United States are seen in hearing disability (3.2% compared to 2.7%, a difference of 17.4%), self-care disability (2.5% compared to 2.2%, a difference of 15.2%), and ambulatory disability (6.1% compared to 5.4%, a difference of 12.7%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.4% compared to 5.5%, a difference of 1.4%), cognitive disability (17.6% compared to 18.0%, a difference of 2.6%), and disability age over 75 (48.0% compared to 46.6%, a difference of 3.0%).