Immigrants from Oceania vs Immigrants from Korea Community Comparison

The statistical analysis conducted on geographies consisting of 273,423,471 people shows a poor negative correlation between the proportion of Immigrants from Korea within Immigrant from Oceania communities in the United States with a correlation coefficient (R) of -0.122. On average, for every 1% (one percent) increase in Immigrants from Oceania within a typical geography, there is a decrease of 0.008% in Immigrants from Korea. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Oceania corresponds to a decrease of 8.4 Immigrants from Korea.

When considering income, the most significant differences between Immigrants from Oceania and Immigrants from Korea communities in the United States are seen in householder income ages 45 - 64 years ($103,705 compared to $121,243, a difference of 16.9%), median male earnings ($55,712 compared to $65,079, a difference of 16.8%), and householder income ages 25 - 44 years ($97,623 compared to $113,401, a difference of 16.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,680 compared to $55,716, a difference of 3.8%), wage/income gap (25.6% compared to 27.8%, a difference of 8.4%), and householder income over 65 years ($64,416 compared to $70,696, a difference of 9.8%).

When considering poverty, the most significant differences between Immigrants from Oceania and Immigrants from Korea communities in the United States are seen in receiving food stamps (11.4% compared to 8.7%, a difference of 31.4%), child poverty under the age of 5 (16.9% compared to 13.2%, a difference of 27.7%), and child poverty among boys under 16 (16.0% compared to 13.0%, a difference of 22.9%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 15.5%, a difference of 0.22%), seniors poverty over the age of 65 (10.4% compared to 10.3%, a difference of 1.4%), and seniors poverty over the age of 75 (11.7% compared to 12.0%, a difference of 3.2%).

When considering unemployment, the most significant differences between Immigrants from Oceania and Immigrants from Korea communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.5%, a difference of 15.0%), unemployment among seniors over 75 years (9.0% compared to 8.1%, a difference of 10.6%), and unemployment among ages 35 to 44 years (4.8% compared to 4.3%, a difference of 10.2%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.4% compared to 11.5%, a difference of 0.31%), female unemployment (5.2% compared to 5.1%, a difference of 0.75%), and unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 0.89%).

When considering labor participation, the most significant differences between Immigrants from Oceania and Immigrants from Korea communities in the United States are seen in in labor force | age 16-19 (37.9% compared to 33.8%, a difference of 12.0%), in labor force | age 20-24 (76.1% compared to 73.1%, a difference of 4.1%), and in labor force | age 45-54 (82.1% compared to 83.7%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.9% compared to 84.6%, a difference of 0.91%), in labor force | age > 16 (65.5% compared to 66.2%, a difference of 1.1%), and in labor force | age 25-29 (84.2% compared to 85.1%, a difference of 1.1%).

When considering family structure, the most significant differences between Immigrants from Oceania and Immigrants from Korea communities in the United States are seen in single father households (2.5% compared to 2.0%, a difference of 21.3%), single mother households (6.3% compared to 5.3%, a difference of 18.8%), and births to unmarried women (30.6% compared to 26.3%, a difference of 16.4%). Conversely, both communities are more comparable in terms of family households with children (28.1% compared to 28.5%, a difference of 1.4%), family households (64.9% compared to 66.0%, a difference of 1.8%), and average family size (3.29 compared to 3.23, a difference of 2.0%).

When considering vehicle availability, the most significant differences between Immigrants from Oceania and Immigrants from Korea communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.8%, a difference of 12.8%), 3 or more vehicles in household (21.8% compared to 20.5%, a difference of 6.4%), and no vehicles in household (9.7% compared to 9.6%, a difference of 1.4%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.5% compared to 57.6%, a difference of 0.020%), 1 or more vehicles in household (90.4% compared to 90.5%, a difference of 0.14%), and no vehicles in household (9.7% compared to 9.6%, a difference of 1.4%).

When considering education level, the most significant differences between Immigrants from Oceania and Immigrants from Korea communities in the United States are seen in doctorate degree (1.9% compared to 2.6%, a difference of 37.6%), master's degree (14.7% compared to 19.7%, a difference of 34.4%), and professional degree (4.6% compared to 6.1%, a difference of 33.4%). Conversely, both communities are more comparable in terms of kindergarten (97.8% compared to 98.0%, a difference of 0.17%), 1st grade (97.8% compared to 97.9%, a difference of 0.17%), and 2nd grade (97.7% compared to 97.9%, a difference of 0.17%).

When considering disability, the most significant differences between Immigrants from Oceania and Immigrants from Korea communities in the United States are seen in disability age 35 to 64 (11.4% compared to 9.0%, a difference of 26.7%), vision disability (2.2% compared to 1.8%, a difference of 18.8%), and disability age 65 to 74 (24.0% compared to 20.4%, a difference of 17.7%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.1%, a difference of 4.1%), disability age over 75 (48.0% compared to 45.8%, a difference of 4.9%), and cognitive disability (17.6% compared to 16.5%, a difference of 6.5%).