White/Caucasian vs Immigrants from Korea Community Comparison

The statistical analysis conducted on geographies consisting of 409,988,057 people shows a mild negative correlation between the proportion of Immigrants from Korea within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.337. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.003% in Immigrants from Korea. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 3.1 Immigrants from Korea.

When considering income, the most significant differences between White/Caucasian and Immigrants from Korea communities in the United States are seen in median household income ($82,029 compared to $102,962, a difference of 25.5%), householder income ages 25 - 44 years ($91,668 compared to $113,401, a difference of 23.7%), and householder income ages 45 - 64 years ($98,091 compared to $121,243, a difference of 23.6%). Conversely, both communities are more comparable in terms of wage/income gap (28.5% compared to 27.8%, a difference of 2.6%), householder income under 25 years ($50,336 compared to $55,716, a difference of 10.7%), and median female earnings ($37,531 compared to $44,847, a difference of 19.5%).

When considering poverty, the most significant differences between White/Caucasian and Immigrants from Korea communities in the United States are seen in child poverty under the age of 5 (18.1% compared to 13.2%, a difference of 36.7%), female poverty among 25-34 year olds (14.7% compared to 11.1%, a difference of 31.5%), and receiving food stamps (11.1% compared to 8.7%, a difference of 27.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.0% compared to 10.3%, a difference of 2.5%), seniors poverty over the age of 75 (11.4% compared to 12.0%, a difference of 5.2%), and married-couple family poverty (4.8% compared to 4.5%, a difference of 8.3%).

When considering unemployment, the most significant differences between White/Caucasian and Immigrants from Korea communities in the United States are seen in unemployment among women with children under 6 years (8.4% compared to 6.5%, a difference of 28.5%), unemployment among seniors over 75 years (10.1% compared to 8.1%, a difference of 23.9%), and unemployment among women with children ages 6 to 17 years (9.6% compared to 7.9%, a difference of 21.7%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.0%, a difference of 0.51%), unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.87%), and unemployment among ages 20 to 24 years (10.1% compared to 10.3%, a difference of 1.5%).

When considering labor participation, the most significant differences between White/Caucasian and Immigrants from Korea communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 33.8%, a difference of 22.1%), in labor force | age 20-24 (76.9% compared to 73.1%, a difference of 5.2%), and in labor force | age > 16 (63.6% compared to 66.2%, a difference of 4.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.2% compared to 85.1%, a difference of 1.1%), in labor force | age 35-44 (83.6% compared to 84.6%, a difference of 1.2%), and in labor force | age 30-34 (83.9% compared to 85.2%, a difference of 1.6%).

When considering family structure, the most significant differences between White/Caucasian and Immigrants from Korea communities in the United States are seen in births to unmarried women (33.3% compared to 26.3%, a difference of 26.6%), divorced or separated (12.6% compared to 10.6%, a difference of 18.9%), and single father households (2.4% compared to 2.0%, a difference of 18.0%). Conversely, both communities are more comparable in terms of currently married (48.6% compared to 49.0%, a difference of 0.77%), family households (65.1% compared to 66.0%, a difference of 1.5%), and married-couple households (48.6% compared to 49.9%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between White/Caucasian and Immigrants from Korea communities in the United States are seen in no vehicles in household (7.0% compared to 9.6%, a difference of 36.4%), 3 or more vehicles in household (22.6% compared to 20.5%, a difference of 10.2%), and 4 or more vehicles in household (7.4% compared to 6.8%, a difference of 8.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 90.5%, a difference of 2.9%), 2 or more vehicles in household (60.8% compared to 57.6%, a difference of 5.7%), and 4 or more vehicles in household (7.4% compared to 6.8%, a difference of 8.9%).

When considering education level, the most significant differences between White/Caucasian and Immigrants from Korea communities in the United States are seen in professional degree (4.1% compared to 6.1%, a difference of 49.6%), doctorate degree (1.8% compared to 2.6%, a difference of 49.6%), and master's degree (13.8% compared to 19.7%, a difference of 42.7%). Conversely, both communities are more comparable in terms of 11th grade (93.3% compared to 93.3%, a difference of 0.040%), 10th grade (94.7% compared to 94.2%, a difference of 0.46%), and nursery school (98.5% compared to 98.0%, a difference of 0.47%).

When considering disability, the most significant differences between White/Caucasian and Immigrants from Korea communities in the United States are seen in disability age under 5 (1.7% compared to 1.1%, a difference of 48.8%), disability age 35 to 64 (12.6% compared to 9.0%, a difference of 40.7%), and hearing disability (3.7% compared to 2.7%, a difference of 34.6%). Conversely, both communities are more comparable in terms of cognitive disability (17.0% compared to 16.5%, a difference of 2.8%), disability age over 75 (47.3% compared to 45.8%, a difference of 3.4%), and self-care disability (2.6% compared to 2.3%, a difference of 12.9%).